content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def cbar_for_line_plot(axis, num_steps, discrete_ticks=True, **kwargs):
"""
Adds a colorbar next to a line plot axis
Parameters
----------
axis : matplotlib.axes.Axes
Axis with multiple line objects
num_steps : uint
Number of steps in the colorbar
discrete_ticks : (optional)... | b9d83d93f7b86259a796cc71638a0bef0c81dce7 | 9,797 |
from typing import Union
def get_config_based_on_config_file(path: str) -> Union[Config, None]:
"""
load config and check if section exist or not
:param path: path to config file
:return: None if section [laziest] not exist in Config object updated with params from section if exist
"""
cfg... | 1a537aace82528ff1163deadeea3c48b9289c622 | 9,798 |
import typing
import asyncio
import concurrent
def threadpooled( # noqa: F811
func: typing.Optional[typing.Callable[..., typing.Union["typing.Awaitable[typing.Any]", typing.Any]]] = None,
*,
loop_getter: typing.Union[None, typing.Callable[..., asyncio.AbstractEventLoop], asyncio.AbstractEventLoop] = None... | 77a91a627569a069728531e2baaa92d8ee5609b3 | 9,799 |
def koven_temp_atten(soiltemp, airtemp):
"""Define thermal attenuation ratios as in Koven et al 2013."""
# read in list of observed lats and lons from Koven paper
ex_points = permafrost_koven_sites.site_points
# make amplitudes
airtemp_ampl = make_monthly_amp(airtemp)
soiltemp_ampl = make_month... | a9d0ab18cef1a311ee72fc653089acf96f157cf6 | 9,800 |
def clipup(step_size: float,
momentum: float = 0.9,
max_speed: float = 0.15,
fix_gradient_size: bool = True):
"""Construct optimizer triple for ClipUp."""
step_size = optimizers.make_schedule(step_size)
def init(x0):
v0 = jnp.zeros_like(x0)
return x0, v0
... | 7ab67ba4bfb164c2816b6dc478d0a99b85324b66 | 9,801 |
def ramsey_echo_sequence(length, target):
"""
Generate a gate sequence to measure dephasing time in a two-qubit chip including a flip in the middle.
This echo reduce effects detrimental to the dephasing measurement.
Parameters
----------
length : int
Number of Identity gates. Should be ... | 0fbe66b915e94b568b5c051c5982ee4e8aeaf945 | 9,802 |
import sympy
def gauss_elimination(matrix) -> np.array:
"""
This function compute Gauss elimination process
:param matrix: generic matrix
:return: matrix after the Gauss elimination
"""
return np.array(sympy.Matrix(matrix).rref()[0]) | e25cb59808ac189bd858d3fc564aec034d7fc841 | 9,803 |
def prune(value, is_removable_function=is_removable):
"""
Deletes ``None`` and empty lists and dicts, recursively.
"""
if isinstance(value, list):
for i, v in enumerate(value):
if is_removable_function(value, i, v):
del value[i]
else:
prun... | 1e254cf2df988f4c7e782b7dace82222e7f09910 | 9,804 |
import math
def n_permutations(n, r=None):
"""Number of permutations (unique by position)
:param n: population length
:param r: sample length
:return: int
"""
if r is None:
r = n
if n < 0 or r < 0:
raise ValueError("n and r must be positive")
if n == 0 or r > n:
... | 441081c534c07bb98b6a32cce4c87d64b030a5a7 | 9,806 |
def parse_s3_event(event):
"""Decode the S3 `event` message generated by message write operations.
See S3 docs: https://docs.aws.amazon.com/AmazonS3/latest/userguide/notification-content-structure.html
See also the callers of this function.
Returns bucket_name, ipppssoot
"""
log.verbose("S3 Ev... | bf9530d49191f29d1132188507da55c7568e26a6 | 9,807 |
def clip_2d_liang_barsky(xmin, ymin, xmax, ymax, x0, y0, x1, y1):
"""Clips the two-dimensional line segment by the algorithm of Liang and
Barsky. Adapted from James D. Foley, ed., __Computer Graphics: Principles
and Practice__ (Reading, Mass. [u.a.]: Addison-wesley, 1998), 122.
