content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def hour_angle (sid_UT, loc, ra) :
"""Hour angle for sidereal_time `sid_UT`, location `loc`, and
right ascension `ra`.
`sid_UT` and `ra` must be Angle_D/Angle_R instances.
"""
### J. Meeus, p. 92
lon = loc.longitude_meuss
ha = (sid_UT - lon - ra).degrees
if abs (ha) >= 360.0 :
... | 55839e5afac00a2fa12256f559c688244bbcff12 | 38,642 |
def gaussian_mle_1d(x, photon_count, pixel_size, initial_position=None, initial_sigma=0.250):
"""Calculate the maximum likelihood estimate of the model parameters given measured photon count for 1D data.
Parameters
----------
x : array-like
Position data at which the function is to be evaluated... | 7722f23f433ec268386bba3b398abbb58afbc0f4 | 38,643 |
def compute_num_sim_ftrs(sim_func_names, num_doc_fields, num_user_fields, num_deep):
"""Computes the number of similarity features
:param num_doc_fields Number of document fields
:param num_user_fields Number of user fields
:param num_deep Number of deep features
:param sim_func_names Similarity fu... | 9700b14bbe4c550c3c3161d995ed87012d9356af | 38,644 |
def brent(f, a, b, args=(), max_iteration=100, tolerance=1e-8):
"""
Calculate roots using Brent's method.
Parameters
----------
f: function
Objective function.
a: float
Lower bound for the roots.
b: float
Upper bound for the roots.
args: tuple, optional
A... | a9648956b7bd5bafa15d971cf389cacfcc0b2413 | 38,645 |
def square_slerp(xy, base_pts):
"""Transforms a square in [0,1]^2 to a spherical quadrilateral
defined by base_pts, using spherical linear interpolation
Args:
xy: Array, shape [..., 2]. XY coordinates on the square.
base_pts: Array, shape [4, ..., 3]. Coordinates of the square.
... | ada12eb806f16d087772c9dfff24683de2cd8597 | 38,647 |
def encrypted(text, key):
"""Ceasarchifferskryptering
Args:
text (_str_): Den text som ska krypteras.
key (_int_): Hur många steg ska vi skifta?
"""
encrypted = ""
# loop through the message char by char
for char in text:
# check if it's an upper case letter
... | 46f85f9db742daf02e67030eb75f7bf035b073d8 | 38,648 |
import torch
def dist(batch_reprs, eps = 1e-16, squared=False):
"""
Efficient function to compute the distance matrix for a matrix A.
Args:
batch_reprs: vector representations
eps: float, minimal distance/clampling value to ensure no zero values.
Returns:
distance_matrix, clamped to ensure no zero values ... | be4d50e35ed11255eef2dc1acb4645de1453964c | 38,649 |
def check_write_entity(entity, authz):
"""Implement the cross-effects of mutable flag and the authz
system for serialisers and API."""
if authz.is_admin:
return True
collection_id = ensure_dict(entity.get("collection")).get("id")
collection_id = entity.get("collection_id", collection_id)
... | 3b12d562940af03e447fc30cb2ffa08058785354 | 38,650 |
import array
def get_timed_data(wb,sheetname):
"""
Get the data from Tsys vs time data sheet
"""
sheet = wb.get_sheet_by_name(sheetname)
date_nums = date2num(array(get_column(sheet,"Date/Time")))
ras = get_column(sheet,"R.A.")
decs = get_column(sheet,"Decl.")
azs = get_column(sheet,"A... | 78ecab215dc88886ceee1c0518742279d90aa907 | 38,651 |
def juniper_items_to_list_of_dicts(module, data):
"""Recursively convert Juniper PyEZ Table/View items to list of dicts.
"""
resources = []
# data.items() is a list of tuples
for table_key, table_fields in data.items():
# sample:
# ('fxp0', [('neighbor_interface', '1'), ('local_inter... | 2415d6608bb182dcf5c5fd45c067b4a8c34ca898 | 38,652 |
def unquote(s):
"""Strip single quotes from the string.
:param s: string to remove quotes from
:return: string with quotes removed
"""
return s.strip("'") | 15d29698e6a3db53243fc4d1f277184958092bc6 | 38,653 |
def construct_banded_matrix_from_band(
num_lower_diagonals: int, num_upper_diagonals: int, rect_mat: np.ndarray
) -> np.ndarray:
"""
Constructs a square banded matrix from a representation of the band.
