content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def extract_keys(keys, dic, drop=True):
"""
Extract keys from dictionary and return a dictionary with the extracted
values.
If key is not included in the dictionary, it will also be absent from the
output.
"""
out = {}
for k in keys:
try:
if drop:
ou... | 15a66fff5207df18d8ece4959e485068f1bd3c9c | 21,466 |
from flask import current_app
def jsonresolver_loader(url_map):
"""Resolve the referred EItems for a Document record."""
def eitems_resolver(document_pid):
"""Search and return the EItems that reference this Document."""
eitems = []
eitem_search = current_app_ils.eitem_search_cls()
... | 9da05e92850cbdbedb8d49cdf2cdf3763d0b1ab6 | 21,467 |
import sqlite3
def getStations(options, type):
"""Query stations by specific type ('GHCND', 'ASOS', 'COOP', 'USAF-WBAN')
"""
conn = sqlite3.connect(options.database)
c = conn.cursor()
if type == "ALL":
c.execute("select rowid, id, name, lat, lon from stations")
else:
c.execute(... | 59d45a79542e68cd691cf848f3d4fe250389732c | 21,468 |
def test_name(request):
"""Returns (module_name, function_name[args]) for a given test"""
return (
request.module.__name__,
request._parent_request._pyfuncitem.name, # pylint: disable=protected-access
) | 4ef40de8a2c917c0b12cb83db9fd39f6b59777a0 | 21,469 |
import textwrap
def inputwrap(x, ARG_indented: bool=False, ARG_end_with: str=" "):
"""Textwrapping for regular 'input' commands.
Parameters
----------
x
The text to be wrapped.
ARG_indented : bool (default is 'False')
Whether or not the textwrapped string should be indented.
A... | af0ab3b69205965b40d3e03bdcfe3148889f7080 | 21,470 |
from .utils import phys_size
def SBP_single(ell_fix, redshift, pixel_scale, zeropoint, ax=None, offset=0.0,
x_min=1.0, x_max=4.0, alpha=1, physical_unit=False, show_dots=False, show_grid=False,
show_banner=True, vertical_line=None, linecolor='firebrick', linestyle='-',
linewidth=3, labelsize=25, ticksi... | 5aab69adfc38afad84b6f45972ffb7ce05d547ac | 21,471 |
def min_conflicts_value(csp, var, current):
"""Return the value that will give var the least number of conflicts.
If there is a tie, choose at random."""
return argmin_random_tie(csp.domains[var],
key=lambda val: csp.nconflicts(var, val, current)) | ab338ce8b0abd7a77078193fcac3041155ed3e78 | 21,472 |
from app.model import TokenRepository
def init(jwt):
"""Initialize the JWTManager.
Parameters:
jwt (JWTManager): an instance of the jwt manager.
"""
@jwt.token_in_blacklist_loader
def check_if_token_in_blacklist(decoded_token):
"""Callback to check if a token is in the bl... | 406ff6e8ce6169dff6559b141f5c4453cce68f1e | 21,473 |
from typing import Callable
import inspect
def get_component_rst_string(module: ModuleType, component: Callable, level: int) -> str:
"""Get a rst string, to autogenerate documentation for a component (class or function)
:param module: the module containing the component
:param component: the component (c... | 511c718610456b4c5df5df2bc9e0ae5e7ac6823c | 21,474 |
def log_mse_loss(source, separated, max_snr=1e6, bias_ref_signal=None):
"""Negative log MSE loss, the negated log of SNR denominator."""
err_pow = tf.math.reduce_sum(tf.math.square(source - separated), axis=-1)
snrfactor = 10.**(-max_snr / 10.)
if bias_ref_signal is None:
ref_pow = tf.math.reduc... | 46203582f0d0ec2a98248ec000805c9e43f54091 | 21,475 |
from typing import Union
def crack(password: str) -> Union[str, None]:
"""
Crack the given password
"""
# found 96% by caesar
return caesar(password) | 058779267c400501eecac2d3e43d691e2152ef8d | 21,476 |
def fetchOne(query):
"""
Returns a dict result from the fetch of one query row
"""
return sqliteRowToDict(query.fetchone()) | 5be4753ea541a6e27ece16fb375c8a0664487a71 | 21,477 |
def _get_class_rgb(num_classes, predicted_class):
"""Map from class to RGB value for a specific colormap.
Args:
num_classes: Integer, the total number of classes.
predicted_class: Integer, the predicted class, in [0, num_classes).
