content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
import requests
def username(UID: str) -> str:
"""
Get a users username from their user ID.
>>> username("zx7gd1yx")
'1'
>>> username("7j477kvj")
'AnInternetTroll'
>>> username("Sesame Street")
Traceback (most recent call last):
...
utils.UserError: User with uid 'Sesame Street' not found.
"""
R: dic... | c2d66af182a970783ef6e2236c1db3e5a3f80b50 | 11,076 |
import logging
def handle_exceptions(func):
"""Exception handler helper function."""
logging.basicConfig(level = logging.INFO)
def wrapper_func(*args, **kwargs):
try:
return func(*args, **kwargs)
except Exception as e:
logging.error(f'{func.__name__} raised an error... | 2d5c428e65cfb823d1afbf2d2c77f98b8722d685 | 11,077 |
def apply_hamming_window(image):
"""Cross correlate after applying hamming window to compensate side effects"""
window_h = np.hamming(image.shape[0])
window_v = np.hamming(image.shape[1])
image = np.multiply(image.T, window_h).T
return np.multiply(image, window_v) | f319506e9a51350664683ede7411e677bbf96ab3 | 11,078 |
from typing import Tuple
from functools import reduce
def calc_ewald_sum(dielectric_tensor: np.ndarray,
real_lattice_set: np.ndarray,
reciprocal_lattice_set: np.ndarray,
mod_ewald_param: float,
root_det_epsilon: float,
volu... | 5be08f833c8e44a4afeab48af0f5160278fbf88a | 11,079 |
import time
def proximal_descent(
x0, grad, prox, step_size, momentum='fista', restarting=None,
max_iter=100, early_stopping=True, eps=np.finfo(np.float64).eps,
obj=None, benchmark=False):
""" Proximal descent algorithm.
Parameters
----------
x0 : array, shape (n_l... | e6a05c2ef4295b67e3bc3ac2b1608b16d43bc09e | 11,080 |
from stable_baselines_custom.common.atari_wrappers import wrap_deepmind
def wrap_atari_dqn(env):
"""
wrap the environment in atari wrappers for DQN
:param env: (Gym Environment) the environment
:return: (Gym Environment) the wrapped environment
"""
return wrap_deepmind(env, frame_stack=True, ... | 6c47492fe412b5620f22db17a45aa42968ed9a62 | 11,082 |
def get_Theta_CR_i_d_t(pv_setup, Theta_A_d_t, I_s_i_d_t):
"""加重平均太陽電池モジュール温度 (6)
Args:
pv_setup(str): 太陽電池アレイ設置方式
Theta_A_d_t(ndarray): 日付dの時刻tにおける外気温度（℃）
I_s_i_d_t(ndarray): 日付dの時刻tにおける太陽電池アレイiの設置面の単位面積当たりの日射量（W/m2）
Returns:
ndarray: 日付dの時刻tにおける太陽電池アレイiの加重平均太陽電池モジュール温度
"""
... | 6c96d9c4692de19909feccf647fd39126358b29c | 11,083 |
from typing import Set
def or_equality(input_1: Variable, input_2: Variable, output: Variable) -> Set[Clause]:
"""
Encode an OR-Gate into a CNF.
:param input_1: variable representing the first input of the OR-Gate
:param input_2: variable representing the second input of the OR-Gate
:param output... | f101b1d7ae3d70e7849133562cd274275f8419a8 | 11,084 |
import math
def keyPosition_to_keyIndex(key_position: int, key: int) -> int:
"""
キーポジションからどのキーのノーツなのかを変換します
引数
----
key_position : int
-> キーポジション
key : int
-> 全体のキー数、4Kなら4と入力
戻り値
------
int
-> キーインデックス、指定したキーの0~キー-1の間の数
"""
return math.floor(key_position * key / 512) | e6edcc1711a283336da046e1f8f174cc7ff87760 | 11,085 |
from masonite.routes import Patch
def patch(url, controller):
"""Shortcut for Patch HTTP class.
Arguments:
url {string} -- The url you want to use for the route
controller {string|object} -- This can be a string controller or a normal object controller
Returns:
masonite.routes.Pa... | c267ca8c2e2c55369584a94cd07aaf26b0b7ae4b | 11,087 |
def get_user(message: discord.Message, username: str):
""" Get member by discord username or osu username. """
member = utils.find_member(guild=message.guild, name=username)
if not member:
for key, value in osu_tracking.items():
if value["new"]["username"].lower() == username.lower():
... | 323ac71e24e4da516263df3a4683ed5fd87138ce | 11,088 |
import colorsys
def resaturate_color(color, amount=0.5):
"""
Saturates the given color by setting saturation to the given amount.
