content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
import sys
def query_yes_no(question, default="no"):
"""
Ask a yes/no question via raw_input() and return their answer.
:param str question: a string that is presented to the user.
:param str default: the presumed answer if the user just hits <Enter>.
:return bool: True for "yes" or False for "no... | 36f95aa7a52fbcb17dc351d86fda01a06dd8504e | 3,642,800 |
def skeda_from_skedadict(line_dict, filing_number, line_sequence, is_amended):
"""
We can either pass the header row in or not; if not, look it up.
"""
line_dict['transaction_id'] = line_dict['transaction_id'][:20]
line_dict['line_sequence'] = line_sequence
line_dict['superseded_by_amendment'] =... | 2e07efa96f93ef777185e48bb07787774d4e5180 | 3,642,801 |
from datetime import datetime
def oracle_to_date(string2convert, fmt, nlsparam=None):
"""
https://docs.oracle.com/cd/B19306_01/server.102/b14200/functions183.htm
TO_DATE(char [, fmt [, 'nlsparam' ] ])
TO_DATE converts char of CHAR, VARCHAR2, NCHAR, or NVARCHAR2 datatype to a value of DATE datatyp... | eeaee6289d43bd446fbf27ce25ed87555a116ae4 | 3,642,802 |
import re
def replace_whitespace(s, rep=' '):
"""Replace any length white spaces in the given string with a replacement.
Parameters
----------
s : str
The string in which any length whitespaces should be replaced.
rep : Optional[str]
The string with which all whitespace should be ... | b583a627dda830275822f6276af33b58afb55f1e | 3,642,803 |
from sys import prefix
def add_s3_prefix(s3_bucket):
"""
Ensure a bucket has the s3:// prefix
:param s3_bucket: string - The bucket name
"""
s3_prefix = 's3://'
return prefix(s3_bucket, s3_prefix) | 6c6c7738b2a7d8972ae01f06c9d5cfb5a4d53502 | 3,642,804 |
import aiohttp
async def handle_xml_response(request):
""" Faking response """
response = load_data("equipment_data.xml")
return aiohttp.web.Response(
content_type="text/xml",
body=response
) | d56526414469424483fc8461c29f3b9c9963e698 | 3,642,805 |
import this
def plugin_prefs(parent, cmdr, is_beta):
"""
Return a TK Frame for adding to the EDMC settings dialog.
"""
global listbox
frame = nb.Frame(parent)
nb.Label(frame, text="Faction Name:").grid(row=0,column=0)
nb.Label(frame, text="System Name").grid(row=0,column=1)
factio... | 25df93343750cdac60604e6f5f91f84b3d105a12 | 3,642,806 |
from typing import Concatenate
def Conv1D_positive_r(x, kernel_size):
"""index of r is hard-coded to 2!"""
out1 = Conv1D(1, kernel_size=kernel_size, padding='valid', activation='linear')(x)
out2 = Conv1D(1, kernel_size=kernel_size, padding='valid', activation='linear')(x)
out3 = Conv1D(1, kernel_size=... | b66db8e65007d6044ad711b4ac9e7e9f967ecd91 | 3,642,807 |
def remove_innermost_template_usage(raw_code: str) -> str:
"""
If the code does not include templates, should return the exact same code
FIXME: check if any task is templated
"""
_temp_code = raw_code
template_types = get_all_template_types(raw_code)
_temp_code = replace_template_type(_temp_code, templat... | 92aa5164277064045e3436588f87067ecf626f07 | 3,642,808 |
def decrypt(text, key):
"""Decrypt the supplied text and return the result.
Args:
text (str): The text to decrypt.
key (str): The key with which to perform the decryption.
"""
return transform(text, key, True) | bb7fb87622a38c3eba9156d9a8678357e40adcb3 | 3,642,809 |
def psi_gauss_1d(x, a: float = 1.0, x_0: float = 0.0, k_0: float = 0.0):
"""
Gaussian wave packet of width a and momentum k_0, centered at x_0
:param x: mathematical variable
:param a: Amplitude of pulse
:param x_0: Mean spatial x of pulse
:param k_0: Group velocity of pulse
"""
re... | 278ffa7f15fd8c52346f5b232a89d40ee48c8843 | 3,642,810 |
def get(address, limit=LIMIT):
"""
Recursively dereferences an address.
Returns:
A list containing ``address``, followed by up to ``limit`` valid pointers.
