content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def _gen_3d_examples(x1_size: float, x2_size: float, num_examples: int,
noise_prob: float):
"""Generates 3D examples
Each example has coordinates [x1, x2] where:
- x1 is on interval [0, x1]
- x2 is on interval [0, x2]
Args:
x1_size: Size of first axis.
x2_s... | cb0837163a9293c1ee7f9a3935cace420000547c | 39,932 |
from typing import List
def get_target_args(args: List[Arg]) -> List[Arg]:
"""Given args for a controlled operation, get the args that are being acted on"""
return [arg for arg in args if arg[0] < 2 and arg[1] > -1] | 6497788de387cb752dd7af5fe44377aefd38ebfe | 39,933 |
def gen_stats_grouped_accum(_, group_type):
"""
Args:
_: Http Request (ignored in this function)
group_type: Keyword defining group label (day,month,year)
Returns: Activities grouped by (day or month or year) wrapped on response's object
"""
error_messages = []
success_messages = []
status = HTTP_200_OK
... | 9a743c1af582288d7d2e67496c1b1a5f5aec180a | 39,934 |
def ClassWeightedLabelSmoothingLoss(real,pred,weights,vocab_size,epsilon):
"""
pred (FloatTensor): batch_size x seq_len x vocab_size
real (LongTensor): batch_size x seq_len
weights (FloatTensor): vocab_size
"""
real = tf.cast(real,tf.int32)
real_onehot = tf.one_hot(real,depth=vocab_size)
... | 4a67e21f32391589da5297565849f63cd5390b38 | 39,935 |
def get_compilation_step_args(session, task):
"""Prepare arguments passe to each compilation step."""
latex_document = _get_node_from_dictionary(
task.depends_on, session.config["latex_source_key"]
).value
compiled_document = _get_node_from_dictionary(
task.produces, session.config["late... | ff3f7cfaa2985deb93515d4ad639ab224dc39fa4 | 39,937 |
def persistent_q_learning(
q_tm1: Array,
a_tm1: Numeric,
r_t: Numeric,
discount_t: Numeric,
q_t: Array,
action_gap_scale: float,
stop_target_gradients: bool = True,
) -> Numeric:
"""Calculates the persistent Q-learning temporal difference error.
See "Increasing the Action Gap: New Opera... | ed8a3ee5f88f604394f64e6759161d9692638ff3 | 39,938 |
def preprocess_data(tokenizer, task):
"""Preprocess dataset to test."""
log.info('Loading dev data...')
if task == 'QA':
# question_answering
batchify_fn = nlp.data.batchify.Tuple(
nlp.data.batchify.Stack(),
nlp.data.batchify.Pad(axis=0, pad_val=vocab[vocab.padding_to... | 72997e909944b9722669958278009393ffb6d604 | 39,939 |
def do_with_retry(func, *args, **kwargs):
""" Tries a function 3 times using exponential backoff
according to Google API specs. Optional kwargs:
`_attempts` - override the number of attempts before giving up.
`_catch` - tuple of exception types used in `except types as e`.
"""
MINIM... | daef1d5a87d0d287fbc55baddefedaf1ae2edd4c | 39,940 |
def to_int(s):
"""convert a string to an integer with PRECISION"""
assert isinstance(s, str) # don't convert twice!
result = int(float(s) * PRECISION)
return result | da57a39bfa545a1058ab98f6ad5d786fc5bbbbce | 39,941 |
def cast(value):
"""
Casts a RETS value into a Python data type
Since RETS servers can return non-Boolean strings (like 'yes' or 'no') or
numeric values (namely 0 or 1) for Booleans, these values are left alone
and are NOT cast into Python Booleans. Application developers should
decide on a cas... | 4bf96080c555014907462ef09675a46ac50591e9 | 39,942 |
def submit_txn_sold():
"""
Endpoint to create a new transaction via our application.
"""
guid = request.form["guid"]
fish = fetch_fish(guid)
if fish == None:
# Error looking up fish. It might not exist?
print("Fish is None")
return redirect('/')
lastConsumption = fi... | ae4af629531d432f83c75d5bc12b4846e5f553d4 | 39,943 |
from datetime import datetime
def validate_calendar_date(date_to_validate):
"""Checks to see if date (yyyy, yyy-mm, or yyyy-mm-dd) is a
valid Gregorian calendar date.
"""
parts = str(date_to_validate).split('-')
if len(parts) == 3:
year = parts[0]
month = parts[1]
day = ... | afdd7a2a1586e66fa26340424e791be805a4b57e | 39,945 |
def ListMessagesMatchingQuery(service, user_id, query=''):
"""List all Messages of the user's mailbox matching the query.