:param num_lower_diagonals: aka ``l``
:param num_upper_diagonals: aka ``u``
:param rect_mat: ... | 0c93a6af563a93bf9885e42ae62a5bd3d17f0741 | 38,654 |
def create_jet_model_image(width, j_length, cj_length, max_flux, imsize,
center, gauss_peak=0.001, dist_from_core=24,
gauss_bmaj=10, gauss_e=1., gauss_bpa=0.,
gauss_peak_jet=0.0, dist_from_core_jet=24,
gauss_bmaj... | 396f080f987c1628df110bbf79e55ea65394d3b6 | 38,655 |
def choose_square(empty_squares,
row_candidates, col_candidates, square_candidates):
"""
Iterates through all the squares, and returns the most constrained squares.
Constrained factor is defined as length of intersection of that
square's row, column and encompassing sq... | 6c0dc97fe8e5d370c155be0abadbc02927da47e1 | 38,656 |
import string
def normalize(text):
""" Remove all punctuation for now """
return ''.join('' if c in string.punctuation else c for c in text) | 9332583adb0ff3bfbe37170b2acdd58f09b3fe5e | 38,658 |
def zyz_unitary(ϕ, θ, λ):
"""
Unitary decomposed as Rz, Ry, Rz rotations.
Angles are in matrix order, not in circuit order!
"""
return expm(-0.5j*ϕ*pZ)@expm(-0.5j*θ*pY)@expm(-0.5j*λ*pZ) | bd0f4a394893717486fe68a88419c45266bdc9fa | 38,659 |
def build_model(idkey):
"""
Default parameters:
ImageTransformer(leak=0,
norm_type='batch',
DWS=True,DWSFL=False,
outerK=3,resgroups=1,
filters=[8,16,16],
shuffle=False,
blocks=[2,2,... | 614de0669a77c5959291c9cd91df8f2d6e0e61f2 | 38,660 |
def p_AB(A, b, L):
"""
Numerator of function f.
"""
a11, a12, a13, a21, a22, a23, a31, a32, a33 = \
A[0, 0], A[0, 1], A[0, 2], \
A[1, 0], A[1, 1], A[1, 2], \
A[2, 0], A[2, 1], A[2, 2]
b1, b2, b3 = b[0, 0], b[1, 0], b[2, 0]
return L**4*(-a11*a22*b3**2 + a11*a23*b2*b3 + a11*a32... | 530655f0e6e56ef6aca4ad82d5076543caec0ddb | 38,661 |
def disqus_num_replies(context, shortname=''):
"""
Return the HTML/js code which transforms links that end with an
#disqus_thread anchor into the threads comment count.
"""
shortname = getattr(settings, 'DISQUS_WEBSITE_SHORTNAME', shortname)
return {
'shortname': shortname,
'con... | 64e5fd5f12c2ec7e3ad4b28cdf4fdaeccf08fd06 | 38,662 |
def infer_flags(bytecode, is_async=None):
"""Infer the proper flags for a bytecode based on the instructions.
Because the bytecode does not have enough context to guess if a function
is asynchronous the algorithm tries to be conservative and will never turn
a previously async code into a sync one.
... | 02744153c3af35468268cfe9eb0353c8039ac351 | 38,663 |
def form_generic_id(request, id1, template_name=None, form_class=None,
request_url_post=None, request_url_get=None,
success_msg=lambda desc: _('Success'), ask_msg=lambda x: '', confirmation=_('Yes'),
request_url_both=None, ajax_success_status=0, id_key=None):
... | 7809d7eefbc311244f94c1420b7c27d794c66a8c | 38,664 |
def gromov_barycenters(N, Cs, ps, p, lambdas, loss_fun, epsilon,
max_iter=1000, tol=1e-9, verbose=False, log=False, init_C=None):
"""
Returns the gromov-wasserstein barycenters of S measured similarity matrices
(Cs)_{s=1}^{s=S}
The function solves the following optimization prob... | 51bc85b192c34514e803e5a5ab5f1b3caad6273a | 38,665 |
def check_elemental_balance(model, r_id, tol=1e-6):
""" Check elemental balance of a reaction in a model.
Notes:
Since some metabolites can have multiple formulas associated, it will check if at least one possible
combination of all formulas results in a balanced reaction.
Args:
mo... | 8a0344b4e2ccbd82aba63b63397cee7ec3804d1c | 38,666 |
def BB_flux(E1, E2, T):
"""
Wrapper to compute black body flux given minimum and
maximum energies (in eV) and a black body temperature.
"""
x1 = E1 / (const.k_boltz * T) / const.eV_erg
x2 = E2 / (const.k_boltz * T) / const.eV_erg
A = 2.0 * const.k_boltz**4 * T**4 / (const.h**3 * const.c**... | a76381c9a033bf65e403adb9dfe08d5cc021ed97 | 38,667 |
def asn1_parse(template, data):
"""Parse a data structure according to an ASN.1 template.
