content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
import torch
from typing import Optional
def camera_to_image_space(
points: torch.Tensor,
focal_x: float,
focal_y: float,
center_x: float,
center_y: float,
flip_h: bool = True,
height: Optional[int] = None,
device: Optional[torch.device] = None,
_validate_args: bool = True
) -> torch.Tensor:
"""Tr... | 60417fcfa657a5a40e8e3fde8212c1d0faba9dd8 | 3,623,000 |
def _compute_average_ranks(
matrix,
threshold=0.001,
precision=4,
higher_is_better=True,
):
"""Compute the average rank of each method.
Input
-----
matrix : pd.DataFrame
Rows are datasets, columns are methods, and values are the compared metric.
threshold : float
The... | 466ff3a3c7562d4e503de9de7af26b50408c6d92 | 3,623,001 |
def get_devices(db: Session, skip: int = 0, limit: int = 100):
"""
Get Device list (default: up to 100 devices)
"""
return (
db.query(models.Device)
.order_by(asc(models.Device.id))
.offset(skip)
.limit(limit)
.all()
) | d1076c1038c1ffcd9a60b5205d310688a69e6107 | 3,623,002 |
def _swap_log_prob_and_maybe_grads(
pre_swap_replica_results,
post_swap_replica_states,
inner_kernel,
):
"""Swap 'target_log_prob' and maybe 'grads_target_log_prob'.
After swapping states, the log probs for replicas need to be evaluated at
the new points, then tempered. The easiest way to do this is ... | 71cb2b05bb4aed15ff32106975f7e1b83bb2101c | 3,623,003 |
def shapes_to_labels_masks(img_shape, shapes, label_name_to_value):
"""Converting shapes in json generated by Labelme to masks and class ids
Args:
img_shape: Size of mask (height, width)
shapes: list of labels and points [{"label":"mouse", "points": [[x1,y1], [x2,y2]...]},
... | 36fbdf7a62ae0a834573bf4d6c148418026fd276 | 3,623,004 |
def read_gpm(infile):
"""
READ_GPM
Read HDF5 GPM file with these parameters:
- dataQuality
- landSurfaceType
- flagPrecip
- flagBB
- heightBB
- widthBB
- qualityBB
- typePrecip
- qualityTypePrecip
- zFactorCorrected
It will reverse direction along the beam for re... | 995361838c4a2ea22ffb0040fb62fffeab254a3b | 3,623,005 |
import re
import socket
def get_host_name() -> str:
"""Get the host name.
:return: A string value.
"""
return re.sub(r"\.(?:local|lan)", "", socket.gethostname()) | 225889a0bf40943ef962903551bde85fd2729ac8 | 3,623,006 |
def read_data(data_path):
"""This function reads in the histogram data from the provided path
and returns a pandas dataframe
"""
gwas_df = pd.read_csv(data_path)
return gwas_df | 034a65ac32613ae52187bf715151ec026cb63e00 | 3,623,007 |
def fix_hyphen_commands(raw_cli_arguments):
"""Update options to match their module names with underscores."""
for i in ['gen-sample', 'run-python', 'run-stacker']:
raw_cli_arguments[i.replace('-', '_')] = raw_cli_arguments[i]
raw_cli_arguments.pop(i)
return raw_cli_arguments | cbc420547f1d3a04787d059aa09eb0199df82dba | 3,623,008 |
from typing import Tuple
def pspnet(input_size: int, num_classes: int, loss, channels: int = 3) -> Tuple[Model, str]:
"""
Pyramid Scene Parsing Network
https://arxiv.org/abs/1612.01105
https://hszhao.github.io/projects/pspnet/
https://github.com/Vladkryvoruchko/PSPNet-Keras-tensorflow
"""
... | ec16ceb1a7572551605c96dcc39934ea75190a0f | 3,623,009 |
def get_data_types(nb_sensors):
"""
What should be the data type for each sensor (1 - integer, 2 - float)
Input
nb_sensors -> how many sensors (int)
Output
data_type_per_sensor -> list of data types for each sensor
"""
print("Choose data type for each sensor: 1-integer / 2-floa... | f3133d415f1d6c8448fec57a1f14fb88d697107d | 3,623,010 |
from typing import Sequence
from typing import Union
def cpgrid_to_rg(
volume: xr.Dataset,
xyzcorn_df: pd.DataFrame,
mapping_dims: Sequence[str] = ("xline", "iline"),
depth_dim: Union[str, None] = None,
buffer: int = 0,
srate: float = 0.1,
client: Union[None, Client] = None,
) -> xr.Datase... | 4b860df568ad74d348dfc1e00895582c7b15becb | 3,623,011 |
def get_trip_walking(origin, destin):
"""
Return trip data between two pois, by default mode of travel is driving
"""
myconfig_walking = RequestConfig(app.config['OSRM_WALK_ADDRESS']) # service for mode walking
coord_start = [float(item) for item in origin]
coord_finish = [float(item) for i... | 4a548b1ad5b2eaae9177e83bc60472046a57a333 | 3,623,012 |
from typing import List
def confidence_threshold(boxes: List[DetectionBox]) -> List[DetectionBox]:
"""
Filter a list of boxes with a given confidence threshold.