"""
result = []
for i in range(limit):
# Don't follow cycles, except to stop at the second occurrence.
if result.co... | 1a3b7122ede440ddee773d7e260430517181909d | 3,642,811 |
import unittest
def elemwise_checker(op, expected_f, gap=None, test_dtypes=None,
grad_test=True, name=None, gap_grad=None):
"""Return the appropriate test class for the elemwise on sparse.
:param op: Op to test.
:expected_f: Function use to compare. This function must act
... | e2ed86b905c086bfd1ceda228b6d0e19ed99a444 | 3,642,812 |
import os
import numpy
def plot_segments(track_generator, get_figure=False, plot_3D=False):
"""Plot the characteristic track segments from an OpenMOC simulation.
This method requires that tracks have been generated by a TrackGenerator.
Each segment is colored by the ID of the unique FSR it is within.
... | d6e29c550b2c13d0287359974892867fcd3404ab | 3,642,813 |
def find_availability_by_year(park, campground, year, months=range(1, 13)):
"""
Parameters
----------
park : str
campground : str
year : str
months : list
list of months as str or int. Default is `range(1, 13)`
Returns
-------
list
list of weekend availability... | 28e81b2382f2733d1cc024a221c11feaa5ae5653 | 3,642,814 |
def seconds(value=None, utc=True, **kwargs):
"""
Converts value to seconds. If value is timedelta or struc_time, it will be just converted to seconds.
If value is datetime instance it will be converted to milliseconds since epoch (UTC). If value is number,
it's assumed that it's in milliseconds, so it w... | aced764fc038b316ca0b772254b6c6a44f333d9e | 3,642,815 |
def fix_mocov2_state_dict(state_dict):
"""
Ref: https://bit.ly/3cDfGVA
"""
new_state_dict = {}
for k, v in state_dict.items():
if k.startswith("model.encoder_q."):
k = k.replace("model.encoder_q.", "")
new_state_dict[k] = v
return new_state_dict | 13471d6863eb14eb3248f6d6e1d6b5882c341ed0 | 3,642,816 |
def get_perspective(image, contours, ratio):
"""
This function takes image and contours and returns perspective of this contours.
:param image: image, numpy array
:param contours: contours, numpy array
:param ratio: rescaling parameter to the original image
:return: warped image
"""
poin... | 237db75baa8b72314e095f435075e75b8aa126b0 | 3,642,817 |
import bz2
import os
def processFilesOpen(filename, filetype='file', subname='', zptr=None,
**kwargs):
"""
Open a file for processing. If it is a compressed file, open for
decompression.
:param filetype: 'zip' if this is a zip archive.
:param filename: name of the file (if a... | 7a5cbab72ccc6b31530cb517fe672d2a49af4564 | 3,642,818 |
from pathlib import Path
def load_model_selector(folder_path):
"""Load information about stored model selection
Parameters
----------
folder_path : str
path where .model_selector_result files are stored
Returns
-------
ModelSelector
Information about model selection for e... | 1e977ca422c5004e510f4989f7778bd0ca95f4c0 | 3,642,819 |
def generate_expired_date():
"""Generate a datetime object NB_DAYS_BEFORE_DELETING_LIVE_RECORDINGS days in the past."""
return timezone.now() - timedelta(
days=settings.NB_DAYS_BEFORE_DELETING_LIVE_RECORDINGS
) | 8d6fb9aae4cd5065416ccea4ba17d11080d8ccbc | 3,642,820 |
from typing import Dict
def make_dummy_authentication_request_args() -> Dict[str, bytes]:
"""Creates a request to emulate a login request.
Returns:
Dict[str, bytes]: Authenticator dictionary
"""
def _make_dummy_authentication_request_args():
args = {
"username": ["foobar"... | 2e0919bac46a5140a72c02ee09c1ce3b1cb9269a | 3,642,821 |
def add_experiment_images_to_image_info_csv(image_info_df, experiment_xml_file):
"""
Goes through the xml file of the experiment and adds the info of its images to the image info dataframe.
If the gene name is missing in the experiment, then this experiment is considered invalid.
:param image_info_df: ... | 99b545cba5aeb53f9ba2af2a1a5bf3acb72c6fa7 | 3,642,822 |
from typing import Iterable
from re import T
from typing import Optional
from typing import Callable
from re import U
from typing import Iterator
def dedup(iterable: Iterable[T], key: Optional[Callable[[T], U]] = None) -> Iterator[T]:
"""
List unique elements.
>>> tuple(dedup([5, 4, 3, 5, 3, 3]))
(3,... | 8334d08f926584b1c976c24bde180930124b78ba | 3,642,823 |
def get_product(barcode):
"""
Return information of a given product.
