content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def inFileDict(inFileList):
""" generate a nested dictionary of the input files organized by sample and barcode
in the format: dict[sample][barcodeGroup][dataType]=fileName """
outDict = {}
for f in inFileList:
sample = f.split('_')[-3].split('/')[-1]
barcodes = f.split('_')[-2]
... | c67183b85890128b3b1728d15f7a45532ee490a3 | 3,618,444 |
import re
def smi_tokenizer(smi):
"""
Tokenize a SMILES molecule or reaction
"""
pattern = "(\[[^\]]+]|Br?|Cl?|N|O|S|P|F|I|b|c|n|o|s|p|\(|\)|\.|=|#|-|\+|\\\\|\/|:|~|@|\?|>|\*|\$|\%[0-9]{2}|[0-9])"
regex = re.compile(pattern)
tokens = [token for token in regex.findall(smi)]
assert smi == '... | f9a8702047659991d32945dd73def6f825542576 | 3,618,446 |
import time
def disable_user(client, username):
"""
disables user in keystone. Takes:
* keystone client object
* username
Returns True is succeeded, false if issues.
"""
try:
desc = "disabled_at:%s" % time.strftime("%d.%m.%Y")
uid = client.users.list(name=username)[0].id
... | acefcdf820629db5212af947efed9b88d0f459e0 | 3,618,447 |
def pairs2dm(pairs):
""" Convert eigenpair entries into eigenvalue and density matrix pairs. """
return [(v, ket2dm(e)) for v, e in pairs] | fc5ef0b9262397dcd59d73f7237371337b65a2c1 | 3,618,448 |
def find_closest_vertex(desired_hop, available_vertices):
""" Find the closest downstream (greater than or equal) vertex
in availbale vertices. If nothing exists, then return -1.
Keyword arguments:
desired_hop -- float representing the desired hop location
available_location -- np array of avai... | bf2600e9da8bce32d9e99cea3ac6c92a3b612408 | 3,618,449 |
def mat_(path="~/.opticks/GMaterialIndexLocal.json"):
"""
Customized names to codes arranged to place
more important materials at indices less than 0xF::
simon:~ blyth$ cat ~/.opticks/GMaterialIndexLocal.json
{
"ADTableStainlessSteel": "19",
"Acrylic": "3",
... | c4ae5fb0da48141bfcada896b31103bc9a5b3c43 | 3,618,450 |
def add_model_components(m, d, scenario_directory, subproblem, stage):
"""
:param m:
:param d:
:return:
"""
def total_performance_standard_emissions_rule(mod, z, p):
"""
Calculate total emissions from all performance standard projects in performance
standard zone
... | 6cb3aaeb75dc6d51a18150d9b5eebaeb81efd55e | 3,618,451 |
from typing import Optional
def exp(x: VariableLike, *, out: Optional[VariableLike] = None) -> VariableLike:
"""Element-wise exponential.
Parameters
----------
x:
Input data.
out:
Optional output buffer.
Returns
-------
:
e raised to the power of the input.
... | 670c665697e12543df6c2d9b402c63b1f3d95610 | 3,618,453 |
def _config_generator(
local_config,
min_iter=None,
max_iter=None,
warmup=False,
callback=None,
):
"""Configuration generator.
Turns the iterable config into a generator of config dictionaries.
Args:
local_config: The configuration dictionary. All values must be iterable.
... | cdf9e99105798b26ef4c8bf41665d8b48796280a | 3,618,454 |
def longest_ORF(dna):
""" Finds the longest ORF on both strands of the specified DNA and returns it
as a string #TAA TGA TAG
>>> longest_ORF("ATGCGAATGTAGCATCAAA")
['ATGCTACATTCGCAT', 3, -1]
>>> longest_ORF("AAAAAAAA")
['']
"""
lenlist = []
orflist = find_all_ORFs_both_strands(dn... | f3b7d89e30dc657febeb4270f6e9723ff2e5c1b4 | 3,618,455 |
def update_file():
"""更新"""
data = request.form
file_id = data.get('file_id', None)
content = data.get('content', None)
file = FileName.query.get(file_id)
if not file:
return jsonify({'code': '404'})
file.content = content
db.session.commit()
return jsonify({'code': '201', 'm... | 4a3f363e990ef56f8f32d0c749b78703f95064bd | 3,618,456 |
def distribute_permissions(request):
"""
权限分配
:param request:
:return:
"""
user_id = request.GET.get('uid')
# 业务中的用户表
user_model_class = import_string(settings.RBAC_USER_MODLE_CLASS)
user_object = user_model_class.objects.filter(id=user_id).first()
if not user_object:
u... | bf808e93cc22395b4220d90c732029c6beffacab | 3,618,457 |
def load_exec001_data(file_name):
"""Loads data from a saved MCC numpy trial file."""
