content stringlengths 22 815k | id int64 0 4.91M |
|---|---|
def export_grid(gdf, file):
"""This function produces a shapefile with the shapes contained in the specified
GeoDataFrame
:param gdf: A GeoDataFrame with the polygons of the grid
:param file: The filename or path where the shapefile should be saved (including the `.shp` extension)
"""
print... | 54,400 |
def parse_args():
"""
Parse the command line arguments and return an object representing the
command line (as returned by argparse's parse_args()).
Returns
-------
The commandline argparse namespace.
"""
parser = argparse.ArgumentParser(description='Utility for listing or '
... | 54,401 |
def test_flag_robots(app, mock_user_ctx, request_headers, objects):
"""Test flag_robots preprocessor."""
def build_event(headers):
with app.test_request_context(headers=headers):
event = file_download_event_builder({}, app, objects[0])
return flag_robots(event)
assert build_even... | 54,402 |
def scan(graph, connectionInfo, logger, thread):
"""
Get all VMs that exist on a xen server.
Necessary values in the configuration file of this collector module:
- timeout Timeout this collector module shall use (Integer)
- xenuri The URI opf the Xen server
- xenuser The user... | 54,403 |
def health_indicators_warehouse():
"""
Grab everything from the health indicator warehouse tagged Obesity.
"""
print '~~~~ Fetching master dataset list from Indicator "Warehouse" ~~~~'
content = urllib.urlopen(HEALTHINDICATORS_URL).read()
base_dom = fromstring(content)
base_dom.make_links_ab... | 54,404 |
def plot_mean_and_CI(axes, mean, lb, ub, label, freqs, linestyle='-'):
""" Plot mean and confidence boundaries.
Args:
axes: plt.axes
mean: np.ndarray
lb: np.ndarray
ub: np.ndarray
label: string
freqs: list
linestyle: string
Returns: plt.axes
... | 54,405 |
def messages(request):
""" Display some messages """
adjax.success(request, "This is your first success")
adjax.info(request, "This is your first info")
adjax.warning(request, "This is your first warning")
adjax.error(request, "This is your first error")
adjax.debug(request, "This is your first ... | 54,406 |
def test_provider(horse, provider):
"""All Horse objects should contain a reference to the provider instance from which they were sourced"""
assert horse.provider == provider | 54,407 |
def locked(acquire, release):
"""Decorator taking two methods to acquire/release a lock as argument,
returning a decorator function which will call the inner method after
having called acquire(self) et will call release(self) afterwards.
"""
def decorator(f):
def wrapper(self, *args, **kwarg... | 54,408 |
def test_update_local(mock_cache):
"""
Tests the ``update``-function on the minion's local cache.
Updates mine functions from pillar+config only.
"""
kernel_ret = "Linux!"
foo_ret = "baz"
ip_ret = "2001:db8::1:3"
config_mine_functions = {
"ip_addr": {"mine_function": "network.ip_... | 54,409 |
def app_checkout_entry_info(source, sn):
"""app支付info接口
deprecated之前只有lvye_skiing接入
"""
from api_x.zyt.evas.payment.config import PaymentScene
return redirect(config.HOST_URL + url_for('biz_entry.pay_info', sn=sn, payment_scene=PaymentScene.lvye_skiing)) | 54,410 |
def linreg(X, Y):
"""
Summary
Linear regression of y = ax + b
Usage
real, real, real = linreg(list, list)
Returns coefficients to the regression line "y=ax+b" from x[] and y[], and R^2 Value
"""
if len(X) != len(Y): raise ValueError("unequal length")
N = len(... | 54,411 |
def _handle_row_wise_sharding_sharded_tensor(
input, world_size, weight, local_shard_t, bias, pg
):
"""
Entry-point function to handle the logic of row-wise sharding of weight
for Linear when the input is a sharded tensor. (Detailed explanations
of the logic can be found in the comment for sharded_l... | 54,412 |
def put_tags(new_tag_list, cgx_dict):
"""
This function looks at a CloudGenix config object, and puts tags.
:param new_tag_list: List of tags to add if not already present.
:param cgx_dict: CloudGenix config dict, expects "tags" keys supported in root.
:return: CloudGenix config dict with added tags... | 54,413 |
def perturb_actions(states, actions, perturbations, limits=None):
"""Create state-action pairs by perturbing the actions.
