content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def kinetic_local(omega_par, disp_vector, passive_el, ind_passive, coord, connect, E, v, rho, const_func):
""" Calculates the local kinetic energy function.
Args:
omega_par (:obj:`float`): 2 * pi * frequency.
disp_vector (:obj:`numpy.array`): Displacement.
passive_el (:obj:`numpy.array`... | d62f8ae304e82086cfd17136304e4844154ec337 | 71,200 |
def is_new_dbinit_notification(init_id, echoed_init_id):
"""Returns True if we have a received a new db initialisation notification
from a peer unit and we have not previously echoed it to indicate that we
have already performed the necessary actions as result.
Initialisation notification is expected t... | 3ff60ca786dd9e23e278d2e34d4e20f3e7b20985 | 71,201 |
def handle_NameError(exc, source):
"""Handles situation where a NameError is raise."""
_ = gettext_lang.lang
msg = exc.args[0]
var_name = msg.split("'")[1]
exc_name = exc.__class__.__name__
python_display = "{exc_name}: {msg}".format(exc_name=exc_name, msg=msg)
filename, linenumber = extrac... | 88a8026c206cebe6837f8aee7f345d1dc640e4e1 | 71,202 |
def logout():
"""Clear the current session, including the stored user id."""
logout_user()
return redirect(url_for("index")) | 0236e48025bf74eec9c56ee064d6dac985d9db59 | 71,203 |
import json
def get_dataframe():
"""Retrieve the dataframe from Redis
This dataframe is periodically updated through the redis task
"""
jsonified_df = redis_instance.hget(
tasks.REDIS_HASH_NAME, tasks.REDIS_KEYS["DATASETUP"]
).decode("utf-8")
# df = pd.DataFrame(json.loads(jsonified_df... | 465fcc3ece46428efa9e79b56dbd7a2fdd9f7bdd | 71,204 |
def pokemon_media_path(pokemon_species, prefix, ext, form=None):
"""Returns a path to a Pokémon media file.
form is not None if the form should be in the filename; it should be False
if the form should be ignored, e.g. for footprints.
"""
# Leave it as None if it's null; pass it by filename_from_n... | 7dd88cddaa0a6c158bf99dcfff9e82d26d7d2769 | 71,205 |
import requests
import sys
def search_solr_parse_json():
""" """
solr_url = 'http://localhost:8983/solr/nounphrases_wikipedia/select'
# Exact search only
url_params = {'q': '*', 'rows': 8000000, 'fl': 'wikipedia_url,num_occurrences'}
solr_response = requests.get(solr_url, params=url_params)
if... | 8f1eebf68f0852106fe3892a7816bb96fc9f010d | 71,206 |
def option_select(prompt="", choices=None):
""" Bullet option select utility. """
return ScrollBar(
prompt=prompt,
choices=choices,
margin=2,
pointer="→"
).launch() | bceb101afdcc6332fd96911b4810feaf9093ae1b | 71,207 |
def dist_12x24(var_series, aggregation_method='mean', var_name_label=None, return_data=False):
"""
Accepts a variable series and returns a plot of 12x24 (12 months x 24 hours) for the 'mean' of the variable with
the table of data as an optional return. The aggregation_method 'mean' can be can be changed as ... | d4e7a79fe84ea9beb0139a8aabc0eecbc55b8b60 | 71,208 |
def mixer_l32_224(pretrained=False, **kwargs):
""" Mixer-L/32 224x224.
Paper: 'MLP-Mixer: An all-MLP Architecture for Vision' - https://arxiv.org/abs/2105.01601
"""
model_args = dict(patch_size=32, num_blocks=24, embed_dim=1024, **kwargs)
model = _create_mixer('mixer_l32_224', pretrained=pretrained... | 009fdca7e1c1ddf743b42cdeb26866cec4a68b5e | 71,209 |
def projector(data, cube, mask=None, obstacle=None, nthread=0):
"""
Project a cubic map into a data cube using the Siddon algorithm.
The data cube is updated in-place, so you should make a copy before
calling projector.