with open(file_name, 'rb') as file:
mcc = np.load(file)
inc = np.load(file)
prf = np.load(file)
dem = np.load(file)
return mcc, inc, prf, dem | b260cedc00802b783356b44312e41ceb54d03e0f | 3,618,458 |
def get_password(hostname: str, port: int = 1433, database: str = "MOSAIQ"):
"""Get password from keyring storage
Parameters
----------
hostname : str
The MSSQL server hostname
port : int, optional
The MSSQL server port, by default 1433
database : str, optional
The MSSQL... | abf8f7914f66fd5a8e5ae562733f915f0d484573 | 3,618,459 |
def get_guest_mailbox(mailbox_id):
"""
Return all guest mailboxes of mailbox with provided id
"""
return (guest_mailbox for guest_mailbox in get_mailbox_guests_query(mailbox_id)) | 6cc130cf12fa1aaece0fa054016d7e87d6cea397 | 3,618,460 |
def usage_percent(used, total, round_=None):
"""Calculate percentage usage of 'used' against 'total'."""
try:
ret = (float(used) / total) * 100
except ZeroDivisionError:
return 0.0
else:
if round_ is not None:
ret = round(ret, round_)
return ret | dd707700de52020102ad51ad6f8494d0db489463 | 3,618,461 |
import re
def is_valid_regex(string):
"""
Checks whether the re module can compile the given regular expression.
:param string: str
:return: boolean
"""
try:
re.compile(string)
is_valid = True
except re.error:
is_valid = False
return is_valid | 3893410afd8d3e6ed9310550159b35cc504dfffa | 3,618,462 |
def get_vcf_allele(hgvs, genome, transcript=None):
"""Get an VCF-style allele from a HGVSName, a genome, and a transcript."""
chrom, start, end = hgvs.get_vcf_coords(transcript)
_, alt = hgvs.get_ref_alt(
transcript.tx_position.is_forward_strand if transcript else True)
ref = get_genomic_sequenc... | 66a9b025624727ba06aa92c88365069612135c64 | 3,618,463 |
def lr_grid(
adata: AnnData,
num_row: int = 10,
num_col: int = 10,
use_lr: str = "cci_lr_grid",
radius: int = 1,
verbose: bool = True,
) -> AnnData:
"""Calculate the proportion of known ligand-receptor co-expression among the neighbouring grids or within each grid
Parameters
-------... | 3358913007c1a00156df8ea70390d5f27c6c58cf | 3,618,464 |
def _read_amplifier_data(gain_filename, phase_filename, gain_offset=0):
"""
Gather frequency-dependent amplifier data from data files.
Each data file should have columns for frequency, gain or phase data, and a
third empty column. The gain should be in dB and the phase should be in
degrees.
Pa... | 4652d4198a0e45af3e7823e46ca7a981cc3c17ba | 3,618,465 |
import numpy
def oht_model( gw, oro, fsns, flns, shfl, lhfl ):
"""parameters; must be dimensioned as specified:
gwi : gaussian weights (lat)
oroi : orography data array (lat,lon)
requires the lat and lon are attached coordinates of oro
and that oro and the following variables are 2D arrays (... | 58f3378172026fe700c38bfb8fa76ff0a1f9c016 | 3,618,466 |
import logging
def format_mulenc_args(args):
"""Format args for multi-encoder setup.
It deals with following situations: (when args.num_encs=2):
1. args.elayers = None -> args.elayers = [4, 4];
2. args.elayers = 4 -> args.elayers = [4, 4];
3. args.elayers = [4, 4, 4] -> args.elayers = [4, 4].
... | fbecf63e660ba0756e86a4334de95e7ae5f6736c | 3,618,468 |
def expand_Hc(Hc):
"""Calculate the matricized quadratic operator that operates on the full
Kronecker product.
Parameters
----------
Hc : (r,s) ndarray
The matricized quadratic tensor that operates on the compact Kronecker
product. Here s = r * (r+1) / 2.
Returns
-------
... | b041349e766b4de785b7a711d527b4c2400c389a | 3,618,469 |
from typing import List
from typing import Dict
def get_best_paragraphs(data: pd.DataFrame, query: str, doc_id: str, sim, n_matching: int) -> List[Dict[str,str]]:
"""Retrieves the best paragraphs for expected doc using similarity model
Args:
data [pd.DataFrame]: data df with processed text at paragrap... | 4503a9f476293607634abe6dc71d4e06efb36529 | 3,618,470 |
def get_word_stats(searchType, metaField):
"""
Return JSON with basic statistics concerning the distribution
of a particular word form by values of one metafield. This function
can be used to visualise word distributions across genres etc.