:param boxes: A list of boxes.
:return: A list of boxes with confidences higher than the threshold.
"""
return [box for box in boxes ... | 17256a2c9b89ce249c7f326715854a1ed60e061e | 3,623,013 |
def get_linear_regression_id(linear_regression):
"""Returns a linearregression/id.
"""
return get_resource(c.LINEAR_REGRESSION_PATH, linear_regression) | 2ffee0afbb4feae3bac94d2c075ec8a59a08e599 | 3,623,014 |
import os
def _get_appdata_dir():
"""Return the path to the Windows AppData directory"""
if "%AppData%" in os.environ:
return pth.join(os.environ["%AppData%"], "vaayu")
return None | dbcfe0aecfeb060a33ee852f861c859f0cb3289e | 3,623,015 |
from mvpa2.clfs.base import Classifier
from mvpa2.base.state import ClassWithCollections
import sys
def sweepargs(**kwargs):
"""Decorator function to sweep over a given set of classifiers
Parameters
----------
clfs : list of `Classifier`
List of classifiers to run method on
Often some unit... | e82a28a8c2ab298cb54f9291102338f534bf3928 | 3,623,016 |
import logging
def transform_rays_model_cdf_mixture(list_rays, coef_components=1):
""" compute the mixture model and transform it into cumulative distribution
:param list(list(int)) list_rays: list ray features (distances)
:param int coef_components: multiplication for number of components
:return an... | c2cdd81901f4c7a61986e0272dc8bc7f34a7ed6e | 3,623,017 |
from typing import Optional
def swaption_vol_smile(asset: Asset, expiration_tenor: str, termination_tenor: str,
pricing_date: Optional[GENERIC_DATE] = None, benchmark_type: str = None,
floating_rate_tenor: str = None,
clearing_house: str = None, loc... | 0f25c409c76e76b37afb3e337a02bca88f24142e | 3,623,018 |
def retry(freq=3, retry_callback=None):
"""
装饰器，为函数添加此装饰器当函数抛出异常时会对函数重新调用，重新调用次数取决于freq指定的参数
:param freq: 重试次数
:param retry_callback: 重试时回调执行的函数
:return: 原函数返回值
"""
def decorator(func):
def wrap(*args, **kwargs):
now_freq = 1
while True:
tr... | 0536b56e9b5260e78e3858c143c3845ccab3e53f | 3,623,019 |
def models(draw, states=None, spread_probs=None, modalities=None):
"""Define search strategy for generating unilateral models"""
graph = draw(graphs(max_size=4))
model = Unilateral(graph)
if states is not None:
num_lnls = len(model.lnls)
model.state = draw(
hynp.arrays(dtype... | 9d1cd1052ae1d4e0b0d728b564d0c718ec68a3d1 | 3,623,020 |
from google.appengine.ext.go import execute_go_cgi
def ExecuteCGI(config,
root_path,
handler_path,
cgi_path,
env,
infile,
outfile,
module_dict,
exec_script=ExecuteOrImportScript,
exec... | 42ee71aaabd9aba77d9403b7cffcabbbdc13d991 | 3,623,021 |
def read_line_offset(file, offset):
""" Seek to offset in file, read a line and return the line and new offset """
fp = open(file, "r")
fp.seek(offset, 0)
line = fp.readline()
offset = fp.tell()
fp.close()
return (line, offset) | 429d592cf44e1f287eea5a67302a78473eb2362f | 3,623,022 |
def load_config(stream, config_globals):
"""Load a configuration file and generate importer and exporter classes.
Args:
stream: Stream containing config YAML.
config_globals: Dict to use to reference globals for code in the config.
Returns:
BulkloaderEntry
Raises:
InvalidConfiguration: If the... | ee0d5158a8aca7d65dc3045b5a4763159b17b1a2 | 3,623,023 |
def endpoint_api_abort():
"""
Serves an API endpoint, non-gracefully emergency aborting what is being done now.