Arguments
---------
data : 3d InfoArray
Contains a concatenation ... | b2a14ad97688451b53771296a0fcbec9194b5cf3 | 71,210 |
def parser_add_args_from_para(parser, para, usage):
"""Take the next Para as Lines of Args, if tagged as Positional Arguments"""
if para[0].startswith("positional arguments"):
for line in textwrap_para_unbreakdent_lines(para=para[1:]):
parser_add_arg_line(parser, usage=usage, line=line)
... | d6b4f1ac20b2e8f24daab069b4071e952c694ad0 | 71,211 |
import os
def default_node_sublabels(node):
"""function mapping nodes to a sublabel
(e.g. specifying some attribute values)
:param node: the node to map
:type node: aiida.orm.nodes.node.Node
:rtype: str
"""
# pylint: disable=too-many-branches
class_node_type = node.class_node_type
... | 9d0356e58f3493f378018295192f49891217801b | 71,212 |
def getDERIP(tracker,ID="deRIPseq",deGAP=True):
"""Write tracker object to sequence string.
Requires that all base values are strings."""
deRIPstr = ''.join([y.base for y in sorted(tracker.values(), key = lambda x: (x[0]))])
if deGAP:
deRIPstr = deRIPstr.replace("-", "")
deRIPseq = SeqRecord(Seq(deRIPstr, Gap... | 714ba32c38e363289d38f587285d22d1ede8a862 | 71,213 |
def part_b(data, **_) -> int:
"""
Solution for part b
Parameters
----------
data: str
Returns
-------
answer: int
"""
memory = {}
mask = None
for row in data.split('\n'):
if row.startswith('mask'):
mask = row.split(' = ')[1]
else:
... | f662862c001b9fc7c882b014915a4efc47d510a1 | 71,214 |
from typing import List
def get_worker_files(paths: List[str], env: CylonEnv, ext: str = None) -> List[str]:
"""
calculate the list of files that this worker will read
"""
all_files = get_files(paths=paths, ext=ext)
start, end = indices_per_worker(len(all_files), env.rank, env.world_size)
retu... | b6670ad3930826708254747ae1f10b97b77d4da5 | 71,215 |
import requests
import json
def modify_snmp_template(auth, url, snmp_template, template_name= None, template_id = None):
"""
Function takes input of a dictionry containing the required key/value pair for the modification
of a snmp template.
:param auth:
:param url:
:param ssh_template: Human ... | d4061820b588d8d1f2a6d77aa815022f21329b05 | 71,216 |
import inspect
import os
def get_setup_file():
"""Returns the absolute path to the setup file for this package.
Apache Beam requires this setup file to build this package on remote workers.
"""
this_file = inspect.getfile(inspect.currentframe())
this_dir = os.path.dirname(this_file)
relative_path = os.pa... | da2f8d0528bb84189526ced3f21421859325601f | 71,217 |
from typing import Sequence
from typing import Optional
def nodes_to_attach_risk_to(
nodes: Sequence[NodeView], risky_node_keys: Optional[Sequence[str]],
) -> Sequence[NodeView]:
"""
a None risky_node_keys means 'mark all as risky'
a [] risky_node_keys means 'mark none as risky'.
"""
if risky_... | 9677a6f4fe212614090e247c1f8171bd713f393c | 71,218 |
def configlet_factinfo(configlet_name, facts, debug=False):
"""
Get dictionary of configlet info from CVP.
Parameters
----------
configlet_name : string
Name of the container to look for on CVP side.
module : AnsibleModule
Ansible module to get access to cvp cient.
debug : b... | 9aba41363059c41e5c905043f862e3acf26a4ff2 | 71,219 |
def _calculate_overlap(seq1, seq2) -> float:
"""
Calculate overlap between two time series sequence
:param seq1: Time series sequence
:param seq2: Time series sequence
:return: overlap value between two sequences
"""
if seq2.end > seq1.end and seq2.start >= seq1.start:
return (seq1... | cbc8b2694742cbc0d47e0599a2ad158db76f8c2b | 71,220 |
def foeppl_np_inkl_null(var_x, grenze_a, potenz_n):
"""Numpy Funktion für die Föppl Klammer mit ((var_x-a)==0) = 0"""
return np.where((var_x - grenze_a) <= 0, 0, (var_x - grenze_a) ** potenz_n) | 8f751529451ad19fa5a6b0bccfb322f8c75c28f8 | 71,221 |
def getDeploymentSections(deploymentInfos, nodesInformation):
"""
Combine deployments to the same nodes into lists in order to save on connect/disconnect time
:param deploymentInfos: deployment infos
:type: :class:`~storm.thunder.configuration.DeploymentInfos`
:param nodesInformation: nodes informa... | 3630f5ca0d7237fd2bdc0ce80026922eae20718f | 71,222 |
def sorted_eigenvector_matrix(M, numpy=False, increase=False, eps=1e-14, **kwargs):
"""
returns a matrix whose columns are the normalized eigenvectors of M
:M: square matrix (entries are assumed to be numbers)
:numpy: use numyp instead of sympy
:increase: sort in increasing order (defa... | ab895873d91cf114e6eecb5fd484528790faaec3 | 71,223 |
def _get_query_seqs(count_start, ref, ref_complement, srna_length):
"""
Get to correct length fwd and rvs query seq from the ref
:param count_start:
:param ref:
:param ref_complement:
:param srna_length:
:return:
"""
query_seq_fwd = DNA(ref[count_start:(count_start + srna_length)])
... | 27ec71b3ad0735ac792b77cb59f7b6a0b16ca436 | 71,224 |
import collections
def convert_examples_to_features(examples, tokenizer, max_seq_length,
doc_stride, max_query_length, is_training):
"""Loads a data file into a list of `InputBatch`s."""
