content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
import collections
import json
def _convert_validators_to_mapping(validators):
""" convert validators list to mapping.
Args:
validators (list): validators in list
Returns:
dict: validators mapping, use (check, comparator) as key.
Examples:
>>> validators = [
... | 656df1f29ab537ab0d4ec1186c31b2c92b6d8c64 | 77,262 |
from typing import Iterable
from typing import Union
from functools import reduce
def merge_all(item: Iterable[Union[dict, partials.Partial]]) -> dict:
"""Merge contexts of an arbitrary number of items."""
dicts = []
for elem in item:
dicts.append(elem if isinstance(elem, dict) else elem.context)
... | e4dded6fae3a5f6475ddc2ea22445403bbaa3e6f | 77,263 |
def numpy_quaternion_to_icv_quaternion(numpy_quaternion):
"""
Convert a quaternion from transforms to a icv msg quaternion
:param numpy_quaternion: a numpy quaternion
:type numpy_quaternion: numpy.array
:return: a icv quaternion
:rtype: geometry_msgs.msg.Quaternion
"""
icv_quaternion = ... | a44d65be59e3b83fba75a746ee80f65dfb4a5d4c | 77,265 |
import six
def _process_annotation_items(items, hyphens_as_underscores):
""" Process annotation items after the scalyr config prefix has been stripped
"""
def sort_annotation(pair):
(key, value) = pair
m = SCALYR_ANNOTATION_ELEMENT_RE.match(key)
if m:
root_key = m.grou... | a3b8987ece108c8526119d7150fe670e06dc3018 | 77,266 |
def decompose(polygon, origin=None, width=1.0):
"""
Decompose the field into a list of points to cover the field.
"""
p = generate_intersections(polygon, width)
if origin == None:
return order_points(p, polygon.bounds[0:2])
else:
return order_points(p, origin) | 2222fbd462f8d1f21e355757e0da4317b6b2d01a | 77,267 |
def add_doubles(x=float, y=float):
"""
return x+y;
"""
return float | 78a9c21f6bf746a4e232c4f841c2f7a6547beefe | 77,268 |
def frontend_url(name, **query_args):
"""Build a URL for a Frontend Link.
Builds a URL for the Jade Tree frontend using the Frontend URL list loaded
from the application configuration. Any `query_args` parameters will be
included as GET query arguments in the URL.
Args:
name: Name of the f... | b694ae9b38b038efb9abc0f8532824cb6ca382bc | 77,269 |
def sort_and_pick_median(seq):
"""Standard and most apparent way or algorithm to find median of some
sequence or list O(nlog(n))
:param seq: list, string, tuple, or other type
:return: the value of the median of the sequence
"""
i = (len(seq) - 1) // 2
return sorted(seq)[i] | 7f8566493d8764a9b6e68cbf798117ae2cdbc9dc | 77,270 |
def nest_any_node(ren_args: RenArgs) -> str:
"""Nest both operation & data under `parent`'s name (if given) but NOT jsonparts.
:return:
the nested name of the operation or data
"""
def prefixed(name):
return f"{ren_args.parent.name}.{name}" if ren_args.parent else name
if not ren_... | a43b8679e35b079ac697aad0e164bc4a24507e80 | 77,271 |
import torch
def torch_isOverlap(V, W, ind, classId, isUsingGPU = False):
"""
Checking overlap between hyperbox ind and remaning hyperboxes (1 vs many)
INPUT
V Hyperbox lower bounds
W Hyperbox upper bounds
ind Index of the hyperbox to be checked for... | f19689efa36b98165f9f5921a0237c8492b26a42 | 77,272 |
def one_compound_ingredient(one_ingredient_series_static, compound_ingredient_label, chemdf_dict):
"""
Parameters
----------
ingredient_series :
ex. as generated by expworkup.ingredients.get_ingredients_df()
_raw_reagent_2_chemicals_0_inchikey VAWHFUNJDMQUSB-UHFFFAOYSA-N
... | 8e94f89075bd3e8276c626ab1c12eb95beeebee5 | 77,273 |
def spectral_perturbation_correlation(
pert_fn,
diff_fn,
pred_fn,
n_layers,
inputs,
n_iterations,
batch_size=30,
seed=((2017, 7, 10)),
):
"""Calculates perturbation correlations for layers in network by perturbing either amplitudes or phases
Parameters
----------
pert_fn... | 6359ed25c39e843e66c3b3068231cf28b09973c1 | 77,274 |
import requests
import csv
def load_insteval():
"""Loads the InstEval data set.
