content stringlengths 22 815k | id int64 0 4.91M |
|---|---|
def rand_replace(rep_fun):
"""
Wrapper of contrastive sample generate functions.
"""
def gen_neg_subwords(example, tokenizer, cont_ent_idx, auxiliary_json=None, max_seq_len=128):
cont_example = copy.deepcopy(example)
entities = cont_example.entities
if not entities:
... | 69,500 |
def locate_ellipsoid(frame, spacing=1, rad_range=None, maxfit_size=2,
spline_order=3, threshold=0.1):
"""Locates an ellipsoid in a 3D image and returns center coordinates and
radii along x, y, z. The function fully analyzes the vesicle.
Parameters
----------
image3d: 3D ndarray... | 69,501 |
def _hist_bin_sturges(*input_data):
"""
Sturges histogram bin estimator.
A very simplistic estimator based on the assumption of normality of
the data. This estimator has poor performance for non-normal data,
which becomes especially obvious for large data sets. The estimate
depends only on size ... | 69,502 |
def test_rn_validation_valid_number_is_really_valid():
"""Test if a valid number is really valid"""
valid_number = '200400401'
assert rn.start(valid_number) | 69,503 |
def dialog_response(attributes, endsession):
""" create a simple json response with card """
return {
'version': '1.0',
'sessionAttributes': attributes,
'response':{
'directives': [
{
'type': 'Dialog.Delegate'
}
... | 69,504 |
def generate_c(repository):
"""
Generate a repository with some example data.
:param repository: Repository to generate. Must not already exist.
"""
from splitgraph.core.engine import repository_exists
if repository_exists(repository):
raise click.ClickException(
"Repositor... | 69,505 |
def zero_auth(start, end, delta):
""" Ciclo per produrre tutti i secondi della giornata """
current = start
while current < end:
yield current
current += delta | 69,506 |
def infer_optimal_calib(input_files, model_wrappers, image_shape, half):
"""
Process a single input file to produce and save visualization
Parameters
----------
input_file : list (number of cameras) of lists (number of files) of str
Image file
output_file : str
Output file, or f... | 69,507 |
def canpickle(obj):
"""
Determine if object can be pickled
:returns: `bool`
"""
import os
try:
from cPickle import UnpickleableError as unpick_error
import cPickle as pickle
from cPickle import PicklingError as unpick_error_2
except ImportError:
import pickl... | 69,508 |
def define_integrals_app(crd: CRDFileProcessor, logy: bool = True) -> None:
"""Create a PyQt5 app for defining integrals.
:param crd: CRD file to calibrate for.
:param logy: Should the y axis be logarithmic? Defaults to True.
"""
app = QtWidgets.QApplication(sys.argv)
window = DefineIntegrals(c... | 69,509 |
def create_parser():
"""
Read in the cmd line arguments 'data' arg is the data set
which shall be used.
"""
parser = argparse.ArgumentParser()
parser.add_argument("data")
args = parser.parse_args()
return args | 69,510 |
def bring_to_normal():
""" Returns any previous settings for system state and display back to normal.
System state may go to idle and display may turn off if no user activity
"""
if os.name == 'nt':
windll.kernel32.SetThreadExecutionState(ES_CONTINUOUS) | 69,511 |
def getMetadata(path, filename):
"""
Get the metadata for a specified file.
Returns a JSON as follows:
{
hits: [
{metadata for file}
...
]
}
This will usually only be one hit.
"""
token = authenticate()
url = "http://{}:{}/query_metadata?project=\"{}\"&source=\"{}\"&Path=\"{}\"&filename=\"{}\"".forma... | 69,512 |
def api_cert_info():
""" Return a JSON with the certificate info """
with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
cert_list = []
for hostinfo in executor.map(lambda x:
get_certificate(x[0], int(x[1])),
... | 69,513 |
def mbed_os_support():
"""! Function used to determine if host OS is supported by mbed-lstools
@return Returns None if host OS is not supported else return OS short name
@details This function should be ported for new OS support
"""
result = None
os_info = mbed_lstools_os_info()
if (os_inf... | 69,514 |
def sub_field(k, v):
"""Return a nested dictionary with field keys k and value v."""
res = {}
field_d = res
fields = k.split('.')
for f in fields[:-1]:
field_d[f] = {}
field_d = field_d[f]
field_d[fields[-1]] = v
return res | 69,515 |
def mkkekz(u_t, v_t, wap, utt, vtt, p_l, lat, nlat, ntp, nlev):
"""Compute the zonal mean - eddy KE conversions from u and v.
