content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
import os
def get_key():
"""
Gets the private key used to access Transcriptic's services.
Returns
-------
str
"""
if TRANSCRIPTIC_KEY is not None:
return TRANSCRIPTIC_KEY
return os.environ['TRANSCRIPTIC_KEY'] | 76213bc4b2a07d24b2f183eaa0fca18dcfec508b | 2,700 |
from typing import Any
def linear_search_while(lst: list, value: Any) -> int:
"""Return the index of the first occurrence of value in lst, or return
-1 if value is not in lst.
>>> linear_search([2, 5, 1, -3], 5)
1
>>> linear_search([2, 4, 2], 2)
0
>>> linear_search([2, 5, 1, -3], 4)
-1... | c90c39148b5c30fbb4f6732e322d03632ad63b39 | 2,701 |
def get_pagerduty_secret_name():
"""
Get name of the PagerDuty secret for currently used addon.
Returns:
string: name of the secret
"""
return config.DEPLOYMENT["addon_name"] + constants.MANAGED_PAGERDUTY_SECRET_SUFFIX | be731e1dcebc3f8a225e249def332abd0d8ea71b | 2,702 |
from typing import Dict
def check_docs(
doc_path: str, recurse: bool = True, max_threads: int = 10, delay: float = 0
) -> Dict[str, Dict[str, UrlResult]]:
"""
Check multiple HTML files in `doc_path`.
Parameters
----------
doc_path : str
Path
recurse: bool
If True, recurse ... | c3cc03a61f633143d03f8bfa1063242de8797bfa | 2,703 |
import os
def create_graph(filepath, nodes_data, legend=False):
"""Visualizes the energy system as graph.
Creates, using the library Graphviz, a graph containing all
components and connections from "nodes_data" and returns this as a
PNG file.
----
Keyword arguments:
filepath : obj:... | 85ef4f541750845ec9147d5faf89c1f89dfa7f31 | 2,704 |
import shlex
import subprocess
def exec_cmd(cmd, secrets=None, timeout=600, ignore_error=False, **kwargs):
"""
Run an arbitrary command locally
Args:
cmd (str): command to run
secrets (list): A list of secrets to be masked with asterisks
This kwarg is popped in order to not in... | be6defec9e131f1d22992cb6dae955fd2372c091 | 2,705 |
def timeParser(dstr):
"""
parse clock time string into array
"""
hh, mm, ss = dstr.split(':')
return np.array([hh, mm, ss]).astype(int) | 3b4f72ceaf4f2e9bd5fc93664d896537ad0f9884 | 2,706 |
import struct
def get_43_ai_core_data(input_file=None):
"""Function for getting datas from aicore: ov/cnt/total_cyc/ov_cyc/pmu_cnt/stream_id."""
result_data = []
with open(input_file, 'rb') as ai_core_file:
while True:
line_ = ai_core_file.read(128)
if line_:
... | 03c9a62a4fd2a2041489cbcb19e2e8e4788e6b0d | 2,707 |
from typing import Type
def get_configuration_class_with_attributes(
klass: Type[AlgorithmConfiguration],
) -> Type[AlgorithmConfiguration]:
"""Get AlgorithmConfiguration with set attributes.
Args:
klass: a class to be used to extract attributes from.
Returns:
a class with the attrib... | ae8ea9b30781854269eb97da6889d1a61ae29935 | 2,708 |
def get_token_symbol(token_address: str):
"""
Gets the token symbol
If not have the external method `symbol` to get the score symbol,
it will raise JSONRPCException.
"""
call = CallBuilder()\
.from_(wallet.get_address())\
.to(token_address)\
.method("symbol")\
.b... | 9c84fbcb893345f701d8ce0d24509dd595139d8c | 2,709 |
def iceil(x):
"""
Return the ceiling of the input, element-wise.
The ceil of the scalar `x` is the smallest integer `i`, such
that `i >= x`. It is often denoted as :math:`\lceil x \rceil`.
Parameters
----------
x : array_like
Input data.
Returns
-------
y : {numpy.nda... | bdc893fe00f073393240b1a861e79c9c4667abc4 | 2,710 |
from typing import Optional
import yaml
def get_repo_version(filename: str, repo: str) -> Optional[str]:
"""Return the version (i.e., rev) of a repo
Args:
filename (str): .pre-commit-config.yaml
repo (str): repo URL
Returns:
Optional[str]: the version of the repo
"""
wit... | 821653bdeb60a86fce83fb3a05609996231ec5d4 | 2,711 |
from typing import Iterator
from typing import Tuple
import torch
def plot_grad_flow(named_parameters: Iterator[Tuple[str, torch.nn.Parameter]]) -> plt.Figure:
"""
Plots the gradients flowing through different layers in the net during training.