Returns:
Tuple of 3 floats in [0.0, 1.0] representing an RGB color.... | 914824eef57a829a7d67e74f45f56088d73ea34e | 21,478 |
from datetime import datetime
def PUT(request):
"""Update a project's name."""
request.check_required_parameters(body={'project': {'name': 'name'}}, path={'projectId': 'string'})
project = Project.from_id(request.params_path['projectId'])
project.check_exists()
project.check_user_access(request... | ab5cc9bea5f5a933293761a852532f2c7c6004ec | 21,479 |
def load_book_details(file_path):
""" Read book details from a csv file into a pandas DataFrame. """
books_df = pd.read_csv(file_path, index_col='book_id')
return books_df | 9240efd9778198e34464fe6f95d312a82fd3894e | 21,480 |
import random
import string
def random_string_fx() -> str:
"""
Creates a 16 digit alphanumeric string. For use
with logging tests.
Returns:
16 digit alphanumeric string.
"""
result = "".join(random.sample(string.ascii_letters, 16))
return result | 835c2dc2716c6ef0ad37f5ae03cfc9dbe2e16725 | 21,481 |
from typing import Dict
from typing import List
import logging
def parse_scheduler_nodes(
pbscmd: PBSCMD, resource_definitions: Dict[str, PBSProResourceDefinition]
) -> List[Node]:
"""
Gets the current state of the nodes as the scheduler sees them, including resources,
assigned resources, jobs current... | bceec54b302b0b70e77181d3940fd6e41b8922c4 | 21,482 |
def GaugeSet(prefix, *, name, index, **kwargs):
"""
Factory function for Gauge Set.
Parameters
----------
prefix : str
Gauge base PV (up to 'GCC'/'GPI').
name : str
Name to refer to the gauge set.
index : str or int
Index for gauge (e.g. '02' or 3).
prefix_con... | ef856c77e414d8bc4532483e5b65aa3ebb0cc132 | 21,483 |
def user_rating(user, object, category=""):
"""
Usage:
{% user_rating user obj [category] as var %}
"""
return user_rating_value(user, object, category) | 09ac3ea8d1efcc3dc70d82bf5266f3e768a35c3b | 21,484 |
import numpy
def weighted_mean(
x: NumericOrIter,
w: NumericOrIter = None,
na_rm: bool = False,
) -> NumericType:
"""Calculate weighted mean"""
if is_scalar(x):
x = [x] # type: ignore
if w is not None and is_scalar(w):
w = [w] # type: ignore
x = Array(x)
if w is not N... | 4034d642629696f1be73c62384bf6633ccb6efe1 | 21,485 |
import socket
def internet(host="8.8.8.8", port=53, timeout=10):
"""
Check Internet Connections.
:param host: the host that check connection to
:param port: port that check connection with
:param timeout: times that check the connnection
:type host:str
:type port:int
:type timeout:i... | c0ee11cf7aa9699a077e238d993136aeb4efcead | 21,486 |
def parse_date(td):
"""helper function to parse time"""
resYear = float(td.days)/364.0 # get the number of years including the the numbers after the dot
resMonth = int((resYear - int(resYear))*364/30) # get the number of months, by multiply the number after the dot by 364 and divide by 30... | bda78b0968b59c13f763e51f5f15340a377eeb35 | 21,487 |
import math
def hue_angle(a, b):
"""
Returns the *hue* angle :math:`h` in degrees.
Parameters
----------
a : numeric
Opponent colour dimension :math:`a`.
b : numeric
Opponent colour dimension :math:`b`.
Returns
-------
numeric
*Hue* angle :math:`h` in degr... | 2f508be9ed0cdcb0e8b193eefb441a6281a464c7 | 21,488 |
def perform_similarity_checks(post, name):
"""
Performs 4 tests to determine similarity between links in the post and the user name
:param post: Test of the post
:param name: Username to compare against
:return: Float ratio of similarity
"""
max_similarity, similar_links = 0.0, []
# Kee... | 78813c3b2223072a4a5b15a5a71837424a648470 | 21,489 |
def create_getters(tuples):
"""Create a series of itemgetters that return tuples
:param tuples: a list of tuples
:type tuples: collections.Iterable
:returns: a generator of item getters
:rtype: generator
::
>>> gs = list(create_getters([(0, 2), (), (1,)]))
>>> d = ['a', 'b', '... | 43d6fed8233ee56b91a52c024c533ae72c8e6890 | 21,490 |
def report_cots_cv2x_bsm(bsm: dict) -> str:
"""A function to report the BSM information contained in an SPDU from a COTS C-V2X device
:param bsm: a dictionary containing BSM fields from a C-V2X SPDU
:type bsm: dict
:return: a string representation of the BSM fields
:rtype: str
"""
report =... | df0aa5ae4b50980088fe69cb0b776abbf0b0998d | 21,491 |
import logging
def get_level_matrix(matrix, level):
"""Returns a binary matrix with positions exceeding a threshold.
matrix = numpy array object
level = floating number
The matrix it returns has 1 in the positions where matrix
has values above level and 0 elsewhere."""
logging.info("Selectin... | 1516f14970471c4f9402fcbf2cfb2a0d017e754e | 21,492 |
def bookmark(repo, subset, x):
"""``bookmark([name])``
The named bookmark or all bookmarks.
