content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
import itertools
import functools
import copy
def render_with_cache(seq_collection, fuzzing_pool, checkers, generation, global_lock, seq_rendering_cache):
"""Render sequences one by one, caching valid prefixes and re-using previously valid renderings if found.
For brevity we skip arguments and return types... | 52284dfada9b4dfe815fa93f93f5539e684a5b54 | 63,900 |
def _get_app_module_with_cache(cc_biz_id, username):
"""获取业务下的模块列表，按名字排序"""
cc_result = bk.cc.get_modules_by_property(app_id=cc_biz_id)
if not cc_result.get('result', False):
raise APIError(cc_result.get('message', 'call component sdk error'))
cc_data = cc_result['data']
data = sorted(cc_dat... | b74d5d2ce89eeb2288d8dd080079e89d22646036 | 63,901 |
def normalizeData(trainIn, trainOut, valIn, valOut):
"""Normalizes the training and validation data to improve network training.
The output data is normalized by taking its log and then scaling according
to its normal distribution fit. The input data is normalized by scaling
it down to [-1,1] using... | 51bf954ec77abc8e792602aed3c2fd6e16c1dab4 | 63,902 |
def get_config_dict(robustness_tests, base_config_dict):
"""
Combines robustness_test and train_config_dict into a single config_dict.
Args:
robustness_tests (dict): robustness test config dict
base_config_dict (dict): train/data/eval/model/hyperparam config dict
Returns:
confi... | 593a2307849fa27b895f18d8b9eacd679eeab04a | 63,903 |
import typing
from typing import Type
def sequence_type(typeinfo: typing.Type[typing.List]) -> Type:
"""Return the type of a sequence, e.g. typing.List"""
try:
return typeinfo.__args__[0] # type: ignore
except AttributeError: # Python 3.5.0
return typeinfo.__parameters__[0] | 2d53197bce19f80aa1b33df97d836568def72cfc | 63,904 |
def distance_vector_between(point_1, point_2):
"""Compute and return the vector distance between two points."""
return [point_2[0] - point_1[0], point_2[1] - point_1[1]] | 397d3191cc4c214bb0d4b474db2efe7c63e8a10f | 63,905 |
import torch
def prepare_model():
"""Main training program."""
#print('Generate Samples')
# Disable CuDNN.
torch.backends.cudnn.enabled = False
# Timer.
timers = Timers()
# Arguments.
args = set_args()
#print(args)
args.mem_length = args.seq_length + args.mem_length - 1
... | 24d2f0913165f2ed2ef5c30826a08ab6a0560d70 | 63,906 |
def htmlReadFd(fd, URL, encoding, options):
"""parse an XML from a file descriptor and build a tree. """
ret = libxml2mod.htmlReadFd(fd, URL, encoding, options)
if ret is None:raise treeError('htmlReadFd() failed')
return xmlDoc(_obj=ret) | c14fd1aacc6b2d64da04a669dee505ad42b8c27d | 63,907 |
def execute_get_credentials_with_varying_input(tmp_path, monkeypatch):
"""First, reset global variable of Ahjo's credential_handler module.
If this is not done, tests will affect one another.
Second, create username/password files with given content and store
file paths to list created_records.
... | 2dbb84fbd2cbd3a59c08a7898b02a6065faaa9e5 | 63,908 |
def saveableMenu(cls: type) -> type:
"""A decorator registering a ReactionMenu subclass as saveable.
Once applied, instances of your class will automatically save their toDict representation to SQL on creation,
and the instance will be reconstructed on bot restart with your provided fromDict implementation.... | 919c5ba9e1ffa23b10e0b26a90c2e1d38a3048e0 | 63,909 |
import os
import shutil
def copy(src: str, dst: str, clobber: bool = True) -> str:
"""Copy file from source to destination
:param src: source path
:param dst: destination path
:param clobber: Should we overwrite (defaults to `True`)
:raises ChoreSkippedException: If there is missing inputs.
:... | 7a601bf2d614286a5f9c86470a27e56c35d0676c | 63,910 |
import torch
def top_p_filter(logits: TensorType[..., "vocab"], threshold: float = 0.9):
"""
Nucleus sampling
"""
sorted_logits, sorted_indices = torch.sort(logits, descending=True)
cum_probs = torch.cumsum(F.softmax(sorted_logits, dim=-1), dim=-1)
sorted_indices_to_remove = cum_probs > (1 - ... | 6d3318ee58d64f3f502627146bb168253f2e69e0 | 63,911 |
def get_mod_name(part_family_name):
"""Get the module name for full part.
Args:
part_family_name (str): A key in the RM_ALL_PART_FAMILY_NAMES.
