content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
import logging
import time
def computeVoronoiDefects(lattice, refLattice, vacancies, voronoiOptions):
"""
Compute Voronoi for system containing defects
"""
logger = logging.getLogger(__name__)
vorotime = time.time()
logger.info("Computing Voronoi (defects)")
logger.debug(" ... | 4161b1e8f8b05547b3c962493abc2651068ed2ad | 3,618,200 |
import warnings
def mahalnobis(u, v):
"""
By Robin Hayman
gets the mahalanobis distance between two vectors feature arrays u and v
a blatant copy of the Mathworks fcn as it doesn't require the covariance
matrix to be calculated which is a pain if there are NaNs in the matrix
"""
u_sz = u.... | 2f88c6116a3b5fb56f1d97ba98ae8025f1552a01 | 3,618,201 |
import urllib
def is_valid_uri(uri):
"""Determine if the string is a valid URL. We use it to distringuish links from workflow variables."""
try:
result = urllib.parse.urlparse(uri)
return result.scheme and result.path
except Exception as e:
return False | 9cfe68005b8578383543c5d8db498738ae12cd21 | 3,618,202 |
def tier_from_reader(stream):
"""Return a tier object from a stream of strings and numbers.
Parameters
----------
stream : iterator of str, int, and float
Iterator that yields strings and numbers in the order that
Praat expects to define a tier.
Returns
-------
IntervalTier... | ad95ce728dc257888a5dab817e9de48a14a3bbc1 | 3,618,203 |
from typing import Dict
from typing import Any
def get_house_committees(biennium: str) -> Dict[str, Any]:
"""See: http://wslwebservices.leg.wa.gov/committeeservice.asmx?op=GetHouseCommittees"""
argdict: Dict[str, Any] = dict(biennium=biennium)
keydict: Dict[str, Any] = {}
return waleg.call("Committee"... | efebec8357ba0499120d82684e1c8e3f69990df3 | 3,618,204 |
import torch
import copy
def _train_dsm(x, t, e, folds, params):
"""Helper Function to train a deep survival machines model.
Args:
x:
a numpy array of input features (Training Data).
t:
a numpy vector of event times (Training Data).
e:
a numpy vector of event indicators (1 if event... | 30f5706824b060333f1263a3f14360d51852b448 | 3,618,205 |
def vote(request):
"""Ajax call to add an up vote to comment comment_pk."""
comment_pk = request.GET.get('comment_pk')
c = Comment.objects.get(pk=int(comment_pk))
c.up_votes += 1
c.save()
return JsonResponse({'id': comment_pk, 'count': c.up_votes}) | 6dd37768a075492460d480ba99a6d81bd3bcd08a | 3,618,206 |
import requests
def get_lovelive_info():
"""
从土味情话中获取每日一句
:return: str,土味情话
"""
print('获取土味情话...')
try:
resp = requests.get('https://api.lovelive.tools/api/SweetNothings')
if resp.status_code == 200:
return resp.text
print('土味情话获取失败。')
except requests.ex... | daf73060c1caae261408b817a90ba81d25731f5a | 3,618,207 |
def set_exploit_name(id_, name, user, **kwargs):
"""
Set a Exploit name.
:param id_: Exploit ObjectId.
:type id_: str
:param name: The new name.
:type name: str
:param user: The user updating the name.
:type user: str
:returns: dict with keys:
"success" (boolean),
... | 1d39ce94c390abb4d5581701183a3bd6cb98db05 | 3,618,208 |
from typing import Union
from pathlib import Path
import os
import json
import yaml
def readfile(fname: Union[str, Path]) -> Union[str, dict, np.ndarray]:
"""
Util function for reading a variety of different files
"""
fname = str(fname)
ext = os.path.splitext(fname)[-1]
if ext == ".json":
... | fa55c9ecd93de84c34c640d95a5e56f5cb80ce51 | 3,618,209 |
async def async_get_registry(hass) -> DeviceRegistry:
"""Return device registry instance."""
task = hass.data.get(DATA_REGISTRY)
if task is None:
async def _load_reg():
registry = DeviceRegistry(hass)
await registry.async_load()
return registry
task = ha... | 4d910529bcd026e5237a7ae3a8a5b80eaa9eefef | 3,618,210 |
from typing import Any
import json
def read_json_file(filename: str) -> Any:
"""Read a json file
Parameters
----------
filename : str
The json file
Returns
-------
A json object
Example
-------
>>> import allyoucanuse as aycu
>>> content = aycu.read_json_file... | e1afe013da96adfa5dd0e3ea998dce1323efe231 | 3,618,211 |
import json
async def api_user_authenticate(request):
"""
用户登录验证API函数
:param request: 请求对象
:return: 回响消息, 并且设置COOKIE
"""
request_data = RequestData(request)
if not await request_data.json_load():
return data_error(u'非法数据格式, 请使用JSON格式')
email = request_data.email
password =... | 9f2a4d4845c44194638fc3a4ba20236c69add098 | 3,618,212 |
import os
import sys
import shutil
def get_best_invocation_for_this_pip() -> str:
"""Try to figure out the best way to invoke pip in the current environment."""