If `name` starts with `re:`, the remainder of the name is treated as
a regular expression. To match a bookmark that actually starts with `re:`,
use the prefix `literal:`.
"""
# i18n: "bookmark" is a ... | 71fd382ad0710e2e54a80b0b739d04c6d5410719 | 21,493 |
def indel_protein_processor(df, refgene, proteincdd=None):
"""Calculate protein features
Features not used in the final model are commented out
Args:
df (pandas.DataFrame)
refgene (str): path to refCodingExon.bed.gz
proteincdd (str): optional, path to proteinConservedDomains.t... | 721b4b19838ac2d6cd21f471d647c34c3586ebb2 | 21,494 |
def perdict_raw(model, *args, **kwargs):
"""
Tries to call model.predict(*args, **kwargs, prediction_type="RawFormulaVal"). If that fail,
calls model.predict(*args, **kwargs)
"""
try:
return model.predict(*args, **kwargs, prediction_type="RawFormulaVal")
except TypeError:
return ... | 2ab7790c0cd48cc9b26f6e7888dd61436cb728b4 | 21,495 |
def login_required(arg):
""" Decorator to check if a user is logged in"""
@wraps(arg)
def wrap(*args, **kwargs):
"""Checking if token exists in the request header"""
if request.headers.get('Authorization'):
auth_token = request.headers.get('Authorization')
token = aut... | 2d41e2cd41621a0ce6015182badd7a4117c1daf6 | 21,496 |
def calc_manual_numbers(n):
"""
>>> calc_manual_numbers(1)
20151125
>>> calc_manual_numbers(2)
31916031
>>> calc_manual_numbers(3)
18749137
>>> calc_manual_numbers(21)
33511524
"""
return (BASE * pow(FACTOR, n - 1, MOD)) % MOD | d0a276da3eb931afcf6b60b1b6172b468e59b95c | 21,497 |
def accuracy(y0, y1):
"""
compute accuracy for y1 and y2 does not meter if either of them is in vector or integer form
:param y0: list of - labels or vector of probabilities
:param y1: list of - labels or vector of probabilities
:return: accuracy
"""
if not isinstance(y0[0], (int, float, np.... | b0e1077a8443e3d325b3238355c1a578af8823e3 | 21,498 |
import random
def random_function(*args):
"""Picks one of its arguments uniformly at random, calls it, and returns the result.
Example usage:
>>> random_function(lambda: numpy.uniform(-2, -1), lambda: numpy.uniform(1, 2))
"""
choice = random.randint(0, len(args) - 1)
return args[choi... | 3f8d11becc52fde5752671e3045a9c64ddfeec97 | 21,499 |
def get_transceiver_sensor_sub_id(ifindex, sensor):
"""
Returns sub OID for transceiver sensor. Sub OID is calculated as folows:
sub OID = transceiver_oid + XCVR_SENSOR_PART_ID_MAP[sensor]
:param ifindex: interface index
:param sensor: sensor key
:return: sub OID = {{index}} * 1000 + {{lane}} * ... | 4c718feb45384ab6bef11e1f3c42ab4cd8d0ae2c | 21,500 |
def patch_twitter_get_following_users(value):
"""Return a function decorator which patches the TwitterClient.get_following_user_ids method."""
return patch_twitter_client_method("get_following_user_ids", value) | 296d20a3dbce3684cb2af2568c64fac25ab345c9 | 21,501 |
def conv1x1_1d(inplanes: int,
outplanes: int,
stride: int = 1) -> nn.Conv1d:
"""1x1一维卷积，用于短接时降采样"""
return nn.Conv1d(
inplanes,
outplanes,
kernel_size=(1,),
stride=(stride,),
padding=0,
bias=False
) | 481dc7b71b31ae6199bcafd1112bf1541d7a5d25 | 21,502 |
import struct
def unpack_mmap_block(mm, n):
"""Decode the nth 4-byte long byte string from mapped memory."""
