content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
import tqdm
def get_all_mask_volumes():
"""
Purpose:
Returns all masks for dataset in a single numpy array of 32 bit floats.
Shape will be 259x240x240x155x1
"""
all_patient_paths = get_each_hgg_folder()
# preallocate empty np array to hold all the masks
# dim 0 ... | 661e64bdd550f98ae4861384da558981bb2e887e | 3,614,100 |
def prepare_training_data(sessions):
"""
Convert extracted session into training data
:param sessions: list of sessions
:return:
"""
purchase_sessions = []
abandon_sessions = []
for s in sessions:
# check that purchase action occurs after add action
if Actions.purchase... | 41ae799dcc815a1da5b89d6718bad7c0f84b375c | 3,614,101 |
import torch
def nx_to_graph_data_obj_simple(G, partial_charge=False):
"""
Converts nx graph to pytorch geometric Data object. Assume node indices
are numbered from 0 to num_nodes - 1. NB: Uses simplified atom and bond
features, and represent as indices. NB: possible issues with
recapitulating rel... | e080aec34468e4948ca38dd162d864e8dc5dd4ba | 3,614,102 |
def after_replace(func, target=None):
"""Request `func` be invoked as `func(self, old)` when `model` is about to
replace an older version of itself. Alternatively when applied to a
collection, request `func(key, old, new)` be invoked.
::
@acid.events.after_replace
def after_replace(sel... | a1c84c1c6a9cc04bd46c04b68410f33d5a26dd13 | 3,614,103 |
import os
def add_prefix_to_fname(original_fname, prefix):
"""Add a prefix to a given filename.
Examples:
>>> add_prefix_to_fname("data.tif", "London")
"London_data.tif"
"""
file_dir = os.path.dirname(original_fname)
file_basename = os.path.basename(original_fname)
new_basenam... | 307385941159b38925cd935f381d5b337d345eeb | 3,614,104 |
def construct_sequence(seq_dict):
"""Construct RnaSequence from dict of {pos:residue}.
seq_dict -- dictionary of {position: residue}
Checks whether the first residue is 0. Checks whether all residues
between min and max index are present. No checking on validity of
residue symbols.
"""
... | cb150f3400807dd22ca1044a68f4a62faa279c1c | 3,614,105 |
def _cauchy_ ( self , mu , gamma ) :
"""Generate Cauchy random numbers
- rely on the distribution of the ratio for two Gaussian variables
- see https://en.wikipedia.org/wiki/Cauchy_distribution
"""
g1 = self.gauss ( 0.0 , 1.0 )
while abs ( g1 ) < _fmin : g1 = self.gauss ( 0.0 , 1.0 )
g2 = ... | 724afa6a7bf733227ae1fa03614785ba6f622b8c | 3,614,106 |
def get_group_cpu_name(ifamily, category, device):
"""
Abstract layer to group i3, i5, i7 families.
:param ifamily: which series of cpu we want to group
:param category: category to make sure the input is processor
:param device: device to check
:return: grouped device name
"""
ifamily_... | 46b3bf00540e9147f6e4bab3a1431bd8497009a6 | 3,614,107 |
def median(values):
"""Return median value for the list of values.
@param values: list of values for processing.
@return: median value.
"""
values.sort()
n = int(len(values) / 2)
return values[n] | c40b9e0b2cdd2b00ae6692aed2cfe9787bc8f9df | 3,614,108 |
def remove_default_create_options(options):
""" Return only non default create options """
_options = options.copy()
for opt in IPSET_DEFAULT_CREATE_OPTIONS:
if opt in _options and \
IPSET_DEFAULT_CREATE_OPTIONS[opt] == _options[opt]:
del _options[opt]
return _options | cbfdbbfab149cea698e912db0d3271ddcb97a20e | 3,614,109 |
import numpy
def _grid_3d(dx, dy, dz, order):
"""Generate 3D structured grid."""
# Internal functions
def meshgrid(x, y, z, indexing="ij", order=order):
X, Y, Z = numpy.meshgrid(x, y, z, indexing=indexing)
return X.ravel(order), Y.ravel(order), Z.ravel(order)
def mesh_vertices(i, j, k... | 4204f54c0629fa17d4f8ffff997cfce735e4307c | 3,614,110 |
def title_keywords(title):
"""Given a title, returns every author assigned keyword"""
q = """ SELECT GROUP_CONCAT(keyword)
FROM OriginalKeywords
WHERE ArticleID='{t}'""".format(t=title)
curr.execute(q)
return curr.fetchall()[0][0].split(',') | 2560ca23e91f3347c6bbb77c285b5f9a6fac7a75 | 3,614,111 |
import torch
def collate_fn(batch, transforms):
"""Collate function to be passed to the PyTorch dataloader.
