content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def doc_factory(global_config, **local_conf):
"""Return a developer portal instance configured for production."""
return make_app(blueprints.developer_portal, settings.ProductionConfig) | b747b0e5c848955b71b35f203282ca6b5487ab9b | 3,604,308 |
import ast
def make_grp_list_func(expr_str, field_names_dict, global_names_dict=None, filename=None):
"""
>>> func = make_grp_list_func('sum(a)/cnt()', {'a': 0})
>>> func([(1,), (2,), (3,)])
2
>>> func = make_grp_list_func('1+sum(a)+sum(b**2)', {'a':0, 'b':1})
>>> func([(10, 1), (20, 2)])
... | 7ce4fecd041db76f1ad8e4e3703a1f0e54b2a1cd | 3,604,309 |
from typing import Union
from datetime import datetime
def plot_cpi_timeseries(
start_date: Union[datetime, str, None] = None,
end_date: Union[datetime, str, None] = None,
**kwargs,
) -> plotly.graph_objects.Figure:
"""
Plots the Australian CPI vs time
Args:
start_date (Union[datetime... | 1b75b777fbb142c70f1ce16209a10d3f9e319962 | 3,604,310 |
from typing import List
import re
def find_economic_exprs(headline: str) -> List[str]:
"""
>>> find_economic_exprs('ユーロ高が原因で米株安')
['米株 安', 'ユーロ 高']
"""
indices = ['円',
'米株',
'外株',
'欧州株',
'米国株',
'中国株',
'上海株',... | bd9541774400139fbcf5b6d0c807ca6e3eb1ef39 | 3,604,311 |
import PIL
def scaleImage(image, width=None, height=None, mode="contain", quality=88, result=None, direction=None):
"""Scale the given image data to another size and return the result
as a string or optionally write in to the file-like `result` object.
The `image` parameter can either be the raw image dat... | faa1247192c8252dbcf3857172f184aa2b4cc20c | 3,604,312 |
def split_tokens(s,keywordDict):
"""
Returns list of syntax elements with quotes and spaces
stripped.
"""
result = []
result_append = result.append
s_len = len(s)
i = 0
while i<s_len:
start = i
while i<s_len and s[i]!="'":
if s[i]=="(" or s[i]==")":
if i>start:
result_a... | 9476337ea8db742e2a71f3caa04571db498d0064 | 3,604,313 |
def quat_distance(q1, q2, qsym):
"""
qsym coming from hexrd.crystallogray.PlaneData.getQSym() is C-contiguous
"""
q1 = np.ascontiguousarray(q1.flatten())
q2 = np.ascontiguousarray(q2.flatten())
return _transforms_CAPI.quat_distance(q1, q2, qsym) | d0dd769211289a68fb5bd438fb0fb21ebb804ad0 | 3,604,314 |
import numpy
def _merge_ascending(labels, parents, valid):
"""Remove the non-valid items by including them in their parents when
it exists.
Parameters
----------
labels:
labels of basins of watershed
parents:
parent local according to local maximum
valid:
measured ... | 7c0e0983067a774c95f0d0389fc4e1d1ba8b301b | 3,604,315 |
def get(
project: str,
changed_files: str,
threshold: Decimal = Decimal(0),
evg_api: EvergreenApi = Depends(get_evg),
db: MongoWrapper = Depends(get_db),
) -> TestMappingsResponse:
"""
Get a list of correlated test mappings for an input list of changed source files.
:param evg_api: The ... | d1bd657dff26bddc80568a50901ccd349c02e211 | 3,604,316 |
def admin_rated_contests():
"""
获取rated比赛列表
[
{
"ratedTime":"rated应用时间",
"contestID":"比赛ID",
"contestName":"比赛名",
"contestantCount":"参赛人数"
}
]
"""
user: User = User.by_id(session.get("uid"))
query = db.session.query(Contest.id... | 7d6ea07e070955b303b7190098bda230a1ea8e9f | 3,604,318 |
import ctypes
def createWaitableTimer(securityAttributes=None, manualReset=False, name=None):
"""Wrapper to the kernel32 CreateWaitableTimer function.
Consult https://msdn.microsoft.com/en-us/library/windows/desktop/ms682492.aspx for Microsoft's documentation.
In contrast with the original function, this wrapper a... | de38f3b6202ef8347bb5d3b54326fe1bc0481e00 | 3,604,319 |
def name():
"""
Returns the name of the token
"""
return NAME | 08a7c7e271c342f6ea7650ab6698b21c55f6521c | 3,604,320 |
def props_intersection(var_list, new_props_var, carry_vars=None):
"""Perform the intersection of the properties of a list of nodes/edges."""
if carry_vars is None:
carry_vars = set(var_list)
else:
carry_vars.update(var_list)
query = "\n//Perform the intersection of the properties of "
... | 0262cc395f58361d245b5e52778f57e8dc312c69 | 3,604,321 |
def process_links(hyperlinks, file_extensions=None):
"""
This function processes a list of hyperlinks retrieved from the webpage
and returns the list of links which refer to an image resource. The links
are filtered by matching the file extensions of basename in that link.
