content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def load_structure(query, reduce=True, strip='solvent&~@/pseudoBonds'):
"""
Load a structure in Chimera. It can be anything accepted by `open` command.
Parameters
==========
query : str
Path to molecular file, or special query for Chimera's open (e.g. pdb:3pk2).
reduce : bool
Ad... | d91ceeba36eb04e33c238ab2ecb88ba2cc1928c7 | 3,657,342 |
from re import T
def is_into_keyword(token):
"""
INTO判定
"""
return token.match(T.Keyword, "INTO") | 337fb0062dc4288aad8ac715efcca564ddfad113 | 3,657,343 |
from typing import Union
def exp(
value: Union[Tensor, MPCTensor, int, float], iterations: int = 8
) -> Union[MPCTensor, float, Tensor]:
"""Approximates the exponential function using a limit approximation.
exp(x) = lim_{n -> infty} (1 + x / n) ^ n
Here we compute exp by choosing n = 2 ** d for some ... | 9cfbb63d39d41e92b506366244ec6e77d52162b2 | 3,657,344 |
def isDllInCorrectPath():
"""
Returns True if the BUFFY DLL is present and in the correct location (...\<BTS>\Mods\<BUFFY>\Assets\).
"""
return IS_DLL_IN_CORRECT_PATH | ea31391d41ba04b27df70124a65fdb48791cce57 | 3,657,346 |
import time
def time_remaining(event_time):
"""
Args:
event_time (time.struct_time): Time of the event.
Returns:
float: Time remaining between now and the event, in
seconds since epoch.
"""
now = time.localtime()
time_remaining = time.mktime(event_time) - time.mkti... | cb3dfcf916cffc3b45f215f7642aeac8a1d6fef7 | 3,657,347 |
def _repeat(values, count):
"""Produces a list of lists suitable for testing interleave.
Args:
values: for each element `x` the result contains `[x] * x`
count: determines how many times to repeat `[x] * x` in the result
Returns:
A list of lists of values suitable for testing interleave.
"""
ret... | 46aa7899e7ed536525b7a94675edf89958f6f37f | 3,657,348 |
from functools import reduce
def P2D_l_TAN(df, cond, attr): # P(attr | 'target', cond)
"""Calcule la probabilité d'un attribut sachant la classe et un autre attribut.
Parameters
----------
df : pandas.DataFrame
La base d'examples.
cond : str
Le nom de l'attribut conditionnant.
... | 88affcaea0368c400ccd25356d97a25c9a88a15e | 3,657,349 |
def has_no_jump(bigram, peaks_groundtruth):
"""
Tell if the two components of the bigram are same or successive in the sequence of valid peaks or not
For exemple, if groundtruth = [1,2,3], [1,1] or [2,3] have no jump but [1,3] has a jump.
bigram : the bigram to judge
peaks_groundtruth : the lis... | e334c389436d5cda2642f8ac7629b64074dcd0e0 | 3,657,350 |
import base64
def Base64WSDecode(s):
"""
Return decoded version of given Base64 string. Ignore whitespace.
Uses URL-safe alphabet: - replaces +, _ replaces /. Will convert s of type
unicode to string type first.
@param s: Base64 string to decode
@type s: string
@return: original string that was encod... | 67db2d3f298e0220411f224299dcb20feeba5b3e | 3,657,351 |
def make_window():
"""create the window"""
window = Tk()
window.title("Pac-Man")
window.geometry("%dx%d+%d+%d" % (
WINDOW_WIDTH,
WINDOW_HEIGHT,
X_WIN_POS,
Y_WIN_POS
)
)
window = window
return window | 1e9ecb5acf91e75797520c54be1087d24392f190 | 3,657,352 |
def hasf(e):
"""
Returns a function which if applied with `x` tests whether `x` has `e`.
Examples
--------
>>> filter(hasf("."), ['statement', 'A sentence.'])
['A sentence.']
"""
return lambda x: e in x | ac9ce7cf2ed2ee8a050acf24a8d0a3b95b7f2d50 | 3,657,354 |
def borehole_model(x, theta):
"""Given x and theta, return matrix of [row x] times [row theta] of values."""
return f | 9ccfd530ff162d5f2ec786757ec03917f3367635 | 3,657,355 |
def findNodesOnHostname(hostname):
"""Return the list of nodes name of a (non-dmgr) node on the given hostname, or None
Function parameters:
hostname - the hostname to check, with or without the domain suffix
"""
m = "findNodesOnHostname:"
nodes = []
for nodename in listNodes():... | 3a4f28d5fa8c72388cb81d40913e517d343834f0 | 3,657,356 |
def MakeControlClass( controlClass, name = None ):
"""Given a CoClass in a generated .py file, this function will return a Class
object which can be used as an OCX control.