Parameters
----------
batch : list
Uncollated batch of size `batch_size`.
device : str or torch.device
Current working device.
transforms : callable
Transformati... | 89daebd2f58d9a7b83c7bd7c14cdde2ed16d8b3d | 3,614,112 |
def persistence_function_from_model(model, G_interlayer, layer_vec=None, N=None, T=None, Nt=None):
"""
Returns a function to calculate persistence according to a given multilayer model
:param model: network layer topology (temporal, multilevel, multiplex)
:param G_interlayer: input graph containing all... | 9e3998ac4beb0ed653f6482a550fbde5e6c75eeb | 3,614,113 |
def sanitizer(name):
"""
Sanitizes a string supposed to be an entity name. That is,
invalid characters like slashes are substituted with underscores.
:param name: A string representing the name.
:returns: The sanitized name.
:rtype: str
"""
return name.replace("/", "_") | f59aa75a40067068c711a4ca01b643c69d43cd0c | 3,614,114 |
def fget_wcs(fitsfile_path):
"""Get the World coordinate system (wcs) from the fits header for plotting.
Parameters
==========
fitsfile_path: str
The input fits path
Return
======
wcs: `astropy.wcs.wcs.WCS`
Image coordinates in WCS format
"""
hdu = fits.getheade... | e85e903a0dc3ff624fa2e1d053f7225932601c8d | 3,614,115 |
def is_repository_setup():
"""Indicates if base repository is setup or not.
"""
return repository_cache.get_value() is not None | 0ab19dba941fe5af6359a3ed6b725a751dca3b41 | 3,614,116 |
def ISURL(value):
"""
Checks whether a value is a valid URL. It does not need to be fully qualified, or to include
"http://" and "www". It does not follow a standard, but attempts to work similarly to ISURL in
Google Sheets, and to return True for text that is likely a URL.
Valid protocols include ftp, http,... | e1362d9cfe97b35e935d072da1aa1791acd24371 | 3,614,117 |
def transaction_class(cls):
"""
Return the associated transaction class for given versioned SQLAlchemy
declarative class or version class.
::
from sqlalchemy_continuum import transaction_class
transaction_class(Article) # Transaction class
:param cls: SQLAlchemy versioned decla... | 054bf2e31b7c4132928192c21317ad898ed13dde | 3,614,118 |
def get_comp_choice():
"""
This function randomly generates a number between 1 up to and including
the max number of options. If base, it should be 3. If expanded, it
will depend on the number of options and logic you have created.
Returns the integer "chosen" by the computer/randomizer.
"""
... | 941df6616d82d663d90c3484a6d3aa00e25269c3 | 3,614,119 |
def _GenerateRootGradle(jinja_processor):
"""Returns the data for the root project's build.gradle."""
variables = {'template_type': 'root'}
return jinja_processor.Render(_JINJA_TEMPLATE_PATH, variables) | cfb28ff7fe2dffb1e451bce9e94b51ef17286209 | 3,614,120 |
def measure_display_label(src_type):
"""update label upon modification of Radio Items"""
source_label, measure_label = get_source_labels(src_type)
source_unit, measure_unit = get_source_units(src_type)
return 'Measured %s (%s)' % (measure_label, measure_unit) | 70e7ffc3dddc7b92cce79d66985b283d088759f3 | 3,614,121 |
def only_choice(values):
"""Apply the only choice strategy to a Sudoku puzzle
The only choice strategy says that if only one box in a unit allows a certain
digit, then that box must be assigned that digit.
Parameters
----------
values(dict)
a dictionary of the form {'box_name': '123456... | c8760594858a48aaa97e62ffbbb2f290bcff4e1f | 3,614,122 |
def get_xml_storage_model():
"""
Return the configured xml storage model class using apps.get_model()
"""
app, model = acs_settings.XML_STORAGE_MODEL.split(".")
return apps.get_model(
app_label=app,
model_name=model
) | 03285f7c8ad7f781c4a82ac22d86cbbe0291c96b | 3,614,123 |
def _get_deployments_digest_by_uid(uid):
""" Get list of deployments for a reference designator; return digests.
(See also event_tools.py, get_deployment_events. Supports asset management Deployment tab.)