Args:
service: Authorized Gmail API service instance.
user_id: User's email address. The special value "me"
can be used to indicate the authenticated user.
query: String used to filter me... | c80b7afc4d52250038bdd8c1c3b2f6d860e41423 | 39,947 |
import time
def convert_time(t):
"""Takes epoch time and translates it to a human readable version"""
return time.strftime('%Y-%m-%d', time.localtime(t)) | e591e32e30a8ceb81c9934f4e67556896a56b79a | 39,949 |
import typing
import types
def convert(
value: typing.Any,
*,
schema: oa_types.Schema,
read_only: typing.Optional[bool] = None,
) -> types.TOptObjectDict:
"""
Convert object schema value to dictionary.
Args:
value: The value to convert.
schema: The schema for the value.
... | 7b195dffe6190dbb6bc4b0d96d91a5340fa5816e | 39,950 |
def _get_proto_summaries(
proto_expressions
):
"""Gets the proto summaries."""
result = [] # type: List[ProtoRequirements]
for expr in proto_expressions:
def get_summary(tensor_of_protos, desc):
for summary in result:
if id(summary.tensor) == id(
tensor_of_protos) and summary.d... | eaaa5bbf2e279997afc102a254fb0e6a07c083da | 39,952 |
from typing import List
from functools import reduce
def singleNumber(nums: List[int]) -> int:
"""
思路：排序，哈希，位运算(异或) 0^1 = 1, 1^1 = 0
"""
# n = 0
# for val in nums:
# n ^= val
# return n
return reduce(lambda x, y: x ^ y, nums) | 444b2e2685d42bcc717d95058a6c86dc4da31609 | 39,953 |
def getPort():
"""
Retreives the current TCP port.
Returns:
hostIP(str): Current TCP port
"""
return port | c9e589df3abaef21f324b98a9b4508319409dae6 | 39,954 |
def setup_prior(prior=None, num_causes=None):
"""Setup for prior array
Parameters
----------
prior : array_like, optional
Prior distribution to use. If not specified, each cause bin will be
assigned an equal probability (default is None, and uniform prior will
be used).
num_... | 1301833c7801e0ce8df1e9f1c61de64665f9a2d5 | 39,955 |
def get_intact_complex_portal_xrefs_df() -> pd.DataFrame:
"""Get IntAct-Complex Portal xrefs."""
df = _get_complexportal_df()
df['source_ns'] = 'intact'
df['target_ns'] = 'complexportal'
df['source'] = COMPLEXPORTAL_MAPPINGS
df = df[['source_ns', 'source_id', 'target_ns', 'target_id', 'source']]... | 8bc35dc888c5b6e5652fabdf99d92eddcc59c249 | 39,956 |
def normalize_img(image, label):
"""Normalizes images: `uint8` -> `float32`."""
return tf.cast(image, tf.float32) * 255, label | c91c747b04fdcc876859907cec826563020daba4 | 39,957 |
def valid_box(box, host_extent):
"""Returns True if the entire box is within a grid of size host_extent.
input arguments (unmodified):
box: numpy int array of shape (2, 3)
lower & upper indices in 3 dimensions defining a logical cuboid subset of a 3D cartesian grid
in python protocol... | c6b1bc144e23b35002a1fbf17d4e02d9ba904655 | 39,958 |
import numpy as np
from scipy.interpolate import interp1d
def spec_stich_n_norm(spec, wave, cont, sig):
"""This stitches and continuum normalises CARMENES E2DS spectra into 1D spectra for use in
molecfit.
N. Borsato - 24-02-2021"""
#These arrays will be filled with the stiched data.
Total_Specs ... | 7ffc89b7d3b3ca2898f2e990c67d712f28c0cfba | 39,959 |
def average(self, key_selector=None):
"""Computes the average of an observable sequence of values that are in
the sequence or obtained by invoking a transform function on each
element of the input sequence if present.
Example
res = source.average();
res = source.average(lambda x: x.value)
... | a9ecd7c4509a3a3203f96bc9fd33bc453fb76ba7 | 39,960 |
def disparate_impact_remover(structured_data):
"""
Perform disparate impact removal from dataset and convert to pandas dataframe.
Parameters:
aif_standard_data (aif360.datasets.standard_dataset.StandardDataset): Structured dataset.
Returns:
data_transf_df (pandas dataframe): Pandas dat... | 950549d2bd042890830c9adc389d6e46ceed3fff | 39,961 |
def PyDateTime_DATE_GET_SECOND(space, w_obj):
"""Return the second, as an int from 0 through 59.