"""
return utils.fetch('api/v0/product/%s' % barcode) | 2cc298cf640b4aa742c51b5d076f0021660fe0d5 | 3,642,824 |
def knn_matcher(arr2, arr1, neighbours=2, img_id=0, ratio_threshold=0.75):
"""Computes the inlier matches for given descriptor ararys arr1 and arr2
Arguments:
arr2 {np.ndarray} -- Image used for finding the matches (train image)
arr1 {[type]} -- Image in which matches are found (test image)
... | 6397938b3624e1f32426b429f809e60e6bb72b49 | 3,642,825 |
from typing import Optional
def get_virtual_network_gateway_bgp_peer_status(peer: Optional[str] = None,
resource_group_name: Optional[str] = None,
virtual_network_gateway_name: Optional[str] = None,
... | ade144cd6ce8c6827c0631a5c795d4ef2fbcaf7f | 3,642,826 |
import re
import logging
import sys
def check_wrs2_tiles(wrs2_tile_list=[], path_list=[], row_list=[]):
"""Setup path/row lists
Populate the separate path and row lists from wrs2_tile_list
Filtering by path and row lists separately seems to be faster than
creating a new path/row field and filteri... | 3876cb4e96a5f82f919c770798fe9393c2655877 | 3,642,827 |
import pathlib
def cat(file_path: str) -> str:
"""pathlib.Path().read_textのshortcut
Args:
file_path (str): filepath
Returns:
str: file内の文字列
Example:
>>> cat('unknown.txt')
"""
file_path = pathlib.Path(file_path)
if file_path.is_file():
return file_path.r... | 17eef15686a97e62380d077d678f2993e02e6d5c | 3,642,828 |
def _get_role_by_name(role_name):
"""
Get application membership role
Args:
role_name (str): role name.
Returns:
int: application membership role id.
"""
base_request = BaseRequest()
settings = Settings()
params = {
'filter': 'name',
'eq': role_n... | 0599f6c9571345318be71b9f453f89d1439c64fa | 3,642,829 |
def parse_filename(filename, is_adversarial=False, **kwargs):
"""Parse the filename of the experment result file into a dictionary of settings.
Args:
filename: a string of filename
is_adversarial: whether the file is from experiments/GIB_node_adversarial_attack.
"""
if is_adversaria... | 1972de5803a8eb0ff50438adbe0adee1597199a9 | 3,642,830 |
def WHo_mt(dist, sigma):
"""
Speed Accuracy model for generating finger movement time.
:param dist: euclidian distance between points.
:param sigma: speed-accuracy trade-off variance.
:return: mt: movement time.
"""
x0 = 0.092
y0 = 0.0018
alpha = 0.6
x_min = 0.006
x_max = 0.... | 36d8b7e913df658b52f1f03617d0b9817091d0ef | 3,642,831 |
def find_next_sibling_position(element, tag_type):
"""
Gets current elements next sibling's (chosen by provided tag_type) actual character position in html document
:param element: Whose sibling to look for, type: An object of class bs4.Tag
:param tag_type: sibling tag's type (e.g. p, h2, div, span etc... | 9b912fd9b7d30e81d6b4c2fec0e0573017b51a83 | 3,642,832 |
import subprocess
def CheckOutput(cmd, **kwargs):
"""Call subprocess.check_output to get output.
The subprocess.check_output return type is "bytes" in python 3, we have
to convert bytes as string with .decode() in advance.
Args:
cmd: String of command.
**kwargs: dictionary of keyword... | b4eb9ac552124c56f76c0c684c2d515558307aa4 | 3,642,833 |
def one_hot(arr, n_class=0):
"""Change labels to one-hot expression.
Args:
arr [np.array]: numpy array
n_class [int]: number of class
Returns:
oh [np.array]: numpy array with one-hot expression
"""
if arr is None:
return None
if isinstance(arr, list) or isinstan... | ba22f7f1f7d97d5d3989eff69c42bdce2ca34e87 | 3,642,834 |
def boost_nfw_at_R(R, B0, R_scale):
"""NFW boost factor model.
Args:
R (float or array like): Distances on the sky in the same units as R_scale. Mpc/h comoving suggested for consistency with other modules.
B0 (float): NFW profile amplitude.
R_scale (float): NFW profile scale radius.