"""
results = []
try:
# Get vocabulary dictionary once.
vocab_dict = get_vocab(... | ab3b689e9b6d47b0bb10a06cfc105f03493a15f4 | 3,614,124 |
def layout_arc_with_drc_exclude(
cell, layer, drc_layer, center, r, w, theta_start, theta_end, ex=None, **kwargs
):
""" Layout arc with drc exclude squares on sharp corners"""
dpoly = layout_arc(cell, layer, center, r, w, theta_start, theta_end, ex, **kwargs)
dpoly.layout_drc_exclude(cell, drc_layer, ex... | 38bfe0f29f0a9e2a4ea3b7ad0ca43fdb5ee6ce5e | 3,614,125 |
def create_fake_user():
"""
Generate new user and saves to database
"""
user = User.objects.create(username=faker.first_name_male())
return user | 71e141e6b2f34f4cc1453dffee113117125ce782 | 3,614,126 |
def control_brightness(how, level):
"""Control brightness level."""
_change_brightness(how, level)
_send_notification()
return 0 | 624e69d94c4d763699aff93d46482ecaa5c664df | 3,614,127 |
def has_negative_control(cmd):
"""Return whether a command has negatively controlled qubits."""
return get_control_count(cmd) > 0 and '0' in cmd.control_state | 94c5ab2773f946dc6c598e64c91ea7d90ec83b08 | 3,614,128 |
def qg8_graph_load(filename: str):
""""
Load a QG8 graph from file chunk by chunk
"""
f = qg8_file_open(filename, QG8_MODE_READ)
if f is None:
return None
graph = qg8_graph([]) # create empty graph object
i = qg8_file_iterator(f)
while qg8_file_has_next(i): # EOF check
... | 6c6b2ab78131fb9454c782aade283f59e223400a | 3,614,129 |
def all_reduce(tensor, op=dist.ReduceOp.SUM, group=dist.group.WORLD):
"""
Reduces the tensor data across all machines in such a way that all get
the final result.
After the call the returned tensor is going to be bitwise
identical in all processes.
Arguments:
tensor (Tensor): Input of ... | ecdd395272ff314a77b8e765d0f825cf7329fad2 | 3,614,130 |
def _get_stock_ledger_entries(filters):
"""
Get data from Stock Ledger Entries with the following fields:
(1) date, (2) item_code, (3) actual_qty, (4) qty_after_transaction,
(5) project, (6) stock_uom, (7) item_name
:param filters:
:return: Stock Ledger Entries
"""
item_code = filters.ge... | 6ed2ce915876b1232c695619c4823db789be0a61 | 3,614,131 |
def parse(tokens):
"""Parses the infix permission ``tokens`` into a postfix instruction list.
:param tokens: The token list produced by :func:`~pwh_permissions.tokenise`
:type tokens: ``list``
:return: The token list in postfix notation
:rtype: ``list``
"""
result = []
stack = []
bu... | 1e4bc897ec205112004aca56d49606e0726de27a | 3,614,132 |
def roots_legendre_interval(n, a, b):
"""
Computes the sample points and weights for Gauss-Legendre quadrature
on interval `[a, b]`.
The sample points are the roots of the n-th degree Legendre polynomial
`P_n(x)`. These sample points and weights correctly integrate
polynomials of degree `2n - 1... | 2e0e09785ec9557dbe4cc1c368d7401c581f947e | 3,614,133 |
from typing import Optional
from typing import List
from typing import Tuple
from pathlib import Path
def get_physical_dependencies(obj: str, lib: str, include_self: bool, job: Optional[IBMJob]=None, verbose: bool=False) -> List[Tuple[str, str, str]]:
"""Get the dependencies for a given physical file object
... | 8e358ef3a2b0210668ce1a4c88235c7975005138 | 3,614,134 |
import subprocess
def git_uncommited_changes():
"""
Returns True if the current git branch has uncommitted changes.
"""
p = subprocess.Popen(
['git', 'status'],
)
returncode = p.wait()
return (returncode is not 0) | 0e72aa04afabc0dd8a014dbfb30a08cdf22eed01 | 3,614,135 |
def compute_counters(data):
"""
Returns the number of times a separator is in each line.
"""
counters = np.zeros((len(data), len(SEPARATORS)))
for i, line in enumerate(data):
counters[i] = [get_character_count(line, sep) for sep in SEPARATORS]
return counters | 9c115cad6a543939ca6601183bf31d976abd7a80 | 3,614,136 |
def mishActivation(x):
""" Mish Activation Function """
return x * tf.math.tanh(tf.math.softplus(x)) | d66dd5a2ee371e7937aa69ddf00ffc7481dc0d32 | 3,614,137 |
import warnings
def MagneticDipoleWholeSpace(
XYZ, srcLoc, sig, f, moment, fieldType="b", mu_r=1, eps_r=1, **kwargs
):
"""
Analytical solution for a dipole in a whole-space.