:param hyperlinks: List of... | 8c4b0de775be32beec782911b96fe0024f878ba2 | 3,604,322 |
def get_last_roulette() -> Roulette:
""" Returns either the last Roulette (by matching date) or None if there aren't any. """
return Roulette.objects.exclude(matchings_found_on=None).order_by("-matchings_found_on").first() | 356cb43f2eebe80b8d16dc3fcfd6a301e192c7f3 | 3,604,323 |
def _parse_workflow(wf):
"""Define tasks for a workflow in the config
"""
print(f"Defining Device Listeners for Workflow [{wf['workflow_name']}]")
schedule = []
for dlistener in wf["device_listeners"]:
_handle_device_listener(dlistener)
print(f"Defining Periodic Tasks for Workflow [{wf[... | 107a0808f9e72cf4e03eed48b50e80539600953a | 3,604,324 |
def available_comb_players_cards(arr_pl_one, arr_pl_two):
"""Removing intersections of player cards
Args:
arr_pl_one (np.array): an array of cards first player
arr_pl_two (np.array): an array of cards second player
Returns:
np.array: an array of players cards
Raises:
V... | b79fdd8ebc3633070cb8b19bf9e59b48a1de2f2a | 3,604,325 |
def oval_operator_or(result):
"""
The OR operator produces a true result if one or more arguments is true. If every argument
is false, the result of the OR is false. If one or more of the arguments are unknown and
if none of arguments are true, then the OR operator produces a result of unkno... | 796e51f5e9764cf2a9eb42ac11b5f299fddfb91f | 3,604,326 |
def interpolate_plane(ub, lb, location, ubpoints, lbpoints):
"""Interpolates a plane between two bounding planes at the given location."""
# If the number of points in the upper bound is higher, use it as the starting bound
# otherwise switch the upper and lower bounds
# if not (len(ubpoints) >= len(lb... | 3d4f0e3bd5b1ca4582518a854da718ebbaa23090 | 3,604,327 |
def _processor(args):
"""
Process a single feature.
Parameters
----------
args : dict
feat : dict
A GeoJSON feature to process.
src_crs : str or dict
The geometry's CRS.
buf_crs : str or dict
Apply buffer after reprojecting to this CRS.
... | 804398c5b7572607172c6bf6901328bc810cb768 | 3,604,328 |
def lines_to_config(ctx_keys, line, delete):
"""
Return the command as it would appear in frr.conf
"""
cmd = []
if line:
for (i, ctx_key) in enumerate(ctx_keys):
cmd.append(" " * i + ctx_key)
line = line.lstrip()
indent = len(ctx_keys) * " "
# There are... | ae9fcff2272a167790f2ea9554b3649f91c497af | 3,604,329 |
import torch
def masked_loss(lossfunc, logits, y, lens):
""" Computes the loss of the first `lens` items in the batches """
mask = torch.zeros_like(logits, dtype=torch.bool)
for i, l in enumerate(lens):
mask[i, :l, :] = 1
logits_masked = torch.masked_select(logits, mask)
y_masked = torch.m... | 235f5e51a643eac803c28c2ab62b74e730c3c14d | 3,604,330 |
import json
def create_alert_alarm():
""" Create an alert or an alarm; invoked when processing alerts and alarms from uframe.
Note: offset from start of unix epoch (jan 1, 1900 at midnight 00:00) to 00:00 1 Jan 1970 GMT, in secs = 2208988800
"""
try:
# Process request.data; verify required fie... | bd91dbb2dbd92470607252b2a773fd524dd2b5c3 | 3,604,332 |
def predict(data_path):
""" Generate predictions of the model for new data sored in `data_path`.
Print the predictions as an output.
:param data_path: Path of the new data as csv.
:return: None
"""
# Load data.
X, y = load_data(data_path)
# Load model
print('Loading model from: {}'.... | 0f395d2e4173bc0501f854d49880dc43b06c24ef | 3,604,335 |
def match_pair(tilea, tileb):
""" Check whether two tiles have match edges """
match_edges = [[0, 2], [2, 0], [1, 3], [3, 1]]
for variant in find_variants(tileb["tile"]):
if any([tilea["tile"][m[0]] == variant[m[1]] for m in match_edges]):
return True
return False | c1b7435cf07d3b2c251ecb658e9964fbc63061af | 3,604,336 |
def strings2remove_from_units(features2remove=default_features, other_strings2remove=['eenh', 'nvt']):
"""Generate a list of unwantes strings that are somtimes combined with the units.