Input can be matplotlib color string, hex string, or RGB tuple.
"""
if not isinstance(color, np.ndarray) and color in matplotlib.colors.cnames:
color = matplot... | 2bd1b9b4d9e1d11390efc79f56a89bf7555cbe71 | 11,089 |
def create_reach_segment(upstream_point, downstream_point, polyline, identifier="HA",
junctionID=0, isEnd=False):
"""Returns a polyline based on two bounding vertices found on the line. """
part = polyline.getPart (0)
total_length = polyline.length
lineArray = arcpy.Array ()
... | c378fb05c1eda5cde35d5caf60a9d732578ae6d8 | 11,090 |
def sample_recipe(user, **params):
""" Helper function for creating recipes """
""" for not writing every single time this fields """
defaults = {
'title': 'Sample recipe',
'time_minutes': 10,
'price': 5.00
}
"""
Override any field of the defaults dictionary.
Updati... | 11fe56c88cc0c641b1c04b279b2346615b2257c9 | 11,091 |
def _unary_geo(op, left, *args, **kwargs):
# type: (str, np.array[geoms]) -> np.array[geoms]
"""Unary operation that returns new geometries"""
# ensure 1D output, see note above
data = np.empty(len(left), dtype=object)
data[:] = [getattr(geom, op, None) for geom in left]
return data | d302bdb41c74f7b127df4ccd24dd6bc56c694a56 | 11,092 |
def map_func(h, configs, args):
"""Polygons command line in parallel.
"""
if args.verbose:
cmd = "python {} -i {}/threshold{}.tif -o {}/threshold{}.shp -v".format(
configs["path"]["polygons"],
configs["path"]["output"],
h,
configs["path"]["output"],
h
)
print cmd
else:
cmd = "python {} -i {}/... | 4ff4e961b2d0eb9a19b277a0b8e2ef165aa43819 | 11,093 |
def check_health(request: HttpRequest) -> bool:
"""Check app health."""
return True | 20d572edd68e1518e51cbdbe331c17798bc850fe | 11,095 |
def return_galo_tarsilo(message):
"""Middle function for returning "gaucho" vídeo.
Parameters
----------
message : telebot.types.Message
The message object.
Returns
-------
msg : str
User/Chat alert list addition/removal.
"""
return 'https://www.youtube.com/watch?v... | 58307b763d139dc38220b9a93af15644ccd32959 | 11,096 |
def preimage_func(f, x):
"""Pre-image a funcation at a set of input points.
Parameters
----------
f : typing.Callable
The function we would like to pre-image. The output type must be hashable.
x : typing.Iterable
Input points we would like to evaluate `f`. `x` must be of a type acce... | 6ca0496aff52cff1ce07e327f845df4735e3266a | 11,097 |
import warnings
def load_tree(tree,fmt=None):
"""
Load a tree into an ete3 tree data structure.
tree: some sort of tree. can be an ete3.Tree (returns self), a dendropy
Tree (converts to newick and drops root), a newick file or a newick
string.
fmt: format for reading tree from new... | efc727fee6f12b4a8bc0e8c2b2319be2a820df13 | 11,100 |
from typing import Dict
def load_extract(context, extract: Dict) -> str:
"""
Upload extract to Google Cloud Storage.
Return GCS file path of uploaded file.
"""
return context.resources.data_lake.upload_df(
folder_name="nwea_map",
file_name=extract["filename"],
df=extract["v... | c9d5fedf6f2adcb871abf4d9cead057b0627267a | 11,101 |
def _make_default_colormap():
"""Return the default colormap, with custom first colors."""
colormap = np.array(cc.glasbey_bw_minc_20_minl_30)
# Reorder first colors.
colormap[[0, 1, 2, 3, 4, 5]] = colormap[[3, 0, 4, 5, 2, 1]]
# Replace first two colors.
colormap[0] = [0.03137, 0.5725, 0.9882]
... | ca6275fc60efe198be5a89662d791f6c47e45b24 | 11,102 |
def poly_to_box(poly):
"""Convert a polygon into an array of tight bounding box."""
box = np.zeros(4, dtype=np.float32)
box[0] = min(poly[:, 0])
box[2] = max(poly[:, 0])
box[1] = min(poly[:, 1])
box[3] = max(poly[:, 1])
return box | 4fb8cea86494c34832f43dbf7f942a214dc2e010 | 11,103 |
import torch
def default_collate(batch):
"""Puts each data field into a tensor with outer dimension batch size"""
error_msg = "batch must contain tensors, numbers, dicts or lists; found {}"
elem_type = type(batch[0])
if isinstance(batch[0], torch.Tensor):
return torch.stack(batch, 0)
elif... | 576366ac5e57a84a015ffa3e5e80e8d4b62ac329 | 11,104 |
def updatestatus(requestdata, authinfo, acldata, supportchan, session):
"""Update the /Status page of a user."""
