content stringlengths 22 815k | id int64 0 4.91M |
|---|---|
def plot2opencv(fig):
"""Convert a pyplot instance to image"""
buf = _io.BytesIO()
fig.savefig(buf, format='png', bbox_inches='tight', pad_inches=0)
buf.seek(0)
rawbuf = np.frombuffer(buf.getvalue(), dtype='uint8')
im = cv2.imdecode(rawbuf, cv2.IMREAD_COLOR)
buf.close()
return im | 72,200 |
def write_xls(sheet_name, head, data_list):
"""write listed data into excel
"""
try:
wb = openpyxl.Workbook()
ws = wb.get_active_sheet()
except Exception as e:
logger.error(e)
return None
ws.title = sheet_name
row_num = 0
# write table head
for col_num... | 72,201 |
def setup_argparse(parser: argparse.ArgumentParser) -> None:
"""Setup argument parser for ``cubi-tk sodar landing-zone-create``."""
return CreateLandingZoneCommand.setup_argparse(parser) | 72,202 |
def plot1D(data, fig=100, mstyle='-b'):
""" Show result of a 1D scan """
val = data.default_parameter_name()
if fig is not None:
plt.figure(fig)
plt.clf()
MatPlot(getattr(data, val), interval=None, num=fig) | 72,203 |
def _write_artists(output_data: str, spark: SparkSession):
"""Save artists data partitioned by year and artist_id in the parquet format."""
artists_table = spark.sql(select_artists)
artists_table.write.parquet(os.path.join(output_data, 'artists.parquet')) | 72,204 |
def missing_local_with_stage(stage: str, ssm_env: dict, local_env:dict, filter_env: list = []):
"""Returns missing values between ssm stage and local env"""
ssm_env = [x for x in ssm_env.keys() if x not in filter_env]
local_env = [x for x in local_env.keys() if x not in filter_env]
in_ssm = [x for x in ... | 72,205 |
def _slot_history(tracker_dump):
# type: (Dict[Text, Any]) -> List[Text]
"""Create an array of slot representations to be displayed."""
slot_strs = []
for k, s in tracker_dump.get("slots").items():
colored_value = utils.wrap_with_color(str(s),
utils... | 72,206 |
def HTN_classical_partition_function_from_edges(
edges,
beta,
j=1.0,
h=0.0,
site_ind_id="s{}",
site_tag_id="I{}",
bond_tag_id="B{},{}",
):
"""Build a hyper tensor network representation of a classical ising model
partition function by specifying graph edges. There will be a single
... | 72,207 |
def _getThunk_0_2in_1out(vecMathName, callName, vecSize):
"""calls a packed func directly"""
llvmType = _getLLVMType(vecSize)
## output the func definition
cog.outl("define {0} @{1}({0} %ins0, {0} %ins1) nounwind alwaysinline readnone {{".format(llvmType, vecMathName))
cog.outl("entry:")
cog.out... | 72,208 |
def generate_cartesian_coords(molecule: Chem.Mol):
"""
TODO
Parameters
----------
molecule : Chem.Mol
[description]
"""
pass | 72,209 |
async def test_countries(aresponses):
"""Test getting a list of supported countries."""
aresponses.add(
"api.airvisual.com",
"/v2/countries",
"get",
aresponses.Response(
text=load_fixture("countries_response.json"),
headers={"Content-Type": "application/js... | 72,210 |
def country(cert):
"""
Attempt to get the country from a given certificate.
:param cert:
:return:
"""
try:
return cert.subject.get_attributes_for_oid(
x509.OID_COUNTRY_NAME
)[0].value.strip()
except Exception as e:
sentry.captureException()
current... | 72,211 |
def detect_fns_free_variables(source_code, imports_and_functions="",
step_parameters=None):
"""Return the function's free variables.
Free variable: _If a variable is used in a code block but not defined
there, it is a free variable._
An Example:
```
x = 5
def... | 72,212 |
def reactivate(state, username):
"""Reactivate a user."""
sdk = state.sdk
_reactivate_user(sdk, username) | 72,213 |
def assign(grid: Grid, s: Square, d: Digit) -> MaybeGrid:
"""Eliminate all the other values (except d) from grid[s] and propagate.
if a contradiction is detected, return None
"""
others = grid[s].replace(d, "")
for d in others:
if eliminate(grid, s, d) is None:
return None
r... | 72,214 |
def print_received_data(data):
"""Print received data in the terminal
"""
print("Received : '{0}'\n".format(data)) | 72,215 |
def split_types(query):
""" Split a string of multiple :py:class:`MeasurementType` keys (e.g., one
generated by using addition or subtraction of :py:class:`MeasurementType`
objects and/or strings).
