content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def collaspe_fclusters(data=None, t=None, row_labels=None, col_labels=None,
linkage='average', pdist='euclidean', standardize=3, log=False):
"""a function to collaspe flat clusters by averaging the vectors within
each flat clusters achieved from hierarchical clustering"""
## preprocess data
if log:
data = np.l... | 879ba2e9469831b096f716dbbb38047580d76844 | 19,968 |
from typing import Union
def iapproximate_add_fourier_state(self,
lhs: Union[int, QuantumRegister],
rhs: QRegisterPhaseLE,
qcirc: QuantumCircuit,
approximation: int = None) -> Ap... | 3e1ccb2576e8babdb589c60aec51f585001bdd9a | 19,969 |
import itertools
def _get_indices(A):
"""Gets the index for each element in the array."""
dim_ranges = [range(size) for size in A.shape]
if len(dim_ranges) == 1:
return dim_ranges[0]
return itertools.product(*dim_ranges) | dc2e77c010a6cfd7dbc7b7169f4bd0d8da62b891 | 19,970 |
def calculateOriginalVega(f, k, r, t, v, cp):
"""计算原始vega值"""
price1 = calculatePrice(f, k, r, t, v*STEP_UP, cp)
price2 = calculatePrice(f, k, r, t, v*STEP_DOWN, cp)
vega = (price1 - price2) / (v * STEP_DIFF)
return vega | 7b90662003231b50c4d758c3a7beb122b90c05e7 | 19,971 |
def to_numpy(tensor):
""" Converts a PyTorch Tensor to a Numpy array"""
if isinstance(tensor, np.ndarray):
return tensor
if hasattr(tensor, 'is_cuda'):
if tensor.is_cuda:
return tensor.cpu().detach().numpy()
if hasattr(tensor, 'detach'):
return tensor.detach().numpy()... | c5186918fe7a07054607df500d61b32ae1b0037f | 19,973 |
def _maybe_to_dense(obj):
"""
try to convert to dense
"""
if hasattr(obj, 'to_dense'):
return obj.to_dense()
return obj | a2f18aec19bd0bad58a35e772180b94d649262e1 | 19,976 |
def update_visit_counter(visit_counter_matrix, observation, action):
"""Update the visit counter
Counting how many times a state-action pair has been
visited. This information can be used during the update.
@param visit_counter_matrix a matrix initialised with zeros
@param observation the state... | 418097d34f194c81e38e3d6b122ae743c7b73452 | 19,977 |
from datetime import datetime
def pandas_time_safe(series):
"""Pandas check time safe"""
return (series.map(dt_seconds)
if isinstance(series.iloc[0], datetime.time)
else series) | f802d7ad4cd9c9dbf426b2c1436c41402b24da0b | 19,978 |
def binary_cross_entropy_loss(predicted_y, true_y):
"""Compute the binary cross entropy loss between a vector of labels of size N and a vector of probabilities of same
size
Parameters
----------
predicted_y : numpy array of shape (N, 1)
The predicted probabilities
true_y : numpy array o... | ba72db9051976a9d07355a1b246a22faea43b2b1 | 19,979 |
def money_flow_index(high, low, close, volume, n=14, fillna=False):
"""Money Flow Index (MFI)
Uses both price and volume to measure buying and selling pressure. It is
positive when the typical price rises (buying pressure) and negative when
the typical price declines (selling pressure). A ratio of posi... | bd2cbb7b18c7be8d5c0ec0a984c4f3cadf295eec | 19,980 |
def parse_args(args=[], doc=False):
"""
Handle parsing of arguments and flags. Generates docs using help from `ArgParser`
Args:
args (list): argv passed to the binary
doc (bool): If the function should generate and return manpage
Returns:
Processed args and a copy of the `ArgPa... | 355d8e8722171ab64ebdc02d1fe39db7521a497b | 19,981 |
def gaussian_kernel_dx_i_dx_j(x, y, sigma=1.):
""" Matrix of \frac{\partial k}{\partial x_i \partial x_j}"""
assert(len(x.shape) == 1)
assert(len(y.shape) == 1)
d = x.size
pairwise_dist = np.outer(y-x, y-x)
x_2d = x[np.newaxis,:]
y_2d = y[np.newaxis,:]
k = gaussian_kernel(x_2d, y_2d, ... | 626f38a5a5e1e7c7dd98c92636a424c74fc7146b | 19,982 |
from pathlib import Path
import tarfile
def clone_compressed_repository(base_path, name):
"""Decompress and clone a repository."""
compressed_repo_path = Path(__file__).parent / "tests" / "fixtures" / f"{name}.tar.gz"
working_dir = base_path / name
bare_base_path = working_dir / "bare"
with tarf... | bbd733b079ebedb91687597180b0f98825f6ed6c | 19,983 |
def slices(series, length):
"""
Given a string of digits, output all the contiguous substrings
of length n in that string in the order that they appear.