return struct.unpack("<L", mm[n*DATA_BLOCK_SIZE:(n+1)*DATA_BLOCK_SIZE])[0] | a75ac48e188e03e1ec7d3c289ffdd8e12173bc6f | 21,504 |
def tobs():
"""Return a list of temperatures for prior year"""
# * Query for the dates and temperature observations from the last year.
# * Convert the query results to a Dictionary using `date` as the key and `tobs` as the value.
# * Return the json representation of your dictionary.
las... | c7411130bb5c8d956d10a2ba3ce535f41ca04474 | 21,505 |
def reactToAMQPMessage(message, send_back):
"""
React to given (AMQP) message. `message` is expected to be
:py:func:`collections.namedtuple` structure from :mod:`.structures` filled
with all necessary data.
Args:
message (object): One of the request objects defined in
... | fd34510d58e6b164f37f93c0b17f2b2a1c8d32d2 | 21,506 |
def recE(siEnergy, layer):
""" Reconstructed energy from sim energy """
return ( (siEnergy/mipSiEnergy) * layerWeights[layer-1] + siEnergy)*\
secondOrderEnergyCorrection | 9efde4432f3a81ff06505c6fbb529be7404027d4 | 21,507 |
def get_account_id():
"""
Retrieve the AWS account ID
"""
client = boto3.client("sts")
account_id = client.get_caller_identity()["Account"]
return account_id | 579bdc686a0ceb5d71e180bf8ce7a17243cff849 | 21,508 |
def process_tag(item, profile, level=0):
"""
Processes element with <code>tag</code> type
@type item: ZenNode
@type profile: dict
@type level: int
"""
if not item.name:
# looks like it's root element
return item
attrs = make_attributes_string(item, profile)
cursor = profile['place_cursor'] and zen_codin... | 7d06160cadb0d828799713d888327a41e7ab0b80 | 21,509 |
from typing import Optional
import google
def read_secret(project_id: str, secret_name: str) -> Optional[str]:
"""Reads the latest version of a GCP Secret Manager secret.
Returns None if the secret doesn't exist."""
secret_manager = secretmanager.SecretManagerServiceClient()
secret_path = secret_man... | 388fa51983452f0852646d1ed1ab183da706c0ab | 21,510 |
import xml
def find_in_xml(data, search_params):
"""Try to find an element in an xml
Take an xml from string or as xml.etree.ElementTree
and an iterable of strings (and/or tuples in case of findall) to search.
The tuple should contain the string to search for and a true value.
"""
if isinstan... | 1cb4685a042349231cd946116a4894ca5b9d68d5 | 21,511 |
def conditional_expect(
X,
func,
reg,
method=None,
quantile_method=None,
n_integration_samples=10,
quad_dict=None,
random_state=None,
include_x=False,
include_idx=False,
vector_func=False,
):
"""Calculates the conditional expectation, i.e. E[func(Y)|X=x_eval], where
Y... | fb89adedeada5e100f2483d927d945ffe2d99034 | 21,512 |
def getSumOfSquaresPixel16_Image16(Image):
"""getSumOfSquaresPixel16_Image16(Image) -> unsigned __int16"""
return _ImageFunctions.getSumOfSquaresPixel16_Image16(Image) | 9ba21171e26fc32d938a3f377684830df5f03b8f | 21,513 |
def parse_statement(parsed, output):
"""Parses a tokenized sql_parse token and returns an encoded table."""
# Get the name of the table being created
table_name = next(token.value for token in parsed.tokens if isinstance(token, Identifier))
# Add the table metadata to the cached tables to access later.
... | a81791deac59e496145993bba0547294d5d5a7fa | 21,514 |
def create_hue_success_response(entity_number, attr, value):
"""Create a success response for an attribute set on a light."""
success_key = f"/lights/{entity_number}/state/{attr}"
return {"success": {success_key: value}} | c8570ca95ada89bd26d93f659261c91032c915c7 | 21,515 |
import warnings
def get_deaths():
"""***DEPRECATED - Use get_data_jhu instead.***
Get most recent fatality counts from JHU."""