Parameters
--------... | d38dc2fcda72fe186d95befd1e0e2ef2c688297e | 9,808 |
import re
def _(pattern, key_path: str, case_ignored=False) -> bool:
"""Called when the concerned Key is defined as a re.Pattern, and case_ignored flag is neglected."""
return re.fullmatch(pattern, key_path) is not None | c5759a7940dcb9babc791322cac1397a640dc94d | 9,809 |
def sophos_firewall_web_filter_update_command(client: Client, params: dict) -> CommandResults:
"""Update an existing object
Args:
client (Client): Sophos XG Firewall Client
params (dict): params to update the object with
Returns:
CommandResults: Command results object
"""
r... | f8306dcce60de64dea3114137f0a27813f455a56 | 9,810 |
def transition_with_random_block(block_randomizer):
"""
Build a block transition with randomized data.
Provide optional sub-transitions to advance some
number of epochs or slots before applying the random block.
"""
return {
"block_producer": block_randomizer,
} | acf0d285a7633b40ffb46853831412dafa6617e5 | 9,811 |
def vmobj_to_list(o):
"""Converts TVM objects returned by VM execution to Python List.
Parameters
----------
o : Obj
VM Object as output from VM runtime executor.
Returns
-------
result : list
Numpy objects as list with equivalent values to the input object.
"""
i... | 8ecc9e22b47072adea98f1fc23f00a696619d0a4 | 9,812 |
import logging
def fetch_run(workspace: Workspace, run_recovery_id: str) -> Run:
"""
Finds an existing run in an experiment, based on a recovery ID that contains the experiment ID
and the actual RunId. The run can be specified either in the experiment_name:run_id format,
or just the run_id.
:param... | 91255f02888ef1186d18e21e42c4343713bb3b29 | 9,813 |
def get_wl_band(radar_frequency):
"""Returns integer corresponding to radar frequency.
Args:
radar_frequency (float): Radar frequency (GHz).
Returns:
int: 0=35GHz radar, 1=94Ghz radar.
"""
return 0 if (30 < radar_frequency < 40) else 1 | cf2eaa12f111f7ad6751fb31f58e0bc01666494a | 9,814 |
def get_topology_node(name: str, topology: ServiceTopology) -> TopologyNode:
"""
Fetch a topology node by name
:param name: node name
:param topology: service topology with all nodes
:return: TopologyNode
"""
node = topology.__dict__.get(name)
if not node:
raise ValueError(f"{nam... | 996e6cc1e69a44eb1ce8e4e041d7af84d592e894 | 9,815 |
import hashlib
def md5hash(string):
"""
Return the MD5 hex digest of the given string.
"""
return hashlib.md5(string).hexdigest() | cfc0d44c3c84fb08d277d7b397a5aca453025d96 | 9,816 |
def userlist(request):
"""Shows a user list."""
return common_userlist(request, locale=request.view_lang) | bdfd4477d352d62076d644e045d746a5912993e6 | 9,817 |
def return_heartrates(patient_id):
"""
access database to get heart rate history for a patient
:param patient_id: integer ID of patient to get heart rates of
:return: json with the heart rate list for patient, or error message
"""
patient_id = int(patient_id)
if heart_server_helpers.valida... | 864c3912bcd5be43c43c6ccfc17c0e6f675c7d6d | 9,818 |
def describe_vpn_connections_header():
"""generate output header"""
return misc.format_line((
"Account",
"Region",
"VpcId",
"VpcCidr",
"VpnName",
"VpnId",
"State",
"CutomerGwId",
"CutomerGwAddress",
"Ty... | 5539f2beb017f9c2aaaa4b4a70952f1c17fa5761 | 9,819 |
def to_numpy(a):
"""Convert an object to NumPy.
Args:
a (object): Object to convert.
Returns:
`np.ndarray`: `a` as NumPy.
"""
return convert(a, NPOrNum) | 4af733bd61256505d7db49d74d0dc1f96e10701d | 9,820 |
def transpose(self, perm=None, copy=True):
"""Return a tensor with permuted axes.
Parameters
----------
perm : Union[Sequence[int], dragon.Tensor]], optional
The output permutation.
copy : bool, optional, default=True
Return a new tensor or transpose in-place.
Returns
-----... | be340cf2797555870020d55c163d2765346fd6fa | 9,821 |
def brainrender_vis(regions, colors=None, atlas_name="allen_mouse_25um"):
"""Visualise regions in atlas using brainrender"""
if colors is None:
cm = ColorManager(num_colors=len(regions), method="rgb")
colors = cm.colors
def get_n_random_points_in_region(region, N):
"""
Gets... | a85fda126f482a5ee1be9b7d129f7b091bc26c79 | 9,822 |
def randsel(path, minlen=0, maxlen=None, unit="second"):
"""Randomly select a portion of audio from path.