:param query: A :py:class:`MeasurementType` or a string containing
multiple :py:c... | 72,216 |
def get_outcome(output: str, test: Test, sig: int):
"""
Parses out the number of passed and failed tests from cb-test output
"""
test_outcome = TestOutcome()
test_outcome.total = 1
test_outcome.passed = 0
test_outcome.name = test.name
test_outcome.is_pov = test.is_pov
test_outcom... | 72,217 |
def unzip_image(zip_path):
"""Unzips a file with a img file inside.
:param zip_path: Path to the zip file to uncompress.
:raises Exception: If there is no .img file inside the zip.
:return: Absolute path to an uncompressed .img file from the zip.
"""
print("Unzipping OS image: {}".format(zip_pa... | 72,218 |
def evaluate():
"""Evaluate on whole test data for DeepSpeech2."""
data_generator = DataGenerator(
vocab_filepath=args.vocab_path,
mean_std_filepath=args.mean_std_path,
augmentation_config='{}',
specgram_type=args.specgram_type,
num_threads=args.num_proc_data,
kee... | 72,219 |
def search():
"""
Return search results for a given query
"""
query = request.args.get("query", "")
if query == "":
return redirect(url_for("main.browse"))
page = int(request.args.get("page", 1))
format = request.args.get("format", "")
scan_ids = request.args.get("includeScan... | 72,220 |
def register_dependency_parse_head(
model,
args,
name,
num_classes=None,
inner_dim=None,
**kwargs,
):
"""Register a span prediction head for a RobertaModel."""
if name in model.classification_heads:
prev_num_classes = model.classification_heads[
name].out_proj.out_fea... | 72,221 |
def bubble_sort(array):
"""
Sorts a list using bubble sort algorithm
Input: A list of integers
Output: A list containing the same integers as the input, but sorted in
ascending order
Sorts by iterating through a list swapping values that are in the wrong order.
Stops when it is imp... | 72,222 |
def issue_dir(issue_id):
"""
input: 123
output: /path/to/repo/gl/i/123
"""
return DIR / "i" / str(issue_id) | 72,223 |
def _read_info(info_filename: str) -> Dict[str, Any]:
"""read info into dictionary"""
with open(info_filename, "r") as info_file:
lines = info_file.readlines()
info = {}
for line in lines:
key, val = line.strip().split("\t")
if key == "stroke":
if ... | 72,224 |
async def test_interval_update(
hass: HomeAssistant, aioclient_mock: AiohttpClientMocker
) -> None:
"""Test the WLED configuration entry unloading."""
entry = await init_integration(hass, aioclient_mock, skip_setup=True)
interval_action = False
def async_track_time_interval(hass, action, interval)... | 72,225 |
def tags(conf, dlcs, *count, **opts):
"""Print all tags, optionally filtered by their count.
% dlcs tags [[ '>' | '<' | '=' ] count]
"""
tags = cached_tags(conf, dlcs, opts['keep_cache'])
if count:
if not count[0].isdigit():
assert len(count) == 1
count = coun... | 72,226 |
def clear_animation_data(object_name):
""" Deletes (also) previously inserted keyframes """
obj = bpy.data.objects[object_name]
obj.animation_data_clear()
bpy.context.scene.update() | 72,227 |
def signal_derivs(zc, params, dparams):
"""
Calculate derivatives of signal covariance w.r.t. cosmological parameters.