binary_directory = "Scripts" if WINDOWS else "bin"
binary_prefix = os.path.join(sys.prefix, binary_directory)
# Try to use pip[X[.Y]] names,... | 58f6e6d409b321b323590c22db08aa755b928fff | 3,618,213 |
import random
import json
def next_task():
"""
To fetch data at this endpoint:
$ curl -X GET localhost:8080/api/v0.1/task
"""
db = pybackend.database.Database(
project=app.config['cloud']['project'],
**app.config['cloud']['database'])
random_uri = random.choice(list(db.uris(k... | ae4e42613c17ccff6a04fb237ad1a1b396c29c46 | 3,618,214 |
from datetime import datetime
def get_last_ideas(json_data, d=1):
"""
Returns last ideas.
@param: json_data - List of ideas in JSON format.
@param: d - History length in days.
"""
selected_items = []
for item in json_data:
date = format_string_to_date(item['created'])
if da... | 70ee39aa0fb185541d594faab7e443eb7424d242 | 3,618,215 |
def _build_histogram_root_no_hessian(n_bins, binned_feature, all_gradients):
"""Special case for the root node
The root node has to find the split among all the samples from the
training set. binned_feature and all_gradients already have a consistent
ordering.
Hessians are not updated (used when h... | 7876c4e79f02dadba318510c9fd8623933a55ab1 | 3,618,216 |
from typing import Any
from typing import MutableSequence
from typing import Tuple
from typing import Set
from typing import Hashable
def is_pipeline(item: Any) -> bool:
"""Returns whether 'item' is a pipeline."""
return isinstance(item, (MutableSequence, Tuple, Set)
and all(isinstance(i... | c9626f5c9c05be44016239d1592e3a2961ec0a68 | 3,618,217 |
def cluster_state_circuit(bits):
"""Return a cluster state on the qubits in `bits`."""
circuit = cirq.Circuit()
circuit.append(cirq.H.on_each(bits))
for this_bit, next_bit in zip(bits, bits[1:] + [bits[0]]):
circuit.append(cirq.CZ(this_bit, next_bit))
return circuit | b20b34b366bbbfd36f7009d6d78ead2628841998 | 3,618,218 |
import functools
def once(wrapped):
"""
Decorates a function that takes no arguments, ensuring it's only called once & that the result
is memoized. This function is greenlet safe.
"""
wrapped._once_called = False
wrapped._once_retval = None
lock = RLock()
@functools.wraps(wrapped)
... | 9700e5dbb67e6cb7405cb13ca2d9c3bc5c44e8be | 3,618,219 |
import inspect
def get_exposed_members(obj, only_exposed=True, as_lists=False, use_cache=True):
"""
Return public and exposed members of the given object's class.
You can also provide a class directly.
Private members are ignored no matter what (names starting with underscore).
If only_exposed is ... | daefa6230a0e6aad5d54e2f5f45777e1d9f42e57 | 3,618,220 |
def remove_group_project(repo, groupid, username=None, namespace=None):
"""Remove the specified group from the project."""
if not pagure_config.get("ENABLE_USER_MNGT", True):
flask.abort(
404,
description="User management is not allowed in this "
"pagure instance",
... | 3b52052d7242f63c1139144ddc8b7c9bb016aaef | 3,618,221 |
def get_residue_sequence_poly_seq(cf, align_seq=True, verbose=False):
"""
used to work with load_struct_from_pdbfile, now uses load_pdbfile output
:param structure:
:return:
"""
# residue_sequence = list(np.array([[residue.resname.capitalize(), int(residue.id[1])] for residue in
# ... | 161b79385a2fb0c9e6078b440705643dab484683 | 3,618,222 |
import torch
def _demo_head_inputs(input_shape=(1, 512, 8, 8)):
"""Create a superset of inputs needed to run test or train batches.