@param template: tuples comprising the ASN.1 template
@param data: byte string data to parse
@return: decoded structure
"""
data = bytearray(data)
r = []
i = 0
try:
for t in template:
... | 308bdc1864dffa13d2f94f67910cb21cb54882a6 | 38,668 |
import re
def _parse_faces(obj_faces):
"""Parse the OBJ encoding of the face attribute index buffers.
A value of -1 in the index array of the texture means the index is
undefined (i.e. no texture is mapped to this face corner).
Returns:
faces
faces_texture
faces_normals
"... | d9d22f70fd98de28b3bbfbeb080e52ed60cca03f | 38,670 |
def binary_to_decimal(binary):
"""
Converts a binary number into a decimal number.
"""
decimal = 0
index = 0
while binary > 0:
last = binary % 10
binary = binary / 10
decimal += (last * (2 ** index))
index += 1
return decimal | f1efdf19c802345e6badfed430dd82e3f067a419 | 38,671 |
def namelist(names: list) -> str:
"""
Format a string of names like 'Bart, Lisa & Maggie'
:param names: an array containing hashes of names
:return: a string formatted as a list of names separated
by commas except for the last two names, which
should be separated by an ampersa... | b0b931f3f9365824931173c2aec3ac213342e0c3 | 38,672 |
import functools
def update_wrapper():
"""Copy wrapped function information."""
def do_nothing(): "Doing nothing."
def wrapper():
"""Wraps a function that does nothing."""
return do_nothing()
wrapper_alias = functools.update_wrapper(wrapper, do_nothing)
return wrapper_alias is w... | bf629c54a0c8205de5041fafd5cb042acfc3bcce | 38,673 |
def makeFlowField(a,b,c):
""" Make a vector from 3 components
<div class=jython>
makeVector(a,b,c) = [a,b,c]
</div>
"""
return DerivedGridFactory.createFlowVectors(a,b,c) | 2f1ea8b2283f850c01d527b344858cddc28935b9 | 38,674 |
import numpy
def arraytodk3d(x):
"""
Convert back 1d array of independent elements to correct complex array fft-style
"""
nmesh = round(x.shape[0]**(1/3.))
y = numpy.zeros((nmesh, nmesh, nmesh/2+1), dtype = numpy.complex128)
# Structure saved-
# - first the real and complex part of N*N*... | 54d29be8a70069430e8e9f3ac43eef05687c5327 | 38,675 |
def handler(context, inputs):
"""
Create IPAM object,
define deaalocate_ip function
and start deallocation function
"""
ipam = IPAM(context, inputs)
IPAM.do_deallocate_ip = do_deallocate_ip
return ipam.deallocate_ip() | a107971aa45959e715c3d242dce16038ca94bae0 | 38,676 |
def _n_centred_onedgaussian_Inorm(pars, I=None, sigma=None):
"""
Returns a function that provides the sum
over N 1D gaussians, where N is the length of
I,sigma *OR* N = len(pars) / 2
The background "height" is assumed to be zero (you must "baseline" your
spectrum before fitting)
pars - a... | 3860656a23ef8b81a652ae3a1b21af9e13aa4f08 | 38,677 |
def prepare_plot_dir(dirpath):
"""
Add a trailing / to the plot dir if missing and creat dir if needed.
:param dirpath: path of existing or planned directory
:return: dirpath with / as the final character
"""
# add a slash to filename if it wasn't provided.
if dirpath[-1] != '/':
di... | 95b136e0e74d767f46610f051f48e4c250969422 | 38,678 |
def o목록(message):
"""제가 지원하는 기능들을 알려줘요."""
return ', '.join(_목록()) +" 같은게 있어요!" | 86c9e633c8d33cbae94d68aff143fcd0ef7955e1 | 38,679 |
def testvolc(compareto,volcfiles,runshortname):
"""Performing the volcanic test
Input: compaareto = the flag to decide whether to compare to LENS2 or B1850 or both
volcfiles = the file listing for the volcanic test for your test case
runshortname = the shortname for labelling the test case... | 729199b0e0fa09d2687aa545bf9ae5817a30ac7a | 38,680 |
def parse_select_job_input_file(file):
""" INPUT
file = micrographs_ctf.star file used as input to the Select job
RETURNS
ordered_list_of_micrographs = list of entries as they appear in the input file, e.g.: [ _rlnMicrographName1, _rlnMicrographName2, ... ]
"""
print(" >>> P... | cc4fa7d9fd51f67892f3a7bd33ed69eff56ca367 | 38,681 |
def selectordialog(args):
"""
Emulates a selector control that is lvalues compatible for subsequent conditionals in Kodi settings
args is a list of strings that is kwarg 'like'.