... | a7e13f5309fa663b41c5eec1c8518f444ba86b5f | 3,642,835 |
def get_swatches(root):
"""Get swatch elements in the SVG"""
swatches = {}
for node in descendants(root):
if "hasAttribute" not in dir(node) or not node.hasAttribute("id"):
continue
classname = extract_class_name(node.getAttribute("id"))
if classname:
swatches... | 2d9cd4ca2ff034d4200b242eaa5592311c250155 | 3,642,836 |
def chunks(l, n):
"""
Split list in chunks - useful for controlling memory usage
"""
if n < 1:
n = 1
return [l[i:i + n] for i in range(0, len(l), n)] | d878aeb50bd42c9f5a2060f4bb2747aecb1a3b58 | 3,642,837 |
def UserLevelAuthEntry(val=None):
"""Provide a 2-tuple of user and level
* user: string
* level: oneof(ACCESS_LEVELS)
currently: GUEST, USER, ADMIN
"""
if len(val) != 2:
raise ValueError('UserLevelAuthEntry entry needs to be a 2-tuple '
'(name, ac... | e26c723a55d215c71d46d2e45e30b3a39d78723d | 3,642,838 |
import tokenize
def parseCookie(headers):
"""Bleargh, the cookie spec sucks.
This surely needs interoperability testing.
There are two specs that are supported:
Version 0) http://wp.netscape.com/newsref/std/cookie_spec.html
Version 1) http://www.faqs.org/rfcs/rfc2965.html
"""
cookies = []... | f12cfc5303f466eebe3f1b2731d22d02caf12b1d | 3,642,839 |
import psutil
import os
def get_system_metrics():
"""
For keys in fields
>>> from serverstats import get_system_metrics
>>> fields = dict()
>>> dl = get_system_metrics()
>>> _fields = {
... 'cpu': ['usage_percent', 'idle_percent', 'iowait',
... 'avg_load_15_min', 'avg_... | b612ada76bd829a76dfb35eb070e9788ef75ce78 | 3,642,840 |
def FilterKeptAttachments(
is_description, kept_attachments, comments, approval_id):
"""Filter kept attachments to be a subset of last description's attachments.
Args:
is_description: bool, if the comment is a change to the issue description.
kept_attachments: list of ints with the attachment ids for a... | 89732832db557835a5dea1ef10229bfdd809d304 | 3,642,841 |
import os
def scan_fixtures(path):
"""Scan for fixture files on the given path.
:param path: The path to scan.
:type path: str
:rtype: list
:returns: A list of three-element tuples; the app name, file name, and relative path.
"""
results = list()
for root, dirs, files in os.walk(pat... | c85e8281a2f9005feb1801083138b55cb5079cf6 | 3,642,842 |
import json
import os
import _thread
def invocations():
"""Do an inference on a single batch of data. In this sample server, we take data as CSV, convert
it to a pandas data frame for internal use and then convert the predictions back to CSV (which really
just means one prediction per line, since there's ... | ab602a874d151869f000d6e0d4b8a5f085be6b7d | 3,642,843 |
import piaplib.book.__main__
import piaplib.book.__main__
def main(argv=None):
"""The main event"""
try:
if 'piaplib.book.__main__' not in sys.modules:
else:
piaplib.book.__main__ = sys.modules["""piaplib.book.__main__"""]
if piaplib.book.__main__.__name__ is None:
raise ImportError("Failed to import pi... | 61ce42c99b933f95596e6cde788890984f270fee | 3,642,844 |
from datetime import datetime
def today() -> date:
"""
**today**
returns today's date
:return present date
"""
return datetime.datetime.now().date() | b5c7b19d9ff02993ab63de2bebd3d7bcdd24da59 | 3,642,845 |
def get_word_size(word,font_size):
"""get's the dimansions of any given word for any giving font size"""
Font=ImageFont.truetype(FONT, font_size)
return Font.getsize(word) | 5742f9ee4377d2f251f75acdfceb1c8c1884fde1 | 3,642,846 |
def get_id(asset, **kwargs):
"""Get an asset by the unique id.
The key for the id must have 'id' in the name in the kwargs.
Example::
get_id(Foo, foo_id=1) # works
get_id(Foo, foo=1) # TypeError
"""
id_key = next(_parse_id(kwargs), None)
if id_key is None:
raise Typ... | d4c1864acca7aecaed91f550359e7d9541f0de2f | 3,642,847 |
def put_study_document(request):
"""PUT method for editing an existing study.
Adds "resource_type" -> "study" then calls generic `put_document`.
See `finish_write_operation` for description of the response.