Parameters
----------
states : ndarray
An (N x n) array of states at which we want to generate state-action
pairs.
actions : ndarray
An (N x m) array of ... | 54,414 |
def create_histogram(data, figure_path, range_min=-70, range_max=20,
step=10, xlabel='Power [dB]'):
"""Create histogram
Parameters
----------
data : list,
List of several data sequences
figure_path : str,
Filepath to be output figure
range_min : int, optional... | 54,415 |
def median(image_set, size=None):
"""
Applies a median filter to the image set.
This function is a wrapper around scipy.ndimage.filters.median_filter
"""
if size is None:
print('Please set a filter size. Defaulting to size = 3.')
size = 3
print('Applying median filte... | 54,416 |
def conditional_demographic_parity_ratio(labels, pred, attr, groups):
"""
Calculate conditional demographic parity by calculating the average
demographic parity ratio across bins defined by `groups`.
"""
ratios = []
for group in set(groups):
mask = groups == group
ratios.append... | 54,417 |
def get_all_files(path: Path, recursion=True):
"""
获取指定目录下的所有文件
path: 路径
recursion: 是否递归遍历子文件夹
"""
for f in path.iterdir():
if f.is_file():
yield f
else: # f.is_dir() == True
yield from get_all_files(f, recursion=recursion) | 54,418 |
def calculate_ddx_G2(neighborindices, neighborpositions, eta, Rc, Rs, i, m, l):
"""
Calculates coordinate derivative of G2 symmetry function for atom at
index i and position Ri with respect to coordinate x_{l} of atom index
m.
Parameters
---------
neighborindices : list of int
List ... | 54,419 |
def _correct_module_lettercase(module: str):
""" 修正模块的大小写.
示例:
'qtquick-window' -> 'QtQuick.Window'
'qtgraphicaleffects' -> 'QtGraphicalEffects
注意: 存在一些特殊情况:
'qt-labs-animation' -> 'Qt.labs.animation'
思路:
1. 我们需要把模块的名字按照词来拆分:
'qtgraphicaleff... | 54,420 |
def normalize(x, axis=None, degree = 2, avoid_nans = False):
"""
Normalize array x.
:param x: An array
:param axis: Which axis to normalize along
:param degree: Degree of normalization (1 for L1-norm, 2 for L2-norm, etc)
:param avoid_nans: If, along an axis, there is a norm of zero, then normali... | 54,421 |
def get_default_curriculum_env_config(method, env_config=None):
"""Get default curriculum env config.
Args:
method: The method used in curriculum learning.
env_config: Optional. The env config. If None, use the default env
config file. Default, None.
Returns:
A curriculum env config.
"""
i... | 54,422 |
def _get_libc():
"""Load the lib-C for unix systems."""
libc = _system_libraries.get("libc")
if libc is None:
libc_name = find_library("c")
if libc_name is None: # pragma: no cover
return None
libc = ctypes.CDLL(libc_name, mode=_RTLD_NOLOAD)
_system_libraries["li... | 54,423 |
def test_update(cursor):
"""verify update"""
test = MockTable(the_key=10, name='a', yeah='a')
test.name = 'test'
test.yeah = 'lala'
run_async(test.save, cursor)
assert cursor.query == \
"UPDATE 'tester' SET 'name'=%s,'yeah'=%s WHERE 'the_key'=%s"
assert cursor.query_after == \
... | 54,424 |
async def read(ctx):
"""取 k 线数据
Args:
ctx:
channel: okex 频道名, 如 'swap/candle60s'
{'instrument_id': 'BTC-USD-SWAP','n':100} n 可选参数，取最新的 n 条 k 线数据
返回：最新的 n 条 k 线数据列表。
subscribe 'okex/name/swap/candle60s' 可以在有新 k 线时得到通知，通知内容为最新 k 线的 timestamp,表示这个 timestamp 之前的 k 线已经确定，可... | 54,425 |
def try_multiple_dec_s3(func):
"""An S3 specific adapter to @try_multiple_dec
To decorate func to try multiple times after some sleep upon encountering
some intermittent error from S3
"""
return try_multiple_dec(
ntrials=4,
duration=2.,
increment_type... | 54,426 |
def tolerance(*args, **kwargs):
"""
This command sets tolerances used by modelling operations that require a tolerance, such as surface fillet. Linear
tolerance is also known as positionaltolerance. Angular tolerance is also known as tangentialtolerance. In query mode,
return type is based on queried fl... | 54,427 |
def standardize_education_level(education_column):
"""This function aims at standardizing the education level. The column
has mixed types (ints and categories, with overlapping categories).