It contains 73,421 university lecture evaluations by students at ETH
Zurich with a total of 2,972 students, 2,160 professors and
lecturers, and several student, lecture, and lecturer attributes.
Implementation is buil... | 8f683207b48e784dfe4f0f1e63e8afdc90e10a3e | 77,275 |
def load_data(args):
"""Load data from HDF5 file if required"""
if hasattr(args, "data"):
return args.data, args.targets
data_root = h5py.File(args.data_filename, "r")
data = data_root[constants.DATA][...]
targets = data_root[constants.TARGETS][...]
return data, targets | b645c5ad383ea571ad4ce47ad96a5144f0bc2141 | 77,276 |
from typing import Optional
from typing import Set
def create_entity_menu_item(db, attributes=None, mixin=None):
"""
Creates and returns a menu item entity to mapping in the database.
Arguments:
db (pony.orm.Database): database instance.
attributes (dict): entity Attributes.
mixin... | 391b58508c8f4ee0654584741bdb338fa7541456 | 77,277 |
import cv2 as cv
import torch
def rot_to_euler(R: np.array) -> np.array:
"""
:return: Euler angles in rad in ZYX
"""
if torch.is_tensor(R):
R = R.detach().cpu().numpy()
angles = np.radians(cv.RQDecomp3x3(R)[0])
angles[0], angles[2] = angles[2], angles[0]
return angles | b55c480c76452d16a8fca04cfa00dcbebf6dd28b | 77,278 |
import collections
def create_report_dictionary(report_list, seq_list, id_column='SeqID'):
"""
:param report_list: List of paths to report files
:param seq_list: List of OLC Seq IDs
:param id_column: Column used to specify primary key
:return: Dictionary containing Seq IDs as keys and dataframes a... | 22d873f7060009e9ded958c9ce1fbf5b68216d66 | 77,279 |
def find_style(term):
"""Return a list of styles the names of which include a search term.
Keyword arguments:
term-- a string to search
"""
styles = all_styles()
found_styles = []
if term =='':
return found_styles
else:
for style in styles:
if term in s... | f1600ae982ec067e7b5f54c3eb74e347da3a5bc9 | 77,280 |
def get_users_router(
fastapi_users_objects=None,
route_settings=DEFAULT_USERS_ROUTE_SETTINGS,
*args, **kwargs):
"""
Get a users router.
Parameters
----------
fastapi_users_objects : dict
Dictionary returned from :func:`msdss_users_api.tools.create_fastapi_users_objects`.
ro... | db30b637f7db606224d2113a92c12e6773566cd2 | 77,281 |
from typing import List
def fetch_common_ixps(peers: List[Peer]) -> List[str]:
"""Return a list of common IXPs.
Arguments:
peers: A list of Peer objects for a given ASN.
Returns:
A list of common IX points, based in their name.
"""
common_ix = set([i.name for i in peers[0].peerin... | 3db3f1e2b5386f9c4f22dbb2dcbf1e786ad3d7ac | 77,282 |
def match(substrate, target):
"""
Compare two sequences of the same length and return indexes of the
positions where the sequences differ.
"""
if len(substrate) != len(target):
log("WARNING: len(substrate) != len(target) "+str(len(substrate)) +'!='+ str(len(target)))
return ... | 1b8e29bbe4b5710a88b42a581ba82606a4748409 | 77,283 |
def dataDirection_1(datas, offset=0):
"""
极小型指标正向化
:param datas: 迭代器
:param offset: 防止出现除以 0 的错误
"""
def normalization(data):
return 1 / (data + offset)
return list(map(normalization, datas)) | d5a70e8e3b0e232d6e3f7a420b815a2323efe065 | 77,284 |
def is_consistent(
topology_matrix: TopologyMatrix
) -> bool:
""" Checks whether an SDF graph has consistent firing rates """
_, matrix = topology_matrix
num_agents = len(matrix[0])
return np.linalg.matrix_rank(matrix) == num_agents - 1 | 1c6625e30599c51d47992006c9ff37b727cc22a9 | 77,285 |
def single_file_output(in_file):
"""
Extract sample name from file ie. /path/to/test.fa --> test
:param in_file: path/to/file (str)
:return: extracted sample name (str)
"""
return in_file.split('/')[-1].split('.')[-2] | 4dd5c5f0de584f479fdf91e88cdede33c8072f10 | 77,288 |
def _roll_once(
tensor: tf.Tensor,
shift: int,
axis: int,
) -> tf.Tensor:
"""Roll along a single dimension like tf.roll()."""