"""
try:
return space.int_w(space.getattr(w_obj, space.newtext("second")))
except OperationError:
return 0 # see comments in PyDateTime_DATE_GET_HOUR | 8b64a6ed2fa7cd57d5a79646f8bbc381ca0972fc | 39,962 |
def get_market_tops(symbols=None, **kwargs):
"""
Top-level function to obtain TOPS data for a symbol or list of symbols
Parameters
----------
symbols: str or list, default None, optional
A symbol or list of symbols
kwargs:
Additional Request Parameters (see base class)
"""
... | 081bccdedf7dfe888c6508a6df1cbb0deada3da7 | 39,963 |
def has_all_params_ortho(**params) -> bool:
""" Returns True, if all 12 keys of an orthotropic material are provided."""
return len(missing_params_ortho(**params)) == 0 | 52d30d36dbd7e52119353af177fa10d0a24513c2 | 39,964 |
def hgw_init():
"""Instantiate all the needed objects and setups references between them."""
collector = DataCollector()
cabinet = FilingCabinet()
broker = MessageBroker()
adc = AsynchronousDataCarrier()
sdc = SynchronousDataCarrier()
# NOTE: collector -> cabinet <-> broker <-> carrier
collector.cabinet = ca... | bc375a934151b08f8e7ce075491ec753a6ca409e | 39,965 |
def piechartgrid(x='None', y='None', data='None', legendmode ='on', legendposition = 'auto',
subfigsize=(2,2), dpi=100, latex=True, **kwargs):
"""Generates a of pie charts for categorial data. Based on the unique values in dataframe columns ``x`` and ``y`` the grid of subplots is constructed
and the associate... | ddc441657fcc5db41b7e6723bb648f1866ebea69 | 39,966 |
def fix_curie(curie:str) -> str:
"""
Biothings explorer has some very weird curie prefixes, like "HP:HP:0012092"
and "MESH.DISEASE:ICD10CM:E11.8". This method chooses the first prefix that
appears in the response of the bioentities endpoint. If it can't fix the
curie then it returns it.
Example... | d92b4a51390506e64f840c7a2acb7efd9cd29ef9 | 39,967 |
def answer(request, question_id):
"""
Add an answer to a question
"""
question = get_object_or_404(Question, pk=question_id)
try:
answer_text = request.POST.get('answertext')
if answer_text:
# check to make sure that a new answer was entered and then save it
... | 96b18ee4a14b861c018c28c638b436c7d6bcffab | 39,968 |
def map_genome_events(time, domains, header):
"""Map a genome's properties to its state
Args:
time: time of the current state
domains: dictionary of the genome. keys are gene names, values are the genome objects
header: csv header to make sure we have the values in the right order
Re... | bf59018ab32ae200ef71ba2256863a62305600a3 | 39,969 |
def replace_check_sum(data):
"""
data[2:-2]のチェックサムを計算し
data[-2:]を置き換える
@param data データ。4バイト以上の長さが必要
@return 最終2バイトをチェックサムに置き換えたデータ
"""
cksum = 0
for i in range(2, len(data) - 2):
cksum += data[i]
return data[:-2] + pack('BB', cksum % 256, cksum // 256) | f7e444d6ca166e73503f5635189f2d9695d7635a | 39,970 |
def conv3x3(in_channels, out_channels, stride=1, padding=1, dilation=1):
"""3x3 convolution"""
return nn.Conv2d(
in_channels,
out_channels,
kernel_size=3,
stride=stride,
padding=padding,
dilation=dilation,
bias=False,
) | a18e885a6d3a08ac242d9966f6bb0b19b9360d90 | 39,971 |
import json
def set_event_type(request, event_id):
"""
Set event type. Should be an AJAX POST.
:param request: Django request object (Required)
:type request: :class:`django.http.HttpRequest`
:param event_id: The ObjectId of the event to update.
:type event_id: str
:returns: :class:`djang... | ad437ded87ca01f2dc4017810ba7d41b24ed5e47 | 39,972 |
def rect(x: np.ndarray) -> np.ndarray:
"""
Rectangle function.
"""
try:
return np.array(
[
1.0 if (x_i < 0.5 and x_i > -0.5) else 0.
for x_i in x
]
)
except:
return 1.0 if (x < 0.5 and x > -0.5) else 0. | 9c65576b6d0e3f6bf915517a1f10648c92626404 | 39,973 |
async def challenge(msg, mobj):
"""
The Challenge
Picks a random Dota 2 hero to play and gives you 3 items to work towards
Optional: supply a hero and get the 3 items to play (sd/ap/rd applicable)
Example: !challenge
-> Bloodseeker: Guardian Greaves, Abyssal Blade, Dagon
"""
ms... | edcd9c99e589d148f9ce8494aeac9b88e81811f1 | 39,974 |
from typing import Sequence
def generate_pydot_graph(root, visibility_level):
"""
Generate the pydot graph - this is usually the first step in
rendering the tree to file. See also :py:func:`render_dot_tree`.