unique_id = 1000000000
features = []
for (example_index, example) in enumerate(e... | 9cd255efd8daa611c9cccb6f33c39fe77c27f829 | 71,225 |
def find_val_percent(minval, maxval, x):
"""Find the percentage of a value, x, between a min and max number.
minval -- The low number of the range.
maxval -- The high number of the range.
x -- A value between the min and max value."""
if not minval < x < maxval:
print("\n" + " ERROR: X mu... | 13661bb2b6b230fa212ddd3ceb96c5b362d52f19 | 71,226 |
def class_delete():
"""
删除班级信息
:return:
"""
res = ResMsg()
obj = request.json
n_class = db.session.query(Class).filter(Class.id == obj["id"]).first()
n_stu_cls = db.session.query(StuCls).filter(StuCls.class_id == obj["id"]).all()
try:
db.session.delete(n_class)
db.ses... | fd247e9c2dd162b915ea9dab24ce942c1042af7d | 71,227 |
import json
def specific_area(region):
""" Shows the total number of COVID-19 positive test cases in specific \"region\""""
string = region.lower()
datas = json.loads(date_function.regional_data)
return datas.get(string,'The region name doesn\'t exist') | bef2a0dbf31cd82619fb36aa65a905244bd2e9f1 | 71,228 |
def ver_datos_basicos(request, extension_aulica_id):
"""
Visualización de los datos básicos de un extension_aulica.
"""
extension_aulica = __get_extension_aulica(request, extension_aulica_id)
try:
codigo = Establecimiento.get_parts_from_cue(extension_aulica.cue)['codigo_tipo_unidad_ed... | 303bf80b1a08102aad3a702ab4ec556885bf96f3 | 71,229 |
def name(who):
"""Return the name of player WHO, for player numbered 0 or 1."""
if who == 0:
return 'Player 0'
elif who == 1:
return 'Player 1'
else:
return 'An unknown player' | a553b64c7a03760e974b5ddeac170105dd5b8edd | 71,230 |
from sys import path
def get_scarff_version():
"""
Find the value assigned to __version__ in __init__.py.
This function assumes that there is a line of the form
__version__ = "version-string"
in scarff/__init__.py. It returns the string version-string,
or None if such a line is not fou... | d56478e126f19d9b95c24d0304daaa24b947a1a7 | 71,231 |
import requests
def jyfm_data_soybean_oil(indicator="豆油年度产能", headers=""):
"""
交易法门-数据-农产品-豆油
:param indicator: ["豆油年度产能", "压榨装置开工率", "油厂周度产量", "豆油现货成交",
"豆油商业库存", "豆油毛利润", "豆油月度产量", "豆油月度进口", "豆油月度消费", "豆油月度出口", "豆油月度库存"]
:type indicator: str
:param headers: headers with cookies
:type hea... | b321569aa34351c7f94dfe9d697e67c221278663 | 71,232 |
def segment(*args, **kwargs):
"""
Segment the map
"""
if len(args) > 0 and type(args[0]) == "str" or "input_map_filename" in kwargs:
func = mapfile_segment
else:
func = array_segment
return func(*args, **kwargs) | 0f1e3eca39a335031dcd6920f5c691086a1528db | 71,233 |
def normalize_time_window(time_window, values_per_time_point):
"""
Bring all values in time window to -1, 1 range and center them around 0.
