content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def drop_semantic_duplicates(
student_comments: pd.Series
) -> pd.Series:
"""Remove the duplicate comments based on the comment's semantics, e.g.
"I was waiting for 1 hour." and "I waited for 1 hour." are orthographically
different, but the semantically the same, so one will be removed
... | 7b5ba13e96e33b041d1ef22733a4db3c8f5c6954 | 39,900 |
import os
from datetime import datetime
def create_summary_writer(log_dir):
"""Create a tensorboard summary writer.
Args:
log_dir: log directory.
Returns:
(SummaryWriter): a summary writer.
Example
>>> writer = create_summary_writer(os.path.join(self.basedir, 'logs'))
... | 063dc5969002ffff7ddd5e4a23cc99d54ee5368c | 39,901 |
def _clip_bounds(bbox, filename):
"""Clip input fiona-compatible vector file to input bounding box.
:param bbox:
Tuple of (xmin,ymin,xmax,ymax) desired clipping bounds.
:param filename:
Input name of file containing vector data in a format compatible
with fiona.
:returns:
Shapel... | 81e79e092dcc59741f446ff44e9ba46b5967425d | 39,902 |
import os
import json
import hashlib
def CheckChange(input_api, message_constructor):
"""Checks for files with a modified contents.
Some checking of validator happens on builbots, but comprehensive enumeration
tests must be run locally.
There are two dangers:
1. Source code for autogenerated files can b... | c92ae33b5cae1b3162f7b5ef91a7d7f13f2848c6 | 39,903 |
from registration_backend.backend import JotleafBackend
def register(request):
"""
AJAX user registration
"""
backend = JotleafBackend()
if request.method == 'GET':
return _new_api_403()
data = request.POST.copy()
if not backend.registration_allowed(request):
return {
... | b6e5e45eef5011ce42c4a573e9837cc25911ad71 | 39,904 |
from typing import Dict
def create_mapper(df: pd.DataFrame, field_name: str) -> Dict:
"""指定した DataFrame の field_name を利用したカラー用マッパーを返す
Args:
df (pd.DataFrame): 対象とするデータフレーム
field_name (str): カラーを調整するデータ列名
Returns:
Dict: 調整したマッパー
"""
mapper = linear_cmap(
field_name... | a1dec5a33c0a90d99dc63f8e4c28b5a4af30f06c | 39,905 |
import torch
def _ssim_torch(raw_tensor: torch.Tensor,
dst_tensor: torch.Tensor,
window_size: int,
gaussian_kernel_window: np.ndarray) -> float:
"""PyTorch implements the SSIM (Structural Similarity) function, which only calculates single-channel data
Args:
... | 3fbd1e18c63a62b880f149f3548f35bf68d54a44 | 39,906 |
def create_joint_on_center():
"""
Creates a new joint on center of the selected objects or components
"""
selection = maya.cmds.ls(sl=True)
if not selection:
return maya.cmds.joint(n='joint#')
# if maya.cmds.objectType(selection[0]) != 'mesh':
# raise NotImplementedError('Cente... | 7fc402c0e97966ee8f52a526be89080d5a1e15a9 | 39,907 |
import time
import subprocess
import os
def check_drive(possible_drives, drive_mountpoint, drive_name, log_filename):
"""
Full check: drive existence/name, log file existence/name, ability to write,
so on
returns:
result,drive
"""
mount_tries_cnt = mount_tries
while True:
... | 49d2315ed4f9873f73fe88e365e2931eb982ccf1 | 39,908 |
import os
def _get_credentials():
"""Finds the credentials for a specific test and options.
Returns:
Credentials: set of credentials
Raises:
Exception: when the credential could not be set and they are needed
for that set of options
"""
if os.getenv('USE_ALTERNATE_ENV... | dd111ce62086805bfa1c500eb52aae63cae98941 | 39,909 |
def filter_instances(project):
"""Filter EC2 instances based on Project tag"""
if project:
filters = [{'Name': 'tag:Project', 'Values': [project]}]
ec2_instances = ec2.instances.filter(Filters=filters)
else:
ec2_instances = ec2.instances.all()
return ec2_instances | 9f9eb69a3e80b446074b16db1a018bf067cdda15 | 39,910 |
import json
def plugin_poll(handle):
""" Poll readings from the modbus device and returns it in a JSON document as a Python dict.