Args:
input_shape (tuple):
input batch dimensions
"""
(N, C, H, W) = input_shape
rng = np.random.RandomState(0)
features = rng.rand(*input_... | cd313f89ac28cbaf98f1e39cb7760ca393e9e565 | 3,618,223 |
import torch
def load_ckp(checkpoint_fpath,model):
"""
checkpoint_path: path to save checkpoint
model: model that we want to load checkpoint parameters into
optimizer: optimizer we defined in previous training
"""
# load check point
# checkpoint = torch.load(checkpoint_fpath)
ch... | c6d37907ec8a9a90dd11b9a48ceae46d59938aca | 3,618,224 |
def get_config_string(config):
"""
Use the given config to extract one string for the output.
:param config: a dictionary of configs from a Build object
:return: string representation
"""
configs = {}
for key, entry in config.items():
abbrev = entry.get('abbreviation')
value ... | 15c38f062af7900cb457ff5dfbad287a0edb75e3 | 3,618,225 |
def _api_shutdown(name, output, kwargs):
""" API: accepts output """
sabnzbd.shutdown_program()
return report(output) | 795ed94feff5cfb9a9f0f581ab9a705b62f41984 | 3,618,226 |
def combine_loss_components(critic_loss_val, actor_loss_val, entropy_val,
actor_loss_weight, entropy_bonus):
"""Combine the components in the combined AWR loss."""
return critic_loss_val + (actor_loss_val * actor_loss_weight) - (
entropy_val * entropy_bonus) | 1a060140aa3e08944d2e3f4cf1e4603c88e16921 | 3,618,227 |
import json
import logging
def country_filter() -> str:
""" find selected country to gather news from from config.json """
with open('config.json') as config_file:
data = json.load(config_file)
logging.info('Countries for news briefing located')
return data['news_briefing'][0]['country'] | 35cfee9c0239dfef7ad352f2c17c2d3a4d140eb9 | 3,618,228 |
def get_env_agent_current(env = Depends(get_env)) -> str:
"""Returns name of currently expected agent."""
return env.agent_selection | 07bb77fe10919b3ac9ec9401e420cf0fb32d96a0 | 3,618,229 |
import random
import math
def exponential_backoff(attempt_num):
"""Returns an exponential backoff value in seconds."""
assert attempt_num >= 0
if random.random() < _PROBABILITY_OF_QUICK_COMEBACK:
# Randomly ask the bot to return quickly.
return 1.0
# If the user provided a max then use it, otherwise ... | 4be20f57a48a10bf085ae74d36f9b8ef85dc3e01 | 3,618,230 |
from typing import Callable
from typing import Any
import sys
import time
def watchdog(timeout: int | float, function: Callable, *args, **kwargs) -> Any:
"""Time-limited execution for python function. TimeoutError raised if not finished during defined time.
Args:
timeout (int | float): Max time execu... | c2b85b2a1c7887d940baf302e34b1e50b4e6247c | 3,618,231 |
def _stop_container(container):
"""
Force remove a container
"""
try:
logger.info(f'Stopping container {container.id}')
container.remove(force=True)
except:
pass
finally:
return True | 99cff9920c5e1789ec0f83c0b306d406cd47a17c | 3,618,232 |
import warnings
def _wmd(embedding_1, embedding_2, word_freq_1, word_freq_2, constraint_matrix=None):
"""
Calculate the Word mover´s Distance
parameters
---------
- embedding_1 : np.array (distinct words x embedding dimensions) -> embedding of the first article
- ... | 41e2e042eecc330f85124f09def5e707f2d63653 | 3,618,233 |
def converter():
"""Bits to Target"""
bits = int(request.form['bits'], 16)
response = bits_to_target(bits)
return jsonify(response), 200 | d4e2aa29951cfe57f5cd1f1c809683d81b832725 | 3,618,234 |
def _coerce_exceptions(function):
"""
Decorator that causes exceptions thrown by the decorated function
to be coerced into generic exceptions from the hadoop.fs.exceptions
module.
"""
def wrapper(*args, **kwargs):
try:
return function(*args, **kwargs)
except Exception as e:
e.msg = force... | fc10e071b5448c0f859f38bb0df523f1d53b7f64 | 3,618,235 |
def decode_der(cert_der):
"""Decode cert DER string to Certificate object.
Args:
cert_der : Certificate as a DER encoded string
Returns:
cryptography.Certificate()
"""
return cryptography.x509.load_der_x509_certificate(
data=cert_der, backend=cryptography.hazmat.backends.defau... | 007e40763c82c19c9ae9858fd9be0d5115c6e1d9 | 3,618,236 |
def find_threshold_by_precision(precisions, thresholds, p_cutoff):
"""This function finds the lowest index that guarantess a precision
of at leat p_cutoff."""
return thresholds[np.argmax(precisions >= p_cutoff)] | b12990b505ed6ccdd2c5aad615ac21e2f9f9d2bd | 3,618,237 |
def compare_vectors(phi, index1, index2):
"""
A function which compares the directions of two vectors given by polar co-ordinates.