Arguments:
- u_t: a 3D zonal velocity field;
- v_t: a 3D meridional velocity field;
- wap: a 3D vertical velocity field;
- utt: a climatological mean 3D zonal velocity f... | 69,516 |
def sieve5(n):
"""Return a list of the primes below n."""
"""from http://codereview.stackexchange.com/questions/42420/sieve-of-eratosthenes-python"""
prime = [True] * n
result = [2]
append = result.append
sqrt_n = (int(n ** .5) + 1) | 1 # ensure it's odd
for p in range(3, sqrt_n, 2):
... | 69,517 |
def make_chapter_xml((time,name)):
""" Creates the xml for the chapter """
chapter = Template("""
<ChapterAtom>
<ChapterTimeStart>$time</ChapterTimeStart>
<ChapterDisplay>
<ChapterString>$name</ChapterString>
<ChapterLanguage>eng</ChapterLanguage>
</ChapterDisplay>
</Ch... | 69,518 |
def dropout(input, rate=.5, noise_shape=None, training=False, name=None):
"""
Apply dropout on `input`.
Args:
input (Tensor): The input tensor.
rate (float or tf.Tensor): The rate of dropout.
noise_shape (tuple[int] or tf.Tensor): Shape of the noise.
If not specified, us... | 69,519 |
def refresh_pkce_token(
client_id: str,
refresh_token: str
) -> RefreshingToken:
"""
Request a refreshed PKCE user token.
Parameters
----------
client_id
client ID
refresh_token
refresh token
Returns
-------
RefreshingToken
automatically refreshing u... | 69,520 |
def convert_physio(ds, dest_dir, physio_stub, verbose=False):
"""
Purpose
----
Read physio data from a CMRR Multiband generated DICOM file (DICOM spectroscopy format)
Current CMRR MB sequence version : VE11C R016a
Adapt parsing logic from extractCMRRPhysio.m. Also see adolphslab/mriphysio/dcm2ph... | 69,521 |
def jsonify_new_book(book):
"""return json object of newly uploaded book"""
book_data = {'book_id': book.book_id,
'title': book.title,
'author': book.author,
'image_url': book.image_url,
'genre': book.genre,
'description': book.des... | 69,522 |
def build_smod(builder, a, b, name):
"""Builds expression for signed int modulo."""
rem = BuildSRem(builder, a, b, "")
neg_rem = BuildMul(builder, rem, ConstInt(TypeOf(rem), -1, True), "")
return BuildSelect(builder, _mod_scale(builder, a, b), neg_rem, rem, name) | 69,523 |
def upload_indicators_command(
client: QRadarClient,
ref_name=None,
element_type=None,
timeout_type=None,
query=None,
time_to_live=None,
limit=1000,
page=0,
):
"""
Finds indicators according to user query and updates QRadar reference set
Returns:
(string, dict). Huma... | 69,524 |
def test_lsun_zip():
"""
Feature: LSUN
Description: test basic usage of LSUN
Expectation: the dataset is as expected
"""
logger.info("Test Case zip")
# define parameters
repeat_count = 2
# apply dataset operations
data1 = ds.LSUNDataset(DATA_DIR, num_samples=10)
data2 = ds.L... | 69,525 |
def create_stream(context=None):
""" create a stream.
.. note::
case 1. context is None. Get the context and create a new stream.
case 2. context is not None. Create a new stream on existing context.