Can be used for checking for possible gradient vanishing / ex... | cc0bd23b8cea9359e003cff7c414ce80fcbf5b1b | 2,712 |
from typing import Dict
from typing import Any
def mk_cli_context_settings(
mk_db: CliCtxDbBase.MkFnT,
) -> Dict[str, Any]:
"""Create initial click context parameters for this cli application.
This is currently used as input for autocompletion.
Example:
`@click.group(context_settings=mk_cli_... | 09f232936ef3c09a5c00edada04a31a64058aaad | 2,713 |
import requests
import ast
def get_file_action(header: 'dict[str,str]') -> str:
"""Gets action file form main repo
Args:
header (dict[str,str]): Header with auth token
Raises:
get_aciton_file_e: Raised when no aciton file was collected
Returns:
str: T... | d1c6eb349aea156e2180f5218e247e86a8a60f3c | 2,714 |
from typing import Union
from typing import Callable
import warnings
def sensor(raw_input_shape: StandardizedTensorShape, f: SensorFunction = None,
sensor_id: str = None, history: int = None) \
-> Union[Callable[[SensorFunction], SensorLambda], SensorLambda]:
"""Decorator for creating sensors f... | 0bfa60c70cc43cd0929a8db840469d8fd6ffbac7 | 2,715 |
def convert_event(ui_event):
"""Converts ui.event into ecs.event
This maps keyboard entries into something that the system can handle
TODO: Add a movement system
"""
if isinstance(ui_event, KeyboardEvent):
vim_movement_mapper = {
# Cardinal
KeyboardEvent("h"): vecto... | ecf396823f3bc48fda696abd96a13e34b82a6b06 | 2,716 |
def collection(collection, _pod=None):
"""Retrieves a collection from the pod."""
return _pod.get_collection(collection) | 6d95c9afbcdbb2fe81f71b9d4f17be50aec1aea4 | 2,717 |
def appif(cfg):
"""
Return interface belonging to application
"""
return get_interface_of_network(appnet(cfg)['name']) | e13f7cee8f4785e82bc558500d5d4938a3c728f2 | 2,718 |
def f(x):
"""
Try and have the NN approximate the
xor function.
"""
if x[0] == x[1]:
return 0.
else:
return 1. | 8111e53f0ff0dfdd75f08d845e5176bc287a65e1 | 2,719 |
import pandas
import json
def dataframe_to_list(df: pandas.DataFrame) -> list:
"""
Use caution with datetime columns, as they may not be de/serialized as desired
"""
return json.loads(df.to_json(orient="records")) | 244f76f1970364f13ddf6bb53a6280962d0ae45a | 2,720 |
def decimal_to_binary(integer,nbits=8,grouped=0):
"""Converts integer to binary string of length nbits, sign bit and
then m.s.b. on the left. Negative numbers are twos-complements, i.e.,
bitwise complement + 1."""
# Just remember that minus sign and ignore it
if integer < 0:
negative = True... | 89cef0feaad6d1c25dd67b97a0caf2212ea4a55d | 2,721 |
def line_integrals(state, uloc, vloc, kind="same"):
"""
calculate line integrals along all islands
Arguments:
kind: 'same' calculates only line integral contributions of an island with itself,
while 'full' calculates all possible pairings between all islands.
"""
vs = state.v... | 4a8b32246a9a60d9a42368d7643bc6ddea1c44d0 | 2,722 |
def _BBANDS(kwargs):
"""
布林带
技术参数
-------
使用21天，2倍
"""
df = kwargs.get('df')
limit_start = kwargs.get('limit_start')
limit_end = kwargs.get('limit_end')
ndays = 21
inds = indicators(
'BBANDS', df, timeperiod=ndays).loc[limit_start:limit_end, :]
traces = []
fo... | ee19ee06b5fb6a306f6d43285a616e61584c65a8 | 2,723 |
from typing import Optional
from typing import Iterable
from typing import Tuple
def make_colors(color: OpColor, fill_color: OpColor, colors: Optional[Iterable[OpColor]]) -> Tuple[OpColor, ...]:
"""Creates final colors tuple."""
if colors is None:
return conform_color(color), conform_color(fill_color)... | 8bba1bef72543fb4bd497ada924d23ebf2692f7c | 2,724 |
def print_qa(questions,
answers_gt,
answers_gt_original,
answers_pred,
era,
similarity=dirac,
path=''):
"""
In:
questions - list of questions
answers_gt - list of answers (after modifications like truncation)
a... | 01b44361066668462868abed00f49811e0648d11 | 2,725 |
def recast_to_supercell(z, z_min, z_max):
"""Gets the position of the particle at ``z`` within the simulation
supercell with boundaries ``z_min`` y ``z_max``. If the particle is
outside the supercell, it returns the position of its closest image.