The two vectors are identified as being in the same (or opposite) directions for x and y.
The returned array indicates which one of 4 possible alignments the two vecto... | 11f033aa980c2883ad8d1bc5dafe01da917fd6b6 | 3,618,238 |
def cmplx(a,b,*vars):
"""
See VSIP specification for Information
Convert Convert real, imaginary (a,b) into complex
Usage:
cmplx(a,b,c)
where
a and b are views of type vview_f or vview_d
c is a compliant view of type cvview_f or cvview_d
OR:
c = cmplx(a,b)
... | dd98372ca40fc9199ad556e752afa186686826aa | 3,618,239 |
import os
import logging
def pull(remote_path, local_path=None):
"""Download a file from the device.
Arguments:
remote_path(str): Path or directory of the file on the device.
local_path(str): Path to save the file to.
Uses the file's name by default.
Return:
The conte... | 4da1e3b53fbddc75d7f69ea3b19ab8fcddaab76c | 3,618,240 |
def build_vtk_colormap(colormap, vtk_colormap=None) :
""" Build either a ``vtkLookupTable`` or a ``vtkColorTransferFunctionWithAlpha``
from the given colormap. The colormap is specified as a
custom table -- which must respect the formats of the dictionaries
defined in :func:`build_lookup... | 3d85011fe2ba6c243192a9955d56d759dc659a23 | 3,618,241 |
def _get_message_from_model(message_model):
"""Converts the FeedbackMessageModel to a FeedbackMessage.
Args:
message_model: FeedbackMessageModel. The FeedbackMessageModel to be
converted.
Returns:
FeedbackMessage. The resulting FeedbackMessage domain object.
"""
return ... | e67876b3e044475a66b06c7146df399c0a5894f2 | 3,618,242 |
import traceback
def get_survey_ids():
"""
categoryIdを元に、予約データのsurveyIdを取得する
"""
command = []
command.append('aws')
command.append('dynamodb')
command.append('scan')
command.append('--table-name')
command.append(table_name_survey_results)
command.append('--profile')
command... | 1ff7522aa1502e96bfc83c9613de6796cdb608ae | 3,618,243 |
def list_tracker_issue_field_value(tracker_id: str, field: str, project=None):
"""
GET /api/tracker/{tracker_id}/issue_field/{issue_field_id}
:param tracker_id:
:param field:
:param project:
:return:
"""
try:
return {
'title': 'Succeed to list Issue Field Value from t... | 8d0e404c06fde6339c4f1d2dd9b30ddd90f54c8e | 3,618,244 |
def isogenies_5_1728(E):
"""
Returns a list of 5-isogenies with domain ``E`` when the j-invariant is
1728.
OUTPUT:
(list) 5-isogenies with codomain E. In general these are
normalised; but if `-1` is a square then there are two
endomorphisms of degree `5`, for which the codomain is the sam... | 43a1ef6e70deedcf90c67ce3da86323fa472da69 | 3,618,245 |
from typing import Any
def _parse_link(link: str) -> Any:
"""Parse rapid upload link
Format 1: cs3l://<content_md5>#<slice_md5>#<content_crc3>#<content_length>#<filename>
Format 2: <content_md5>#<slice_md5>#<content_length>#<filename>
Format 3: bdpan://{base64(<filename>|<content_length>|<content_md5... | 31dadddaa8cba85ccc954e3176b4fe2be9546bb3 | 3,618,246 |
def change_zone_to_coordinates(changing_data, which=None):
"""
Change zone data into coordinate.
Get data with zone data and add coordinate data into original data. Last modified: 2019-11-24T22:19:49+0900
Args:
changing_data (DataFrame): Mandatory. The DataFrame which contains zone data.
... | 7da7f0f6d2468a87234f50cc39843ab08dcf17d6 | 3,618,247 |
def create_unwarp_workflow(name="unwarp", fieldmap_pe=("y", "y-")):
"""Unwarp functional timeseries using reverse phase-blipped images."""
inputnode = Node(IdentityInterface(["timeseries", "fieldmap"]), "inputs")
# Calculate the shift field
# Note that setting readout_times to 1 will give a fine
# ... | eb7c5b94fbeeb7c5cc9eddb281b629c1da68a8f2 | 3,618,248 |
from datetime import datetime
import os
def main(dt=None):
"""Encodes the sample data-set.
Returns path to where sample data file was saved.
"""
if dt is None:
dt = datetime.datetime.now()
filepath = os.path.abspath(os.path.join(os.path.dirname(__file__), "..",
"sample.unk"))
... | 56e0920376664b7cd4dcdcf9e6d70e41e257c8a5 | 3,618,249 |
def leadterm(e, x):
"""
Compute the leading term of the series.