Args:
education_column (pd.Series): column in which we will replace the identified
matching values.
... | 54,428 |
def test_ass_event_list_append_reindex() -> None:
"""Test that event insertion populates the event.index property."""
event1 = AssEvent()
event2 = AssEvent()
events = AssEventList()
events.append(event2)
events.insert(0, event1)
assert event1.index == 0
assert event2.index == 1
asser... | 54,429 |
def main(argv):
"""Creates an operator group for the operator CSV if the CSV does not support AllNamespaces."""
op_group_file = None
op_name = None
csv_file = None
namespace = None
namespace2 = None
installmode = None
try:
opts, args = getopt.getopt(argv, "g:o:v:n:a:i:", ["opgr... | 54,430 |
def neutral_key_state(game: Game):
""" Logic to execute when no relevant key is pressed. Returns updated neutral_count """
player = game.player
previous_orientation = player.orientation
if player.is_moving_up():
player.reset_speed()
player.orientation = DIRECTIONS.get(0)
game.sc... | 54,431 |
def _to_bel_lines_footer(graph):
"""Iterate the lines of a BEL graph's corresponding BEL script's footer.
:param pybel.BELGraph graph: A BEL graph
:rtype: iter[str]
"""
unqualified_edges_to_serialize = [
(u, v, d)
for u, v, d in graph.edges(data=True)
if d[RELATION] in UNQUA... | 54,432 |
def reshape_from_matrix(output_tensor, orig_shape_list):
"""Reshapes a rank 2 tensor back to its original rank >= 2 tensor."""
if len(orig_shape_list) == 2:
return output_tensor
output_shape = get_shape_list(output_tensor)
# output_shape = tf.shape(output_tensor)
orig_dims = orig_shape_list[0:-1]
widt... | 54,433 |
def git_change_audit(event: KubernetesAnyChangeEvent, action_params: GitAuditParams):
"""
Audit Kubernetes resources from the cluster to Git as yaml files (cluster/namespace/resources hierarchy).
Monitor resource changes and save it to a dedicated Git repository.
Using this audit repository, you can ea... | 54,434 |
def compute_unconstrained_optimization_weights(cov, mean, market_return, rfr, market_var, l=None):
"""
"""
# risk aversion
if l is None:
l = (market_return - rfr) / market_var
return np.dot(np.linalg.inv(l*cov), mean) | 54,435 |
def get_coordinates_partition_path(coordinates_dir: str,
partition_type: utils.PartitionType) -> str:
"""Gets the path to the coordinates for the provided partition file.
Args:
coordinates_dir: A directory containing coordinates files.
partition_type: A p... | 54,436 |
def setup_animation(tracks, step_interval):
"""
Set up data structures and a matplotlib FuncAnimation instance for
animating a list of track DataFrames.
:param tracks: list of track DataFrames
:param step_interval: step interval for animation (e.g., '15S')
:return: FuncAnimation instance
"""... | 54,437 |
def eval_standard(ner_model, examples, label=None):
""" Evaluates the model using the standard evaluation metrics
If label parameter is not defined, the scores will be calculated for the whole document,
otherwise it will calculate the scores for the selected label only
Parametres
----------... | 54,438 |
def test_controller_given_init_positions(model_img, model, net_input):
"""
:param model_img: directory for the output image of the model
:param model: index of the model
:param net_input: input of the network (between: prox_values, prox_comm and all_sensors)
"""
from generate_simulation_data im... | 54,439 |
def calc_E_G_C_hs_d_t():
"""冷房設備機器のガス消費量（MJ/h）(23b)を計算する
Args:
Returns:
ndarray: 冷房設備機器のガス消費量（MJ/h）
"""
return calc_E_G_C_hs_MR_d_t() + calc_E_G_C_hs_OR_d_t() | 54,440 |
def Keplerian1D_neg(x, mass=1., v0=0., r0=0.):
"""Computes the keplerian velocity at requested distances.