Returns:
str: A value from RM_ALL_PART_FAMILY_NAMES.
"""
try:
mod_name = _RM_PART_FAMILY_MAP[part_family_name]
except KeyError:... | 050b0248de2bb24ae5b64f627c22ad7cbd93af58 | 63,912 |
def perm_add_replicas(issuer, kwargs):
"""
Checks if an account can add replicas.
:param issuer: Account identifier which issues the command.
:param kwargs: List of arguments for the action.
:returns: True if account is allowed, otherwise False
"""
rse_id = str(kwargs.get('rse_id', ''))
... | fcc9c0b5687aca7c16ae3ac3a1d0c69056f3e1e0 | 63,913 |
import functools
def admin_required(f):
"""Decorator to require admin for a method."""
@functools.wraps(f)
def wrapper(*args, **kwargs):
try:
if not flask.g.admin:
app.logger.error(
'Attempt by non-admin to access '
'@adm... | dfd6a5777cd0ed2a3d0de3ab4fb7458ade4714bc | 63,914 |
def print_consensus(genomes):
"""
print consensensus sequences for each genome and sample
"""
# generate consensus sequences
cons = {} # cons[genome][sample][contig] = consensus
for genome, contigs in list(genomes.items()):
cons[genome] = {}
for contig, samples in list(contigs.it... | 0b49c5709af71f017e9114ac403ff86b41fe0478 | 63,915 |
from typing import Set
import types
def get_categorical_features(schema: schema_pb2.Schema
) -> Set[types.FeaturePath]:
"""Gets the set containing the names of all categorical features.
Args:
schema: The schema for the data.
Returns:
A set containing the names of all catego... | e143b36a0016968c93cbf831fab8850508380764 | 63,916 |
def calc_language_vectors_URIEL(features_sets):
"""Returns the combined URIEL language vectors for given feature sets.
Args:
features_set (list of str): The name of the feature sets.
Returns:
list of (list of float): The language-property matrix. Languages are indices, properties are columns.
list of str: T... | ceeeab15342d61ca0f8a684db77b6f348cef84e7 | 63,917 |
def get_dataset(
name, num_samples_per_class=None, class_ids=None, load_fn=tfds.load,
data_dir=None):
"""Get the subset of the MNIST dataset containing the selected digits.
Args:
name: name of the dataset. Currently support mnist and cifar10.
num_samples_per_class: number of samples for each class.... | eb75bfb57c3963e341995b9a314dfaf46b01ea7d | 63,918 |
def true_score_variance(human_scores,
variance_errors_human=None):
"""
Compute variance of true scores for multiple raters.
Parameters
----------
human_scores : array-like of shape (n_samples, n_ratings)
Human ratings for each response.
variance_errors_human : f... | ff55300b7767662b194b62bc53306b5fc219b749 | 63,919 |
def fiabilite2(v1 : float, v2 : float, v3 : float
, epsilon : float) -> float:
""" ... cf. ci-dessus ...
"""
if egal_eps(v1, v2, epsilon):
if egal_eps(v1, v3, epsilon):
if egal_eps(v2, v3, epsilon):
return 1
else:
return 2/3
... | 4567377c538c60229ea32875524e776f2e16a936 | 63,920 |
import math
def matrixToEuler(mat):
"""
code from 'http://www.euclideanspace.com/maths/geometry/rotations/conversions/'
notes : this conversion uses conventions as described on page:
'http://www.euclideanspace.com/maths/geometry/rotations/euler/index.htm'
Coordinate System: right hand
Positiv... | c79def074aec61023d7914319e7adafaaf42b5d3 | 63,921 |
def var_Y(y_vector):
"""
Args: no array
Output: variance as float
"""
m=y_vector.mean()
diff_v=0
for i in range(len(y_vector)):
diff_v+=(y_vector[i]-m)**2
res= diff_v /len(y_vector)
return(res) | 80847d75ffac23b43e75e1727caab910b7856dbc | 63,922 |
def m2Lambda_to_vMh2(m2, Lambda, C):
"""Function to numerically determine the physical Higgs VEV and mass
given the parameters of the Higgs potential."""
try:
v = (sqrt(2 * m2 / Lambda) + 3 * m2**(3 / 2) /
(sqrt(2) * Lambda**(5 / 2)) * C['phi'])
except ValueError:
v = 0
... | f999c82b4a74c0d11e6735870a33c9add9fb1ee7 | 63,923 |
def StoreEnclosedBoundaries(Spaces, WallInfo, OpeningsDict):
"""
Add the id's of included space boundaries to their related space boundaries
"""
for sp in Spaces:
for b in sp.Boundaries:
if b.RelatedBuildingElement in WallInfo.keys() and (len(b.GapsProfile)>0 or len(b.Profile)>4):
... | f75b2ac6a502d23a4622d83dabf53586feb0ec0e | 63,924 |
def cache_get_names(connection: 'Connection', query_id=None) -> 'APIResult':
"""
Gets existing cache names.
