content stringlengths 22 815k | id int64 0 4.91M |
|---|---|
def cached_property_named(name, kls=_internal_jit_attr, use_cls_setattr=False):
"""
variation of `cached_property`, just with the ability to explicitly set the attribute name
Primarily of use for when the functor it's wrapping has a generic name (
`functools.partial` instances for example).
Example... | 5,346,200 |
def remix(tracks, n_tracks=50, n_steps=60):
"""Return new tracks generated by remixing given tracks"""
time_step = int(
np.round(next(dt for dt in sorted(tracks["Time"].diff()) if dt > 0) * 60)
)
print(
"Generating {} steps from {} steps {}s apart.".format(
n_tracks * n_steps... | 5,346,201 |
def prohibition_served_recently(**args) -> tuple:
"""
Returns TRUE if the prohibition was served within the previous 3 days;
otherwise returns FALSE
"""
date_served_string = args.get('date_of_service')
config = args.get('config')
delay_days = int(config.DAYS_TO_DELAY_FOR_VIPS_DATA_ENTRY)
... | 5,346,202 |
def test_check_family_equal_unicode_encodings(mada_ttFonts):
""" Fonts have equal unicode encodings ? """
from fontbakery.profiles.cmap import com_google_fonts_check_family_equal_unicode_encodings as check
from fontbakery.constants import WindowsEncodingID
print('Test PASS with good family.')
# our reference... | 5,346,203 |
def project_api(request):
"""
创建项目接口
"""
if not request.user.has_perm('home_application.can_add_project'):
return render(request, '403.html')
if request.method == 'POST':
groupId=request.POST.get('group-id','')
projectName=request.POST.get('project-name','')
... | 5,346,204 |
def impute_missing_values(model,
observed_time_series,
parameter_samples,
include_observation_noise=False):
"""Runs posterior inference to impute the missing values in a time series.
This method computes the posterior marginals `p(latent... | 5,346,205 |
def grad_z(y, z, axis=0):
"""
Compute the vertical gradient
"z" can be an array same size as y, or vector along the first axis of "y"
Takes the derivative along the dimension specified by axis(=0)
"""
Nz = z.shape[0]
# Reshape the y variable
y = y.swapaxes(0, axis)
#assert y.shape... | 5,346,206 |
def wang_ryzin_reg(h, Xi, x):
"""
A version for the Wang-Ryzin kernel for nonparametric regression.
Suggested by Li and Racine in [1] ch.4
"""
return h ** abs(Xi - x) | 5,346,207 |
def _removeBackrefs( senderkey):
"""Remove all back-references to this senderkey"""
try:
signals = connections[senderkey]
except KeyError:
signals = None
else:
items = signals.items()
def allReceivers( ):
for signal,set in items:
for item in set:
yield item
for receiver in allReceivers():
_... | 5,346,208 |
def get_all_input_values(corpus_weights):
"""
Returns all relevant input values
"""
azerty = get_azerty()
letters = get_letters()
characters = get_characters()
keyslots = get_keyslots()
similarity_c_c = get_character_similarities()
similarity_c_l = get_character_letter_similarities(... | 5,346,209 |
def bulk_rename(doctype, rows=None, via_console = False):
"""Bulk rename documents
:param doctype: DocType to be renamed
:param rows: list of documents as `((oldname, newname), ..)`"""
if not rows:
frappe.throw(_("Please select a valid csv file with data"))
if not via_console:
max_rows = 500
if len(rows) >... | 5,346,210 |
def parse_file(
input_file,
output_file,
xsd_file,
xpaths,
excludepaths,
delete_xml,
block_size,
file_info,
):
"""
:param input_file: input file
:param output_file: output file
:param xsd_file: xsd file
:param xpaths: whether to parse a specific xml path
:param ex... | 5,346,211 |
def mag_to_flux_AB(mag, mag_err):
"""Calculate flux in erg s-1 cm-2 Hz-1."""
flux = 10 ** (-.4 * (mag + 48.6))
flux_err = abs(-.4 * flux * sp.log(10) * mag_err)
return flux, flux_err | 5,346,212 |
def add_count_records(df, count_type):
"""Add count records for the count type."""