If searchType == 'context', take into account the whole quer... | 90c7be7320ba3b69fcb348cd6e6dd29330f8a915 | 3,618,472 |
from typing import Optional
def get_order_item_by_name(expand: Optional[str] = None,
order_item_name: Optional[str] = None,
resource_group_name: Optional[str] = None,
opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetOrderItemB... | 392fec4b6e7ff4901a2c68004d04ac43840c5ff1 | 3,618,474 |
def did_detect(tuple_list, entry_zones, exit_zones):
"""
Determine if objects are coming or going
"""
# print('alwaysai.py: did_detect: entry zones: {}'.format(entry_zones))
global ENTER_CALLBACK
global EXIT_CALLBACK
for object_id, prediction in tuple_list:
box = prediction.box
... | 898f1666e1c0cbfed211da45b7a7bafd6afee3a8 | 3,618,475 |
def matmul_AT_B_A(a, b):
"""
Computes A.T * B * A, dealing automatically with sparsity and data modes.
:param a: Tensor or SparseTensor with rank 2 or 3.
:param b: Tensor or SparseTensor with rank 2 or 3.
:return: Tensor or SparseTensor with rank = max(rank(a), rank(b)).
"""
at_b = matmul_AT... | 6c86e6fb578298a218e310e147b8f14f32a44959 | 3,618,476 |
def run():
"""Default Run Method"""
return problem57(1000) | 040a59863943c23fe1d595d66a225a60b1f8c08d | 3,618,478 |
from typing import Optional
import torch
def elementwise_spatial_consistency_loss(
input: Tensor, target: Optional[Tensor], pred: Tensor
) -> Tensor:
"""Apply elementwise weight and reduce loss between a batch of input and
a batch of target.
Args:
input (Tensor):
Original input shap... | e3dfa33c6e2c2ae91ec18732ac04a338a8e50a2f | 3,618,479 |
def view_program_slides(eid):
"""
Creates the HTML slides for the songs associated with a program sheet.
:param eid: The eid of the program for which the HTML slides are to be
made.
:type eid: int
:returns: Renders the HTML slides.
"""
program = fill_program_information(
pr... | d91211031c9efc9691f133aa85ef6705418c1e95 | 3,618,480 |
def register_implementation(card_view_flavor="simple", name=None):
"""Decorator for marking a function as implementation for an analysis function.
:param card_view_flavor: defines how results for this function are displayed, see views.CARD_VIEW_FLAVORS
:param name: human-readable name, default is to create... | 66421af066723397c29256fdbec14eeee16d5d85 | 3,618,481 |
from .models import AbstractAttachment
def get_attachment_model():
"""
Returns the Attachment model that is active in this project.
"""
try:
klass = django_apps.get_model(summernote_config["attachment_model"])
if not issubclass(klass, AbstractAttachment):
raise ImproperlyCo... | 777501f7f5ad6a8bc8a084eac965a7296cdfacf0 | 3,618,482 |
def get_date_effect_strategy():
"""日历效应策略"""
print("""根据天风证券研究表明，基金业绩在每年三月末具有较好的持续性，因此推荐在每年三月末测试日历效应策略""")
funds = get_fund_ranking("gp")
funds.extend(get_fund_ranking("hh"))
funds.extend(get_fund_ranking("qdii"))
funds = [f for f in funds if f["fundname"][-1] not in ["B", "C", "E", "H", "O"]]
... | 15b26df314f97165568cb8a716a9f2bd88376efe | 3,618,483 |
def setup_scanner(hass, config: dict, see, discovery_info=None):
"""Set up the iCloud Scanner."""
username = config.get(CONF_USERNAME)
password = config.get(CONF_PASSWORD)
account = config.get(CONF_ACCOUNTNAME, slugify(username.partition('@')[0]))
icloudaccount = Icloud(hass, username, password, ac... | d96af1fa4b3f7ddac8ab80255a510d9b7be757a8 | 3,618,484 |
def parse_cluster_pubsub_numsub(res, **options):
"""
Result callback, handles different return types
switchable by the `aggregate` flag.
"""
aggregate = options.get('aggregate', True)
if not aggregate:
return res
numsub_d = {}
for _, numsub_tups in res.items():
for chann... | 0e499f8508b0f5507fa0b2c418d0a253d35a32f5 | 3,618,485 |
import warnings
def get_font(font_name, font_size):
"""
Tries to load the named font at the given size but falls back on default font if this is not possible.
@return: The named font at the given size if possible.