:param z:
:param z_min:
:param z_max:
:retur... | 2d144a656a92eaf3a4d259cf5ad2eadb6cfdf970 | 2,726 |
def list_services(request):
""" Should probably move this to an Ajax JSON request like the probe. """
if request.method == "POST":
action = request.POST.get("action")
sid = request.POST.get("id")
logger.debug(f"-- action: {action} sid: {sid}")
if action == "delete":
l... | bd4d9b9dd9300c127b97fb838aa5085979904701 | 2,727 |
from typing import Union
from pathlib import Path
def open_sat_data(
zarr_path: Union[Path, str],
convert_to_uint8: bool = True,
) -> xr.DataArray:
"""Lazily opens the Zarr store.
Args:
zarr_path: Cloud URL or local path pattern. If GCP URL, must start with 'gs://'
"""
_log.debug("Open... | ccc79f02bb086b552f69d2e8f9440f02ef121b95 | 2,728 |
from typing import List
from typing import Optional
import io
import csv
async def get_pedigree(
internal_family_ids: List[int] = Query(None),
response_type: ContentType = ContentType.JSON,
replace_with_participant_external_ids: bool = True,
replace_with_family_external_ids: bool = True,
include_h... | 5ecf064d82a6391d3ed025aeac2bf070710d5ebe | 2,729 |
def lang_string_set_to_xml(obj: model.LangStringSet, tag: str) -> etree.Element:
"""
serialization of objects of class LangStringSet to XML
:param obj: object of class LangStringSet
:param tag: tag name of the returned XML element (incl. namespace)
:return: serialized ElementTree object
"""
... | f49a1d73f1fd4354c245427bc1277600c67a5d99 | 2,730 |
def grasp_from_contacts(contact1,contact2):
"""Helper: if you have two contacts, this returns an AntipodalGrasp"""
d = vectorops.unit(vectorops.sub(contact2.x,contact1.x))
grasp = AntipodalGrasp(vectorops.interpolate(contact1.x,contact2.x,0.5),d)
grasp.finger_width = vectorops.distance(contact1.x,contac... | 945ff950a59b1442efc6abdce68861957b0a60a7 | 2,731 |
import random
def choose_move(data: dict) -> str:
"""
data: Dictionary of all Game Board data as received from the Battlesnake Engine.
For a full example of 'data', see https://docs.battlesnake.com/references/api/sample-move-request
return: A String, the single move to make. One of "up", "down", "lef... | 62d663720c4592c6e97215cd6e4ec772f3038ae2 | 2,732 |
import os
def get_fremont_data(filename='Fremont.csv', url=FREMONT_URL,
force_download=False):
"""Download and cache the fremont data
Parameters
----------
filename : string (optional)
location to save the data
url : string (optional)
web location of t... | 28a2abdf390f42964aebe058206c77f3e51a0d88 | 2,733 |
def boolean_dumper(dumper, value):
"""
Dump booleans as yes or no strings.
"""
value = u'yes' if value else u'no'
style = None
return dumper.represent_scalar(u'tag:yaml.org,2002:bool', value, style=style) | 40a6a270d1ad1a289947c064c7f85edb1d589bb7 | 2,734 |
def preprocess_data_4_catboost(data_df, output_path=None):
"""
preprocess data for working with gradient boosting techniques
specifically with the catboost library. since this is going to use
the preprocessing built into the catboost library there are slightly
different steps to be done
"""
... | 9bc60ca096963fe6fb8a30e19442d870694f1339 | 2,735 |
def conv_current_to_electrons_second(current):
"""
Convert a current in Amps to a number of
electrons per second.
"""
return int(current / const.electron_charge) | 76051a529c230b54a6d07f282c97b48d4ea59758 | 2,736 |
import json
def get_users():
"""
Use urllib3 to make a REST call to get list of Okta
Users for a given Okta Application
"""
request_url = f"{OKTA_URL}/apps/{OKTA_APP_ID}/users"
okta_users_request = HTTP.request(
'GET',
request_url,
headers={'Content-Type': 'application/... | b94816de46d843a3a80a53c569d52b17e142d4e9 | 2,737 |
def n_sample_per_class_train_set(df, n_samples=3, class_column="category"):
"""
returns a subset of the provided df that contains n_samples instances of each class
:param df: panda dataframe that contains hidden_reps with class labels
:param n_samples: number of samples per class
:param class_column: column w... | 107d9845b8e5efb3da09f13d11ae796fc560b874 | 2,738 |
def clip_count(cand_d, ref_ds):
"""Count the clip count for each ngram considering all references."""