The function generates a list of strings that needs to be removed from the original units
before performing named entity re... | d928ed528cc8071c7c46af403eea094270da7c30 | 3,604,337 |
def int_or_none(x):
"""
A helper to allow filtering by an integer value or None.
"""
if x.lower() in ("null", "none", ""):
return None
return int(x) | f7a99fd637b5f5e2f4519034b36d03128279726c | 3,604,338 |
def calculate() -> str:
"""this executes the equation"""
global equation, syntax_flag
syntax_flag = 0
if not equation:
return "0" #when input is empty, it equals to zero
try:
if syntax_flag:
return "Syntax error"
else:
return str(eval(equation))
... | 101fc72a47dc412ce299cb6e2be792c7b979b20b | 3,604,339 |
def build_fn_regs_custom_model_reg(X, n_outputs_, hidden_layer_sizes=None):
"""Build regressor with subclassed Model registered as serializable."""
if hidden_layer_sizes is None:
hidden_layer_sizes = []
x = Input(shape=X.shape[1])
z = Dense(X.shape[1], activation="relu")(x)
for size in hidde... | e87a8771e0f132f02b49e8f06d86608a3fa28ebc | 3,604,340 |
def getHouseMsg():
"""
获取今日房价信息
:return:
"""
current_house_msg = getLastDayHouseMsg()
week_house_msg = getWeekHouseMsg()
current_house_date = current_house_msg[0]
current_house_price = current_house_msg[1]
current_house_num = current_house_msg[2]
new_house_price = week_house_msg[0]
new_house_num = week_hous... | e4d032e7f7d2182feedd46b44402aca60c980af7 | 3,604,341 |
def get_report_fnames(p, subj):
"""Get filenames of report files."""
fnames = [op.join(p.work_dir, subj, '%s_fil%d_report.html'
% (subj, p.lp_cut))]
return fnames | 0f48132a4e5f59a2c8ab7289d0b73e46462d222c | 3,604,342 |
def cnn_2d(x, weight_shape, strides, name, padding="VALID"):
"""
A 2d Convolutional layer
:param x: Tensor, input tensor
:param weight_shape: Tensor, [filter_size, filter_size, n_input_features, n_output_features]
:param strides: Tensor, [1, stride_x, stride_y, 1]
:param name: String, Name of th... | b29e5f98db695887fd74d726b9d5bc0cb9a3af44 | 3,604,343 |
def collatz(n):
"""Cuenta las veces que se itera hasta llegar a 1.
Pre: n debe ser un numero entero.
Post: Devuelve un numero natural de las repeticiones.
"""
res = 1
while n!=1:
if n % 2 == 0:
n = n//2
else:
n = 3 * n + 1
res += 1
return res | 4e1b5d227dfe18eddad1832352c3280995c672e5 | 3,604,344 |
def pl_powerlawsi(S,S_e,freq= [150, 1420], kind=None):
"""
plot powerlaw of spectralindex
*Inputs*
:S:
Total flux of TGSS and NVSS resp (list)
:S_e:
error on Total flux of TGSS and NVSS resp (list)
:freq:
frequency of TGSS and NVSS resp (list) (default = [150, 1420] )
*Example*
.. code-block:: p... | d9bd903210cffc1ab9b8d9b7fcd411484c2480a5 | 3,604,345 |
from typing import Optional
async def update_player(identifier: Optional[str] = None, nickname: Optional[str] = None,
username: Optional[str] = None, player: UpdatePlayerModel = Body(...),
current_user: AdminModel = Depends(get_current_user)):
"""
Get an item by... | c84141dc09857608fdeefaa9777db12117e68b49 | 3,604,346 |
def get_datasets(expand=None, filters=None, queries=None, as_dataframe=None):
"""Return all available datasets in active project.
Args:
expand (bool, Optional, Default=None):
include dataset details and format as dict
filters(dict, Optional, Default=None):
filter datase... | 2a371f83660373646176a92b39644fa1273ed740 | 3,604,347 |
def count_viewable(row, col, m, flipped_m):
"""Before coming in, should pad with a border of 2
This allows np.diagonal() to work.
m = np.pad(m, pad_width=2, mode='constant', constant_values=0)
row, col = row+2, col+2
"""
val = m[row, col]
n_rows, n_cols = m.shape
up = m[:row, c... | f596a0b052b8da8fcc58f2bf7bc4698b95377735 | 3,604,348 |
from typing import List
from typing import Tuple
def combine_user_data(files: List[Tuple[str, str]]) -> str:
"""Make a multipart/* message from a file content.