"""
derivs = []
# Loop over parameters that should be included in Fisher matrix
pnames = dparams.keys()
pnames.sort()
for pname in pnames:
print " Derivati... | 72,228 |
def view_coach(request, coach_id):
""" A view to show a particular coaches page and their comments"""
coach = get_object_or_404(Coach, pk=coach_id)
if request.method == "POST":
form = CommentForm(request.POST)
if form.is_valid():
comment = form.save(commit=False)
co... | 72,229 |
def replace(filename, stext, rtext):
""" replace string stext with rtext in file filename """
status = True
try:
_input = open(filename, "r")
except Exception, e:
tolog("!!WARNING!!4000!! Open failed with %s" % e)
status = False
else:
try:
output = open(f... | 72,230 |
def unflip(word, word_eol, userdata):
"""/unfip <text> - appends '┬─┬ ノ( ゜-゜ノ)' to the end of the message"""
if len(word_eol) > 1:
send(word_eol[1] + ' ' + UNFLIP)
else:
send(UNFLIP) | 72,231 |
def infer_pip_requirements(model_uri, flavor, fallback=None):
"""
Infers the pip requirements of the specified model by creating a subprocess and loading
the model in it to determine which packages are imported.
:param model_uri: The URI of the model.
:param flavor: The flavor name of the model.
... | 72,232 |
def get_unlucky_days():
"""Returns the days that had article request fails percentage higher
than 1%."""
query = """SELECT to_char(date, 'FMMonth FMDD, YYYY') as date,
error
FROM request_errors_per_dar
WHERE error > 0.01;"""
return format_query(
'... | 72,233 |
def test_update_missing_zone_data(shared_zone_test_context):
"""
Test that updating a zone without providing necessary data returns errors and fails the update
"""
client = shared_zone_test_context.ok_vinyldns_client
result_zone = None
try:
zone_name = 'one-time.'
zone = {
... | 72,234 |
def GetGradleSnippet(args):
"""Forms a gradle snippet to add to the build.gradle file.
Args:
args: an argparse namespace. All the arguments that were provided to this
command invocation.
Returns:
A gradle snippet.
"""
repo_path = _GetRepoPath(args)
gradle_template = """\
Please insert follo... | 72,235 |
def PrepareInitialAcousticModel(dir, run_opts):
""" Adds the first layer; this will also add in the lda.mat and
presoftmax_prior_scale.vec. It will also prepare the acoustic model
with the transition model."""
train_lib.RunKaldiCommand("""
{command} {dir}/log/add_first_layer.log \
nnet3-init... | 72,236 |
def run(config) -> Dict[str, dict]:
"""
Lowpolyfy one or more images using default or user-provided config.
Returns (Dict[str, dict]): A mapping from file paths to the config used to generate them.
"""
if config.run.mode == "single":
results = single(config)
elif config.run.mode == "rep... | 72,237 |
def update_comp_num(node):
"""
Set the ``comp_num`` of ``node`` to the ``comp_num`` of its first child.
INPUT:
- ``node`` -- node whose comp_num needs to be updated
EXAMPLES::
sage: from sage.graphs.graph_decompositions.modular_decomposition import *
sage: forest = Node(NodeType.... | 72,238 |
def load_connector(connector_info):
"""instantiate the connector class"""
connector = importlib.import_module(
f"bookwyrm.connectors.{connector_info.connector_file}"
)
return connector.Connector(connector_info.identifier) | 72,239 |
def pid_file(pid_path=None, pid_file=None, port=0):
""" Create or remove pid file """
global DIR_PID
if not sabnzbd.WIN32:
if pid_path and pid_path.startswith("/"):
DIR_PID = os.path.join(pid_path, "sabnzbd-%d.pid" % port)
elif pid_file and pid_file.startswith("/"):
D... | 72,240 |
def cli(env, identifier):
"""Detail firewall."""
mgr = SoftLayer.FirewallManager(env.client)
firewall_type, firewall_id = firewall.parse_id(identifier)
_firewall = mgr.get_instance(firewall_id)
table = formatting.KeyValueTable(['name', 'value'])
table.align['name'] = 'r'
table.align['valu... | 72,241 |
def axes_contains(ax, obj_list):
"""
Check that a matplotlib.Axes instance contains certain elements.