"""
machine_worker_process.kill()
return jsonify({'status': "OK"}) | 6403f1b235ffebd71b1a209574d92e7c3b685b1b | 3,623,024 |
def test_get_username_return_none(entered_username, monkeypatch, config):
"""Prompt for username when it's not in keyring."""
class FailKeyring:
@staticmethod
def get_credential(system, username):
return None
monkeypatch.setattr(auth, "keyring", FailKeyring())
assert auth.R... | c8701617e0098ccd5d25e0ff893498edc3f20b19 | 3,623,025 |
def radial_integration(IM, radial_ranges=None):
""" Intensity variation in the angular coordinate.
This function is the :math:`\\theta`-coordinate complement to
:func:`abel.tools.vmi.angular_integration`
Evaluates intensity vs angle for defined radial ranges.
Determines the anisotropy parameter fo... | 72fe848731b7386f43820ce71d2ba6153d24b129 | 3,623,026 |
import warnings
def CytOpT(xSource, xTarget, labSource, labTarget=None, thetaTrue=None,
method=None, eps=1e-04, nIter=4000, power=0.99,
stepGrad=10, step=5, lbd=1e-04, nItGrad=10000, nItSto=10,
cont=True, monitoring=False, minMaxScaler=True, thresholding=True):
""" CytOpT algorith... | f0047e30f682a5062ddfaf8409941475e1bf2fba | 3,623,027 |
from datetime import datetime
import re
def get_sessions(subj, date=None, one=None):
"""
Download and load in training data for a specfied subject. If a date is given it will load data
from the three (or as many are available) previous sessions up to the specified date, if not it
will load data from t... | 919e514d2aa23292352c013b82fc431dd6370d5c | 3,623,028 |
def crossproduct(first, other=FreeCAD.Vector(0,0,1)):
"""crossproduct(Vector,Vector) - returns the cross product of both vectors.
If only one is specified, cross product is made with vertical axis, thus returning its perpendicular in XY plane"""
if isinstance(first,FreeCAD.Vector) and isinstance(other,Free... | 0d74566a911a25d3e955e3c81116a3a97e8518b6 | 3,623,029 |
import yaml
def read_yaml(yaml_file):
"""Read YAML file and handle errors."""
try:
with open(yaml_file) as f:
data = yaml.load(f, Loader=yaml.FullLoader)
except yaml.scanner.ScannerError as e:
raise util.SparvErrorMessage("An error occurred while reading the configuration file:... | 77f71f5bc455d748a70d2522971ba3d396fe0155 | 3,623,030 |
def editProfileView(request):
"""Pulls up an editable profile, with previously inputted
values placed already in the form.
"""
profile_context = {}
form = EditProfile()
submitted = False
if 'username' in request.session and request.method == 'POST':
form = EditProfile(request.POST)
... | 8878cd5934adaf90545d7847fdd1d95418dd7a0e | 3,623,031 |
def long_short_backtest(
pred,
topk=50,
deal_price=None,
shift=1,
open_cost=0,
close_cost=0,
trade_unit=None,
limit_threshold=None,
min_cost=5,
subscribe_fields=[],
extract_codes=False,
):
"""
A backtest for long-short strategy
:param pred: The trading sig... | 9bea632a39f88e85ae1f6cd0a09649dbdd64673d | 3,623,032 |
import os
def get_ab_path():
""" Find the location of the ab (apache benchmark) program """
for name in ['ab', 'ab2', 'ab.exe', 'ab2.exe']:
path = os.path.join(os.path.split(HTTPD)[0], name)
if os.path.exists(path):
return quote_if_space(path)
return None | 3c0327f92f0bfd73c1e48b5ca113fd10ec1f1e82 | 3,623,033 |
import torch
def opt_v1(matrix: torch.Tensor, ternary: bool, skip: int = 1) -> torch.Tensor: # type: ignore
"""
Implement the algorithm to find v1 for least squares 2-bit and ternary algorithm.
Args:
matrix: A 2D tensor
ternary: whether to do ternary optimization
skip: increment ... | cb76283dfdae7c7415165f48c387d85d94d66c39 | 3,623,034 |
def calculate_bmi(weight, height):
"""
Calculates BMI given the weight and height as float
"""
bmi = (weight / (height * height)) * 703.0
return bmi | 8495b11598e50516dca80965d5063df92aa78f40 | 3,623,035 |
def _jss_shutdown(data):
"""Return a formatted Slack message for the 'JSSShutdown' event.
:param dict data: The ``event`` data from a Jamf Pro webhook.
:returns: Formatted Slack message.