if not shift:
return tensor
axis = _normalize_axis(axis, len(tensor.shape))
slice_left = (slice(None),) * axis + (slice(-shift, None),)
slice_right = (slice(None),) * a... | 2d7cc5862703ec77065fe4f2fba3e0f7f2dc6361 | 77,289 |
def create_context_path_comp_service_path_comp_service_by_id(uuid, path_comp_service): # noqa: E501
"""Create path-comp-service by ID
Create operation of resource: path-comp-service # noqa: E501
:param uuid: ID of uuid
:type uuid: str
:param path_comp_service: path-comp-servicebody object
:ty... | 51653f14c31685950a7b88e925dfd5f7d1edc573 | 77,290 |
def single_exon_transcript(single_exon_dict,transiddict):
"""Give single exon reads a transcript.
Parameters
----------
single_exon_dict : dict
read id is key, value is list [chromosome,start,end,strand]
transiddict : dict
read id is key, transcript id is value
Returns
-------
dict
a dictionary of sin... | 215e7e2c67ab5f880db58a3a5efd03c5397e9ab4 | 77,291 |
def get_host_component(host_component_id):
"""
Returns host_component object in dictionary format
:param host_component_id: Object ID
:type host_component_id: int
:return: HostComponent object
:rtype: dict
"""
fields = (
'cluster',
'host',
'service',
'com... | 1325cf49d92a3839623d938e66bdae8309d3cd08 | 77,293 |
def VerifyFileID(fi_disk, fi_ours):
"""Verifies that two file IDs are matching.
Differences in the inode/device are not accepted, but and older
timestamp for fi_disk is accepted.
@param fi_disk: tuple (dev, inode, mtime) representing the actual
file data
@param fi_ours: tuple (dev, inode, mtime) repre... | c32acadd21b249904374eb44bcab3db42fe3972c | 77,294 |
def rxp(r, p):
""" Multiply a p-vector by a r-matrix.
:param r: rotation matrix.
:type r: array-like of shape (3,3)
:param p: p-vector.
:type p: array-like of shape (1,3)
:returns: r * p as a numpy.matrix of shape 1x3.
.. seealso:: |MANUAL| page 196
"""
rp = _np.asmatrix(_np.zero... | b5d1e7e7401ae71046a8cf9f01d334c991d01925 | 77,295 |
def getPodName(ctx):
""" Get the name of the pod in which our current deployment is running """
return _getPodProperty(ctx, 'name', '.metadata.name') | 834e40fc0487ef70ae2b9b0c0eadd2f334a0510f | 77,296 |
def _c2_prob_ ( s ) :
"""Chi2 probabiilty
>>> r = h.hfit ( ... )
>>> r.Prob()
"""
dofs = s.points() - s.size()
return ROOT.TMath.Prob ( s.chi2() , dofs ) | 55d901138d82b4e1c0b90c0a4e24204f8cd975c6 | 77,297 |
def dist2(a, b):
"""Return the square distance between two vectors.
Parameters
----------
a : np.array
b : np.array
"""
return norm2(a - b) | 5349883b2a1934ffe6754098ed1c4b833a60cf13 | 77,298 |
def argument(*name_or_flags, **kwargs):
"""Convenience function to properly format arguments to pass to the
subcommand decorator.
"""
return (list(name_or_flags), kwargs) | c92fb9d2aaea1e2db6354ba7fff7c267c7932556 | 77,299 |
def parse_node_metrics(nodes_data: dict,
node_id_mapping: dict,
os_idrac_hostname_mapping: dict):
"""parse_node_metrics Parse Node Metircs
Parse Nodes metrics get from Slurm API
Args:
nodes_data (dict): Nodes data get from Slurm APi
node_id_ma... | f2d093cf0f782c698a92a542328d303797488e0b | 77,300 |
import json
def landsat_config_file(tile_path):
"""
Read a LandSat MTL config file to a Python dict
"""
f = open(tile_path)
group_path = []
config = {}
for line in f:
line = line.lstrip(' ').rstrip() #remove leading whitespaces and trainling newlines
if line.startswith(... | c32374f8ac4ce9378db32c7fa734de259fa8f844 | 77,301 |
def get_shadowset_members(shadowset='dsa0:'):
""" Returns an array with the members of a shadowset """
members = run('SHOW DEVICE {} /BRIEF | SEA SYS$PIPE ShadowSetMember'.