log(f'Adding {DATASET_ID} count records for {count_type}')
has_count = pd.to_numeric(df[count_type], errors='coerce').notna()
df = df.loc[has_count, :].copy()
df[count_type] = df[count_type].astype(int)
df['count_... | 5,346,213 |
def rasterizeTimesliceMultipleDays(timeslices_range: dict, perform_rasterization):
"""
Rasterize timeslices over multiple days while keeping consistent color scheme across rasters
timeslices_range shall for each day contain a dictioanry with keys:
- timeslices
- startTime
- endTime
- imageP... | 5,346,214 |
def django_admin_navtree(request, context):
"""show menu"""
if request and request.user.is_staff:
coop_cms_navtrees = context.get('coop_cms_navtrees', None) or []
tree_class = get_navtree_class()
admin_tree_name = "{0}_{1}".format(get_model_app(tree_class), get_model_name(tree_class))
... | 5,346,215 |
def get_pos_tags(student_comment: str) -> pd.DataFrame:
"""Get the POS (part of speech) tags for each of the words in the student
comments
Keyword arguments
student_comment -- a spacy.tokens.doc.Doc object
"""
# Count how many of each pos tags are in each comment
pos_tags ... | 5,346,216 |
def compute_descriptor_digest(fields, descriptors, entry, flavor):
"""
(details of the parser – private API)
Plugs into our consumer to compute extra "digest" fields that expose
the (micro-)descriptor's (micro-)digest, enabling us to easily fetch
associated entries within a consensu... | 5,346,217 |
def main():
"""The Main Function."""
parser = argparse.ArgumentParser()
parser.add_argument("-v", "--validation", type=int, default=1, help="turn on to cal the index")
parser.add_argument("-d", "--dataset", type=str, default="3T3", help="choose mode")
parser.add_argument("--n_model", type=int,
default=1, hel... | 5,346,218 |
def add_auth(instance):
"""Add authentication to VM."""
if not instance:
sys.exit(click.style("Need to provide an instance to before "
"we can add authentication.", fg="red"))
if instance.provider == 'vmware' and instance.vmx is None:
sys.exit(click.style("Need... | 5,346,219 |
def test_docker_registry_htpasswd_list(
docker_registry_htpasswd_list: List[Path],
docker_registry_password_list: List[str],
docker_registry_username_list: List[str],
pdrf_scale_factor: int,
):
"""Test that a htpasswd can be provided."""
for i in range(pdrf_scale_factor):
assert docker_r... | 5,346,220 |
def get_axis(array, axis, slice_num):
"""Returns a fixed axis"""
slice_list = [slice(None)] * array.ndim
slice_list[axis] = slice_num
slice_data = array[tuple(slice_list)].T # transpose for proper orientation
return slice_data | 5,346,221 |
def test_integrity(param_test):
"""
Test integrity of function
"""
# open result file
f = open(os.path.join(param_test.path_output, 'ernst_angle.txt'), 'r')
angle_result = float(f.read())
f.close()
# compare with GT
if abs(angle_result - param_test.angle_gt) < param_test.thr... | 5,346,222 |
def expand_name_df(df,old_col,new_col):
"""Takes a dataframe df with an API JSON object with nested elements in old_col,
extracts the name, and saves it in a new dataframe column called new_col
Parameters
----------
df : dataframe
old_col : str
new_col : str
Returns
-------
df... | 5,346,223 |
def image_rpms_remove_if_exists(rpmlist):
"""
`image.rpms_remove_if_exists(["baz"])` removes `baz.rpm` if exists.
Note that removals may only be applied against the parent layer -- if your
current layer includes features both removing and installing the same
package, this will cause a build failure.
"""
re... | 5,346,224 |
def expand_set(mySet):
""" pass in a set of genome coords, and it will 'expand' the indels
within the set by adding +/- 3 bp copies for each one """
returnSet = []
for entry in mySet:
l0 = []
l1 = []
try:
sub0 = entry.split('-')[0] # split on `-`
sub1 = entry.split('-')[1] # this guy is good
sub00 ... | 5,346,225 |
def trapezoid(t, depth, bigT, littleT):
"""Trapezoid shape for model
INPUT:
t - [float] vector of independent values to evaluate
trapezoid model
depth - [float] depth of trapezoid
bigT - [float] full trapezoid duration
littleT - [float] 'ingress/egress' durati... | 5,346,226 |
def destroy(ctx, config, name, force):
"""Destroy a machine."""
name = drifter.commands.validate_name(ctx, name)
# Destroy the named machine only
if name:
_destroy(ctx, config, name, force)
return
# Destroy all machines
for machine in drifter.commands.list_machines(config):
... | 5,346,227 |
def clean_username(username=''):
""" Simple helper method to ensure a username is compatible with our system requirements. """
return ('_').join(re.findall(r'[a-zA-Z0-9\-]+', username))[:USERNAME_MAX_LENGTH] | 5,346,228 |
def hy_compile(tree, module_name, root=ast.Module, get_expr=False):
"""
Compile a HyObject tree into a Python AST Module.