:param connection: connection to Ignite server,
:param query_id: (optional) a value generated by client and returned as-is
in response.query_id. When the parameter is omitted, a random value... | e1ba6bdd2e0fdda6aad304df1aaab73af3a7f0be | 63,925 |
def _show(app_id, version):
"""Show details of a Marathon application.
:param app_id: The id for the application
:type app_id: str
:param version: The version, either absolute (date-time) or relative
:type version: str
:returns: process return code
:rtype: int
"""
client = marathon... | 47779307b66c20aa4be5652f3b5ead9df051b679 | 63,926 |
def bootstrap_conf(runs, significance=0.01):
"""
THIS NEEDS TO BE UPDATED
Gets the bootstrap confidence interval of the distribution of mean return
per episode for a single hyperparameter setting.
Note that this function assumes that there are an equal number of episodes
for each run. This is... | 2a5229782ee96a6dc169cc06603fb1683ea9da50 | 63,927 |
import requests
import json
import time
def get_impress_entity_by_id(
impress_api_url: str, impress_type: str, impress_id: str, retries=0
):
"""
:param impress_api_url:
:param impress_type:
:param impress_id:
:param retries:
:return:
"""
api_call_url = "{}/{}/{}".format(impress_ap... | 8dae44bbba66d013dededb892ae186bc42999905 | 63,928 |
def are_coords_majority_overlap_in_read(c0, c1, min_overlap_ratio=0.5):
"""Return True if majority of two coords overlap with each other in
read coordinates.
"""
min_read_len = min(c0[READ_END]-c0[READ_START], c1[READ_END]-c1[READ_START]) # min read length
overlap = min(c0[READ_END], c1[READ_END]) -... | f2db92b1765c2d809798795f87100011237776bc | 63,929 |
def modify_expansion(tokens: Expansion, diff: Diff) -> Expansion:
"""
Modify tokens according to the diff: keep and strip regex from the ones in diff.included,
and remove the ones in diff.excluded.
For example,
match_tokens(['"hi"', 'x?', 'my name is', 'y?', 'z?'], Diff(['x?'], ['z?'])) returns
... | 87944ec8bbfdf5d1078a4d4dd2d53ec251c64d5b | 63,930 |
from typing import Optional
import math
def plot_ts_analysis(
df: pd.DataFrame,
y_col: str = None,
time_col: str = None,
nfft: int = 1024,
acf_n_lags: int = None,
pacf_n_lags: int = None,
alpha: float = 0.1,
show: bool = True,
title: str = None,
) -> Optional[BaseFigure]:
"""
... | 4e27442bf5dbf976e16ac02340888cefd04e04cd | 63,931 |
def split_names(data, names, fosa_types, drop):
"""Separates facility type prefix from facility name
inputs
data: data frame containing source data from IASO
names: column name to split
fosa_types: list of facility types
drop: list of prefixes indicating row should be dropped fro... | 4842756abd8b332d22548382f56a7c03d43609c2 | 63,932 |
from typing import Iterator
def bind(app: Flask = None, device: str = None, batch_size: int = None,
model_file: str = None, formatter_class: Formatter = None,
tokenizer: Tokenizer = None, allow_origin: str = None,
route_path: str= "/", headers=None) -> Flask:
""" Binds default value
... | 2f93d6c38a449824837ba22044d3d659086668fe | 63,933 |
def populate_workflow_request_body(data):
"""
Populate request body according to the API specification
:param data: item data from manifest files
:return: populated request
:rtype: dict
"""
request = {
"runId": "",
"executionContext": {
"a... | 3d043d5645dd15a78bac32de7a676ec56cb4f169 | 63,934 |
def recall_at_k(ranks, k):
"""Compute recall at K
args:
ranks (list): list of rankings of positive pairs
k (int): k
"""
return 100.0 * len(np.where(ranks < k)[0]) / len(ranks) | b4b780933ab578e2642575038413f31c9f6a4328 | 63,935 |
def TVD(Sw,N, mio, miw, j, porosity, deltt, deltx, delty):
"""This simulator is different from the previous 'First_TVD' because the is
a 'reverse copy' of all the math, this means that, while the for makes the
simulator advance from 0 to N, there are the same math doing from N to 0,
using the opos... | 4b5b94bdba8ef6bee28e183b0585742331d18d1d | 63,936 |
def gsl_finite(*args, **kwargs):
"""gsl_finite(double const x) -> int"""
return _gslwrap.gsl_finite(*args, **kwargs) | 5eab8a6edd8048e9d990d88c327965c9f8a4710c | 63,937 |
from Levenshtein import distance
def distance(str_one, str_two):
"""
Return the absolute levenshtein distance of two strings, or None if
the Levenshtein package isn't available.