"""
try:
return ImageFont.truetype(font_name, font_size)
except:
... | d8890e2844ddc38a9ec2e2d8bccb91448db236cf | 3,618,486 |
def convert_aux_to_base(new_aux: float, close: float):
"""converts the aux coin to the base coin
Parameters
----------
new_base, the last amount maintained by the backtest
close, the closing price of the coin
Returns
-------
float, amount of the last aux divided by the closin... | f76324e0a61a58a926d3f4cadf60315692d35fee | 3,618,487 |
def _estimate_double_gaussian_parameters(x_data, y_data, fast_estimate=False):
""" Estimate of double gaussian model parameters."""
maxsignal = np.percentile(x_data, 98)
minsignal = np.percentile(x_data, 2)
data_left = y_data[:int((len(y_data) / 2))]
data_right = y_data[int((len(y_data) / 2)):]
... | 6778a6c71c1ed1c0090d1a9a9d46c9b628ff9764 | 3,618,488 |
def clone_model_with_weights(model_to_clone):
"""Clone keras model with weights."""
cloned_model = keras.models.clone_model(model_to_clone)
cloned_model.set_weights(model_to_clone.get_weights())
return cloned_model | 6de9a1f1c15c80b0719532f6f83399648a3254c2 | 3,618,490 |
def fashion_mnist_load_data():
"""Loads the Fashion-MNIST dataset.
Returns:
Tuple of Numpy arrays: `(x_train, y_train), (x_test, y_test)`.
"""
file_path = '/file/oi-d/home/person/datasets/fashion_mnist'
with gfile.Open('/gzip{}/train-labels-idx1-ubyte.gz'.format(file_path),
'rb') as l... | 40b2d627a30e5063e81cae722093bce26d7ef2b2 | 3,618,491 |
def mk7z():
"""
创建7z包
Create 7z package
:return: None
"""
return _mk7z() | b4efd4505034f315600bc390adef8c69687cc97f | 3,618,492 |
def safe_str(obj):
""" return the byte string representation of obj """
PY2=False
basestring = str
try:
return str(obj)
except UnicodeEncodeError:
# obj is unicode
mylogging("safe_str error", pr=True)
return obj | 988bfca47b499e0616e6e102863fe09860fd3784 | 3,618,493 |
def state_db(indicador="3102009001"):
"""Construct a State level DataFrame from INEGI API
http://www.inegi.org.mx/desarrolladores/indicadores/apiindicadores.aspx
"""
#merge data from every state, create databases for each index:
db_state, meta = INEGI(indicador=indicador,area="01")
db_state.rese... | 02f246a52423b71f6d2b90be05b4d9470ed150e2 | 3,618,494 |
def makeTernaryOperator(cond: ExprType, left: ExprType, right: ExprType) -> TernaryOperator:
""" Create a TernaryOperator
:param cond: Condition.
:param left: Left-hand side.
:param right: Right-hand side.
"""
expr = TernaryOperator()
expr.cond.CopyFrom(makeExpr(cond))
expr.left... | ea02697512bfaf9b6aa7e712e789a824c1550eb2 | 3,618,495 |
def load_cbmc_json(json_file, root):
"""Load json file produced by goto-analyzer --reachable-functions --json."""
json_data = parse.parse_json_file(json_file, fail=True, goto_analyzer=True)
return parse_cbmc_json(json_data, root) | 545f16eee045ac1717659a8fda806ca5f34e8362 | 3,618,496 |
def get_coord(tic):
"""
Get TIC corrdinates
Returns
-------
TIC number
"""
try:
catalog_data = Catalogs.query_object(objectname="TIC"+tic, catalog="TIC")
ra = catalog_data[0]["ra"]
dec = catalog_data[0]["dec"]
return ra, dec
except:
print "ERROR: No gaia ID found for this TIC" | bf3a7d8e483f546fdccd5b441fd52d7e75b1f52b | 3,618,497 |
import calendar
def year_add(date, years):
"""Add number of years to date.
>>> import datetime
>>> year_add(datetime.datetime(2016, 2, 29), 1)
datetime.date(2017, 2, 28)
>>> year_add(datetime.date(2016, 2, 29), 1)
datetime.date(2017, 2, 28)
>>> year_add(datetime.date(2015, 2, 28), 1)
... | 62be01b7051ddef27376ebae4b97f63e9b7ca979 | 3,618,498 |
def less_or_equal(a, b, *args):
"""Implements the '<=' operator with JS-style type coertion."""