Available for poll mode only.
Args:
handle: handle returned by the plugin initialisation call
Returns:
returns a reading in a JSON document, as a Python d... | e60fd3e01fb2c23a06e1f261795c9afa2054168c | 39,911 |
from typing import List
from typing import Any
def validate_unity(unity_permutation: List[Any]) -> bool:
"""Checks that the input permutation is the unity permutation, i.e., an
object s of type List[List[int], float, bool] such that
* s[0][0] > -1,
* s[0][i] < s[0][j] for i < j,
* s[1] = 1.0, and... | 6ee49a342c058c2122f58dae715881e7a4228091 | 39,912 |
def gf_TC(f, K):
"""Returns trailing coefficient of `f`. """
if not f:
return K.zero
else:
return f[-1] | d09c0bb3a29cce379a598055e7ea781ff6f6f673 | 39,913 |
import sys
def readinput(filename, target_col=None, exclude_features=None,
make_shadows=False):
"""
Read a dataset and return an input and a target features subset
Parameters
----------
filename : str
The file path of the dataset to be read
target_col : str... | 40529da559af0fbaed7ced4667cb8b90a6625842 | 39,914 |
def shared_podcast_episode_query(user):
"""
Shared query set for PodcastEpisodesViewSet and RecentPodcastEpisodesViewSet
"""
return (
PodcastEpisode.objects.filter(published=True, podcast__published=True)
.prefetch_related(
Prefetch("offered_by", queryset=LearningResourceOff... | dd42159e36f94186bc9ed033c6e01356ab0967a7 | 39,915 |
import os
def generate_tclloader_radfilt(radin, rads):
"""
Filter non-existent radio variants.
:param radin: Directory containing files to copy.
:type radin: str
:param rads: List of radio variants.
:type rads: list(str)
"""
rfiles, infiles = generate_tclloader_radset(radin, rads)
... | 6d38adfa710351f216df767d7ddc68c053b66eb7 | 39,916 |
import base64
def convert_image(
png_image_base64: str, jpeg_image_quality: int = IMAGE_QUALITY_JPEG
) -> str:
"""
Convert an image from PNG to JPEG, encoded in Base64.
(Semi-)transparent pixels are replaced with (semi-)white pixels in
the output JPEG image.
Args:
png_image_base64: P... | 8133da5aee63b35b016bde5c09e44aeb05be1a09 | 39,917 |
def merge(*args):
""" Merge multiple frame states together """
if not args:
return create()
s = {arg['identifier'] for arg in args}
if len(s) != 1:
raise ValueError("Expected identifiers, got %s" % str(s))
children = defaultdict(list)
for arg in args:
for child in arg['ch... | cf1f4bc54583769f621cc8fdb98aaffe64d75cb7 | 39,918 |
def int64_counter(urn, metric, ptransform=None, pcollection=None, labels=None):
# type: (...) -> metrics_pb2.MonitoringInfo
"""Return the counter monitoring info for the specifed URN, metric and labels.
Args:
urn: The URN of the monitoring info/metric.
metric: The payload field to use in the monitoring ... | 0f9d05861e923239d25af837aa8d33e8be31fec4 | 39,919 |
import six
def _to_binary_string_py3(text):
"""
Converts a string to a binary string if it is not already one. Returns a str
in Python 2 and a bytes in Python3.
Do not use directly, use to_binary_string instead.