Args:
files: Paths to a file, a content of which will be used as 'UserData'.
Returns:
A multipart/* message attached a file cont... | 73509154545d0a210250055caec59d6fe6fc33b0 | 3,604,350 |
import typing
def lookahead_intersect(
a: typing.Optional[LookaheadRule],
b: typing.Optional[LookaheadRule]
) -> typing.Optional[LookaheadRule]:
"""Returns a single rule enforcing both `a` and `b`, allowing only terminals that pass both."""
if a is None:
return b
elif b is None:
... | 32d3d80933a707d7e2557be06a72067ca3a97a09 | 3,604,352 |
import re
def format_error(log: str, pkg_version):
"""
Execute some replacement transformations on the log,
to make it more compressible
"""
# remove store hashes
log = re.subn(r"(.*/nix/store/)[\d\w]+(-.*)", r"\1#hash#\2", log)[0]
# reduce multiple white spaces to a single space
log... | 7bae545c480eeeabf57aac9ca5603e34e9368aee | 3,604,353 |
import platform
def supports_posix() -> bool:
"""Check if the current machine supports basic posix.
Returns:
bool:
True if the current machine is MacOSX or Linux.
"""
return platform.system().lower() in (
"darwin",
"linux",
) | 527bb8570e0493deec01aadafdf929e7315b27c0 | 3,604,354 |
def create_version(uid, ver_uid):
"""
Create a resource version.
:param string uid: Resource UID.
:param string ver_uid: Version UID to be appended to the resource URI.
NOTE: this is a "slug", i.e. the version URI is not guaranteed to be the
one indicated.
:rtype: str
:return: Vers... | 9acdb8150cf02b776d6875e15f5426706d70c26a | 3,604,355 |
import torch
def compute_reconstruction_error(vae, data_loader, **kwargs):
"""
Computes log p(x/z), which is the reconstruction error.
Differs from the marginal log likelihood, but still gives good
insights on the modeling of the data, and is fast to compute.
"""
# Iterate once over the data ... | ee4fa35002e0f43d6482ae7f9ccfc7b7b1282db7 | 3,604,356 |
import torch
def shannon_entropy(w: 'Tensor[N, N]') -> 'Tensor[1]':
"""
Compute the Shannon entropy of w.
Function has a runtime of O(N^3)
"""
n = w.size(0)
Z = matrix_tree_theorem(w)
logw = w.clone()
logw[logw == 0] = 1
logw = torch.log(Z) / n - torch.log(logw)
return first_or... | 9824f59c6c38c212cb2b5527d8d9e687b96ad680 | 3,604,357 |
def get_file_filter():
"""get file filter"""
composite_filter = CompositeFileFilter([FilterFileExist()])
return composite_filter | 0a5fd00eaa76be37c5c963735104a52af685c200 | 3,604,358 |
def sporocila_get():
"""Vrne sporočila uporabnika in možnosti za prejemnike novega sporočila
"""
(username, ime, emso) = get_user()
c = baza.cursor()
c.execute(
"""SELECT DISTINCT cas, prejemnik, posiljatelj, sporocilo
FROM sporocila
WHERE (prejemnik = %s OR posiljatelj = %... | b80672767f683c9baeae7d5e6e0fb359f3a1b358 | 3,604,359 |
def add_bgp_neighbors():
"""POST BGP configuration from form data"""
prefix_lists = GetPolicies.fetch_prefix_list(netconf_session)
route_maps = GetPolicies.fetch_route_maps(netconf_session)
if local_as is None:
return render_template('add_bgp_neighbor.html', local_as="No_AS", prefixes=prefix_... | cdf639b71030e28bc86f7b413c13322a4c3fd331 | 3,604,360 |
def _whbtms(anchor):
"""Return width, height, x bottom, and y bottom for an anchor (window)."""
w = anchor[2] - anchor[0] + 1
h = anchor[3] - anchor[1] + 1
x_btm = anchor[0] + 0.5 * (w - 1)
y_btm = anchor[1] + 1.0 * (h - 1)
return w, h, x_btm, y_btm | 0b4d65ad8a9dca2753ee703ad47764a1cb88f50e | 3,604,361 |
import warnings
def gumbel_recurrence(q, recurrence):
"""Deprecated! Use dist_recurrence(..., dist='gumbel_r')."""