# Deprecated warning
url = "https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/"
warnings.warn("This function is... | c747d27b10d0845520f4dbbfbb5efcf23c655b7e | 21,516 |
def transform_sentence(text, model):
"""
Mean embedding vector
"""
def preprocess_text(raw_text, model=model):
"""
Excluding unknown words and get corresponding token
"""
raw_text = raw_text.split()
return list(filter(lambda x: x in model.vocab, raw_text))
... | 57f9002e4f7fccefa824f1691324b4593b11fbe0 | 21,517 |
from typing import Sequence
from typing import List
import inspect
def model_primary_key_columns_and_names(Model: DeclarativeMeta) -> (Sequence[Column], List[str]):
""" Get the list of primary columns and their names as two separate tuples
Example:
pk_columns, pk_names = model_primary_key_columns_an... | 9466524452a77459042081e7becf968302b3dd3b | 21,518 |
def biweekly_test_data():
""" Provides test data for the full system test when using "biweekly" time_scale."""
time_scale = "biweekly"
time_per_task = {
"Free" : 480 * 9 * 2,
"Work" : 480 * 5 * 2,
"Sleep" : 480 * 7 * 2
}
min_task_time = 60
preferences = {
"Free" :... | b5f354a17819133c3c29e7652f6b1132599e89b6 | 21,519 |
def plot_bar_whiskers_jitter_significance(data, comparison_columns,
significant_comparison_columns,
heights, ylabel,
xlabels=None,
ax_handle=None,
... | dfdaf95034d3d53fac7c79eb4c7b387f9ac18f5b | 21,520 |
def _is_trans_valid(seed, mutate_sample):
"""
Check a mutated sample is valid. If the number of changed pixels in
a seed is less than pixels_change_rate*size(seed), this mutate is valid.
Else check the infinite norm of seed changes, if the value of the
infinite norm less than pixel_value_change_rate... | 118dc0e566fc4f5c481d21f8c8aec7fe4f1ece29 | 21,521 |
def split_axis(x, indices_or_sections, axis):
"""Splits given variables along an axis.
Args:
x (tuple of Variables): Variables to be split.
indices_or_sections (int or 1-D array): If this argument is an integer,
N, the array will be divided into N equal arrays along axis.
... | 245841aaef14ea130b20254775152a9199d63c41 | 21,522 |
def status(**kwargs):
"""Execute \"git status\" on the repository."""
status = check_output(["git", "status"]).decode("utf-8")
repo_clean = True
for keyword in ["ahead", "modified", "untracked"]:
if keyword in status:
repo_clean = False
return {"clean": repo_clean, "status": st... | 8e81264579628407e8560a6d89be884179636ea9 | 21,523 |
from typing import Counter
def find_listener_frequent_words(df, num):
"""
Given a conversation dataframe from a certain subreddit, find the top frequent words spoken by listeners.
Args:
df: A specified dataframe from a subreddit.
num: A ranking number used for finding the top frequent wor... | 80bc4b95e5713429751ff1725afce4ac02f0bddd | 21,525 |
def is_rescue_entry(boot_entry):
"""
Determines whether the given boot entry is rescue.
:param BootEntry boot_entry: Boot entry to assess
:return: True is the entry is rescue
:rtype: bool
"""
return 'rescue' in boot_entry.kernel_image.lower() | ba456c2724c3ad4e35bef110ed8c4cc08147b42c | 21,526 |
import base64
def estimate_cost(features, ssd):
"""Generate a TensorFlow subgraph to estimate the cost of an architecture.
Args:
features: A 1D float tensor containing features for a single network
architecture.
ssd: The name of the search space definition to use for the cost model.
Returns:
... | 2c85cc5d320cd214dae260793a1c779d8019177c | 21,527 |
import yaml
def IsResourceLike(item):
"""Return True if item is a dict like object or list of dict like objects."""
return yaml.dict_like(item) or (yaml.list_like(item) and
all(yaml.dict_like(x) for x in item)) | bc6ae6c4d84949511c679116454343731e8d8bd2 | 21,529 |
import math
def rad_to_gon(angle: float) -> float:
"""Converts from radiant to gon (grad).
Args:
angle: Angle in rad.
Returns:
Converted angle in gon.
"""
return angle * 200 / math.pi | cbf7070a9c3a9796dfe4bffe39fdf2421f7279ed | 21,530 |
def check_interface_status(conn_obj, interface, state, device="dut"):
"""
API to check the interface state
Author: Chaitanya Vella (chaitanya-vella.kumar@broadcom.com)
:param conn_obj:
:param interface:
:param state:
:param device:
:return:
"""
interface_state = get_interface_sta... | 484c1a8dcf96a3160791a63979d47096e5e51fbc | 21,531 |
def hungarian_match(self, y_true, y_pred):
"""Matches predicted labels to original using hungarian algorithm."""
y_true = self.adjust_range(y_true)
y_pred = self.adjust_range(y_pred)
D = max(y_pred.max(), y_true.max()) + 1
w = np.zeros((D, D), dtype=np.int64)
# Confusion matrix.
fo... | 29a9976edcfa4a935d451f6471641b3836343d83 | 21,532 |
import torch
def orthantree(scaled, capacity=8):
"""Constructs a :ref:`tree <presolve>` for the given :func:`~pybbfmm.scale`'d problem.
