content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def GetImmediateSupertypes(n, layers='core'):
"""Get this type's immediate supertypes, i.e. that we are subClassOf."""
if n==None:
return None
sups = GetTargets( Unit.GetUnit("rdfs:subClassOf", True), n, layers=layers)
if (n.isDataType() or n.id == "DataType"):
sups += GetTargets( Unit.G... | 36dc4a623a639590602cd2828638bfff3d9c266c | 3,614,600 |
def get_engine_sqlite(path) -> Engine:
"""Get a SQLite on-disk database engine."""
return create_engine(f"sqlite+pysqlite:///{path}", echo=True, future=True) | cb8148af8304ecdce4c6303ecddf4f8120dc4cf7 | 3,614,601 |
def view_file(parent, title, filename, encoding, modal=True, wrap='word',
_utest=False):
"""Create text viewer for text in filename.
Return error message if file cannot be read. Otherwise calls view_text
with contents of the file.
"""
try:
with open(filename, 'r', encoding=en... | 0a564938fbbdcde2bb36ca6766839bbd9e4e7c96 | 3,614,602 |
def transform_poses_to_base(config, poses):
"""
Transform the poses to the base frame with settings specified in the config
:param config:
:param poses:
:return:
"""
## initialize base to cam transformation
tf_t_BC = Vector3(config['base_to_cam_pose']['translation']['x'], config['base_to... | caf234a92aed7078e5e4ef342de0b8bcdc5b5aef | 3,614,603 |
def create_occurrence(create_reservation):
"""Return a callable which lets you create reservation occurrences."""
def _create_occurrence(start_dt=None, end_dt=None, room=None):
params = {}
if start_dt is not None:
params['start_dt'] = start_dt
if end_dt is not None:
... | 1b11afb19e8e1b266532dd9198c2d93010351f97 | 3,614,604 |
def register_corrector(cls=None, *, name=None):
"""A decorator for registering corrector classes."""
def _register(cls):
if name is None:
local_name = cls.__name__
else:
local_name = name
if local_name in _CORRECTORS:
raise ValueError(f'Already regist... | eabb694cb6df359308c9f49b1ad66da007b22e5a | 3,614,605 |
def general_net_center(feat_model, identity_model, center_model, img_shape):
"""Returns a keras Model for training
with classification, metric learning and center losses
Args:
feat_model: keras Model for feature extracting
identity_model: keras Model for classification
img_shape: t... | 5abaf9bc8f2421d622b5e4ac2d9f48b354b7e4c8 | 3,614,606 |
def make_cache_key(path=None, key_prefix="view/%s"):
"""
This function mostly emulates Flask-Caching's `make_cache_key` function so we can delete cached api responses.
Over time this function may be replaced with a cleaner custom cache implementation.
:param path:
:param key_prefix:
:return:
... | af8be0416144ff1daec2981b8549623b53f36dc1 | 3,614,607 |
def orient_tract_kmeans(bundle):
"""Ensure the startpoints to be always higher than the endpoints.
"""
points = compute_endpoints(bundle)
kmeans = KMeans(n_clusters=2, random_state=0).fit(points)
class0_up = (kmeans.cluster_centers_[0][2] > kmeans.cluster_centers_[1][2]) #constraint on the z axis
oriented_bundle ... | 5e0ba68df10a57dabd1d4d5bbc9e20f9efd63c26 | 3,614,608 |
def create_flagellum(idx, phase, phase_speed, translation, rotation,
flag_radius, longitude_grid, azimuth_grid):
"""
:param phase_speed: integer; will be multiplied by default frequency
:param longitude_grid: how man
:param azimuth_grid: number of grid points (integer)
:return:
... | a4742ae6deacb2a4e7fcf8a181c96d3e3479dac9 | 3,614,609 |
from typing import Literal
def _pretty_print_literal(literal: Literal):
"""Render a literal."""
return render_literal_value(literal.value) | 986a98bb39a60af7e13efba89a66281408fd9855 | 3,614,610 |
def make_point(x, y, as_geom=False):
"""
Make a GeoJSON point.
if as_geom, then return a shapely geometry instead.
"""
geojson = {"type": "Point", "coordinates": [x, y]}
return geometry.shape(geojson) if as_geom else geojson | 551c85fb1bb531b10e1540ebcef141d95ea1ee55 | 3,614,611 |
from datetime import datetime
import json
def two_week_working_hour(dept_info):
"""
convert workingHour into two week's everyday slot
"""
today = datetime.datetime.today()
weekday = today.weekday()
workingHour = json.loads(dept_info.workingHour)
schedule = []
for i in range(14):
... | a7afa25a2912e2917da9e5a86f5407c7b4d8e9cf | 3,614,612 |
import functools
import operator
def bot_has_role_permissions(perm1: hikari.Permissions, *perms: hikari.Permissions) -> Check:
"""
Prevents the command from being used if the bot is missing any of the required role
permissions.