"""
if isinstance(text, six.binary_type):
return text
elif isinstance... | 393962a4a8e1c0def3a402122be59363572ed6cc | 39,920 |
def get_log_info(prefix='', rconn=None):
"""Return info log as a list of log strings, newest first. On failure, returns empty list"""
if rconn is None:
return []
# get data from redis
try:
logset = rconn.lrange(prefix+"log_info", 0, -1)
except:
return []
if logset:
... | d333fbeaff754e352a0b84c10f4d28e148badfa0 | 39,921 |
def get_hidden_status(data):
"""
使用Gaussian HMM对数据进行建模，并得到预测值
"""
cols = ["r_5", "r_20", "a_5", "a_20"]
model = GaussianHMM(n_components=3, covariance_type="full",
n_iter=1000, random_state=2010)
model.fit(data[cols])
hidden_status = model.predict(data[cols])
retu... | a30ea507c261d44bfdf89ed6911db8c2a82666a0 | 39,922 |
def N_interrupts():
"""(read-only) Number of interruptions this bus per year"""
return lib.Bus_Get_N_interrupts() | 9974c75574222e11f284c52f7f0e600477258b4c | 39,923 |
def strip_parameter(context, param):
"""
A template tag to remove the specified parameter from the url
string. If there are no parameter left, it returns the bare
url (without any parameters or ?-mark)
"""
query = context["request"].GET.copy()
query.pop(param)
if len(query):
r... | 8bfa38f79743fa66ea3e8e966a8577753cbdfe32 | 39,924 |
def get_center_radius(ra, dec, logger=logger):
"""Get a list of RA and DEC coordinates and returns the center and the
search radius."""
center_ra = (np.max(ra) + np.min(ra))/2
center_dec = (np.max(dec) + np.min(dec))/2
radius = np.max([np.max(ra) - np.min(ra),
np.max(dec) - np.m... | 990216ef19f51791a71a9f32cdd4beb2e0a5f353 | 39,925 |
def calculate_health(package_name, package_version=None, verbose=False, no_output=False):
"""
Calculates the health of a package, based on several factors
:param package_name: name of package on pypi.python.org
:param package_version: version number of package to check, optional - defaults to latest ve... | 46029e7563ca0ebb4ac1349b85734786998a1c25 | 39,926 |
def _df_to_array(instances):
"""
Transform inputs into arrays
Parameters
----------
instances : DataFrame, Series or array
Input data
Returns
-------
instances : array
Transformed features
"""
if isinstance(instances, pd.DataFrame):
return instances.valu... | f0112ef718d4075eda4f041a46d5feaf3e2103d3 | 39,927 |
def S2(Scat,
Source,
phi,
theta):
"""Function compute :math:`S_2` component of scattered FarField defined
as Eq:III.111 of B&B.
:math:`S_2 = \sum_{n=1}^\\infty \sum_{m=-n}^{n} \\frac{2n+1}{n(n+1)}
\\Big[ a_n g_{n,TM}^m \\tau_n^{|m|} \\big(\cos (\\theta) \\big) +
m i b_n g_{n,TE... | b8a83e40e606f11aed53dfb045e4c69cd58f8354 | 39,928 |
def text_to_html(string):
"""Take text as input and return html that renders nicely.
For example replace newlines with '<br/>'
This was built for use in reminder emails, please check for
effects there if you are updating it."""
string = "<html><body>" + string + "</body></html>"
string = string... | 86cbbc0d35bc994450bb16e989264f96c992aaa3 | 39,929 |
def spacecraft_vel(deltaw, deltan, deltar, dij, vmap):
"""
function to calculate pixel-wise spacecraft velocities for Sunpy map
Based on Haywood et al. (2016) and described in Ervin et al. (2021) - In Prep.
Parameters
----------
deltaw: float, array
relative westward position of pixel
... | 78c2acffc4f14c3f707cc50e1594ad7012bc1b08 | 39,930 |
import types
def task__package_mkdir_iso_root() -> types.TaskDict:
"""Create the packages root directory on the ISO."""
return targets.Mkdir(
directory=constants.REPO_ROOT, task_dep=['_iso_mkdir_root']
).task | 5625b04905dff0905ba34a4021d7a9c349bbce0a | 39,931 |
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 find_spots(input_path, output_path, intensity_percentile=99.995, filter_width=2, small_peak_min=4, small_peak_max=100,
big_peak_min=25, big_peak_max=10000, small_peak_dist=2, big_peak_dist=0.75, block_dim_fraction=0.25,
spot_pad_pixels=2, keep_existing=False):
"""
Find and keep... | 82d020e8b89184bce28b52c916e0068d9017ca73 | 39,936 |
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 |
import os
def folder_exists(folder_path):
"""Checks if a folder exists"""
return os.path.exists(folder_path) | 7554e4b72c87ffb921104e849454c92e405fc4a1 | 39,944 |
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 |
async def async_setup(hass, config):
"""Set up the updater component."""