The analytical expression is given in Equation 2.57 in Ward and Hohmann,
1988, and the example reproduces their Figure 2.2.... | d8517f93bfa3f1f341e3c45ce6cd567cbda9aa3c | 3,614,138 |
from clawpack.geoclaw import topotools
from numpy import array
import netCDF4
import xarray
def read_netcdf(path, zvar=None, extent='all', coarsen=1, return_topo=True,
return_xarray=False, verbose=False):
"""
:Input:
- *path* (str) - Path to the file to read, or url to remote file,
... | 9f28f25e7c7f9be856825843421f42a2f37027bf | 3,614,139 |
def quantize(v, unit):
"""Quantize value `v` to a multiple of `unit`. When `unit` is an integer,
the return value will be integer as well, otherwise the function will
return a float.
Parameters
----------
v : ndarray or number
Number to be quantized
unit : number
The quantiz... | 55f3b88d28dc94430cd7741f6f1e2603b208054e | 3,614,140 |
def next(dist, median, d1, d2, p, N):
"""
INPUT
dist: distance matrix
median: list of integers for selected vertices
d1: list of nearest facility for each vertex
d2: list of second nearest facility
p: number of facilities to locate
N: number of vertices on the nextwork
OU... | 00bb21f286b29659358c91144567940ba4cbf758 | 3,614,141 |
def stop():
"""
Stop the currently running recipe.
:return:
object
response
One of:
ok
error
message
Only present if response is "error" and there is a message to present to the user.
"""
recipes.stop()
return jsonify({... | 2c7dd7ff86d373877c9493b2027d0134624428f1 | 3,614,142 |
import textwrap
def loadings_histograms(
pca, feature_labels, n_components='all', bins=50,
n_features_to_label=10, max_text_len=35,
text_kws={'color': 'white',
'bbox': {'facecolor': 'k', 'alpha': 0.7, 'pad': 1}},
save_fig=None):
"""Plot histograms of the loadings ... | 70e0248b76f543100704445467be7c52f760e16a | 3,614,143 |
import re
def password_string(value):
"""密码输入类型"""
if len(value) < 8 or len(value) > 20 or re.match(r'^(?![0-9]+$)(?![a-zA-Z]+$)[0-9A-Za-z]{6,20}$', value) is None:
raise ValueError('密码至少包含 数字和英文，长度6-20,不能出现非法字符')
return value | e6bfcc473c164cd06e3acd65165f6fb9dcd251cf | 3,614,144 |
import traceback
def get_axes_texts(img, axis_entities):
"""The function for getting the texts in the axis"""
try:
data = []
# No axes in the image
if img is None or axis_entities is None:
return data
(img_height, img_width) = img.shape[:2]
for axis_id, axis... | 1f1bd3f7b5a6561df27c57bf95ccdf3e8700deee | 3,614,145 |
import typing
import torch
def mixture_component_selection_embedding_(subset_embeds: typing.Mapping[str, Tensor], s_key: str, flags,
weight_joint: bool = True) -> Tensor:
"""
For each element in batch select an expert from subset.
subset_embeds: embeddings of eac... | 970d3413356ffeb45be6c96cc31f137a2ce160d6 | 3,614,146 |
import os
def build_engine(onnx_file_path, engine_file_path, mode='fp32', verbose=False):
"""Takes an ONNX file and creates a TensorRT engine."""
TRT_LOGGER = trt.Logger(trt.Logger.VERBOSE) if verbose else trt.Logger()
with trt.Builder(TRT_LOGGER) as builder, builder.create_network(*EXPLICIT_BATCH) as net... | ef72a6caacfcdf9f55e09a5561634246ee7fe84d | 3,614,147 |
def filter_same_smiles(dset):
"""
Filter out species whose conformers don't all have the same SMILES. Can happen
because, for example, CREST simulations can be reactive. This won't happen if
conformers are generated using RDKit.