:param time_window: vector of values for set of time points
:param values_per_time_point: number of numeric values describing one time
... | 4ee9fb63dfe30736f4c33ab1d97bd49d1f4aa944 | 71,234 |
def mean(nums):
"""
Gets mean value of a list of numbers
:param nums: contains numbers to be averaged
:type nums: list
:return: average of nums
:rtype: float or int
"""
counter = 0
for i in nums:
counter += i
return counter / len(nums) | d3ea7af8792f4fdd503d5762b5c0e54765ce2d99 | 71,235 |
def process_data(dr): # 统一输入单词的长度，不足补0，此方法会增加训练时间
"""
:param dr: class data reader
:return: process X, Y
"""
return dr.XTrain, dr.XTest, dr.YTrain, dr.YTest # 这是为了统一一个表达方式，和之前的章节一样 | cc05605d77e25ed7363da3de9407d1f51b7dbf4b | 71,236 |
def conv_block(x, growth_rate, name, activation,
momentum, epsilon):
"""Convolutional block defined in Densenet architecture,
It is its base layers
Args:
x: input tensor form the precedent layer
growth_rate : float number, growth rate or number of filters (ref. paper)
... | 125597246999c38630c8c9392e0ef874dbe863df | 71,237 |
def question_2(data):
"""
Plots 2 graphs: Temperature change as a function of 'DayOfYear', and STD of daily
temperatures as a function of 'Month'.
Parameters
----------
data: preprocessed of city temperature dataset
Returns
-------
A tuple of:
1. A design matrix... | 610067d77957ef36170e97d7152e2e1bc1b84e11 | 71,238 |
def map_id_to_value(nodes, value):
"""Maps Node id to another value"""
return remove_colons(nodes).set_index('id')[value].to_dict() | b1f20a25df51cd93d13e16de197affbb768908e9 | 71,239 |
def PlotAA(df, eom=9, show_plot=True):
"""
Summary
-------
Plot of annual average bar chart.
No documentation as of 2018-10-31.
Future Development
------------------
1. Add comma separator to y-axis.
2. Add option to view by Sacramento Index Water Year Types.
"""
# Obtain ... | b258b0ecee7676a994558d9b2f89583b89a425b3 | 71,240 |
from .parser import read
def df_from_sas(target, meta_df, skiprows=None, nrows=None, chunksize=None):
"""Deprecated. Use pyhcup.parser.read()"""
print "WARNING: pyhcup.sas.df_from_sas() is deprecated and is scheduled for removal in pyhcup 0.1.6; use pyhcup.parser.read()"
result = read(target, meta_df... | 4afd2fd61dcd6af489cb63977ff8ad1dc222749d | 71,241 |
def all(functions):
"""Returns function that returns True when all components return True."""
def apply_to(*args, **kwargs):
return conjoin(functions, *args, **kwargs)
return apply_to | 6279be8d9e1977454e24d35d3cc94228f64dda35 | 71,242 |
def CombineProvenanceConst_get_decorator_type_name():
"""CombineProvenanceConst_get_decorator_type_name() -> std::string"""
return _RMF.CombineProvenanceConst_get_decorator_type_name() | 6542246ac76545da6f98ada6f15653850b6ccc5e | 71,243 |
def BuildVRTInternalObjects(*args):
"""
BuildVRTInternalObjects(char const * dest, int object_list_count, GDALBuildVRTOptions options, GDALProgressFunc callback=0,
void * callback_data=None) -> Dataset
"""
return _gdal.BuildVRTInternalObjects(*args) | e5eb1aef230c79e6ff68a8f57fed0ef106c2e181 | 71,244 |
from typing import Tuple
def _has_line_of_sight(matrix: np.ndarray, start: Tuple[int, int],
end: Tuple[int, int]) -> bool:
"""
Return True if two points on a grid have line of sight.
Return True if start == end.
"""
if start == end:
return True
start_y, start_x ... | fa9ecdb54fba90c43586f710b58bc51f37992048 | 71,245 |
def threshold1(x, col, thresh):
""" 1-dimensional classification using a threshold function.
"""
return x[:, col] <= thresh | 5814ab93fe41e2e92f4648bfee1f8033ff0864b6 | 71,246 |
import os
import click
def ask_overwrite(file_path):
"""
asks if you want to overwrite the given file, if it exists
:param file_path:
:return:
"""
if os.path.isfile(file_path):
click.echo(
chalk.red(
"A configuration file already exists. Are you sure you wan... | 1c8998fdfe85186dc8456b8a01949701f4b79ab2 | 71,247 |
from typing import Union
from typing import List
import sys
def main(argv: Union[List[str], None] = None) -> int:
"""Delegate processing to functional module."""
argv = sys.argv[1:] if argv is None else argv
return ky.main(argv) | 4cca2c0b79dd0eff2d62476c4f5c8deabf55f30d | 71,248 |
import torch
def compute_rank(predictions, targets):
"""Compute the rank (between 1 and n) of of the true target in ordered predictions
Example:
>>> import torch
>>> compute_rank(torch.tensor([[.1, .7, 0., 0., .2, 0., 0.],
... [.1, .7, 0., 0., .2, 0., 0.],
... | 0aed5b14ef9b0f318239e98aa02d0ee5ed9aa758 | 71,249 |
def load_dataset(dataset_path, sequence_length, src_vocab_file, tgt_vocab_file, batch_size, buffer_size):
"""Create a tf.data Dataset.