Args:
context (int): If context is None, it will get context and then create a stre... | 69,526 |
def get_prediction(model, batch, device):
"""Get predicted labels for given input batch and model."""
images = torch.tensor(batch, dtype=torch.float).to(device)
outputs = model(images)
_, predicted = torch.max(outputs.data, 1)
return predicted | 69,527 |
def parse_args(input_args, parser, allow_unknown=True):
"""Parse an argument list using parser generated by create_parser()
Parameters
----------
input_args: list
A list of arguments
Returns
-------
args: argparse.Namespace
A simple object storing the input arguments
un... | 69,528 |
def test_HVAC_Average_watts_for_small_time_frame(typicalHvac: HVAC):
"""Tests the The average watts per second calculation
Arguments:
typicalHvac {HVAC} -- the hvac test fixture object
"""
typicalHvac.TurnCoolingOn()
typicalHvac.SimulateOneSecond()
typicalHvac.SimulateOneSecond()
typicalHvac.SimulateOneSecon... | 69,529 |
def keep_points_outside_shape(xy_iterable, shape, exclusion_buffer):
"""From an iterable of (x, y) iterables, select points outside a shapely shape, with an exclusion buffer (positive)"""
return [
np.array(xy, dtype=np.float32)
for xy in xy_iterable
if not shape.buffer(exclusion_buffer).... | 69,530 |
def testing_gallery(tmpdir):
"""Testing gallery with two albums:
- testing-album
- album-incomplete (without album metadata in album.ini)
Both galleryes contain four photos: Photo{1..4}.jpg
"""
shutil.copy(os.path.join(DATA_PATH, 'gallery.ini'), str(tmpdir))
_create_album(tmpdir, 'testing-al... | 69,531 |
def ControlsAreSame(control1, control2):
"""return 1 if control1 and control2 are the same control, otherwise return 0"""
return _AutomationClient.instance().dll.CompareElements(control1.Element, control2.Element) | 69,532 |
def close():
"""
Close all pool connections and shutdown the pool.
"""
global db_pool
db_pool.close()
return db_pool | 69,533 |
def check_sorting(previous_chrom, previous_pos, current_chrom, current_pos):
"""docstring for check_sorting"""
pass | 69,534 |
def create_app(test_config=None):
"""create and configure the app"""
app = Flask(__name__, instance_relative_config=True)
app.secret_key = os.urandom(12) # Generic key for dev purposes only
# ======== Routing ============================= #
# -------- Home -------------------------------- #
@a... | 69,535 |
def create_dir_structure(directory_path,
create_sub_dir):
"""
Creates required directory structures inside the parent
directory figures.
Args:
directory_path: string
Given path that already exists.
create_sub_dir: string
Sub dir... | 69,536 |
def build_optimizer(network, optimizer:str, learning_rate:float):
"""Optimizer creation
Args:
network (torch.model): Network to train
optimizer (str): optimizer type one of [sgd,adam,rmsprop]
learning_rate (float): float learning rate
Returns:
[torch.optim.optimizer]: optim... | 69,537 |
def stopApplicationOnCluster(appname,clustername):
"""Stops the named application on all servers in named cluster"""
m = "stopApplicationOnCluster:"
sop(m,"Entry. appname=%s clustername=%s" % ( appname, clustername ))
server_id_list = listServersInCluster( clustername )
for server_id in server_id_li... | 69,538 |
def test_creating_tables_from_models():
# language=rst
"""
Creating tables from models
---------------------------
Say I have some model:
"""
class Foo(models.Model):
a = models.IntegerField()
def __str__(self):
return f'Foo: {self.a}'
# @test
clas... | 69,539 |
def send_msg(app, msg):
"""
Send an openflow message.
"""
return app.send_request(event.SendMsgRequest(msg=msg))() | 69,540 |
def _standardize_node_pro_config_entry(hass, config_entry):
"""Ensure that Node/Pro config entries have appropriate properties."""
entry_updates = {}
if CONF_INTEGRATION_TYPE not in config_entry.data:
# If the config entry data doesn't contain the integration type, add it:
entry_updates["da... | 69,541 |
def _write_bot(botname, botdir, c_key, c_secret, a_token, a_secret):
"""
Handles creating the bot directory and writing all the components of the bot:
configuration, models, and the main driver.