Args:
root (:class:`~py_trees.behaviour.Behaviour`): the root of a tree, or subtree
... | 937a1d97e4a029a22e86cf8573df18b64b13ad14 | 39,976 |
def _lookahead(param, lookahead_ema, step, beta_lookahead=0.5, lookahead_every_nth_iter=4):
"""lookahead at the param level instead of group level"""
condition = step % lookahead_every_nth_iter < 0.5 # == 0. but inexact to deal with roundoffs
lookahead_ema = jnp.where(condition, beta_lookahead*lookahead_ema... | 2a5faedcaad366a015549f9246b3608900fc5363 | 39,978 |
import dill as cPickle
import cPickle
def load_pickle(h5f, safe=True):
""" Deserialize and load a pickled object within a hickle file
WARNING: Pickle has
Parameters
----------
h5f: h5py.File object
safe (bool): Disable automatic depickling of arbitrary python objects.
DO NOT set this to Fal... | 7fe94a91c331fbf685f2dbc7cbeb09c2d16c3b2a | 39,980 |
from typing import Generator
def dataset_using_generator(samples, reader, **kwargs):
"""
A generator class which wraps samples so that they can
be used with tf.data.Dataset.from_generator
Parameters
----------
samples : [:obj:`object`]
A list of samples to be given to ``reader`` to loa... | f95a00ba20aaa99afe673628aa55f17106e1914f | 39,981 |
import yaml
def yaml_dump_result(obj, stream):
"""Redefinition of yaml.safe_dump with added float representer
The float representer uses float precision of four decimal digits
"""
def float_representer(dumper, value):
text = '{0:.4f}'.format(value)
return dumper.represent_scalar(u'tag... | 55a8a06e918276060505224a680e1cb136d4a541 | 39,983 |
import time
from bs4 import BeautifulSoup
def scrape_last_patch_change(names, save=True):
"""
Scrapes the last patch in which each champion was changed from League Wiki
and saves them to a csv file, but returns nothing
Parameters
----------
names : pandas series
Contains the c... | cd1ddc78192f145c97bfb1e2be5edd00af38439b | 39,985 |
def delete_all():
""" Delete all predictions in the database.
Args:
None.
"""
return Prediction.objects.all().delete() | 011f5332d568195b639b41104354584fd9ede600 | 39,986 |
def strip_readonly(model: ModelNormal):
"""Strip read only fields before sending to server"""
for field in [
elt
for elt in model.attribute_map.values()
if hasattr(model, elt)
and isinstance(
getattr(model, elt),
(models.Id16ReadOnly, models.Id16ReadOnlyNu... | 412f87ea0b17996dea8fb939412bc736b59dccfa | 39,987 |
def get_stock_rack_assembler(entity, rack_barcodes, excluded_racks=None,
requested_tubes=None, include_dummy_output=False,
**kw):
"""
Factory method generating a stock rack assembler (XL20 worklist generator)
tool for the passed entity. The generator... | f9a7aed7c2c4d9c55736fb2b4c1512ec34e35cf4 | 39,988 |
import string
import random
def random_string(length=-1, charset=string.ascii_letters):
"""
Returns a random string of "length" characters.
If no length is specified, resulting string is in between 6 and 15 characters.
A character set can be specified, defaulting to just alpha letters.
"""
if ... | 170082275e16d19d6e2bd37178e1c654b75ef261 | 39,989 |
def rho_NFW(r, rs, rhos):
"""
The density profile [GeV/cm**3] of an NFW halo.
Parameters
----------
r : the distance from the center [kpc]
rs : the NFW r_s parameter [kpc]
rhos : the NFW rho_s parameter [GeV/cm**3]
"""
res = rhos/(r/rs)/(1.+r/rs)**2
return res | 3b8f97713610c1622815e15f13a75d39ad7e64ba | 39,990 |
def _load_local_auth():
"""Returns a LocalAuthParameters tuple from LUCI_CONTEXT.
Returns:
LocalAuthParameters for connecting to a local auth server.
Raises:
BadLuciContextParameters if file is missing or not valid.
"""
data = luci_context.read('local_auth')
if data is None:
raise BadLuciConte... | f1bf1f5ab11723956c81a3d852dc9094d0bef8b3 | 39,992 |
def ifequal(parser, token):
"""
Output the contents of the block if the two arguments equal each other.
Examples::
{% ifequal user.id comment.user_id %}
...
{% endifequal %}
{% ifnotequal user.id comment.user_id %}
...