if requestdata[2] in acldata['wikis']:
wikiurl = str('https://' + acldata['wikis'][requestdata[2]]['url'] + '/w/api.php')
sulgroup = acldata['wikis'][requestdata[2]]['sulgroup']
e... | f305f1c4ceb6b4cfd949a1005a961b710e81740f | 11,105 |
def sortByTimeStamps(paths):
"""Sorts the given list of file paths by their time-stamp
:paths: The file paths to sort by time-stamp
:returns: A sorted list of file paths
"""
sortedPaths = []
timeStamps = []
# Extract the YYYYMMDD & HHMMSS timestamps from the file paths
for p in paths:... | 01d60e0f3d793ca17f04462911406d03a6c3ddf0 | 11,106 |
def get_xml_nk_bands(xml_tree):
"""
Function to specifically get kpoint (cartesian) coordinates and corresponding eigenvalues (in Hartree)
"""
k_points_car = []
k_eigenvalues = []
k_occupations = []
for ks_energies in xml_tree.iter(tag='ks_energies'):
k_points_car.append( get_x... | e510995ee468552d395c179aa8713f159b1ad0e1 | 11,107 |
def enumerate(server, directory_list, filenames):
"""
Enumerate directories and files on the web server.
"""
print('\n[*] Enumerating resources.')
to_search = [server]
directories = []
resources = []
print('[*] Recursively searching for directories.')
while len(to_search) != 0:
... | e9b2eb94b71b48dcc032448369a413cc4c1790ba | 11,108 |
def deep_equals(x, y):
"""Test two objects for equality in value.
Correct if x/y are one of the following valid types:
types compatible with != comparison
pd.Series, pd.DataFrame, np.ndarray
lists, tuples, or dicts of a valid type (recursive)
Important note:
this function w... | 27f5dc79e5c3b9e8a08a4bbd0db847995f0fa9ef | 11,109 |
import re
def _is_valid_img_uri(uri: str) -> bool:
"""
Returns true if a string is a valid uri that can be saved in the database.
"""
regex = "data:image/jpeg;base64*."
return not uri or re.match(regex, uri) | 0836bfa447b42fb7ed24fc897de8fb40c6e593b2 | 11,113 |
def update_config(a, b, mode="default"):
"""Update the configuration a with b."""
if not b:
return a
from_version = get_config_version(a)
to_version = get_config_version(b)
if from_version == 1 and to_version == 2:
# When updating the configuration to a newer version, we clear all u... | 464adc3a4daeedb246d911caab5477ff4d55841e | 11,114 |
def create_app(config_name='DevelopmentConfig'):
"""Create the Flask application from a given config object type.
Args:
config_name (string): Config instance name.
Returns:
Flask Application with config instance scope.
"""
app = Flask(__name__)
{{cookiecutter.package_name | up... | 6022c976ffa2bf6afa692bb96c5c53bfed4a7d32 | 11,116 |
def label_accuracy_score(hist):
"""Returns accuracy score evaluation result.
- overall accuracy
- mean accuracy
- mean IU
- fwavacc
"""
with np.errstate(divide='ignore', invalid='ignore'):
iu = np.diag(hist) / (
hist.sum(axis=1) + hist.sum(axis=0) - np.diag(hist)
... | 5e129604d476f17e0cfd7a30f785775266763432 | 11,117 |
def get_page_title(title: str):
""" Возвращает заголовок, отображаемый на вкладках """
return f'{title} | NeuraHS' | 3df2de16325cf0c4c849e7d09111ea87e36c309a | 11,118 |
def make_pointer_union_printer(val):
"""Factory for an llvm::PointerUnion printer."""
pointer, value = get_pointer_int_pair(val['Val'])
if not pointer or not value:
return None
pointer_type = val.type.template_argument(int(value))
string = 'llvm::PointerUnion containing %s' % pointer_type
return make_pr... | 40d12a45a05fb49dd32b1a450b7dff23ab0ece7c | 11,119 |
def get_paramvals_percentile(table, percentile, chi2_arr):
"""
Isolates 68th percentile lowest chi^2 values and takes random 1000 sample
Parameters
----------
table: pandas dataframe
Mcmc chain dataframe
pctl: int
Percentile to use
chi2_arr: array
Array of chi^2 va... | 1d83c54b61446aecf0a7fcbf4d8ae49e96a25b3f | 11,120 |
def get_text_from_span(s, (start, end)):
"""
Return the text from a given indices of text (list of words)
"""
return " ".join(s[start: end]) | df58cf8056039b183dc421c94baa22176fe23e84 | 11,121 |
import time
import struct
def __timestamp():
"""Generate timestamp data for pyc header."""