count = 0
for m in cand_d.keys():
m_w = cand_d[m]
m_max = 0
for ref in ref_ds:
if m in ref:
m_max = max(m_max, ref[m])
m_w = min(m_w, m_max)
count += m_w
return count | f33ad8c5a9de8e136ea97684de3bd64779471bb6 | 2,739 |
def container_wrapper(directive, literal_node, caption, classes):
"""adapted from
https://github.com/sphinx-doc/sphinx/blob/master/sphinx/directives/code.py
"""
container_node = docutils.nodes.container(
'', literal_block=True, classes=classes) # ['literal-block-wrapper']
parsed = docutils.... | 17e9db3f494174a721cd80c179514bbc3db773c1 | 2,740 |
def get_current_and_next_quarters(request, num):
"""
Returns the current and next num uw_sws.models.Term objects in a list
for the current quarter refered in the user session. Returns the next
num -1 quarters along with the current one.
"""
term = get_current_quarter(request)
quarters = [ter... | 26f5d268148d3f0395d1d41739d51b1f06a0bd6a | 2,741 |
from typing import Tuple
from typing import Dict
def _create_metadata_from_dat_df(
csv_df: pd.DataFrame,
) -> Tuple[Dict[int, tuple], Pitch]:
"""Creates meta information from the CSV file as parsed by pd.read_csv().
Parameters
----------
csv_df: DataFrame
Containing all data from the posi... | d53e66ff343c2391058e2717dde5bbe7c11a2c44 | 2,742 |
def main():
"""
Main function used in script, primarily used as a handle
to get the output into stdout.
"""
# There are no args, but parse them just so help works
print(process_files_json(), end="")
return None | 495af3e19cdd823ee6853f516b17df0c489f34f9 | 2,743 |
import torch
import os
import time
from datetime import datetime
import sys
def train_generator(train_loader, test_loader, num_epoch=500,
lr=0.0001, beta1=0.9, beta2=0.999):
"""Train a generator on its own.
Args:
train_loader: (DataLoader) a DataLoader wrapping the training datase... | 714b6f9a9e21cda960430a2458fdc939fb48f36b | 2,744 |
def expand(doc, doc_url="param://", params=None):
"""
ASSUMING YOU ALREADY PULED THE doc FROM doc_url, YOU CAN STILL USE THE
EXPANDING FEATURE
USE mo_json_config.expand({}) TO ASSUME CURRENT WORKING DIRECTORY
:param doc: THE DATA STRUCTURE FROM JSON SOURCE
:param doc_url: THE URL THIS doc CAME... | d8a8045cb6afea089f1241dc1a47bf6c95fc3628 | 2,745 |
def get_model_creator(hparams):
"""Get the right model class depending on configuration."""
if hparams.architecture == 'peng':
model_creator = model.Model
"""vanilla lstm, seq2seq"""
return model_creator | 84c65108e6be1a723184778db564b75ea333d52f | 2,746 |
import unittest
def extra():
"""Tests faint.extra. That is, less central faint code, possibly
requiring extensions (e.g. tesseract or GraphViz dot).
"""
return unittest.defaultTestLoader.discover("py_tests/test_extra",
top_level_dir="py_tests/") | c6fc2694144e852edaef219d95bc384b5b394d7d | 2,747 |
def cmd_te_activate(abs_filename):
"""最前面に持ってくる（テキストエディタ向け）
ファイルが含まれるVisual Studioを探し出して最前面に持ってくる。
abs_filename- ファイル名の絶対パス
(Ex.) c:/project/my_app/src/main.cpp
"""
return _te_main2(cmd_activate,abs_filename) | 2a4922c89360f049c50cc2b2b81509c48d32968e | 2,748 |
def search(search_domain, fmt=None):
"""Handle redirect from form submit."""
domain = tools.parse_post_data(search_domain)
if domain is None:
return handle_invalid_domain(search_domain)
if fmt is None:
if features.enable_async_search():
return flask.redirect('/search?ed={}'... | 4be9a751fad12fae67a34b7c4bda2b2be3d7ff89 | 2,749 |
def get_graph_from_particle_positions(
particle_positions, box_lengths, cutoff_distance, store_positions=False
):
"""Returns a networkx graph of connections between neighboring particles
Args:
particle_positions (ndarray or dataframe): Shape
(`n_particles`, `n_dimensions`). Each of ... | a51ecbfd83fe08ae07f4e6952f2796eba9f79f0a | 2,750 |
import numpy as np
def cca(x,y):
""" canonical correlation analysis cca
wx, wy, r = cca(x,y) returns wx, wy two matrices which columns [:,i] correspond to the canonical weights (normalized eigenvectors) and a vector r containing the canonical correlations, all sorted in decreasing order. cca assumes... | f0d734fc927789d6ecca0685a85f727e48b334df | 2,751 |
from pathlib import Path
def get_assay_table_path(dataset: TemplateDataset, configuration: dict) -> Path:
"""Retrieve the assay table file name that determined as a valid assay based on configuration.