'id=myid': (Required) where myid is the settings.xml id that will be updated
The plain id will contain the actual inde... | bfed44f866c01c100485ce6e5b8d5400df706ea2 | 38,682 |
def create_hmac_hash(hmac_payload: str, hmac_secret_key: str) -> str:
"""Returns sha256 HMAC hexdigest."""
if hmac_secret_key is None:
raise RuntimeError('hmac_secret_key cannot be None, please set a secret for the application in dotenv file!')
return new(
hmac_secret_key.encode('utf-8'),
... | 84775b9c1550420ab829ba31c6f8d322efda2fbb | 38,683 |
def loadIUPACcompatibilities(IUPAC, useGU):
"""
Generating a hash containing all compatibilities of all IUPAC RNA NUCLEOTIDES
"""
compatible = {}
for nuc1 in IUPAC: # ITERATING OVER THE DIFFERENT GROUPS OF IUPAC CODE
sn1 = list(IUPAC[nuc1])
for nuc2 in IUPAC: # ITERATING OVER THE D... | 931f2a765ec9499b8553d13d7de93c6b261622de | 38,684 |
def update_offer_viewed(offer_counter, merged_data, consumer_id, offer_id, offer_end):
"""
Update the dataframe with information related to an offer
being viewed.
"""
i = get_row_indices(merged_data, consumer_id, offer_id)
merged_data.at[i[offer_counter], "offer_viewed"] = True
retu... | c523bb34470333d7244333f867750f367c7b55e1 | 38,685 |
def to_fullspec(rs, es, hds):
"""
Rotationally symmetric dump of a list of each to fullspec
"""
output = []
for idx in range(0, len(rs)):
row = {"r": [rs[idx]], "e": [es[idx]], "d": hds[idx] * 2}
output.append(row)
return output | 98cac8ba938249d6af0decfeffedf594ab1d6660 | 38,687 |
def command_generation():
"""Adds a generate cell to Notebook."""
return jsonify(generate(request.json["query"], request.json["context"])) | 6a1263ca26b77babd79a4d71d3ba7453a5965437 | 38,689 |
from django.db.models.fields.related import ManyToManyField
def rubric_model_to_dict(obj, fields=None, exclude=None, ct_id=None):
"""
Returns a dict containing the data in ``instance`` suitable for passing as
a Form's ``initial`` keyword argument.
``fields`` is an optional list of field names. If pro... | e9beed1a4d472997384c15853553d9783c674cf0 | 38,691 |
def get_uniq_list(data):
"""
列表去重并保持顺序(数据量大时效率不高)
:param data: list
:return: list
"""
ret = list(set(data))
ret.sort(key=data.index)
return ret | d4a43acd42608210c022317999673bd281e5e247 | 38,692 |
def train_val_test_split(messages, labels, split_frac, random_seed=None):
"""
Zero Pad input messages
:param messages: Input list of encoded messages
:param labels: Input list of encoded labels
:param split_frac: Input float, training split percentage
:return: tuple of arrays train_x, val_x, tes... | db7a24a9ffdf00185dafd115877c8eafd584b378 | 38,694 |
import fastapi
import pydantic
import http
async def delete_anime(
*,
session: aio_session.AsyncSession = fastapi.Depends(
dependencies.get_session),
anime_id: pydantic.UUID4,
current_patron: patron_model.Patron = fastapi.Depends( # pylint: disable=unused-argument
dependencies.get_cur... | 1ee8b4ca5f7290387fbb3bf7342e158f5fb6a2e1 | 38,695 |
def jaccard_similarity(mat):
"""
get jaccard similarity matrix
:param mat: scipy.sparse.csc_matrix
:return: similarity matrix of nodes
"""
# make it a binary matrix
mat_bin = mat.copy()
mat_bin.data[:] = 1
col_sum = mat_bin.getnnz(axis=0)
ab = mat_bin.dot(mat_bin.T)
aa = np.... | 69a8cdcb890275a9b44ac1587ece56325884e23d | 38,696 |
from typing import Optional
from typing import Dict
def mnist_dataset(
split: str,
has_labels: bool,
flatten_images: bool,
device_batch_size: int,
repeat: bool,
shuffle: bool,
drop_remainder: bool,
seed: Optional[int] = None,
multi_device: bool = True,
reshuffle_each_iteration:... | 7a064572ce272e178983f293a266365238ce0a7e | 38,697 |
def favorite_mange(manga_id):
"""
endpoint: /manga/<manga_id>/favorite
method: POST
response:
total: total_favorited
status: False
"""
user = User.query.get(g.uid)
user_manga = UsersManga.query.filter_by(
user_uid=g.uid,
manga_id=manga_id
).first()
if ... | b6e78310e3a5f2dc081c391aa537de444a5bf82b | 38,698 |
from typing import Optional
from typing import List
def get_plugins(
user_id : Optional[int] = None,
search_term : Optional[str] = None,
) -> List[str]:
"""
Return a list of registered plugins.