format(shadowset))
return [member.split()[0] for member in members.splitlines()] | e8304df26b13a186e948e5e694b8e88f21710b69 | 77,302 |
import re
def shn_split_multi_value(value):
"""
@author: Michael Howden (michael@aidiq.com)
Converts a series of numbers delimited by |, or already in a string into a list
If value = None, returns []
"""
if not value:
return []
elif isinstance(value, ( str ) ):
if "[... | df68123661dc1f5ebed2abf734880da975aeb0ad | 77,304 |
def resblock_g(h, y, scopename,
n_classes, maps, kernel=(3, 3), pad=(1, 1), stride=(1, 1),
upsample=True, test=False, sn=True, coefs=[1.0]):
"""Residual block for generator"""
s = h
_, c, _, _ = h.shape
with nn.parameter_scope(scopename):
# BN -> Relu -> Upsample -... | 6339f1a58976b6f5b82a6b696bd008108be2e848 | 77,305 |
from typing import Dict
from typing import List
def get_excluded_shipping_methods_or_fetch(
webhooks: QuerySet, event_type: str, payload: str, cache_key: str
) -> Dict[str, List[ExcludedShippingMethod]]:
"""Return data of all excluded shipping methods.
The data will be fetched from the cache. If missing ... | c7dd78422dbc7c49c01cf62c6845342c59c85aef | 77,306 |
import joblib
def dt_eval(data, target, depth=4, class_weight="balanced"):
"""
evals a single data set against itself
target is the class variable, all other variables are used for training
"""
class_var = target
features = data.columns.values[~data.columns.str.contains(class_var)]
clf =... | 42b7871b574387779ad40997f99e42578a440058 | 77,307 |
def list_subscriptions(subscription_key=None, subscription_type=None):
"""
GET /subscriptions
:return: list of subscription objects serialized into json
"""
request_inputs = anchore_engine.apis.do_request_prep(
request,
default_params={
"subscription_key": subscription_k... | eb31e943b32aa09dba5d48bf238ec100fb8d3923 | 77,308 |
def _softmax(x): # softmax over 4 dim matrix
""" Numpy-based reference softmax over 4 dim matrix"""
output = np.zeros(x.shape, dtype=np.float32)
for i in range(x.shape[0]):
for j in range(x.shape[1]):
for k in range(x.shape[2]):
x_curr = x[i, j, k, :]
e_x... | 429e50ce2e7b42a9f6b2422dadbe88432bdf899f | 77,309 |
from core.models.coreproxy import ScheduleConfigProxy, JobsProxy
from datetime import datetime
def check_config(user_id, schedule, schedule_configs):
"""
check and update schedule config
"""
message = []
sch_configs = []
"""
remove existing records
"""
ScheduleConfigProxy.o... | 8e41d30855b3a4b65984f2c30bdcb59cb46b7b38 | 77,310 |
def get_download_url_from_tag(package, version, data = None):
"""
Return the download URL for a given version (which is tag).
@package - :user/:repo combination
"""
tags = get_tags(package, package)
this_ver = which_tag(version, tags, package.split('/')[1])
return "https://codeload... | 09de38f137230d0e032d813b9f1a0eac3bd59553 | 77,311 |
def new():
"""
:return: a new preview collection.
:rtype: :class:`ImagePreviewCollection`
"""
return ImagePreviewCollection() | 6feab8b09bc3b1bc17dc16bf4da763d2232ef933 | 77,312 |
import random
def language():
"""Random language name, e.g. ``Polish``."""
return random.choice(get_dictionary('languages')).strip() | 7da8ce06929fdc74eaf55c5109ab445bf6341d90 | 77,313 |
def _lstm_model(params, args, nb_classes, embedding_matrix):
"""
BD LSTM-RNN
:param args:
:param embedding_matrix:
:return:
"""
lstm_hs = params['lstm_hs']
use_embeddings = params['use_embeddings']
embeddings_trainable = params['embeddings_trainable']
input = Input(shape=(args.... | 30b56d7f21aa9a1b757d6141dff2e136780068f1 | 77,314 |
import six
def list_as_string(option):
"""Returns the argument as a string.
Useful for insuring that ConfigObj options are always returned
as a string, despite the presence of a comma in the middle.
Example:
>>> print(list_as_string('a string'))
a string
>>> print(list_as_string(... | 0bd269fb455ce8eb20c4c0838fd4611832686baf | 77,315 |
import shutil
def first_order_of_motion(state, source):
"""
Peforms first order of motion, updates the state, and returns whether the
operation was successful
"""
source_path = (
"./vision/first_order_motion/data/"
+ str(source.lower().replace(" ", "_"))
+ ".png"
)
... | f2de05a9f19c5bf66271f1aaae45d633698cb2e4 | 77,316 |
def load_medical_image(patient_id, medical_image):
"""Loads specified medical image
GET request, queries the server for a specific medical image specified
by the input medical image name.