Parameters
----------
path: str
File path to audio.
minlen: float, optional
Inclusive minimum length of selection in seconds or samples.
maxlen: float, optional
Excl... | de9e328eb025ab54f6a25bf1b028212470339c8d | 9,823 |
import splunklib
from datetime import datetime
def parse_datetime(splunk_uri, session_key, time_str):
"""
Leverage splunkd to do time parseing,
:time_str: ISO8601 format, 2011-07-06T21:54:23.000-07:00
"""
if not time_str:
return None
scheme, host, port = tuple(splunk_uri.replace("/"... | bece967102ae37ec0cd1a1eb84e3bfc3eb5bef0f | 9,824 |
def _get_assessment_url(assessment):
"""Returns string URL for assessment view page."""
return urlparse.urljoin(utils.get_url_root(), utils.view_url_for(assessment)) | fd6c7a8dcb4a28a244645dcd93610d18682672b4 | 9,825 |
from typing import Set
def get_secret_setting_names(settings: dict) -> Set[str]:
"""guess the setting names that likely contain sensitive values"""
return {
key for key in settings.keys()
if AUTOFIND_SECRET_SETTINGS.match(key)
and key not in AUTOFIND_SECRET_SETTINGS_EXCLUDED
} | {
... | 7cd7c8d90299d0bb3b143d10901ed33a90e85645 | 9,826 |
import base64
import requests
def main(dict):
"""
Function that allows to send a get request to twitter API and retrieve the last 3 tweets of a
specific account name. The parameter of the account is passed by Watson Assistant throught a
context variable.
Args:
dict (dict): containing ... | 5dddf4ad7c4ee45d1bf3a61f308989dffc451cc2 | 9,827 |
def build_classifier_model(tfhub_handle_preprocess, tfhub_handle_encoder):
"""Builds a simple binary classification model with BERT trunk."""
text_input = tf.keras.layers.Input(shape=(), dtype=tf.string, name='text')
preprocessing_layer = hub.KerasLayer(tfhub_handle_preprocess, name='preprocessing')
... | 03267ac3ab89acf3b6e7381e0149917371e1f29f | 9,828 |
def execute_sql(sql: str, param: list):
"""
执行查询sql, 返回列表
:param param: 执行参数
:param sql: 执行的sql语句
:return: 结果列表
"""
cursor = connection.cursor()
res = cursor.execute(sql, param)
return res | cf33a7f4d6b6486def88e6a8256ebbfe8a5a2b0d | 9,829 |
def query_jwt_required(fn):
"""
A decorator to protect a query resolver.
If you decorate an resolver with this, it will ensure that the requester
has a valid access token before allowing the resolver to be called. This
does not check the freshness of the access token.
"""
@wraps(fn)
def... | 74d665dd853deb180554db13cfb40af5815d2858 | 9,830 |
def callers_for_code(code):
"""
Return all users matching the code.
:param code:
:return:
"""
return db.session.query(Caller).filter(Caller.code==code).all() | b8b1779c880144e8455e17a6f8c5051daa0839b2 | 9,831 |
import numpy
import collections
import json
def WriteJsonFile(filename, params, database):
"""Write database out as a .dat file.
Args:
filename: Name of output file to write database to.
params: Parameter structure used to generate the database.
database: Dictionary of ndarrays of aerodynamic coeffic... | 38fe51e463bb099ecb7f1a5beb3c427f471b7611 | 9,832 |
def headers():
""" default HTTP headers for all API calls """
return {"Content-type": "application/json"} | e601410c7ba22f28a88e47742349087744495c6b | 9,833 |
import logging
def preprocess_confidence(train_df, test_df=None):
"""
Feature creation that should be done given training data and then merged \
with test data.
"""
ATTRIBUTION_CATEGORIES = [
# V1 Features #
###############
['ip'], ['app'], ['device'], ['os'], ['channel'],
... | ff157a02ac9253fb1fd2e2306fb207f6c0022317 | 9,834 |
def ancestral_state_pair(aln,tree,pos1,pos2,\
ancestral_seqs=None,null_value=gDefaultNullValue):
"""
"""
ancestral_seqs = ancestral_seqs or get_ancestral_seqs(aln,tree)
ancestral_names_to_seqs = \
dict(zip(ancestral_seqs.Names,ancestral_seqs.ArraySeqs))
distances = tree.getDistances()
... | f5f1b58231dea83f2d546cc3ffb42ae94b769107 | 9,835 |
def get_a(i,j,k):
"""returns between tad coordinates"""
i,j,k = np.sort([i,j,k])
ax,ay=[],[]
for x_ in range(i,j+1):
for y_ in range(j+1,k+1):
ax.append(x_)
ay.append(y_)
return ax,ay | ed32978045b32d4bf6863919177a726f5ee55d76 | 9,836 |
def get_mode(input_list: list):
"""
Get's the mode of a certain list. If there are few modes, the function returns False.