warnings.warn(gumbel_recurrence.__doc__, DeprecationWarning)
return dist_recurrence(q, recurrence, dist='gumbel_r') | 4d20fe8aab249e6fef9ca724f433e36adf4773a2 | 3,604,363 |
from datetime import datetime
import pytz
def get_trade(
trade_id: int = 3132964,
product: Pair = Pair.ETH_BTC,
side: Side = Side.SELL,
created_at: datetime = datetime(2018, 1, 2, 1, 18, 26, 406, pytz.UTC),
size: Decimal = Decimal("0.00768977"),
price: Decimal = Decimal("0.0575"),
fee: Dec... | bf921f4c8a1d41efe851bb803fe3f6dc2197fbec | 3,604,364 |
def hi():
"""
"""
return "Welcome to the IRIS Prediction Model!" | b2d5ff70eedebe5c628ff6676b03e30badf31666 | 3,604,365 |
def svn_opt_subcommand_help3(*args):
"""svn_opt_subcommand_help3(char const * subcommand, svn_opt_subcommand_desc2_t table, apr_getopt_option_t const * options_table, apr_pool_t pool)"""
return _core.svn_opt_subcommand_help3(*args) | 774aca3c9fdd35284fdbcb24b0bb95679adf5541 | 3,604,366 |
def get_total_per_month(month, board_list):
"""Sums all the values in a month board.
:param month: The month to calculate total for
:param board_list: The entire Trello Board
:return: The sum for the month not rounded
"""
month = month.lower()
total = sum(
float(crd.name.split('-')[1... | 793db7a2d24c15137b99eb84e51ac4d9cf3e1b7e | 3,604,367 |
def humanize_delta(
delta: relativedelta, precision: str = "seconds", max_units: int = 6
) -> str:
"""
Returns a human-readable version of the relativedelta.
precision specifies the smallest unit of time to include (e.g. "seconds", "minutes").
max_units specifies the maximum number of units of time... | 1391604a6190579680cb1546438c175b8999b508 | 3,604,369 |
def create_json_structure(header_csv, delimiter):
"""
Create json structure
:param header_csv: header_csv that contains the futur json's fields
:param delimiter: delimiter of the nested json
:return: json structure created
"""
# Sort header of csv to find the... | 9abc7173951cf8da305828650e84bcb224b24b50 | 3,604,370 |
def nested_unstack(x):
"""Unstacks a pytree of numpy arrays.
Inverse of nested_unstack.
Example:
nested_unstack((np.array([1, 3]), np.array([2, 4]))) == [(1, 2), (3, 4)]
"""
def unstack(arr):
(*slices,) = arr
return slices
return nested_unzip(nested_map(unstack, x)) | ce868f2cab42762e2424277a3f3000f74fe75ff9 | 3,604,372 |
def substract(x, y):
"""SUB NUMBERS TO GETHER"""
return y - x | 9be83227021ae8c37d4e2c2c9497346f96e878d0 | 3,604,373 |
def deleteNone(_dict):
"""Delete None values recursively from all of the dictionaries, tuples, lists, sets"""
if isinstance(_dict, dict):
for key, value in list(_dict.items()):
if isinstance(value, (list, dict, tuple, set)):
_dict[key] = deleteNone(value)
elif val... | ac570fc3493277c3e39d87c0db006d18ac797abc | 3,604,374 |
def _compute_land_only_mask(ds, lsm_min=0.8):
"""Computes a mask for cells that are considered to be over the
land. The lsm fraction is above lsm_min. Here, lsm is the land-sea
mask as a fraction (0 is all water, 1 is all land)."""
da_mask = ds.lsm > lsm_min
da_mask.attrs[
"long_name"
] ... | 23b682a216031abac3e90989d130f7b3de9abf7c | 3,604,375 |
def check_datasets(datasets):
"""Check that datasets is a list of (X,y) pairs or a dictionary of dataset-name:(X,y) pairs."""
try:
datasets_names = [dataset_name for dataset_name, _ in datasets]
are_all_strings = all([isinstance(dataset_name, str) for dataset_name in datasets_names])
are... | e02771dd7d2df3d9e716141ba2ada92408a2b14e | 3,604,376 |
from typing import Any
import re
def make_exp(ltr_cnt: int = 3, inc_num: bool = False,
inc_apos: bool = True) -> Any:
"""Make compiled regular expression."""
return re.compile(make_token_pattern(ltr_cnt, inc_num, inc_apos)) | f31d51da4dda06cd57d9b4fd250d87d1d527ec5d | 3,604,378 |
def plant_partial_rectangle(trajectories, r, p, q, eps):
"""
This plants a region containing r fraction of the total arc length of all trajectories. q fraction of the trajectories
crossing this region are assigned to be anomalous and p fraction of trajectories not crossing this region are assigned
to be... | c169457627eda273237e6be9cddb0e77b48ca41b | 3,604,379 |
def chebadd(c1, c2):
"""
Add one Chebyshev series to another.