"""
os.mkdir(botdir)
os.chdir(botdir)
f = open("./settings.cfg", "w")
c = """# Sets the confi... | 69,542 |
def test_from_name():
"""Make sure one can construct a Component subclass by name"""
subclass = ExampleComponent.from_name("ExampleSubclass1")
assert isinstance(subclass, ExampleSubclass1)
subclass = ExampleComponent.from_name("ExampleSubclass2")
assert isinstance(subclass, ExampleSubclass2) | 69,543 |
def vq_loss(x,
targets,
codebook_size,
beta=0.25,
decay=0.999,
epsilon=1e-5,
soft_em=False,
num_samples=10,
temperature=None,
do_update=True):
"""Compute the loss of large vocab tensors using a VQAE codebook.
... | 69,544 |
async def get_crypto(symbol):
"""Returns the data of a crypto.
symbol: bytes
"""
data = crypto.get(symbol.encode())
if data:
return orjson.loads(data)
return None | 69,545 |
def get_monthly_fields(cases, varlist, from_time, to_time,
pressure_adjust=True,
raw_data_path=get_input_datapath(),
model='NorESM'):
"""
Get monthly fields of files (i.e. not averaged)
:param cases: list of cases to load
:param varlis... | 69,546 |
def move_blob_file(connect_str: str, source_container: str, target_container: str,
source_path: str, target_path: str) -> None:
""" Move blob from source to destination container """
logging.info('Move blob from %s/%s to %s/%s',
source_container, source_path, target_container... | 69,547 |
def valid_search_inputs_1():
"""Basic search input tests for Sra and Ena (single inputs)"""
return [
[
0,
20,
["covid-19"],
None,
None,
None,
None,
None,
None,
None,
None,
... | 69,548 |
def WriteImageSeries(writer, tag, n_images=1):
"""Write a few dummy images to writer."""
step = 0
session = tf.Session()
p = tf.placeholder("uint8", (1, 4, 4, 3))
s = tf.image_summary(tag, p)
for _ in xrange(n_images):
im = np.random.random_integers(0, 255, (1, 4, 4, 3))
summ = session.run(s, feed_d... | 69,549 |
def chooseRandPixel(mask):
""" Returns [x,y] numpy array of random pixel.
NOTE: the returned [x, y] correspond to [row, col] in the mask
@param {numpy matrix} mask from which to choose random pixel.
E.g., self.level_dims = self.slide.level_dimensions
self.zoom = self.le... | 69,550 |
def copytree(
dest,
select,
root_start=None,
followlinks=True,
handler_cls=None):
"""Copies files to dest for a FileSelect.
root_start is an optional location from which select.root, if
relative, starts. Defaults to os.curdir.
If followlinks is True (the default... | 69,551 |
def _setup_batch(batch_shape):
"""Create random time points with batch_shape and a Constant kernel"""
num_data = 9
np.random.seed(1234)
shape = batch_shape + (num_data,)
return (
tf.convert_to_tensor(
generate_random_time_points(expected_range=4.0, shape=shape), tf.float64
... | 69,552 |
def query_build_version(config, log):
"""Find the build version we're looking for.
AppVeyor calls build IDs "versions" which is confusing but whatever. Job IDs aren't available in the history query,
only on latest, specific version, and deployment queries. Hence we need two queries to get a one-time status... | 69,553 |
async def test_event_forwarding(
decoy: Decoy,
subject: HardwareEventForwarder,
hardware_control_api: HardwareControlAPI,
action_dispatcher: ActionDispatcher,
) -> None:
"""It should forward events that come from a different thread."""
handler_captor = matchers.Captor()
unsubscribe_callback ... | 69,554 |
def get_directed_edges(
nodes,
edges,
direction="oneway",
from_id_col="u",
to_id_col="v",
node_id_col="id",
force_bidirectional=False,
network_type=None,
):
"""Prepares the edges and nodes for exporting to different graphs."""
allowed_network_types = Conf._possible_network_filter... | 69,555 |
async def cmd_raw_research(ctx: commands.Context, *, research_id: str = None):
"""
Get raw research design data from the PSS API.
Usage:
/raw research <id> <format>
Parameters:
id: An integer. If specified, the command will only return the raw data for the research with the specified i... | 69,556 |
def list_split(l, indices):
"""Split list at given indices.