{% else %}
...
... | 18ef87d1c957620083a493661f90f92aa831c13d | 39,993 |
from skimage.metrics import structural_similarity
def ssim(x: np.ndarray, y: np.ndarray) -> float:
"""Calculate the structural similarity metric (SSIM) between images.
Note:
This function requires skimage.
"""
assert x.dtype == y.dtype
return structural_similarity(x, y, channel_axis=2, ... | 6183c839168a9043c39c12d722142b8de751b1b4 | 39,994 |
def get_config_data(request):
"""
Sends form configuration data to the frontend.
This allows clientside validation to mirror serverside validation.
"""
return JsonResponse({
"nameMaxLength": settings.CONTACTFORM_NAME_MAX_LENGTH,
"organizationMaxLength": settings.CONTACTFORM_ORGANIZA... | e93e6b790af947008410bf99ce76f1e10f8caeb3 | 39,995 |
def read(fileObj, securityTrader=None, _flowType=None):
"""
读取 excel 文件，并返回
:param fileObj: 已经打开的 file 文件实例，限制 file 实例是为了可以不依赖磁盘文件，直接使用内存
:param securityTrader: 对应的券商
:param _flowType:
:return:
"""
flowing = Flowing.open(fileObj, securityTrader)
return flowing | 90d34bde95d80cc91c5868e44c9880be3adf1d67 | 39,996 |
def register_for_init_call(m):
"""
Decorator that tags a method to be called at the end of processing cmds.
NOTE: This decorator MUST BE the outermost decorator used on a method
decorated with multiple decorators! The custom user attributes
of a method aren't preserved in python 2.7 even... | 8d10aadd600e2e83089d0095d320a8b2a2aac3e1 | 39,998 |
def breakup_names(df):
"""Breakup full name into surname, title, first name"""
df[['surname','given_name']] = df['Name'].str.split(",", expand= True)
df[['title', 'first_name']] = df['given_name'].str.split(n=1, expand= True)
df = df.drop(columns=['Name', 'given_name'])
return df | ee76975b88702daf47fa9638c4d1217ca22e1e6e | 39,999 |
import typing
def get_state_change_with_balance_proof(
storage: sqlite.SQLiteStorage,
chain_id: typing.ChainID,
token_network_identifier: typing.TokenNetworkID,
channel_identifier: typing.ChannelID,
balance_hash: typing.BalanceHash,
sender: typing.Address,
) -> sqlite.S... | e8e7d3ec2e77ddd34fc9a667ffb163e9e6348e32 | 40,003 |
import random
def best_down_collapse(X,kX,dimq,signal):
"""Returns the down-collapse V which minimize the topological reconstructione error ||s-phi*_Vpsi*_V(s)|^2
"""
s=np.array(signal)**2
Bq=kX[dimq]
BT=Bq.copy()
C=BT.tolil()
ind=C.rows
possible_min_WQ=[]
possible_min_value=[]
... | 2af47e329fea00db7cab5e8e8cb56099cf3e2a5a | 40,004 |
def evaluate_lambda_t(t, phi_start, linear, phase0):
"""
Evaluates firing rate(t, x) = tuning_curve(x) * theta_modulation(t, x) at given time points
:param t: sample time points
:param phi_start: starting point of the place field (in rad)
:param linear: flag for circular vs. linear track -> slightly... | 04a6830e34945dea83c70c5fca969c09bf17594e | 40,005 |
import struct
def _mapc(ctx, input_files, resource_info):
"""Creates actions that compile a Core Data mapping model files.
Each file should be contained inside a .xcmappingmodel directory.
Args:
ctx: The Skylark context.
input_files: An iterable of files in all mapping models that should be
... | 2c38e2b69f30763b31ab3b9d4b88deeb3e4dcbf7 | 40,006 |
from pathlib import Path
def image_content_type(outfile: Path) -> str:
""" Derives a content type from an image file's suffix """
return f"image/{outfile.suffix[1:]}" | 4c1545dbdcaa31826fd8567cabe2935ed7237961 | 40,007 |
def play_again() -> str:
"""Ask the user if he wants to play another turn"""
yes_or_no = input('Play again? [y/n]: ')
while yes_or_no not in ['y', 'n']:
yes_or_no = input('Please insert "y" or "n": ')
return yes_or_no | 8b3d74456b7ce13a0ffffab8dc9e946cbb5e594c | 40,008 |
def create_session (user, is_trusted):
"""
Perform user authentication User.password and role activations.
This method must be called once per user prior to calling other methods within this module.
The successful result is Session that contains target user's RBAC User.roles.
This API will...