today = time.time()
ret = struct.pack(b'=L', int(today))
return ret | 477c8473026c706785b4091bbbf647b86eaa560f | 11,122 |
def reverse_index(alist, value):
"""Finding the index of last occurence of an element"""
return len(alist) - alist[-1::-1].index(value) -1 | 21fc4e17a91000085123ea4be42c72cb27a3482c | 11,123 |
def generate_twist(loops, non_interacting=False):
"""Generate initial configuration to start braid moves where the active end has crossed outside the loops and they have an initial twist.
Format: ' │ │ │┃'
'┏━━━━━┛'
'┃│ │ │ '
'┗━┓│ │ '
' │┃│ │ '
'┏│┛│... | fdeb58b49d2e559c4d0ccfc24e439057683f7e96 | 11,124 |
def IsShuttingDown(_shutting_down=_shutting_down):
"""
Whether the interpreter is currently shutting down.
For use in finalizers, __del__ methods, and similar; it is advised
to early bind this function rather than look it up when calling it,
since at shutdown module globals may be cleared.
"""
... | 6cbc5d3388ee8eb0cabbb740fc5e0b8f2ac4714a | 11,126 |
def ellipse_center(a):
"""
Parameters
----------
a : fitted_ellipse_obj
"""
b,c,d,f,g,a = a[1]/2, a[2], a[3]/2, a[4]/2, a[5], a[0]
num = b*b-a*c
x0=(c*d-b*f)/num
y0=(a*f-b*d)/num
return np.array([x0,y0]) | 66487a641c35d2c1c1c8a8c7c0bb129eda55f4c4 | 11,127 |
def _to_average_temp(name, temperature_map):
"""
Converts the list of temperatures associated to a label to a list of average temperatures.
If the sensor does not exist, it will return _default_temperature. If the high or critical temperature thresholds
are invalid, it will use the values from _default_... | 88c3b5d0bdd64f782a26a7dc11d44dc39e6efc82 | 11,128 |
def segments_decode(aseg):
"""
Decode segments.
Parameters
----------
aseg : numpy.ndarra of uint32
Returns
-------
segments : list of list of int
"""
max = 2 ** 32 - 1
segments = []
l = []
for x in list(aseg):
if x == max:
segments.append(l)
... | d5edf85ae489b62c8820c3616a75a9ca305f06ec | 11,129 |
def cvGetReal3D(*args):
"""cvGetReal3D(CvArr arr, int idx0, int idx1, int idx2) -> double"""
return _cv.cvGetReal3D(*args) | 4130a4f9571bdea1c9e54b5fcf7d1d0f5c3ce083 | 11,130 |
def get_wf_double_FF_opt(
molecule,
pcm_dielectric,
linked=False,
qchem_input_params=None,
name="douple_FF_opt",
db_file=">>db_file<<",
**kwargs,
):
"""
Firework 1 : write QChem input for an FF optimization,
run FF_opt QCJob,
parse directory and inse... | d21b04035d41beb3a24e9cbba45c420bd8d9b727 | 11,131 |
def get_element_action_names(element):
"""Get a list of all the actions the specified accessibility object can perform.
Args:
element: The AXUIElementRef representing the accessibility object
Returns: an array of actions the accessibility object can perform
(empty if the accessibility objec... | f906f9565eb72b060d9e4c69ab052dc6001f192a | 11,133 |
import re
def ParseFile(fname):
"""Parse a micrcode.dat file and return the component parts
Args:
fname: Filename to parse
Returns:
3-Tuple:
date: String containing date from the file's header
license_text: List of text lines for the license file
... | 2774157dd256f11268a7ea4ee3d941e7aea1ca4f | 11,134 |
import numpy
def cal_q_vel(guidance_v):
"""
暂时使用默认参考速度进行优化，等调试成熟再使用粗糙速度来优化
:return:
"""
q_vel = numpy.zeros((1, n_t + 1))
if flag_obs == 0:
q_vel[0][0] = -ref_v
q_vel[0][n_t] = ref_v
if flag_obs == 1:
for i in range(n_t + 1):
if i < 1:
q_vel[0][i] = -guidance_v[0][i]
elif i >= n_t:
q_vel... | b7551e7b911c5e0fd27a1e90f00c1e1a3a60f53f | 11,135 |
def tf_decode(
ref_pts,
ref_theta,
bin_x,
res_x_norm,
bin_z,
res_z_norm,
bin_theta,
res_theta_norm,
res_y,
res_size_norm,
mean_sizes,
Ss,
DELTAs,
R,
DELTA_THETA,
):
"""Turns bin-based box3d format into an box_3d
Input:
ref_pts: (B,p,3) [x,y,z]... | 720252aaad2b8d380d30d871e97d47b2c9309a68 | 11,136 |
def _histogram_discretize(target, num_bins=gin.REQUIRED):
"""Discretization based on histograms."""