Args:
x (array_like):
Distances to the central object.
mass (float, optional):
Mass of the central object.
v0 (float, optional):
Velocity offset ... | 54,441 |
def process_modules_csv(drcty):
""" Separate out MFG from model and append these columns to base data
frame """
dp = os.path.join(os.getcwd(), drcty)
fp = os.path.join(dp, 'CEC Modules.csv')
df = pd.read_csv(fp, index_col=0, skiprows=[1,2])
names = list(df.index.values)
mfgs = list()
... | 54,442 |
def create_sample_table(word_count):
""" Create negative sample table for vocabulary, words with
higher frequency will have higher occurrences in table.
"""
table = []
frequency = np.power(np.array(word_count), 0.75)
sum_frequency = sum(frequency)
ratio = frequency / sum_frequency
co... | 54,443 |
def stringify_body(request_params):
"""Json dump the data to string if not already in string
"""
data = request_params.get('data')
if data and not isinstance(data, (str, unicode)):
# datetime is not json serializable, use str()
if isinstance(data, (datetime,)):
request_params... | 54,444 |
def create_supervised_evaluator(
model: nn.Module, metrics: Dict, device, dtype,
output_transform=lambda x, y, y_pred: (y_pred, y,)):
"""
Factory function for creating an evaluator for supervised models.
Args:
model (`torch.nn.Module`): the model to train.
metrics (dict of str - :cl... | 54,445 |
def post(activity: dict, collection_id=None, **kwargs):
"""Celery task to deal with data post processing."""
execution = execution_from_collection(activity, collection_id=collection_id, activity_type=post.__name__)
collection = execution.activity.collection
scene_id = activity['sceneid']
logging.... | 54,446 |
def test_md030_bad_configuration_ol_single():
"""
Test to verify that a configuration error is thrown when supplying the
ol_single value with a string that is not an integer.
"""
# Arrange
scanner = MarkdownScanner()
supplied_arguments = [
"--set",
"plugins.md030.ol_single=n... | 54,447 |
def feed_forward_cnn_small_categorical_fun(action_space, config, observations):
"""Small cnn network with categorical output."""
obs_shape = common_layers.shape_list(observations)
x = tf.reshape(observations, [-1] + obs_shape[2:])
with tf.variable_scope("network_parameters"):
dropout = getattr(config, "drop... | 54,448 |
def check_next_in_request(request):
"""
Проверяет наличие слова 'next' в объекте запроса request методе POST
:param request:
:return:
"""
return True if 'next' in request.POST else False | 54,449 |
def save_range_map_meta():
"""
Download the meta data (CSV table) for the range maps.
This file lets us know the URLs of the raster map images.
More info:
https://cornelllabofornithology.github.io/ebirdst/index.html
Click "Introduction - Data Access and Structure" for info on the data.
"""
... | 54,450 |
def test_dijkstra_with_empty_graph_raises_error(empty_weight_graph):
"""Test that ValueError raised if dijkstra used on empty graph."""
with pytest.raises(ValueError):
empty_weight_graph.dijkstra_min(4, 19) | 54,451 |
def build_data_pipeline(
chain: List[Callable], kwargs: DataFuncKwargs, args_mut: DataFuncArgsMut
):
"""
Higher order function
:param chain: array of callable
:param **kwargs: any kwargs you like
"""
for call in chain:
# note: returned kwargs are not utilized to guarantee immutabilit... | 54,452 |
def tokenize_by_word(text, deacc):
"""Tokenize input text. Before tokenizing transforms text to lower case and removes accentuation and acronyms set
:const:`~gensim.summarization.textcleaner.AB_ACRONYM_LETTERS`.
Parameters
----------
text : str
Given text.
Returns
-------
gener... | 54,453 |
def stub_replace(mod_name):
"""Replace a module from the SDK/Rutime.
Replaces it with a stub provided in ``stubs/``.
Used for
* ``subprocess``: Needed by concurrency primitives. We don't actually
use these primitives in most of our libraries, but we do use the
interface.
* ``_multip... | 54,454 |
def _iterate_property_value(
text: str,
include: Optional[Sequence[str]] = None,
exclude: Optional[Sequence[str]] = ()
) -> Iterator[Tuple[str, str]]:
"""Returns a series of (key, value) tuples from a k = v string."""
# Normalize spaces around equal sign so that the negative lookahead works
text... | 54,455 |
def overlap_slices(large_array_shape, small_array_shape, position):
"""
Modified version of `~astropy.nddata.utils.overlap_slices`.
Get slices for the overlapping part of a small and a large array.