This function is used when you do not want to handle any events from the OCX
control. If you need events, then you should derive a class from... | 634544543027b1870bb72544517511d4f7b08e39 | 3,657,357 |
def obtenTipoNom(linea):
""" Obtiene por ahora la primera palabra del título, tendría que regresar de que se trata"""
res = linea.split('\t')
return res[6].partition(' ')[0] | 73edc42c5203b7ebd0086876096cdd3b7c65a54c | 3,657,358 |
def histogramfrom2Darray(array, nbins):
"""
Creates histogram of elements from 2 dimensional array
:param array: input 2 dimensional array
:param nbins: number of bins so that bin size = (maximum value in array - minimum value in array) / nbins
the motivation for returning this array is for th... | 2c377b926b4708b6a6b29d400ae82b8d2931b938 | 3,657,359 |
def build_pert_reg(unsupervised_regularizer, cut_backg_noise=1.0,
cut_prob=1.0, box_reg_scale_mode='fixed',
box_reg_scale=0.25, box_reg_random_aspect_ratio=False,
cow_sigma_range=(4.0, 8.0), cow_prop_range=(0.0, 1.0),):
"""Build perturbation regularizer."""
i... | 37d60049146c876d423fea6615cf43975f1ae389 | 3,657,360 |
def part_5b_avg_std_dev_of_replicates_analysis_completed(*jobs):
"""Check that the initial job data is written to the json files."""
file_written_bool_list = []
all_file_written_bool_pass = False
for job in jobs:
data_written_bool = False
if job.isfile(
f"../../src/engines/go... | f238382e18de32b86598d5daa13f92af01311d3d | 3,657,361 |
def exportFlatClusterData(filename, root_dir, dataset_name, new_row_header,new_column_header,xt,ind1,ind2,display):
""" Export the clustered results as a text file, only indicating the flat-clusters rather than the tree """
filename = string.replace(filename,'.pdf','.txt')
export_text = export.ExportFi... | f9ade521b67c87518741fb56fb1c80df0961065a | 3,657,362 |
def indent_multiline(s: str, indentation: str = " ", add_newlines: bool = True) -> str:
"""Indent the given string if it contains more than one line.
Args:
s: String to indent
indentation: Indentation to prepend to each line.
add_newlines: Whether to add newlines surrounding the result... | 62eb2fc7c3f3b493a6edc009692f472e50e960f7 | 3,657,363 |
from typing import Optional
def _get_property(self, key: str, *, offset: int = 0) -> Optional[int]:
"""Get a property from the location details.
:param key: The key for the property
:param offset: Any offset to apply to the value (if found)
:returns: The property as an int value if found, None other... | 8d2c35a88810db5255cfb0ca9d7bfa6345ff3276 | 3,657,364 |
def pca_normalization(points):
"""Projects points onto the directions of maximum variance."""
points = np.transpose(points)
pca = PCA(n_components=len(np.transpose(points)))
points = pca.fit_transform(points)
return np.transpose(points) | 753bea2546341fc0be3e7cf4fd444b3ee93378f9 | 3,657,365 |
def _reformTrend(percs, inits):
"""
Helper function to recreate original trend based on percent change data.
"""
trend = []
trend.append(percs[0])
for i in range(1, len(percs)):
newLine = []
newLine.append(percs[i][0]) #append the date
for j in range(1, len(percs[i])): #for each term on date
level =... | 1f6c8bbb4786b53ea2c06643108ff50691b6f89c | 3,657,366 |
def PET_initialize_compression_structure(N_axial,N_azimuthal,N_u,N_v):
"""Obtain 'offsets' and 'locations' arrays for fully sampled PET compressed projection data. """
descriptor = [{'name':'N_axial','type':'uint','value':N_axial},
{'name':'N_azimuthal','type':'uint','value':N_azimuthal},
... | 1f879517182462d8b66886aa43a4103a05a5b6f9 | 3,657,367 |
def get_client_from_user_settings(settings_obj):
"""Same as get client, except its argument is a DropboxUserSettingsObject."""
return get_client(settings_obj.owner) | 4b2c2e87310464807bf6f73d1ff8d7b7c21731ff | 3,657,368 |
def train_student(
model,
dataset,
test_data,
test_labels,
nb_labels,
nb_teachers,
stdnt_share,
lap_scale,
):
"""This function trains a student using predictions made by an ensemble of
teachers. The student and teacher models are trained using the same neural
network architec... | de8db38bde151f5dd65b93a0c8a44c2289351f81 | 3,657,369 |
import numpy
def create_transition_matrix_numeric(mu, d, v):
"""
Use numerical integration.