Args:
perm1 (:obj:`hikari.Permissions`): Permission to check for.... | 38baaeedd08998dac996eb984c5d8b49b9726d09 | 3,614,613 |
def make_data(T, fs):
"""
Function to make data
args:
T: time
fs: sampling rate
return:
t: number of samples
x: data
"""
nsamples = int(T * fs)
t = np.linspace(0, T, nsamples, endpoint=False)
a = 0.025
f0 = 550.0
x = 0.07 * np.sin(2 * np.pi * 1.2 *... | 9d76554e27008825d2999ba9a3582ed411c2afc5 | 3,614,614 |
def parse_veh_comp(xmldoc):
"""parses the vehicle composition from the VISSIM data
:param xmldoc: input VISSIM xml
:type xmldoc: xml.dom.minidom.Document
:return: relevant VISSIM vehicleComposition data
:rtype: dict of list of dict
"""
veh_cmp_d = dict() # local vehicle co... | 195b2c8dcbd055d5c8e8fdb4f6b68f360c60c961 | 3,614,615 |
def obscore_loader_gama_sdss(fname):
"""
This is a specutils loader which adds obscore information to a SDSS spectra
in the GAMA survey
"""
spec = Spectrum1D.read(fname, format="SDSS-I/II spSpec")
spec.meta["obscore"] = {}
obscore = spec.meta["obscore"]
hdr = spec.meta["header"]
ob... | 95ca112ba6de00d3ad920b02d3f8dab26989fff8 | 3,614,616 |
from typing import NamedTuple
def get_conn(config: NamedTuple) -> connector.MySQLConnection:
"""
Accept parsed configuration data and create mysql connector
:param config:
:return:
"""
return connector.connect(
host=config.db.host,
database=config.db.database,
user=config.db... | 03ae0c3c2239806d5dbd54c9e1c02dba621919d1 | 3,614,617 |
import time
def uniq_table_id():
"""Return a unique table ID based on the current time in ms.
Returns:
str: in format `U<timestamp_ns>`
"""
return f'U{time.time_ns()}' | cffe47d5e8dfff192e2a754347534e02d4ba6a68 | 3,614,618 |
import inspect
def _get_real_env_hack_hack_hack():
"""
Get the real, currently-being-configured libtbx.env environment.
This is not libtbx.env, because although libtbx.env_config.environment.cold_start
does:
self.pickle()
libtbx.env = self
the first time there is an "import libtbx... | f0fe71b5c0a3922300f9d6d81aeb6057e39dd4c3 | 3,614,619 |
from mapproxy.srs import bbox_equals
def wms_query_eq(expected, actual):
"""
>>> wms_query_eq('bAR=baz&foo=bizz&bbOX=0,0,100000,100000', 'foO=bizz&BBOx=-.0001,0.01,99999.99,100000.09&bar=baz')
True
>>> wms_query_eq('bAR=baz&foo=bizz&bbOX=0,0,100000,100000', 'foO=bizz&BBOx=-.0001,0.01,99999.99,100000.1... | fd4e7ff53c5cc0b6e5545775e47092b743635917 | 3,614,620 |
import os
def get_server_url_for_path(p):
"""
gets the url corresponding to a given file or directory path
p : path to convert into a url
returns the url path for the filepath p
"""
load_environment()
fname = os.path.basename(p)
rel_path = os.path.relpath(p, os.environ['NOTEBOOK_HOME... | 27058007a12035719be2e7d32de95c486b9a67f7 | 3,614,621 |
import argparse
import os
from datetime import datetime
def parse_args():
"""
parse command line arguments
:return dict: dictionary of parameters
"""
argparser = argparse.ArgumentParser()
argparser.add_argument('--config_file', type=str, default=os.path.join('./configs/', 'turtlebot_navigat... | ba6cd305eb00926e3613eb73976b6b6f111833e3 | 3,614,622 |
def split_dataframe_by_position(df, splits):
"""
Takes a dataframe and an integer of the number of splits to create.
Returns a list of dataframes.