Returns
=======
tuple
The leading term `c_0 w^{e_0}` of the series of `e` in terms
of the most rapidly varying subexpression `w` in form of
the pair ``(c0, e0)`` of Expr.
Examples
========
>>> lea... | b42f5edd78751576c32cda0b5729afc763a4493c | 3,618,250 |
import os
import shutil
def write_recal_bam(data, region=None, out_file=None):
"""Step 2 of GATK recalibration -- use covariates to re-write output file.
"""
config = data["config"]
if out_file is None:
out_file = "%s-gatkrecal.bam" % os.path.splitext(data["work_bam"])[0]
logger.info("Writ... | c39da5490534c6430a2b5c23ec23d895323bfbfe | 3,618,251 |
def delete_group_resource_permissions_view(request):
"""
Delete a permission from a specific resource for a group.
"""
group = ar.get_group_matchdict_checked(request)
resource = ar.get_resource_matchdict_checked(request)
permission = ar.get_permission_multiformat_body_checked(request, resource)
... | 442d75af042feb96a3a6c47945e90db87f0bb1c0 | 3,618,252 |
def get_bins(data):
"""Return bin edges for all unique values in data. """
bins = np.unique(data)
return np.append(bins[~np.isnan(bins)], max(bins) + 1) | ebdcc658d7d1f6fc34865a9ee2e199c5b86e9c58 | 3,618,253 |
def filter_in_out_by_column_values (column, values, data, in_out):
"""Include rows only for given values in specified column.
column - column name.
values - list of acceptable values.
"""
if in_out == 'in':
data = data.loc[data[column].isin (values)]
else:
data = data.loc... | 191fa20edae7f67b245ad31658297d4a114f59fe | 3,618,254 |
def parse_example_proto(example_serialized):
"""Parses an Example proto containing a training example of an image.
The output of the build_image_data.py image preprocessing script is a dataset
containing serialized Example protocol buffers. Each Example proto contains
the following fields:
ima... | a654e1ddcc35b2ec834de7bbc1a99c8fe7764eba | 3,618,255 |
def intersection(set_1, set_2):
"""realisation of two sets intersection(simple set generator inside)"""
return {i for i in set_1 if i in set_2} | d46a206e6c202343615c3b045a8885d8efd56607 | 3,618,256 |
import inspect
def simulated_quantize_compute(attrs, inputs, out_type):
"""Compiler for simulated_quantize."""
assert len(inputs) == 5
assert attrs.sign
assert attrs.rounding == "round"
axis = attrs.axis
data, in_scale, out_scale, clip_min, clip_max = inputs
data = my_print(data, '\n\n***... | 54a54e067da92903eb1af88797104f4035f02899 | 3,618,257 |
def dy(series, n=1):
"""Difference over n years"""
return (series-series.shift(n*series.index.freq.periodicity)) | 1cc0561ea0bed5a11dee8da8d285c5faf402648c | 3,618,258 |
def inad(V1,V2):
""" Inertial advective wind
<div class=jython>
INAD ( V1, V2 ) = [ DOT ( V1, GRAD (u2) ),
DOT ( V1, GRAD (v2) ) ]
</div>
"""
return vecr(dot(V1,grad(ur(V2))),dot(V1,grad(vr(V2)))) | d47240b55401df317fc76fb15d821d9d98406829 | 3,618,259 |
def get_node_log(request, biz_cc_id, node_id):
"""
@summary: 查看某个节点的日志
@param request:
@param biz_cc_id:
@param node_id
@return:
"""
task_id = request.GET.get('instance_id')
history_id = request.GET.get('history_id')
try:
task = TaskFlowInstance.objects.get(pk=task_id, b... | a5365648857caaf46c9cfe132d0d7c2cec33c5d1 | 3,618,260 |
def _app_options(self, url, headers=None, status=None, expect_errors=False):
"""
To be injected into TestApp if it doesn't have an options method available
"""
req = TestRequest.blank(path=url, method='OPTIONS', headers=headers, environ=self.extra_environ)
return self.do_request(req, status, expect_... | 6c78a9a4dc2b7d953fa9c0bacc1fd374a62e287c | 3,618,261 |
from typing import Iterable
from typing import Tuple
def iter_with_final(it: Iterable[E]) -> Iterable[Tuple[E, bool]]:
"""
Change given iterator to new one yielding additional *final* flag.