This is not so compatible with algopy because it goes through fortran.
Note that d = 2*h - 1 following Kimura 1957.
The rate mu is a catch-all scaling factor.
The finite distribution v is assumed to be ... | a60a3da34089fffe2a48cc282ea4cbb528454fd6 | 3,657,370 |
def channelmap(stream: Stream, *args, **kwargs) -> FilterableStream:
"""https://ffmpeg.org/ffmpeg-filters.html#channelmap"""
return filter(stream, channelmap.__name__, *args, **kwargs) | 8293e9004fd4dfb7ff830e477dcee4de5d163a5d | 3,657,372 |
def test_token(current_user: DBUser = Depends(get_current_user)):
"""
Test access-token
"""
return current_user | 1ceb90c1321e358124520ab5b1b1ecb07de4619d | 3,657,373 |
def process_label_imA(im):
"""Crop a label image so that the result contains
all labels, then return separate images, one for
each label.
Returns a dictionary of images and corresponding
labels (for choosing colours), also a scene bounding
box. Need to run shape statistics to determine
the n... | 66e89e84d773d102c8fe7a6d10dd0604b52d9862 | 3,657,375 |
def render_graphs(csv_data, append_titles=""):
"""
Convenience function. Gets the aggregated `monthlies` data from
`aggregate_monthly_data(csv_data)` and returns a dict of graph
titles mapped to rendered SVGs from `monthly_total_precip_line()`
and `monthly_avg_min_max_temp_line()` using the `monthli... | c2258faf759c2fd91e55fea06384d5f7ec030154 | 3,657,376 |
import traceback
def _get_location():
"""Return the location as a string, accounting for this function and the parent in the stack."""
return "".join(traceback.format_stack(limit=STACK_LIMIT + 2)[:-2]) | f36037a440d2e8f3613beed217a758bc0cfa752d | 3,657,377 |
def start_session():
"""do nothing here
"""
return Response.failed_response('Error') | b8c58ec837c5a77c35cb6682c6c405489cf512c0 | 3,657,379 |
def _combine_keras_model_with_trill(embedding_tfhub_handle, aggregating_model):
"""Combines keras model with TRILL model."""
trill_layer = hub.KerasLayer(
handle=embedding_tfhub_handle,
trainable=False,
arguments={'sample_rate': 16000},
output_key='embedding',
output_shape=[None, 2048]... | 97bf695e6b083dfefcad1d2c8ac24b54687047fd | 3,657,380 |
def phases(times, names=[]):
""" Creates named phases from a set of times defining the edges of hte intervals """
if not names: names = range(len(times)-1)
return {names[i]:[times[i], times[i+1]] for (i, _) in enumerate(times) if i < len(times)-1} | 0e56dcf57a736e4555cae02b8f79b827c17e1d38 | 3,657,381 |
def smesolve(H, rho0, times, c_ops=[], sc_ops=[], e_ops=[],
_safe_mode=True, args={}, **kwargs):
"""
Solve stochastic master equation. Dispatch to specific solvers
depending on the value of the `solver` keyword argument.
Parameters
----------
H : :class:`qutip.Qobj`, or time depen... | 4a27d54d2ca390bb3e4ac88ec2119633481df529 | 3,657,382 |
def harmonic_vector(n):
"""
create a vector in the form [1,1/2,1/3,...1/n]
"""
return np.array([[1.0 / i] for i in range(1, n + 1)], dtype='double') | 6f2a94e0a54566db614bb3c4916e1a8538783862 | 3,657,383 |
import copy
def get_install_task_flavor(job_config):
"""
Pokes through the install task's configuration (including its overrides) to
figure out which flavor it will want to install.
Only looks at the first instance of the install task in job_config.
"""
project, = job_config.get('project', 'c... | 11fcefe3df17acfbce395949aa615d8292585fb6 | 3,657,384 |
def equalize_hist(image, nbins=256):
"""Return image after histogram equalization.