This is a very slow way to accomplish this, but it gets a mode, which can only be 4 things, so it should be OK
"""
if len(input_list) == 0:
return False
distinguish... | 552620bb68e3922dff7b19f52f5da9dbee813ca3 | 9,837 |
def qqe(close, length=None, smooth=None, factor=None, mamode=None, drift=None, offset=None, **kwargs):
"""Indicator: Quantitative Qualitative Estimation (QQE)"""
# Validate arguments
length = int(length) if length and length > 0 else 14
smooth = int(smooth) if smooth and smooth > 0 else 5
factor = f... | 9f1da38313effb6a585dd4b6a162034b83989557 | 9,838 |
def reference_col(
tablename, nullable=False, pk_name="id", foreign_key_kwargs=None, column_kwargs=None
):
"""Column that adds primary key foreign key reference.
Usage: ::
category_id = reference_col('category')
category = relationship('Category', backref='categories')
"""
foreign_... | a266d81ac1c323dcf6d19e511b147b2b190b3c7e | 9,839 |
def Ei(x, minfloat=1e-7, maxfloat=10000):
"""Ei integral function."""
minfloat = min(np.abs(x), minfloat)
maxfloat = max(np.abs(x), maxfloat)
def f(t):
return np.exp(t) / t
if x > 0:
return (quad(f, -maxfloat, -minfloat)[0] + quad(f, minfloat, x)[0])
else:
return quad(f, ... | 6c6630f4d9a188ccb7a2e7a77b26a8c89a976e65 | 9,840 |
def _MaybeMatchCharClassEsc (text, position, include_sce=True):
"""Attempt to match a U{character class escape
<http://www.w3.org/TR/xmlschema-2/#nt-charClassEsc>}
expression.
@param text: The complete text of the regular expression being
translated
@param position: The offset of the backslash... | 55394c636b94ea2008161e350ba9e9de3250555d | 9,841 |
import urllib
import http
def request(command, url, headers={}, data=None):
"""Mini-requests."""
class Dummy:
pass
parts = urllib.parse.urlparse(url)
c = http.client.HTTPConnection(parts.hostname, parts.port)
c.request(
command,
urllib.parse.urlunparse(parts._replace(sche... | a08c0be0549ebe133f42ca56b77c4f113627db2a | 9,842 |
import time
def sum_of_n_2(n):
"""
迭代求和，仅使用加法。
:param n: 1 到 n 的和
:return: 元组（元素的组合），第一位为值，第二位为所花时间
"""
start = time.time()
the_sum = 0
for i in range(1, n + 1):
the_sum = the_sum + i
end = time.time()
return the_sum, end - start | 45a07d5a8d02f515b8d0730a9a10bf71398092e8 | 9,844 |
def TSA_t_g( temperature, temperature_vegetation, vegetation_fraction):
"""
//Temperature of ground from Tvegetation
//Based on two sources pixel split
//Chen et al., 2005. IJRS 26(8):1755-1762.
//Estimation of daily evapotranspiration using a two-layer remote sensing model.
Ground temperature, bare soil
TSA_t_g... | c1189f2554e3f7dba13a2c8fd8698f906d343611 | 9,845 |
def get_dict_buildin(dict_obj, _type=(int, float, bool, str, list, tuple, set, dict)):
"""
get a dictionary from value, ignore non-buildin object
"""
non_buildin = {key for key in dict_obj if not isinstance(dict_obj[key], _type)}
return dict_obj if not non_buildin else {key: dict_obj[key] for key in... | 14e68e5cc5c35a5e4a440dfb4c842a987c441da6 | 9,846 |
def start(timeout=5, backlog_reassign_delay=None):
"""Create, start, and return the block pipeline."""
pipeline = create_pipeline(timeout=timeout,
backlog_reassign_delay=backlog_reassign_delay)
pipeline.start()
return pipeline | cb157de13af43af5830ffc75654fdba16de4da44 | 9,848 |
def preprocess_variable_features(features, interaction_augmentation, normalization):
"""
Features preprocessing following Khalil et al. (2016) Learning to Branch in Mixed Integer Programming.