:rtype: dict
"""
text = 'The Jamf Pro web app *{}* has initiated a shutdown.'.format(
data['jssUrl'... | bdf63a604a1bed16a5991182dc6009654a7cc0a0 | 3,623,036 |
import time
import json
def load_from_json(json_filename: str) -> dict:
"""
Loads data from file of filetype .json and returns the data as a chunk pack (dict),
containing the items from the json file. When loading data from the json file instead of csv,
the chunk pack is simply a dict of the j... | 3c7a715b51b638394580084ed6202b89b3482f52 | 3,623,037 |
def get_table_countrydata(regressors, specification, data):
"""
Can generate the regression table 5
Inputs:
- regressors: array of column names
- specification: dictionary with column names
- data: data frame (regiondata)
Returns: container (pandas data frame with regres... | 946b33c6ddc8c438998f3ada8293ab1eb1694c1a | 3,623,038 |
import re
def get_task_factor(task_name, overrides, override_type, factor):
"""Check for task override and return factor."""
for task_override in overrides.get(override_type, []):
if re.compile(task_override["task"]).match(task_name):
return task_override["factor"]
return factor | eb58f291c5a21a9974b9f7d4bce739bdc99d5f89 | 3,623,039 |
from typing import Callable
from typing import Any
from typing import List
def map_list(func: Callable[[Any], Any]=default_function(1)):
"""Applies a function to every element of a list and returns the
resulting list.
:param Callable func: The function to apply.
:input List[Any] data: The input list.... | c5d0c31c578bd107e807f083c0c346fde6c9f1ef | 3,623,040 |
def argstr(arg): # pragma: no cover
"""
Return string representation of a function argument.
:param object arg: Argument object. Differs between Python versions.
:return: String name of argument.
"""
if isinstance(arg, str):
return arg
if 'id' in arg._fields:
return arg.id
... | 565349fc4a1fb9b28e8333a44893925cea9e72d9 | 3,623,041 |
def example_alt_alleles_indices(example):
"""Gets an iterable of the alt allele indices in example."""
return deepvariant_pb2.CallVariantsOutput.AltAlleleIndices.FromString(
example.features.feature['alt_allele_indices/encoded']
.bytes_list.value[0]).indices | d8f363f071f3d7ce868528764b25926fc08267e9 | 3,623,042 |
def task_tweet_todays_job():
"""
Tweets latest jobs from Indeed.
"""
"""
from hub.models import IndeedJob
consumer_key = settings.TWITTER_CONSUMER_KEY
consumer_secret = settings.TWITTER_CONSUMER_SECRET
access_token = settings.TWITTER_ACCESS_TOKEN
access_token_secret = settings.TWITT... | 12e42f746fa119f33b587261a425aedac0c6def8 | 3,623,043 |
import warnings
def variable_step_roots(x0, func, dxmax=1, verbosity=False, root_niter_max_=1000, root_tolerance=1e-6):
"""
"""
itera = True
dx = dxmax
factor = 1
residual = func(x0)
xi = x0 + dx
ii = 1
while itera:
residual0 = residual
residual = func(xi)
... | 60635771a379d7b0ccf3fca7e2341322dd65ca35 | 3,623,044 |
import os
def get_credentials():
"""
Retrieve the credentials.
Return:
credentials.
"""
home_dir = os.path.expanduser('~')
credential_dir = os.path.join(home_dir, '.credentials')
credential_path = os.path.join(credential_dir, 'gmail-python-email-send.json')
credentials = None
... | 9655fb004b68850cb6c680daf180e0cdb804bfb3 | 3,623,045 |
def get_silhouette(model):
"""
Get silhouette score from model
:param model: Topic_Model object
:return: silhouette score
"""
if model.method == 'LDA':
return #LDA dosen't have a silhouette score
lbs = model.cluster_model.labels_
vec = model.vec[model.method]
return silhouett... | b66d765c2345cff21c11c9bc27b2118ff929b071 | 3,623,046 |
def num_zeros_init(num):
"""
Counts the number of zeros at the beginning
of the number 'num'.
"""
iszero = True
num_zeros = 0
i = 0
while iszero == True and (i != len(num)-1):
if num[i] == "0":
num_zeros += 1
elif num[i] != ... | 42b58491e003269c0b51160dd20a777a9dc2198d | 3,623,047 |
import inspect
def getargspec(callable_):
"""
Return an Argspec for any callable object
:param callable_: a callable object
:type callable_: ``Callable``
:return: argspec for the callable
:rtype: ``ArgSpec``
"""
if not callable(callable_):
raise ValueError("{} is not callable... | 5f242a545e983e931958bdead4eff179d654c110 | 3,623,048 |
import numpy
def pmat76(date1, date2):
"""
Wrapper for ERFA function ``eraPmat76``.
Parameters
----------
date1 : double array
date2 : double array
Returns
-------
rmatp : double array
Notes
-----
The ERFA documentation is below.