Parameters
----------
image : array
Image array.
nbins : int
Number of bins for image histogram.
Returns
-------
out : float array
Image array after histogram equalization.
N... | ea990cee9bef0e2edc41e2c5279f52b98d2a4d89 | 3,657,385 |
def add9336(rh):
"""
Adds a 9336 (FBA) disk to virtual machine's directory entry.
Input:
Request Handle with the following properties:
function - 'CHANGEVM'
subfunction - 'ADD9336'
userid - userid of the virtual machine
parms['diskPool'] - Disk pool
... | bb7168d5b0ee084b15e8ef91633d5554669cf83f | 3,657,386 |
def get_related(user, kwargs):
"""
Get related model from user's input.
"""
for item in user.access_extra:
if item[1] in kwargs:
related_model = apps.get_model(item[0], item[1])
kwargs[item[1]] = related_model.objects.get(pk=get_id(kwargs[item[1]]))
return kwargs | 6b2ce081d1f61da734d26ef6f3c25e4da871b9ee | 3,657,388 |
def make_logical(n_tiles=1):
"""
Make a toy dataset with three labels that represent the logical functions: OR, XOR, AND
(functions of the 2D input).
"""
pat = np.array([
# X X Y Y Y
[0, 0, 0, 0, 0],
[0, 1, 1, 1, 0],
[1, 0, 1, 1, 0],
[1, 1, 1, 0, ... | e2d936db7ae0d9ea8b0f1654e89a32b5b8c247cc | 3,657,389 |
def get_idmap_etl(
p_idmap: object,
p_etl_id: str,
p_source_table: object =None
):
"""
Генерирует скрипт ETL для таблицы Idmap
:param p_idmap: объект класса Idmap
:param p_etl_id: id etl процесса
:param p_source_table: таблица источник, которую требуется загрузить в idmap
... | 0e24b4cbb5ea935c871cae3338094292c9ebfd02 | 3,657,390 |
def gs_tie(men, women, preftie):
"""
Gale-shapley algorithm, modified to exclude unacceptable matches
Inputs: men (list of men's names)
women (list of women's names)
pref (dictionary of preferences mapping names to list of sets of preferred names in sorted order)
Output: dictiona... | b5dbe7047e3e6be7f0d288e49f8dae25a94db318 | 3,657,391 |
def is_iterable(value):
"""Return True if the object is an iterable type."""
return hasattr(value, '__iter__') | 55e1ecc9b264d39aaf5cfcbe89fdc01264191d95 | 3,657,392 |
def get_search_app_by_model(model):
"""
:returns: a single search app (by django model)
:param model: django model for the search app
:raises LookupError: if it can't find the search app
"""
for search_app in get_search_apps():
if search_app.queryset.model is model:
return se... | 0670fe754df65b02d5dfc502ba3bd0a3a802370c | 3,657,393 |
def prct_overlap(adata, key_1, key_2, norm=False, ax_norm="row", sort_index=False):
"""
% or cell count corresponding to the overlap of different cell types
between 2 set of annotations/clusters.
Parameters
----------
adata: AnnData objet
key_1: observational key corresponding to one ce... | 77a8382af77e8842a99211af58d6a6f85de6a50e | 3,657,394 |
def keep_category(df, colname, pct=0.05, n=5):
""" Keep a pct or number of every levels of a categorical variable
Parameters
----------
pct : float
Keep at least pct of the nb of observations having a specific category
n : int
Keep at least n of the variables having a specific categ... | 3db00aa6bdea797827a693c8e12bbf942a55ec35 | 3,657,395 |
def remove_scope_from_name(name, scope):
"""
Args:
name (str): full name of the tf variable with all the scopes
Returns:
(str): full name of the variable with the scope removed
"""
result = name.split(scope)[1]
result = result[1:] if result[0] == '/' else result
return resul... | aa70042a2f57185a0f5e401d182a02e5654eb2b0 | 3,657,396 |
async def get_timers_matching(ctx, name_str, channel_only=True, info=False):
"""
Interactively get a guild timer matching the given string.
Parameters
----------
name_str: str
Name or partial name of a group timer in the current guild or channel.
channel_only: bool
Whether to ma... | 48e94d2930f48b47b033ec024246065206a2bebb | 3,657,397 |
import random
def comprehension_array(size=1000000):
"""Fills an array that is handled by Python via list comprehension."""
return [random() * i for i in range(size)] | e3ccdc992e5b741cf6f164c93d36f2e45d59a590 | 3,657,398 |
def alignment(alpha, p, treatment):
"""Alignment confounding function.