... | c87c2e58420dca6923cf251736728e9320aa1bde | 40,009 |
def ansi_wrap(value: str, width: int = 80, left_pad: int = 6) -> str:
"""Wrap characers relative to their cell width."""
decoded_text = decode_ansi(value)
wrapped_text = "\n".join(_wrap_ansi(decoded_text, width=width, left_pad=left_pad))
return wrapped_text | 611eacafdb15d99aaa7f20a2b0af61c23f402d12 | 40,010 |
def hashcolumns(dframe, columns, maxval):
""" Hash each value of multiple dataframe columns. """
columnvals = list(zip(*(dframe[col] for col in columns)))
return list(hashval(v, maxval) for v in columnvals) | 0cec3d573c743459ef40e6c877cd32eb7e48d7fb | 40,011 |
import random
def random_triangles(n=3):
""" Draw n triangles which can overlap """
coords = []
for i in range(n*3):
coords.append([random.random()*5, random.random()*5,random.random()*5])
coords = np.array(coords)
faces = []
for i in range(n):
faces.append([i*3, i*3+1, i*3+... | c7fb47b0c8054d052d1f3e883a62111fb67c563a | 40,012 |
def get_config():
"""Get the default hyperparameter configuration."""
config = ml_collections.ConfigDict()
config.problem = "classification"
config.env_model = "MLP"
config.agent = "KalmanFilter"
config.seed = 0
config.nsteps = 20
config.ntrials = 20
config.train_batch_size = 1
... | dee1e80ad054c3dbaf543a36eb00b0ae88ae2475 | 40,013 |
def make_vbox(model_dict: dict) -> widgets.VBox:
"""
:param model_dict:
:return:
"""
labels = []
for k in model_dict:
if type(model_dict[k]) is not dict:
string = str(model_dict[k])
labels.append(make_setting_hbox(k, string))
else:
mini_labels... | cde09236834d63fcb3e2067d2dffe2a02f164a22 | 40,015 |
def UserTypingFilter(cli):
"""Determine if the input field is empty."""
return (cli.current_buffer.document.text and
cli.current_buffer.document.text != cli.config.context) | 420b24cdeb17cb97294a937e49096c5462d4061e | 40,016 |
from typing import Sequence
def create_myst_config(
settings: frontend.Values,
excluded: Sequence[str],
config_cls=MdParserConfig,
prefix: str = "myst_",
):
"""Create a configuration instance from the given settings."""
values = {}
for attribute in config_cls.get_fields():
if attri... | c01965aa451b871cf7a37a5470f121122ac9132b | 40,017 |
def scale_image(image, new_width=600):
"""
scales the image to new_width while maintaining aspect ratio
"""
new_w = new_width
(old_w, old_h) = image.size
aspect_ratio = float(old_h)/float(old_w)
new_h = int(aspect_ratio * new_w)
new_dim = (new_w, new_h)
image = image.resize(new_dim)
... | e9bfdf6309cf97b1a7f44dff96b655aa09d64fd5 | 40,019 |
def get_container_metadata(item):
"""Extract desired metadata from Docker container object."""
if type(item) is str:
return item
tags = getattr(item, 'tags', None)
if tags is not None:
return tags[0]
else:
return str(item) | bf805e33f17dc664a62989f36ae164ee3c348b3e | 40,020 |
def leaky_relu(alpha=0.1, name='LeakyReLU', collect=False):
"""Modified version of ReLU, introducing a nonzero gradient for negative input.
Args:
alpha: `int`, the multiplier.
name: operation name.
collect: whether to collect this metric under the metric collection.
"""
def _le... | de44b67e4dcd3e84e86aca8b00ec57f37b5f4c69 | 40,021 |
def show_sample_attributes(request):
"""
show the user-defined sample attribute home page
"""
ctxd = {}
ctx = RequestContext(request, ctxd)
return render_to_response(
"rundb/sample/sampleattributes.html", context_instance=ctx, mimetype="text/html"
) | 76574030051e108a4d9e0590a153728e0531fb21 | 40,022 |
def get_pks(constraints):
"""Get primary key(s) given constraint list"""
pks = {}
if constraints:
for name, constraint in constraints.items():
if constraint['type'] == PRIMARY and len(constraint['columns']) == 1:
column = constraint['columns'][0]
pks[colu... | 0033779e880bee0fc7736adfbb0effb5934d038f | 40,023 |
def _invoke_function(function_name, json_args, json_kwargs):
"""Invokes callback with given function_name.