Given a certain position of the center of the small array, with
respect to the large array, tuples o... | 54,456 |
def mrr(scores: torch.Tensor) -> np.float:
""" Tested | Accepts one (n,) tensor """
ranks = (torch.argsort(scores, dim=0) == 0).nonzero()[0]
recirank = 1.0 / (ranks + 1).float()
return recirank.detach().cpu().numpy().item() | 54,457 |
def write_to_raveler(sps, sp_to_segment, segment_to_body, directory, gray=None,
raveler_dir='/usr/local/raveler-hdf', nproc_contours=16,
body_annot=None):
"""Output a segmentation to Raveler format.
Arguments:
- sps: the superpixel map (nplanes * nx * ny numpy n... | 54,458 |
def rotmat(x, origin=(0, 0, 0), upvector=(0, 0, 1)):
"""
Given a position vector x, find the rotation matrix to r,h,v coordinates.
"""
x = numpy.asarray(x) - numpy.asarray(origin)
nr = x / numpy.sqrt((x * x).sum())
nh = numpy.cross(upvector, nr)
if all(nh == 0.0):
nh = numpy.cross((1... | 54,459 |
def curry(func):
"""Curry a function, but keep the docstring
Args:
func: a function to curry
Returns:
a curried function
>>> def add(a, b):
... '''Add stuff'''
... return a + b
>>> curry(add)(1)(2)
3
>>> print(curry(add).__doc__)
Add stuff
"""
retur... | 54,460 |
def score_func(house_data, venue_data):
"""Function for calculating location-based score of a house.
Function gets a house and venues within 1 km radius of that house,
calculates each venue's influential score on that house with dividing
venue's check-in count with the distance.
With that division,... | 54,461 |
def bold(s):
"""Return the string bold.
Source: http://stackoverflow.com/a/16264094/2570866
:param s:
:type s: str
:return:
:rtype: str
"""
return r'\textbf{' + s + '}' | 54,462 |
def train(
n_layer,
init_scale=1,
scale_upper_bound=128,
accum_upper_bound=4096,
method="approx_range",
update_per_n_iteration=1,
warmup_attr_ratio=None,
warmup_n_epoch=None,
n_class=10,
manual_seed=0,
train_batch=128,
device=-1,
learnrate=0.1,
):
""" Train functi... | 54,463 |
def print_item(group):
"""Print an Azure object instance."""
print("\tName: {}".format(group.name))
print("\tId: {}".format(group.id))
print("\tLocation: {}".format(group.location))
print("\tTags: {}".format(group.tags))
if hasattr(group, 'properties'):
print_properties(group.properties) | 54,464 |
def verify_access_key(key):
"""
Confirm that the access key is valid.
:param str key: Access key string.
"""
try:
access_key = models.AccessKey.objects.get(key=key)
except models.AccessKey.DoesNotExist:
return None
return access_key | 54,465 |
def send_sns_message(sns_client, payload, sns_topic_arn):
"""Publishes the message to sns.
Arguments:
sns_client (client): The boto3 client for SQS
payload (dict): the payload to post to SNS
sns_topic_arn (string): the arn for the SNS topic
"""
dumped_payload = get_escaped_json... | 54,466 |
def plot_zone_income_histogram(calculate = True,
save_path = 'Figures/Zoning/income_housing_typology.svg',
cache_path = 'shared_data/calculations/zoning_income_data.csv'):
""" Plots the distribution of incomes conditional on broad zones in Austin and D... | 54,467 |
def filter_first_altloc(atoms, altloc_ids):
"""
Filter all atoms, that have the first *altloc* ID appearing in a
residue.
Structure files (PDB, PDBx, MMTF) allow for duplicate atom records,
in case a residue is found in multiple alternate locations
(*altloc*).
This function is used to r... | 54,468 |
def test_config(mocker, plugin_no_server, qtbot):
"""Test that config page can be created and shown."""
dlg = ConfigDialog()
page = NotebookConfigPage(plugin_no_server, parent=plugin_no_server)
page.initialize()
dlg.add_page(page)
dlg.show()
qtbot.addWidget(dlg)
# no assert, just check t... | 54,469 |
def dlqr(A, B, Q, R, optimal_cost_function=False):
"""Solves for the optimal lqr controller.
x(n+1) = A * x(n) + B * u(n)
J = sum(0, inf, x.T * Q * x + u.T * R * u)
"""
# P = (A.T * P * A) - (A.T * P * B * numpy.linalg.inv(R + B.T * P *B) * (A.T * P.T * B).T + Q
# 0.5 * X.T * P * X -> optimal co... | 54,470 |
def test_get_integration_instance_local_error(get_integration):
"""
.get_by_internal_integration() should fail for local integrations
"""
local_integration = get_integration(is_local=True)
assert models.Application.objects.count() == 0
with pytest.raises(ValueError):
models.Application.o... | 54,471 |
def add_single_scale_rpn_losses(model):
"""Add losses for a single scale RPN model (i.e., no FPN)."""