If `get_expr` is True, return a tuple (module, last_expression), where
`last_expression` is the.
"""
body = []
expr = None
if not isinstance(tree, HyObject):
... | 5,346,229 |
def make_expt_parser():
"""
Parses arguments from the command line for running experiments
returns
args (argparse NameSpace)
"""
parser = argparse.ArgumentParser(
description='energy_py dict expt parser'
)
# required
parser.add_argument('expt_name', default=None, type... | 5,346,230 |
def user_dss_clients(dss_clients, dss_target):
"""
Fixture that narrows down the dss clients to only the ones that are relevant considering the curent DSS target.
Args:
dss_clients (fixture): All the instanciated dss client for each user and dss targets
dss_target (fixture): The considered ... | 5,346,231 |
def build_log(x: np.ndarray) -> np.ndarray:
"""
Logarithmic expansion.
:param x: features
:return: augmented features
"""
expanded = np.ones((x.shape[0], 1))
expanded = np.hstack((expanded, np.nan_to_num(np.log(x))))
return expanded | 5,346,232 |
def print_pqr(args, pqr_lines, header_lines, missing_lines, is_cif):
"""Print PQR-format output to specified file
.. todo:: Move this to another module (io)
:param argparse.Namespace args: command-line arguments
:param [str] pqr_lines: output lines (records)
:param [str] header_lines: header l... | 5,346,233 |
def all_multibert_finetune_glue(m:Manager, task_name:str='MRPC')->BertGlue:
""" Finetune milti-lingual base-BERT on GLUE dataset
Ref. https://github.com/google-research/bert/blob/master/multilingual.md
"""
refbert=all_fetch_multibert(m)
refglue=all_fetchglue(m)
vocab=mklens(refbert).bert_vocab.refpath
gl... | 5,346,234 |
def hash_eth2(data: Union[bytes, bytearray]) -> Hash32:
"""
Return SHA-256 hashed result.
Note: this API is currently under active research/development so is subject to change
without a major version bump.
Note: it's a placeholder and we aim to migrate to a S[T/N]ARK-friendly hash function in
... | 5,346,235 |
def read_data(data_dir="../main/datasets/", data_file=DATA_FILE):
"""Returns the data, in order infos, items, orders"""
with zipfile.ZipFile(data_dir+DATA_FILE) as z:
dfs = []
for name in ["infos", "items", "orders"]:
dfs.append(pd.read_csv(z.open(f"1.0v/{name}.csv"), sep="|"))
r... | 5,346,236 |
def get_sprints(root_project_id, rally_number=None):
"""Get list of sprint projects.
Args:
root_project_id: Synapse Project ID with admin annotations,
including the sprint table ID.
rally_number: An integer rally number. If None, return sprints
... | 5,346,237 |
async def cmd_viewdb(self, message, scopes):
"""
`$!_viewdb [scopes...]` : Displays the current database state
If scopes are provided, then only show the requested scopes
"""
async with DBView() as db:
if scopes is None or not len(scopes):
await self.send_message(
... | 5,346,238 |
def prep_bbox(sess, logits_scalar, x, y, X_train, Y_train, X_test, Y_test,
img_rows, img_cols, channels, nb_epochs, batch_size, learning_rate,
rng, phase=None, binary=False, scale=False, nb_filters=64,
model_path=None, adv=0, delay=0, eps=0.3):
"""
Define and train a mo... | 5,346,239 |
def out_of_bounds(maze: Array, x: int, y: int):
""" Return true if x, y is out of bounds """
w, h = maze.shape
is_x_out = (x < 0) + (x >= w)
is_y_out = (y < 0) + (y >= h)
return is_x_out + is_y_out | 5,346,240 |
def run_test(test_name, module_dict, print_test_case=False, display=None):
"""Run a given test."""
import test_parser
import test_classes
for module in module_dict:
setattr(sys.modules[__name__], module, module_dict[module])
test_dict = test_parser.TestParser(test_name + ".test").parse()
... | 5,346,241 |
def cache_set(apollo_client, name, val):
"""
保存数据到redis
:return:
"""
r = redis_handler(apollo_client)
try:
res = r.set(name=name, value=json.dumps(val))
except Exception as e:
logger.error("Storage {} to cache failed!{}".format(name, e.__str__()))
retu... | 5,346,242 |
def guess_pyramid(data):
"""If shape of arrays along first axis is strictly decreasing.