"""
try:
return distance(str_one, str_two)
except ImportError:
return None | 1cadb1200eb3e2683e45d2a40ccfff9cbe609bfc | 63,938 |
import os
def dirtests(d):
"""Finds all of the test files in a directory."""
files = os.listdir(d)
filenames = []
for file in files:
if not file.endswith('.py'):
continue
if TESTNAME_RE.match(file) is None:
continue
filenames.append(file[:-3])
return... | 47df1a354900201e08955a2aedf93984878d1128 | 63,939 |
def kolsmi(dist, fit_result, data):
"""Perform a Kolmogorow-Smirnow-Test for goodness of fit.
This tests the H0 hypothesis, if data is a sample of dist
Args:
dist: A mle.Distribution instance
fit_result: The solution dict, returned by the Distribution.fit method
data: ... | 3d1dedab1d3d8222777c4dab4b22ea483efe9e1d | 63,940 |
def _GetModelDeploymentResourceType(model_ref, client):
"""Gets the deployment resource type of a model.
Each model resource belongs to exactly one supported deployment resource type.
The value is the first item in the list, the length of which must be one.
Args:
model_ref: a model resource object.
cl... | cff2c3ff693e7756a0cae44682ba34aac2c4422e | 63,941 |
def pull_package(title, version, url, json=False):
"""
:param title:
:param version:
:param url:
:param json:
:return:
"""
return _pull(''.join([url, '(Id=\'', title, '\',Version=\'', version, '\')']), json=json) | d548c88ec2bdde704b8c675f02ccc00373c6f0d8 | 63,942 |
import sqlite3
import numpy
def get_random_song():
"""
returns a random completed song
"""
with sqlite3.connect(past_games_db) as c:
game_ids = c.execute('''SELECT rowid FROM games''').fetchall()
random_id = game_ids[numpy.random.randint(0, len(game_ids))][0]
song = c.execut... | 1b0f7feb92949de6f6aa111bf9b2a018cc056f56 | 63,943 |
def _NamesNotIn(names, mapping):
"""Returns a list of the values in |names| that are not in |mapping|."""
return [name for name in names if name not in mapping] | ec91dcb6e29b0a9c1aa66f04e1b61d715ded3266 | 63,944 |
def get_user(user_id: int) -> JSONType:
"""
GET /users/{user_id}
:raises: backend.errors.UnauthorizedError (HTTP error 401)
backend.errors.ForbiddenError (HTTP error 403)
backend.errors.NotFoundError (HTTP error 404)
"""
result = user_service.get_user_by_id(user_id)
... | dd3490a15c719fc7fc25bbcd7901e097e7a87f4b | 63,945 |
from typing import Sequence
from typing import Any
import copy
def baseline_replacement_by_patch(arr: np.array, patch_slice: Sequence,
perturb_baseline: Any, **kwargs) -> np.array:
"""Replace a single patch in an array by given baseline."""
if len(patch_slice) != arr.ndim:
... | fa64a5e12b36199d8048289f7ab18665355ecb47 | 63,946 |
import re
def natural_sort(l):
"""
Takes in a list of strings and returns the list sorted in "natural" order.
(e.g. [test1, test10, test11, test2, test20] -> [test1, test2, test10, test11, test20])
Source: https://stackoverflow.com/questions/4836710/is-there-a-built-in-function-for-string-natural-sor... | 7db22ee5f75703f52b25eecd888847eb35590e65 | 63,947 |
def dict_indexable(*iterables):
"""Make arrays indexable for cross-validation.
Checks consistent length, passes through None, and ensures that everything
can be indexed by converting sparse matrices to csr and converting
non-interable objects to arrays.
Parameters
----------
*iterables : l... | 739dba44b4cfcb5c65c296633c7d35f55d37e9f2 | 63,948 |
def get_extensions(list_of_files):
"""Function take a list of Path file objects and adds the file extenstion/suffix to a set. The set of extensions
is returned"""
extensions = set()
for file in list_of_files:
if len(file.suffix) < 6:
extensions.add((file.suffix).lstrip('.'))
ret... | 654b893c148535a99dd112dc3711ea9005ae96b7 | 63,949 |
def get_object(sts_creds, req_header):
"""
Retrieve objects from NoSQL (DynamoDB) based on
{tenant_id, user_id} as partition key
:param sts_creds:
:param req_header:
:return: 200 - Success
400 - Bad Request, 401 - Unauthorized
500 - Error, 503 - Unav... | d063e0d24a99f610085ba759a5b583762edac5ae | 63,950 |
from typing import Dict
from typing import List
from typing import Tuple
import binascii
def extract_ct_body(params: Dict[str, List[str]]) -> Tuple[str, bytes]:
""" Extract the content type and body from a list of get parameters.