Returns the sum of two Chebyshev series `c1` + `c2`. The arguments
are sequences of coefficients ordered from lowest order term to
highest, i.e., [1,2,3] represents the series ``T_0 + 2*T_1 + 3*T_2``.
Parameters
----------
... | a2a5f976288c121b1c393fdff316c03bc3868842 | 3,604,380 |
def move_dtindex(dataframe, shift, freq):
"""
数据框的时间索引漂移，只改变索引，数据并不发生漂移
:param dataframe: 数据框
:param shift: 漂移步长
:param freq: 漂移频率
:return: new_frame
"""
is_ser = False
if isinstance(dataframe, pd.Series):
dataframe = dataframe.to_frame()
is_ser = True
if isi... | 74d76b230c85b0cefe718350c73d1d8cfc4271bd | 3,604,381 |
from re import X
def calc_area(points):
"""Calculate the area of a polygon
:return: Area of polygon
"""
#ref: http://en.wikipedia.org/wiki/Polygon
if len(points) < 3: return 0
p1 = points[0]
a = 0
for p2 in points[1:] + [points[0]]:
a += p1[X] * p2[Y] - p2[X] * p1[Y]
... | 1939a6831a9cb8d140e8d372ce879fca43efffb6 | 3,604,382 |
import logging
def compare_spatial_geneexp(adata_ge, adata_sp, adata_sc=None, genes=None):
""" Compares generated spatial data with the true spatial data
Args:
adata_ge (AnnData): generated spatial data returned by `project_genes`
adata_sp (AnnData): gene spatial data
adata_sc (AnnDat... | 4ee9083ff753fa77f792c6241daee95435063e6d | 3,604,383 |
def get_symbol(symbol_vector, name):
"""
Find a casadi symbol by its name in a vertcat (vertical concatenation) vector of symbols.
This method can also find vector-shaped symbols that span across a part of the full symbol vector.
"""
idx = get_symbol_idx(symbol_vector, name)
if idx is No... | 827bddfb3a423270178aecedee2f15dd664450da | 3,604,384 |
def _make_iterable(x):
"""Transforms non-iterables into a tuple, but keeps iterables unchanged."""
try:
iter(x)
except TypeError:
return x,
else:
return x | 584802736d9c731401ef5d2447ffbb4195c4920a | 3,604,385 |
def is_inside_except(node):
"""Returns true if node is inside the name of an except handler."""
current = node
while current and not isinstance(current.parent, astroid.ExceptHandler):
current = current.parent
return current and current is current.parent.name | 7e12a8b531f49bd7d6a3f2ca570adac0e64d03b8 | 3,604,386 |
def extract_geometries(shape_data, project=True):
""" Enhances the shape data by adding a 'shape_obj' field with the shapely
object, and splits data into points and polygons.
"""
points = []
linestrings = []
polygons = []
for sd in shape_data:
add_shape = _add_shape(sd)
#... | 7d169cc840eb12a8b950f3ca7cdf94ad4f82fedd | 3,604,387 |
def authenticate_with_certificate_chain(reactor, base_url, client_chain, client_key, ca_cert):
"""
Create an ``IAgent`` which can issue authenticated requests to a
particular Kubernetes server using a client certificate.
:param reactor: The reactor with which to configure the resulting agent.
:par... | 3606e3d987cfc212a6d2a1352d2c2440d3c38cbc | 3,604,388 |
import requests
import json
def get_card_updated_data(scryfall_id) -> str:
"""Gets updated data from scryfall
Args:
scryfall_id ([type]): [description]
Returns:
json: result from scryfalls card api
ref: https://scryfall.com/docs/api/cards/id
ex scryfall_id="e9d5aee0-5963-41db-a2... | 2a0f1a9c65cbe7e173543e8a3d4b03fd364e2ae6 | 3,604,389 |
def publish_submit(request):
"""Publish - Marketplace submission page."""
return jingo.render(request, 'ecosystem/publish_submit.html',
{'page': 'publish_submit', 'category': 'publish'}) | a126b5e175db9b05f777aeccc64efebdaea3fbdd | 3,604,390 |
import random
def sample_next_sequence(vocab, probs, seq_length, scheme):
"""Sample a full sequence of random tokens using uniform or multinomials."""
if scheme.endswith("_uniform"):
return [random.choice(vocab) for _ in range(seq_length)]
elif scheme.endswith("_freq"):
bow_sent = np.random.multinomial... | 72c78699e9df29d1ad2207506f223561b49ab4f8 | 3,604,391 |
def decompose(data: pd.DataFrame) -> tuple:
"""
STL时间序列分解
"""
decomposition = seasonal_decompose(data)
trend = decomposition.trend
seasonal = decomposition.seasonal
residual = decomposition.resid
return trend, seasonal, residual | 215d70906f85df6d83ccd0cc359e1e856bb85a68 | 3,604,392 |
def input_fn(data_dir,
subset,
num_shards,
batch_size,
use_distortion_for_training=True):
"""Create input graph for model.