"""
# If the data has ndim and is not one-dimensional then cannot be pyramid
if hasattr(data, 'ndim') and data.ndim > 1:
return False
size = np.array([np.prod(d.shape, dtype=np.uint64) for d in data])
... | 5,346,243 |
def __clear_archive_file(model_context):
"""
Remove any binaries already in the archive file.
:param model_context: the model context
:raises DiscoverException: if an error occurs while removing the binaries
"""
_method_name = '__clear_archive_file'
__logger.entering(class_name=_class_name, ... | 5,346,244 |
def test_object_properties_match_xml(person_xml, mini_mock):
"""
Test the object is modified to include attributes for elements
from the XML tree.
"""
tree = etree.fromstring(person_xml)
# Set up some blank object attributes.
person0 = mini_mock()
person0.nickname = None
person0.fir... | 5,346,245 |
def test_interdependency_constrained():
"""
Test a model with interdependent components, and with constraints which
depend on the Model's output.
This is done in the MatrixSymbol formalism, using a Tikhonov
regularization as an example. In this, a matrix inverse has to be
calculated and is used ... | 5,346,246 |
def create_menu(menu_items, parent=None):
"""
Create the navigation nodes based on a passed list of dicts
"""
nodes = []
for menu_dict in menu_items:
try:
label = menu_dict['label']
except KeyError:
raise ImproperlyConfigured(
"No label specifi... | 5,346,247 |
def imsave(f, img):
"""Save an image to file.
:param string|file f: Filename or file-like object.
:param numpy.ndarray img: Image to save. Of shape (M,N) or (M,N,3) or (M,N,4).
"""
# Ensure we use PIL so we can guarantee that imsave will accept file-like object as well as filename
skio.imsave(f... | 5,346,248 |
def find_contact(name):
"""Selects existing contact details based on the provided name."""
# Uses the LIKE operator to perform case insensitive searching. Also allows
# for the use of the % and _ wildcards.
conn = sqlite3.connect('contacts.db')
c = conn.cursor()
c.execute('SELECT contact_id, nam... | 5,346,249 |
def get_tg_ids(db):
"""Obtain a list of recognized Telegram user IDs.
Args:
db: Database connector
Returns:
Query results for later iteration
"""
return db.query(QUERY_TG_IDS) | 5,346,250 |
async def _casino(
ctx: commands.Context,
bet: int = None, # type: ignore
number_of_games: int = 1
) -> None:
"""
Casino, generates lines with sectors depending
on <number of games> (last argument, default: 1).
:param ctx: commands.Context
:param bet: Bet of the user, but i... | 5,346,251 |
def solve_with_log(board, out_fname):
"""Wrapper for solve: write log to out_fname"""
log = []
ret = solve(board, log)
with open(out_fname, 'w') as f:
f.write(json.dumps({'model': log}, indent=4))
return ret | 5,346,252 |
def discrepancy(sample, bounds=None):
"""Discrepancy.
Compute the centered discrepancy on a given sample.
It is a measure of the uniformity of the points in the parameter space.
The lower the value is, the better the coverage of the parameter space is.
Parameters
----------
sample : array_... | 5,346,253 |
def rz(psi, r):
"""
Wrapper for ERFA function ``eraRz``.
Parameters
----------
psi : double array
r : double array
Returns
-------
r : double array
Notes
-----
The ERFA documentation is below.
- - - - - -
e r a R z
- - - - - -
Rotate an r-matrix abou... | 5,346,254 |
def VisualizeCollapsedGraph(trace, node_names, edges, fuzzy):
"""
Visualize the collapsed graph and save the output.
@params trace: the trace for which to visualize a collapsed graph
@params node_names: names for the collapsed nodes
@params edges: list of edges connecting the nodes
"""
# get... | 5,346,255 |
def _get_ticklabels(band_type, kHz, separator):
"""
Return a list with all tick labels for octave or third octave bands cases.