return (
less(a, b) or soft_equals(a, b)
) and (not args or less_or_equal(b, *args)) | 309dd3f207244870f983c5875f0ea4068cc2bb3b | 3,618,499 |
def survey_getQuestionFromCode(code, series_id=None):
"""
Function to return the question for the given series
with the code that matches the one passed in
"""
s3db = current.s3db
sertable = s3db.survey_series
q_ltable = s3db.survey_question_list
qsntable = s3db.survey_question
... | bd2483be4e1c4e2fa33806c2d4c80215c6414975 | 3,618,500 |
import glob
def get_cityscapes_file_pairs(split='train', city='*', sequence='*',
frame='*', ext='.*', gt_type='labelTrainIds', type='leftImg8bit',
root_folder=CITYSCAPES_FOLDER, file_template=CITYSCAPES_FILE_TEMPLATE):
"""
Fetch pairs of filenames f... | dc4915dacf0862bde76938c96322e0895f84ccb2 | 3,618,502 |
def OT_retrieve_optfile(filename, mode='rsync-ssh', keyfile='', args='', sshargs=''):
"""
retrieve_optfile(...) is identical to retrieve_file(...), except
that it returns a tuple that can be passed to optfile(...) that
contains both the temporary file and ``filename``, thus indicating
``filename`` ... | 3409d1f428e69b54b3e95fdbf03ce18d511129ad | 3,618,503 |
def test_bounds_optional():
"""Test that each object template can have passthrough bounds for any of its attributes."""
def link():
return LinkByUID(id=str(uuid4()), scope=str(uuid4()))
for template_type, attribute_args in [
(MaterialTemplate, [
('properties', PropertyTemplate),
... | 85a852d303b47c7ef75f8b9e2e88726ffabc32ed | 3,618,504 |
import json
def is_session_active_api(request):
"""
API endpoint that tells if user has active session.
"""
user_id = request.user.id if request.user.is_authenticated else None
return HttpResponse(json.dumps({'success': request.user.is_authenticated,
'user_id': ... | b05bc9c8ad45590ff123ff999f6688cfdb4a2aa6 | 3,618,505 |
def high_precision_keyword_read(hdr, keyword):
"""Read FITS header keywords, also if split in two.
In the case where the keyword is split in two, like
MJDREF = MJDREFI + MJDREFF
in some missions, this function returns the summed value. Otherwise, the
content of the single keyword
Paramet... | c30ee16781b32cdc0a371413021df90d6dbf83ac | 3,618,506 |
def build_assign_term_to_entities_request(
term_guid, # type: str
**kwargs # type: Any
):
# type: (...) -> HttpRequest
"""Assign the given term to the provided list of related objects.
See https://aka.ms/azsdk/python/protocol/quickstart for how to incorporate this request builder into your code f... | eabf9d843980186bf8f5ef8f3b952b9675098488 | 3,618,507 |
def calc_skier_position(skierposition,userinput):
"""
"""
if userinput == "j":
skierposition = skierposition - 1
if userinput == "k":
skierposition = skierposition + 1
return skierposition | 66f638f9d9b5311efed10bbfe28274a9e80b9dd7 | 3,618,508 |
def intersect_plane_with_box(tshape, plane_def):
"""For each 'unknown' dimension, let the knowns be the other dimensions.
The known ones define the edges of the box.
Then find the unknown by the plane-equation.
But this gives also out-of-box points, so filter them out.
"""
normal,d = plane_def[:... | eb28d1ceed90a53a009e17c32a87200325b079b9 | 3,618,509 |
def _get_command_powershell_script(command):
"""Return a valid CMD command that runs a powershell script."""
return "powershell -NonInteractive -NoLogo -File {}".format(command) | fdd67ac942e7869417c57f8021f26480228bc0a7 | 3,618,510 |
def _getProductPath(product_name):
""" Return the absolute path of the product's directory.
"""
try:
# BBB: for GenericSetup 1.1 style product names
product = __import__('Products.%s' % product_name, globals(), {},
['initialize'])
except ImportError:
... | e269c1d261bb60c92f3c83fce66e6168be486e84 | 3,618,511 |
from typing import Optional
from typing import Dict
from typing import Any
def get_commit_sheet(
access_key: str,
url: str,
owner: str,
dataset: str,
*,
commit_id: str,
sheet: str,
with_record_count: Optional[bool] = None,
schema_format: Optional[str] = None,
) -> Dict[str, Any]:
... | cdf448dd1be367afc8f97b739619cc58ee175ad3 | 3,618,512 |
def get_transport_and_path_from_url(url, config=None, **kwargs):
"""Obtain a git client from a URL.
:param url: URL to open (a unicode string)
:param config: Optional config object
:param thin_packs: Whether or not thin packs should be retrieved
:param report_activity: Optional callback for reporti... | 368fb58aafbc9895bd7f5a7bcde2481dcdafa7e6 | 3,618,513 |
def getModelSupportTypes(data):
"""
获取模型支持的分类
:return:
"""
temp = ''
for i in data:
temp = temp + ' ' + i
return temp | b44a362ca231c65eff5aff8d17da9a46236106b6 | 3,618,514 |
from typing import List
def get_function_argument_names_from_source_code(source_code: str) -> List[str]:
"""
Gets the names of the function arguments found in a particular line of source code.