Specifically, defined in subsection 'ISA meta'
:param dataset: A dataset object including a metadata com... | 57efa60ec4e3b6d16bfa39a28b9057aa864c2506 | 2,752 |
def train_models(vae, emulator, em_lr, vae_lr, signal_train, dataset, val_dataset,
epochs, vae_lr_factor, em_lr_factor, vae_min_lr, em_min_lr, vae_lr_patience, em_lr_patience,
lr_max_factor, es_patience, es_max_factor):
"""
Function that train the models simultaneously
:par... | a3301f178aade90cb5a5b441ccf7607e2f13c776 | 2,753 |
def get_next_term(cfg):
"""
Gets the next term to be added.
Args:
cfg: Expression config
"""
term = {}
if np.random.choice(['quantity', 'number'], p=[cfg.ratio, 1 - cfg.ratio]) == 'quantity':
idx = np.random.choice(range(len(cfg.quants)))
if cfg.reuse:
term['... | edaf22a93ce1a0c51f4193c3ea022202c8bbaaef | 2,754 |
def demand_share_per_timestep_constraint_rule(backend_model, group_name, carrier, timestep, what):
"""
Enforces shares of demand of a carrier to be met by the given groups
of technologies at the given locations, in each timestep.
The share is relative to ``demand`` technologies only.
.. container::... | 65cfc120a9a7a5f26b4057a21b7a38a32a335955 | 2,755 |
def b2str(data):
"""Convert bytes into string type."""
try:
return data.decode("utf-8")
except UnicodeDecodeError:
pass
try:
return data.decode("utf-8-sig")
except UnicodeDecodeError:
pass
try:
return data.decode("ascii")
except UnicodeDecodeError:
... | 05cbe6c8072e1bf24cc9ba7f8c8447d0fa7cbf7f | 2,756 |
def plotalphaerror(alphaarr,errorarr,errorlagarr):
""" This will plot the error with respect then alpha parameter for the
constraint.
"""
sns.set_style('whitegrid')
sns.set_context('notebook')
Nlag=errorlagarr.shape[-1]
nlagplot=4.
nrows=1+int(sp.ceil(float(Nlag)/(2*nlagp... | e87c771212a3e39b1f4d7a1a74fc18c1d2e85f87 | 2,757 |
def fill_space(space, dim, size, minval, maxval, factor):
"""Fill a dim-dimensional discrete space of ℕ^{size} with
some random hyperplane with values ranging from minval to
maxval. Returns a ℕ^{size} array. Changes space in-place."""
offsets=[np.array([0]*dim)]
return ndim_diamond_square_rec(space, dim, size, of... | 7744cb465438b40019f3edae9db04143b16d19b1 | 2,758 |
def fracorder_lowshelving_eastty(w1, w2, G1, G2, rB=None):
"""
Parameters
----------
w1: float
Lower corner frequency.
w2: float
Upper corner frequency.
G1: float
Target level at lower corner frequency in dB.
G2: float
Target level at upper corner frequency in... | 379a87b024ff993c0abf0b75a482a8ab66a67546 | 2,759 |
def get_cookie_date(date):
"""
Return a date string in a format suitable for cookies (https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Date)
:param date: datetime object
:return: date string in cookie format
"""
return date.strftime("%a, %d %b %Y %H:%M:%S GMT") | f2b4d6decab72cf1f25754bc7e290f62eae92156 | 2,760 |
def fill_block_with_call(newblock, callee, label_next, inputs, outputs):
"""Fill *newblock* to call *callee* with arguments listed in *inputs*.
The returned values are unwraped into variables in *outputs*.
The block would then jump to *label_next*.
"""
scope = newblock.scope
loc = newblock.loc
... | 76e9edbeca59a75d9854e6ffa2d02658da7511ab | 2,761 |
from typing import Dict
from typing import List
import sys
import json
def terraform_write_variables(configs: Dict, variables_to_exclude: List) -> str:
"""Write out given config object as a Terraform variables JSON file.