Args:
dataset_path: Path to the files to load text from
sequence_length: Maximun Length of the Sequence
vocab_file: Location of vocab file
batch... | b831403cbdf3ee2351aab72099031cf3dd780af7 | 71,250 |
def LazyLoadModule(name, contents):
"""
:param name: name of the module
:param contents: dictionary of initial module globals
This function returns a special module type with one method `_addattr`. The signature
of this method is:
_addattr(name, creator, *creatorArgs, **creatorKwargs)
... | 5bb4cae8fc7209ba03bb74ac03e701ba74caf29a | 71,251 |
def _debug():
""" returns True if debugging turned on (via _set_debug), otherwise, false """
return _DEBUG | 5a4116f7ad462f8c0f1262577499dde1d1684296 | 71,252 |
def udfize_lambda_string(code: str):
"""Return a string with the code as a function"""
return "lambda input: ({})".format(code)
# return "lambda input: (%s)" % code | c519c8ec408b00f033878b6083d4a922f32d2ac9 | 71,253 |
import json
def load_scalabel_frames( scalabel_frames_path ):
"""
Loads Scalabel frames from a file. Handles both raw sequences of Scalabel frames
as well as labels exported from Scalabel.ai's application.
Raises ValueError if the data read isn't of a known type.
Takes 1 argument:
scalab... | 7e5467d0f184dba1e3efc724391931ed4053a683 | 71,254 |
def ovs_version_str(host):
""" Retrieve OVS version and return it as a string """
mask_cmd = None
ovs_ver_cmd = "ovs-vsctl get Open_vSwitch . ovs_version"
with host.sudo():
if not host.exists("ovs-vsctl"):
raise Exception("Unable to find ovs-vsctl in PATH")
mask_cmd = host.r... | 607ffbb2ab1099e86254a90d7ce36d4a9ae260ed | 71,255 |
def maximum_displacement(initial_velocity):
"""Derived from s = 0.5 u + u t + 0.5 a t^2 at t = u and a = -1.
The (0.5 u) term comes from the order of rules of the motion of the
probe, the displacement changes before the velocities are
updated."""
return int(0.5 * initial_velocity * (1 + initial_vel... | c4b71ad83d787cae9ad9abe7d044b0e2d66b9cc0 | 71,256 |
from typing import List
def csv_rows(s: str) -> List[List[str]]:
"""Returns a list of list of strings from comma-separated rows"""
return [row.split(',') for row in s.split('\n')] | 7a6ea8c0f69801cfb1c0369c238e050502813b63 | 71,257 |
import math
def getRotationMatrix(a, b, c):
""" Compute Rotation Matrix given RPY euler angles. """
# Roll
R_x = np.array([[1, 0, 0],
[0, math.cos(a), -math.sin(a)],
[0, math.sin(a), math.cos(a)]
])
# pitch
R_y = np.array([[math.cos(b),... | 5b68425a0b3244579528fd601b52c43add5de03e | 71,258 |
import re
import os
def generate_us_state_all():
"""Combine all US State datasets into a single file"""
# setup country dataframe
df_info = get_config()["files"]["us_state_all"]
target_df = pd.DataFrame()
# setup dataframe
df_names = []
df_dtypes = {}
col_index = 0
for key, value i... | f01c9d0586321471c0c9961c965acfdda3f4a71e | 71,259 |
def GetMatchURL(soup):
"""Gets the ongoing match URL"""
live_match_url = soup.find("a", attrs={"class": "match-status-3"})["href"]
return live_match_url | bae3658c46976c7d43234e063d78eeea027d3095 | 71,260 |
def get_flattened_axes(x):
"""
Ordered list of axis visible to MKLDNN
"""
return Axes.as_flattened_list(x) | aa4ec87d1a2bbe254eb88f9356f1a76aaaf71f43 | 71,261 |
def get_service(service_name):
"""
Gets the service VerificationService, checks if there is already one in the
memory, if so return that one.