:param params: A dictionary of key/value of parameters as provided by
ur... | b377ddd894c7b24eb0ba8b81cc5e40ec70bf71bf | 63,951 |
def sample_nu_free_free(numba_plasma, shell):
"""
Attributes
----------
nu_ff_sampler : float
Frequency of the free-free emission process
"""
T = numba_plasma.t_electrons[shell]
zrand = np.random.random()
return -K_B * T / H * np.log(zrand) | f09b0add007937f4ccc8ce5c6fb5506246aeb23d | 63,952 |
def softmax_func(y):
"""Numerically stable softmax."""
b = y - np.max(y, axis=1, keepdims=True)
expb = np.exp(b)
softmax = expb / np.sum(expb, axis=1, keepdims=True)
return softmax | ef0b9d528129a9e524b9046fee9b7f6a8fccccfe | 63,953 |
def GetASTSummary(ast):
""" Summarizes an AST field
Flags:
P - AST_PREEMPT
Q - AST_QUANTUM
U - AST_URGENT
H - AST_HANDOFF
Y - AST_YIELD
A - AST_APC
L - AST_LEDGER
B - AST_BSD
K - AST_KPERF
M - AST_MACF
C - AST_CHUD
... | 8438255d9fea96c6051da5cbec57bef6949e49d6 | 63,954 |
from typing import Any
def parse_program(tokens: list[Token]) -> list[NodeBase] | None:
"""Return a parse tree from list of tokens"""
_parser_check()
if not tokens:
return None
nodes: list[Any] = []
index: int = 0
while index < len(tokens):
node, j = _parse_statement(tokens[ind... | 1384a55d7e66d492702c8d6872eb71f3f3af0357 | 63,955 |
from typing import Tuple
from typing import Iterator
def test_run_hill_climbing():
"""Tests for run_hill_climbing()."""
S = Tuple[int, int] # grid (row, col)
A = str # up, down, left, right
def _grid_successor_fn(state: S) -> Iterator[Tuple[A, S, float]]:
arrival_costs = np.array([
... | 486c655f166dda641ac514caa8b1a989abbd2613 | 63,956 |
def make_rankfile(offset,nnodes,npn,d,logger=None):
"""
Create rankfile, which is required in Fujitsu FX100 when plural jobs are
to be running in one submission, into the directory specified by `d`.
The rankfile should be like,
::
(0)
(0)
...
(1)
(1)
...
... | 5d590e8903230961928974bf76bb855f423d3edb | 63,957 |
def compute_biases(X, beta=0, inplace=False):
"""Row and column centering from csr matrices
Parameters
----------
X: csr-matrix (n_samples, n_features)
Data matrix
inplace: boolean,
Perform centering on the input matrix
Returns
---------
X: csr-matrix (n_samples, n_fea... | 29f500e913b8977e42a1a416a2baa93c82798ab8 | 63,958 |
def get_area(
info, lb, ub, min_val, max_val, goal, time, timeout, values, check
):
"""
Returns the solving area.
"""
if info == 'unk':
return timeout
if info in ['uns', 'unb']:
return time
scaled_vals = sorted([
(t, scale(v, lb, ub, min_val, max_val, goal)) for (t, v) in values.items()
])
... | 84dfd8d1e096fae14e56f6afec50042b37d3e93a | 63,959 |
from aiida.engine.utils import instantiate_process
from aiida.manage.manager import get_manager
from aiida.plugins import CalculationFactory
def generate_calc_job():
"""Fixture to construct a new `CalcJob` instance and call `prepare_for_submission` for testing `CalcJob` classes.
The fixture will return the `C... | fd649d3a9a254d707fde374d69a63667a3177837 | 63,960 |
def _theme_less(filename):
"""
Render LESS files.
"""
return static_app.less(filename, 'theme') | d4d875f575cb516bf1dbf9e229133a32e66c80bc | 63,961 |
def none_fn(*fs):
"""Constructs a predicate, which holds when none of fs hold."""
return compose(none, ijuxt(*fs)) | 2689a5078f46a4849bf8be41034c4bd5c31cb81f | 63,962 |
def pyobj_role(make_node, name, rawtext, text, lineno, inliner, options=None, content=None):
"""Include Python object value, rendering it to text using str.