Parameters
----------
features : 2D np.ndarray
The candidate variable features to preprocess.
i... | 2b8d32a69e4ebe645fc942e7fe57ecea1560f158 | 9,849 |
def reverse_inverse_from_cholesky_band_proto(S, l):
"""
S -> L
:param S: sparse subset inverse of banded matrix L
:param l: number of subdiagonals in S
:return: Ls: reconstructed cholesky decomposition
"""
# forward pass
k = l + 1 # bandwidth
n = S.shape[1]
# construct vector e ... | 90c421fc71a76be0adff7ce49d62bc5b364fdf94 | 9,851 |
def fused_bn_grad_5D_run_2(shape, dtype, eps, kernel_name, attrs):
""" test bnGrad_2 """
def get_expect(dgamma_red_hw, dbeta_red_hw, var, gamma, eps, data_shape):
m = data_shape[0] * data_shape[2] * data_shape[3]
neg_m_rec = -1.0 / m
eps = np.array([eps], dtype=var.dtype).reshape([1] * 5... | 0d792e48be537c7415c9e3ac465f39de5d1c136c | 9,852 |
import numpy
def get_best_distance(pdb_file, reference_point, resname="GRW"):
"""
Finds fragment atom closest to the user-defined reference point.
Parameters
----------
pdb_file : str
Path to PDB file.
reference_point : list[float]
Coordinates of the reference point to which t... | 5ad05055ddede103e2f24d91adbb6c950f6bf886 | 9,853 |
def default_IM_weights(IM_j: IM, IMs: np.ndarray) -> pd.Series:
"""
Returns the default IM weights based on the conditioning IM
If the conditioning IM (IM_j) is spectral acceleration (SA) the
weighting is 70% across the SAs and 30% across all other IMs
Otherwise a uniform weighting distribution is... | d13dcd0e1022923512e35b798307e27e90aba40f | 9,854 |
from typing import Type
import mimetypes
def guess_file_type(filename: FileSystemPath) -> Type[PackFile]:
"""Helper to figure out the most appropriate file type depending on a filename."""
filename = str(filename)
if filename.endswith(".json"):
return JsonFile
elif filename.endswith((".yml", ... | eedb9f90f8caa754334614017f48ccafea6d2a07 | 9,855 |
import math
def _fcn_mg_joint_pos(t, q_init, q_end, t_strike_end):
"""Helper function for `create_mg_joint_pos_policy()` to fit the `TimePolicy` scheme"""
return ((q_end - q_init) * min(t / t_strike_end, 1) + q_init) / 180 * math.pi | 892a494ea5ee2033d2f29efe7400bce8aab30c1c | 9,856 |
def test_circuit_run(default_compilation_configuration):
"""Test function for `run` method of `Circuit`"""
def f(x):
return x + 42
x = hnp.EncryptedScalar(hnp.UnsignedInteger(3))
inputset = range(2 ** 3)
circuit = hnp.compile_numpy_function(f, {"x": x}, inputset, default_compilation_confi... | 068473b1390e9af69ef11d9c4189012ffa2c403e | 9,857 |
def detection():
"""
Programmed by: David Williams, Aspen Henry, and Slate Hayes
Description: detection is a state where the server tries to find all the faces in a frame, if a face is registered
then it looks for fingers held up next to the face.
"""
#STEP 1: Get and Process frame
# print("Detection!")
fra... | b5b36a8cceeb38467ae5f63840dfc13c8af9cfe7 | 9,858 |
import re
def rex_coverage(patterns, example_freqs, dedup=False):
"""
Given a list of regular expressions and a dictionary of examples
and their frequencies, this counts the number of times each pattern
matches a an example.
If ``dedup`` is set to ``True``, the frequencies are ignored, so that on... | a9ac988348d1fa037508b0a2b6c71e077ca41627 | 9,859 |
def build_diamond(validated_letter):
"""
>:param str validated_letter: A capital letter, that will be used to generate the
list of strings needed to print out the diamond.
>**Returns:** A list a strings that contains the correct spacing for printing
the diamond.
build_diamond is used to genera... | bd55281ee275d402d4f35701daacb3be0246812e | 9,860 |
from datetime import datetime
def human_timestamp(timestamp, now=datetime.datetime.utcnow):
"""Turn a :py:class:`datetime.datetime` into a human-friendly string."""
fmt = "%d %B at %H:%M"
if timestamp.year < now().year:
fmt = "%d %B %Y at %H:%M"
return timestamp.strftime(fmt) | 37cc6a3918aaa3622945f6650903f64a371e86a9 | 9,861 |
from typing import Concatenate
def inception_block(x: tf.keras.layers.Layer, nb_filters: int=64, name: str="block1"):
"""
3D inception block, as per Itzik et al. (2018)
"""
conv3d = partial(Conv3D, activation="linear", use_bias=False, padding="same")
batchn = partial(BatchNormalization, momentum=... | 8cfebd2a147fb1d8b6174df87dd220ab15a56205 | 9,862 |
import collections
def _flatten_dict(d, parent_key='', sep='/'):
"""Flattens a dictionary, keeping empty leaves."""