"""
return get_api_connector().get_plugins(user_id=user_id, search_term=search_term) | da314ee59182360461e86ad19f76d89165a4c132 | 38,700 |
def get_tile_rect(x, y):
"""Converts tile indices to a pygame.Rect"""
return Rect(x*SIZE, y*SIZE, SIZE, SIZE) | 70b9b514037fa5916bbccd771766bc20d693a438 | 38,701 |
from scipy.spatial import Delaunay
def checkBlockageQHull(plane1,plane2,planeB,nargout=1):
"""
Using ConvexHull.
This is slower, but worth having as it's more intuitive.
We can use this to have a third opinion.
Check wheter plane1 and plane2 are blocked by planeB.
plane1, plane2, planeB are... | ea8b20d16baf3bc62701e7c4322967326f03dedf | 38,702 |
def getLinks(laneID):
"""getLinks(string) -> list((string, bool, bool, bool))
A list containing ids of successor lanes together with priority, open and foe.
"""
return _getUniversal(tc.LANE_LINKS, laneID) | 9066791739da9ad7b869fabb99f08a0551c3e13a | 38,703 |
from typing import Tuple
def calc_center_position(pos: Tuple[int, int]):
"""
ボックスの中央の座標を取得する
Parameters
----------
pos : (int,int)
ボックスの座標(左上を原点とし、(横、縦)する)
Returns
-------
position : (int,int)
ボックスの中央の座標
"""
box_size = calc_box_size(row, column)
pos_x, pos... | 7127a9063b451aedd206e8e4c2f65b2ed762db71 | 38,704 |
def ws_sheet_names(xlsx_file, log_on_open=True):
"""Return the sheet names in the XLSX file."""
if log_on_open:
log('SCAN: [!c]{:s}[!/c]', xlsx_file)
with closing(load_ro_workbook(xlsx_file)) as wb:
return [str(i) for i in wb.sheetnames] | 39e97f0bc170acb9f30f669afc3a2a939a2554d2 | 38,705 |
def process_citeauthor(
s: str,
lang: str,
**kwargs
) -> str:
"""
Transforms all citeauthor to [cite]. For example:
``'This is from \citeauthor{Pizarro}, and that is from \citeauthor{cite1, cite2}'`` to
``'This is from [author], and that is from [authors]'``.
:param s: Latex... | 2622e2b2d8e59a34f4dbd1d1968eb7bd4a181871 | 38,706 |
import re
def normalize_newlines(text):
"""Normalizes CRLF and CR newlines to just LF."""
# text = force_text(text)
re_newlines = re.compile(r'\r\n|\r') # Used in normalize_newlines
return re_newlines.sub('\n', text) | 835f038f0873546db96d8e9d2a0d622b4e974f7d | 38,707 |
def power_curve_se_42m140():
"""Power curve for Senvion 4.2M140
Extracted by hand from offial spec-sheet at:
https://www.senvion.com/global/en/products-services/wind-turbines/4xm/
"""
wind_speeds = np.hstack(([0., 1., 2., 3.], np.arange(4, 27, step=2), [27., 40.]))
generation_kw = [0., 0., 0., 0... | 40c1823242c4f2f2fbd3c50c0b2e6b9cae926c09 | 38,708 |
def close_ring(coordinates):
"""
checks if the first and last points of a ring are equal and closes the ring
"""
if not points_equal(coordinates[0], coordinates[len(coordinates) - 1]):
coordinates.append(coordinates[0])
return coordinates | 14d121dc25dd774f326845b3c83d2d605d1d69d2 | 38,710 |
def check_families(trace_events, families, event_definitions):
"""
Looks for event types found in the trace that are not specified in the
event definitions.
:param trace_events: Events found in the trace (filtered by family).
:param families: Families to look for.
:param event_definitions: Even... | 2533835283d388ad2fe37d79f6e87f14103a5bee | 38,711 |
def broken_search(nums, target):
"""
Функция должна вернуть индекс элемента, равного k
Eсли такой есть в массиве (нумерация с нуля).