"""
if separator is None:
import locale
separator = locale.localeconv()['decimal_point']
if band_type == 'octave':
if kHz is True:
tickl... | 5,346,256 |
def test_scrapping():
"""
Function that will test if the data was scrapped successfully
"""
scrapper = Scrapper()
scrapped_data = scrapper.scrape_fb_page("nous.sommes.les.ingenieurs", 5)
assert len(scrapped_data) > 0
assert len(scrapped_data[0]["text"]) > 0 | 5,346,257 |
def SpearmanP(predicted, observed):
"""abstracts out p from stats.spearmanr"""
if np.isnan(np.min(predicted)) or np.isnan(np.min(observed)):
return np.asarray([np.nan])
coef, p = stats.spearmanr(np.squeeze(predicted).astype(float), np.squeeze(observed).astype(float))
return p | 5,346,258 |
def get_zebra_route_type_by_name(route_type='BGP'):
"""
Returns the constant value for Zebra route type named "ZEBRA_ROUTE_*"
from its name.
See "ZEBRA_ROUTE_*" constants in "ryu.lib.packet.zebra" module.
:param route_type: Route type name (e.g., Kernel, BGP).
:return: Constant value f... | 5,346,259 |
def preprocess(arr):
"""Preprocess image array with simple normalization.
Arguments:
----------
arr (np.array): image array
Returns:
--------
arr (np.array): preprocessed image array
"""
arr = arr / 255.0
arr = arr * 2.0 - 1.0
return arr | 5,346,260 |
def remove_const(type):
"""removes const from the type definition
If type is not const type, it will be returned as is
"""
nake_type = remove_alias(type)
if not is_const(nake_type):
return type
else:
return nake_type.base | 5,346,261 |
def populate_institute_form(form, institute_obj):
"""Populate institute settings form
Args:
form(scout.server.blueprints.institutes.models.InstituteForm)
institute_obj(dict) An institute object
"""
# get all other institutes to populate the select of the possible collaborators
insti... | 5,346,262 |
def test_output_overview_path(output, tmpdir):
"""Testing if overview HTML file path is created correctly."""
expected_path = os.path.join(tmpdir, "overview.html")
actual_path = output.overview_file()
assert actual_path == expected_path | 5,346,263 |
def closestMedioidI(active_site, medioids, distD):
"""
returns the index of the closest medioid in medioids to active_site
input: active_site, an ActiveSite instance
medioids, a list of ActiveSite instances
distD, a dictionary of distances
output: the index of the ActiveSite close... | 5,346,264 |
def watchPoint(filename, lineno, event="call"):
"""whenever we hit this line, print a stack trace. event='call'
for lines that are function definitions, like what a profiler
gives you.
Switch to 'line' to match lines inside functions. Execution speed
will be much slower."""
seenTraces: Dict[Any... | 5,346,265 |
def no_op_job():
"""
A no-op parsl.python_app to return a future for a job that already
has its outputs.
"""
return 0 | 5,346,266 |
def identity(dim, shape=None):
"""Return identity operator with appropriate shape.
Parameters
----------
dim : int
Dimension of real space.
shape : int (optional)
Size of the unitary part of the operator.
If not provided, U is set to None.
Returns
-------
id : P... | 5,346,267 |
def configure_checkout_session(request):
"""
Configure the payment session for Stripe.
Return the Session ID.
Key attributes are:
- mode: payment (for one-time charge) or subscription
- line_items: including price_data because users configure the donation
price.
TODOs
... | 5,346,268 |
def load_schemas():
"""Return all of the schemas in this directory in a dictionary where
the keys are the filename (without the .json extension) and the values
are the JSON schemas (in dictionary format)
:raises jsonschema.exceptions.SchemaError if any of the JSON files in this
directory are not val... | 5,346,269 |
def load_separator(
model_str_or_path: str = "umxhq",
targets: Optional[list] = None,
niter: int = 1,
residual: bool = False,
wiener_win_len: Optional[int] = 300,
device: Union[str, torch.device] = "cpu",
pretrained: bool = True,
filterbank: str = "torch",
):
"""Separator l... | 5,346,270 |
def transform_datetime(date_str, site):
"""
根据site转换原始的date为正规的date类型存放
:param date_str: 原始的date
:param site: 网站标识
:return: 转换后的date
"""
result = None
if site in SITE_MAP:
if SITE_MAP[site] in (SiteType.SINA, SiteType.HACKERNEWS):
try:
time_int = int(d... | 5,346,271 |
def ParseEventsForTTLs(eventsFileName, TR = 2.0, onset = False, threshold = 5.0):
"""
Parses the events file from Avotec for TTLs. Use if history file is not available.