:param service_name: e.g. phone, email
"""
# Check if service_name in USER_VERIFICATIOn
if not settings.USER_VERIFICATION.get(service_name, None):
... | 38eeece00518fd638df8246878a597cee825bd5e | 71,262 |
def wait_to_fetch(ctx, interval):
"""Check if an unscored solution exists in a database by calling query every "interval" seconds.
:param ctx: Click context
:param interval: int: Interval to access a database (second)
:return solution_id: ID of a solution that has not been scored.
"""
w... | 372da8b7e4c19b6d2d0f728753a1584a3ccd40cb | 71,263 |
def ctab2inchiKey():
"""
Converts CTAB to InChi Keys. CTAB is either single molfile or SDF file.
cURL examples:
curl -X POST --data-binary @aspirin.mol ${BEAKER_ROOT_URL}ctab2inchiKey
curl -X POST -F "file=@aspirin.mol" ${BEAKER_ROOT_URL}ctab2inchiKey
"""
data = list(request.files.values())[0].fil... | 8cadc1683e4f644f673751e95f560a45822593a4 | 71,264 |
import os
def which(program):
"""Locate an executable on the system path.
"""
def is_exe(fpath):
return os.path.isfile(fpath) and os.access(fpath, os.X_OK)
fpath, fname = os.path.split(program)
if fpath:
if is_exe(program):
return program
else:
for path in ... | 0a44d4dbb2332cbb69d89c0040b2ea6b5118d800 | 71,265 |
def matmul(a: ndarray,
b: ndarray) \
-> ndarray:
"""
Matrix product of two arrays.
"""
return ndarray(af.matmul(a._af_array, b._af_array)) | afdf18f72fcaf915e32b829d696eb605887254d1 | 71,266 |
def flam2epp(lam, flam, ddisp):
"""
Convert flux density [erg/s/cm2/A] to photons per pixel [photons/s/cm2/pixel]
Args:
lam (array-like):
wavelength array associated to the spectrum
flam (array-like):
spectrum in units of erg/s/cm2/A
ddisp (float):
... | 4018c7346bf842b93f25a72b4249269ad245f31b | 71,267 |
def demo_delete(id, **kwargs):
"""
swagger_from_file: Swagger/demo/del.yml
"""
return quickly_del(Demo, id) | 499045763cecd62e67334045b031929de61c5070 | 71,268 |
import logging
def get_foot(tags, highway, level, country_iso3):
"""
Returns a tuple (foot TRUE|FALSE, safety 0->3)
safety
-1 - not allowed
0 - no sidewalk and/or level 4-6
1 - sidewalk and/or level 3
2 - designated but shared
3 - designated
"""
foot = False
safety = 0
... | fc960fbba178530e3380dfecfc9b6d2b0be6d62e | 71,269 |
from numpy import sum
def load_LSRK(file,lstype='2S',has_emb=False):
"""
Load low storage methods of the types 2S/2S*/3S*/2S_pair/3S_pair
from a file containing the low-storage coefficient arrays.
If has_emb=True, the method has an embedded method that
requires an extra register.
... | c8bef2e6973f73720c10e757cd01e536d027c67c | 71,270 |
import calendar
def create_disjunctive_constraints(solver, flat_vars):
"""
Create constrains that forbids multiple events from taking place at the same time.
Returns a list of `SequenceVar`s, one for each day. These are then used in the first
phase of the solver.
"""
events_for_day = [[] for _... | f7f8592ac00c8cac9808bb80d425ff1c1cf10b9e | 71,271 |
def interp_quad(x, y, d, rLCFS, r):
"""Function 'interp' used for kinetic profiles.
"""
f = interp1d(x, np.log(y), kind="quadratic", assume_sorted=True, copy=False)
idx = np.searchsorted(r, rLCFS)
core = np.exp(f(np.clip(r[:idx] / rLCFS, 0, x[-1])))
edge = core[..., [idx - 1]] * np.exp(
... | d877c4521cc29046ca827f7235e2401d808b8257 | 71,272 |
def generateWalkJumpSample(adjacency_list, p, jump_probability):
"""
Generate random walk sample from real graph
"""
sample_network = dict()
nodes = set()
edges = set()
number_of_edges = sum([len(adjacency_list[u]) for u in adjacency_list.keys()]) / 2
desired_num_edges = int(p * number_o... | fa3c1ea0df20c97e2587c2f55e954a6680856d9b | 71,273 |
def pick_cluster(session,picks,pickwindow,pickaveraging_norm,counter):
"""
Cluster picks from different components on the same station.