"""
dataframes = []
index_to_split = len(df) // splits
#print(index_to_split)
start = 0
end = index_to_split
for split in range(split... | 7536920125fa33fafd420c4fe7ef24aff2fa6ff3 | 3,614,623 |
def address_in_network(ip: str, net: str) -> bool:
"""Is an address in a network
"""
# If IP and net mask are not compatible, return False
if is_ipv6(ip) != is_ipv6(net):
return False
# Convert ips to int
i_ip = ip_to_bits(ip)
total_bits = 32 if not is_ipv6(ip) else 128
netpart... | 2bd77242cc458680076c49ddff0d5dcb215d6999 | 3,614,624 |
def get_service_url(host, port, path=constants.PATH):
"""
Construct a service URL from host, port and path
:param host: (string) the service host (aka server) IP
:param port: (int) port on which to connect to the service
:param path: (string) API endpoint (default to /mnist/classify/)
:return: (... | b0ef07f50866a87c4e5b3e85bd179db1fd46fab0 | 3,614,625 |
def eigcov(data):
"""
Return eigen values and vectors of covariance matrix
"""
eigenValues, eigenVectors = np.linalg.eig(np.cov(data))
idx = eigenValues.argsort()[::-1]
eigenValues = eigenValues[idx]
eigenVectors = eigenVectors[:,idx]
return eigenValues, eigenVectors | 5355d40fc006a8ebeb6f566998666feb7e533c6b | 3,614,626 |
import torch
def index_relation_types(dataset):
"""Classify relations into 1-N, M-1, 1-1, M-N.
According to Bordes et al. "Translating embeddings for modeling multi-relational
data.", NIPS13.
Adds index `relation_types` with list that maps relation index to ("1-N", "M-1",
"1-1", "M-N").
"""... | 639059ecf319ce367a62db64edc1efebc8ef5050 | 3,614,627 |
def init_celery(celery, app):
"""
initial celery object wraps the task execution in an application context
"""
celery.config_from_object(celeryconfig)
class ContextTask(celery.Task):
def __call__(self, *args, **kwds):
with app.app_context():
return self.run(*args... | 1331438c9b6cb01bf96dcf7465d7444fbb985937 | 3,614,628 |
import logging
def _validate(submission):
"""
Validates submission against a set of rules.
"""
title = submission.title.lower()
if ShowerThought.objects.filter(post_id=submission.id).exists():
# sometimes posts are chosen for two days because they fall right on the cusp
logging.war... | c95944036cbb45e7acf024f1966dcbf3c4b980d9 | 3,614,629 |
def display_codes(codes, indv_stem_plots=True,
input_and_recon=None, data_pt_per_fig=None, plot_title=""):
"""
Visualizes tranform codes
Parameters
----------
codes : ndarray(float32, size=(b, s) OR size=(b, s, sh, sw)
The codes for a batch of size b. b shouldn't be too large unless y... | 1c53b5aadf2fc7c46320018d7d2bf3c46bb66068 | 3,614,630 |
def java_tokenize(snippets, labels=None):
"""
This function parses a list of java code snippets into a list of lists of tokens.
Args:
snippets: Java code snippets in a list of strings.
labels: (Default value = None) a list of labels for code snippets
Returns:
X: a list of lists of... | dc38ad8f3e070917865007b5e2cccdebf18afaa6 | 3,614,631 |
import os
def patch_load_cfg(monkeypatch):
"""
A fixture that returns a function which will patch 'utils.load_cfg_file' when called in a test
The caller can specify the dict that should be returned when 'load_cfg_file' is called
against these two paths:
* "templatesTEST/_cfg.yml"
* "templates... | 0fb6436a7bc57e547542c92f8c51b62be7bb286e | 3,614,632 |
from typing import Union
from typing import Dict
from typing import Any
from typing import List
from typing import Mapping
def _get_instance_shape(
instance_dict: Union[TaggedDict, Dict[str, Any]]
) -> Union[List[int], None]:
"""Get the shape of an ASDF instance from its tagged dict form.
Parameters
... | db69deffc213a7120969fa0444a0ad42b0a44823 | 3,614,633 |
def decode_cobs(in_bytes):
"""Decode a string using Consistent Overhead Byte Stuffing (COBS).
Input should be a byte string that has been COBS encoded. Output
is also a byte string.
A cobs.DecodeError exception will be raised if the encoded data
is invalid."""
if isinstance(in_bytes, s... | 32ebeec26f1a72960514d9670502dca4b1e761e2 | 3,614,634 |
def validate_enum(datum, schema, **kwargs):
"""
Check that the data value matches one of the enum symbols.
i.e "blue" in ["red", green", "blue"]
Parameters
----------
datum: Any
Data being validated
schema: dict
Schema
kwargs: Any
Unused kwargs
"""
retur... | 689fef653b757435d45e76afbf16245d0d53839f | 3,614,635 |
import pprint
def plot_fleur_sn(node, show_dict=False, **kwargs):
"""
This methods takes any single AiiDA node and starts the standard visualization for
if it finds one
"""
plot_nodes, workflow_name, _ = classify_node(node)
if show_dict:
pprint(plot_nodes[0])
try:
plotf ... | a11c4ebe9fc8d3dcfec851b7541836f265f414ed | 3,614,636 |
import seaborn as sns
def confounds_correlation_plot(
confounds_file,
columns=None,
figure=None,
max_dim=20,
output_file=None,
reference="global_signal",
):
"""
Generate a bar plot with the correlation of confounds.