Persist variables to Terraform state directory. These variables are used
on apply /... | f8ab21569328e0f1a9a30a177ad30ec2ad44b62f | 2,762 |
def data_context_service_interface_pointuuid_media_channel_service_interface_point_spec_mc_pool_available_spectrumupper_frequencylower_frequency_frequency_constraint_get(uuid, upper_frequency, lower_frequency): # noqa: E501
"""data_context_service_interface_pointuuid_media_channel_service_interface_point_spec_mc_p... | 412f0b48a050e9201e6d52450a04a6bef0f4a0f3 | 2,763 |
def image_to_string(filename):
"""Generate a string representation of the image at the given path, for embedding in code."""
image = pyglet.image.load(filename)
data = image.get_data('LA', 16)
s = ''
for x in data:
s += "\\x%02x" % (ord(x))
return s | 19dea26d51dd29449759c5e1a3b4c9fc098702f3 | 2,764 |
def mpf_connectome(
mc, num_sampled, max_depth, args_dict, clt_start=10, sr=0.01, mean_estimate=False
):
"""Perform mpf statistical calculations on the mouse connectome."""
args_dict["max_depth"] = max_depth
args_dict["total_samples"] = num_sampled[0]
args_dict["static_verbose"] = False
args_dic... | 6ae8ddb7c3355ddbf072a5bf97f57fe4e13b500e | 2,765 |
def valuedict(keys, value, default):
"""
Build value dictionary from a list of keys and a value.
Parameters
----------
keys: list
The list of keys
value: {dict, int, float, str, None}
A value or the already formed dictionary
default: {int, float, str}
A defa... | 44283bac3be75c3569e87a890f507f7cff4161b6 | 2,766 |
async def chunks(request):
"""A handler that sends chunks at a slow pace.
The browser will download the page over the range of 2 seconds,
but only displays it when done. This e.g. allows streaming large
files without using large amounts of memory.
"""
async def iter():
yield "<html><hea... | 590fe83c5ee53c603b973063e0e077ab87a220ae | 2,767 |
import os
import subprocess
import json
def start_vitess():
"""This is the main start function."""
topology = vttest_pb2.VTTestTopology()
keyspace = topology.keyspaces.add(name='user')
keyspace.shards.add(name='-80')
keyspace.shards.add(name='80-')
keyspace = topology.keyspaces.add(name='lookup')
keysp... | 3643c780118aaa72485b059a34891d938aff7328 | 2,768 |
def get_zero_ranges(*args):
"""
get_zero_ranges(zranges, range) -> bool
Return set of ranges with zero initialized bytes. The returned set
includes only big zero initialized ranges (at least >1KB). Some zero
initialized byte ranges may be not included. Only zero bytes that use
the sparse storage method (S... | bd95dbb237ca0b2934e8653b1198d10d25abc553 | 2,769 |
def fista_step(L, Wd, X, alpha, last_Z):
"""
Calculates the next sparse code for the FISTA algorithm
Dimension notation:
B - Number of samples. Usually number of patches in image times batch size
K - Number of atoms in dictionary
d - Dimensionality of atoms in dictionary
... | 6e237a01e631d08efcc425068c646b792d984cdd | 2,770 |
def get_and_validate_certs_for_replacement(
default_cert_location,
default_key_location,
default_ca_location,
new_cert_location,
new_key_location,
new_ca_location):
"""Validates the new certificates for replacement.
This function validates the new specified certi... | 9a4a3b46609fc1e5e7cc525b84397b9adba86b32 | 2,771 |
def build_model(cfg):
"""
Built the whole model, defined by `cfg.model.name`.
"""
name = cfg.model.name
return META_ARCH_REGISTRY.get(name)(cfg) | b106eca0f110007cb852dce9760e5e0ee08940a8 | 2,772 |
def download_n_parse_3k(url):
"""
Gets the article's metadata
Args:
url: The article's URL
"""
article3k = Article(url)
try:
article3k.download()
article3k.parse()
except Exception:
print(f"Download or Parse:\t{url}")
return
return article3k.text | fa63fc7c03b63c5e08004d61488074be538c714b | 2,773 |
def crop_to_square(img, target_size=None):
"""
Takes numpy array img and converts it to a square by trimming
:param img: np.array representing image
:param target_size: optionally specify target size. If None, will return min(l, w) x min(l, w)
:return: np.array
"""
l, w = img.shape
img_c... | 2ad566c7d0a0c719ff207bc06d33e70208a7a03f | 2,774 |
def reboot(name, path=None):
"""
Reboot a container.
path
path to the container parent
default: /var/lib/lxc (system default)
.. versionadded:: 2015.8.0
CLI Examples:
.. code-block:: bash
salt 'minion' lxc.reboot myvm
"""
ret = {"result": True, "changes... | 2519f9ad5434dbb9ff0a48f5280483829584ebb1 | 2,775 |
import networkx
def find(domain):
""" Finds connected domains within a domain.