>>> list(iter_with_final(iter([1, 2, 3])))
[(1, False), (2, False), (3, True)]
>>> list(iter_with_final(it... | 8e4392066353b4226d90df2360ed37837280c1f3 | 3,618,262 |
def remlplen_herrmann(fp,fs,dp,ds):
"""
Determine the length of the low pass filter with passband frequency
fp, stopband frequency fs, passband ripple dp, and stopband ripple ds.
fp and fs must be normalized with respect to the sampling frequency.
Note that the filter order is one less than the filt... | f4d3c2d96b5e15ac909155d5b0cb6d53d439352f | 3,618,263 |
def CreateBooleanIntersection1(curveA, curveB, tolerance, multiple=False):
"""
Calculates the boolean intersection of two closed, planar curves.
Note, curves must be co-planar.
Args:
curveA (Curve): The first closed, planar curve.
curveB (Curve): The second closed, planar curve.
Re... | 13257250aa675ed25d50acd960093c1c8e527980 | 3,618,264 |
def pointer_scope(func):
"""The FDB format has a lot of pointers to structures, so this decorator automatically reads the pointer, seeks to the pointer position, calls the function, and seeks back."""
def wrapper(self, *args, **kwargs):
pointer = kwargs.get("pointer")
if pointer == None:
pointer = self._read_... | a83abfcd0cb9b641aec3125fb267cc6c6f134884 | 3,618,265 |
import re
def create_example_gpt(example: Example, tokenizer: Tokenizer) -> Example:
""" Create example for GPT-[1,2]
Substitute mask with <pad>, and store where the token was placed. During
repr. collection, we'll need it.
Example:
>>> x = 'Most apples are [MASK].'
... tokenizer = transfo... | 1b5c869ea63582ef2fef434d98add37e18200c94 | 3,618,266 |
from enum import Enum
def should_smooth_series(tag: Enum) -> bool:
"""
:param tag:
:return:
"""
if tag is TrainingScalars.training_loss:
return True
elif tag is TrainingScalars.validation_loss:
return True
return False | 5661773451b0edda0bab8fcf32113e74f13ae518 | 3,618,267 |
from typing import Set
from typing import Optional
def load_all_plugins(module_path: Set[str],
plugin_dir: Set[str]) -> Set[Plugin]:
"""
:说明:
导入指定列表中的插件以及指定目录下多个插件，以 ``_`` 开头的插件不会被导入！
:参数:
- ``module_path: Set[str]``: 指定插件集合
- ``plugin_dir: Set[str]``: 指定插件路径集合
... | cc7e7fd5cc6b2479e4ea5c1256ba88bba6031f70 | 3,618,268 |
import inspect
def lineno():
"""Returns the current line number in our program."""
return str( inspect.currentframe().f_back.f_lineno ) | c973d4a0614cd6dafa5e67d0d4dda7f3d347d51a | 3,618,269 |
def positive_rates(df, score_col, label_col, thresholds):
"""Compute false positive and true positive rates."""
tpr = []
fpr = []
for threshold in thresholds:
confusion = confusion_matrix_counts(df, score_col, label_col, threshold)
if (
confusion["tp"] + confusion["fn"] == 0
... | 081cc95b0aa2da7b17065e9aaa7dd54083a69fb2 | 3,618,270 |
def get_phrases():
""" Returns a phrases dictionary of the form <callback>:<list of phrases> """
return _config_object["phrases"] | 43eb77cbac5274b638a5d8bde1c70dfaad339400 | 3,618,271 |
def graham_scan(points: np.ndarray) -> np.ndarray:
"""Find vertices of convex hull around points.
Args:
points: (x, y) coordinates of points.
Returns:
hull: points that are vertices on convex hull.
"""
primary, remaining_points = extract_primary(points)
sorted_points = sort_for... | 38dd708ade892c162067f9275e27d9865cd386e5 | 3,618,272 |
def waitfor(css_selector, text=None, classes=None):
"""
Decorator for specifying elements (selected by a CSS-style selector) to
explicitly wait for before taking a screenshot. If text is set, wait for the
element to contain that text before taking the screenshot. If classes is
present, wait until th... | 13130146441f20cfd424e52e46f2f2e3a7e33d3f | 3,618,273 |
import argparse
def parse_arguments():
""" Parse arguments passed to the script """
parser = argparse.ArgumentParser(description='File uploader to Firebase Storage.')
parser.add_argument('config', help='Path of Firebase configuration file.')