Parameters
----------
ax : matplotlib.Axes
Axes instance.
obj_list : list of tuples
List of tuples, one for each type of object to look for. The tuple
should be of the ... | 72,242 |
def output_instructions(stream, module, insts, is_raw_mode, newline=True):
"""Output instructions."""
if insts and newline:
stream.write('\n')
for inst in insts:
output_instruction(stream, module, inst, is_raw_mode, indent='') | 72,243 |
def get_globally_rescoped_token(globaltoken, defaultid):
"""Summary - Get a global project scoped auth token
Returns:
STRING: Globally Scoped Object
Args:
globaltoken (string): valid global token
defaultid (string): default projct id
"""
identityURL = 'https://identity.gls.... | 72,244 |
def _bessel_ive_bwd(aux, g):
"""Reverse mode impl for bessel_ive."""
v, z = aux
ive = _bessel_ive_custom_gradient(v, z)
grad_z = g * (
_bessel_ive_custom_gradient(v + 1., z) + (v / z - tf.math.sign(z)) * ive)
_, grad_z = _fix_gradient_for_broadcasting(
v, z, tf.ones_like(grad_z), grad_z)
# No g... | 72,245 |
def compile_cons_check(context):
"""Throw a runtime error if the value in rax is not a cons cell or nil.
Does not modify rax.
See also `compile_list_check`.
"""
error_block = compile_die(b"not a cons cell :(\n", context)
result = []
# mov rdi, rax
result.extend([0x48, 0x89, 0xC7])
... | 72,246 |
def user():
"""
exposes:
http://..../[app]/default/user/login
http://..../[app]/default/user/logout
http://..../[app]/default/user/register
http://..../[app]/default/user/profile
http://..../[app]/default/user/retrieve_password
http://..../[app]/default/user/change_password
http://..... | 72,247 |
def signin_required(include_gitlab_login=False):
"""Check if the user is signed in or the access token is valid and return the user."""
def decorator(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
try:
user = None
if current_user.is_authe... | 72,248 |
def build_dump_structure(path, tensor_name_list, tensor_list, net_name, tensor_info_list):
"""Build dump file structure from tensor_list."""
ranks_run_history = {}
temp_dir = tempfile.mkdtemp(prefix=net_name, dir=path)
for tensor_name, tensor, tensor_info in zip(tensor_name_list, tensor_list, tensor_inf... | 72,249 |
def run_mhsCalculator_berge(temp_dir, efms, keep, opts, verbose):
""" Run the mhsCalculator script
"""
default_opts = {
'm': temp_dir + '/modes.bin',
'r': temp_dir + '/rfile',
'o': temp_dir + '/cutsets.txt',
't': 1,
'b': None,
}
default_opts.update(opts)
... | 72,250 |
def do_encoding(encoder_inputs, seq_len, sett):
"""
"""
rand_unif_init = tf.random_uniform_initializer(-sett.rand_unif_init_mag,
sett.rand_unif_init_mag,
seed=123)
#
with tf.variable_scope('encoder'... | 72,251 |
def branch_and_bound(c, A_ub, b_ub, A_eq, b_eq, bounds, bnbTreeNode=None):
"""
branch_and_bound 对整数规划问题使用「分支定界法」进行*递归*求解。
底层对松弛问题求解使用 scipy.optimize.linprog 完成，
该算法只是在 scipy.optimize.linprog 求解的基础上加以整数约束，
所以求解问题的模型、参数中的 c, A_ub, b_ub, A_eq, b_eq, bounds
与 scipy.optimize.linprog 的完全相同。
问题模型... | 72,252 |
def nn_layer_fn(in_dim, out_dim, layer_name, fn=tf.nn.relu):
"""Builds a function of an nn layer, fully connected to the previous layer."""
with tf.name_scope(layer_name + '_vars'):
weights_shape = [in_dim, out_dim]
weights_stddev = 1.0 / math.sqrt(float(in_dim)) #Xavier initialization
b... | 72,253 |
def resolve_float_or_constant(input_value, accept_none = True):
"""Resolves an input as either a float or chemistry constant."""
if input_value is None:
if accept_none:
return None
else:
raise ValueError(
f"Received invalid value {type(input_value)}."
)
if isi... | 72,254 |
def nextfile():
"""
Close the current file so that the next iteration will read the first
line from the next file (if any); lines not read from the file will
not count towards the cumulative line count. The filename is not
changed until after the first line of the next file has been read.