Specifically, it retrieves the names of the arguments in the first function call found in the source code string... | 3eb7bf9dccf34112777ce35464a3f1b62821e914 | 3,618,515 |
def load_image(addr, resizeSize=None, imgType=np.float32):
"""Read an image and make sure it is of the correct type. Optionally resize it"""
try:
img = imread(addr, mode='F')
except:
img = 0.5*np.ones((512,512))
print("Image read failed")
if resizeSize:
img = cv2.re... | becd97a8004398d3b7278401564bd2bdb9a49847 | 3,618,516 |
import time
def check_monit(dut):
"""
@summary: Check whether the Monit is running and whether the services which were monitored by Monit are
in the correct status or not.
@return: A dictionary contains the testing result (failed or not failed) and the status of each service.
"""
lo... | 31b43b83636cdf27f836f7027a0271784ef0b75c | 3,618,518 |
import inspect
def generator(T):
"""Mark a class as a generator"""
class generator_interposer(T):
def __init__(self, *args, **kwargs):
gen_i = self._get_int()
# Capture the instantiation location
frame = inspect.stack()[1]
gen_... | 80b570950268ecc43ca3ad0f7fbef73cb03dd92a | 3,618,519 |
import numpy as _np
def hausdorff_distance(polyline1,polyline2):
"""
Compute the hausdorff distance from `polyline1` to `polyline2`
:Inputs:
`polyline1`:
a (k,n1) array for the n1 points of the 1st polyline in k-dimension
`polyline2`:
a (k,n2) array for the n2 points of... | 7f19bedf1c6d17ff0535f9f6c0b7860532491c7d | 3,618,520 |
def combine_two_nets(N_1,N_2):
""" combines two networks and returns the new network and its POs
For the moment each net can have only a single PO """
if N_1 == []:
return N_2
if N_2 == 0:
return N_1
N, (xlat_1, xlat_2) = pyzz.combine_cones(N_1, N_2)
POs_N1 = list(N_1.get_POs())
... | e668ae5546c05b8058ff084bab8fa47a95212d68 | 3,618,521 |
def merge_collected_sets(a: Column, b: Column):
"""Merge 2 collected sets keeping only unique items"""
def merge_col(list_a, list_b):
set_a = set()
set_b = set()
if isinstance(list_a, list):
set_a = set(list_a)
if isinstance(list_b, list):
set_b = set(li... | fc039d112e483c2262b5a45457dd3053ab4e1702 | 3,618,522 |
def rank(accessing_obj, accessed_obj, *args, **kwargs):
"""
Use rank in an organization to see if we pass. If orgname
is not specified, the org is assumed to be the accessed
object. If rank is called incorrectly, we'll try to call the
organization permission instead as a fallback.
Usage:
... | d129f14696488e8cd5bff2967446289cc3d2871e | 3,618,523 |
def cloud2cloud(source_msh, source_val, target_msh, unroll_axis=None, verbose=False, **kwargs):
"""
Interpolate source_val between source_msh and target_msh.
:param source: ndarray(\*shape_sce, dim_msh)
:param target: ndarray(\*shape_tgt, dim_msh)
:param values: ndarray(\*shape_sce, \*shape_val)
:param verbose: ... | 0d568877ef1b83cc9de3e8bc271bbbca8c844887 | 3,618,526 |
def dVhatdYTrans(dcdVhat, U, s, VT):
"""
Apply action of [d(Vhat^{T})/d(Y)]^{T} to the array of derivatives
[d(c)/d(Vhat^{T})]^{T} to obtain the derivatives d(c)/d(Y)
Parameters
----------
dcdVhat : numpy.ndarray
array of derivatives d(c)/d(Vhat)
U : numpy.ndarray
left singu... | 2e79ff9fd841feb3b5c789ba4210e18b40f0f3fc | 3,618,527 |
from pathlib import Path
import json
def latest_checkpoint(model_dir, model_name):
"""return path of latest checkpoint in a model_dir
Args:
model_dir: string, indicate your model dir(save ckpts, summarys,
logs, etc).