discretized = np.zeros_like(target)
for i in range(target.shape[0]):
discretized[i, :] = np.digitize(target[i, :], np.histogram(
target[i, :], num_bins)[1][:-1])
return discretized | 14108b9208dca586f7fd39dac3a5a17f1e5a2928 | 11,137 |
def apply_acl(instance, content):
"""Apply ACLs."""
any_acl_applied = False
if not isinstance(instance, roleable.Roleable):
return any_acl_applied
instance_acl_dict = {(l.ac_role_id, p.id): l
for p, l in instance.access_control_list}
person_ids = set()
for role_id, data in content... | 134f4ae98018626712c2f918ce5b501129169a30 | 11,138 |
import json
def serialize(results):
"""Serialize a ``QueryDict`` into json."""
serialized = {}
for result in results:
serialized.update(result.to_dict())
return json.dumps(serialized, indent=4) | 1ce996e1172344ba72ccbb9487b51b0efc30fa5c | 11,139 |
def allowed_once (cave, visited):
"""Only allows small caves to be visited once. Returns False if `cave`
is small and already in `visited`.
"""
return big(cave) or (small(cave) and cave not in visited) | f3619c1d230de50fab539103084457413f30a74e | 11,140 |
from datetime import datetime
import json
def _serialize_examstruct(exam):
""" Serialize the exam structure for, eg. cache.
The dates, especially, need work before JSON
"""
assert isinstance(exam, dict)
date_fmt = '%Y-%m-%d %H:%M:%S'
assert isinstance(exam['start'], datetime.datetime)
... | 3c553986bfd6b565bbdc34218ca01d984d3aab69 | 11,141 |
def _analysis_test_impl(ctx):
"""Implementation function for analysis_test. """
_ignore = [ctx]
return [AnalysisTestResultInfo(
success = True,
message = "All targets succeeded analysis",
)] | 5f006c817581b771bf3d1f5b3cc7861cd98e8958 | 11,142 |
import warnings
def CD_Joint(CD_J_AS = None,
Ypred = None,
beta = None,
zeta = None,
active_set = None,
lam = None,
P = None,
P_interaction = None,
Y = None,
B = None,
B_interaction = None... | 780bbd6a44dcfacf55a22390a6f7ee8c98e2d2f0 | 11,144 |
from typing import Tuple
def testAllCallbacksSmokeTest(
args_count: int, type_checker: TypeCheckerFixture
) -> None:
"""
Parametrized test to do basic checking over all Callbacks (except Callback0).
We generate functions with too much arguments, too few, and correct number, and check
that the err... | 8459b040f2c7dc145a6a41ddebd4edb24873d704 | 11,145 |
def transform_unnamed_cols_range(df: pd.DataFrame, columns_range: range,
new_column_name_prefix: str, inplace=False) -> object:
"""
This function transforms a range of columns based assuming the presence of following schema in dataframe:
|base_column_name|Unnamed_n|Unnamed_... | c54394531cec3aeef6e1717d3db0be17852ade9b | 11,146 |
def shingles(tokens, n):
"""
Return n-sized shingles from a list of tokens.
>>> assert list(shingles([1, 2, 3, 4], 2)) == [(1, 2), (2, 3), (3, 4)]
"""
return zip(*[tokens[i:-n + i + 1 or None] for i in range(n)]) | 93e8f3828bf4b49397e09cb46565199dcd7a68be | 11,147 |
import json
def load_json(filename):
"""Load JSON file as dict."""
with open(join(dirname(__file__), filename), "rb") as fp:
return json.load(fp) | 3ce3a92b4a11a005709ea3fab003d73133627183 | 11,148 |
def getLayerList(layer_list, criterionFn):
"""Returns a list of all of the layers in the stack that match the given criterion function, including substacks."""
matching_layer = []
for layer in layer_list:
if criterionFn(layer):
matching_layer.append(layer)
if hasattr(layer, 'laye... | 5e09065b350f1305a2fcd45379751fac6552031e | 11,149 |
def getBiLinearMap(edge0, edge1, edge2, edge3):
"""Get the UV coordinates on a square defined from spacing on the edges"""
if len(edge0) != len(edge1):
raise ValueError("getBiLinearMap: The len of edge0 and edge1 are not the same")
if len(edge2) != len(edge3):
raise ValueError("getBiLinearM... | a75626a846c18418db8dbb98afdb25ab0c903969 | 11,150 |
def _parse_orientation(response: HtmlResponse):
"""Parse Orientation.