:param series string - string of digits.
:param length int - the length of the series to find.
:return list - List of substrings of specif... | ea2d1caf26a3fc2e2a57858a7364b4ebe67297d6 | 19,984 |
from where.models.delay import gnss_range # Local import to avoid cyclical import
def get_flight_time(dset):
"""Get flight time of GNSS signal between satellite and receiver
Args:
dset(Dataset): Model data
Return:
numpy.ndarray: Flight time of GNSS signal between satellite and rec... | 503bfb55fc10bef9f610291aa0f35e0530c8b0f2 | 19,985 |
def textToTuple(text, defaultTuple):
"""This will convert the text representation of a tuple into a real
tuple. No checking for type or number of elements is done. See
textToTypeTuple for that.
"""
# first make sure that the text starts and ends with brackets
text = text.strip()
if t... | 89fed32bff39ad9e69513d7e743eb05a3bf7141a | 19,986 |
def m2m_bi2uni(m2m_list):
""" Splits a bigram word model into a unique unigram word model
i=11, j=3 i=10, j=3 i=9,10,11,12, j=3,4,5,6
###leilatem### ###leilatem### ###leilatem###
###temum### ###temum### ###temum###
^ ... | 37f1644dc16bc0e4dd47acd7a69f1c2d6fbfc6d5 | 19,987 |
import time
def time_func(func):
"""Times how long a function takes to run.
It doesn't do anything clever to avoid the various pitfalls of timing a function's runtime.
(Interestingly, the timeit module doesn't supply a straightforward interface to run a particular
function.)
"""
def timed(*a... | 3506ad28c424434402f3223a43daff4eb51b7763 | 19,988 |
def GetPhiPsiChainsAndResiduesInfo(MoleculeName, Categorize = True):
"""Get phi and psi torsion angle information for residues across chains in
a molecule containing amino acids.
The phi and psi angles are optionally categorized into the following groups
corresponding to four types of Ramachandran plo... | 07295d99f3f2150e4a9e0782bf376ac1aa22a499 | 19,989 |
def generate_data(n_samples=30):
"""Generate synthetic dataset. Returns `data_train`, `data_test`,
`target_train`."""
x_min, x_max = -3, 3
x = rng.uniform(x_min, x_max, size=n_samples)
noise = 4.0 * rng.randn(n_samples)
y = x ** 3 - 0.5 * (x + 1) ** 2 + noise
y /= y.std()
data_train = p... | f7d2f5637327119d5f08fe2ccbfe2d4f41a34c5c | 19,990 |
def get_element_event(element_key):
"""
Get object's event.
"""
model = apps.get_model(settings.WORLD_DATA_APP, "event_data")
return model.objects.filter(trigger_obj=element_key) | bd177573035209e97110a2213cbe98b3b2eadafb | 19,991 |
import operator
def get_seller_price(sellers,seller_id,core_request):
"""
sellers is a list of list where each list contains follwing item in order
1. Seller Name
2. Number of available cores
3. Price of each core
4. List of lists where length of main list is equal to number of cores. Length of minor list will ... | a1103b05409cdab20dd1982f5839a712939c3c3f | 19,992 |
def create_affiliation_ttl(noun_uri: str, noun_text: str, affiliated_text: str, affiliated_type: str) -> list:
"""
Creates the Turtle for an Affiliation.
@param noun_uri: String holding the entity/URI to be affiliated
@param noun_text: String holding the sentence text for the entity
@param affiliat... | d641a5aa77860dad48c605b3486bc83c0250d551 | 19,993 |
from typing import Tuple
def get_subpixel_indices(col_num: int) -> Tuple[int, int, int]:
"""Return a 3-tuple of 1-indexed column indices representing subpixels of a single pixel."""
offset = (col_num - 1) * 2
red_index = col_num + offset
green_index = col_num + offset + 1
blue_index = col_num + of... | cb4a1b9a4d27c3a1dad0760267e6732fe2d0a0da | 19,994 |
def sigmoid(x):
""" This function computes the sigmoid of x for NeuralNetwork"""
return NN.sigmoid(x) | 534391dc7b39aede21e6a66692bc1ca2ea1ce8b6 | 19,995 |
def extractTranslatingSloth(item):
"""
'Translating Sloth'
"""
vol, chp, frag, postfix = extractVolChapterFragmentPostfix(item['title'])
if not (chp or vol or frag) or 'preview' in item['title'].lower():
return None
tagmap = [
('娘子我才是娃的爹', 'Wife, I Am the Baby\'s Father', 'translated'),
... | 0ed9f5d4ae4c69fae2dc46e0260e29d1c97225af | 19,996 |
def human(number: int, suffix='B') -> str:
"""Return a human readable memory size in a string.