Reference: Blackwell, Matthew. "A selection bias approach to sensitivity analysis
for causal effects." Political Analysis 22.2 (2014): 169-182.
https://www.mattblackwell.org/files/papers/causalsens.pdf
Args:
alpha (np.a... | 8097dbcd62ba934b31b1f8a9e72fd906109b5181 | 3,657,399 |
def percentiles(a, pcts, axis=None):
"""Like scoreatpercentile but can take and return array of percentiles.
Parameters
----------
a : array
data
pcts : sequence of percentile values
percentile or percentiles to find score at
axis : int or None
if not None, computes scor... | 0e7217ec3e36a361a6747729543cd694912a2874 | 3,657,400 |
import json
def single_request(gh,kname='CVE exploit',page=1,per_page=50):
"""
解析单页仓库数据，获取CVE和exp标记
:return cve_list:list, cve id in each page by searching github.com
"""
cve=dict()
url="https://api.github.com/search/repositories?q={key_name}&sort=updated&order=desc&page={page}&per_page={per_p... | 5fdd3fe28f0e973fb9d854e20b8ce77ed109d3c6 | 3,657,401 |
def stuff_context(sites, rup, dists):
"""
Function to fill a rupture context with the contents of all of the
other contexts.
Args:
sites (SiteCollection): A SiteCollection object.
rup (RuptureContext): A RuptureContext object.
dists (DistanceContext): A DistanceContext object.... | 9c197a41414a875942a6df22c03899c3e936967f | 3,657,403 |
def number_to_float(value):
"""The INDI spec allows a number of different number formats, given any, this returns a float
:param value: A number string of a float, integer or sexagesimal
:type value: String
:return: The number as a float
:rtype: Float
"""
# negative is True, if the value i... | 8b754a32848b3e697e0f82dbee4a1c35c560f1be | 3,657,404 |
def spg_line_search_step_length(current_step_length, delta, f_old, f_new,
sigma_one=0.1, sigma_two=0.9):
"""Return next step length for line search."""
step_length_tmp = (-0.5 * current_step_length ** 2 * delta /
(f_new - f_old - current_step_length * delt... | 844cccdfe1ec3f9c2c287384284ceb2ac3530e8e | 3,657,405 |
def calc_pv_invest(area, kw_to_area=0.125, method='EuPD'):
"""
Calculate PV investment cost in Euro
Parameters
----------
area : float
Photovoltaic area
kw_to_area : float , optional
Ratio of peak power to area (default: 0.125)
For instance, 0.125 means 0.125 kWp / m2 ar... | 2de9ee05580bc9d41522272a06cd97aaf3f5bc55 | 3,657,407 |
def samps2ms(samples: float, sr: int) -> float:
"""samples to milliseconds given a sampling rate"""
return (samples / sr) * 1000.0 | 49e07ee02984bf0e9a0a54715ef6b6e5a3c87798 | 3,657,409 |
def nice_year(dt, lang=None, bc=False):
"""Format a datetime to a pronounceable year.
For example, generate 'nineteen-hundred and eighty-four' for year 1984
Args:
dt (datetime): date to format (assumes already in local timezone)
lang (string): the language to use, use Mycroft default langua... | 641195195023ecca030f6cd8d12ff9a3fc9c989c | 3,657,410 |
def get_results(job_id):
"""
Get the result of the job based on its id
"""
try:
job = Job.fetch(job_id, connection=conn)
if job.is_finished:
return jsonify({
"status": "finished",
"data": job.result
}), 200
elif job.is_f... | ada9042cd4d7961415ec274a68631f6e9af81fad | 3,657,411 |
def get_clean_dict(obj: HikaruBase) -> dict:
"""
Turns an instance of a HikaruBase into a dict without values of None
This function returns a Python dict object that represents the hierarchy
of objects starting at ``obj`` and recusing into any nested objects.
The returned dict **does not** include ... | 3daca47b6d8c42fca8856221f39b635791eb0fce | 3,657,412 |
def generate_html_frieze(type, value):
"""
Gets the data to be able to generate the frieze.
Calls the function to actually generate HTML.