"""
request.matchdict['resource_type'] = 'study'
return put_document(request) | 244cfecf0f87187334ab599a477e1e3459f549c6 | 3,642,848 |
def create_command(input_file, columns_to_use, column_separator, output_file):
"""
This function creates the linux command to filter the columns and creating the output file
:param input_file: A valid file path to raw data file
:param columns_to_use: Indexes of the columns that needs to be filtered out ... | e14d88bf843190890827d2a157d02faf60917800 | 3,642,849 |
def _new_data_generated(dataset, datagen):
"""
Function to put augmented data in directories
:param dataset: The path for the specified directory
:param datagen: The augmented data
:return: The new data to use for model
"""
new_data = datagen.flow_from_directory(
dataset,
tar... | 659edb0eb32e5609c8a0ff11814c5c0d317b134c | 3,642,850 |
def findOutNode( node, testFunc, fallback=... ):
""" get node and all its parents, inner to outer order """
for out_node in getOutNodes( node ):
if testFunc( out_node ):
return out_node
if fallback is not ...:
return fallback
raise Exception( 'cannot find out node' ) | 73a7f88dee12dd82edecaf173b6fecb48b2ce86b | 3,642,851 |
import logging
def lookup_cpe(vendor, product, cpe_type, cpe_table, remap):
"""Identify the correct vendor and product values for a CPE
This function attempts to determine the correct CPE using vendor and product
values supplied by the caller as well as a remapping dictionary for mapping
these values... | 5a6e2e735daa50d3d2a19022db002ebfc647335c | 3,642,852 |
def main():
"""main function of git learning
"""
return 'Google git' | a7296a18657643188ef58131fe012df6543f808e | 3,642,853 |
import numpy
import signal
def SSIM(img1, img2, cs_map=False):
"""Return the Structural Similarity Map corresponding to input images img1
and img2 (images are assumed to be uint8)
This function attempts to mimic precisely the functionality of ssim.m a
MATLAB provided by the author's of SSIM
... | 6fe795ac4818ec06db7ed3cd66f52a169dccbc24 | 3,642,854 |
def covariance(prices: np.ndarray) -> np.ndarray:
"""Calculate covariance matrix.
Args:
prices: Prices of market data.
Returns:
Covariance matrix.
"""
Q = np.cov(prices.T, ddof=0)
return np.array(Q) | d0870a9ba6fdf58a0d4242f4c1638de7f05b738a | 3,642,855 |
def fiveplates_clean_design_file(field, designID):
"""
string representation of targets_clean file for field within
fiveplates_field_files zip file.
Parameters
----------
field : str
identifier of field, e.g. 'GG_010'
"""
return f'{field}_des{designID}_targets_clean.txt' | c6e5c60ad08aa3e4162700f3d48e58d35a57486e | 3,642,856 |
import itertools
def setup_figure(diff=False):
"""Set diff to True if you want an additional panel showing pair-wise differences in accuracy"""
fig = plt.figure(figsize=(2*3.385, 2*3)) # two column figure for bio-informatics
plt.subplots_adjust(left=0.15, bottom=0.1, right=0.98, top=0.93, wspace=0.05, hspace=0... | 6c28eb8fd9f633029fad707bdfee8806fa6a3b72 | 3,642,857 |
def load_axon_morphometrics(morphometrics_file):
"""
:param morphometrics_file: absolute path of file containing the morphometrics (must be .csv, .xlsx or pickle format)
:return: stats_dataframe: dataframe containing the morphometrics
"""
# If string, convert to Path objects
morphometrics_f... | b89bdac95660fd6c6e84bfcace4125d2840347ca | 3,642,858 |
def get_input_costs(
inputs, cost_class="monetary", unit="billion_2015eur", mapping=COST_NAME_MAPPING,
**kwargs
):
"""
Get costs used as model inputs
"""
costs = {}
for var_name, var_data in inputs.data_vars.items():
if "costs" not in var_data.dims or not var_name.startswith("cost"):... | 02671abda50889bd51fb91a5629b718882434745 | 3,642,859 |
import gettext
def render_template(language, context, data, template):
"""Renders HTML display of metadata XML"""
env = Environment(extensions=['jinja2.ext.i18n'],
loader=FileSystemLoader(context.ppath))
env.install_gettext_callables(gettext, ngettext, newstyle=True)
template_f... | 6c19a53c1038681c2f5f4d014ec4ed2aae9a50af | 3,642,860 |
def ht_26():
"""Making one Hash table instance with 26 key val pairs inserted."""