Initially written by Fred Cirera, modified and shared by Sridhar Ratnakumar
(https://stackoverflow.com/a/1094933/6167478), edited by Victor Domingos.
"""
for unit in ['', 'K', 'M', 'G', 'T', 'P', 'E', 'Z'... | b41e9014ee7afbacb40115f85223ae89b08094a8 | 19,997 |
def _get_field_names(field: str, aliases: dict):
"""
Override this method to customize how
:param field:
:param aliases:
:return:
"""
trimmed = field.lstrip("-")
alias = aliases.get(trimmed, trimmed)
return alias.split(",") | cb732c07018c33a546bf42ab1bf3516d2bd6c824 | 19,998 |
def get_answer(question_with_context):
"""
Get answer for question and context.
"""
# Create pipeline
question_answering_pipeline = pipeline('question-answering')
# Get answer
answer = question_answering_pipeline(question_with_context)
# Return answer
return answer | ba560ecf5aa07a59b697465e0c34c8b32ddf64e6 | 19,999 |
import numpy
def undiskify(z):
"""Maps SL(2)/U(1) poincare disk coord to Lie algebra generator-factor."""
# Conventions match (2.13) in https://arxiv.org/abs/1909.10969
return 2* numpy.arctanh(abs(z)) * numpy.exp(1j * numpy.angle(z)) | 9ac4cd521ca64decd082a34e35e0d080d3190e13 | 20,000 |
def mean_vertex_normals(vertex_count,
faces,
face_normals,
**kwargs):
"""
Find vertex normals from the mean of the faces that contain
that vertex.
Parameters
-----------
vertex_count : int
The number of vertices faces... | 767214b5c2ba701de5288009ee4ebfb90378446c | 20,001 |
def get_beam_jobs():
"""Returns the list of all registered Apache Beam jobs.
Returns:
list(BeamJob). The list of registered Apache Beam jobs.
"""
return [beam_job_domain.BeamJob(j) for j in jobs_registry.get_all_jobs()] | 24e22d487fdbdb02917011e94a6d5b985de67640 | 20,002 |
def z_norm(dataset, max_seq_len=50):
"""Normalize data in the dataset."""
processed = {}
text = dataset['text'][:, :max_seq_len, :]
vision = dataset['vision'][:, :max_seq_len, :]
audio = dataset['audio'][:, :max_seq_len, :]
for ind in range(dataset["text"].shape[0]):
vision[ind] = np.nan... | 8cf40069b2a8c042d357fab3b1e3aaf13c15c69e | 20,003 |
def days_upto(year):
"""
Return the number of days from the beginning of the test period to the
beginning of the year specified
"""
return sum([days_in_year(y) for y in range(2000,year)]) | f87295a53d839e2ce895ef5fe5490b77377d28eb | 20,004 |
def choose_field_size():
"""a function that crafts a field"""
while True:
print('Пожалуйста, задайте размер поля (число от 3 до 5):')
try:
field_size = int(input())
except ValueError:
continue
if field_size == 3:
print('\nПоле для игры:\n')
... | ed370aca1f13a9f93bb96e483885c67e1bd30317 | 20,006 |
def delete_submission_change(id):
"""Delete a post.
Ensures that the post exists and that the logged in user is the
author of the post.
"""
db = get_db()
db.execute('DELETE FROM submission_change WHERE id = ?', (id,))
db.commit()
return jsonify(status='ok') | a886dfd89939ca10d95877bd16bda313ccb9353d | 20,007 |
from datetime import datetime
def get_search_response(db, search_term):
"""Method to get search result from db or google api.
Args:
db: The database object.
search_term: The search term.
Returns:
String: List of relevant links separated by line break.