Before... | 72,255 |
def normalizeCMS( Ddata, thinSfx, scenario, putativeMutPop, complikeSfx, likesTableSfx, statsSfx = '',
DdataNeutral = None, pop2name = pop2name, getio = None ):
"""Compute normalized versions of CMS computed assuming selection in $putativeMutPop,
for all SNPs in all replicas of scenario $scena... | 72,256 |
def test__calculate_enthalpy():
""" test chemkin_io.mechparser.thermo.calculate_enthalpy
"""
ref_ht1 = -42.58312043165988
ref_ht2 = -19.266388540056756
ht1 = chemkin_io.mechparser.thermo.calculate_enthalpy(
SPECIES_POLYNOMIAL, TEMP1)
ht2 = chemkin_io.mechparser.thermo.calculate_enthalpy(... | 72,257 |
def saveimage(filename, myarray):
"""
First ensure your numpy array, myarray, is normalised with the max value at 1.0.
Apply the colormap directly to myarray.
Rescale to the 0-255 range.
Convert to integers, using np.uint8().
Use Image.fromarray().
"""
from PIL import Image # @Unresolve... | 72,258 |
def test_compile_regex_with_blanks():
"""Returns compiled regex from regex with blank spaces."""
regex = "^(\d{3}) (\d{3}) (\d{4})$"
regex_compiled = compile_regex(regex)
assert re.search(regex_compiled, "216 321 1234") | 72,259 |
def get_output_metadata(packer, sample_dim_name):
"""
Retrieve xarray metadata for a packer's values, assuming arrays are [sample(, z)].
"""
metadata = []
for name in packer.pack_names:
n_features = packer.feature_counts[name]
if n_features == 1:
dims = [sample_dim_name]
... | 72,260 |
def test_multiple_exp_fail_diff_exp():
"""This test should fail"""
with Raises(ZeroDivisionError, AttributeError, RuntimeError):
float("not a number") | 72,261 |
def local_users_get(handle, dump=False):
"""
This method gets the list of local users configured on the server
Args:
handle (ImcHandle)
dump (bool)
Returns:
List of AaaUser objects corresponding to the local users
"""
aaa_users = _get_local_users(handle)
users = [x... | 72,262 |
def sort_data(PDB_files, data):
"""
Sorts data by name according to PDB files
"""
sort=natsort.natsorted(zip(PDB_files, data))
PDB_files=[tuple[0] for tuple in sort]
if type(data)==list:
data=[tuple[1] for tuple in sort]
else:
data=np.vstack([tuple[1] for tuple in sort])
... | 72,263 |
def test_invalid_cwts(stocking_event_dict, xls_choices, cache, value):
"""These are all invalid cwt patterns that should be considered invalid and pass."""
data = stocking_event_dict
data["tag_no"] = value
form = XlsEventForm(data=data, choices=xls_choices, cache=cache)
status = form.is_valid()
... | 72,264 |
def _random_shuffle(*lsts):
"""Randomly shuffle a dataset. Applies the same permutation to each list
(to preserve mapping between inputs and targets).
:param *lsts: variable number of lists to shuffle.
:return: shuffled lsts.
"""
permutation = np.random.permutation(len(lsts[0]))
shuffled = ... | 72,265 |
def extract_subgraph(graph, object, task, hop=3):
"""
This function extract n-hop neighbors for an object and task pairs.
ToDo: using the subgraph is slightly more involved since node index in the subgraph needs to be adjusted
:param object:
:param task:
:param hop:
:return:
"""
ob... | 72,266 |
def import_records(c, filename='data.json'):
"""
Import database records from a file
"""
# Get an absolute path to the supplied filename
if not os.path.isabs(filename):
filename = os.path.join(localDir(), filename)
if not os.path.exists(filename):
print(f"Error: File '{filename... | 72,267 |
def choose_report(account_type):
"""
Choose report object by account type
Args:
account_type(string): account type
"""
if account_type == SecuritiesType.futures:
report_obj = FuturesReport
else:
raise Errors.INVALID_ACCOUNT_TYPE
return report_obj | 72,268 |
def search_results(search_request):
"""
Search results from given search paramaters.
"""
ghh, _ = try_ghh(session)
search_users = session["search_users"]
search_orgs = session["search_orgs"]
search_repos = session["search_repos"]
ignore = session["ignore"]
if ghh is not None:
... | 72,269 |
def test_predict(): #FIXME: there is a warning in this test (numpy.ufunc size changed), I can't figure out how to fix it.
"""Send a request to the API using a sample from the model
and evaluates the response.