Closed lists have the same first and last elements.
If the list is closed, splitting wraps around if the first or last index is not in the indices to split.
Parameters
----------
l : list
A list.
indices : list
... | 69,557 |
def test_no_words():
"""
No words in input
"""
result = {'lan': 'es', 'tokens': []}
mock_response = {'tokens': [], 'language': 'es'}
response_obj = munchify(mock_response)
with mock.patch('extract.gcloud_syntax_extraction', return_value=response_obj):
assert result == get_keywords(... | 69,558 |
def trigger(version, appengine_instance, access_token):
"""Triggers db migration."""
base_url = 'https://{0}-dot-{1}.appspot.com/maintenance'.format(
version,
appengine_instance)
url = base_url + '/migrate'
post_data = {'access_token': access_token}
response = requests.post(url, data=post_data)
... | 69,559 |
def test_get_evaluation_concurrency():
"""Test getting default evaluation_concurrency property."""
value = c.evaluation_concurrency
assert_equal(value, default_evaluation_concurrency) | 69,560 |
def sphinx_quickstart(
temp_root: Union[str, Path], requirements: Optional[List[str]] = None
):
"""
Generate required files for a Sphinx project. sphinx-quickstart is an
interactive tool that asks some questions about your project and then
generates a complete documentation directory and sample Make... | 69,561 |
def create_filing(token=None, filing_json=None, business_id=None, filing_date=EPOCH_DATETIME, bootstrap_id: str = None):
"""Return a test filing."""
filing = Filing()
if token:
filing.payment_token = str(token)
filing.filing_date = filing_date
if filing_json:
filing.filing_json = fi... | 69,562 |
def plot_3D(X, y, z, elev=30, azim=30):
""" Plots rotatable 3D scatter plot with scaled z-axis.
-----------
Parameters:
- X: matrix with (x1, x2) data points
- y: vector with color labels for individual points
- z: vector with scale levels for individual points
- ele... | 69,563 |
def load_notes_midi(midi_path):
"""
Load all MIDI notes from a MIDI file, keeping track of sustain pedal activity.
TODO - make sustain pedal stuff optional?
TODO - break this up more?
Parameters
----------
midi_path : string
Path to MIDI file to read
Returns
----------
ba... | 69,564 |
def napari_experimental_provide_dock_widget() -> Union[
AugmentedWidget, List[AugmentedWidget]
]:
"""Provide QWidget classes to be instantiated and docked on the viewer.
This hook specification is marked as experimental as the API or how the
returned value is handled may change here more frequently the... | 69,565 |
def get_tracks_as_np_strings(labels: Labels) -> List[np.string_]:
"""Get list of track names as `np.string_`."""
return [np.string_(track.name) for track in labels.tracks] | 69,566 |
def _model_validation_for_base(opt, base_model, device, tokenizer, with_mask=False):
"""
validation set 을 이용하여 모델 정확도 계산
"""
corpus_list, asp_info = loader.load_validation_data()
transform = nlp.data.BERTSentenceTransform(
tokenizer, max_seq_length=opt["bert_max_len"], pad=True, pair=Tru... | 69,567 |
def no_op(ctx, node, name, args):
"""Skip node."""
return None | 69,568 |
def mastQuery(request):
"""Perform a MAST query.
Parameters
----------
request (dictionary): The MAST request json object
Returns head,content where head is the response HTTP headers, and content is the returned data
"""
server='mast.stsci.edu'
# Grab Python Version
version ... | 69,569 |
def log_likelihood(z:Union[np.ndarray,float,int], x:np.ndarray, P:np.ndarray, H:np.ndarray, R:np.ndarray) -> Union[np.ndarray,float,int]:
"""
Returns log-likelihood of the measurement z given the Gaussian
posterior (x, P) using measurement function H and measurement
covariance error R
"""
S = np... | 69,570 |
def recession_index(data, compare=operator.gt):
"""returns the index of the start of the recession
Parameters
----------
data: DataFrame
GDP data to search
compare: function
compare quarters (change to < to find end)
Returns
-------
int : iloc of start of first recessi... | 69,571 |
def block_iter(fileobj, blocksize=io.DEFAULT_BUFFER_SIZE):
"""Iterate over fileobj and yield blocks up to size of blocksize.