Args:
dset (nff.data.dataset): NFF dataset
Returns:
... | 968ffa6de9c3dd4c09620b4aa6bd94ac2f191b27 | 3,614,148 |
import logging
def user_popup(request):
"""/user_popup - Pop up to show the user info."""
try:
return _user_popup(request)
except Exception as err:
logging.exception('Exception in user_popup processing:')
# Return HttpResponse because the JS part expects a 200 status code.
return HttpHtmlRespons... | 0daa09fb4f6b173af0794e37b7276638f732fa0e | 3,614,149 |
from nltk.tokenize import RegexpTokenizer
from nltk.corpus import stopwords
from nltk.stem.wordnet import WordNetLemmatizer
def tokenize_word(text,
normalise_case=True,
keep_numerics=False,
shortwords=3,
remove_stopwords=True,
l... | 83790a61a2d17cb3442d9388c58e13f3b8339b66 | 3,614,150 |
def read_video(fname):
"""
Parameters
----------
fname
Returns
-------
"""
cap = cv2.VideoCapture(fname)
frames = []
it = 0
while True:
retval, image = cap.read()
if image is not None:
frames.append(image)
it += 1
if no... | 3a857ee51a5e04a3159a550c6652214203aef8ee | 3,614,151 |
def build_bankruptcy_definition(years):
"""Build a bankruptcy definition
Notes:
This function is set according to a line of best fit from Year 0 at -10% ROI to 10% ROI by Year 7.
Args:
years (int): No. of years for analysis
Returns:
Bankruptcy definitio... | c2364bd97eec587e57bc0d701d83b304631a8bd2 | 3,614,152 |
import textwrap
def run_pylint(source, msg_ids, *cmd_args):
"""Run pylint on some source, collecting specific messages.
`source` is the literal text of the program to check. It is
dedented and written to a temp file for pylint to read.
`msg_ids` is a comma-separated string of msgids we are intereste... | b7dd29571b85f607d36b4986e798de6dcda85e31 | 3,614,153 |
import nipype.pipeline.engine as pe
import nipype.interfaces.io as nio
import os
def resting_datagrab(c,name="resting_datagrabber"):
"""Returns a datagrabber nipype node. The datagrabber looks for the following files:
* reg_file : bbregister file
* mean_image : mean image after motion correction
* mask : mask im... | 3da8886de02bc7bed4a80ca1c32dcafde67235c7 | 3,614,154 |
import datasets
import os
import torch
import time
def create_and_train(data_folder,
training_subfolder = '/train/',
validation_subfolder = '/valid/',
batch_size = 64,
arch = 'densenet121', hidden_units = [], dropout = 0, bn = False,
... | ad62428b6c6ee115312bc10fc4ea63dcc88fe840 | 3,614,155 |
def compute_rot_scale_skew(lazAC, i=0, scaleFactor=1.):
"""
same as displayRotScaleSkew but without text output
"""
xshift = lazAC.Alm[i, 0] * scaleFactor
yshift = lazAC.Alm[i, lazAC.Nalm] * scaleFactor
if lazAC.k > 2:
idx_forXterm = np.where(lazAC.polynomialTermOrder == 'x')[0]
... | 4e3fa5ac0d3b1a0402cbebf7994eb0fb5acb286a | 3,614,156 |
import tempfile
import struct
import zlib
def readsav(file_name, idict=None, python_dict=False,
uncompressed_file_name=None, verbose=False):
"""
Read an IDL .sav file
Parameters
----------
file_name : str
Name of the IDL save file.
idict : dict, optional
Dictionary... | 1f056375d04bf8adddca86569c98f7d18708c351 | 3,614,157 |
import pickle
def top_results_overall(databases= 'all', n_entries= 10):
"""
Creates a table summarizing the overall performances
Args:
databases (str): 'all'/'high_ir'/'low_ir'/'high_n_min'/'low_n_min'/'high_n_attr'/'low_n_attr'
n_entries (int): number of entries to show
"""
result... | 04feeeef502b4b01c12574351aaa3b83d17c1066 | 3,614,158 |
def clean_data(data):
"""
Clean data from Kobo
:param data: Pandas DataFrame containing data from Kobo
:return: Pandas DataFrame
"""
# Remove unnecessary columns
drop_cols = ['subscriberid', 'deviceid', '_uuid', '_submission_time', '_validation_status', '_id', 'start', 'end',
... | 3defebabca1fdcd8bef96c1bec830d13cd63a571 | 3,614,159 |
def ignore_sparse_panel_future_warning(func):
"""
decorator to ignore FutureWarning if we have a SparsePanel
can be removed when SparsePanel is fully removed
"""
@wraps(func)
def wrapper(self, *args, **kwargs):
if isinstance(self.panel, SparsePanel):
with assert_produces_w... | 01d946c958f887008cdced6b62015b847393de2e | 3,614,160 |
def bad_unpacking():
""" one return isn't unpackable """
if True:
return None
return [1, 2] | dd241b5aa49b58300fd883d61b5eb41b1eb92aa1 | 3,614,161 |
def build_slices_from_list_of_arrays(list_of_arrays, n_his, n_feat, verbose=0):
"""
This function creates a list of slices of shape (n_his + 1, n_feat)
"""
assert list_of_arrays[0].shape[1] == n_feat, "list_of_arrays[0].shape[1]={} but n_feat={}".format( list_of_arrays[0].shape[1], n_feat)
X_sl... | bfec73928e84a07eab9fc00f2cf9c8b1d5ca31cb | 3,614,162 |
def most_similar(text, topn=10):
"""检索最相近的topn个句子
"""
token_ids, segment_ids = tokenizer.encode(text, maxlen=maxlen)
vec = encoder.predict([[token_ids], [segment_ids]])[0]
vec /= (vec**2).sum()**0.5
sims = np.dot(a_vecs, vec)
return [(kkk_all[i], sims[i]) for i in sims.argsort()[::-1][:topn]... | 1368a3f0c05fe8761be226c3a696e98bbaadf034 | 3,614,163 |
import types
def orient_by_rois(streamlines, roi1, roi2, in_place=False,
as_generator=False, affine=None):
"""Orient a set of streamlines according to a pair of ROIs
Parameters
----------
streamlines : list or generator
List or generator of 2d arrays of 3d coordinates. Each... | b0c3a25528d2f2a6a325161f9621e604541e9176 | 3,614,164 |
def luhn_checksum(check_number):
"""http://en.wikipedia.org/wiki/Luhn_algorithm ."""