- - - - - - - - - -
e r a P... | d95a0368a0fba9d0279d7f7ee9656afca5cb9eab | 3,623,049 |
def getresulthandle(whichresult, options=None):
"""get the filehandle of the result"""
filepath = options2filename(whichresult, options=options)
if whichresult in ("htm", "sql"):
return getfilehandle(filepath, mode="rb")
else:
return getfilehandle(filepath) | 39f43dc6f7ee7d903fd8d6a71be53c0522dd98ce | 3,623,050 |
def downsample(img, scale, border='REFLECT'):
"""Bicubical downsample via **CONV2D**. Using PIL's kernel.
Args:
img: a tf tensor of 2/3/4-D.
scale: n or 1/n. `n` must be integer >= 2.
border: padding mode. Recommend to 'REFLECT'.
"""
kernel, s = weights_downsample(scale)
if s == 1:
return img... | 8f41a85147f8158d915a6deb9f66d56eb1894857 | 3,623,051 |
def getDistance(sensor):
"""Return the distance of an obstacle for a sensor."""
# Special case, when the sensor doesn't detect anything, we use an
# infinite distance.
if sensor.getValue() == 0:
return float("inf")
return 5.0 * (1.0 - sensor.getValue() / 1024.0) | 68ff9e0c8c4dd7687e328d3b9c4634677cfe25cd | 3,623,052 |
def fit_svmrbf(X_train, y_train, seed=1):
"""
Fit an SVM-RBF with pre-selected hyperparameters.
"""
clf = SVC(C=10, gamma=0.01, kernel="rbf", probability=True, random_state=seed)
clf.fit(X_train, y_train)
return clf | aec52c95b327c304161238cc01b965e9f4d00b79 | 3,623,053 |
def test_path_and_query_parameters(
arg1,
arg2,
):
"""
Use same arg name as the one in path for receiving path args
For those args which names not matched path arg names, will be parsed as query parameter
```python
from django_mini_fastapi import Path
@api.get('/test_path_and_query_par... | 72823f5fa66065171c36329f6b05e61a710fa065 | 3,623,054 |
def get_residue_count(array):
"""
Get the amount of residues in an atom array (stack).
The count is determined from the `res_id` and `chain_id` annotation.
Each time the residue ID or chain ID changes,
the count is incremented. Special rules apply to hetero residues.
Parameters
---... | ca92531cdae9353a7902a04f4aa9a5e72b6f0248 | 3,623,055 |
def build_output_actions(acl_table, output_dict):
"""Implement actions to alter packet/output."""
output_actions = []
output_port = None
ofmsgs = []
# rewrite any VLAN headers first always
vlan_actions = rewrite_vlan(acl_table, output_dict)
if vlan_actions:
output_actions.extend(vlan... | 7c4faf3bcafe1570e49279aa2906603901732efc | 3,623,056 |
def _bond_capacities(rgr):
""" the number of electron pairs available for further pi-bonding, by bond
"""
atm_unsat_vlc_dct = _atom_unsaturated_valences(rgr)
def _pi_capacities(bnd_key):
return min(map(atm_unsat_vlc_dct.__getitem__, bnd_key))
bnd_keys = list(_bond_keys(rgr))
bnd_caps =... | 1a8976ecea20c698d26b6bfaea035fde8c979785 | 3,623,057 |
import re
def GENERIC_MAX(segment_pattern, lenv=None, renv=None):
"""Takes the regex pattern for segments being examined for
deletion, and a pair of lists indicating their deletion environment,,
and returns a function that will count how many times a segment
of that class is deleted from an input to a... | d729cb96850397a36b687d2b43c487b3670f7c56 | 3,623,058 |
def find_group_delay(attrs_dict):
"""Determine group delay from tables
Args:
attrs_dict (dict): dictionary of topspin acquisition parameters
Returns:
float: Group delay. Number of points FID is shifted by DSP. The ceiling of this number (group delay rounded up) is the number of points shou... | fa8fffaa78f95ef8cff2733cf819a1212f714f13 | 3,623,059 |
from typing import List
from typing import Tuple
def decompositions_bis(n : int) -> List[Tuple[int, int, int]]:
"""Précondition : n >= 0
Retourne la liste des triangles sur l'intervalle [1;n]."""