The events files does not contain save movie start/stops, so use the history file if possible
@param eventsFileName: name of events file from avot... | 5,346,272 |
def test_tile_valid_pan(landsat_get_mtl, monkeypatch):
"""
Should work as expected
"""
monkeypatch.setattr(landsat8, "LANDSAT_BUCKET", LANDSAT_BUCKET)
landsat_get_mtl.return_value = LANDSAT_METADATA
tile_z = 8
tile_x = 71
tile_y = 102
data, mask = landsat8.tile(LANDSAT_SCENE_C1, t... | 5,346,273 |
def _to_native_string(string, encoding='ascii'):
"""Given a string object, regardless of type, returns a representation of
that string in the native string type, encoding and decoding where
necessary. This assumes ASCII unless told otherwise.
"""
if isinstance(string, str):
out = string
... | 5,346,274 |
def load(path: str) -> model_lib.Model:
"""Deserializes a TensorFlow SavedModel at `path` to a `tff.learning.Model`.
Args:
path: The `str` path pointing to a SavedModel.
Returns:
A `tff.learning.Model`.
"""
py_typecheck.check_type(path, str)
if not path:
raise ValueError('`path` must be a non-... | 5,346,275 |
def plot_feature_importance(obj, top_n=None, save_path=None):
"""
输出LGBM模型的feature importance，并绘制条形图
Parameters
----------
obj: lgbm object or DataFrame
训练好的Lightgbm模型，或是已经计算好的feature importan DataFrame
top_n: int, default None
展示TOP N的变量，若不填则展示全部变量，为保证显示效果，建议当变量个数多于30个时进行限制
... | 5,346,276 |
def plot_pr(precision, recall, area, name, dst_dir=None):
"""Plotting ROC curve.
Arguments:
tpr {list} -- a list of numpy 1D array for true positive rate
fpr {list} -- a list of numpy 1D array for false positive rate
area {list} -- a list of floats for area under curve
name {str... | 5,346,277 |
def parameters_from_object_schema(schema, in_='formData'):
"""Convert object schema to parameters."""
# We can only extract parameters from schema
if schema['type'] != 'object':
return []
properties = schema.get('properties', {})
required = schema.get('required', [])
parameters = []
... | 5,346,278 |
def env_vars(request):
"""Sets environment variables to use .env and config.json files."""
os.environ["ENV"] = "TEST"
os.environ["DOTENV_FILE"] = str(DOTENV_FILE)
os.environ["CONFIG_FILE"] = str(CONFIG_FILE)
os.environ["DATABASE_URL"] = get_db_url()
return True | 5,346,279 |
def any_toggle_enabled(*toggles):
"""
Return a view decorator for allowing access if any of the given toggles are
enabled. Example usage:
@toggles.any_toggle_enabled(REPORT_BUILDER, USER_CONFIGURABLE_REPORTS)
def delete_custom_report():
pass
"""
def decorator(view_func):
@w... | 5,346,280 |
def moguls(material, height, randomize, coverage, det, e0=20.0, withPoisson=True, nTraj=defaultNumTraj, dose=defaultDose, sf=True, bf=True, optimize=True, xtraParams=defaultXtraParams):
"""moguls(material, radius, randomize, det, [e0=20.0], [withPoisson=True], [nTraj=defaultNumTraj], [dose = 120.0], [sf=True], [bf=... | 5,346,281 |
def link_datasets(yelp_results, dj_df, df_type="wages"):
"""
(Assisted by Record Linkage Toolkit library and documentation)
This functions compares the Yelp query results to database results and
produces the best matches based on computing the qgram score. Depending
on the specific database table c... | 5,346,282 |
def hello():
"""Say Hello, so that we can check shared code."""
return b"hello" | 5,346,283 |
def copytree(src, dst, symlinks=False, ignore=None):
"""
Credit: http://stackoverflow.com/questions/1868714/how-do-i-copy-an-entire-directory-of-files-into-an-existing-directory-using-pyth
"""
for item in os.listdir(src):
s = os.path.join(src, item)
d = os.path.join(dst, item)
... | 5,346,284 |
def loglog_mean_lines(x, ys, axis=0, label=None, alpha=0.1):
""" Log-log plot of lines and their mean. """
return _plot_mean_lines(partial(plt.loglog, x), ys, axis, label, alpha) | 5,346,285 |
def read_lines_from_shapefile(fpath):
""" Read coordinates of cutting line segments from a ESRI Shapefile
containing line features.