"""
model_dir = 'tree_model'
# set the model saved at models
model = HousePriceModel... | 72,270 |
def test_experiments_with_NULL_sample_name(two_empty_temp_db_connections,
some_paramspecs):
"""
In older API versions (corresponding to DB version 3),
users could get away with setting the sample name to None
This test checks that such an experiment gets corre... | 72,271 |
def fproperty(func):
"""Decorator for a function that returns (fget, fset, fdel, doc)"""
return _property(*func()) | 72,272 |
def connect_memdb():
"""
:return: Instance of an in memory database.
:rtype: SimpleSQLite
:Example:
:ref:`example-connect-sqlite-db-mem`
"""
return SimpleSQLite(MEMORY_DB_NAME, "w") | 72,273 |
def deeplabv3_resnet50_features(pretrained=False, **kwargs):
"""Constructs a ResNet-50 model.
Args:
pretrained (bool): If True, returns a model pre-trained on Coco
"""
model = torchvision.models.segmentation.deeplabv3_resnet50(pretrained=pretrained)
model.classifier._modules = {k: model.clas... | 72,274 |
def extract_zip(zipfile, output_dir):
"""
Extracts a zipfile without the uppermost folder.
Parameters
----------
zipfile: zipfile object
Zipfile object to extract.
output_dir: str | Path
Directory to extract files to.
"""
output_dir = Path(output_dir)
if zipfile.test... | 72,275 |
def test_level_order_traversal():
"""
@ref https://leetcode.com/problems/binary-tree-level-order-traversal/description/
@brief Given root of a binary tree, return level order traversal of its
nodes' values, (i.e. from left to right, level by level).
"""
r = Node(3)
r.left = Node(9)
r.rig... | 72,276 |
def parser(startpath: str) -> tuple:
"""Utility method to parse the filesystem"""
file_and_hash = {}
dirs_list = []
files_lst = []
def parse(startpath1: str) -> tuple:
for root, dirs, files in os.walk(startpath1):
dir_content = []
for dir in dirs:
if ... | 72,277 |
def get_multiclass_labels():
"""
0: normal
1: abnormal
2: notable findings/abnormalities that are not relevant or within normal limits (WNL)
:return:
"""
return [0, 1, 2] | 72,278 |
def test_yolact_head_loss():
"""Tests yolact head losses when truth is empty and non-empty."""
s = 550
img_metas = [{
'img_shape': (s, s, 3),
'scale_factor': 1,
'pad_shape': (s, s, 3)
}]
train_cfg = rflib.Config(
dict(
assigner=dict(
type='... | 72,279 |
def _boundary_spatial_dissim(data, group_pop_var, total_pop_var, standardize=False):
"""Calculation of Boundary Spatial Dissimilarity index.
Parameters
----------
data : a geopandas DataFrame with a geometry column.
group_pop_var : string
The name of variable in data that contains the popul... | 72,280 |
def test_skill_template_variables():
"""
Test variable coverage for `parameters_skill.tpl`.
"""
allowed = base.ParametersSkillParser.FIELDS
def is_covered_variable(field):
"""
Check if a skill field is covered during parsing.
"""
# Check for a regularly allowed fie... | 72,281 |
def prepare_switchboard(
audio_dir: Pathlike,
transcripts_dir: Optional[Pathlike] = None,
sentiment_dir: Optional[Pathlike] = None,
output_dir: Optional[Pathlike] = None,
omit_silence: bool = True,
absolute_paths: bool = False
) -> Dict[str, Union[RecordingSet, Supervisio... | 72,282 |
def k1_mean(success_tag, ms_results):
""" Reports the expected value of k1, the rate constant for
the bimolecular step of a resting-set reaction. """
success_kcolls = np.ma.array(ms_results['kcoll'], mask=(ms_results['tags']!=success_tag))
n = int(np.sum(ms_results['valid']))
n_s = int(np.sum(~success_kcolls.... | 72,283 |
def get_request(filename, persistent = True):
"""
Helper function to generate HTTP GET requests.
Not used in application due to python overhead
in string manipulation.