Parameters
----------
confounds_file: :obj:`str`
... | 2f9f6b06633086a21368c04068dba47fd734bb27 | 3,614,637 |
import argparse
def _run_cli(cls, *args):
"""Handle command line interface invocation of this script"""
# Create argument parser from fields
parser = argparse.ArgumentParser(description=cls.__doc__)
used_prefixes = set("-h") # keep track of -X options used; -h -> help
for name, field in cls.decla... | 2856dc1645ebdd7069cb2ba949770d2686d0cf8f | 3,614,638 |
def create_user(user_data, status=200):
"""Create a new user throught the API"""
user_data = user_data
res = app.post_json('/v1/users',
user_data,
status=status,
expect_errors=status != 200)
return res | d52e80b2c34d0a816c04ff7a021231b749e04e39 | 3,614,639 |
def get_google(
query, n_answers=3, best_so=False, mute=False, break_on_best=False
):
"""
Prints links to the top hits on google given a search query (str)
and returns a link to the top one.
:param query: str, search query
:param n_answers: int, number of max results to get
:param best_so: ... | 3f1fb739a10506232c24576ebb2231468384cbcd | 3,614,640 |
def eval_triangle(x, h, n):
"""
Compute triangle histogram for given latent variables
Input:
x [num_batch, num_latent] latent values
h [num_latent, num_tri] triangle heights
n [num_tri] number of triangles to use
x is broadcasted to [num_batch, num_latent, num_tri] (replicated nu... | e3df13591c4409a5071dc4f495495490f6544291 | 3,614,641 |
def makePartialJac(spec_pair, varnames, select=None):
"""Use this when parameters have been added to a modified Generator which
might clash with aux fn argument names. (E.g., used by find_nullclines).
'select' option (list of varnames) selects those entries from the Jac of the varnames,
e.g. for con... | e7f4cc1a902dae15232073a98786da35a9e7d4b6 | 3,614,642 |
import re
def get_valid_filename(s):
"""Sanitize string to make it reasonable to use as a filename.
From https://github.com/django/django/blob/master/django/utils/text.py
Parameters
----------
s : string
Examples
--------
>>> print get_valid_filename(r'A,bCd $%#^#*!()"\' .ext ')
... | a8161a16d0bd8ad0c5d9ff20c56b52fbdba2d859 | 3,614,643 |
def merge_lists(config, path, base, nxt):
""" a list strategy to merge lists """
for i in range(len(nxt)):
base[i]=my_merger.merge(base[i], nxt[i])
return base | 78dd343a41895253b46a4baaa6350ad7538b8142 | 3,614,644 |
def normalize_shape(shape):
"""Normalize a shape ``tuple`` or ``array`` to a shape ``tuple``.
Parameters
----------
shape : tuple of int or ndarray
The input to normalize. May optionally be an array.
Returns
-------
tuple of int
Shape ``tuple``.
"""
if isinstance(s... | e7b874a2aeeed662678fea68d0f49e3085984f38 | 3,614,645 |
def getLogger(name: str, event_handlers=[]):
"""Creates a logger with .
:type name: str
:param name: the name of the logger to be constructed.
:type event_handlers: list
:param name: list of event handlers
:rtype: :class:`logging.Logger`
:returns: Logger created.
"""
return logger... | 0b9a797f281a4c1406a94525fdafb27a527beafb | 3,614,646 |
def parse_shortform_block_annotation(description):
"""Parses shortform version of the block annotation from a string.
Parameters
----------
description : str
Returns
-------
dict
Returns a dictionary with keys 'ref_version', 'chromosome',
'chromosome_scaffold', 'genome_pos'... | 48925f3d7280f6e336f2045694674e868b489c07 | 3,614,647 |
def main(inmap, medianfilter):
"""Load input paramters, remove cosmic rays and NaNs,
then make all off-limb pixels zero, and clean up limb,
rotate map and do a cosine correction.
"""
## Load configuration file
config = ConfigParser()
config.read("config.ini")
## Rotate
inmap = inmap.... | 034a6be4edf9bbe2c13ec7b8c47420a74c705b41 | 3,614,648 |
def clean_data(data: DataFrame) -> DataFrame:
"""
Clean the titanic data by converting all the data
into int64s.
Drops the passenger id since it does not contribute
to survivability.