This is a bit of a mess of a function, but long story short it starts with all the sources allocated to the root
and repeatedly subdivides overfull boxes, constructing t... | 9813697be3b19a2d7e3b71f28b1212c91a590fd3 | 21,533 |
def make_sparse(
docs_to_fit, min_df=50, stop_words=None,
docs_to_transform=None, ngram_range=None,
):
"""
Take a pre-tokenized document and turn into a sparse matrix.
:param docs_to_fit: A list of lists of tokenized words to build the vocabulary from.
:param min_df: Number of records th... | 467d04f465ed4c19b4e20aa69c05508f6faafdc6 | 21,534 |
import random
def weightedPriorityReliabilityScore(service_instances, last_records):
"""
Algorithm to find highest priority of the service based on
reliability score achieved in past discovery results
"""
priority_list = []
for i in range(0, len(service_instances)):
sin... | e215ae3e4009de7e8e6e8a8a0b66a66238e30f16 | 21,535 |
def calculate_output(param_dict, select_device, input_example):
"""Calculate the output of the imported graph given the input.
Load the graph def from graph file on selected device, then get the tensors based on the input and output name from the graph,
then feed the input_example to the graph and retrieve... | e98bf63743d7f940170ca7ab4dcd97b751be178f | 21,536 |
def is_instance_failed_alarm(alarms, instance, guest_hb=False):
"""
Check if an instance failed alarm has been raised
"""
expected_alarm = {'alarm_id': fm_constants.FM_ALARM_ID_VM_FAILED,
'severity': fm_constants.FM_ALARM_SEVERITY_CRITICAL}
return _instance_alarm_raised(alarms... | 5c886bea0b72d52392ed38217af20b7ebc87bd91 | 21,537 |
def detected(numbers, mode):
"""
Returns a Boolean result indicating whether the last member in a numeric array is the max or
min, depending on the setting.
Arguments
- numbers: an array of numbers
- mode: 'max' or 'min'
"""
call_dict = {'min': min, 'max': max}
if mode not in ca... | b0a5b19e7d97db99769f28c4b8ce998dbe318c5b | 21,539 |
import math
def calculate_compass_bearing(point_a, point_b):
"""
Calculates the bearing between two points.
The formulae used is the following:
θ = atan2(sin(Δlong).cos(lat2),
cos(lat1).sin(lat2) − sin(lat1).cos(lat2).cos(Δlong))
:Parameters:
- `pointA: The tuple repres... | 535fc0cfc086974b1e329df297bdbea4aab1f127 | 21,540 |
import re
def parse_instructions(instruction_list):
"""
Parses the instruction strings into a dictionary
"""
instruction_dict = []
for instruction in instruction_list:
regex_match = re.match(r"(?P<direction>\w)(?P<value>\d*)",instruction)
if regex_match:
instruction_dic... | 67b773bae0cb2cc0509503f2ea27f3312ce9d41c | 21,541 |
def calc_elapsed_sleep(in_num, hyp_file, fpath, savedir, export=True):
"""
Calculate minutes of elapsed sleep from a hypnogram file & concatenate stage 2 sleep files
Parameters
----------
in_num: str
patient identifier
hyp_file: str (format: *.txt)
file with hypnogram at 30-sec... | 61390b205c7dcbd65884e8f073f1b1395f1d1ca2 | 21,542 |
def valid_pairs(pairs, chain):
"""
Determine if the chain contains any invalid pairs (e.g. ETH_XMR)
"""
for primary, secondary in zip(chain[:-1], chain[1:]):
if not (primary, secondary) in pairs and \
not (secondary, primary) in pairs:
return False
return True | c9e36d0490893e1b1a6cd8c3fb0b14b382d69515 | 21,543 |
from typing import Any
def fqname_for(obj: Any) -> str:
"""
Returns the fully qualified name of ``obj``.
Parameters
----------
obj
The class we are interested in.
Returns
-------
str
The fully qualified name of ``obj``.