:param patient_id: int containing patient ID
:param medical_image: str containing medical image file name
... | 3e8d159b41a9d966dcca2dc3e2699170758025db | 77,319 |
def nip(string):
"""
Rather than escaping special chars like above, this simply deletes them.
For use in CSS classes and other restrictive environments.
N.B. THIS ALSO PUTS EVERYTHING IN LOWERCASE FOR CONSISTENCY
"""
out = ""
for char in string.lower():
if char.isalnum() or char in ... | cf01e0d2736bbbf1b8046d23bc1f1d2dbfba6da9 | 77,320 |
from pm4py.objects.log.util import dataframe_utils
from pm4py.objects.log.util import artificial
from typing import Union
def insert_artificial_start_end(log: Union[EventLog, pd.DataFrame]) -> Union[EventLog, pd.DataFrame]:
"""
Inserts the artificial start/end activities in an event log / Pandas dataframe
... | d107be94017fabe4d68a6726b76228adb0961c8e | 77,321 |
def sequences_to_char_form(seqs_lst, biomolecule):
"""Give a list of sequences whose residues are represented by integers, this
function converts the sequences in which the residues are represented by
characters. Note that this function does not read from FASTA files.
Parameters
----------
... | 1007f8fef33ab294171315f011232ffbe063b757 | 77,323 |
def sing_RS256(message, key):
"""
Generates a sign using SHA256withRSA (also known as RSASSA-PKCS1-V1_5-SIGN with the SHA-256 hash function).
Needed to make an Signed JSON Web Tokens request (Signed JWT assertion)
"""
if isinstance(key, StringTypes):
if len(key) > 800: # key as string
... | 2d28e8ed2c1df8a5422560aec24503899b486967 | 77,325 |
def rewriter(field, rules):
"""Create a template field function that rewrites the given field
with the given rewriting rules. ``rules`` must be a list of
(pattern, replacement) pairs.
"""
def fieldfunc(item):
value = item._values_fixed[field]
for pattern, replacement in rules:
... | c9cfba499f1dc8683df3918a9f497ec69ad07700 | 77,326 |
from gkutils.commonutils import Struct
import MySQLdb
def followupListQuery(listId, djangoRawObject = None, conn = None):
"""followupListQuery.
Args:
listId:
djangoRawObject:
conn:
"""
resultset = []
if djangoRawObject:
# Assume a Django query by default
resultset = ... | e43039aca91e5f2c070de5330eb0e24e0429fd9b | 77,327 |
def get_response_headers(response):
"""
Django 3.2+ comes with changes to the repsonse headers and the _headers is not present
in the newer versions. So this method checks if it's present in the response or not, else
returns the newer attribute headers from the response.
"""
if hasattr(response,... | a4b135dffbe9ee85c602ea665e43590ff8beedd1 | 77,328 |
import torch
def circular_correlation(
a: torch.FloatTensor,
b: torch.FloatTensor,
) -> torch.FloatTensor:
"""
Compute the circular correlation between to vectors.
.. note ::
The implementation uses FFT.
:param a: shape: s_1
The tensor with the first vectors.
:param b:
... | 1fd2c08f032867821d22335574b642dcff37451e | 77,329 |
def similarity(event, places):
"""
Return a list of dissimilar events to the given event. This is the
successor function used in the search tree: a node's successors are the
list of dissimilar options for the next choice.
event (dict): A potential place/event.
places (list): All potential places... | ca9a171abe37e7e9d48a604ca92c56092d4fa8c8 | 77,331 |
def get_iou(mask, label):
"""
:param mask: predicted mask with 0 for background and 1 for object
:param label: label
:return: iou
"""
#mask = mask.numpy()
#label = labels.numpy()
size = mask.shape
mask = mask.flatten()
label = label.flatten()
m = mask + label
i = len(np.a... | 29af779d31c5f5c4718d063c557f027957b60365 | 77,332 |
def define_band_colors():
"""
Define dictionary of colors to be used in plots (e.g. histograms) for representing
data in specific bands
"""
band_color_rep = {'B': 'blue',
'G': 'green',
'R': 'red',
'N': 'black',
... | a17bf7d0a2742e2cf2c94beec3f97b27e1c640e3 | 77,334 |
def _raster_mask(raster, geodataframe, driver, output_type, no_data, all_touched,
window_size, nb_processes, chunksize):
""" Apply mask into raster
"""
mask = raster.__class__.rasterize(geodataframe,
raster.crs.to_wkt(),
... | 9debf76be160c10ac8b5767e8880c52a88e1555b | 77,335 |
def get_varinfo_from_table(discipline,parmcat,parmnum):
"""
Return the GRIB2 variable information given values of `discipline`,
`parmcat`, and `parmnum`. NOTE: This functions allows for all arguments
to be converted to a string type if arguments are integer.