Returns 2 part tuple containing list of nodes to insert into the
document and a list of system messages. Both are allowed to be
empty.
:para... | 8563cad97d62d11d0103a2d810eb974e0fd705bf | 63,963 |
from typing import Sequence
from typing import Mapping
import asyncio
import math
async def target_distribution(
assets: Sequence[trader.Asset],
value_asset: trader.Asset,
client: binance.BinanceClient,
period_ms: int,
window: binance.Interval,
beta: float,
) -> Mapping[trader.Asset, float]:
... | f5178de0dddb4d2d76e900a779e6d34c31bb454a | 63,964 |
def sharedreposource(repo):
"""Returns repository object for source repository of a shared repo.
If repo is not a shared repository, returns None.
"""
if repo.sharedpath == repo.path:
return None
if util.safehasattr(repo, b'srcrepo') and repo.srcrepo:
return repo.srcrepo
# the... | 756f035f8bbce249b3d4e593bf43819ca3b29961 | 63,965 |
def make_emailchange_token(user_id, email):
"""Generate an email change confirmation token.
"""
return _make_token({
'user': user_id,
'email': email,
}, 'dp.net.user.emailchange') | eedb89825fe4d78b0f8a8f5eeebce88816d314a7 | 63,966 |
def coin_list_to_symbol_list(
coin_list,
currency='USD',
strict=False
):
"""convert list of crypto currencies to HitBTC symbols
Args:
coin_list (str or :obj:`list`): list of coins to convert
currency (str, optional): currency to FOREX against
strict (bool, option... | b05e718c44be3af9c50e982b7e260f9234be8f85 | 63,967 |
def Compute10(geometry, area, firstMoments, secondMoments, productMoments, multiple=False):
"""
Computes the AreaMassProperties for a collection of geometric objects.
At present only Breps, Surfaces, Meshes and Planar Closed Curves are supported.
Args:
geometry (IEnumerable<GeometryBase>): Obje... | e10ead6338c105572cfcf043e317fc22bd9d2721 | 63,968 |
def __x_product_aux (property_sets, x_product_seen, x_product_used, feature_space):
""" Implementation of __x_product.
"""
result = []
if property_sets:
p = feature.split (property_sets [0])
else:
p = []
f = set.difference (get_grist (p), feature.free_features ())
... | 542d5b719aa0617d54d9699b65a9d3d188597160 | 63,969 |
def calc_baseflow(data, measurements_per_day=1):
"""
Calculates the 5 day baseflow after Gustard et al 1992, p. 21
See:
Report No. 108, Low flow estimation in the United Kingdom, . Gustard, A. Bullock December 1992 and J. M. Dixon"
http://nora.nerc.ac.uk/id/eprint/6050/1/IH_108.pdf
:par... | 5e22e0446afabb3d9df40fc4333433ef4cbe176f | 63,970 |
def pnorm(x: Tensor, p: int = 2) -> Tensor:
"""
Returns the p-norm of a vector.
:param x: Vector of shape [*, N, 1].
:param p: Order of the norm.
:return: P-Norm of the vector of shape [*, 1, 1].
"""
assert x.shape[-1] == 1
return x.pow(exponent=p).sum(dim=-2, keepdim=True) | f4f9172e59daada6077602cf9afe8dddc57fef44 | 63,971 |
def EventTypeFromTypeString(source_crds, type_string):
"""Returns the matching event type object given a list of source crds."""
for crd in source_crds:
for event_type in crd.event_types:
if type_string == event_type.type:
return event_type
raise exceptions.EventTypeNotFound(
'Unknown even... | 9b5b88601d49a438eb5164173e078dec310064e2 | 63,972 |
def params_verify(pars_str: str):
"""
装饰器-参数校验装饰器
旨在校验函数调用时pars_str中的各参数不可空，逗号分隔；
即使字典形的有默认入参的，调用时也不可省略
* 注:1：此类调用，仍不允许
# ---define-----
@params_verify("a")
def func_a(a, **kwargs)：
pass
# ---use-----
# *error
func_a('',a=1)
# *ok
... | 78faf501150b61d3b7ce165ba32da3174aa739dc | 63,973 |
def _include_fullname_in_traceback(f):
"""
`Doc.__repr__` should not raise, but it may raise if we screwed up.
Debugging this is a bit tricky, because, well, we can't repr() in the
traceback either then.