This function is meant to be used by frontend when proxying
data from secure iframe into kernel. For example:
_invoke_function(fn_name, "'''" + JSON.stringify(data) + "'''")
Note the trip... | df3423ba5ce31ffb70b7b34a5684de69b0327fc2 | 40,024 |
def single_particle_first2p_zbt_metafit(fitfn, exp_list, **kwargs):
"""Fit to zero body terms for all available normal-ordering schemes,
taking only the first 2 points from each
"""
return single_particle_metafit_int(
fitfn, exp_list,
dpath_sources=DPATH_FILES_INT, dpath_plots=DPATH_PLOT... | 1381cccb1482f6cb240c6d965b5930b37377c8f9 | 40,025 |
def interact_GxG(pheno,snps1,snps2=None,K=None,covs=None):
"""
Epistasis test between two sets of SNPs
Args:
pheno: [N x 1] SP.array of 1 phenotype for N individuals
snps1: [N x S1] SP.array of S1 SNPs for N individuals
snps2: [N x S2] SP.array of S2 SNPs for N individuals
... | d04ee8132fe002e4aaf63bf71273244c19e379c0 | 40,026 |
def _get_clone_readiness(media, dtype):
"""
Checks the given media for clones and determines their readiness for archiving.
"""
if dtype == "image":
return _get_single_clone_readiness(media, "image")
if dtype == "video":
return _get_single_clone_readiness(media, "archival")
if dt... | 0103942413fea87b7ac630f80a0374b7a64afdb9 | 40,027 |
def bot_is_public():
"""Don't use this elsewhere."""
async def bot_public(ctx: SalamanderContext) -> bool:
assert isinstance(ctx.cog, Meta), "safe enough" # nosec
cog: Meta = ctx.cog
info = await cog.cached_info.get_app_info()
return info.bot_public or await ctx.bot.is_owner(ct... | 85f412d7ba91f7748bc9561cfb7eac3dade91240 | 40,028 |
def objmap_streamfunc_uvh(xd, yd, ud, vd, hd, xm, ym, l, SNR, fcor, g=9.81, return_err=False):
"""Map velocity and height observations to non-divergent geostrophic stream function.
The Coriolis parameter fcor and gravity (or reduced gravity) g should be specified."""
xd = np.asarray(xd).ravel()
yd = np.... | 0d2b9853b063b324262a1a1ecb9c6cd3a61a8769 | 40,029 |
import html
def visualize_game_round_count():
"""
Prints round count of a game.
:return: html code
"""
return html.Span('Rounds: {0}'.format(len(pre.round_names)), style={'padding': '5px', 'fontSize': '16px'}) | cac271ea54abb0c91eadb426f1965bbfe864b1eb | 40,030 |
def get_window_icon(hwnd):
"""Return QPixmap."""
#hicon = win32gui.GetClassLong(hwnd, win32con.GCL_HICON)
hicon = get_hicon(hwnd)
if not valid_handle(hicon):
return None
try:
return make_qicon(hicon)
except:
return None
#info = win32gui.GetIconInfo(hicon)
#try:
... | 5dcc6af381f06d3c3d422c2c5b67721fbd7b5ca4 | 40,031 |
def ec_entity(response):
"""
Return URL or File entity in Demisto format for use in entry
context depending on data in 'response' (the report)
Parameters
----------
response : dict
Object returned by ANYRUN API call in 'get_report' function.
Returns
-------
dict
Fil... | 81ec1a9d3a932de63b3edd0ca93c88988ea380fd | 40,032 |
def generate_map(df: pd.DataFrame):
""""
Generates the map for the dashboard
Parameters
----------
df : pandas dataframe
The dataframe that contains the data to plot.
Returns
-------
chart : html of altair Chart
The generated map converted to html
"""
world_map ... | cbb4af10249b538ed4bbc276b854221b8984dd28 | 40,033 |
def mapped_route_add(request):
"""
Страница конструктора, которая позволит задавать последовательность остановок,
Далее, открыть карту и построить промежуточные маршруты,
Подтвердить и исходранить маршрут в БД.
:param request:
:return: Template of constructor
"""
template_name = 'admin_... | 447f236c2560953e8ddcb3594e9a3e9aa91d0b9b | 40,034 |
def percentage(sub, all):
"""Calculate percent relation between "sub" and "all".
Args:
sub (int): Some value.
all (int): Maximum value.
Returns:
int: (sum * 100) / all
"""
return int((sub * 100) / all) | 21b398c81f76de0ec81be9d26b2f79d8b0d08edc | 40,035 |
def symbolicTz(z = 0):
"""
Translation on «z» axis. Returns Dual Quaternion in matrix form
"""
return Matrix([[1],
[0],
[0],
[0],
[0],
[0],
[0],
[0.5 * z]]) | 19a9c3c1476593f776117a4787cd1a7bba7191b8 | 40,036 |
def get_branch_all(git_dir):
""" Return all branch names).