Если элемент не найден, функция должна вернуть -1
Изменять массив нельзя.
"""
return binary_s(nums, target, left=0, right=len(nums)-1) | f427cad35db6ea641e33d26054e64aec9721a462 | 38,712 |
def str_to_timedelta(td_str):
"""
Returns a timedelta parsed from the native string output of a timedelta.
Timedelta displays in the format ``X day(s), H:MM:SS.ffffff``
Both the days section and the microseconds section are optional and ``days``
is singular in cases where there is only one day.
... | dc86def0716afda5e1e4808281275ed2e9514ace | 38,713 |
def get_distribution_strategy():
"""Returns the current `DistributionStrategy` object.
Prefer to use `get_tower_context()` or `get_cross_tower_context()`
instead when possible.
Returns:
A `DistributionStrategy` object. Inside a
`with distribution_strategy.scope()` block, it returns
`distribution_s... | 4a20795c098c6b7ad8e7e1f6f42fead24c55e771 | 38,715 |
def exists_project_slug(slug):
"""
Whether the slug has been taken by an existing project of any
kind.
"""
return bool(ActiveProject.objects.filter(slug=slug)
or ArchivedProject.objects.filter(slug=slug)
or PublishedProject.objects.filter(slug=slug)) | ce2baf58cab1227b9a1a480c1fed0c2ba8da235f | 38,716 |
import logging
def main(args):
"""
Main entry point for program
:param args:
:return:
"""
desc = """
Version {version}
Annotates NDEx with INDRA and optionally loads networks into
NDEx (http://ndexbio.org).
To connect to NDEx server a configuration file must be passed
... | 243d65d41f92615bd87a41db52097b7873193099 | 38,717 |
def merge_dupes(list_cxs, cutoff, func=cp.bader_score, npasses=1):
"""
cxs: list of sets
Requires multiple passes to be more certain of fewer complex pairs passing
the merge threshold. But higher passes results in overcollapse when cutoff
< 1.
"""
cxs = list(list_cxs)
cxs_remaining = lis... | e397ccfa2715882ab200be5a66767197b9e8eb97 | 38,719 |
import re
def convertSQL_LIKE2REGEXP(sql_like_pattern):
"""Convert a standard SQL LIKE pattern to a REGEXP pattern.
Function that transforms a SQL LIKE pattern to a supported python
regexp. Returns a python regular expression (i.e. regexp).
sql_like_pattern[in] pattern in the SQL LIKE form to be con... | 16589a99327885dc034fb33af1e69a42a453ccbd | 38,720 |
from typing import Any
def diag(tensor: ChargeArray) -> Any:
"""
Return a diagonal `BlockSparseTensor` from a `ChargeArray`, or
return the diagonal of a `BlockSparseTensor` as a `ChargeArray`.
For input of type `BlockSparseTensor`:
The full diagonal is obtained from finding the diagonal blocks of the
... | 996cea2164d867fa67812fac8f156d4851eaaf6e | 38,721 |
import math
def box_heightmap(box: BoxCorner, hm: HeightMap, qp_a: QP, qp_b: QP) -> Contact:
"""Returns contact between a box corner and a height map."""
# Note that this only checks box corners against height map surfaces, and is
# missing box planes against height map points.
pos, vel = qp_a.to_world(box.co... | ac7e63eba9c29fa945710aa05a958f97083a7804 | 38,723 |
def rjmcmc_chisq_convergence(k, thin=1, sparse=False,
split=True, merge_cells=True,
correction=True,
use_likelihood_ratio=False,
class_lookup=None,
min_expected_count=5):
... | a91033ce32dc164591cd070144e8da0b99a50f37 | 38,724 |
def remove_vars_match(mat,fmla):
""" Remove the variables bindings from a match. This is used to
prevent variable capture when applying the match to premises. Make sure free variables
are not captured by fmla """
res = dict((s,v) for s,v in mat.iteritems() if il.is_ui_sort(s))
sympairs = [(s,v) for ... | ed8082e28ee5195a7d8a6f3a54d510509759b477 | 38,725 |
def str_exp(exp, ak, den, diff=0.05):
"""
Function that returns a string k^(a/den) if the absolute difference between
the value a/den and the exponent ak is below diff.
Arguments:
exp -- initial string (given by the previous best estimation)
ak -- slope
den -- denominator of th... | deb5c74a938b81bb10f81724bcd50c7c683e901c | 38,726 |
from re import T
def stack(x, axis=0):
"""Join a sequence of tensors along a new axis """
return T.stack(x, axis=axis) | 76dd3b65db7d3011ba5d223104a686ee5ed9e219 | 38,728 |
import typing
def or_value(
maybe_value: typing.Optional[typing.Any],
fallback_value: typing.Any,
) -> typing.Any:
"""Return maybe_value if not None; otherwise, return fallback_value.