items = []
for k, v in d.items():
path = parent_key + sep + k if parent_key else k
if isinstance(v, collections.MutableMapping):
items.extend(_flatten_dict(v, path, sep=sep).items())... | 4bfb4c19209cb7997856a337c7ad66965598571a | 9,863 |
def secret():
"""
Authenticated only route
@authenticated will flash a message if not authed
"""
return render_template('secret.html') | 4c0708d3e65942d3afbeaa2159f55a735a31a6a9 | 9,864 |
def mk_graph(img_dim, num_labels, poly_width = 3, depth = 3, hidd_repr_size = 512):
""" The function that creates and returns the graph required to
img_dim = image dimensions (Note, that the image needs to be flattened out before feeding here)
num_labels = no_of classes to classify into
"""
... | a6d63bd967762289f1998af391112a682f89234f | 9,865 |
def createrawtransaction(inputs, outputs, outScriptGenerator=p2pkh):
"""
Create a transaction with the exact input and output syntax as the bitcoin-cli "createrawtransaction" command.
If you use the default outScriptGenerator, this function will return a hex string that exactly matches the
output of bit... | 05d41c89356513d989eaffdfc3a89fb4e987e0a5 | 9,868 |
from typing import List
def get_versions() -> List[str]:
"""
Gets a list of recognized CRSD urns.
Returns
-------
List[str]
"""
return list(sorted(urn_mapping.keys())) | e1730f386a4e26197800069a8f93b1a8ff850512 | 9,869 |
import math
def k2_factor_sq(df=inf,p=95):
"""Return a squared coverage factor for an elliptical uncertainty region
:arg df: the degrees-of-freedom (>=2)
:arg p: the coverage probability (%)
:type df: float
:type p: int or float
Evaluates the square of the coverage factor for an elliptical u... | b6c4fbb0eb1bbb5a9c15ab44c791d937bc7bebd2 | 9,870 |
def get_cluster_version_path(cluster_id):
"""
Gives s3 full path of cluster_version file of a given cluster_id
"""
base_path = s3.get_cluster_info_base_path()
return "%s/%s/cluster_version.json"%(base_path, cluster_id) | ef514cde40aa582aa265ac2fd912077e3e1e17c9 | 9,871 |
import importlib
def import_module_attribute(function_path):
"""Import and return a module attribute given a full path."""
module, attribute = function_path.rsplit(".", 1)
app_module = importlib.import_module(module)
return getattr(app_module, attribute) | ce2647bb193c2a6c07949073f7c0d142ee8cd1b5 | 9,872 |
def rgb_to_hex(red, green, blue):
"""Give three color arrays, return a list of hex RGB strings"""
pat = "#{0:02X}{1:02X}{2:02X}"
return [pat.format(r & 0xff, g & 0xff, b & 0xff)
for r, g, b in zip(red, green, blue)] | 9126ae9e05d4a005d397f13fd4f0d9400efe5a65 | 9,873 |
from typing import Tuple
def run_cli(cmd: str, print_output: bool = True, check: bool = False,) -> Tuple[int, str, str]:
"""Runs the command with `dcos` as the prefix to the shell command
and returns a tuple containing exit code, stdout, and stderr.
eg. `cmd`= "package install pkg-name" results in:
$... | 3c6697061dab28fd3f741931d7f2430360f037ae | 9,874 |
def get_initialization(arg, indent_count):
"""Get the initialization string to use for this argument."""
t = get_base_c_type(arg)
if arg.is_array():
if t == "char*":
init = '[] = { "String 1", "String 2", "String 0" }'
else:
if arg.is_dictionary() or arg.is_structure... | cc9867966b40bf9a0ce1a43c13cfd0040a3322db | 9,875 |
import re
from datetime import datetime
def get_time_source_from_output(output):
""" Parse out 'Time Source' value from output
Time source output example : 'Time source is NTP, 23:59:38.461 EST Thu Jun 27 2019'
'Time source is NTP, *12:33:45.355 EST Fri Feb 7 2020'
... | aae9c208e06d99ff6eb4ae9699946d0b17e53ca7 | 9,876 |
def getStyleFX():
"""
Defines and returns the style effects
Returns: style effects (list of MNPR_FX)
"""
# general effects
distortionFX = MNPR_FX("distortion", "Substrate distortion", "controlSetB", [[1, 0, 0, 0]], ["distort", "revert"], ["noise"])
gapsOverlapsFX = MNPR_FX("gaps-overlaps", "... | acb9382e041b99c9c76a6baa821b220192176bdd | 9,877 |
def deaths_this_year() -> dict:
"""Get number of deaths this year."""