"""
try:
output = git('-C', git_dir, 'branch', '--all')
except ErrorReturnCode as e:
return failed_util_call_results(e)
else:
return succeeded_util_call_results(output) | 3a5bfc05832a5f9eb474ff9aae0f2ef79baecdf0 | 40,037 |
from typing import List
def _databases(is_refresh: bool, current_path: str, session: ObjectExplorerSession, match_params: dict) -> List[NodeInfo]:
"""Function to generate a list of databases"""
_default_node_generator(is_refresh, current_path, session, match_params)
is_system = 'systemdatabase' in current... | 614943d8fd13324476495d207018107761c7a26e | 40,038 |
def get_run_runtime(dataset_id, vm_id, run_id):
""" loads a runtime file (runtime.txt) and parses the string to return time, runtime_info"""
run_dir = (RUNS_DIR_PATH / dataset_id / vm_id / run_id)
if not (run_dir / "runtime.txt").exists():
return None
runtime = open(run_dir / "runtime.txt", 'r'... | f393a61a314099f906801f9520af666576fb65cf | 40,039 |
def metrics(bb1, bb2):
"""Computes metrics between two boxes"""
i1, j1, w1, h1 = to_tlwh(bb1)
i2, j2, w2, h2 = to_tlwh(bb2)
top = max(i1, i2)
bottom = min(i1 + h1, i2 + h2)
left = max(j1, j2)
right = min(j1 + w1, j2 + w2)
overlap_height = bottom - top
overlap_width = right - left
... | 28199a66e8c84387a846ced8956d125f851e29b1 | 40,040 |
def web_tokenizer(sentence):
"""
The web tokenizer works like the :func:`word_tokenizer`, but does not split URIs or
e-mail addresses. It also un-escapes all escape sequences (except in URIs or email addresses).
"""
return [token for i, span in enumerate(web_tokenizer.split(sentence))
fo... | bfaee7d3c7f2dddc21699371d69932922523bee3 | 40,041 |
import re
def _check_directory_files_permission(block_id, block_dict, extra_args=None):
"""
Check all files permission inside a directory
"""
path = runner_utils.get_param_for_module(block_id, block_dict, 'path')
permission = runner_utils.get_param_for_module(block_id, block_dict, 'permission')
... | 0483ff9c9fe3ce00d099333e7e725c62bb696be7 | 40,042 |
from datetime import datetime
def async_parse_date_datetime(
value: str, entity_id: str, device_class: SensorDeviceClass | str | None
) -> datetime | date | None:
"""Parse datetime string to a data or datetime."""
if device_class == SensorDeviceClass.TIMESTAMP:
if (parsed_timestamp := dt_util.pars... | d305ce88627d8d7bb98307399db69be64fc0b6df | 40,043 |
def region_of_interest(img, vertices):
"""
Applies an image mask.
Only keeps the region of the image defined by the polygon
formed from `vertices`. The rest of the image is set to black.
"""
#defining a blank mask to start with
mask = np.zeros_like(img)
#defining a 3 channel... | 741d7a2af2e6c91d99d69020161981e4fedbbc51 | 40,044 |
async def app_factory() -> web.Application:
"""Created to launch app from gunicorn (see docker/boot.sh)"""
app_settings = ApplicationSettings()
assert app_settings.SC_BUILD_TARGET # nosec
log.info("Application settings: %s", app_settings.json(indent=2, sort_keys=True))
app, _ = _setup_app_from_se... | 10916d0ec81941621dc475603797f6082b2a5228 | 40,045 |
def makeone(pb, params, where, compdir=None):
"""
Crée une donnée pour l'apprentissage du problème "Le jardinier et les
taupes" :
1. Génère une instance du problème dans la version du module `pb`,
pour les paramètres `params`.
2. Résout cette instance.
3. Sauvegarde la gri... | 40c5f7f65bc4146d38d189efe61dbd4410fdc202 | 40,046 |
from dateutil import tz
def _collapse_to_cwl_record(samples, want_attrs):
"""Convert nested samples from batches into a CWL record, based on input keys.
"""
input_keys = sorted(list(set().union(*[d["cwl_keys"] for d in samples])), key=lambda x: (-len(x), tuple(x)))
out = {}
for key in input_keys:
... | ed5efb1a6c8c072cc7ed063676b8948789dff219 | 40,047 |
def open_old_stds(name, type, dbif=None):
"""This function opens an existing space time dataset and return the
created and initialized object of the specified type.
This function will call exit() or raise a
grass.pygrass.messages.FatalError in case the type is wrong,
or the space time d... | c0def972f41cc8bd2a15d5ce14b81cc388e02725 | 40,048 |
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