ht = HashTable()
count = 1
for char in letters:
ht.set(char, count)
count += 1
return ht | 8ab9d1b887da2c9719a1b23d2817b66827b7cc3c | 3,642,861 |
import time
def get_session(uuid):
"""
Api.get_session method
returns: [uuid, users, payload, state, ts]
200 -- session created
400 -- wrong arguments
403 -- wrong authorization
404 -- session not found
500 -- internal error
"""
conn = conn_get()
session = database.get_ses... | 5657a53dc60b8d8743ccaac79041208c11caa07c | 3,642,862 |
from typing import Iterable
import io
def fetch_data(
indicator: WorldBankIndicators, country_names: Iterable[str], fill_missing=None
) -> pd.DataFrame:
"""
Fetch data from the market_data_cache collection (not to be confused with the market_quote_cache collection)
and ensure the specified countries a... | 8f0778aa28acb4fefeaf1d889d1650994357a787 | 3,642,863 |
from . import authinfos
def _(dbmodel, backend):
"""
get_backend_entity for Django DbAuthInfo
"""
return authinfos.DjangoAuthInfo.from_dbmodel(dbmodel, backend) | fa0529b038e4321b2f7e535afb82d16455ef4853 | 3,642,864 |
def wavelen_diversity_doppler_est(echo, prf, samprate, bandwidth,
centerfreq):
"""Estimate Doppler based on wavelength diversity.
It uses slope of phase of range frequency along with single-lag
time-domain correlator approach proposed by [BAMLER1991]_.
Parameters
... | d1fe5cb45b9e850fe4da83700fc061e715c76502 | 3,642,865 |
def _parse_line(line):
"""
Parse node string representation and return a dict with appropriate node values.
"""
res = {}
if 'leaf' in line:
res['is_leaf'] = 1
res['leaf_val'] = _parse_leaf_node_line(line)
else:
res['is_leaf'] = 0
res['feature'], res['threshold']... | 014c6d2e9d61798d55af2725b79ff404f9aa7ff3 | 3,642,866 |
from typing import Optional
def generate_richcompare_wrapper(cl: ClassIR, emitter: Emitter) -> Optional[str]:
"""Generates a wrapper for richcompare dunder methods."""
# Sort for determinism on Python 3.5
matches = sorted([name for name in RICHCOMPARE_OPS if cl.has_method(name)])
if not matches:
... | cbbc66a22ee61ed869331fbecd59eb615588fd48 | 3,642,867 |
def display_credentials():
"""
Function that displays all saved credentials
"""
return Credentials.display_credentials() | 09e474a5b76ae3224571cf9d2d05ea5811e7fbf1 | 3,642,868 |
def render_diff_report():
"""
Render a summary of the diffs found and/or changed.
Returns a string.
Dependencies:
config settings: action, templates, report_order
globals: diff_dict, T_NAME_KEY
modules: nori
"""
if nori.core.cfg['action'] == 'diff':
diff_report = ... | da02e6b9dee4424d217d0f0839938a1aff9250df | 3,642,869 |
def get_step_handler_for_gym_env(gym_env_name: str, cfg: Configuration) -> StepRewardDoneHandler:
"""Return an example step handler for the given gym environemtn name, that uses the
given config file."""
if gym_env_name == 'Acrobot-v1':
handler = AcrobotStepHandler(cfg)
elif gym_env_name == 'Ca... | 51164ee7c3da5184f221d1e658c7e1ddc73585de | 3,642,870 |
import os
def get_post_ids() -> list:
"""
"""
create_directory(WORK_PATH)
list_of_files_and_folders = os.listdir(WORK_PATH)
list_of_folders = []
for p in list_of_files_and_folders:
path = f'{WORK_PATH}/{p}'
if os.path.isdir(path):
list_of_folders.append(p)
lis... | 45abeccb2af1edb382d720981d3e8b14c08133ca | 3,642,871 |
import traceback
def get_module(mod_name):
"""Import module and return."""
try:
return import_module(mod_name)
except ImportError:
logger.error('Failed to import module "%s".' % mod_name)
logger.error(traceback.format_exc())
raise | 7cb81ff17f3d49bee3d53549e415c14ff4c13512 | 3,642,872 |
def sort_ranks(ranks):
"""Sort ranks by MAIN_RANKS order.
Parameters
----------
ranks
Ranks to sort
Returns
-------
Sorted ranks
"""
ret = False
ranks = list(ranks) if not isinstance(ranks, list) else ranks
if len(ranks) > 0:
ret = [rank for rank in VA... | e86b985a83153c46f53d7d31f849d1c5c10a6d66 | 3,642,873 |
def formalize_rules(list_rules):
""" Gives an list of rules where
facts are separeted by coma.
Returns string with rules in
convinient form (such as
'If' and 'Then' words, etc.).