"""
# | | /\
# | | / \ /\
# | | /\ /\ / ... | 00ad6ca61efbd7093c827b0d57271c41ece1bc22 | 71,274 |
def echo():
"""
Method used to test how Python is handling PowerBuilder requests.
Will decode data sent from PB and return it to the requester.
:return: Decoded data sent from the requester.
"""
try:
return request.data.decode("utf-8"), 200
except UnicodeDecodeError as why_ude:
... | 9b077c0603baef42dac91f7dd47020af110f2866 | 71,275 |
from typing import List
import re
import traceback
def cdt(text: str) -> List:
"""将中文的日期转化为标准时间日期符串
支持年, 季, 月, 周, 日,以及他们的合理组合, 返回的粒度都为`日`
支持日期合理的往前推算, 如`去年第一季度`, `前20天`等
支持两位数和三位数年份的自动补全. 如`18年`, '95年'等
Args:
text (str): 输入文本
Returns:
List: 转化过后的时间, `和`表示的长度为2, 正... | b4ea360f4a59dfeafa7138f2e9adb95a229d2322 | 71,276 |
import os
import ntpath
def get_file_info(file_path : str) -> dict:
"""it takes a file path and returns information about the file like:
'directory': the directory path where the file resides
'base_file_name': the file name without extentation example.zip -> example
'flag_name' : 'base_file_name' + .f... | e46992217ee3869fae117a530fd020d644d9b1c4 | 71,277 |
def minhash_xor_192(features_32, masks=PERMS_192_NP):
"""Numpy & Numba supported implementation"""
hashes = np.full(192, np.uint32(MAX_UINT32))
for f in features_32:
hashes = np.minimum(hashes, np.bitwise_xor(masks, f))
return hashes | 67d1c913bb6cc8596b04c19fb28deccfd76ba198 | 71,278 |
def fit_nelson_siegel_yield(tau, y, theta_0=None):
"""For details, see here.
Parameters
----------
tau : array, shape (n_,)
y : array, shape (n_,)
theta_0: array, shape (4,)
Returns
-------
theta : array, shape (4,)
"""
n_ = len(tau)
def minimization_... | feeeeef81cab003d006bf3d64076cf119c6f6c6f | 71,279 |
def magic_string(string: str, filename: str = None):
""" Returns tuple of (num_of_matches, array_of_matches)
arranged highest confidence match first
If filename is provided it will be used in the computation.
:param string: string representation to check
:param filename: original filename
:retu... | 8ce083418921a9a3da675a8ddbb144df29e096d2 | 71,280 |
import torch
def correct_resize_label(tensor, size):
"""
Resize torch.Tensor label
Parameters
----------
tensor : torch.Tensor
size : Tuple[int]
Returns
-------
resized_tensor : torch.Tensor
"""
device = tensor.device
tensor = tensor.detach().cpu()
resized = []
... | e2c6601e6c17fa894c0b6f83f61087d9f75e32b6 | 71,281 |
def read_data1(filename):
"""
This function reads the data from .txt file.
:param filename: reading directory
:return: lists of word_ids, words, emphasis probabilities, POS tags
"""
lines = read_lines(filename) + ['']
word_id_lst, word_id_lsts = [], []
post_lst, post_lsts = [], []
se... | c31de2ff853c799078468d675d7a7adf4bb2fa12 | 71,282 |
def workflow_add_tags(object_id, input_params={}, always_retry=True, **kwargs):
"""
Invokes the /workflow-xxxx/addTags API method.
For more info, see: https://documentation.dnanexus.com/developer/api/introduction-to-data-object-metadata/tags#api-method-class-xxxx-addtags
"""
return DXHTTPRequest('/... | 440d39e622f1dc6336118ce9704a187842e2ca06 | 71,283 |
def login(var=random.randint(0, 1000), error=None):
"""
The function can get a POST or GET requests.
if the request is GET: returns the html login_page template
if the request is POST: checks the data(email and password) in the users database.
"""
global clients_connecting
if request.method ... | 1e397ec4dc571f2c21893b70993c7b5a296293cb | 71,284 |
def get_body(request):
"""
Return the body of a concrete publication.
"""
context = request['context']
entities = request['entities']
feed = context['feed']
ordinal = entities['ordinal'][0]['value']
body = feed[ordinal]['summary_detail']['value']
context['body'] = body
return con... | 53080b1727f0230a30b9fc4435d455a06e927be3 | 71,285 |
def get_default_snapshot_id(project):
""" Generate a snapshot id from data on the given project.