Args:
data_dir: Directory where TFRecords representing the dataset are located.
subset: one of 'train', 'validate' and 'eval'.
n... | 948195ce6ed035271952b086d3413dfe0dfd87c5 | 3,604,393 |
import torch
def basis(A):
"""Return orthogonal basis of A columns.
"""
if A.is_cuda:
# torch.orgqr is not available in CUDA
Q, _ = torch.qr(A, some=True)
else:
Q = torch.orgqr(*torch.geqrf(A))
return Q | ad5de52748b4bfca35c2607af623457b4e0362c3 | 3,604,394 |
import torch
def get_thresholded_graph(meta_data_tensor, threshold_list):
"""Get the thresholded graph given meta information and a list of
thresholds.
Args:
meta_data_tensor:
threshold_list:
Returns:
"""
adj_list = []
for k, v in enumerate(threshold_list):
meta_... | a09b27dfea06519b06ef5ed25793da67b01f4bfe | 3,604,395 |
def get_candidate_file_name(
monotonous: bool,
agg_point: bool,
both: bool = False,
) -> str:
"""Get canonical filename for candidate set sizes."""
if both:
return f"candidate_sizes{'_mono' if monotonous else ''}_k_point"
else:
return f"candidate_sizes{'_mono' if monotonous else ... | 85b27f7767fd495a46459553b96160691a3dbeda | 3,604,396 |
def test_magic_factory():
"""Test basic magic_factory behavior."""
@magic_factory(call_button=True)
def factory(x: int = 1):
return x
assert isinstance(factory, MagicFactory)
# factories make widgets that are FunctionGui instances
widget1 = factory()
assert isinstance(widget1, Fun... | 5f468809432ff40521ead18fa1cbafd7df70ae09 | 3,604,397 |
def _matrix_exp_pade5(matrix):
"""5th-order Pade approximant for matrix exponential."""
b = [30240.0, 15120.0, 3360.0, 420.0, 30.0]
b = [constant_op.constant(x, matrix.dtype) for x in b]
ident = linalg_ops.eye(array_ops.shape(matrix)[-2],
batch_shape=array_ops.shape(matrix)[:-2],
... | 806fe9bf2c1d9bcd34cf9a2c9ec68eb1f04c7a44 | 3,604,398 |
import transformers
def num_tokens(s: str):
"""Compute the number of tokens according to GPT"""
global _tokenizer, _tokenizer_old_version
if _tokenizer is None:
_tokenizer = transformers.GPT2TokenizerFast.from_pretrained("gpt2")
_tokenizer_old_version = (len(_tokenizer.tokenize("\n\nx")) =... | 376912ec778b9b2c83c56df2110fac622771049a | 3,604,399 |
def logs(request, tplname="core/logs.html"):
"""Return a list of log entries.
This view is only called the first time the page is displayed.
"""
page = get_logs_page(request, 1)
return render_to_json_response({
"callback": "logs",
"content": render_to_string(tplname, {"logs": page.... | a43b52533a0dc67a65b6ab3753a79754f97da26e | 3,604,400 |
def log_out():
"""Log user out"""
# Remove user from session
del session['user']
return redirect("/") | cf8dece3e216d96df3678d63bcd7a2a9dc84dbe9 | 3,604,401 |
def square_of_sum(limit):
""" Returns the square of the sum of all integers in the range 1 up to and
including limit.
"""
return sum([i for i in range(limit + 1)]) ** 2 | 503048c7b175d10dce20ff9d2f9435be4fbe1c35 | 3,604,402 |
def expand_unique_results(y, idx):
"""Inverse of unique_bitstrings_with_counts.
Args:
y: Values to pick according to `idx`.
idx: The index at which to place each value of `y` in the output.
Returns:
expanded: `tf.Tensor` such that `expanded[i] == y[idx[i]]`.
"""
expanded = tf.gather(y, idx, axis... | 4d8df1d42b1b437c722ad84cc967679860752c6b | 3,604,403 |
def create_news_abc(schedule_model):
"""Abstract base news model factory.
:param schedule_model: Schedule model to use as news's schedule.
:type schedule_model: Any concrete schedule model of abc models from
:func:`~create_abc_schedule` factory function.
:returns: A abstract base news model.