parser.add_argument('--filetoken', dest='filetoken', default... | 1ce3117c64667aa5d50a88bfb64d03bce8b14995 | 3,618,274 |
def grandac(e, a, r, f_e):
"""Returns integrand for probability density of orbital radius where
semi-major axis is a constant
Args:
e (float):
Value of eccentricity
a (float):
Value of semi-major axis (AU)
r (float):
Value of orbital radius (A... | 3e401dae075ceeba52dab250c7d979b23d2f3c85 | 3,618,275 |
def get_default_path(name):
"""this function takes a an import name
and returns the path full bash of the library
if the library is in stdlib"""
name_ = name
if isinstance(name, (DottedName, Symbol)):
name_ = str(name)
if name_ in pyccel_external_lib.keys():
name = pyccel_external... | c19d5e8b06616b1ee595098b4007d21f32117506 | 3,618,276 |
def get_requested_countries(countries, country_names):
"""
gets requested countries for visualization and info
:param countries: list of all available countries for research
:param country_names: list
:return: (list, str)
"""
print(country_names)
# gather the requested information
c... | b96f3b001e5a421c333c366f3cdca656d97fe933 | 3,618,277 |
def retrieve_plain(monitor, object_string):
"""Retrieves the request object as-is (doesn't apply any modification). This
is valid only for objects which are single values (items from a tensor)
:param monitor: either a training or evaluation monitor
:param object_string: string to identify the object to... | 7fc5042422ae70933691202718036703554cff3e | 3,618,278 |
from typing import Any
def unique_id(context: Any) -> str:
"""
Returns a new unique string that can be used as an id="" attribute in HTML.
Usage:
{% with new_id=request|unique_id %}
<label for="input:{{ new_id }}"> I am labelling a far-away input </label>
...
<input id="i... | 53bbf556749243591059e91e5342348abb7e8ce2 | 3,618,279 |
def get_contrast_in_df(df, img, img_name, contrast_type, grating_mask, white_mask, black_mask,
metadata, x0, y0, angle, contrast_prefix=''):
"""helper function that handles inserting the contrast into the df
"""
if contrast_type == 'fourier':
grating_1d = utils.extract_1d_grat... | 7f1f0d5b509666c3fa352889ce099ca9f4d8d9e9 | 3,618,280 |
import time
import logging
import random
def cash(ttl=60, key=None, ver=CURRENT_VERSION_ID, pre="", off=False):
"""
Copyright (C) 2009 twitter.com/rcb
Permission is hereby granted, free of charge, to any person
obtaining a copy of this software and associated documentation
files (the "Software"... | 79add02d254e2fd069be9414a71f0cd47ff0953e | 3,618,281 |
def enquiry_client_add(request):
""" Add new enquiry and see the list of clients """
success_message, error_message = None, None
form = ClientForm
clients = Client.objects.all()
enquiry_form = EnquiryClientForm
enquiry_clients = EnquiryClient.objects.all()
if request.method=="POS... | 00b55395fcc705a0095000f7fe8b43301254ebdd | 3,618,282 |
def transpose(table):
"""
Returns a copy of table with rows and columns swapped
Example:
1 2 1 3 5
3 4 => 2 4 6
5 6
Parameter table: the table to transpose
Precondition: table is a rectangular 2d List of numbers
"""
# LIST COMPREHENSIO... | 2a393a9e3606022d945454da55fd68543e59476b | 3,618,283 |
def memsizeformat(size):
"""Returns memory size in human readable (rounded) form.
"""
if size > 1048576: # 1024**2
return "{0} GB".format(size / 1048576)
elif size > 1024:
return "{0} MB".format(size / 1024)
else:
return "{0} KB".format(size) | 0cd812d83bd85b1e2690e0404a4eb833e2e9824f | 3,618,284 |
def q5():
"""Identifying outliers."""
# Definindo os quartis:
Q1 = countries['Net_migration'].quantile(q= 0.25)
Q3 = countries['Net_migration'].quantile(q= 0.75)
# Intervalo interquartil:
IQR = Q3 - Q1
# Limite inferior:
lim_max = (countries['Net_migration'] < (Q1 - 1.5 * IQR)).sum()
... | 8f4d0f3323720af05020619e381c9533d923f4ad | 3,618,285 |
import torch
def matrix_div(model_out, *derivative_variable):
"""Computes the divergence for matrix/tensor-valued functions.
Parameters
----------
model_out : torch.tensor
The (batch) of matirces that should be differentiated.
derivative_variable : torch.tensor
The spatial variabl... | ed433674ee85895980b9212ac642ab1545d656ab | 3,618,286 |
def flip_dataframe(df, new_colname='index'):
"""Flips table such that first row becomes columns
Args:
df (DataFrame): Data frame to be flipped.
new_colname (str): Name of new column. Defaults to 'index'.
Returns:
DataFrame: flipped data frame.