Arguments:
fileobj {[type]} -- Any object supporting .read() method.
Notes:
Iteration will attempt to find EOF position and iterate till EOF.
Otherwise, iter... | 69,572 |
def copy_tree(t):
"""Returns a copy of t. Only for testing purposes.
>>> t = tree(5)
>>> copy = copy_tree(t)
>>> t = tree(6)
>>> print_tree(copy)
5
"""
return tree(root(t), [copy_tree(b) for b in branches(t)]) | 69,573 |
def set_owner(conn, uuid, owner):
"""Set ON_OWNER by uuid.
@param uuid: uuid of the VM
@param owner: string representing owner
"""
# Save owener regardless if VM is working or not
# Old logic will write owner info only if VM is working.
owners_file = '/etc/opennode/kvmowners'
# XXX: tou... | 69,574 |
def wait_for_element_not_visible(
driver, selector, by=MobileBy.ACCESSIBILITY_ID, timeout=settings.LARGE_TIMEOUT
):
"""
Searches for the specified element by the given selector.
Raises an exception if the element is still visible after the
specified timeout.
@Params
driver - the webdrive... | 69,575 |
def connect_info_factory(info_type: str, **kwargs):
"""
Creates a specific ConnectInfo based on the type of connection we are looking for. Any
additional kwargs specified are passed on to the appropriate ConnectInfo constructor.
:param info_type: the connection info type to make. For example, 'irc'.
... | 69,576 |
def test_post_unknown_field(client):
"""Do we properly reject a POST with an unknown field?"""
response = client.post(
'/artist/',
data=json.dumps({'foo': 'bar', 'Name': 'Jeff Knupp'}),
headers={'Content-type': 'application/json'}
)
assert response.status_code == 400
json_res... | 69,577 |
def test_compress_assets_correctly_fetches_static_images(settings, tmpdir):
"""
Make sure that `compress_assets` correctly fetches static assets
such as icons and writes them correctly into our compressed
and concatted files.
Refs https://github.com/mozilla/addons-server/issues/8760
"""
set... | 69,578 |
def entity_similarity(algo, entity1, entity2):
"""
measure the similarity of the two entities
:param algo: the algorithm to measure similarity
:param entity1, entity2: two entities to measure analogy
:return: [float] in [0. 1)
"""
if algo == "jaccard":
return jaccard_similarity_score... | 69,579 |
def cancel(form):
"""Callback for dialog cancel"""
choice = QMessageBox.question(None, 'Question', 'Are you sure?',
QMessageBox.Yes | QMessageBox.No)
if choice == QMessageBox.Yes:
form.close() | 69,580 |
def uploadFolderCsvToBlob(storage_account, storage_key, container, in_dir, blob_out_dir):
""" Uploads csvs in a folder into blob storage
"""
# Create blob service
block_blob_service = BlockBlobService(account_name=storage_account, account_key=storage_key)
# Create container if not exists
... | 69,581 |
def hook_compressed_text(filename, mode, encoding='utf8'):
"""
#lines are byte strings and not text string if we use gzip.open by default.
"""
ext = os.path.splitext(filename)[1]
if ext == '.gz':
import gzip
return gzip.open(filename, mode + 't', encoding=encoding)
#elif ext == ... | 69,582 |
def deprecated(func):
""" Decorator to be used to mark functions as deprecated.
It will result in a warning being emitted when the function is used.
Usage::
@other_decorators_must_be_upper
@deprecated
def some_old_function(x,y):
return x + y
class SomeClass:
... | 69,583 |
def test_output_type(value, ff_cls, exp_type):
"""The FuzzyField always returns the correct type
"""
ff = ff_cls()
res = ff.parse(value)
assert res == 1
assert isinstance(res, exp_type) | 69,584 |
def setup_cli(args, cfg):
""" Configure command-line arguements """
description ="""
Benign_domains outputs a list of preceived benign domains. This is
intended to help gather data for ML training sets and generate white
lists. The core set of domains are provided by majestic million.