Parameters
----------
**`discip... | d6e3b08dfcbfb023a2725ef1ffbb44448881fa64 | 77,336 |
import requests
def WaitForOperation(operation_service, operation,
max_retries=None,
retry_interval=None,
retry_callback=None):
"""Wait until the operation is complete or times out.
Args:
operation_service: The apitools service type for operation... | 7277b37ee885431125cc927c00f5babe93ea871d | 77,337 |
import random
def evolve(pop, mut_rate, mu, lambda_):
"""
Evolve the population *pop* using the mu + lambda evolutionary strategy
:param pop: a list of individuals, whose size is mu + lambda. The first mu ones are previous parents.
:param mut_rate: mutation rate
:return: a new generation of indiv... | e2510d0ce92d0c5703b9166778f48581db4aca2f | 77,338 |
def state_from_id(index, dims_state_grid):
"""Convert *idx* to state array structured according to *dims_state_grid*"""
entries = [index] * len(dims_state_grid)
for i in range(1, len(dims_state_grid)):
value = 1
for j in range(i, len(dims_state_grid)):
value *= dims_state_grid[j... | 14cbd17feb842eef6ae466c46ee8781dd6682aca | 77,339 |
import re
def strip_comments(source_code):
"""
Strips comments from source code to increase analysis accuracy.
The function is similar to strip_quotations. It removes all comments
from the source_code. It is also used to prevent false positives.
It uses a regex to match and remove line comments a... | 7e3842940367caaae875ec6c24a1a40fdf7efbc0 | 77,340 |
def parse_xyz(xyz_path):
"""Parses atomic structure, charge and spin from xyz file.
The second line of the xyz file is assumed to contains two integers,
representing charge and spin multiplicity (spin + 1).
Args:
xyz_path: String, the path to the xyz file.
Returns:
atom: String, the atomic structur... | f60afed4c1d47002f898f1df761a6b1016d599ee | 77,341 |
def calculate_log_2_factor(value):
""" Function that calculates the logarithmic term!"""
result = np.log2(1 + value)
return result | dcc01dfba8a9b8795bc9f3f8439192532f8fb918 | 77,342 |
def parse_dj_database_url(url):
"""Parse a database URI into a Django db config dictionary.
Also adds an ``ENGINE`` key: ``django.db.backends.postgresql_psycopg2`` for
Postgres. No other database is supported.
E.g. parses ``postgres://user:pass@host:port/dbname`` into::
{
'NAME': ... | 3e5091cef84c90247c8e257ae9101b6884309f48 | 77,343 |
def TwitterCheck(handle):
"""
Return list of success and failures for Twitter handles list, with
total counts.
"""
TwitterMessageList = ["TWITTER TESTING\n\n"]
TWfound = 0
TWmissing = 0
# check whether token works by testing URL for a controlled page
TokenStatus, TokenMessage = Test... | 06793e9a83b77fd8af0257afa6e478cab22b6755 | 77,344 |
def partial_dwptn(data, wavelet, mode='symmetric', axes=None, approx_only=False):
"""
Partial Single-level n-dimensional Discrete Wavelet Packet Transform.
Computes only approximation subband
Parameters
----------
data : array_like
n-dimensional array with input data.
wavelet : Wavel... | 2ed4e701e7fadf3eda39de3a4fb09e4b9e98b577 | 77,345 |
def preprocess_data(data, label_encoder):
""" Get input columns from raw data """
# Remove Tree Name column
input_data = data
""" Encode Categorical variables """
for i,item in enumerate(input_data[0,:]):
if isinstance(item, str) is True:
input_data[:, i] = label_encoder.fit_tra... | 50f03f59a3ea98915d760f74a888780af69b1c68 | 77,347 |
def apply_action(action, state, step_number):
"""
Method to apply the control action to the cart-pole simulation.