Returns None if not available or is unknown.
"""
value = response.css('th:contains("Ausrichtung") + td ::text').get()
if value:
if value == "unbekannt" or value == "verschieden":
return None
fk_value =... | 338fb6dbc8e3f1c0e116f766f86a01b110c922f2 | 11,152 |
def binaryread(file, vartype, shape=(1,), charlen=16):
"""
Uses numpy to read from binary file. This was found to be faster than the
struct approach and is used as the default.
"""
# read a string variable of length charlen
if vartype == str:
result = file.read(charlen * 1)
el... | 221e0a71271eea4a31423a94244c12784af7fef2 | 11,153 |
def subsample_data(neuron_data, sample_size = 10000):
"""
Acquires a subsample of the Neuron dataset.
This function samples a set of neurons without replacement.
Params
-----------
Returns
-----------
rand_ix (array-like):
Array containing the chosen indices
sample_neu... | 801d0d618576e14b67b33bf9071c135409362bfe | 11,154 |
def connect_db():
"""Connects to the specific database."""
mongo = MongoClient(DATABASE_URL,replicaset=MONGO_REPLICASET)
#if COLLECTION_NAME in mongo[DATABASE_NAME].collection_names():
collection = mongo[DATABASE_NAME][COLLECTION_NAME]
#else:
# mongo[DATABASE_NAME].create_collection(COLLECTIO... | 0e037a2bfb8687d4ff2b477a59c3f5ba99335c44 | 11,156 |
def transient(func):
"""
decorator to make a function execution transient.
meaning that before starting the execution of the function, a new session with a
new transaction will be started, and after the completion of that function, the
new transaction will be rolled back without the consideration o... | 454c808d15bbdddd800db70ec56d228f432921f8 | 11,157 |
def make_mapping(environ, start_response):
"""
Establishing a mapping, storing the provided URI
as a field on a tiddler in the PRIVATEER bag.
Accepted data is either a json dictory with a uri
key or a POST CGI form with a uri query paramter.
Respond with a location header containing the uri
... | e90a72bce2132d703504230d41f3e807ea77d7a2 | 11,158 |
def create_space_magnitude_region(region, magnitudes):
"""Simple wrapper to create space-magnitude region """
if not (isinstance(region, CartesianGrid2D) or isinstance(region, QuadtreeGrid2D)) :
raise TypeError("region must be CartesianGrid2D")
# bind to region class
if magnitudes is None:
... | 64f4606c74ad38bd34ade7673074124e3d3faa48 | 11,159 |
def get_productivity(coin_endowments):
"""Returns the total coin inside the simulated economy.
Args:
coin_endowments (ndarray): The array of coin endowments for each of the
agents in the simulated economy.
Returns:
Total coin endowment (float).
"""
return np.sum(coin_en... | e6dfe2485bce54599bc919d9a2b2235b90166702 | 11,161 |
def prefix_attrs(source, keys, prefix):
"""Rename some of the keys of a dictionary by adding a prefix.
Parameters
----------
source : dict
Source dictionary, for example data attributes.
keys : sequence
Names of keys to prefix.
prefix : str
Prefix to prepend to keys.
Retu... | e1c8102fddf51cd7af620f9158419bff4b3f0c57 | 11,162 |
def add(coefficient_1, value_1, coefficient_2, value_2):
"""Provides an addition algebra for various types, including scalars and
histogram objects.
Incoming values are not modified.
Args:
coefficient_1: The first coefficient, a scalar
value_1: The first value, a histogram or scalar
... | 70bccba3d504325a66090104ffc4d464649f2b32 | 11,164 |
import time
def kotlin_object_type_summary(lldb_val, internal_dict = {}):
"""Hook that is run by lldb to display a Kotlin object."""
start = time.monotonic()
log(lambda: f"kotlin_object_type_summary({lldb_val.unsigned:#x}: {lldb_val.GetTypeName()})")
fallback = lldb_val.GetValue()
if lldb_val.GetT... | 79883644017bfc35c77a17a3e5da4b5913864ef2 | 11,165 |
def _grep_first_pair_of_parentheses(s):
"""
Return the first matching pair of parentheses in a code string.
INPUT:
A string
OUTPUT:
A substring of the input, namely the part between the first
(outmost) matching pair of parentheses (including the
parentheses).