# Spatially narrow the full-sized RPN label arrays to match the feature map
# shape
model.net.SpatialNarrowAs(
['rpn_labels_int32_wide', 'rpn_cls_logits'], 'rpn_labels_int32'
)
if cfg.T... | 54,472 |
def htons(*args,**kw):
"""htons(integer) -> integer
Convert a 16-bit integer from host to network byte order."""
pass | 54,473 |
def product(data):
"""
Generate the product for the entries specified by the data.
"""
return "tRNA-{aa} ({anticodon})".format(
aa=data["metadata"]["isotype"],
anticodon=data["metadata"]["anticodon"],
) | 54,474 |
def _pad_image(image, factor=2):
"""Enlarges the image canvas, filling new pixels with colors at the edge.
:param image: An RGB image
:param factor:
A scalar representing the factor in which the canvas is to be enlarged.
A factor of 2 will double the canvas, a factor of 1 will keep it
... | 54,475 |
def change_multi_asset_mode(self, multiAssetsMargin: str, **kwargs):
"""
|
| **Change Multi-Assets Mode (TRADE)**
| *Change user's Multi-Assets mode (Multi-Assets Mode or Single-Asset Mode) on Every symbol*
:API endpoint: ``POST /fapi/v1/multiAssetsMargin``
:API doc: https://binance-docs.github... | 54,476 |
def get_image_data(docx_file_path, image_name):
"""
Return base 64 encoded data for the image_name that is stored in the
docx_file_path.
"""
with ZipFile(docx_file_path) as f:
images = [
e for e in f.infolist()
if e.filename == 'word/media/%s' % image_name
]
... | 54,477 |
def export_menu(self, context):
"""
This function creates the export menu item. This will be referenced in other functions
as a means of appending and removing it's contents from the top bar editor class
definition.
:param object self: This refers the the Menu class definition that this function wi... | 54,478 |
async def get_a_user(user_id):
"""
Get a single user
---
/api/users/{user_id}:
get:
summary: Buscar um usuário pelo ID
security:
- APIKeyHeader: []
tags:
- User
parameters:
- in: path
name: user_id
required: true
schema:
... | 54,479 |
def extract_string_from_tensor(input_ids: Tensor, mode="single",config = None, tokenizer = None):
"""
Args:
input_ids(Tensor): input tensor of sequence index. Shape: (self.batchsize,self.seq_length)
mode(str): "pair","single"and "CBT", "pair" for tasks with paired inputs, such ... | 54,480 |
async def create_deliverer_keyboard(
customer_tg_id,
button_text: str,
callback_action: str,
) -> InlineKeyboardMarkup:
"""Creates a keyboard for delivery man."""
keyboard = [
[
InlineKeyboardButton(
text=button_text,
callback_data=f'{callback_acti... | 54,481 |
def add_docker():
"""
Create volume mappings for `docker`, `nvidia-docker` if present and the
various components like the unitx socket for docker in the container to
communicate back to the host.
"""
pass
# can i query docker for the location of the docker for the location of the
# socke... | 54,482 |
def add_weeks(self):
"""Check the addWeeks function with DateTime64 extended range."""
add_subtract_functions(
clh_func="addWeeks",
py_key="days",
test_range=range(6),
years_padding=(0, 1),
modifier=7,
) | 54,483 |
def run_homecontrol(config: dict, config_file: str, start_args: dict):
"""
Runs HomeControl
config: dict
The loaded config file
config_file: str
Path to the config file
start_args: dict
The commandline arguments by ArgumentParser
"""
loop = asyncio.get_event_loop()
... | 54,484 |
def get_trial_id():
"""Trial id for the corresponding trial of this Trainable.
For function API use only. Do not call this method in the Class API. Use
`self.trial_id` instead.