"""
if "<locals>" in obj.__qualname__:
... | 6d4e5db255715c999d1bb40533f3dbe03b948b07 | 21,545 |
def symbol_size(values):
""" Rescale given values to reasonable symbol sizes in the plot. """
max_size = 50.0
min_size = 5.0
# Rescale max.
slope = (max_size - min_size)/(values.max() - values.min())
return slope*(values - values.max()) + max_size | a33f77ee8eeff8d0e63035c5c408a0788b661886 | 21,547 |
from datetime import datetime
def delete(id):
"""Soft delete a patient."""
check_patient_permission(id)
patient = Patient.query.get(id)
patient.deleted = datetime.datetime.now()
patient.deleted_by = current_user
db.session.commit()
return redirect(url_for('screener.index')) | 0e9c984bb8bf8429c662f1af14945089789b8bc8 | 21,548 |
import torch
import tensorflow as tf
def _to_tensor(args, data):
"""Change data to tensor."""
if vega.is_torch_backend():
data = torch.tensor(data)
if args.device == "GPU":
return data.cuda()
else:
return data
elif vega.is_tf_backend():
data = tf.con... | 77d87982c81232bac4581eb5269629c268a7fe16 | 21,551 |
def materialize_jupyter_deployment(
config: ClusterConfig,
uuid: str,
definition: DeploymentDefinition) -> JupyterDeploymentImpl: # noqa
"""Materializes the Jupyter deployment definition.
:param config: Cluster to materialize the Jupyter deployment with.
:param uuid: Unique... | d4a12efd7d4f55d5261734cf3eb0dd3b230c363d | 21,552 |
def _CreateLSTMPruneVariables(lstm_obj, input_depth, h_depth):
"""Function to create additional variables for pruning."""
mask = lstm_obj.add_variable(
name="mask",
shape=[input_depth + h_depth, 4 * h_depth],
initializer=tf.ones_initializer(),
trainable=False,
dtype=lstm_obj.dtype)
... | 398dd89a9b8251f11aef3ba19523e26861ff5874 | 21,553 |
def get_index_fredkin_gate(N, padding = 0):
"""Get paramaters for log2(N) Fredkin gates
Args:
- N (int): dimensional of states
- padding (int, optional): Defaults to 0.
Returns:
- list of int: params for the second and third Frekin gates
"""
indices = []
for i in range(... | d7ab1f4bc414ad741533d5fabfb0f7c8b4fe0959 | 21,554 |
def import_by_name(name):
"""
动态导入
"""
tmp = name.split(".")
module_name = ".".join(tmp[0:-1])
obj_name = tmp[-1]
module = __import__(module_name, globals(), locals(), [obj_name])
return getattr(module, obj_name) | 714ca90704d99a8eafc8db08a5f3df8e17bc6da4 | 21,555 |
def f1_score(y_true, y_pred):
"""F-measure."""
p = precision(y_true, y_pred)
r = true_positive_rate(y_true, y_pred)
return 2 * (p * r) / (p + r) | e5f79def2db902bb0aa1efd9ea1ccef52b62072a | 21,556 |
def hexColorToInt(rgb):
"""Convert rgb color string to STK integer color code."""
r = int(rgb[0:2],16)
g = int(rgb[2:4],16)
b = int(rgb[4:6],16)
color = format(b, '02X') + format(g, '02X') + format(r, '02X')
return int(color,16) | 59b8815d647b9ca3e90092bb6ee7a0ca19dd46c2 | 21,557 |
import torch
def test(model, X, model_type, test_type, counter=False):
"""Test functions."""
if model_type == 'notear-mlp':
X = np.vstack(X)
y = model(torch.from_numpy(X))
y = y.cpu().detach().numpy()
mse = mean_squared_loss(y.shape[0], y[:, 0], X[:, 0])
elif model_type == 'notear-castle':
... | cb98e2096052270e786bbb81fafc328076b1aa40 | 21,558 |
def scale():
"""
Returns class instance of `Scale`.
For more details, please have a look at the implementations inside `Scale`.
Returns
-------
Scale :
Class instance implementing all 'scale' processes.
"""
return Scale() | f5fb9daf9baaf86674be110aae78b1bf91f09371 | 21,559 |
def imread_rgb(filename):
"""Read image file from filename and return rgb numpy array"""
bgr = cv2.imread(filename)
rgb = cv2.cvtColor(bgr, cv2.COLOR_BGR2RGB)
return rgb | 6fcef3f9f5d8b02c28c596f706f3e1fcf685dd24 | 21,560 |
def insert_at_index(rootllist, newllist, index):
""" Insert newllist in the llist following rootllist such that newllist is at the provided index in the resulting llist"""
# At start
if index == 0:
newllist.child = rootllist
return newllist
# Walk through the list
curllist = rootllist
for i in ran... | 767cde29fbc711373c37dd3674655fb1bdf3fedf | 21,561 |
def kpi_value(request, body):
"""kpi值接口 根据 indicator 传入参数不同请求不同的 handler"""
params = {
"indicator": body.indicator
}
handler = KpiFactory().create_handler(params["indicator"])
result = handler(params=params)
return DashboardResult(content=result) | 5f242028d7f95b1ffa81690c3ed1b1d7006cf97c | 21,562 |
def safeReplaceOrder( references ):
"""
When inlining a variable, if multiple instances occur on the line, then the
last reference must be replaced first. Otherwise the remaining intra-line
references will be incorrect.