"""
# Find if the s... | 11180ad1ee57d2a778439fd260d5201d3723cfe7 | 20,008 |
def lattice_2d_rescale_wave_profile(kfit, X, dT, Z_C, Y_C, v, dx=1.):
"""
Fit the wave profile (X, dT) to the ODE solution (X_C, dT_C)
"""
# recenter the profile around 0
k0 = np.argmax(dT)
x0 = X[k0]
Z = kfit*(X.copy()-x0)
# retain a window corresponding to the input ODE solution
z... | 8caea59a092efd9632e4b705400f40aa0ebbec44 | 20,009 |
def extent_switch_ijk_kji(
extent_in: npt.NDArray[np.int_]) -> npt.NDArray[np.int_]: # reverse order of elements in extent
"""Returns equivalent grid extent switched either way between simulator and python protocols."""
dims = extent_in.size
result = np.zeros(dims, dtype = 'int')
for d in range... | c960591fa1f3b31bd0877fd75845a17fff8eff50 | 20,010 |
def create_data(f, x_vals):
"""Assumes f is a function of one argument
x_vals is an array of suitable arguments for f
Returns array containing results of applying f to the
elements of x_vals"""
y_vals = []
for i in x_vals:
y_vals.append(f(x_vals[i]))
return ... | 5f74402586c3f7d02c8d6146d5256dbccdf49e81 | 20,011 |
def register():
"""注册"""
req_dict = request.get_json()
phone = req_dict.get("phone")
password = req_dict.get("password")
password2 = req_dict.get("password2")
sms_code = req_dict.get("sms_code")
phone = str(phone)
sms_code = str(sms_code)
# 校验参数
if not all([phone, password, pass... | f9e6bc8dc30cb967843d0f47fada1b4b62c6b130 | 20,012 |
def cpp_flag(compiler):
"""Return the -std=c++[11/14/17] compiler flag.
The newer version is prefered over c++11 (when it is available).
"""
flags = ["-std=c++17", "-std=c++14", "-std=c++11"]
for flag in flags:
if has_flag(compiler, flag):
return flag
raise RuntimeError(
... | a21a0a8efcad62cc26ff033877c366d7d6acf09d | 20,013 |
def to_null(string):
"""
Usage::
{{ string|to_null}}
"""
return 'null' if string is None else string | 1868ca2c7474a8134f2dbb0b0e542ca659bf4940 | 20,014 |
import warnings
def get_mtime(path, mustExist=True):
"""
Get mtime of a path, even if it is inside a zipfile
"""
warnings.warn("Don't use this function", DeprecationWarning)
try:
return zipio.getmtime(path)
except IOError:
if not mustExist:
return -1
raise | 6c661fb5d7a874a8173ec509b07401e2120da95b | 20,015 |
def get_table_8():
"""表 8 主たる居室の照明区画݅に設置された照明設備の調光による補正係数
Args:
Returns:
list: 表 8 主たる居室の照明区画݅に設置された照明設備の調光による補正係数
"""
table_8 = [
(0.9, 1.0),
(0.9, 1.0),
(1.0, 1.0)
]
return table_8 | 89470f0242982755104dbb2afe0198e2f5afa5f4 | 20,016 |
import requests
import warnings
def query_epmc(query):
"""
Parameters
----------
query :
Returns
-------
"""
url = "https://www.ebi.ac.uk/europepmc/webservices/rest/search?query="
page_term = "&pageSize=999" ## Usual limit is 25
request_url = url + query + page_term
r =... | a8da1ee3253d51738f1d556548f6bccf17b32b53 | 20,017 |
def is_default_array_type(f, type_map=TYPE_MAP):
"""
Check whether the field is an array and is made up of default types, e.g. u8 or s16.
"""
return f.type_id == 'array' and type_map.get(f.options['fill'].value, None) | ec0e7a26261cc72e473d2c365bc452b2eeab396f | 20,018 |
def delete_police_station_collection():
"""
Helper function to delete station collection in db.
"""
result = PoliceStation.objects().delete()
return result | 7b3cc89269695fa494eb12a7b904fabd1974f3d8 | 20,019 |
def compute_asvspoof_tDCF(
asv_target_scores,
asv_nontarget_scores,
asv_spoof_scores,
cm_bonafide_scores,
cm_spoof_scores,
cost_model,
):
"""
Compute t-DCF curve as in ASVSpoof2019 competition:
Fix ASV threshold to EER point and compute t-DCF curve over thresholds in CM.
... | 27819737d7a1a84db10d78cce4c5edd16548e774 | 20,020 |
def all_divisor(n, includeN=True):
"""
>>> all_divisor(28)
[1, 2, 4, 7, 14, 28]
>>> all_divisor(28, includeN=False)
[1, 2, 4, 7, 14]
Derived from https://qiita.com/LorseKudos/items/9eb560494862c8b4eb56
"""
lower_divisors, upper_divisors = [], []
i = 1
while i * i <= n:
i... | 2fa0eb58eac30030cfbbfdcce62bc91cb36f218e | 20,021 |
def isTrue(value, noneIsFalse=True):
"""
Returns True if <value> is one of the valid string representations for True.