model_name: name of your model. we find ckpts by name
Returns... | 29acafdb72bbb549cda7d72cc15a5a93f5535dca | 3,618,528 |
def user_key(username):
"""
Returns user auth key, used to access feed and user settings
Args:
username (str): registered user
Returns:
key (str): user key
"""
config = db.user_config(username)
return config['CONFIG']['key'] | be06c220cddd205679d48337bce45fdaaa33910b | 3,618,529 |
def write_multiple_files( extmodule, dir_path, files_sum_repository=None, encoding='ascii' ):
"""writes extmodule to multiple files"""
mfs = multiple_files_t( extmodule, dir_path, files_sum_repository=files_sum_repository, encoding=encoding )
mfs.write()
return mfs.written_files | 9cf6dcc134347c9468bb751a320d79cbaeb5f850 | 3,618,530 |
async def upload_zarr(sas_url=None, src_folder=None, dst_blob_name=None, timeout=30*60):
"""
Asyn upload a folder to Azure blob
:param sas_url: str, the SAS url
:param src_folder: str, full abs path to the folder
:param dst_blob_name: str, relative (to container) timeout of the
:param timeout:
... | 38c136d1e470a3370a00d60827be5f1ae702d379 | 3,618,531 |
def line_coordinates(image_data, centroid_x, centroid_y, angle_vector_rad, \
step_division = 1, radius_approx = None, radius_approx_interval = 20):
"""Get the coordinates along each radial line of each specified angle
For all angles specified in angle_vector_rad, the coordinates (x,y) ... | 3b93a9fd28c970014b6c17fcca91491b23831b3d | 3,618,532 |
def as_batch(img, shape, as_list=False):
"""Convert an image block group to a list
After chop_to_blocks, the data has a structure like
(jx, ix, 1, 400, 400, 3)
convert this to:
obj_detection : (ix*jx, 400, 400, 3)
patch_identification : (ix*jx, 200, 200, 3)
Args
----
img ( np.... | 77c2c5d83d88d2e4307f6f26a3d49a2e1f852a50 | 3,618,533 |
def dtw_sakoechiba(x=None, y=None, dist='square', window_size=0.1,
precomputed_cost=None, return_cost=False,
return_accumulated=False, return_path=False):
"""Dynamic Time Warping (DTW) distance with Sakoe-Chiba band constraint.
.. deprecated:: 0.11
This function is... | fb27288ce62409af9aba1b270a4b91770c163500 | 3,618,534 |
import yaml
def node_from_manifest(manifest):
"""Create V1Node object from a YAML manifest."""
manifest = yaml.safe_load(manifest)
manifest['api_version'] = manifest.pop('apiVersion')
return k8s.client.V1Node(**manifest) | d043418022bfe4973457dd48e4d7ec8cf2581eab | 3,618,535 |
def _OverrideBinaryOperatorHelper(func, op_name, clazz_object=ops.Tensor):
"""Register operators with different tensor and scalar versions.
If `clazz_object` is `SparseTensor`, assumes `func` takes `(sp_indices,
sp_values, sp_shape, dense)` and outputs `(new_sp_values)`.
Args:
func: the operator
op_na... | 15164bc3428e0d5789bf6654e1513eeadf59475b | 3,618,536 |
def generate_freenas_snapshot_name(name, iqn_prefix):
"""Create FREENAS snapshot / iscsitarget name from Cinder name."""
backend_snap = 'snap-' + name.split('-')[1]
backend_target = 'target-' + name.split('-')[1]
backend_iqn = iqn_prefix + backend_target
return {'name': backend_snap,
'ta... | 90594d19e0e04c92937e1f976d3e0c480b802dac | 3,618,537 |
def GetTestPoint(name):
"""
Factory method to return a TestPoint object.
@params name: Desired name of the object.
"""
global GLOBAL_TOGGLE
# Only return a real object if
# TestPoints are enabled
if(GLOBAL_TOGGLE is True):
return TestPoint(name)
else:
return DummyPo... | 9ac51d71ca55387f5285baef9366c3a75af2882f | 3,618,538 |
import copy
import time
import torch
def train_classifier(model, optimizer, scheduler,dataloaders,device,kwargs):
"""This funcion performs training of classifier HEAD. It can be wrapped into the DNN
module as a class function
"""
num_epochs=kwargs['ep']
writer=kwargs['writer']
best_l... | 56228b761291cf0c0c7fc47fab7a3ecfb602af27 | 3,618,539 |
def get_token_list(text):
"""Returns a list of tokens.
This function expects that the tokens in the text are separated by space
character(s). Example: "ca n't , touch". This is the case at least for the
public DiscoFuse and WikiSplit datasets.
Args:
text: String to be split into tokens.
"""
return t... | 01a917fae5923cdfd693548bb688695a917fab70 | 3,618,540 |
def cut_string(string, limit=30):
"""Shorten the length of longer strings."""
if len(string) <= limit:
return string
else:
return string[:limit-3] + '...' | 842cfefcff84c4f146cc85a4e86dff1486e9a434 | 3,618,542 |
def dxp(u):
"""Backward finite differences in x direction.