... | c2572992175f990f557cc02db5010fb62d83c5ca | 3,604,404 |
def ResNet18(include_top=True,
weights=None,
input_tensor=None,
input_shape=None,
pooling=None,
classes=1000,
use_bias=False,
block_fn=vanilla_block,
**kwargs):
"""Instantiates the ResNet18 architecture."""
... | 240127eb117366849de2cdc5d7d6b95d26d96c2a | 3,604,405 |
def sigmoid2(temperature, b, c):
"""The two parameter sigmoid function from Chuine 2000
The full equation is f(x) = 1 / (1 + exp(b*(temp -c)))
The scipy.special.expit function = 1/(1+(-x))
Using float32 increases speed significantly over
the default float64
Parameters
----------
tem... | 44f8af88df2363e4cbe34f5388e5765bbb61de48 | 3,604,406 |
def empty():
"""
This matcher matches any collection-like object that responds to the
__len__ method, and has a length of 0.
"""
return IsEmpty() | ead89734a3768f8cbdd1c0345fb2e3ada2ee5e0d | 3,604,407 |
def calc_VCC(mdot_kgpers, T_sup_K, T_re_K, q_nom_chw_W, number_of_VCC_chillers):
"""
For th e operation of a Vapor-compressor chiller between a district cooling network and a condenser with fresh water
to a cooling tower following [D.J. Swider, 2003]_.
The physically based fundamental thermodynamic mode... | 204f723ef1034a7183c2b3951b6e26d89badb9c4 | 3,604,408 |
def version_to_str(version): # type: (t.Tuple[int, ...]) -> str
"""Return a version string from a version tuple."""
return '.'.join(str(n) for n in version) | 6f0ebb96c944645b228fec6f05aeb65d9d6d3374 | 3,604,409 |
from typing import Optional
from typing import Any
import logging
def get_logger(name: Optional[str] = None, **kwargs: Any) -> Logger:
"""Return a logger with the specified name.
:param name: Logging channel name, defaults to None.
:returns: Logger instance.
.. seealso::
:py:func:`logging.g... | c300b87d622f3a0d01a0a6fa24e0f9e6000d32ce | 3,604,411 |
def has_duplicate(sampled_clumper):
"""Checks for a duplicate"""
for i in range(len(sampled_clumper)):
source_clump = sampled_clumper[i]
for j in range(len(sampled_clumper)):
if i != j:
if sampled_clumper[j] == source_clump:
return True
return ... | d34dc7de8d84b1dc9e1b65e0a83b9cefcbed8055 | 3,604,412 |
def _resolve_expressions(expression_chain):
""" Given a chain of intermittend expressions and operators, resolve it
into single expression by taking priority rules into account.
"""
chain = expression_chain.copy()
for ops in TOKEN_PRECEDENCE:
i = 0
while i < len(chain):
i... | 2975b3aa51d8451ed9c7f3a916f93b9eb9d28f18 | 3,604,413 |
def subtract_noise_from_squared_rir(data, noise_level='auto'):
""" Subtracts the noise energy level from the squared RIR. Note, that the
RIR has to be squared before.
Parameters
----------
data : ndarray, double
The squared room impulse response with dimension [..., n_samples]
Retu... | 0ea7ae47b0d05a4b10a788a47eae43e7165e35af | 3,604,414 |
def compute_spherical_volume(radius):
"""
Given radius, return volume of corresponding sphere.
Args:
radius (float): radius of sphere
Returns:
(float): volume of sphere
"""
volume = 4.0/3.0 * np.pi * radius**3
return volume | 4536a386274e617ac23fba12d50aed6b38a46079 | 3,604,416 |
import re
def is_valid_regex(regex):
"""Helper function to determine whether the provided regex is valid.
Args:
regex (str): The user provided regex.
Returns:
bool: Indicates whether the provided regex was valid or not.
"""
try:
re.compile(regex)
return True
... | 4c544168f2b1894e7cc7c7804342f923287022b5 | 3,604,417 |
from typing import Iterable
from re import T
from typing import Iterator
def take_last(iterable: Iterable[T], n: int) -> Iterator[T]:
"""
take only the last n elements of the iterable.
>>> list(take_last(range(1000), 3))
[997, 998, 999]
"""
return deque(iterable, maxlen=n) | c6fab277038ff512683c38d9ce5986788c19d152 | 3,604,418 |
def make_rigidgroups_data(prot):
"""
ziyao: this function generates all rigid-groups-related keys including:
[
'rigidgroups_gt_frames',
'rigidgroups_gt_exists',
'rigidgroups_group_exists',
'rigidgroups_group_is_ambiguous',
'rigidgroups_alt_gt_frames'
]
"""
# ziyao: this function assumes ... | 782364d866a37cf0d4730dc7c950ad69abbb1ae9 | 3,604,419 |
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