:param project: project object
:return: snapshot id
"""
def snapshot_id_from_branch_name(name):
return "{}:HEAD".format(name.replace('/', ':'))
default_branch = project.git.get_default_branc... | 2c542678036541372fa675e61b4f5a969cd5ab0f | 71,286 |
import random
def filter_shuffle(seq):
"""
Basic shuffle filter
:param seq: list to be shuffled
:return: shuffled list
"""
try:
result = list(seq)
random.shuffle(result)
return result
except:
return seq | 3f2dce2133ba32d8c24d038afaecfa14d37cbd4e | 71,287 |
def read_vcf_file(vcf_file_address):
"""
Reading the vcf file
input: vcf file
outputs:
lines_list: list of string. each string is a line of phased vcf file.
var_pos_het_list: genomic position of phased hetrozygous variants in the vcf file.
line_number_het_list: list... | f4e9718d8fc21f5c1dc37aa570f6bf1615b82452 | 71,288 |
def ipd_download_new_or_modified(organizer: Organizer, info: IpdDownloadInfo) -> bool:
"""
Accepts new files or files with a more recent modification date.
"""
resolved_file = organizer.resolve(info.path)
if not resolved_file.exists():
return True
if not info.modification_date:
P... | 36cbf48347b6bc4e7557cb06f316dbd912ae6e44 | 71,289 |
def sushi_report_all(request):
"""Report from SUSHI, shared common data."""
return parse_sushi_file(request.param) | 9ae44e8ea80c74d1580662e9ce1bbd530214356a | 71,290 |
def get_package_list_from_file(path):
"""
Create a list of packages to install from a provided .txt file
Parameters
__________
path: Filepath to the text file (.txt) containing the list of packages to install.
Returns
______
List of filepaths to packages to install.
Notes
... | 91ef3e634e98afd116d2be9c803620f672acd950 | 71,291 |
def property_view(request, slug, property_id):
"""
"""
return render(request, 'property/property.html', {'slug': slug, 'id': property_id}) | 05b28046274cfb1f09bfbe9c352888202b4fb485 | 71,292 |
def read_comment_line(line, verbose=0):
"""
Use pyleri to parse an extxyz comment line
"""
result = grammar.parse(line)
parsed_part = result.tree.children[0].string
if not result.is_valid:
raise SyntaxError(f"Failed to parse entire input line, only '{parsed_part}'. "
... | dfdbea582dcfa14f5e3aefec89eb3959cde67685 | 71,293 |
def escaped_commands(line):
"""Transform escaped commands - %magic, !system, ?help + various autocalls.
"""
if not line or line.isspace():
return line
lineinf = LineInfo(line)
if lineinf.esc not in tr:
return line
return tr[lineinf.esc](lineinf) | 84dea2fba22c7a7da6d75e8257b597c68aab67ef | 71,294 |
def has_postgres() -> bool:
""" Whether to use postgres """
return find_spec("asyncpg") is not None | 0d6348f52fb01114bc57cc539d3874815da16ec8 | 71,295 |
def passthru(func):
"""Return value of function by same name in proxied object.
Proxied object is located as an attribute named `_wrapped` in proxy object.
"""
@wraps(func)
def _wrapper(self, *args, **kwargs):
name = func.__name__
return getattr(self._wrapped, func.__name__)(*args,... | bc33e482b9b0c46f4e48f9dbe1367e60d47f5d04 | 71,296 |
def _sources_from_virtual_sink_port(sink_port, _traversed=None):
"""
Resolve the source port that is connected to the given virtual sink port.
Use the get source from virtual source to recursively resolve subsequent ports.
"""
source_ports_per_virtual_connection = (
# there can be multiple p... | 3a378632702afe62166f5ee75b43ba930b712a75 | 71,297 |
def parse_jcamp_line(line,f):
"""
Parse a single JCAMP-DX line
Extract the Bruker parameter name and value from a line from a JCAMP-DX
file. This may entail reading additional lines from the fileobj f if the
parameter value extends over multiple lines.
"""
# extract key= text f... | 84061c3f4bc42a62e308d5f93877e5c55d85efc1 | 71,298 |
def get_grounded_agent(gene_name):
"""Return a grounded Agent based on an HGNC symbol."""
db_refs = {'TEXT': gene_name}
if gene_name in hgnc_map:
gene_name = hgnc_map[gene_name]
hgnc_id = hgnc_client.get_hgnc_id(gene_name)
if not hgnc_id:
hgnc_id = hgnc_client.get_current_hgnc_id(gen... | e4501fefe4d1617bd9d32679fd966b101708297d | 71,299 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.