"""
colnames = [new_... | 3a7c733644e2c67398a511c9dea7fa80845bbecf | 3,618,287 |
def ca65_bytearray(s):
"""Convert a byteslike into ca65 constant byte statements"""
s = [' .byt ' + ','.join("%3d" % ch for ch in s[i:i + 16])
for i in range(0, len(s), 16)]
return '\n'.join(s) | 8bdc868cc659e6b99f01449c6bf41884c0635c14 | 3,618,288 |
import json
import os
def config(args):
"""Find the limit transformations to apply globally."""
reference = json.load(open(os.path.join(SELFDIR, 'reference.json'), 'r'))
# Language specified on the command-line
if args.lang:
if args.lang not in reference:
print("Error: language '%s... | 615b30bdfea9b6f441d7b84e9131e71e6ede95e2 | 3,618,289 |
def read_basis_shell_num(trexio_file) -> int:
"""Read the basis_shell_num variable from the TREXIO file.
Parameter is a ~TREXIO File~ object that has been created by a call to ~open~ function.
Returns:
~num_r~: int
Integer value of basis_shell_num variable read from ~trexio_file~.
Rai... | 831962f686ecaf22c199eaf6d0c87eb9d7269410 | 3,618,290 |
from typing import Optional
from typing import Any
def get_codec(
cls: AnyType,
/,
*,
using: Optional[Codec[Any]] = None,
fallback: bool = False,
) -> Result[Codec[Any], TestplatesError]:
"""
Retrieves codec from structure type.
If there are multiple codecs attached to given
stru... | 0a011b8b11038a45d42bf5a70559cea54a6ab6f1 | 3,618,291 |
import os
def convert_to_pdf(input_path):
"""
Use external tools to convert the powerpoint file to a pdf.
Returns:
path of converted file
"""
path, extension = os.path.splitext(input_path)
if extension not in ['.ppt', '.pptx']:
raise ValueError("{0} not a valid powerpoint extension".format(exten... | aef761b559d32d6f75790cf41d07f80fb7933308 | 3,618,292 |
def convert_db_fetch_to_df(fetched, column_names=None):
"""
This method converts the cursor.fetchall() output of SELECT query into a Pandas dataframe.
:param fetched: the output of SELECT query
:type fetched: list of row tuples
:param column_names: column names to use for the dataframe
:type col... | f2ffdb2472076fd034e7d16b8cc42893358bf866 | 3,618,293 |
def get_synsets(s):
"""Suggested helper method for `synset_featurizer`. This should
be completed so that it returns a list of stringified Synsets
associated with elements of `s`.
"""
# Use `parse_lem` from the previous question to get a list of
# (word, POS) pairs. Remember to convert the PO... | 98ce2c1ce849d2771ab2bae03e0e740c8c3de32e | 3,618,294 |
from typing import List
from typing import Any
from typing import Callable
def tpe_submit_commands(
cmds: List[Any],
thread_count: int,
timeout: int,
fn: Callable = subprocess_commands_pipe,
di=DI,
) -> list:
"""Run commands on multiple threads.
Stdout and stderr are logged on function su... | ff8d18490b1184625ee6121ad5cf50dd7446b463 | 3,618,295 |
def register():
"""Register new user."""
form = RegisterForm(request.form, csrf_enabled=False)
if form.validate_on_submit():
User.create(username=form.username.data, email=form.email.data, password=form.password.data, active=True)
flash('Thank you for registering. You can now log in.', 'succ... | 8847e4153e0e9767298debe4f7c480c3b344327e | 3,618,296 |
def ind2latlon(index, filePath):
"""
Use gdal/osr to get latlon point location from georeferenced array indices
"""
# Load georeferencing
ds = gdal.Open(filePath)
proj = ds.GetProjection()
gt = ds.GetGeoTransform()
srs = osr.SpatialReference()
srs.ImportFromWkt(proj)
x0 = gt[0] ... | 55c8005c8106905370631c5a990b2835c0b5b322 | 3,618,297 |
def is_response_paginated(response_data):
"""Checks if the response data dict has expected paginated results keys
Returns True if it finds all the paginated keys, False otherwise
"""
try:
keys = list(response_data.keys())
except AttributeError:
# If we can't get keys, wer'e certainl... | 521c28c1d6e29e5785b3bcbd5d2604210b3a3874 | 3,618,298 |
from ..article.models import Tag, Category
from ..travel.models import Province
from datetime import datetime
def get_context(*args, **kwargs) -> dict:
""" context 导航栏信息 """
model_list: dict[object:tuple, ...] = {
Tag: ('id', 'name'),
Category: ('id', 'name'),
}
# # 初始化 context
... | 12d9a6b1262a2a760474c21b410c95ba564b2ae4 | 3,618,299 |
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