"""
text = ''
for r in list_rules:
t = [i for i in r.split(',') if i]
text +=... | d8fbb024f38ae097efa42f95efe6b5d3b5adbd71 | 3,642,874 |
def filenames_to_labels(filenames, filename_label_dict):
"""Converts filename strings to integer labels.
Args:
filenames (List[str]): The filenames of the images.
filename_label_dict (Dict[str, int]): A dictionary mapping filenames to
integer labels.
Returns:
ndarray: Integer labels
"""
re... | 7dad11665aa3858dac7cd91757367f4ab72629cb | 3,642,875 |
def load_model():
"""
保存した提供されているモデルを読み込む
Returns
----------
model
提供されたmodel
tokernizre
提供されたヤツ(よくわかってない)
"""
with open(MODEL_DIR + 'model.pickle', 'rb') as f:
model = pick.load(f)
with open(MODEL_DIR + 'tokenizer.pickle', 'rb') as f:
tokenizer = pic... | abea695c9e56af585e37694b8a022b8634ccfe79 | 3,642,876 |
from datetime import datetime
def post(post_id):
"""View function for post page"""
# Form object: `Comment`
form = CommentForm()
# form.validate_on_submit() will be true and return the
# data object to form instance from user enter,
# when the HTTP request is POST
if form.validate_on_subm... | 28a5e611e370a33a609cabb4d3ec827284911ccc | 3,642,877 |
def pipe(val, *funcs):
"""Pipe a value through a sequence of functions
I.e. ``pipe(val, f, g, h)`` is equivalent to ``h(g(f(val)))``
>>> double = lambda i: 2 * i
>>> pipe(3, double, str)
'6'
"""
if not funcs:
raise PipeNotGivenAnyFunctions
if any_is_async(funcs):
return... | c2815c7842df2a1d1e07a628b613da0a8ffd35f5 | 3,642,878 |
def do_query(method, query, values):
"""Executes a query on a DFP API method, returning a list of results."""
# Trap exceptions here instead of in caller?
statement = dfp.FilterStatement(query, values)
data = []
while True:
response = method(statement.ToStatement())
if 'results' in response:
d... | 3b53e992e4cb49b1814593147826f3d3b4e2bfa8 | 3,642,879 |
def markdown_format(text):
"""
The outside param 'name' is similar to "tag" (in 'usage')
which it'll determines how you use it, e.g. {{ THING | FILTER }}.
Just a reminder
for tag, {% my_post_count %}
for filter, {{ post.body | truncatewords:30 }}
... | 663781e441b305a26bb0d85fb45302539159aa92 | 3,642,880 |
from typing import List
def _find_tex_env_recursive(original_s: str, s: str, offset: int = 0, depth: int = 0) -> List:
"""
Find all environments.
:param s: Latex string code
:param offset: Offset applied to the search
:return: Tuple of all commands
"""
tags = find_tex_commands(s, offset=o... | a92f25a19be59ab8f89540501bf2a7b9975c3ea9 | 3,642,881 |
from typing import Iterable
from typing import List
def group_by_instance_type(
jobs: Iterable[JobConfiguration],
) -> List[List[JobConfiguration]]:
"""
Group job-configuration into different queues depending on which instance
each job should be run. This returns a list of the different queues.
>... | 8c9baf76de4089972c87f7f71b66abec236e23d3 | 3,642,882 |
import scipy
def integral_func(phi, th1, n):
""" Used in computing the continuous hypersphere cap intersection below. """
return np.sin(phi)**(n-2) * scipy.special.betainc( (n-2)/2 , 1/2, 1-( (np.tan(th1))/(np.tan(phi)) )**2 ) | f086da8f5086d13abfced0c05b41d419d4e7d6b0 | 3,642,883 |
def test_model(image_path, class_names, img_height, img_width):
"""测试你的模型"""
img = keras.preprocessing.image.load_img(image_path, target_size=(img_height, img_width)) # 将图片加载为PIL格式
input_array = keras.preprocessing.image.img_to_array(img) # 将PIL映像实例转换为Numpy数组
input_array = np.array([input_array]) # 来... | 5f661c231dbc459e9e6d24f9ddeecbed15dc0e0d | 3,642,884 |
def order(order_id,complete):
"""
Charge completion return URL. Once the customer is redirected
back to this site from the authorization page, we search for the
charge based on the provided `order_id`.