"""
def safeReplaceOrderCmp(self, other):
return -cmp(self.colno, o... | dae29bf1c8da84c77c64210c4d897ac4a9d0c098 | 21,563 |
def clean_value(value: str) -> t.Union[int, float, str]:
"""Return the given value as an int or float if possible, otherwise as the original string."""
try:
return int(value)
except ValueError:
pass
try:
return float(value)
except ValueError:
pass
return value | 52c09e2aaf77cb22e62f47e11226350112390eb2 | 21,565 |
import types
def sumstat(*L):
"""
Sums a list or a tuple L
Modified from pg 80 of Web Programming in Python
"""
if len(L) == 1 and \
( isinstance(L[0],types.ListType) or \
isinstance (L[0], types.TupleType) ) :
L = L[0]
s = 0.0
for k in L:
s = s + k
... | c37aa0aa0b7dbf6adbe77d82b27b25e469891795 | 21,566 |
def halref_to_data_url(halref: str) -> str:
"""
Given a HAL or HAL-data document URIRef, returns the corresponding HAL-data URL
halref: str
HAL document URL
(Most important!) https://hal.archives-ouvertes.fr/hal-02371715v2 -> https://data.archives-ouvertes.fr/document/hal-02371715v... | 48ef6629fc3198af2c8004a3dbcbbde6e700cb12 | 21,567 |
def find_best_rate():
"""
Input: Annual salary, semi-annual raise, cost of home
Assumes: a time frame of three years (36 months), a down payment of 25% of the total cost,
current savings starting from 0 and annual return of 4%
Returns the best savings rate within (plus/minus) $100 of the downpayme... | 451fc72c006182b63233376a701b4cbb855ad39a | 21,568 |
def q_inv(a):
"""Return the inverse of a quaternion."""
return [a[0], -a[1], -a[2], -a[3]] | e8d06e7db6d5b23efab10c07f4b9c6088190fa07 | 21,569 |
def divide_hex_grid_flower(points, hex_radius=None):
"""Partitions a hexagonal grid into a flower pattern (this is what I used for the final product. Returns a list of partition indices for each point."""
if hex_radius is None: # copied from build_mirror_array()
mini_hex_radius = (10 * 2.5 / 2) + 1
... | 9f77e85d4bbfd00ea5eff6905209aad84e3a9191 | 21,570 |
def fis_gauss2mf(x:float, s1:float, c1:float, s2:float, c2:float):
"""Split Gaussian Member Function"""
t1 = 1.0
t2 = 1.0
if x < c1:
t1 = fis_gaussmf(x, s1, c1)
if x > c2:
t2 = fis_gaussmf(x, s2, c2)
return (t1 * t2) | 443e02dff7ab3827ac0006443964f45a6f9f4ce2 | 21,571 |
def _is_trigonal_prism(vectors, dev_cutoff=15):
"""
Triangular prisms are defined by 3 vertices in a triangular pattern on two
aligned planes. Unfortunately, the angles are dependent on the length and
width of the prism. Need more examples to come up with a better way of
detecting this shape.
For now, this... | 2b3ffb318b3201923828eea8f4769a6ce854dd58 | 21,572 |
def priority(n=0):
"""
Sets the priority of the plugin.
Higher values indicate a higher priority.
This should be used as a decorator.
Returns a decorator function.
:param n: priority (higher values = higher priority)
:type n: int
:rtype: function
"""
def wrapper(cls):
cls... | 58ab19fd88e9e293676943857a0fa04bf16f0e93 | 21,575 |
import math
def vecangle(u,v):
"""
Calculate as accurately as possible the angle between two 3-component vectors u and v.
This formula comes from W. Kahan's advice in his paper "How Futile are Mindless Assessments
of Roundoff in Floating-Point Computation?" (https://www.cs.berkeley.edu/~wkahan/Mindles... | dde6ebed830130f122b0582d4c19963a061a3d31 | 21,576 |
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