Parameters
----------
fpath
Name of a file containing coordinates of cutting lines
Returns
--------
list
... | 5,346,286 |
def generate_identifier(endpoint_description: str) -> str:
"""Generate ID for model."""
return (
Config.fdk_publishers_base_uri()
+ "/fdk-model-publisher/catalog/"
+ sha1(bytes(endpoint_description, encoding="utf-8")).hexdigest() # noqa
) | 5,346,287 |
def test_instant_memory_statistics():
""" Test the instant memory statistics. """
stats = instant_memory_statistics()
# test bounds (percent)
assert type(stats) is float
assert stats >= 0
assert stats <= 100 | 5,346,288 |
def depthFirstSearch(problem):
"""Search the deepest nodes in the search tree first."""
stack = util.Stack() # Stack used as fringe list
stack.push((problem.getStartState(),[],0))
return genericSearch(problem,stack) | 5,346,289 |
def parse_cli_args() -> argparse.Namespace:
"""
Parse arguments passed via Command Line Interface (CLI).
:return:
namespace with arguments
"""
parser = argparse.ArgumentParser(description='Algorithmic composition of dodecaphonic music.')
parser.add_argument(
'-c', '--config_path... | 5,346,290 |
def create_app():
"""
Method to init and set up the Flask application
"""
flask_app = MyFlask(import_name="dipp_app")
_init_config(flask_app)
_setup_context(flask_app)
_register_blueprint(flask_app)
_register_api_error(flask_app)
return flask_app | 5,346,291 |
def read_file(filename=""):
"""reads text file"""
with open(filename, mode='r', encoding='utf-8') as a_file:
print(a_file.read(), end='')
a_file.close() | 5,346,292 |
def find_consumes(method_type):
"""
Determine mediaType for input parameters in request body.
"""
if method_type in ('get', 'delete'):
return None
return ['application/json'] | 5,346,293 |
def preprocess(text):
""" Simple Arabic tokenizer and sentencizer. It is a space-based tokenizer. I use some rules to handle
tokenition exception like words containing the preposition 'و'. For example 'ووالدته' is tokenized to 'و والدته'
:param text: Arabic text to handle
:return: list of tokenized sen... | 5,346,294 |
def login(client, password="pass", ):
"""Helper function to log into our app.
Parameters
----------
client : test client object
Passed here is the flask test client used to send the request.
password : str
Dummy password for logging into the app.
Return
-------
post re... | 5,346,295 |
def define_dagstermill_solid(
name,
notebook_path,
input_defs=None,
output_defs=None,
config_schema=None,
required_resource_keys=None,
output_notebook=None,
output_notebook_name=None,
asset_key_prefix=None,
description=None,
tags=None,
):
"""Wrap a Jupyter notebook in a s... | 5,346,296 |
def barycorr(eventfile,outfile,refframe,orbit_file,output_folder):
"""
General function to perform the barycenter corrections for a Swift event file
eventfile - path to the event file. Will extract ObsID from this for the NICER files.
outfile - path to the output event file with barycenter corrections ... | 5,346,297 |
def denormalize_laf(LAF: torch.Tensor, images: torch.Tensor) -> torch.Tensor:
"""De-normalizes LAFs from scale to image scale.
B,N,H,W = images.size()
MIN_SIZE = min(H,W)
[a11 a21 x]
[a21 a22 y]
becomes
[a11*MIN_SIZE a21*MIN_SIZE x*W]
[a21*MIN_SIZE a22*MIN_SI... | 5,346,298 |
def project_main(GIS_files_path, topath):
""" This main function reads the GIS-layers in GIS_files_path and separates them by raster and vector data.
Projects the data to WGS84 UMT37S
Moves all files to ../Projected_files
Merges the files named 'kV' to two merged shape file of Transmission and Medium Vo... | 5,346,299 |
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