We drop the ticket attribute since the vast majority of them
are unique, which makes it tough to convert th... | 25529dafd51bbb44759678f5a7dfe9d32bb328ea | 3,614,649 |
def get_days_where_1percent_plus_of_requests_lead_to_errors():
"""Return days which more than 1% of requests lead to errors."""
conn = psycopg2.connect("dbname=news")
cur = conn.cursor()
cur.execute(days_which_more_than_1percent_of_requests_lead_to_errors)
results = cur.fetchall()
conn.close()
... | 5d1bc225185710de64ac05410ce4c3e699502c2c | 3,614,650 |
import torch
def warp(x, flow):
"""
x: [B, C, H, W] (im2)
flo: [B, 2, H, W] flow
"""
n, c, h, w = x.size()
# mesh grid
w_grid = torch.linspace(0., w-1, w).view(1, 1, 1, w).expand(n, 1, h, w).cuda()
h_grid = torch.linspace(0., h-1, h).view(1, 1, h, 1).expand(n, 1, h, w).cuda()
grid ... | d362228b3b7c21ca1037f4eba8dd081a256e41bc | 3,614,651 |
import numpy
def utils_fft(series):
"""
Computes the inverse fast foyer transform.
Parameters
Input
series : array_like
Output
The transformed array.
"""
return numpy.fft.fft(series) | a9c9dd3b405b7ef185125576386ac9fc008ea76f | 3,614,652 |
from typing import Union
def not_operator(a: PrimitiveExpression) -> Union[HTCBool, Undefined, Error]:
"""
Logical not operator as defined by classad specification.
.. code:: python3
parse("!False").evaluate() # result: HTCBool(True)
"""
return a.__htc_not__() | 2cf5ba61d7cc169c6fa9922a2be418497d70a8bf | 3,614,653 |
import os
def create_inception_graph():
"""
저장된 GraphDef 파일에서 그래프를 만들고
Graph 오브젝트를 리턴한다.
"""
with tf.Graph().as_default() as graph:
model_filename = os.path.join(model_dir, 'classify_image_graph_def.pb')
with gfile.FastGFile(model_filename, 'rb') as f:
graph_def = tf.G... | 597cabb1afd64081bac54e3958d61074678c98ef | 3,614,654 |
def BackwardElimination(x, y, Threshold):
"""
This function apply a backard elimination for a linear regression model, based on P Value level.
Argument:
----------
- x: pandas dataframe
The dependent variables
- y: pandas dataframe
The independent variable
... | 0835efdccbd0404be5e333467732017ee7520649 | 3,614,655 |
def ListToString(list_items):
"""Convert a list of items into a unicode string of a comma-separated."""
str_list = [unicode(v) for v in list_items]
return u', '.join(str_list) | 79fa415561dd55380f84d3f238c0c33ef350bfec | 3,614,656 |
def doubleFromQString(string):
"""
Return a double precision floating point conversion of a QString object.
"""
d, ok = string.toDouble()
if not ok:
raise ValueError('ValueError converting : %s' % string)
return d | 030c6dfc65f84a88e1299f394303219c0a4d644b | 3,614,657 |
import re
def load_primers_as_re(primer_fasta, mm, rc=False):
"""Load primers as regular expressions.
Read primer file and record all specified sequences.
"""
primers = set()
in_handle = open(primer_fasta, "rU")
reader = fastaReader(in_handle)
count = 0
for record in reader:
i... | 19bc389b975d3eed2cbc4de7489cdefadd891a32 | 3,614,658 |
from typing import Literal
from typing import List
def get_foot_marker(foot: Literal["left", "right"]) -> List[str]:
"""Get the names of all markers that are attached ot a foot (left or right)"""
sensors = ["{}_fcc", "{}_toe", "{}_fm5", "{}_fm1"]
return [s.format(foot[0]) for s in sensors] | 518fbb3f68cbf8622b2bf1fa85f9ecae8008c456 | 3,614,659 |
def get_price_history(data, date, beta_window, sid, benchmark):
"""
Create a DataFrame containing the data for the necessary sids within that time frame
"""
if not beta_window:
history_index = data.index.searchsorted(date)
history_index_start = data.index.searchsorted(data[data[sid] != 0... | cddb1e59dbc783e4b36c0246e1d90e78169c6445 | 3,614,660 |
import six
def _validate_string(s, accept_none = False):
"""
A validation method to convert input s to string or raise error if it is not convertable
"""
if s is None and accept_none :
return None
try:
if isinstance(s,list):
return [six.text_type(item) for item in s]
elif isinstance(s,dict):
return ... | 0c7b20884a27714acb0c16bddcbc113bd3a8c60e | 3,614,661 |
from .Geocode import Geocode
def geocode(**kwds):
"""A factory for Geocode"""
return Geocode(**kwds) | 6e28b21e47a9801de3ac21f9c23aabebf4b30b88 | 3,614,662 |
def mfn_multiply_slepc(mat, vec,
fntype='exp',
MFNType='AUTO',
comm=None,
isherm=False):
"""Compute the action of ``func(mat) @ vec``.