"""
_session = get_session()
return _session.trial_id | 54,485 |
def import_maxquant_data(
file: str,
sample: Union[str, list, None] = None
) -> pd.DataFrame:
"""Import peptide level data from MaxQuant.
Args:
file (str): The name of a file.
sample (Union[str, list, None]): The unique raw file name(s) to filter the original file. Defaults to None. In ... | 54,486 |
def cuda_step_euler(last, dt, drift, volatility, noise, res):
""" Approximate SDE in one time step with Euler scheme with cuda u-funcs"""
for i in range(last.shape[0]):
res[i] = last[i]
res[i] += drift[i] * dt
for j in range(volatility.shape[1]):
res[i] += volatility[i, j] ... | 54,487 |
def glTexCoord3fv( v):
"""
v - seq( GLfloat, 3)
"""
if 3 != len( v):
raise TypeError( len( v), "3-array expected")
_gllib.glTexCoord3fv( v) | 54,488 |
def get_z_from_freq(obs_freq):
""" Convert observed frequency to (measured) redshift
Parameters
==========
obs_freq: float
Observation (central) frequency in units of Hz !
Return
======
z: float
Measured redshift
"""
z = ( _HI_RESTFREQ / obs_freq ) - 1.
return ... | 54,489 |
def R_to_orientstring(R):
#************************
"""
Purpose: Convert transformation matrix to 3-character string
defining orientation (e.g., RAI, LPI etc)
Arguments:
R: 4x4 transformation matrix
Returns:
orientation: A 3-character string.
"""
#LPI orient_decode =... | 54,490 |
def get_executor():
"""
Gets executor from the current event thread if applicable. If not, starts a new one.
Returns
-------
executor : ``ExecutorThread`` or ``ClaimedExecutor``
"""
loop = current_thread()
if isinstance(loop, EventThread):
executor = loop.claim_executor()
... | 54,491 |
def shape4(tik_instance, input_x, res, dtype):
"""input shape (32, 8, 28, 28, 16)"""
zero = tik_instance.Scalar(dtype="float16", init_value=0)
with tik_instance.for_range(0, 32, block_num=32) as block_idx, tik_instance.for_range(0, 2) as cc1_db, \
tik_instance.for_range(0, 2, thread_num=2) as db... | 54,492 |
def parse_person(elt):
"""Parse a person type response element into nested dictionaries
http://developer.healthvault.com/sdk/docs/urn.com.microsoft.wc.thing.types.person.1.html
"""
return dict(
name = elt.find('name').text,
organization = text_or_none(elt, 'organization'),
profe... | 54,493 |
def main():
"""
>>> get_context()
{'name': 'demo', 'app_id': 2}
>>> get_context2()
{'name': 'demo', 'app_id': 6s}
"""
pass | 54,494 |
def main():
"""Main body for script."""
parser = ArgumentParser(description="Update FCOE device udev persisted "
"ordering.")
parser.add_argument("--prefix", "-p", default="/target",
help="System files will be accessed under this "
... | 54,495 |
def to_absolute_coordinates(keypoints, height, width,
check_range=True, scope=None):
"""Converts normalized keypoint coordinates to absolute pixel coordinates.
This function raises an assertion failed error when the maximum keypoint
coordinate value is larger than 1.01 (in which case ... | 54,496 |
def get_zygosity(call):
"""Check if a variant position qualifies as a variant
0,1,2,3==HOM_REF, HET, UNKNOWN, HOM_ALT"""
zygdict = dict([(0, "nocall"), (1, "het"), (2, "nocall"), (3, "hom")])
return zygdict[call] | 54,497 |
def discrete_mutual_info(mus, ys):
"""Compute discrete mutual information."""
num_codes = mus.shape[0]
num_factors = ys.shape[0]
print(mus.shape,ys.shape)
m = np.zeros([num_codes, num_factors])
for i in range(num_codes):
for j in range(num_factors):
m[i, j] = sklearn.metrics.mutual_info_score(ys[j... | 54,498 |
def get_stderr(self, uid, iwd, out, err, job_id, job_name=None, instance_id=-1):
"""
Return the stdout from the specified job
"""
if instance_id > -1:
if os.path.isfile('%s/job.%d.err' % (iwd, instance_id)):
with open('%s/job.%d.err' % (iwd, instance_id), 'rb') as fd:
... | 54,499 |
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