return get_metric_of(label='deaths_this_year') | ae6f9ee5d00ebbf7dc7fea0c3702695268a38a17 | 9,878 |
def get_cls_dropdown_tree_view_item(object_name):
"""Get and return class of TreeViewItem Dropdown object according to
snapshotability
"""
base_cls = tree_view_item.CommonDropdownTreeViewItem
if object_name in objects.ALL_SNAPSHOTABLE_OBJS:
base_cls = tree_view_item.SnapshotsDropdownTreeViewItem
return ... | f9ee30bb75b2cd84e381293be1b0e2f6dc7a5d7b | 9,879 |
def make_webhdfs_url(host, user, hdfs_path, op, port=50070):
""" Forms the URL for httpfs requests.
INPUT
-----
host : str
The host to connect to for httpfs access to HDFS. (Can be 'localhost'.)
user : str
The user to use for httpfs connections.
hdfs_path : str
The full... | c4899d75fd54558c6216889cbc749f5d0fe403df | 9,880 |
def get_slash_mapping(bot: commands.Bot):
"""Get all the prefix commands groupped by category."""
categories = {}
for command in bot.slash_commands:
if command:
category_name = get_cog_category(command.cog)
# categories are organized by cog folders
try:
... | dfb7eef9aac5df011ee2801a9976723f8f4f8c7a | 9,881 |
def part_to_text(part):
"""
Converts an e-mail message part into text.
Returns None if the message could not be decoded as ASCII.
:param part: E-mail message part.
:return: Message text.
"""
if part.get_content_type() != 'text/plain':
return None
charset = part.get_content_char... | f6831014a5100e6addaebc5889a5e1c40f74381b | 9,883 |
def icwt(Wx, wavelet='gmw', scales='log-piecewise', nv=None, one_int=True,
x_len=None, x_mean=0, padtype='zero', rpadded=False, l1_norm=True):
"""The inverse Continuous Wavelet Transform of `Wx`, via double or
single integral.
# Arguments:
Wx: np.ndarray
CWT computed via `ssque... | dc41ac93ab5e9b71fb6afa34e9e545da4b9e81d5 | 9,884 |
def AdvApp2Var_MathBase_msc_(*args):
"""
:param ndimen:
:type ndimen: integer *
:param vecte1:
:type vecte1: doublereal *
:param vecte2:
:type vecte2: doublereal *
:rtype: doublereal
"""
return _AdvApp2Var.AdvApp2Var_MathBase_msc_(*args) | e8204854d32b2bcb174a779b4eb5e1617563dd1e | 9,885 |
def chunkify(arr, n):
"""Breaks a list into n chunks.
Last chunk may not be equal in size to other chunks
"""
return [arr[i : i + n] for i in range(0, len(arr), n)] | 10df800440e8c1d5e4070dc48dd8c7ecc12f3c83 | 9,886 |
def _run_command(command, targets, options):
# type: (str, List[str], List[str]) -> bool
"""Runs `command` + `targets` + `options` in a
subprocess and returns a boolean determined by the
process return code.
>>> result = run_command('pylint', ['foo.py', 'some_module'], ['-E'])
>>> result
Tr... | def38e07dd55b5c45d591e6a677937774185962d | 9,887 |
from typing import Counter
from typing import List
from typing import Dict
def find_untranscribed_words(
gt: Counter, machine: Counter
) -> List[Dict[str, any]]:
"""
Finds untranscribed words.
That is, we find if there exist words in the GT which never occur in the machine transcription.
:param gt: Count... | e120898ce32f98cedcfb6831cd288e1700d14189 | 9,888 |
def set_line_length(length):
"""
set_line_length(int length)
Sets the maximum line length for log messages.
Messages longer than this amount will be broken up into multiline messages.
Parameters
----------
* length :
the maximum log message line length in characters
... | 4269b8fb1f28f700cb4150e217e3b85f1491b91d | 9,890 |
def get_teams(pbp_json):
"""
Get teams
:param pbp_json: raw play by play json
:return: dict with home and away
"""
return {'Home': shared.get_team(pbp_json['gameData']['teams']['home']['name'].upper()),
'Away': shared.get_team(pbp_json['gameData']['teams']['away']['name'].upper())... | 925c079a0a4a04de70154e78d6ccb25bd846071d | 9,891 |
def register(args):
"""Register a new user using email and password.