Parameters
----------
mat : operator
Operator to compute function ac... | b40109e0578f5d7991d04994944d5566e543ff1a | 3,614,663 |
def sdffile2selfies_lst(sdf):
"""convert sdffile into a list of SELFIES strings.
Args:
sdffile: str, file
Returns:
selfies_lst: a list of SELFIES strings.
"""
smiles_lst = sdffile2smiles_lst(sdf)
selfies_lst = list(map(smiles2selfies, smiles_lst))
return selfies_lst | 38027842a6900c44658d365e15669e21afb476c2 | 3,614,664 |
import json
import base64
def get_gl_handle(schema, vineyard_id, engine_hosts, engine_config):
"""Dump a handler for GraphLearn for interaction.
Fields in :code:`schema` are:
+ the name of node type or edge type
+ whether the graph is weighted graph
+ whether the graph is labeled graph
+ the... | 0ea81c5d09013e55272582825b541ad3df4d9336 | 3,614,665 |
def has_single_gpu() -> bool:
"""Return whether there is only a GPU available."""
return get_available_gpus_number() == 1 | 32c186b538020ff9b14ca6fde4c61ce724d33cd4 | 3,614,666 |
def is_config_or_test(example, scan_width=5, coeff=0.05):
"""Check if file is a configuration file or a unit test by :
1- looking for keywords in the first few lines of the file.
2- counting number of occurence of the words 'config' and 'test' with respect to number of lines.
"""
keywords = ["unit ... | 0e2823897b72a916afd9672beed904190bb2c1c2 | 3,614,667 |
def ParseVariationsCmdFromFile(filename):
"""Parses commandline switches string into internal representation.
Same as ParseVariationsCmdFromString(), except the commandline switches
string comes from a file.
"""
with open(filename, 'r') as f:
data = f.read().replace('\n', ' ')
return ParseVariationsCmd... | a74fe9a015622d30132ad16bae646f5ff8651db9 | 3,614,668 |
def select_period(xr_data: xr.DataArray, period: TimePeriod) -> xr.DataArray:
"""Function to temporally subset an xarray dataset from a tuple of
start date and end date
"""
return xr_data.sel(time=slice(period.start, period.end)) | b785137f3bea5bf55e3f1065db37e6f9884e0e2b | 3,614,669 |
def process_snr(procstatus, dscfg, radar_list=None):
"""
Computes SNR
Parameters
----------
procstatus : int
Processing status: 0 initializing, 1 processing volume,
2 post-processing
dscfg : dictionary of dictionaries
data set configuration. Accepted Configuration Keywor... | 798c04ad55f4290875bb1ebec0a0540339503804 | 3,614,670 |
from typing import List
from pydantic import BaseModel # noqa: E0611
def norm_router(synset_mappings: dict[str, list], category_mappings: dict[str, list]):
"""Generate node-normalization router."""
router = APIRouter()
def normalize_one(curie):
"""Get normalizer response for CURIE."""
if... | 4aff9b580037b7d82ac0d94e90cb7a94a098c078 | 3,614,671 |
import os
def print_bbclex_instructions(fname,size):
"""Print suitable instructions for a BBC Micro lexicon of the given filename and size (the exact nature of the instructions depends on the size). If appropriate, create a .key file containing keystrokes for transferring to an emulator."""
if os.environ.get("MAKE... | 836e4fe3bc510fef070b5c2bbf02f4214d409131 | 3,614,672 |
import sys
def getROI(arr, win ='ROI selector', title = "", preview=True, crop = True, form="rect"):
"""
:param arr: array to crop
:param win: window title or instance
:param title: cropping image title
:param preview: (True) if true it shows the resulting ROI before
cropping. It coul... | d78ab857a5b998a1a7d2e30f8f7733d5b06f50fa | 3,614,673 |
def generate_trappingtable(data):
"""Generates master table of when each plot has been sampled or missed.