By default, None is considered False.
"""
if not value:
if noneIsFalse:
return False
else:
return None
else:
return value.lower() in TRUE_STRINGS | 16e69dc43ef2034d210803e8cc3ebf2ae13e13b2 | 20,022 |
import pickle
def read_doc_labels(input_dir):
"""
:param input_dir:
:return: doc labels
"""
with open(input_dir + "doc_labels.pkl", 'rb') as fin:
labels = pickle.load(fin)
return labels | c0246f8e09441782a7437177877cc1e4d83ecb40 | 20,023 |
def search(catalog_number):
"""
A top level `catalog_number` search that returns a list of result dicts.
Usually catalog numbers are unique but not always hence the returned list.
"""
results = query(catalog_number)
result_list = []
for result in results:
dict_result = vars(result)["... | 2a8ce325250cbaa5a9f307ef707c74c5101d84d3 | 20,025 |
def calculate_mean_probas(time_ser, model):
"""Calculate the metric to evaluate based on average probabilities
Args:
time_ser (np.ndarray): dynophore time series
model (HMM): Fitted HMM
Returns:
np.float: Probability of prediting the given time series based on the fitted model
... | b8320a24c01e56c89b5d706630190a118d803ffa | 20,027 |
def compute_t(i, automata_list, target_events):
"""
Compute alphabet needed for processing L{automata_list}[i-1] in the
sequential abstraction procedure.
@param i: Number of the automaton in the L{automata_list}
@type i: C{int} in range(1, len(automata_list)+1)
@param automata_list: List of a... | 88fc64aaf917d23a29e9400cf29705e6b20665c3 | 20,028 |
def cal_min_sim(y):
"""Calculate the minimal value given multiple trajectories from different isomers"""
y = y.copy()
if len(y.shape) == 2: # add one more dimension if only two provided
y = y[np.newaxis, :]
n_sim, nT, nP = y.shape
y_min_sim = np.min(y, axis = 0)
return y_min_... | efbee1f3d8a88ac447609019a431d3ac6469f2cf | 20,029 |
async def create_rsa_key(
hub,
ctx,
name,
vault_url,
key_ops=None,
enabled=None,
expires_on=None,
not_before=None,
tags=None,
**kwargs,
):
"""
.. versionadded:: 2.0.0
Create a new RSA key or, if name is already in use, create a new version of the key. Requires the ke... | f22a520bc82bed0447440a80639a1f6ef575e718 | 20,030 |
import re
def _parse_size_string(size):
"""
Parse a capacity string.
Takes a string representing a capacity and returns the size in bytes, as an
integer. Accepts strings such as "5", "5B", "5g", "5GB", " 5 GiB ", etc.
Case insensitive. See `man virsh` for more details.
:param size: The size... | 6ad10ba10380eaa7a8acd6bbeb52b537fdcf3864 | 20,031 |
def get_exp_lr(base_lr, xs, power=4e-10):
"""Get learning rates for each step."""
ys = []
for x in xs:
ys.append(base_lr / np.exp(power*x**2))
return ys | 58486de08742d2467a4178d1ac0544c0d1f2055c | 20,033 |
import time
def dashboard():
""" Main dashboard function. Run stats across all accounts. """
start = time.time()
instance_count = 0
user_count = 0
sg_count = 0
elb_count = 0
aws_accounts = AwsAccounts()
accounts = aws_accounts.all()
pool = Pool(10)
results = pool.map(get_acco... | e5138d8527ecb5712db6205757432d31efde8f2b | 20,034 |
def strip_new_line(str_json):
"""
Strip \n new line
:param str_json: string
:return: string
"""
str_json = str_json.replace('\n', '') # kill new line breaks caused by triple quoted raw strings
return str_json | f2faaa80dca000586a32a37cdf3dff793c0a2d9b | 20,035 |
def fromAtoB(x1, y1, x2, y2, color='k', connectionstyle="arc3,rad=-0.4",
shrinkA=10, shrinkB=10, arrowstyle="fancy", ax=None):
"""
Draws an arrow from point A=(x1,y1) to point B=(x2,y2) on the (optional)
axis ``ax``.
.. note::
See matplotlib documentation.
"""
if ax is No... | a7b14ae62d26f203da0fb3f26c7aa7652fb9a345 | 20,036 |
import torch
def exp(input_):
"""Wrapper of `torch.exp`.