Parameters
----------
maybe_value
The value to test and return if it is not None.
fallback_value
... | 6f67fac29fb56b68ef5701a30b0fd6527fb1cc1b | 38,729 |
def form_from_fields(name, form=forms.Form, fields={}):
"""
Returns a forms.Form class with a name, `name`, a Form baseclass, `form`, and
a dictionary of fields, `fields`.
"""
return DeclarativeFieldsMetaclass(name, (form,), fields) | 16d355a14257b430b1eb802ca7b4996562351f48 | 38,731 |
def make_enumeration(entries, divider=', '):
"""
:param entries:
:param divider:
:return:
"""
enumeration = {
'type': 'enumeration',
'entries': entries,
'divider': divider
}
return enumeration | 0fee40bf69613944b57f2d1967ee0cdb87e7493b | 38,732 |
def list_available_node_types():
"""returns the friendly names of all available node types
"""
return list(type_map.keys()) | f51536b4a399f6dd73a491f6cf48f954946a1ef3 | 38,733 |
def h(P, T, region = 0):
"""Specific enthalpy [kJ / kg]"""
if region is 0:
region = idRegion(P, T)
if region is 1:
return region1.h(P, T)
elif region is 2:
return region2.h(P, T)
else:
return 0.000 | 6b38283b79eb6bc63088885aac5e0096c37064bd | 38,735 |
def instagram_posts(username, limit=12):
"""
Put a list of Instagram posts into the template context.
"""
CACHE_KEY = "instagram_%s" % username
posts = cache.get(CACHE_KEY)
# Serve from cache if available
if posts is not None:
return posts[:limit]
# Else, fetch and store in cac... | e8f9c94fa5d472921c271cd8f30b36d293139a54 | 38,736 |
def establish_connection() -> storage.client.Client:
"""
Establish a connection to Google Cloud Storage storing agriculture data.
:return: client connection
"""
storage_client = storage.Client.from_service_account_json(find('Agriculture.json', '/home'))
return storage_client | e2409745ddc0174f2feb242789de437998f1170b | 38,738 |
def is_authenticated_decorator(function):
"""Декоратор, чтобы не пускать неавторизованных пользователей"""
def wrapper(request, *args, **kwargs):
"""Если пользователь авторизован -> вернем функцию, иначе переведем на страницу логина"""
if is_authenticated_user(request):
return functi... | 2a5f894dc45abcecd8bf4591116d90bc18cb1d42 | 38,739 |
def preprocess_text(sentence):
"""
前處理，處理奇怪的輸入。例如：'i'，需要轉成大寫。
"""
cleaned = []
words = sentence.split(' ')
for w in words:
if w == 'i':
w = 'I'
if w == "i'm":
w = "I'm"
cleaned.append(w)
return ' '.join(cleaned) | b70bf2f454dba8de6bf639f66369755bcf474948 | 38,740 |
def compact(number):
"""Convert the number to the minimal representation. This strips
surrounding whitespace and separation dash."""
return clean(number, '.,- ').upper().strip() | 2b1471cdc8d524bf02d18719acb708ebbe8cdd13 | 38,742 |
def draw_candidate_matchings(members, min_size, n_candidates, initial_seed=0):
"""Create multiple random groupings in list-format.
Args:
members (pd.Series): Integer series with indeces over which we group.
min_size (int): Minimum group size.
n_candidates (int): Number of candidate grou... | a927242dcb130e1b881605f595961d777a7bc7d3 | 38,745 |
def get_module_name():
"""
モジュール名取得
Return:
モジュール名
"""
return __name__ | 45836eb290ff628baf9082829b9e95d9d4e45d78 | 38,746 |
import torch
def torch_ravel_multi_index(multi_index, dims=None, device=None, strides_=None):
"""
Implementation of `numpy.ravel_multi_index` for torch Tensors
Args:
multi_index (List[Tensor] | Tensor) : either a list of indices for
each dimension, or a tensor containing the same infor... | d7f79c6266b75aab29974e698e5d62ef6319f952 | 38,747 |
def get_base_folder(image_file):
"""The base folder"""
return '/'.join(image_file.split('/')[:-6]) | 14f212e80d57b71d2b379d2f5024c8f89ea438f3 | 38,748 |
def parse(fname):
"""
XMLファイルから内容をパースしてフィールドと値を格納した辞書を返す
"""
tree = ET.parse(fname)
root = tree.getroot()
parsed = []
for e in root.getiterator():
cur_dict = e.attrib.copy()
cur_dict['elem'] = e.tag
parsed.append(cur_dict)
# for child in root:
# ... | 89ea2c62c64f09be9a99c0bd86b83854c83d4c20 | 38,749 |
import tqdm
def optimization_hyperopt_loo(imgs, grades, args, loss, groups=None):
"""Optimizes hyperparameters for MRELBP and local standardization using tree of Parzen estimators
and leave-one-out split for training multiple optimizations.