def digits_of(n):
return [int(d) for d in str(n)]
digits = digits_of(check_number)
odd_digits = digits[-1::-2]
even_digits = digits[-2::-2]
checksum = 0
checksum += sum(odd_digits)
for d in even_... | 4209fd2f77acb240e7e2adfca63d638bb6f79187 | 3,614,165 |
import importlib
def _data_api():
"""Returns a Data API.
This relies on Django settings to find the appropriate data API.
"""
# We retrieve the settings in-line here (rather than using the
# top-level constant), so that @override_settings will work
# in the test suite.
api_path = getattr(... | 7a5b7bb3be6d86bd8bb3872a6bc0a9934b84f001 | 3,614,166 |
import os
import logging
import time
def setup_log_file_handler(config, logfile, fmt):
"""Setup file debug logging."""
log_file_path = os.path.join(config.logs_dir, logfile)
try:
handler = logging.handlers.RotatingFileHandler(
log_file_path, maxBytes=2 ** 20, backupCount=1000)
exce... | bfc32fa4f43a8c3f61ceb3e8d9d2783d7c7f7849 | 3,614,167 |
def get_system_log_queue():
"""
Json格式为:
{'alias':'w01'
'host':'192.168.1.100'
'timestamp':123213123
'type': 'reboot' or 'shutdown' or 'power' 三个值中其中一个
}
"""
system__log_queue ='ztq:queue:system_log'
return get_limit_queue(system__log_queue, 200) | 46329d3f5765b7fc07add5b2cec7b0978b8b6873 | 3,614,168 |
def blockchain_timeframe_summary(final_df, config) -> dict:
"""
Get summary statistics
:param final_df: The full dataframe of address information from the blockchain
:param config: configuration file for including start/end times in output dataframe
"""
print("Getting summary counts of analysi... | eedbb4e33bfdb937426ace26eba10427694356ec | 3,614,169 |
def user_has_custom_top_menu(domain_name, couch_user):
"""
This is currently used for a one-off custom case (ewsghana, ilsgateway)
that required to be a toggle instead of a custom domain module setting
"""
return (toggles.CUSTOM_MENU_BAR.enabled(domain_name) and
not couch_user.is_superus... | 735d119a5875cbf96b3f753fac334a51583f7477 | 3,614,170 |
import binascii
def b2x(b):
"""Convert bytes to a hex string"""
return binascii.hexlify(b).decode('utf8') | fded3635120d44436159908ed04e4384be1e5b47 | 3,614,171 |
import itertools
import logging
def get_size_k_subgraphs(graph, min_region_count, k=1, keep_grammars=[]):
"""for size k, get all unique subgraphs
"""
total = 0
subgraphs = []
current_subgraph_len = 0
for node_subset in itertools.combinations(graph, k):
subgraph = graph.subgraph(node_su... | 28b2df2256d0e337f0905c183c6a0a41dc68bf1b | 3,614,172 |
import numbers
def list_to_blackbird(A, var_name):
"""Converts a Python nested list to a Blackbird script array type.