Parameters
----------
input_ : DTensor
Input dense tensor.
"""
return torch.exp(input_._data) | 01449c87486a7145b26d313de7254cb784d94a7b | 20,037 |
from datetime import datetime
def get_lat_lon(fp, fs=FS):
"""
get lat lon values for concat dataset
"""
logger.info(f"{str(datetime.datetime.now())} : Retrieving lat lon")
with xr.open_dataset(fs.open(fp)) as ds:
lat, lon = ds["latitude"].values, ds["longitude"].values
logger.info(f"{s... | a99614463121edb99c290ddea8d6bb7b298498f1 | 20,039 |
def one_hot_encode(vec, vals=10):
"""
For use to one-hot encode the 10- possible labels
"""
n = len(vec)
out = np.zeros((n, vals))
out[range(n), vec] = 1
return out | 079c4c505464659248631b3e5c3d1345557d922b | 20,040 |
def COUNTA(*args) -> Function:
"""
Returns a count of the number of values in a dataset.
Learn more: https//support.google.com/docs/answer/3093991
"""
return Function("COUNTA", args) | c8e876e80a0414eab915b6eb0efc9917b12edb19 | 20,041 |
import json
def decode_url_json_string(json_string):
"""
Load a string representing serialised json into
:param json_string:
:return:
"""
strings = json.loads(h.unescape(json_string),
object_pairs_hook=parse_json_pairs)
return strings | 6f616e5e6037024ebdab6e63aa90c13c60fca40c | 20,042 |
def svn_wc_merge2(*args):
"""
svn_wc_merge2(enum svn_wc_merge_outcome_t merge_outcome, char left,
char right, char merge_target, svn_wc_adm_access_t adm_access,
char left_label, char right_label,
char target_label, svn_boolean_t dry_run,
char diff3_cmd, apr_array_header_t merge... | 271e596810b7ee604532f34612e349ae30b108c5 | 20,044 |
import torch
def test_finetuning_callback_warning(tmpdir):
"""Test finetuning callbacks works as expected."""
seed_everything(42)
class FinetuningBoringModel(BoringModel):
def __init__(self):
super().__init__()
self.backbone = nn.Linear(32, 2, bias=False)
self... | c7bec2c256ece471b0f3d9f56a74dcb2c7ad186a | 20,045 |
from contextlib import suppress
def idempotent(function):
"""Shallows 304 errors, making actions repeatable."""
@wraps(function)
def decorator(*args, **kwargs):
with suppress(GitlabCreateError):
return function(*args, **kwargs)
return decorator | 4012ce715a8344a7a9eb7e27a7d96f0e3b9c8f6d | 20,046 |
def newline_formatter(func):
"""
Wrap a formatter function so a newline is appended if needed to the output
"""
def __wrapped_func(*args, **kwargs):
"""
Wrapper function that appends a newline to result of original function
"""
result = func(*args, **kwargs)
# Th... | 71af6af25aa93e0e8f80958b5caf5266f598c878 | 20,047 |
from typing import List
from typing import Tuple
def sigma_splitter(float_arr: List[float]) -> Tuple[List[List[int]], List[List[int]], List[List[int]]]:
"""
separates the NCOF score into the 1-3 sigma outliers for the NCOF input
@param float_arr: List[float]
@return: inliers , pos_outliers , neg_outli... | 824c3d11ffa1fb81763cdf815de3e37a7b8aa335 | 20,048 |
import torch
def cosine_beta_schedule(timesteps, s = 0.008, thres = 0.999):
"""
cosine schedule
as proposed in https://openreview.net/forum?id=-NEXDKk8gZ
"""
steps = timesteps + 1
x = torch.linspace(0, timesteps, steps, dtype = torch.float64)
alphas_cumprod = torch.cos(((x / timesteps) + s... | a1969deafdb282955a53b15978a055d15f0678a0 | 20,049 |
from typing import Callable
from re import T
from typing import Optional
from typing import Dict
from typing import Any
import yaml
def construct_from_yaml(
constructor: Callable[..., T],
yaml_dict: Optional[Dict[str, Any]] = None,
) -> T:
"""Build ``constructor`` from ``yaml_dict``
Args:
con... | 5cb92f8af0b0ab49069e88b74b7b10fdf2cc797d | 20,050 |
import tokenize
def text_to_document(text, language="en"):
""" Returns string text as list of Sentences """
splitter = _sentence_splitters[language]
utext = unicode(text, 'utf-8') if isinstance(text, str) else text
sentences = splitter.tokenize(utext)
return [tokenize(text, language) for text in s... | 2f196c51a979a2f9a849ebd6f89203c907406789 | 20,051 |
def get_top_playlists_route(type):
"""
An endpoint to retrieve the "top" of a certain demographic of playlists or albums.