Arguments:
action: The binary action defining direction of
force to be applied.
state: The state variables (x, x_dot, theta1, theta1_dot, theta... | 5e07ac96b299a2d445d0f11ba1eae302b1bcf0f2 | 77,348 |
def parse_repository_name(pull_spec_reference: str) -> str:
"""
Parse repository name from container pull spec
Args:
pull_spec_reference (str): Container pull specification
Returns:
str: Repository name
"""
pull_spec = pull_spec_reference
if not pull_spec_reference.startswi... | 0829d25eaa2cece7f24953d839eb5eea343dc711 | 77,349 |
def euclid(a, b):
"""returns the Greatest Common Divisor of a and b"""
a = abs(a)
b = abs(b)
if a < b:
a, b = b, a
while b != 0:
a, b = b, a % b
return a | 861fb3e979ec4d6b5f171a62a5b2bfb044094b8f | 77,352 |
import configparser
def check_test_case_config_vs_web(
case_idx=0, verbose=True, refresh=True, session=None, rtol=1e-5, atol=1e-8, case_file='no_test_cases.ini', official_func=None):
"""
this checks the config tax number vs the web number
"""
input_struct = {}
cases = configparser.ConfigPa... | ad99527c1f1ff743d490702e6ac029e67a26f965 | 77,353 |
def stack(*tables, **kwargs):
"""Concatenate tables, without trying to match headers. E.g.::
>>> import petl as etl
>>> table1 = [['foo', 'bar'],
... [1, 'A'],
... [2, 'B']]
>>> table2 = [['bar', 'baz'],
... ['C', True],
... ... | 7035abbceeaa4b2008985ba72bfd43a914d507b9 | 77,354 |
def geomTree(X, k, gamma, n_grid=None, verbose=True):
"""
Construct a level set tree, from soup to nuts. This function assumes a
k-nearest neighbor similarity graph and k-nearest neighbor density estimate,
which is less flexible than building the similarity graphy, estimating the
(pseudo-) density, constructing th... | e94a914e296d5ef8d1f69abe46730186c542a12f | 77,355 |
def make_ratings_hash(ratings):
"""
Make a hashtable of ratings indexed by itemId and pointing to
the vector (genres, decade) that fully characterize an item.
"""
rhash = {}
# For every rating, check if the relevant item is already in the map.
# If not, add it to the map. Key... | e105f08dbdbec544dccdcd299aaf189ef64691b7 | 77,356 |
import importlib
def get_func(func_name):
"""Helper to return a function object by name. func_name must identify a
function in this module or the path to a function relative to the base
'modeling' module.
"""
if func_name == '':
return None
try:
parts = func_name.split('.')
... | 9ac2dbd03cf4c82c00eb1aa8a4ceb2dc39bc2d08 | 77,357 |
def check_repository_modify_status(repo_path):
"""检查仓库是否有文件修改
:param repo_path 仓库路径
:type repo_path str
:example repo_path /tmp/git
:rtype result bool
:return result 检查结果
True 仓库有文件进行了修改未提交
False 仓库没有文件进行了修改
>>> check_repository_modify_status("`pwd`")#doctest: +ELLIPSIS
... | a39e71eff4b6192d287d625a56ae940087e4ead2 | 77,358 |
def hierarchical_cluster(features: np.ndarray, t: float, distance_metric: str = 'cosine',
linkage_method: str = 'average', criterion: str = 'maxclust'):
"""
Perform hierarchical correlation cluster on a given DISTANCE matrix.
Args:
features: A 2D numpy array (N * P). The N ... | ac8d8a3d51bc0be5f88b6afa10dad34e545de539 | 77,359 |
from scipy.ndimage import gaussian_filter
def prepare_image(rgb, crop=None, embed=None, white_cutoff=225, gauss_sigma=5, background=0.01):
""" Transforms rgb image array into 2D-density and energy
Parameters
----------
density : ndarray(width, height)
Probability density
energy : ndarray... | 40dc92bcca7ad2e0b931f83232522a4fd57f9b74 | 77,360 |
def predecessor(self, root):
"""
One step left and then always right
"""
root = root.left
while root.right:
root = root.right
return root.val | 77b22323f4623df3002b9e7d12123d4ee9a98cad | 77,361 |
def create_policy_check(environ, entity, usersign):
"""
Determine if the user in ``usersign`` can create ``entity`` type.