return [(i, j, i+j) for i in range(1, n+1)
for j in range(1, n+1) if i+j<=n] | 85c185be6d1cf84773c067b16ac2d11d69de5766 | 3,623,060 |
import logging
import time
def check_subs(client):
""" Checks that all Subscriptions have been received"""
wcount = 0
while wcount < 10:
for t in client.topic_ack:
wcount += 1
if t[2] == 0:
logging.info("subscription to " + str(t[0]) + " not acknowledged")
... | 95892066b9da2a530a28f06a7e5804fdee7e65d0 | 3,623,061 |
def preprocess(vocab, data_fp):
"""
Preprocess data
"""
orig = []
prep = []
# Read data
with open(data_fp, "r") as data_file:
for cnt, word in enumerate(data_file):
# End of sentence
if not word.split():
orig.append(word.strip())
... | 456b4771d08f43ff87e826afcdcda2e6fef9f17b | 3,623,062 |
from .interfaces import create_port as new_create_port
def create_port(port_data,
verify_port=True,
conn=None):
"""
:param port_data: <dict> dict matching Port()
:param verify_port: <bool>
:param conn: <rethinkdb.DefaultConnection>
:return: <dict> rethinkdb insert ... | 28324bd86f89fc4f27cda06a7fc59c156b0fd29d | 3,623,063 |
import typing
from pathlib import Path
import tempfile
import subprocess
import os
def align(
wav_path: str,
text: str,
model_path: typing.Optional[typing.Union[Path, str]] = None,
julius_path: typing.Union[Path, str] = "/usr/bin/julius",
) -> typing.List[typing.Tuple[int, int, str]]:
"""Get the f... | d08a9a9f4d37c04ec1826c97c831cb7c81003819 | 3,623,064 |
def read_nrattle_ctl(fpath):
"""Read an nrattle control file."""
lines = list(fpath.open())
lines = [line for line in lines if line[0] != "!"]
d = {k: lines.pop(0) for k in ["revision", "prefix"]}
d["freq_count"], d["freq_max"] = split_line(lines.pop(0), [int, float])
d["out_depth"] = split_lin... | 01032c478db2004b32efe95dedeb8e4ab31bba7f | 3,623,065 |
def paragraphs(text):
"""Split a given text into paragraphs.
Args:
text (str)
Returns:
iterator
"""
return filter(
lambda line: len(unspace(line)) > 0,
text.split("\n")) | 585154156840d654a92731f40488130e77ff35a8 | 3,623,066 |
def init_multicomponent_source(
sky_coord,
frame,
observations,
obs_idx=0,
flux_percentiles=None,
thresh=1.0,
symmetric=True,
monotonic=True,
):
"""Initialize multiple components
See `MultiComponentSource` for a description of the parameters
"""
try:
iter(observat... | 11673e3a2060a0938bb98f4bcf2ab8151aab3dad | 3,623,067 |
def get_document(args):
"""
Метод для получения данных о документах
:param args:
:return:
"""
provider = Provider()
answer = provider.get_document(args)
return answer | b5a0ba8f12b2a1c0f7c1b1418074544a768d4e71 | 3,623,068 |
def convert_not_constraint(converter: 'pcc.ConstraintConverter',
constraint: pamlt.Not):
"""
Convert a paml_time.NotConstraint into the pysmt equivalent
"""
clause = converter.convert_constraint(constraint.constrained_elements)
return pysmt.shortcuts.Not(clause) | dfb3c71fed343acfb00daadee5323d2dd6a7df30 | 3,623,069 |
def authenticate(request):
"""
GET: Will return the JSON authenticated user if any, otherwise the login HTML form.
POST: Same, but will try to authenticate the user with the provided data.
"""
return ajax_authenticate(request, from_api=True) | 3b3b26132e8ef30a23c78e1edf92a6fa81b89a19 | 3,623,070 |
from typing import List
def parse_jndi_proto_and_path(jndi: str, jndi_parts: JNDIParts) -> JNDIParts:
"""Split JNDI string into components."""
try:
colon_split = jndi.split(":")
protocol: str = colon_split[1]
slash_split: List[str] = jndi.split("/")
host_port = slash_split[2]
... | 1b34b7a78ac1bceb977eff70ac0e80d08af12704 | 3,623,071 |
import os
def init_model(config, net, optimizer=None):
"""
load model from checkpoint or pretrained_model
"""
checkpoints = config.get('checkpoints')
if checkpoints and optimizer is not None:
assert os.path.exists(checkpoints + ".pdparams"), \
"Given dir {}.pdparams not exist."... | 0cb37585fc59f24360330cc00810cf06c19c5b24 | 3,623,072 |
def vap_volume(temp,pres):
"""Calculate water vapour specific volume.
Calculate the specific volume of water vapour using the IAPWS-97
formulation.
:arg float temp: Temperature in K.
:arg float pres: Pressure in Pa.
:returns: Specific volume in m3/kg.
"""
v = vap_g(0,1,temp,pre... | 4060562928dc8c57794da5b935df3fba9722b982 | 3,623,073 |
def repair_rate(f, params):
"""
Default unscaled repair rate (no Gamma0).
Uses gamman = params[1], R = params[2]
"""
return np.exp(-params[1]*f)/params[2] | 2b1fcaffffb71da6d77afac8071cceee53cb7d9a | 3,623,074 |
import os
import sys
def create_empty_folder_setup(fold, name, author=None, description=None, url=None, durl=None, version="0.1",
subversion="0"):
"""
Creates a quick empty shell for a new project.