Args:
A (list[list]): 2-dimensional nested list
var_name (str): the array variable name
Returns:
list[str]: list containing each line representing the
... | 80babac6cb03dfe0b0ef396e4dba45fb2fb4692a | 3,614,173 |
def CreateOptim(parameters, lr=0.001, betas=(0.5, 0.999), weight_decay=0,
factor=0.2, patience=5, threshold=1e-03, eps=1e-08):
""" Creates optimizer and associated learning rate scheduler for a model
Paramaters
----------
parameters : torch parameters
Pytorch network parameters ... | 95041c17f613d98dfbadb063c7117b4202e59ee3 | 3,614,174 |
import os
import re
import platform
def find_path_by_regexp(default_dir, search_regexp, allow_environment_path=True) -> list:
"""
Search regexp or path in default directory and directory by environment path.
Args:
default_dir (str): Default directory to search application
search_regexp (s... | d9c87d40bb11c1064aa35c368a8dffcbfcdab791 | 3,614,175 |
import sys
def try_decorator(error_ret=None):
"""
Decorator that tries something, OR returns a safe_value if failure happens (and continues)
usage:
@try_or_return_none
def foo():
if rand() > 0.9:
raise Error
else:
return rand()
"""
def real_decorator(funct... | 25f54168b9b0940e054d2ad75379de295ba7ed05 | 3,614,176 |
def prepare_images_tensorflow(images: np.ndarray) -> np.ndarray:
"""
Prepares an image ndarray to fit into the tensorflow NHWC
Args:
images: The images in an nxmxm format
Returns:
The images in the NHWC tensorflow format.
"""
return images.reshape(*images.shape, 1) | b8be86bc6efb9ad076a61779a35e9bda98aa3f24 | 3,614,177 |
import click
def line_width_option(**kwargs):
"""Get line width option for the plots"""
def custom_line_width_option(func):
def callback(ctx, param, value):
ctx.meta["line_width"] = value
return value
return click.option(
"--line-width",
type=F... | ef846fc4c8ba54891aac166aaf09d31816d83934 | 3,614,178 |
import ctypes
def make_array_ctype(ndim):
"""Create a ctypes representation of an array_type.
Parameters
-----------
ndim: int
number of dimensions of array
Returns
-----------
a ctypes array structure for an array with the given number of
dimensions
"""
c_int... | c83ab386d40043d49d1b86c21c2789c461999fc5 | 3,614,179 |
def get_popular_article():
"""Get top 3 most popular articles"""
query_command = "SELECT * from popular_posts LIMIT 3"
query_data = run_query(query_command)
return query_data | 1a2416746f8a74e5fa1028266a5bdf619f97aff8 | 3,614,180 |
def get_json_request_header():
"""
Return the header for JSON request
:return:
"""
return {'Accept': 'application/json', 'Authorization': 'Token sessionTokenHere==', 'Accept-Language': 'en'} | 9767910ae8e4c1fe8993ab45fa2331e9ea6efad1 | 3,614,181 |
def diffraction_limited_mtf(fno, wavelength, frequencies=None, samples=128):
"""Give the diffraction limited MTF for a circular pupil and the given parameters.
Parameters
----------
fno : `float`
f/# of the lens.
wavelength : `float`
wavelength of light, in microns.
frequencies ... | 003c578ff0a19b98e4d7658515f53eecd8a87f82 | 3,614,182 |
def warrior2_label_csv(pose_df, side='right'):
"""
takes averages of all rows (2d_points)
OLD order: head_front, sholders, arms, torso forward,
torso backward hips, knee acute, knee obtuse, step wider
1 - needs to be adjusted
0 - good
Order for 9 digit labeling:
1. arms
2. front_knee... | b9e8cfbd974607fb25ec5e27054674680f8c8ca1 | 3,614,183 |
import logging
def ddmin(c, n, test):
"""
The original delta debugging algorithm
:param c: Current input
:param n: Current granularity
:param test: Test function used to determine if a particular input leads to a fault, a return value of True
indicates a failure
:return: Minimal subse... | b26edff1492ca5b5a54d364efc37ee5c2206b135 | 3,614,184 |
from unittest.mock import Mock
import json
def check_client_method():
"""
Helper to test an API method -- returns a tuple of
(test_api_client, check_assertions) where check_assertions will
verify that the API method returned the data from http.request,
and that http.request was called with the cor... | 20c49495861a509c97c007009423a3ecabeabfb5 | 3,614,185 |
def CMDdiff(parser, args):
"""Displays local diff for every dependencies."""
parser.add_option('--deps', dest='deps_os', metavar='OS_LIST',
help='override deps for the specified (comma-separated) '
'platform(s); \'all\' will process all deps_os '
... | 7fd2c16e3ed63d4b39f1a35d969f6da76bf6a868 | 3,614,186 |
def remove_accessory():
"""
Remove the accessory from the database. Inform user if it was successful or not.