This decorator adds location information to the traceback, which helps
tracking down bugs.... | cb551726da58cbb71eeab0ff9a5d4afa46fbc8b0 | 63,974 |
def days_without_holidays(days_of_week, holiday_list):
"""
Given a tuple for the two lecture days of the week, returns a list
of valid dates, removing any that clash with holidays
"""
sanitized_holidays = []
for h in holiday_list:
sanitized_holidays.append(parse(h))
sanitized_dates... | 167fe1f2b6b0b737aec3e171f9a1787aedc93c24 | 63,975 |
def is_valid_part1(line):
"""
>>> is_valid_part1('1-3 a: abcde')
True
>>> is_valid_part1('1-3 b: cdefg')
False
>>> is_valid_part1('2-9 c: ccccccccc')
True
"""
first, second, letter, password = extract(line)
count_letter = password.count(letter)
return first <= count_letter <=... | 9a8f3f08f0152727545d213db4d97e162a540389 | 63,976 |
from typing import Optional
from typing import Dict
def update_code(
existing_code: Optional[str],
input_type_dict: Dict[str, DataType],
output_type_dict: Dict[str, DataType],
component_name: str,
description: str,
category: str,
) -> str:
"""Generate and update component code
Tries t... | 6ad7c31cfc9a2c0873a7f0e94d58c27d1323f4da | 63,977 |
def convert_list_array(A, opt: str):
"""Change from list to array or from array to list"""
# change to list
if opt == 'list':
if not isinstance(A, np.ndarray):
B = False
else:
B = A.tolist()
# change to array
elif opt == 'array':
if not isinstance(A, l... | de2ac7367220f25d4cf610a9586c01952670cab4 | 63,978 |
import torch
def collate_fn(batch):
"""单条样本格式：[CLS]篇章[SEP]答案[SEP]问题[SEP]
"""
batch_token_ids, batch_segment_ids = [], []
for (p, q, a) in batch:
p_token_ids, _ = tokenizer.encode(p, maxlen=max_p_len + 1)
a_token_ids, _ = tokenizer.encode(a, maxlen=max_a_len)
q_token_ids, _ = to... | ef609e70a2bd96c58c0f555c0cdc934c71b5660f | 63,979 |
def is_sequence_list(sequence_list):
"""Judge the sequence list is within the scope of alphabet and change the lowercase to capital."""
count = 0
new_sequence_list = []
for e in sequence_list:
e = e.upper()
count += 1
res = is_under_alphabet(e,ALPHABET)
if res is not Tru... | baee6d66559395289f96a8299eda2b5b334f38ff | 63,980 |
def phase_difference(Q):
"""get displacement from phase plane through neighbouring vector difference
find slope of the phase plane through
local difference of the pahse angles
Parameters
----------
Q : np.array, size=(m,n), dtype=complex
normalized cross spectrum
... | ea7a38ba554038c88fde5dbc8e38c1e6cdb09ee2 | 63,981 |
from typing import Tuple
def m_step(
rngs: PRNGSequence,
actor_optimizer: optim.Optimizer,
actor_target_params: FrozenDict,
eps_mu: float,
eps_sig: float,
mu_lagrange_optimizer: optim.Optimizer,
sig_lagrange_optimizer: optim.Optimizer,
max_action: float,
action_dim: int,
state:... | f033751cfaf1ba262c3c9fae98b4ae3cfc93639a | 63,982 |
from re import split
def do_set_varable(parser,token):
"""
Set new value in the context of template.
Usage:
{% set category_list category.categories.all %}
{% set dir_url "../" %}
{% set type_list "table" %}
{% include "category_list.html" %}
"""
bits = split(r'\s+... | 1c639dcdc3367312547732354631a35950aeb4dc | 63,983 |
def highlight_fires(filename):
"""
:param filename: str, allow users to input a file path
:return: SimpleImage, return an image (a SimpleImage object) back to users
"""
img = SimpleImage(filename)
for pixel in img:
avg = (pixel.red + pixel.green + pixel.blue) // 3
# When the red... | 54e1da580dc7df4df9c4ae13699bfc1303b14d6b | 63,984 |
def file_download(object_id, input_params={}, always_retry=True, **kwargs):
"""
Invokes the /file-xxxx/download API method.
For more info, see: https://documentation.dnanexus.com/developer/api/introduction-to-data-object-classes/files#api-method-file-xxxx-download
"""
return DXHTTPRequest('/%s/down... | c1250b2509f2e1b52f64fad5d4495bdf049ab3d1 | 63,985 |
def create_machine_learning_workflow(
name="CreateEdgeProbabilityMap", resample=True, plugin_args=None
):
"""
This function...