Input:
- Type (session or dataset) of the second input
- A SQLAlchemy DB session or a dataset (list of mappings)
Output:
- The HTML to be... | ddf914d9d710e60af48a6dc687a9e3961ab0cf94 | 3,657,413 |
from typing import Optional
import re
def instantiate_model(model_to_train: str,
dataset_directory: str,
performance_directory: str,
gpu: Optional[bool] = None):
"""
A function to create the instance of the imported Class,
Classifier.
Ar... | 8053053b5e77f1c74404826e7335b05bece8b99f | 3,657,415 |
def generate_hmac_key():
"""
Generates a key for use in the :func:`~securitylib.advanced_crypto.hmac` function.
:returns: :class:`str` -- The generated key, in byte string.
"""
return generate_secret_key(HMAC_KEY_MINIMUM_LENGTH) | 877cf9fbe56b6715f1744839ce83ac1abf9d7da8 | 3,657,416 |
def uscensus(location, **kwargs):
"""US Census Provider
Params
------
:param location: Your search location you want geocoded.
:param benchmark: (default=4) Use the following:
> Public_AR_Current or 4
> Public_AR_ACSYYYY or 8
> Public_AR_Census2010 or 9
:param vintage: (... | bd73acb87f27e3f14d0b1e22ebd06b91fcec9d85 | 3,657,418 |
def reco_source_position_sky(cog_x, cog_y, disp_dx, disp_dy, focal_length, pointing_alt, pointing_az):
"""
Compute the reconstructed source position in the sky
Parameters
----------
cog_x: `astropy.units.Quantity`
cog_y: `astropy.units.Quantity`
disp: DispContainer
focal_length: `astrop... | 14b7fee325bc8a571a13d257f046cd0e7bf838db | 3,657,420 |
def segment_annotations(table, num, length, step=None):
""" Generate a segmented annotation table by stepping across the audio files, using a fixed
step size (step) and fixed selection window size (length).
Args:
table: pandas DataFrame
Annotation table.
... | 4b1bb8298113b43716fcd5f7d2a27b244f63829c | 3,657,421 |
def get_vdw_style(vdw_styles, cut_styles, cutoffs):
"""Get the VDW_Style section of the input file
Parameters
----------
vdw_styles : list
list of vdw_style for each box, one entry per box
cut_styles : list
list of cutoff_style for each box, one entry per box. For a
box with... | 5cd0825d73e11c4fcb8ecce0526493414842697c | 3,657,422 |
def freduce(x, axis=None):
"""
Reduces a spectrum to positive frequencies only
Works on the last dimension (contiguous in c-stored array)
:param x: numpy.ndarray
:param axis: axis along which to perform reduction (last axis by default)
:return: numpy.ndarray
"""
if axis is None:
... | 8d13e66a18ef950422af49a68012605cf0d03947 | 3,657,424 |
import json
def sort_shipping_methods(request):
"""Sorts shipping methods after drag 'n drop.
"""
shipping_methods = request.POST.get("objs", "").split('&')
assert (isinstance(shipping_methods, list))
if len(shipping_methods) > 0:
priority = 10
for sm_str in shipping_methods:
... | 307ecef020ac296982a7006ce1392cb807461546 | 3,657,426 |
def appendRecordData(record_df, record):
"""
Args:
record_df (pd.DataFrame):
record (vcf.model._Record):
Returns:
(pd.DataFrame): record_df with an additional row of record (SNP) data.
"""
# Alternate allele bases
if len(record.ALT) == 0:
alt0, alt1 = n... | 0904b317e1925743ed9449e1fcb53aaafa2ffc81 | 3,657,427 |
def get_removed_channels_from_file(fn):
"""
Load a list of removed channels from a file.
Raises
------
* NotImplementedError if the file format isn't supported.
Parameters
----------
fn : str
Filename
Returns
-------
to_remove : list of str
List of channels... | ac3cbeb83c7f1305adf343ce26be3f70f8ae48e8 | 3,657,428 |
def invertHomogeneous(M, range_space_homogeneous=False, A_property=None):
""" Return the inverse transformation of a homogeneous matrix.
A homogenous matrix :math:`M` represents the transformation :math:`y = A x + b`
in homogeneous coordinates. More precisely,
..math:
M \tilde{x} = \left[ \begi... | ea9039c935c82686291145652f762eb79404e417 | 3,657,429 |
import requests
def show_department(department_id):
"""
Returns rendered template to show department with its employees.