Opti... | 69,585 |
def metadata_label_cbor(self, label: str, **kwargs):
"""
Transaction metadata per label.
https://docs.blockfrost.io/#tag/Cardano-Metadata/paths/~1metadata~1txs~1labels~1{label}~1cbor/get
:param label: Metadata label
:type label: str
:param return_type: Optional. "object", "json" or "pandas". D... | 69,586 |
def uses_gpu(*args):
"""Mark to differentiate tests that use the GPU is some capacity.
These tests will be run on CPU-only test nodes and on test nodes with GPUS.
To mark a test that must have a GPU present to run, use
:py:func:`tvm.testing.requires_gpu`.
Parameters
----------
f : function... | 69,587 |
def get_imbalances(regressions):
# Deprecated
"""
Generates a numpy array of the imbalances.
For a value *x* where *x* is the beta of a regression:
========= ====== =======================================================
*x* < 0 **-1** The regression had a negative beta value
*x* = nan **0** The regression ... | 69,588 |
def iterview(server_url, database_name, view_name, sleep_seconds=10, wrapper=None, **options):
"""Iterate the rows in a view, fetching rows in batches and yielding
one row at a time.
Since the view's rows are fetched in batches any rows emitted for
documents added, changed or deleted between requests m... | 69,589 |
def compute_walk_paths_java(gtfs_db_path, osm_file, cache_db=None):
"""
Parameters
----------
gtfs_db_path: str (path to the gtfs database)
osm_file: str
cache_db: str
Returns
-------
None
"""
raise NotImplementedError("This has not been pipelined yet. Please see the Python ... | 69,590 |
def _mock_repo(root, namespace):
"""Create an empty repository at the specified root
Args:
root (str): path to the mock repository root
namespace (str): mock repo's namespace
"""
repodir = py.path.local(root) if isinstance(root, str) else root
repodir.ensure(spack.repo.packages_dir... | 69,591 |
def get_course_ids():
"""
Get a list of course ids that is necessary for the rest of the
functions to work.
"""
global course_ids
dump_course_ids = subprocess.Popen(['/edx/bin/python.edxapp',
'/edx/app/edxapp/edx-platform/manage.py',
... | 69,592 |
def get_optimizer(learning_rate, config):
"""Returns the optimizer of choice given the configurations."""
if isinstance(config, experiment.MomentumOptimizer):
optimizer = tf.keras.optimizers.SGD(
learning_rate=learning_rate,
momentum=config.momentum,
nesterov=config.nesterov
)
... | 69,593 |
def get_gitlab_project_data(initial_data, headers, resources):
"""
Get all directories and files of given projects.
Parameters
----------
initial_data: list
List of all top level projects
headers: dict
The authorization header that GitLab expects
resources: list
A li... | 69,594 |
def convert_observations(observations:str)->List[str]:
"""
Parses a string with observations separated by comas.
Args:
observations: str -> Obesrvations string, each observation must be separated
by a coma. Example "Green, ugly, has errors"
Retrun:
... | 69,595 |
def prepare_data(data, nlags):
"""prepares data for LSTM model, x=last nlags values, y=(nlags+1)'th value"""
data_x, data_y = [], []
for i in range(data.shape[0]):
for j in range(0, data.shape[1] - nlags):
data_x.append(data[i, j : j + nlags])
data_y.append(data[i, j + nlags]... | 69,596 |
def divisors(n: int) -> list[int]:
"""Get the proper divisors of a number n"""
limit = int(math.sqrt(n)) + 1
proper_divisors = {1}
for i in range(2, limit):
if n % i == 0:
proper_divisors.add(n // i)
proper_divisors.add(i)
return list(proper_divisors) | 69,597 |
def compressImage(image, height):
"""
Note: Should probably replace this method with one from photutils or PIL.Image. Will probably be faster/more accurate and can handle
both increasing and decreasing resolution
"""
"""
Compresses the image to a given size. Given that 3D printing cannot handle fine resolution, a... | 69,598 |
def get_lsb_num(num):
"""docstring"""
cnt = 0
while not (num >> cnt) & 1:
cnt += 1
#
return cnt + 1 | 69,599 |
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