Args:
u (ndarray): 2D input array.
Returns:
ndarray: Finite difference.
"""
u = np.mat(u)
dx = np.hstack((u[:, 1:], u[:, -1])) - u
return np.array(dx) | 6ef92c85a29ef43ed6f227fcd81e6400ce1ff8f4 | 3,618,543 |
def is_unique_dist_mat_energy(geo, ene, geo_list, ene_list):
""" compare given geo with list of geos all to see if any have the same
distance matrix and energy
"""
unique = True
for idx, geoi in enumerate(geo_list):
enei = ene_list[idx]
etol = 2.e-5
if abs(ene-enei) < etol:
... | 606c8f2c9ab4767ee8538a18ab1feddddf52165e | 3,618,544 |
def SeismogramEnsemble2Stream(sge):
"""
Convert a seismogram ensemble to stream
:param sge: seismogram ensemble input
:return: stream
"""
# This uses the same approach as TimeSeriesEnsemblet2Stream to handle
# ensemble metadata. See comments there for potential maintenanc issues
md = sg... | 890e5906fd0342f56cdc2c2a485b30a136126cf9 | 3,618,545 |
def hrm_training_job_title(row):
"""
Which Job Titles(s) the person is active with
"""
try:
person_id = row.hrm_training.person_id
except AttributeError:
# not available
person_id = None
if person_id:
s3db = current.s3db
table = s3db.hrm_human_resour... | dd91ac1a7d860e94f66a8aa72fb687f8bdafb396 | 3,618,546 |
import torch
def dct_N(x, perm=None, expk=None):
""" Batch Discrete Cosine Transformation without normalization to coefficients.
Compute y_u = \sum_i x_i cos(pi*(2i+1)*u/(2N)),
Impelements the N permuting trick to solve DCT with FFT in the following link,
https://dsp.stackexchange.com/questions/2807/... | 753148dec5c300001ad10b74d0f06de4f6aaa065 | 3,618,548 |
def portal(driver):
"""Return the 'portal' function, and the hint-annotator policy.
The portal is the function that gets patched with a call to the JIT
compiler.
"""
return tiny2.interpret, MyHintAnnotatorPolicy() | b9eb07439cabf0248ef7e6912c6432e7ea719f08 | 3,618,549 |
def format_results_for_suggestion(search_res: dict) -> list:
"""Format search movie results for `show_movie_suggestions()`
Parameters
----------
search_res : dict
result of `search_movie_from_query()`
Returns
-------
list
List of formated tuple for displays.
1st ele... | 165925bd65e09239c8c4c9ed7a62289ab09e962f | 3,618,550 |
def recommended_from_views(request):
""" get product recommendations based on products that the customer has viewed;
gets list of tracking IDs of other customers who have viewed the products in the current customer's
viewed products, and gets products that these other customers also viewed.
"""
t_i... | a53229f79baad8006640f7d3bd3ae46a1dd008ba | 3,618,551 |
def heading(heading_string, underline='='):
"""
Takes a raw string and underlines it with the given underline char
"""
return '%s\n%s' % (heading_string, underline * len(heading_string)) | 369385ffef60b88ba7e3a5c376236f6d4043ac72 | 3,618,552 |
from typing import Union
def cvx_kron(
expr_1: Union[np.ndarray, Expression], expr_2: Union[np.ndarray, Expression]
) -> Expression:
"""
Compute Kronecker product between CVXPY objects.
By default, CVXPY does not support taking the Kronecker product when the argument on the left is
equal to a CVX... | 0098816249de5cbabdee32cf88a652ab602899f3 | 3,618,553 |
def run_batch():
"""[Runs batch of 2D parameter scans]
Returns:
None
"""
for gr_Sfission in gr_Sfission_Vec:
for par0 in par0Vec:
if gr_Sfission == 0:
K_tot = K_tot_def * 6
else:
K_tot = K_tot_def
s... | 7fbe312b46f32515e869c759dcc1fb8ff293c50d | 3,618,554 |
from typing import Tuple
def optionally_resample(key: RandomKey, log_weights: Array, samples: Array,
resample_threshold: Array) -> Tuple[Array, Array]:
"""Call simple_resampling on log_weights/samples if ESS is below threshold.
The resample_threshold is interpretted as a fraction of the t... | 839607b0f57c7c8c7669426f65032190f7bc2a71 | 3,618,555 |
def composed_measurement(ec_measurement):
"""Fixture that returns a composed measurement"""
measurement1 = ec_measurement.select(cycle=1)
measurement2 = ec_measurement.select(cycle=3)
return measurement1 + measurement2 | f7aa5891b7a9f88e2d18723cd526ff48044d0fd8 | 3,618,556 |
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