:param department_id: department id
:return: rendered template to show department with its employees
"""
url = f'{HOST}api/department/{department_id}'
department = reque... | 170318ea40a4f7355fab77f2aeaaad682b9fab2f | 3,657,431 |
def archive_scan():
"""
Returns converted to a dictionary of functions to apply to parameters of archive_scan.py
"""
# Dictionary of default values setter, type converters and other applied functions
d_applied_functions = {
'favor': [bool_converter, favor_default],
'cnn': [bool_conve... | 71aa3d2c17e880a152529de09b0614dfd619e7da | 3,657,432 |
def esOperador(o):
""""retorna true si 'o' es un operador"""
return o == "+" or o == "-" or o == "/" or o == "*" | 7e1088b641dee7cad2594159c4a34cf979362458 | 3,657,433 |
def valid_identity(identity):
"""Determines whether or not the provided identity is a valid value."""
valid = (identity == "homer") or (identity == "sherlock")
return valid | 9865d19802b596d1d5fdce6ff8d236678da29ee6 | 3,657,434 |
def is_align_flow(*args):
"""
is_align_flow(ea) -> bool
"""
return _ida_nalt.is_align_flow(*args) | 40aa1fb7d86083bc3ace94c6913eb9b4b5ab200e | 3,657,435 |
import time
def avro_rdd(ctx, sqlContext, hdir, date=None, verbose=None):
"""
Parse avro-snappy files on HDFS
:returns: a Spark RDD object
"""
if date == None:
date = time.strftime("year=%Y/month=%-m/day=%-d", time.gmtime(time.time()-60*60*24))
path = '%s/%s' % (hdir, date)
e... | caa923e4b6186e106a59764cbb61f908858acd70 | 3,657,436 |
import random
def generate_gesture_trace(position):
"""
生成手势验证码轨迹
:param position:
:return:
"""
x = []
y = []
for i in position:
x.append(int(i.split(',')[0]))
y.append(int(i.split(',')[1]))
trace_x = []
trace_y = []
for _ in range(0, 2):
tepx = [x[... | 3281cf9e99175190e2855ac98593f67473703c77 | 3,657,437 |
def mad_daub_noise_est(x, c=0.6744):
""" Estimate the statistical dispersion of the noise with Median Absolute
Deviation on the first order detail coefficients of the 1d-Daubechies
wavelets transform.
"""
try:
_, cD = pywt.wavedec(x, pywt.Wavelet('db3'), level=1)
except ValueError:
... | 3811d490e344cd4029e5b7f018823ad02c27e3dd | 3,657,439 |
import unicodedata
import re
def slugify(value, allow_unicode=False):
"""
Convert to ASCII if 'allow_unicode' is False. Convert spaces to hyphens.
Remove characters that aren't alphanumerics, underscores, or hyphens.
Convert to lowercase. Also strip leading and trailing whitespace.
From Django's ... | 3fc85ffec7faa3b4df2d1556dfd7b1d7c3e9920e | 3,657,440 |
import json
def get_categories() -> dict:
""" :return: dictionary with a hirachy of all categories """
with open("../src/categories.json", "r", encoding="utf-8") as f:
return json.load(f) | 90a442840550f3251137b2f9ff8fb5581d8d49e5 | 3,657,441 |
def get_ax(rows=1, cols=1, size=16):
"""Return a Matplotlib Axes array to be used in
all visualizations in the notebook. Provide a
central point to control graph sizes.
Adjust the size attribute to control how big to render images
"""
_, ax = plt.subplots(rows, cols, figsize=(size*cols, siz... | 97acc81878076c030287840a0bbacccbde0e50a8 | 3,657,443 |
def createSynthModel():
"""Return the modeling mesh, the porosity distribution and the
parametric mesh for inversion.
"""
# Create the synthetic model
world = mt.createCircle(boundaryMarker=-1, segments=64)
tri = mt.createPolygon([[-0.8, -0], [-0.5, -0.7], [0.7, 0.5]],
... | aa63ce6c8b633530efb17add4d902da30c62689c | 3,657,445 |
def edits_dir():
"""
Return the directory for the editable files (used by the
website).
"""
return _mkifnotexists("") | eb882c04e3269496a610103908453a73e4a7ae5f | 3,657,446 |
def convolve_hrf(X, onsets, durations, n_vol, tr, ops=100):
"""
Convolve each X's column iteratively with HRF and align with the timeline of BOLD signal
parameters:
----------
X[array]: [n_event, n_sample]
onsets[array_like]: in sec. size = n_event
durations[array_like]: in sec. size = n_ev... | d035b47ffafe0ac3d7e1446d4d36dc2f707363bd | 3,657,448 |
def flatten(x, params):
"""
Plain ol' 2D flatten
:param x: input tensor
:param params: {dict} hyperparams (sub-selection)
:return: output tensor
"""
return layers.Flatten()(x) | 6db829641681ab48f75b23894f9a4a3250250cec | 3,657,449 |
def xml_unescape(text):
""" Do the inverse of `xml_escape`.