A domain is defined to be a connected region of lattice
points, subject to periodic boundary conditions.
Parameters
----------
domain : :py:class:`~fieldkit.mesh.Domain`
The set of nodes to seek connected ... | 3ea2128f84104686be88d359cda3df2554013f41 | 2,776 |
def url_to_license(url):
"""Given a URL, return the license as a license/version tuple"""
(scheme, netloc, path, *remainder) = urlparse(url)
path_parts = path.split('/')
if len(path_parts) < 4:
raise LicenseException("Did not get 4 path segments, probably not a CC license URL")
license = pa... | e6ae2d67f1dbd02c0fe0885231dbac4ae112b0d3 | 2,777 |
def dsystem_dt(request):
"""Test systems for test_discrete"""
# SISO state space systems with either fixed or unspecified sampling times
sys = rss(3, 1, 1)
# MIMO state space systems with either fixed or unspecified sampling times
A = [[-3., 4., 2.], [-1., -3., 0.], [2., 5., 3.]]
B = [[1., 4.],... | faaf22165fc147955b69b1d983fbc37dafb34772 | 2,778 |
import types
def update_attributes(dsFolder: types.GirderModel, data: dict):
"""Upsert or delete attributes"""
crud.verify_dataset(dsFolder)
validated: AttributeUpdateArgs = crud.get_validated_model(AttributeUpdateArgs, **data)
attributes_dict = fromMeta(dsFolder, 'attributes', {})
for attribute_... | d58dfecf68822d4b45688ea16ec39e97e999d458 | 2,779 |
def machado_et_al_2009_matrix_protanomaly(severity):
"""Retrieve a matrix for simulating anomalous color vision.
:param cvd_type: One of "protanomaly", "deuteranomaly", or "tritanomaly".
:param severity: A value between 0 and 100.
:returns: A 3x3 CVD simulation matrix as computed by Machado et al
... | a99a07a7f447fc741ee1a4bd239bda5ed8079e6b | 2,780 |
def derivative_compliance(coord, connect, E, v, rho, alpha, beta, omega_par, p_par, q_par, x_min_m, x_min_k, xval, disp_vector, lam):
""" calculates the derivative of the compliance function.
Args:
coord (:obj:`numpy.array`): Coordinates of the element.
connect (:obj:`numpy.array`): Element con... | 2d6e9467c410c3960fb149cb20a306cff85374e5 | 2,781 |
def test_status_string(app, authed_client, status_code, status):
"""The status string should populate itself based on status code."""
@app.route('/test_endpoint')
def test_endpoint():
return flask.jsonify('test'), status_code
response = authed_client.get('/test_endpoint')
assert response.g... | 2af688a5f0db42ae2ad13eae86a09a04b3745b07 | 2,782 |
def lanc(numwt, haf):
"""Generates a numwt + 1 + numwt lanczos cosine low pass filter with -6dB
(1/4 power, 1/2 amplitude) point at haf
Parameters
----------
numwt : int
number of points
haf : float
frequency (in 'cpi' of -6dB point, 'cpi' is cycles per interval.
... | bcfc9dac83fa517a7a564b1d58aba4e4d901b828 | 2,783 |
from ete3 import NCBITaxa
def normalize_target_taxa(target_taxa):
"""
Receives a list of taxa IDs and/or taxa names and returns a set of expanded taxids numbers
"""
ncbi = NCBITaxa()
expanded_taxa = set()
for taxon in target_taxa:
taxid = ""
try:
taxid = int(taxon... | cc88ba730495fea54bbab86eb83521d88da692fc | 2,784 |
import types
def filled (a, value = None):
"""a as a contiguous numeric array with any masked areas replaced by value
if value is None or the special element "masked", get_fill_value(a)
is used instead.