if "dev" in current_version:
# This component only makes sense in release versions
_LOGGER.info("Running on 'dev', only analytics will be submitted")
conf = config.get(DOMAIN, {})
if conf.get(CONF_REPORTING):
... | d71b0ad37eb7eba5ec6b570ff2e008c00c078624 | 39,946 |
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 glob
from sys import path
import pickle
def calibrate_camera(nx, ny, basepath):
"""
:param nx: number of grids in x axis
:param ny: number of grids in y axis
:param basepath: path contains the calibration images
:return: write calibration file into basepath as calibration_pickle.p
"""
... | 39ebf9a907fd2b1affe686ef5f5c057b7c4c54bc | 39,948 |
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 |
import uuid
import os
def getuniqname(base, ext, pre=""):
"""Returns a unique random file name at the given base directory. Does not
create a file."""
while True:
uniq = op.join(base, pre + "tmp" + str(uuid.uuid4())[:6] + ext)
if not os.path.exists(uniq):
break
return op.no... | 534c2e2a7338686e9af745a7cb585b8edefc6d14 | 39,951 |
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 |
import os
import sys
def saveFileInTag(soup, pagefolder, url, session, tag2find='img', inner='src'):
"""saves on specified `pagefolder` all tag2find objects"""
# count for files that doesn't has a filename
count = 0
# store the url of all downloaded files, so that we won't download duplicate files
... | 0a925fe97748218bbe8a4672aaac182815442d44 | 39,975 |
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 |
import os
def upload_metadata_api():
"""
Upload the metadata.csv file to a specific folder
data = {'folder_name': 'desired_name'}
files = {'metadata': open('metadata.csv'), 'rb')}
"""
folder_name = request.form.get('folder_name', None)
if not folder_name:
app.logger.warning('No fo... | e85322869cb93452ed778c07745c92605e1de59a | 39,977 |
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 tempfile
import os
import logging
import shutil
import subprocess
def test_rsync_source_dir(gearman_worker):
"""
Verify the source directory exists for a rsync server transfer
"""
return_val = []
# Create temp directory
tmpdir = tempfile.mkdtemp()
rsync_password_filepath = os.path... | 35299a31130516b5cf94ad18e25bca40fe89dc03 | 39,979 |
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 sys
import collections
def getBarcodesFromSnapSimple(fname):
"""Read barcodes from a snap file
Attributes:
fname - a snap-format file
Return:
a dictionary contains barcode without qc
"""
try:
f = h5py.File(fname, 'r');
except IOError:
print("error: ... | 85f459951325a418f17a59a08fb568f6f17595c5 | 39,982 |
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 |
def _poly_fit_delta(data_series_in):
"""Given an input Pandas Series (data_series_in) with a PeriodIndex and at
least 3 non-nan values, models the expected last value of the series and
returns the difference between the modeled and actual value.
A linear regression is computed for the input da... | 27ed61322f9eabbb18d4a38c9c91cc0306a9d5cd | 39,984 |
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 |
import numpy as np
from .model_store import get_model_file
import os
def get_jasper(version,
use_dw=False,
use_dr=False,
bn_eps=1e-3,
vocabulary=None,
model_name=None,
pretrained=False,
root=os.path.join("~", ".te... | 5f4d4248b4d180e7ad38f14a89f87f46884788ca | 39,991 |
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 |
from bs4 import BeautifulSoup
def get_saml_assertion(response):
"""Parses a requests.Response object that contains a SAML assertion.
Returns an base64 encoded SAML Assertion if one is found"""
# Decode the requests.Response object and extract the SAML assertion
soup = BeautifulSoup(response.text, "html... | 33dff6ee1725ddc86be2452e3e6d8306723474bf | 39,997 |
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 |
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