Parentheses between... | 7441c1b8734c211b9b320e195155719452cf7407 | 11,167 |
import requests
def login():
"""
"""
url = "http://127.0.0.1:5001/rest/login"
data = {"username": "kivanc", "password": "1234"}
r = requests.post(url, json=data)
output = r.json()
return output["access_token"] | a2b4bd68110fd053c48988f7cc490c88f148bc1f | 11,168 |
import tqdm
import torch
def evaluation_per_relation(triples: dict, model: EvaluationModel, batch_size: int = 4):
"""
:param triples: It should be a dict in form (Relation id):[(s_1,p_1,o_1)...(s_n,p_n,o_n)]
"""
# Evaluate per relation and store scores/evaluation measures
score_per_rel = dict()
... | 73262587c181fa285b97479110f49ea4dd178946 | 11,170 |
from datetime import datetime
def check_upload():
"""
判断今天的代码是否上传
:return:
"""
ctime = datetime.date.today() # 当前日期
data = db_helper.fetchone('select id from record where ctime = %s and user_id = %s',
(ctime, session['user_info']['id']))
return data | 2dfceb7cc91668b3a41920b931e946188332c6e4 | 11,171 |
def get_package_object():
"""Gets a sample package for the submission in Dev Center."""
package = {
# The file name is relative to the root of the uploaded ZIP file.
"fileName" : "bin/super_dev_ctr_api_sim.appxupload",
# If you haven't begun to upload the file yet, set this value to "Pen... | d65329372f356325c08ecb814f48ad856b9509bc | 11,172 |
def load_config(config_file="config.yaml"):
"""Load config file to initialize fragment factories.
A config file is a Python file, loaded as a module.
Example config file:
# config.yaml
name: My LDF server
maintainer: chuck Norris <me@gmail.com>
datasets:
-
name: DBpedia-2016-04... | b5ee03a3b30f4374da05469cd3a289566eb26540 | 11,176 |
def find_start_end(grid):
"""
Finds the source and destination block indexes from the list.
Args
grid: <list> the world grid blocks represented as a list of blocks (see Tutorial.pdf)
Returns
start: <int> source block index in the list
end: <int> destination block index... | d617af3d6ebf9a2c9f42250214e3fe52d2017170 | 11,178 |
from typing import Optional
import inspect
def find_method_signature(klass, method: str) -> Optional[inspect.Signature]:
"""Look through a class' ancestors and fill out the methods signature.
A class method has a signature. But it might now always be complete. When a parameter is not
annotated, we might ... | 17d3e7d554720766ca62cb4ad7a66c42f947fc1c | 11,179 |
def format_long_calc_line(line: LongCalcLine) -> LongCalcLine:
"""
Return line with .latex attribute formatted with line breaks suitable
for positioning within the "\aligned" latex environment.
"""
latex_code = line.latex
long_latex = latex_code.replace("=", "\\\\&=") # Change all...
long_l... | a6f19b7f3a1876f3b6b0c88baddfd02b16901b41 | 11,180 |
from riddle import emr, feature_importance
from riddle.models import MLP
import time
import pickle
def run(data_fn, prop_missing=0., max_num_feature=-1,
feature_selection='random', k=10, data_dir='_data', out_dir='_out'):
"""Run RIDDLE classification interpretation pipeline.
Arguments:
data_f... | ac28216cbea67b0bdc6d2b3f617c24c975623415 | 11,181 |
def h_lgn(t, mu, sigma, normalize=False):
""" Log-normal density
Args:
t: input argument (array)
mu: mean parameter (-infty,infty)
sigma: std parameter > 0
normalize: trapz integral normalization over t
Returns:
function values
"""
y = np.ze... | 63bd6ea48f5ea28c5631b3ce259066d3624d038b | 11,182 |
from .background import set_background_alignment
import copy
def align_background(data, align='auto'):
"""
Determine the Qz value associated with the background measurement.
The *align* flag determines which background points are matched
to the sample points. It can be 'sample' if background is
... | a8b33aa5440cf6c212d964d58720bef771fe2083 | 11,183 |
def get_bounds_from_config(b, state, base_units):
"""
Method to take a 3- or 4-tuple state definition config argument and return
tuples for the bounds and default value of the Var object.