If a is already a contiguous numeric array, a itself is returned.
filled(a) can be used to be... | aabc4772cc4f318d794ef509f22a54116c14764c | 2,785 |
import configparser
def get_generic_global(section, prop):
"""Generic getter for getting a property"""
if section is None:
raise GlobalPropertyError("Section cannot be null!")
elif prop is None:
raise GlobalPropertyError("Property cannot be null!")
global_conf = configparser.ConfigP... | 09e87d4f915e0591193a57505ad9a8e5d28d271e | 2,786 |
def get_mspec_descriptors(mod, mod_lim=20, freq_lim=8000, n_mod_bin=20, n_freq_bin=20):
"""
Parameters
----------
mod : 2D Numpy array
Modulation spectrogram
mod_lim : int
Upper limit of modulation frequency. The default is 20.
freq_lim : int
Upper limit of frequency. Th... | 0a5fd0739d46ec6fa4539d96ed406dfcf540f2d2 | 2,787 |
def mustachify(
file,
mustache_file="mustache.png",
rotation=True,
perspective=False, # TODO add perspective transformation
modelsize="small",
):
"""
Pastes a mustache on each face in the image file
:param file: image file name or file object to load
:param mustache_file: file... | f1ae14f813b15a685c5c8e2d8c0a8e38629284d5 | 2,788 |
import subprocess
def get_available_gpus():
"""Return a list of available GPUs with their names"""
cmd = 'nvidia-smi --query-gpu=name --format=csv,noheader'
process = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE,
stderr=subprocess.PIPE)
stdout, _ = process.co... | 9ef81b08aad25e0109604cdd538b5c9e6902c4d1 | 2,789 |
def register_image_array(img, img_name, img_desc, project_id, sample_id, usr, pwd, host, port=4064):
"""
This function imports a 5D (time-points, channels, x, y, z) numpy array of an image
to an omero server using the OMERO Python bindings
Example:
register_image_array(hypercube, "tomo_0", "thi... | 2dec56554280a45e2421192e95896683743939aa | 2,790 |
def count_symbols (val):
""" Counts the number of symbols in a string.
A symbol is defined as any character that is neither a lowercase letter, uppercase letter or digit.
Args:
val (str): The string to count symbols in.
Returns:
int: The number of symbols in the string.
"""
re... | 6c96454cf6a508942719458ba2c28644ffaa6d7d | 2,791 |
import math
def arctan(dy, dx):
""" Returns the arctan of angle between 0 and 2*pi """
arc_tan = math.atan2(dy, dx)
if arc_tan < 0:
arc_tan = arc_tan + 2 * np.pi
return arc_tan | e3b8d35f97b25983a9ba05f306a45c2852ae2b42 | 2,792 |
def meshsize(mesh: dolfin.Mesh,
kind: str = "cell") -> dolfin.MeshFunction:
"""Return the local meshsize `h` as a `MeshFunction` on cells or facets of `mesh`.
The local meshsize is defined as the length of the longest edge of the cell/facet.
kind: "cell" or "facet"
"""
if kind not in ... | 8cd66227ab46acb85c9ea8907e0164eee142a9ae | 2,793 |
def dep_graph_parser_parenthesis(edge_str):
"""Given a string representing a dependency edge in the 'parenthesis'
format, return a tuple of (parent_index, edge_label, child_index).
Args:
edge_str: a string representation of an edge in the dependency tree, in
the format edge_label(parent_wor... | a3f96ebec6fdcb00f3f64ea02e91147df16df196 | 2,794 |
def measure_crypts_props_no_paneth(crypt_objs, label_mask, edu_objs, df, row, col, fld):
"""Measure crypt level properties for all crypts in image
Args:
crypt_objs (array): labeled cell objects (e.g. nuclei segmentation)
label_mask (array): labeled crypt objects
edu_objs (list): ids of cell obje... | 28e689a3812cceb5d3165b92d286965b397f6ef1 | 2,795 |
import math
def intersection_angle(m1, m2):
"""
Computes intersection angle between two slopes.
"""
return math.degrees(math.atan((m2-m1) / (1+m1*m2))) | 244192d3d1fe74130d64350606e765d8f2d4831b | 2,796 |
import click
from pathlib import Path
def create_zappa_project(
project_name, stack_name, session, client, username, email, password
):
"""Create the Zappa project."""
aws_rds_host = get_aws_rds_host(stack_name, session)
with open('.env', 'a') as file:
file.write('AWS_RDS_HOST={}\n'.format(aw... | 0b5d9dd0f74604b96cb39ef131c46480d5a0b84f | 2,797 |
import os
def erase_create_HDF(filename):
"""Create and return a new HDS5 file with the given filename, erase the file if existing.
See https://github.com/NelisW/pyradi/blob/master/pyradi/hdf5-as-data-format.md
for more information on using HDF5 as a data structure.
open for writing, truncate if exi... | 04539ee0f5a8de817265285c3396c85eeda907b4 | 2,798 |
def cast2dtype(segm):
"""Cast the segmentation mask to the best dtype to save storage.
"""
max_id = np.amax(np.unique(segm))
m_type = getSegType(int(max_id))
return segm.astype(m_type) | e877502f8a7d6c8e212338d2edf74bafc051e051 | 2,799 |
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