Parameters
----------
text: str
The text to be escaped.
Returns
-------
escaped_text: str
"""
return unescape(text, xml_unescape_table) | 2e53d8bc617ad70fd22bb5dd82cd34db366b80a4 | 3,657,450 |
def tseb_pt(T_air, T_rad, u, p, z, Rs_1, Rs24, vza, zs,
aleafv, aleafn, aleafl, adeadv, adeadn, adeadl,
albedo, ndvi, lai, clump, hc, time, t_rise, t_end,
leaf_width, a_PT_in=1.32, iterations=35):
"""Priestley-Taylor TSEB
Calculates the Priestley Taylor TSEB fluxes using a s... | 6851b00f27b1819e79ce7ed625074c37ac35298f | 3,657,451 |
def GetPrivateIpv6GoogleAccessTypeMapper(messages, hidden=False):
"""Returns a mapper from text options to the PrivateIpv6GoogleAccess enum.
Args:
messages: The message module.
hidden: Whether the flag should be hidden in the choice_arg
"""
help_text = """
Sets the type of private access to Google ser... | 9aa87977be9d0888d572c70d07535c9ec0b9d8f4 | 3,657,452 |
def calc_director(moi):
""" Calculate the director from a moment of inertia.
The director is the dominant eigenvector of the MOI tensor
Parameters:
-----------
moi : list
3x3 array; MOItensor
Returns:
--------
director : list
3 element list of director vector
"""
... | 28f8b3446f83759704d426653dc8f7812e71e900 | 3,657,453 |
def _solve_upper_triangular(A, b):
""" Solves Ax=b when A is upper triangular. """
return solve_triangular(A, b, lower=False) | 5c33d5d10922172a133a478bdfdcb8cf7cd83120 | 3,657,454 |
def check_create_account_key(key):
"""
Returns the user_id if the reset key is valid (matches a user_id and that
user does not already have an account). Otherwise returns None.
"""
query = sqlalchemy.text("""
SELECT user_id
FROM members
WHERE create_account_key = :k
AND user_id NOT IN (SELEC... | b02a710d443410b5b60c31a030d056f3282a5747 | 3,657,455 |
def _crc16(data, start = _CRC16_START) :
"""Compute CRC16 for bytes/bytearray/memoryview data"""
crc = start
for b in data :
crc ^= b << 8
for _ in range(8) :
crc = ((crc << 1) & 0xFFFF) ^ _CRC16_POLY if crc & 0x8000 else (crc << 1)
return crc | e6e33471601d3126ac7873b61e23f843349e8e90 | 3,657,457 |
import json
def load_json():
"""Load the translation dictionary."""
try:
with open(JSON_FILENAME, "r", encoding="utf8") as file:
known_names = json.load(file)
if "version" in known_names:
if known_names.get("version") < JSON_VERSION:
print("U... | d263411d0c0aae7bba30f92c5af22dd7ff596542 | 3,657,458 |
def get_username() -> str:
"""
Prompts the user to enter a username and then returns it
:return: The username entered by the user
"""
while True:
print("Please enter your username (without spaces)")
username = input().strip()
if ' ' not in username:
return usernam... | 1a18a229908b86c32a0822c068b5b9081cc9fdc3 | 3,657,459 |
def condition(f):
"""
Decorator for conditions
"""
@wraps(f)
def try_execute(*args, **kwargs):
try:
res, m = f(*args, **kwargs)
m.conditions_results.append(res)
return m
except Exception as e:
raise ConditionError(e)
return try_ex... | fb05645861c7aa234f894cc8eee3689e1f1293c9 | 3,657,460 |
def get_spatial_anomalies(
coarse_obs_path, fine_obs_rechunked_path, variable, connection_string
) -> xr.Dataset:
"""Calculate the seasonal cycle (12 timesteps) spatial anomaly associated
with aggregating the fine_obs to a given coarsened scale and then reinterpolating
it back to the original spatial re... | 54dc830e9eb6b7440abf5857141ab369d8d45358 | 3,657,461 |
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