:param name:
:param resample:
:param plugin_args:
:return:
"""
workflow = Workflow(name)
input_spec = Node(
IdentityInterface(
[
... | 014ff3cffc0bef91d46d114cc5f7fd3a3a451dad | 63,986 |
from typing import Counter
def get_distance(url):
"""Given an URL, parse content and get
Cosine distance from given list of keywords
"""
text = get_text_from_url(url)
keywords = get_keywords_vectors(text)
k_counter = Counter(keywords)
st_k_counter = Counter(standard_keywords)
dis = cou... | 463a84a659314151535b33153260218f34dbaac0 | 63,987 |
from typing import Any
import ast
import inspect
def get_function_def(obj: Any) -> ast.FunctionDef:
"""Get FunctionDef object from living object.
This tries to parse original code for living object and returns
AST node for given *obj*.
"""
try:
source = inspect.getsource(obj)
if so... | 27b28b1f1b9fa1999b295bf524dcfa91d7a9ad58 | 63,988 |
import six
import ctypes
def sg_get_opcode_sa_name(cdb_byte0, service_action, peri_type):
"""
Command name given opcode (byte 0), service action and peripheral type.
If no service action give 0, if unknown peripheral type give 0 or -1 .
"""
if isinstance(cdb_byte0, six.integer_types):
cdb_... | e0d91a6df492c7c1d38a4b122d69bd83a1dfeaa7 | 63,989 |
from typing import List
from typing import Dict
def remove_video_before_db(examples: List[Dict]) -> List[Dict]:
"""Remove (heavy) "video" and "pictures" key from examples before saving to Prodigy database
Parameters
----------
examples : list of dict
Examples.
Returns
-------
examp... | 204375589e2bdc9e21cb9e1e71a3b8fb35cffd17 | 63,990 |
from pathlib import Path
def resolve(path):
"""Return the fully resolved path even if it does not exist.
Args:
path (Path): the Path object to resolve.
Returns:
Path: fully resolved ``Path`` object.
"""
try:
resolved = path.resolve()
except FileNotFoundError:
... | 4bedea0d2a542f4c019074d1d3f5ad461cb2f3d0 | 63,991 |
def org_rm_payload(org_default_payload):
"""Provide an organization payload for removing a member."""
rm_payload = org_default_payload
rm_payload["action"] = "member_removed"
return rm_payload | e976396f6fe5de1073f2235aac36b300f129867a | 63,992 |
def run_unary_modules_sample(modules, cur, hparams, k):
"""Run modules, sampling k."""
selection_weights = create_selection_weights(
"selection", ("softmax_topk", k),
shape=[len(modules)],
inv_t=100.0 * common_layers.inverse_exp_decay(
hparams.anneal_until, min_value=0.01))
all_res = [... | 9fe4da2c47992c7aa690a68ce7389410d77cee7d | 63,993 |
from typing import Optional
def wrap_middleware(
middleware: Optional[HttpMiddlewareCallback],
handler: HttpRequestCallback
) -> HttpRequestCallback:
"""Optionally wrap a handler with middleware"""
if middleware is None:
return handler
else:
return make_middleware_chain(mid... | 947cde83f30854d68039934757422cbc31ed4af0 | 63,994 |
def bin2complement2(binary):
"""Convert decimal into binary two's compliment
Args:
binary (str): [description]
Returns:
str: [description]
"""
binmap = map(lambda i: '1' if i == '0' else '0',
list(binary))
binstr = "".join(list(binmap))
intFromBin = int(bi... | 6614ce4bad3c9f15d5d9d25c1a695b8c0bd10158 | 63,995 |
def getAll( stmt ):
"""return all results from an SQL statement.
"""
return execute(stmt).fetchall() | 30b8cac8970f3087a81b94f941f5f7cdef65272f | 63,996 |
def catalog_r(cat):
"""Reverse a dict of a catalog into a dict."""
out = {}
for i,j in cat.items():
delveset(out,*i,value=j)
return out | b0a31e8c6481c3b837b9521e39bce4cb2cb641f7 | 63,997 |
def most_recent_verification(photo_id_verifications, sso_id_verifications, manual_id_verifications, most_recent_key):
"""
Return the most recent verification given querysets for photo, sso and manual verifications.
This function creates a map of the latest verification of all types and then returns the ear... | a1272eb45a03ed6c9627852692591deb5ba45c33 | 63,998 |
def get_sa_values(ground_motion, gm_periods, site_idx, bldg_t, sim_idx):
"""
Identifies the relevant Sa(T) for the building by interpolating from the response spectra for each scenario
Parameters
----------
ground_motion: numpy array
contains the simulated ground motions [n_ruptures, n_site... | be8a7b1ad4bf7b27fa2011ca34aa3b3bac150bc2 | 63,999 |
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