Expects the form (lower, default, upper, units) where units is optional
Args:
b - StateBlock on which ... | c9e757a2032178e656f7bbc27519bd1650eb9a79 | 11,184 |
def read_train_data():
"""
train_data.shape = (73257, 32, 32, 3)
train_label.shape = (73257,)
extra_data.shape = (531131, 32, 32, 3)
extra_label.shape = (531131,)
data.shape = (604388, 32, 32, 3)
labels.shape = (604388,)
"""
train_data, train_label = read_images(full_data_dir+'train... | d6e5c06ceb3a95e20e8ae301d83e1f480fc48591 | 11,185 |
def laguerreFunction(n, alpha, t, normalized=True):
"""Evaluate Laguerre function using scipy.special"""
if normalized:
Z = np.exp( .5*sps.gammaln(n+1) - .5*sps.gammaln(n+alpha+1) )
else:
Z = 1
return Z * np.sqrt(mu(alpha,t)) * sps.eval_genlaguerre(n, alpha, t) | 6c48f3ddaed9db7d748ad8fc972a132795ad3916 | 11,186 |
def end(s):
"""Select the mobile or weight hanging at the end of a side."""
assert is_side(s), "must call end on a side"
return branches(s)[0] | 2bcbc61e989287d714e9401660e58bd2f54c6fe6 | 11,187 |
def get_ca_pos_from_atoms(df, atoms):
"""Look up alpha carbon positions of provided atoms."""
ca = df[df['atom_name'] == 'CA'].reset_index()
nb = ca.reindex(atoms)
nb = nb.reset_index().set_index('index')
return nb | c069db751d94f6626be5d56e7b286ef3c873c04e | 11,188 |
def LoadComponent(self,filename): # real signature unknown; restored from __doc__
"""
LoadComponent(self: object,filename: str) -> object
LoadComponent(self: object,stream: Stream) -> object
LoadComponent(self: object,xmlReader: XmlReader) -> object
LoadComponent(self: object,filename: TextReader) -> object
L... | 17b893a6e91f4ef62b8ba18646d9dc2005c52ccd | 11,190 |
def split_bits(word : int, amounts : list):
"""
takes in a word and a list of bit amounts and returns
the bits in the word split up. See the doctests for concrete examples
>>> [bin(x) for x in split_bits(0b1001111010000001, [16])]
['0b1001111010000001']
>>> [bin(x) for x in split_bits(... | 556a389bb673af12a8b11d8381914bf56f7e0599 | 11,191 |
def global_tracer(ot_tracer):
"""A function similar to one OpenTracing users would write to initialize
their OpenTracing tracer.
"""
set_global_tracer(ot_tracer)
return ot_tracer | 87207d92179a0b23f20806e3e93ec7e78b1b31f1 | 11,192 |
import requests
def getListProjectsInGroup(config, grp):
"""
Get list of issue in group
"""
print("Retrieve project of group: %s " % grp.name)
data = None
__prjLst = gitlabProjectList(grp)
if (DUMMY_DATA):
testFile = getFullFilePath(ISSUES_GRP_TEST_FILE)
with open (testFile... | 1c926e8b855cba502229ab1c31c9706c20882a1c | 11,193 |
def group_naptan_datatypes(gdf, naptan_column='LocalityName'):
"""[summary] groups together naptan datasets into subsets that are grouped
by the given naptan column.
Args:
gdf ([type]): [description]
naptan_column (str, optional): [description]. Defaults to 'LocalityName'.
Returns:
... | d4cca1180f1b3d6622c7c2fd5df1cdd1b369c5b3 | 11,194 |
def get_facts_by_name_and_value(api_url=None, fact_name=None, fact_value=None, verify=False, cert=list()):
"""
Returns facts by name and value
:param api_url: Base PuppetDB API url
:param fact_name: Name of fact
:param fact_value: Value of fact
"""
return utils._make_api_request(api_url, '... | bdce7473bff944609ffdb191948b008ca4a1422a | 11,195 |
def produce_phase(pipeline_run):
"""Produce result with Produce phase data."""
scores = pipeline_run['run']['results']['scores']
if len(scores) > 1:
raise ValueError('This run has more than one score!')
scores = scores[0]
return {
'metric': scores['metric']['metric'],
'con... | 7ed003281eac240a407dac1d03a5e3f5a6e5b2cd | 11,196 |
import json
from unittest.mock import patch
async def init_integration(hass: HomeAssistant, use_nickname=True) -> MockConfigEntry:
"""Set up the Mazda Connected Services integration in Home Assistant."""
get_vehicles_fixture = json.loads(load_fixture("mazda/get_vehicles.json"))
if not use_nickname:
... | 96756b011f66786c0c8a8704446546c0751de13f | 11,197 |
def get_app_domain():
"""
Returns the full URL to the domain. The output from this function gets
generally appended with a path string.
"""
url = settings.INCOMEPROPERTYEVALUATOR_APP_HTTP_PROTOCOL
url += settings.INCOMEPROPERTYEVALUATOR_APP_HTTP_DOMAIN
return url | 0a9c58a179c281072104fb5b7859b2d0ef8426ae | 11,198 |
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