This endpoint is useful in generating views like:
- Top playlists
- Top Albums
- Top playlists of a certain mood
- Top playlists of a certain mood from pe... | 2012e95073291669a6bb881afa853961922160c5 | 20,052 |
import urllib
def parse_host(incomplete_uri: str) -> str:
"""Get netloc/host from incomplete uri."""
# without // it is interpreted as relative
return urllib.parse.urlparse(f"//{incomplete_uri}").netloc | 099284e970756055f2616d484014db210cb04a76 | 20,053 |
import functools
import operator
def inner_by_delta(vec1: Vec, vec2: Vec):
"""Compute the inner product of two vectors by delta.
The two vectors are assumed to be from the same base and have the same
number of indices, or ValueError will be raised.
"""
indices1 = vec1.indices
indices2 = vec2... | 660f7d73e6d73cd4dfdf73d532e90e5a29f38481 | 20,054 |
def remove_mapping(rxn_smi: str, keep_reagents: bool = False) -> str:
"""
Removes all atom mapping from the reaction SMILES string
Parameters
----------
rxn_smi : str
The reaction SMILES string whose atom mapping is to be removed
keep_reagents : bool (Default = False)
whether to... | fb16648fee136359bc8ef96684824319221a3359 | 20,055 |
def generate_bot_master_get_results_message(message_id, receiving_host, receiving_port):
"""
:rtype : fortrace.net.proto.genericmessage_pb2.GenericMessage
:type receiving_port: int
:type receiving_host: str
:type message_id: long
:param message_id: the id of this message
:param receiving_ho... | 4c46a9c1bf69022092b7df4b48e302a87d2d7b90 | 20,056 |
import fileinput
from datetime import datetime
def readLogData(username,level,root='.'):
"""
Extracts key events from a log
"""
filename = getFilename(username,level,extension='log',root=root)
log = []
start = None
for line in fileinput.input(filename):
elements = line.split()
... | f94c3e715d021b206ef46766fdc0e6051784615e | 20,057 |
def get_type1(pkmn):
"""get_type1(pkmn) returns Type 1 of the Pokémon with the name 'pkmn' """
return __pokemon__[pkmn]['Type 1'] | c4290f695160f2f1962f1dca158359e250a4803a | 20,058 |
def load_json(fname):
"""
Load a JSON file containing a riptide object (or list/dict/composition thereof)
"""
with open(fname, 'r') as f:
return from_json(f.read()) | 93f771ae0ba31974b564e1520412fab5719b08be | 20,059 |
def get_stock_data(symbol, start_date, end_date, source="phisix", format="c"):
"""Returns pricing data for a specified stock and source.
Parameters
----------
symbol : str
Symbol of the stock in the PSE or Yahoo.
You can refer to these links:
PHISIX: https://www.pesobility.com/... | 94171c950198f0975c4232f232ec9be93bd3f2a3 | 20,060 |
def extract_borderless(result) -> list:
"""
extracts borderless masks from result
Args:
result:
Returns: a list of the borderless tables. Each array describes a borderless table bounding box.
the two coordinates in the array are the top right and bottom left coordinates of the bounding box.
... | e81844a5deb553bf8d7380ebec8a76fec219ee72 | 20,061 |
import itertools
def get_frequent_length_k_itemsets(transactions, min_support=0.2, k=1, frequent_sub_itemsets=None):
"""Returns all the length-k itemsets, from the transactions, that satisfy
min_support.
Parameters
----------
transactions : list of list
min_support : float, optional
F... | a293b48c62ebbafda7fa89abb6792f04c4ff1371 | 20,062 |
import types
def create_news_markup():
"""
Метод, создающий клавиатуру для новостей кино
:return: telebot.types.ReplyKeyboardMarkup
"""
news_markup = types.ReplyKeyboardMarkup()
news_markup.row(Commands.GET_BACK_COMMAND)
return news_markup | 654ec227d07fe914c795931f48ce634e0a4a6fc3 | 20,063 |
def _generate_description_from(command, name, description):
"""
Generates description from the command and it's optionally given description. If both `description` and
`command.__doc__` is missing, defaults to `name`.