Parameters
----------
imgs : list
List of input ... | 8935728576840238fdb8694612c2015de01fd071 | 38,751 |
def latex_plt(matplotlib):
""" This function updates the matplotlib library to use Latex and changes some default plot parameters
:param matplotlib: Matplotlib instance
:return: Updated matplotlib instance
"""
# Use Latex for matplotlib
pgf_with_latex = {
"font.family": "serif",
... | 06042b9625d6cf1a7d56144962ae0795f1f73e34 | 38,752 |
def _str_n_grade(df: pd.DataFrame, grade: str) -> str:
"""Print the number of cards with grade `grade`."""
n_cards = len(df)
n_grade = len(df[(df["grade"]) == grade])
perc = round((n_grade / n_cards) * 100, 2)
return (
f"– The number of cards with grade {grade} is {n_grade} "
f"of {... | 91cee7bb1f8faae1cf60c279b95d1cca7912fb19 | 38,753 |
def add_nodes_elements_from_bmesh(structure, bmesh, line_type=None, mesh_type=None, thermal=False):
"""
Adds the Blender mesh's nodes, edges and faces to the Structure object.
Parameters
----------
structure : obj
Structure object to update.
bmesh : obj
Blender mesh object.
... | d91515963245554df2c5a09a2a0b2827c13e5314 | 38,754 |
from datetime import datetime
def _makefilename(lidvid: str, ts: datetime, kind: str, ext: str) -> str:
"""Make a filename.
Make a PDS filename for the given ``lidvid`` by dropping its URN prefix, splitting it into
LID and VID, adding the date part of the ``ts`` timestamp, slapping on the ``kind`` of fil... | 6d9cc048ccb61d51c1ee328edc8da15a2ae3797f | 38,755 |
import logging
def extract(client, output_path, index):
"""
Scroll an index with a match-all query, dumping document source to ``outdir/documents.json``.
:param client: Elasticsearch client used to extract data
:param output_path: Destination directory for corpus dump
:param index: Name of index ... | 089abc87d722adb000d9db4c7f125ee21e12aa3d | 38,756 |
from astroquery.gaia import Gaia
import getpass
def gaia_log_in(gaia_user = None, gaia_paswd = None):
"""
This routine log in to the Gaia archive.
"""
while True:
try:
Gaia.login(user=gaia_user, password=gaia_paswd)
print("Welcome to the Gaia server!")
break
except... | 76d004d22ac981fc635279b70652c899c903a1c7 | 38,757 |
import re
def parse_class(name, doc):
"""
Extract a class declaration from a docstring.
"""
match = re.search(r"class ({}(\([^)]*\))?):".format(name), doc)
csig = match.group(1)
start = match.start()
end = doc.find("```", start)
doc = doc[start:end]
variables = []
start = doc... | ed42aa330cf817df7fd35dced37b55010e38ff71 | 38,758 |
def is_acceptable_smiles(smile: str, allowed_chars=SMILES_ENCODING_['indices_token'].values(),
min_len=SMILES_ENCODING_['min_smiles_len'], max_len=SMILES_ENCODING_['max_smiles_len']):
""" Checks which smiles
Args:
smile: (str) smiles string
allowed_chars: (lst) list of ... | 7bef7d266caf9bfd540cc1d53b99bbc887bca140 | 38,759 |
from typing import List
from typing import Union
def parse_planes(
planes_to_parse: List[Union[int, str]], n_planes: int, default: Union[int, List[int]] = 0,
name: str = 'planes'
) -> List[int]:
"""
Get a set of planes from a list of plane indexes and ranges.
Parameters
----------
planes_... | 5bed291bf525fe06a709563f73490277aff6a600 | 38,760 |
def get_api(api_id):
"""Get a single api.
Args:
api_id (int): The id of the api.
Returns:
dict: The api.
"""
api = API.query.get(api_id)
if not api:
abort(404)
return api.to_dict() | 3031ff5ad6b0b0eaa0f57d9c1a1e706a08afa246 | 38,761 |
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