"""
data = 'GET /{} HTTP/1.1\r\n'.format(filename)
data += 'Host: {}:{}\r\n'.format(ADDR,PORT)
data += 'Connection:... | 72,284 |
def update_express_route_port_link(cmd, instance, parent, express_route_port_name, link_name,
macsec_cak_secret_identifier=None, macsec_ckn_secret_identifier=None,
macsec_sci_state=None, macsec_cipher=None, admin_state=None):
"""
:param cmd:
... | 72,285 |
def command_line_parser():
""" Hmmm well return all the parser argument
Returns
-------
Return args parser
"""
parser = argparse.ArgumentParser()
parser.add_argument("image_path", type=str,
help="Image you want to extract individual faces")
parser.add_argument("... | 72,286 |
def test_identify_data(create_fake_fits, name, expconf, expstat):
""" test correct status messages are returned with identify_data """
filename = create_fake_fits(name)
name = name if 'generic' not in name else []
try:
valid_format, config = identify_data(filename)
status = 'Success: Va... | 72,287 |
def test_salt_cp(master, minion, salt_cp, tempfiles):
"""
Test copying a file from the master to the minion
"""
tfile = tempfile.NamedTemporaryFile(delete=True)
tfile.close()
dest = tfile.name
try:
contents = "id: foo"
sls = tempfiles.makeslsfile(contents)
assert mast... | 72,288 |
def SendServerCommand(s, command):
""" Send a command to the server and get the response.
Send the command out to the server and pass the response back to the calling
function.
"""
# send the command to the server
s.sendall(command)
# get the response from the server
code, text = GetS... | 72,289 |
def _or(self, other):
"""Compute the element-wise OR bitwise operation.
Parameters
----------
other : Union[dragon.Tensor, number]
The value to compute with.
Returns
-------
dragon.Tensor
The output tensor.
See Also
--------
`dragon.bitwise.bitwise_or(...)`_
... | 72,290 |
def test_file_no_data(get_branch_info, try_disk, data_collector):
"""
Configuration from file is loaded from the "uploader.json" key.
"""
config, pconn = collect_args()
with raises(ValueError):
collect(config, pconn)
data_collector.return_value.run_collection.assert_not_called()
dat... | 72,291 |
def zone_shp_overlay(zone_name_shp):
"""Select pumas within a zonal load area
:param str zone_name_shp: name of zone in BA_map.shp
:return: (*pandas.DataFrame*) puma_data_zone -- puma data of all pumas within zone, including fraction within zone
"""
shapefile = gpd.GeoDataFrame(
gpd.read_... | 72,292 |
def find_vendor(macs: str, neigh: list):
"""
This function searches for the NIC vendors in the IEEE DB
"""
# local vars
clean_mac_db = []
# Creating MAC DB in Python dictionary format
for entry in macs.splitlines():
if re.match("^[A-Z0-9]+\-", entry):
tc = {}
... | 72,293 |
def sort_descendants():
"""Sort all descandant children alphabetically."""
selection = cmds.ls(selection=True)
nodes = cmds.listRelatives(
selection, allDescendents=True, type="transform"
)
nodes = [x for x in nodes if not cmds.listRelatives(x, shapes=True)]
nodes.extend(selection)
... | 72,294 |
def touch_to_provisioned():
"""
"""
# FIXME: Empty, remove. | 72,295 |
def build_image_features(network_fn, images):
"""Builds the CNN model and extract image features
Args:
network_fn : CNN network
images: images
Returns:
net: extracted image features
end_points: end points
"""
# Extract Image features from CNN networks
features, e... | 72,296 |
def sgd_level(bot, update):
""" Get Latest FX """
text_bot = ['The markets may be bad, but i slept like baby, every hour i woke up and cry. :smiling_imp:',
'The one with the shortest queue is the best :scream:',
'If only everyone displays FX rates as clearly as me :smirk:',
... | 72,297 |
def define_session(module_path=None, **kwargs):
"""Define a session object under ``module_path``."""
module_path = module_path or clients.__name__
module_labels = labels.make_labels(module_path, *SESSION_LABEL_NAMES)
setup_session(
module_labels,
parameters.define(
module_pat... | 72,298 |
def test_call_step_with_args_and_kwargs(
int_step_output, step_with_two_int_inputs
):
"""Test that a step can be called with a mix of args and kwargs."""
with does_not_raise():
step_with_two_int_inputs()(int_step_output, input_2=int_step_output) | 72,299 |
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