"""
add_accessory_form = AddAccessoryLiftForm()
remove_accessory_form = RemoveAccessoryLiftForm()
accessory_lifts = AccessoryLift.query.filter_by(lifter=current_user)
remove_accessor... | 02fdaf80590999a1ee37ad9438d38cb776a0aba0 | 3,614,187 |
def Pwr(a, b):
"""
a to the power of b
:param a the base
:param b the power value
:return a^b
"""
c = 0
if a == 0:
c = 0
elif b == 0:
c = 1
else:
i = 0
c = 1
while i < b:
c = Mul(c, a)
i = i + 1
return c | fc560d6ec568f5297dc9d8fdfae2e938ecaee98f | 3,614,188 |
def random(pages : int = 1, wiki : str = WIKI, language : str = LANG):
"""
Get a list of random fandom article titles.
Returns the results as tuples with the title and page id.
.. note:: Random only gets articles from namespace 0, meaning only articles
:param pages: the number of random pages returned (max... | 785aa1179113367c6f1e565c8a2ef1f092898f60 | 3,614,189 |
def xilogxi(x):
""" x: scalar """
if 0 == x:
return 0
else:
return x*np.log(x) | 3baf0e2165c7d8b290d46705f1f333c47227d573 | 3,614,190 |
import requests
import logging
def remove_ipfs(ipfs_hash):
""" Removes pin from IPFS hash in Blockfrost """
ipfs_remove_url = f"https://ipfs.blockfrost.io/api/v0/ipfs/pin/remove/{ipfs_hash}"
headers = {"project_id": f"{config.BLOCKFROST_IPFS}"}
res = requests.post(ipfs_remove_url, headers=headers)
... | 28b148b91a3943041d549bec7fa7ae590c40a4ab | 3,614,191 |
import os
def migrate_system_connections(src_sc: str, dest_sc: str) -> bool:
""" Migrate the contents of a system-connections dir
:param dest_sc: The system-connections to copy to. Will be created if it
does not exist
:param src_sc: The system-connections to copy from
:return: Tru... | e8fbd5088d36d94f6c9ddb1cc571fb0049d8f3d6 | 3,614,192 |
def solution_list(request, cc_biz_id):
"""
套餐列表
"""
solution_list = Solution.objects.filter(cc_biz_id=cc_biz_id, ).order_by('-id')
solution_types = dict(fta_std.SOLUTION_TYPE_CHOICES)
now = timezone.now()
last_week = now - timedelta(days=7)
date_range = '%s to %s' % (last_week.strftime... | c18032502e268af54be0c3c8c408d9e33ce0f106 | 3,614,193 |
import sys
def fasta2ids(faf, verbose=False):
"""
Extract IDs from a fasta file
:param faf: fasta file
:param verbose: more output
:return: a set of IDS
"""
if verbose:
sys.stderr.write(f"{bcolors.GREEN} Reading IDs from fasta file: {faf}{bcolors.ENDC}")
f = read_fasta(faf, wh... | 332259ef43a68fab408468dc300df1b7e0d7ec54 | 3,614,194 |
import platform
def get_uname():
"""Get uname."""
# Preferable to running a system command
uname = " ".join(platform.uname())
return uname | 18b7fc9ae6c51c0c5087ed67586a7fc358697405 | 3,614,195 |
import re
def find_run_tap_log_file(stdout, sync_engine=None):
"""Pipelinewise creates log file per running tap instances in a dynamically created directory:
~/.pipelinewise/<TARGET_ID>/<TAP_ID>/log
Every log file matches the pattern:
<TARGET_ID>-<TAP_ID>-<DATE>_<TIME>.<SYNC_ENGINE>.log.<... | e6ddad6fc64574e9306188285d91033d28eae442 | 3,614,196 |
def _kim_cnn_model(params, args, nb_classes, embedding_matrix):
"""
fully functional API style so that we can see all model details.
params will obtain model related parameters
:param params:
:param args:
:param nb_classes: # of labels to classify
:param embedding_matrix:
:return: a com... | 2cf777d0dfd9e6900776f0cf281010bc7d1d8bdf | 3,614,197 |
def everything_except(excluded_types):
"""hypothesis utility to generate everything but the types in excluded_types"""
return everything().filter(lambda x: not isinstance(x, tuple(excluded_types))) | e0b789cb8637e6bed2669f17cf33b4327a20d22c | 3,614,198 |
def get_country_names() -> list[str]:
"""Return country names."""
return [country.name for country in get_countries()] | a3118df56f3fd18ca74a7047a4e91448e07a06db | 3,614,199 |
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