Return CONFLICT is a user with the same email already exists.
"""
if db.session.query(User).filter_by(email=args['email']).first():
return conflict("User already exists.")
new_user = User(args['email'], args['password'])
... | b7979090683b231f71c319590a120242932229fd | 9,892 |
def _scale_value_to_rpm(value, total):
"""Scale value to reads per million"""
return value * 1 / (total / 1e6) | c3a49c8df8cbb22bd055a2f8076065463041bb72 | 9,893 |
import itertools
def poly_vals_in_range(minimum, maximum, roots):
"""Return a list of all results of a given polynomial within a range
based on the roots of the polynomial itself.
These roots will be selected by a user from the GUI.
Arguments:
minimum -- the lowest value in the dataset
... | 439c56cd04a70a858340712e66ffbe6144c49e04 | 9,895 |
def width_angle(rectangle: Polygon):
"""Returns the length and angle(in degrees) of the longest side of a
rotated rectangle
"""
point_a, point_b, point_c = rectangle.exterior.coords[:3]
a = distance(point_a, point_b)
b = distance(point_b, point_c)
if a > b:
angle = line_angle(point_a... | 074cd38e90f83af15bd09113bafa58e035960fd5 | 9,896 |
def mean_absolute_error(y_true, y_pred, discretise = False):
"""
requires input arrays to be same np.dtype.
returns average, not sum of errors
discretising (for classification problems) makes little sense to me,
but may be necessary in some obscure scenarios
"""
if discretise:
y_p = tools.round_probabilities(y... | 879607b78856cdc6367dbf1f6e4c7cecad48df24 | 9,897 |
def population_fit_feature_cal(population,
fitFunction,
fitFunctionInput,
ite):
"""Parallel population fitness calculation function
Args:
population (list): Single population
fitFunction (function): Fit... | 671ddb5acd5d8dee8d8dba660efbb1e86509094c | 9,898 |
def intilise_database2():
"""
Initilse the database and make a table instance
Returns
pymongo object of the table
"""
myclient = pymongo.MongoClient("mongodb://localhost:27017/")
mydb=myclient['subreddit']
maintable2 = mydb["posts2"]
return maintable2 | d70497f837cddcaf0a7383d826a705a77e26dda5 | 9,899 |
def first(id_):
"""The first service of the station."""
return jsonify(
[
(n.removeprefix("_"), t)
for n, t in r.zrange(f"Station:_{id_}:first", 0, -1, withscores=True)
]
) | 5de7ef49c1deb0edea3f3d4ddcc30da8c4ae2d3a | 9,900 |
def sample(df, n, shape):
"""
randomly sample patch images from DataFrame
Parameters
----------
df : pd.DataFrame
DataFrame containing name of image files
n : int
number of patches to extract
shape : list
shape of patches to extract
Returns
-------
image... | a0f655ad71a7ef47c71ecc23f45365f721bc2085 | 9,901 |
def bitsizeof_varint32(value: int) -> int:
"""
Gets bit size of variable 32-bit signed integer value.
:param value: Value to use for bit size calculation.
:returns: Bit size of the value.
:raises PythonRuntimeException: Throws if given value is out of range for varint32 type.
"""
return _b... | 16fd942d23b6ec26a300119e56fbbad6f37a203d | 9,902 |
import requests
import json
def slack(channel, message, subject=''):
"""
Sends a notification to meerkat slack server. Channel is '#deploy' only if
in live deployment, otherwise sent privately to the developer via slackbot.
Args:
channel (str): Required. The channel or username to which the ... | 274111901fd3b7545c8e2128ce3e98716eca8406 | 9,903 |
def compute_similarity(img_one,img_two):
"""Performs image resizing just to compute the
cosine similarity faster
Input:
Two images
Output:
Cosine Similarity
"""
x = cv2.resize(img_one, dsize=(112, 112), interpolation=cv2.INTER_CUBIC)
y = cv2.resize(img_two, dsize=(112, 112), int... | 24d02db8c685480572fae2ab02f9648e3798fdf3 | 9,904 |
def get_results_from_firebase(firebase):
"""
The function to download all results from firebase
Parameters
----------
firebase : pyrebase firebase object
initialized firebase app with admin authentication
Returns
-------
results : dict
The results in a dictionary with t... | ca06c24367d778d4b601eab6fa31009fe6ecb372 | 9,905 |
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