@param fold location
@param name name of the proj... | 6ff2a096971481dfa95c4967ea925214569340ba | 3,623,075 |
import logging
import traceback
def record_apply(domain_name):
"""
example jdata: {u'record_ttl': u'1800', u'record_type': u'CNAME', u'record_name': u'test4', u'record_status': u'Active', u'record_data': u'duykhanh.me'}
"""
#TODO: filter removed records / name modified records.
try:
jdata... | b4e8a4bb68b764e808197ad8858f68483530fa46 | 3,623,076 |
def Get_Items(filename):
"""Convert plain text to class string"""
L = []
with open(filename, 'r') as file:
items = file.readlines()
for line in items:
L.append(line[:-1])
return L | 8b579dcfb8df21de68a05a8dad4d7aff06951f64 | 3,623,077 |
import warnings
def deprecated(message):
"""Deprecated function decorator."""
def wrapper(fn):
def deprecated_method(*args, **kargs):
warnings.warn(message, DeprecationWarning, 2)
return fn(*args, **kargs)
# TODO: use decorator ? functools.wrapper ?
deprecated_... | 96dfafbfc889d415449ba23b5d7746775b5a03ba | 3,623,078 |
import math
def circles_intersection(x_a, y_a, r_a, x_b, y_b, r_b):
"""
Returns the point of intersection of two circkes
:param x_a: x coordinate of the center of first circle
:param y_a: y coordinate of the center of first circle
:param r_a: radius of first circle
:param x_b: x coordinate of ... | dc504bbe970c83bf1caf7727613ecaa44c1c818e | 3,623,079 |
import re
def doxy_coverage_badge(filepath):
"""..."""
with open(filepath) as f:
linelist = f.readlines()
text = "doxy-coverage"
for l in reversed(linelist):
match = re.match(DOXY_COVERAGE_PATTERN, l)
if match:
value = int(match.group('value'))
break
... | 1084ee0abc0662f27831d31f8c0993542b0d5231 | 3,623,080 |
def readShapefileTable(shapefile):
"""
read in the datatable captured within the shapefile properties
shapefile: (dir) a path to the ESRI .shp shapefile
"""
#cent_df = gpd.read_file(shapefile)
shp = fiona.open(shapefile)
centroid = [eachpol['properties'] for eachpol in shp]
cent_df ... | f0938af7e70b47d39918b62d30939f17edf194cc | 3,623,081 |
def missing_translation(lang, message=None):
"""Return an explanation if a language is not supported at all
or if the translation is missing, to be used as a message for
a ValuError which is raised in that case.
"""
if lang not in SUPPORTED:
return 'Language {0!r} not supported!'.format(lang... | c31b59d39eb5228bd82a6353cd1c9e8110712dd8 | 3,623,082 |
def get_grade_map():
"""
Defines a mapping of Fontainebleau grades to integer values
"""
grade_map = {
'6B': 0, # V4
'6B+': 0, # V4
'6C': 1, # V5
'6C+': 1, # V5
'7A': 2, # V6
'7A+': 3, # V7
'7B': 4, # V8
'7B+': 4, # V8
'7C': 5, ... | 1137d7c21b18556ce69db635314c968024b3394b | 3,623,083 |
def gaussian_kl_divergence(mean, ln_var, reduce='sum'):
"""Computes the KL-divergence of Gaussian variables from the standard one.
Given two variable ``mean`` representing :math:`\\mu` and ``ln_var``
representing :math:`\\log(\\sigma^2)`, this function calculates
the KL-divergence in elementwise manner... | e90ba96ce210464d5b44f13a5a92557f21c81e6b | 3,623,084 |
def conflict_error(e):
"""Flask error handler for Conflict exceptions"""
return json_error(409, "Conflict", str(e)) | 357eab6bd5b6a589e5731a98122255b5f88b5241 | 3,623,085 |
def get_topics(input_file, judgements):
"""
Reads topics in the NTCIR-10 Math, NTCIR-11 Math-2, and NTCIR-12 MathIR format from an XML file.
Note
----
Topics are returneed in the order in which they appear in the XML file.
Parameters
----------
input_file : Path
The path to an ... | 12e4378ff22194b229164e0a4e4762102bcc30fe | 3,623,086 |
def get_target_oligo_2(left_pos, right_pos, genome, homology = 90, attB_dir = '+', attB_fwd_seq = 'ggcttgtcgacgacggcggtctccgtcgtcaggatcat', attB_lock = False, verbose = False):
"""
Given a set of parameters, get an ORBIT oligo that targets the lagging strand.