Parameters
----------
command : `None` or `callable`
The command's fu... | e2f782f7e74635b3c50273b36b837e48d7999f4f | 20,065 |
def uses_na_format(station: str) -> bool:
"""
Returns True if the station uses the North American format,
False if the International format
"""
if station[0] in NA_REGIONS:
return True
elif station[0] in IN_REGIONS:
return False
elif station[:2] in M_NA_REGIONS:
retur... | b3158a85ae9b1ba45ebeb3de27491650d7f4c4c8 | 20,066 |
def openFile(prompt,key = "r",defaulttype = None, defaultname = None):
"""
Method to open a text file with sanity checking, optional defaults and reprompt on failure.
This is the main used callable function to open files.
:param prompt: the prompt to be displayed
:type prompt: str
:param key: ... | e9985872c0beb15eaa5bafa543eefb01f5fd8413 | 20,067 |
def dsphere(n=100, d=2, r=1, noise=None, ambient=None):
"""
Sample `n` data points on a d-sphere.
Parameters
-----------
n : int
Number of data points in shape.
r : float
Radius of sphere.
ambient : int, default=None
Embed the sphere into a space with ambient dimensi... | 8957a328c2025fbdb3741b004f2fb3825f19e4d9 | 20,068 |
def topological_sort_by_down(start_nodes=None, all_nodes=None):
"""
Topological sort method by down stream direction.
'start_nodes' and 'all_nodes' only one needs to be given.
Args:
start_nodes (list[NodeGraphQt.BaseNode]):
(Optional) the start update nodes of the graph.
all... | 22a36d4f8225ae2978459796f115059e2bbb8d62 | 20,069 |
from datetime import datetime
def parseYear(year, patterns):
""""This function returns a string representing a year based on the input and a list of possible patterns.
>>> parseYear('2021', ['%Y'])
'2021'
>>> parseYear('2021', ['(%Y)', '%Y'])
'2021'
>>> parseYear('(2021)', ['%Y', '(%Y)'])
'2021'
"""
... | 743378c868a2439f721e428f676092f9da0a2e7a | 20,072 |
def fit_oxy_nii(target_row,
velocity_column = None,
data_column = None,
IP = "center",
**kwargs):
"""
Fits oxygen bright line to spectrum for future subtraction
Parameters
----------
target_row: `SkySurvey` row
... | 1251bf102abaec690fc97117c2409e2f5e89f35b | 20,073 |
def image_reproject_from_healpix_to_file(source_image_hdu, target_image_hdu_header, filepath=None):
""" reproject from healpix image to normal wcs image
:param source_image_hdu: the HDU object of source image (healpix)
:param target_image_hdu_header: the HDU object of target image (wcs)
:param f... | b261663f18ccdf095c0b6e20c02d2ebc0282b713 | 20,075 |
def flux_reddening_wl(wl, flux_wl, ebv, Rv=None, law=LawFitz, mode=ReddeningLaw.MW):
"""
Apply extinction curves to flux(lambda) values
:param wl: [A]
:param flux_wl: [ergs s^-1 cm^-2 A^-1]
:param ebv: E(B-V)
:param Rv: R_V
:param law: the variant of extinction curves
:param mode: type... | 668d1824d988989a3411c798614aeb1bc6a63cb6 | 20,076 |
import string
def genRandomString( size: int = 5, upper: bool = False, lower: bool = False, mix: bool = False, numbers: bool = True) -> str:
"""
Generates a random string of the given size and content.
:param numbers: Numbers are included in the string. Default True.
:param upper: Uppercase only. Default False.
... | a63a2be76675bbb42da2a4cd0ae20db8be723ee3 | 20,077 |
def process_whole_image(model, images, num_crops=4, receptive_field=61, padding=None):
"""Slice images into num_crops * num_crops pieces, and use the model to
process each small image.
Args:
model: model that will process each small image
images: numpy array that is too big for model.predic... | 3e9ab9485662f9bae40217c60837d8d8cba020d3 | 20,078 |
def compute_covariance(model, xy, XY=None):
"""Returns the covariance matrix for a given set of data"""
if xy.size == 1:
dist = 0
elif XY is None:
dist = squareform(pdist(xy))
else:
dist = cdist(xy, XY)
C = model(dist)
return C | b898ef57155898c75797033e057c6cab4e2487bc | 20,079 |
import sqlite3
def prob1(cur: sqlite3.Cursor) -> pd.DataFrame:
"""List how many stops are in the database.
Parameters
----------
cur (sqlite3.Cursor) : The cursor for the database we're accessing.
Returns
-------
(pd.DataFrame) : Table with the solution.
"""
cur.execu... | ed6a3a316e89177a6224fd7513ca5c098940e312 | 20,080 |
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