Input: Pandas Dataframe with the containing the following columns
plot - plot number
period - portal project period code, unique for each month of trapping
yr - year sample occured
mo - mon... | 0d1bf0345ffd5aeb48f5ba7718d4aa8b203ebf16 | 3,614,674 |
def get_by_slug(*, db_session, slug: str) -> Plugin:
"""Fetches a given plugin or creates a new one."""
return db_session.query(Plugin).filter(Plugin.slug == slug).one_or_none() | 7c1db90a9afb52e6ef3e208c2835ae01ec39f180 | 3,614,675 |
def authentication(req, required_roles, doctorid='', patientid=''):
"""
required_roles is a list of role's string
TODO: change back to the decorator way of authentication
may get params value (value of field expression) here by:
params['doctorid'], see docstring in falcon.hooks.before(action)
... | 1bc0318bb33bde9ff76620921d16afdfb8df56ca | 3,614,676 |
import json
def get_payment_url(order_id):
"""This method will pass order data (customer details, item data)
to the GetUrl API (iCredit) and get payment url
:param order_id: Sales Order No.
:return: payment url(iCredit) (String)"""
try:
order = frappe.get_doc("Sales Order", order_id)
icredit_settings = fra... | 49b51fefb7c4dd548feda9d63f9fca7a4e5438dc | 3,614,677 |
import torch
def estimate_snn(model_dat, do_print=True):
"""estimate direct effects in identified structural form
using PyTorch AD automatic differentiation
forcasting y is done by reduced form since it is already solved for dy
structural form:
dy = my @ dy + mx @ dx
mx, my is a linea... | 22c8680b084371b48c543e06ea138d207a6b392f | 3,614,678 |
def plot_var(
data_frame,
x_var="flow",
y_var="CO_TP",
label_var="mpr",
pivot="distance",
x_label="Flow [veh/m]",
y_label="CO2 %",
t_label="Distance [m]: ",
legends=[r"0 \%", r"10 \%", r"20 \%", r"30 \%", r"40 \%"],
fnt_size={"fontsize": 16},
x_size=5,
y_size=7.5,
tra... | f0c02e2d1c704935bd88220e5ddbac78ce1bc792 | 3,614,679 |
from typing import Optional
from typing import Tuple
async def decide_content_and_extension(
accept_header: Optional[str] = None, accept_language_header: Optional[str] = None
) -> Tuple[str, str, str]:
"""Return content_language, content_type and extension based on request."""
# Default content-type/conte... | c35b898c2810113bc016acb36abcc65714c3760f | 3,614,680 |
def score_segmented_edges(pred_seg, pred_edges, lbl_seg, lbl_edges):
"""
Find the precision & recall scores for a set of predictions tied to
segments within a volume. Each predicted segment is mapped to its
maximally overlapping segment within the label segments.
"""
overlaps, pred_ids, lbl_ids ... | 3b69a820916258b5e1d417d70b87c99cd6826021 | 3,614,681 |
import json
def bundle_to_json(fh):
"""
Convert the received HG10xx data stream (a mercurial 1.0 bundle created using hg push from the
command line) to a json object.
"""
# See http://www.wstein.org/home/wstein/www/home/was/patches/hg_json
hg_unbundle10_obj = readbundle(get_configured_ui(), fh... | c99b7311b7844549e8f1d754ed5c7f74bb0ff2cf | 3,614,682 |
def rotate_velocities(a,d,mua,mud):
"""eq 3.68, """
mu = return_muicrs(a,d,mua,mud)
mugal = np.dot(return_gaia_Agprime(),mu) # eq. 3.68
# solve for positions
ricrs = return_ricrs(a,d)
rgal = np.dot(return_gaia_Agprime(),ricrs)
# implement eq 3.63
ell,b = np.arctan2(rgal[1],rgal[0])... | 49d4edb52f5dffa64232db3fba0475db9a1b61f5 | 3,614,683 |
import os
def save_fig_filebox_button(fig, filename):
"""
Create ipython widgets to allow the user to save a figure to the
specified file.
Parameters
----------
fig : matplotlib.Figure
The figure to be saved.
filename : str
The filename the figure should be saved to
R... | 6091869b38d6f1aa632e86e6f1777af91203d218 | 3,614,684 |
import logging
def open_api(version):
"""
:param version:
:return:
"""
def fn(method):
@wraps(method)
def wrapper(*args, **kwargs):
openClass = get_api(version)
code, msg = openClass.check_header()
if code != 0:
return response_js... | 2bda139c6d85268030cd2477d7e6f874b781a968 | 3,614,685 |
from typing import Iterable
import calendar
def calc_eomday(year, month):
"""end of month day"""
if isinstance(year, Iterable):
assert isinstance(month, Iterable)
return np.array([calendar.monthrange(y, m)[-1] for y, m in zip(year, month)])
else:
return calendar.monthrange(year, mo... | ef9adb0ee054a51d9ad39e5ddb0e2ce5fb7465be | 3,614,686 |
import json
def prepare_clean_listing_record(listing_serializer_record):
"""
Clean Record
Sample Record (record_json) after clean
{
"id": 316,
"title": "JotSpot 28",
"description": "Jot things down",
"unique_name": "ozp.test.jotspot.28",
"description_short": "Jot stuff d... | 7330b24f90345be14966f28d61e7665b0785a9e6 | 3,614,687 |
def retrieve_path_dict(parse_tree, path):
"""
retrieves the parameter values of an path instance
:param parse_tree: the json parse tree of the swagger document
:param path: path value of the dict to find
:return:
"""
keys = path.split("/")
my_tree = parse_tree
for key in keys:
... | f1d1163b15d2d114b1024650f4e459e6142f513e | 3,614,688 |
def has_shape(data, shape, allow_empty=False):
"""
Determine if a data object has the provided shape
At any level, the object in `data` and in `shape` must have the same type.