"""
try:
entity_policy = '%s_create_policy' % entity
policy = environ['tiddlyweb.config'][entity_policy]
except KeyError:
raise ForbiddenError('create pol... | 61ec47a0aee97ae134a510ef41767771a680459e | 77,362 |
import tqdm
def load_txt_to_list(file_path, spliter=None, terminator="\n"):
""" Load file.txt by lines, convert it to list. """
txt_list = []
with open(file=file_path, mode='r', encoding='utf-8') as fi:
for i, line in enumerate(tqdm(fi)):
if spliter is None:
line = line... | d908d44242bd2a091a6bb7deb529da23108eab3d | 77,363 |
def agri_sup_frm_sw():
"""
Real Name: b'Agri sup frm SW'
Original Eqn: b'MIN("Agri def aftr ab-bn sup", "Tj Div aftr Ab-bn Spill")'
Units: b''
Limits: (None, None)
Type: component
b''
"""
return np.minimum(agri_def_aftr_abbn_sup(), tj_div_aftr_abbn_spill()) | acd71260641f851312c2bb26ad7890e1bde6b548 | 77,364 |
def _get_lang(lang_name: str):
"""
get language from query parameters
param lang_name: name of the language
return language
"""
lang_manager = LangsManager()
if not lang_manager.is_support_lang(lang_name):
raise ValueError("API not support `lang`={}".format(lang_name))
return ... | 495b7c3224043a036e7f116d165f65407069f584 | 77,366 |
def get_user_orgs_count(user_stats_dict):
""" Gets the count of the orgs that users belong to and populates the onging data structure"""
client_orgs = MongoClient(mongoDB_metrics_connection+to_groups)
db_orgs = client_orgs.groups
orgs_query = db_orgs.groups.find({},{"name":1,"memb.user":1,"_id":0})
... | c8142fa2e39fdd7740c99be91cb26f9207bc1d06 | 77,367 |
def update_graph(gene2graph, cog, signif_struct_info, struct, radius):
"""Updates the residue neighbor graph based on the current structure.
Residues are linked by edges if they are within the provided radius
and are on the same gene.
Parameters
----------
gene2graph : dict
dictionary ... | 0c55cc1053924439df934f96e0b660e5f0731b4d | 77,368 |
import torch
def psnr(
pred: torch.Tensor,
target: torch.Tensor,
data_range: float = None,
base: float = 10.0,
reduction: str = 'elementwise_mean'
) -> torch.Tensor:
"""
Computes the peak signal-to-noise ratio
Args:
pred: estimated signal
target: groun truth signal
... | 9370a233cf9a5a75fb0bcaac51bcedcd14e86f34 | 77,369 |
def get_rules(rules_module):
"""
Get rule functions from module
:param rules_module: module with rules implementations
:return: rule functions
"""
rules = []
for item in dir(rules_module):
if item.startswith("rule"):
rules.append(getattr(rules_module, item))
return ru... | 41b9428f0893a153700a19f4237453af8910a759 | 77,370 |
def format_pun_list(header, entries, footer, *, cnt=1):
"""
Generate the management list of entries.
"""
msg = header
for ent in entries:
msg += '{}) {}\n Hits: {:4d}\n\n'.format(cnt, ent.text, ent.hits)
cnt += 1
msg = msg.rstrip()
msg += footer
return msg | 3393c0f01fba1cef412a5b68e1ca180af86b3693 | 77,371 |
def Btu_hft2F2W_m2K(x):
"""Btu/(h-ft^2-F) -> W/(m^2-K)"""
return 5.678*x | 320d77742f5f62584268e261d145031e2e93c4f3 | 77,372 |
def _collect_module_inputs(module_input_map, extra_inputs, directs, dep):
""" Put together inputs coming from direct and transitive dependencies.
Args:
module_input_map: maps labels of dependencies to all the inputs they require
extra_inputs: an addition depset of inputs to include
directs: i... | 8d4f8906042a31c70042433271e8a31fe857dce6 | 77,373 |
from pathlib import Path
async def delete_note(
note_id: str = Path(..., title="The id of the note to delete")
) -> JSONResponse:
"""Delete a note."""
if (
delete_result := await crud.delete(note_id)
) and delete_result.deleted_count == 1:
return Response(status_code=status.HTTP_204_NO... | 42a9716ed35020c8ffc4b64f33c8b5cdb50c1a0e | 77,374 |
from datetime import datetime
def get_series_datetime(dataset):
""" Return a datetime object containing the Series Date and Series Time, or
None is they are not in the dataset.
"""
series_datetime = None
if "series_date" in dataset :
series_datetime = parse_da(dataset.series_date)... | 18c345256a25af1b213a33be8fcab1fc96ce83e1 | 77,375 |
import requests
def _download_chunk(args):
"""Download a single chunk.
:param args: Tuple consisting of (url, start, finish) with start and finish being byte offsets.
:return: Tuple of chunk id and chunk data
"""
idx, args = args
url, start, finish = args
range_string = '{}-'.format(start... | eb88e1200fff8d336908d2247e12c46576bb4422 | 77,376 |
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