Left and right positions are absolute genomic c... | a80efa2a59f393d7125b313a0e447464afa7e135 | 3,623,087 |
import profile
def signup(request):
"""
Create a new user with the given credentials.
GET parameters:
html
turn on the HTML version of the API
POST parameters (JSON):
username:
user's name
email:
user's e-mail
password:
... | 62112679e75ae9b552d4941a2690c034059c9c74 | 3,623,088 |
def preprocess_observation(observation_dict, amt_nodes=21, amt_features=9):
"""Preprocesses an observation dictionary to feature- and adjacency matrices.
:param observation_dict: The observation dictionary returned by the "TreeObsForRailEnv"-
observation builder.
:param amt_nod... | 16921cecf13ebf689ab75e6beed994509d08c7c3 | 3,623,089 |
import hashlib
def init_aes(shared_secret, nonce):
""" Initialize AES instance
:param hex shared_secret: Shared Secret to use as encryption key
:param int nonce: Random nonce
:return: AES instance
:rtype: AES
"""
" Shared Secret "
ss = hashlib.sha512(unhexlify(shared_se... | 6211975ff7e8daaf275988fc95b6f8a92a0e5d29 | 3,623,090 |
import os
def which(cmd):
"""
Returns full path to a executable.
Args:
cmd (str): Executable command to search for.
Returns:
(str) Full path to command. None if it is not found.
Example::
full_path_to_python = which("python")
"""
def is_exe(fp):
return ... | db7d9f79d0a7d7f9673d181fb4fb1f0d00aa6fab | 3,623,091 |
import time
import urllib
import json
def getHackerNewsItem(item_id):
"""Get an 'item' as specified in the HackerNews v0 API."""
time.sleep(0.2)
item_json_link = "https://hacker-news.firebaseio.com/v0/item/" + item_id + ".json"
try:
with urllib.request.urlopen(item_json_link) as item_json:
... | 76039e6c30c0aafbea6b91a25da07bd8841206c9 | 3,623,092 |
def fix_line(line):
"""
Apply all the fixes to one line from the DIFF.tsv file
"""
line = line.strip()
if line.startswith('#LOC'):
return "#LOC\tSVTYPE\tDIFF\tFIXED"
loc, svtype, instr_orig = line.split('\t')
instructions = parse_instr_set(instr_orig, loc)
if upper(svtype) == 'A... | 3d925bfe1f09c6281b68c7b8228240f9b2e3d4f5 | 3,623,093 |
from typing import Optional
def get_spot_fleet(id: Optional[str] = None,
opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetSpotFleetResult:
"""
Resource Type definition for AWS::EC2::SpotFleet
"""
__args__ = dict()
__args__['id'] = id
if opts is None:
opts ... | 0c5131070cf5c0b77ff0e303c8ba96902625b62b | 3,623,094 |
def factory_invoice_reference(invoice_id: int, invoice_number: str = '10021'):
"""Return Factory."""
return InvoiceReference(invoice_id=invoice_id,
status_code=InvoiceReferenceStatus.ACTIVE.value,
invoice_number=invoice_number).save() | c7a0ab1173802faa9c1de1b6fd0efe9fe3a24d6a | 3,623,095 |
import glob
import logging
def read_folder(folder):
"""
Parameters
----------
folder : string
Path to a folde with *.inkml files.
Returns
-------
list :
Objects of the type HandwrittenData
"""
# Core Library modules
recordings = []
for filename in natsorte... | bf3c28887d789f5e547a6bcd26c0709a32aa0e26 | 3,623,096 |
def trainingdb_show_training(request, item_container, veranst_iq_id):
""" zeigt Einzelveranstaltung der Fortbildungsdatenbank """
item = get_veranstaltung_by_iq_id(veranst_iq_id)
if item == None:
return show_error(request, item_container, _('Falsche Veranstaltungsnummer'),
_(u'<p>Zu... | 849447fd6da0ba312d5830f401ebfd732213cc12 | 3,623,097 |
def merge_frames(header, frames):
""" Merge frames into original lengths
Examples
--------
>>> merge_frames({'lengths': [3, 3]}, [b'123456'])
[b'123', b'456']
>>> merge_frames({'lengths': [6]}, [b'123', b'456'])
[b'123456']
"""
lengths = list(header['lengths'])
if not frames:
... | bb78647b2a6bb3f94525a61ebad07ae0abc543c9 | 3,623,098 |
import time
def populate_last_id(conn_str, search_path, id_name):
"""Populate study id maps from dcc_pedsnet.
:param str conn_str: database connection string
:param str search_path: PostgreSQL schema search path
:param str id_name: name of the id
:returns: Tru... | f73b72e6d29c861541ab07f2e328fd843aa5eb31 | 3,623,099 |
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