A dict is the same shape if all its keys and values have the same shape as the
key/value in `shape`. The number of keys/val... | f04add860bb6b886bb693ddc85b3d4877245d749 | 3,614,689 |
from typing import List
def get_unmatched(repo_path: str, language: str, original_commit: str, translated_commit: str) -> List[PropEntry]:
"""
Get all original key values that have not been translated.
:param repo_path: Path to repo.
:param language: The language identifier (i.e. 'ja')
:param orig... | 4fe4540f901bbaff010ec09c3b55ecbffa42c7da | 3,614,690 |
from onto.database.firestore import FirestoreReference
def to_ref(dm_cls, dm_doc_id):
"""
TODO: check doc_ref._document_path alternatives that are compatible
with firestore listeners
:param val:
:return:
"""
doc_ref: FirestoreReference = dm_cls._get_collection() / dm_doc_id
retu... | 4f272ef038915f3e42fc7a12dc38147039ac7eca | 3,614,691 |
def augment_specs(prefix, specs, pinned=True):
"""
Include additional specs for conda and (optionally) pinned packages.
Parameters
----------
prefix : str
Environment prefix.
specs : list of MatchSpec
List of package specifications to augment.
pinned : bool, optional
... | f45063448ceca11a31375a97e4a64c95830ce291 | 3,614,692 |
def Pendulum(a0=0, v0=0):
"""
Main function for calling matplotlib animation
a0: float
starting angle (rad)
v0: float
starting angular velocity
"""
aVec = [a0]
vVec = [v0]
fig, ax = plt.subplots(figsize=(12,12))
line, = ax.plot([0, np.sin(aVec[0])], [0, np.cos(aVec[0])])
ax.set_xlim(-1.2,1.2)
... | 7350d08002018a385f7674a4ce6dafac0b5c4c21 | 3,614,693 |
import requests
def metrics(self, **kwargs):
"""
History of your Blockfrost usage metrics in the past 30 days.
https://docs.blockfrost.io/#tag/Metrics/paths/~1metrics~1/get
:param return_type: Optional. "object", "json" or "pandas". Default: "object".
:type return_type: str
:returns A list o... | bc53dcb7024373dd1f99acadcfbc9902b2810218 | 3,614,694 |
def build_word_pattern(word, language):
"""Given a word and a language, calculate the word pattern and the number of unique character is has."""
pattern = ""
unique = 0
char_map = {}
for char in word:
if char not in char_map.keys():
char_map[char] = unique
unique += 1... | deaffe957935cc9659e9b88e8908bb56c8a3ffad | 3,614,695 |
import getopt
import os
def validate_arguments(sys_param):
"""
Validate command line arguments passed to the script
:param sys_param: Command line arguments : Script Name,
File Path, Build Information, Deployment Type, Deactivate Old Product are required
and Options... | 05087cd7483fda436762a30cf9dd7cf88d3a2e5a | 3,614,696 |
def plot_spectra_by_type(frequency, spectra, classes, title=''):
"""Plot mean spectrum with its variance for a given class.
Parameters
----------
frequency : pandas Series, shape (n_freq_points,)
Frequencies for which the Raman spectra were acquired.
spectra : pandas DataFrame, shape (n_sp... | ccdf36c05da7d68f3d0e27560921cddb0c1b94a0 | 3,614,697 |
def RR_calc(classes, TOP):
"""
Calculate Global performance index (RR).
:param classes: confusion matrix classes
:type classes: list
:param TOP: number of positives in predict vector per class
:type TOP: dict
:return: RR as float
"""
try:
class_number = len(classes)
... | 814a11c339b25dc687d537efd3244ddad9c0f8fd | 3,614,698 |
def isctime(sys, strict=False):
"""
Check to see if a system is a continuous-time system
Parameters
----------
sys : LTI system
System to be checked
strict: bool (default = False)
If strict is True, make sure that timebase is not None
"""
# Check to see if this is a con... | 02825d5664a066966ff4763b7edb7401b6dd14af | 3,614,699 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.