"""
return render_template(
"complete.html",
order_id=order_id,
comp... | c7d7d385c23ef24748d5b4e847aaf9acd2212cbd | 3,642,885 |
import logging
def load_dimension_subdag(
parent_dag_name,
task_id,
redshift_conn_id,
*args, **kwargs):
"""
A python function with arguments, which creates a dag
:param parent_dag_name: imp ({parent_dag_name}.{task_id})
:param task_id: imp {task_id}
:param redshift_... | d68348b51aef7ad38999b2383f41721a178af451 | 3,642,886 |
import os
def get_ns_lns_ids_config_file():
"""Reads node_id to host name mapping from one of the config files in the map"""
assert exp_config.node_config_folder is not None and os.path.exists(exp_config.node_config_folder)
files = os.listdir(exp_config.node_config_folder)
# read mapping from any fil... | 17e162aaf68ef4df8ba730c3104b57e99ee783be | 3,642,887 |
import os
import subprocess
def find(name, environment=None, guess=None):
"""Finds a particular binary on this system.
Attempts to find the binary given by ``name``, first checking the value of
the environment variable named ``environment`` (if provided), then by
checking the system path, then finall... | d3f8d4375804dc54e0187b6b3f8ab53b2120acd7 | 3,642,888 |
import random
import string
import os
from datetime import datetime
def upload_to(path):
"""
Generates unique ascii filename before saving. Supports strftime()
formatting as django.db.models.FileField.upload_to does.
Example:
class SomeModel(models.Model):
picture = models.ImageF... | 4d3b9ff7f95d20bc4234ce27453ad582e6218a18 | 3,642,889 |
from typing import List
def standardize_measurements_lastref(measurements: List[Measurement], remove_ref: bool = True) \
-> List[Measurement]:
""" Sets the standardization of all measurement to the Reference Measurement before """
last_null_meas = None
clean_measurements = []
for measurement ... | 34c73375fcada6a19e9c7e876b252f44fc6f9415 | 3,642,890 |
import os
import re
def blg2texkey(filename):
"""Extract TeX keys from a .blg file."""
keys = []
if not os.path.exists(filename):
LOGGER.error("File %s not found.", filename)
return keys
with open(filename, "r") as f:
lines = f.readlines()
# regexp to match 'Warning--I didn... | 11eb2bbffbcb6052638a53b25ca60a2ace63f3a6 | 3,642,891 |
from typing import get_args
import torch
def build_train_valid_test_data_iterators(
build_train_valid_test_datasets_provider):
"""XXX"""
args = get_args()
(train_dataloader, valid_dataloader, test_dataloader) = (None, None, None)
print_rank_0('> building train, validation, and test datasets ... | 1bf5c79519df289f88ab5372c6ccb963a77ce5cd | 3,642,892 |
import os
def get_lib_ver(library_path=""):
"""Returns the version of the Minipresto library.
### Parameters
- `library_path`: The Minipresto library directory."""
version_file = os.path.join(library_path, "version")
try:
with open(version_file, "r") as f:
for line in f:
... | e42b029762ca8e6baee12062464134f13ae71522 | 3,642,893 |
def width():
"""Get console width."""
x, y = get()
return x | a6090038a4c97e215e57e0f7966ec41c09682f90 | 3,642,894 |
import yaml
def load_yaml_config(path):
"""returns the config parsed based on the info in the flags.
Grabs the config file, written in yaml, slurps it in.
"""
with open(path) as f:
config = yaml.load(f, Loader=yaml.FullLoader)
return config | 0ee100a6e4d25881f8b8ab4ced723f600e878e28 | 3,642,895 |
def convert_year(years, debug=False):
"""Example usage: db['date'] = cln.convert_year(db['date']) """
for i, yr in years.iteritems():
if debug:
print(yr)
print(type(yr))
if yr is None:
years.set_value(i, np.nan)
continue
if is_int(yr):
... | 605ab3d0554942de9a3ea46f35a304d6cd25a7ed | 3,642,896 |
def home(request):
"""View function for home page of site."""
return laboratorio_list(request) | a06bcbdb2b7edb79ee1d30cd69329742b24f2f49 | 3,642,897 |
def scan_armatures(context):
"""
scans the selected objects or the scene for a source (regular)
armature and a destination (Make Human) armature
"""
src = (
scan_for_armature(context.selected_objects)
or scan_for_armature(context.scene.objects)
)
dst = (
s... | a613c39767280919a684dcf8eaa4e537ffc2ebb3 | 3,642,898 |
def populate_instance(msg, inst):
"""
:param msg: contains the values to use to populate inst.
:param inst: message class instance to populate.
:return: an instance of the provided message class, with its fields populated according to the values in msg
"""
return _to_inst(msg, type(inst).__name_... | 7a148629ad178be632c9388fc536e7fea02c44ed | 3,642,899 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.