content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def lidar_to_camera(points, r_rect, velo2cam):
""" transformation from lidar coordinate to camera coordinate
:param points: non-homo coodinates [..., 3] or homogeneous coordinates [..., 4]
:param r_rect: [4, 4] camera rectification matrix
:param velo2cam: [4, 4] transformation from velo to camera
:... | 6f259ba6c81b7e2956937e62bbc99e07cdc071bf | 3,613,100 |
import jinja2
def _render(value, params):
"""Renders text, interpolating params."""
return str(jinja2.Template(value).render(params)) | b8d9698dfaf1c2500abfa272c8da98a0cf3dd482 | 3,613,101 |
def expand (properties):
""" Given a property set which may consist of composite and implicit
properties and combined subfeature values, returns an expanded,
normalized property set with all implicit features expressed
explicitly, all subfeature values individually expressed, and all
... | 2ea6eb3159414f04bdd8571ba3bdc63ea15400aa | 3,613,102 |
def login_required(f):
"""Redirects requests to /login if the user isn't authenticated"""
@wraps(f)
def decorated_function(*args, **kwargs):
user_id = session.get('user_id', None)
if user_id:
user = User.query.filter_by(id=user_id).one_or_none()
if user is not None:
... | 0e61a1e6e0da98a502e9ccc204d26da903003a64 | 3,613,103 |
def ClusterSetSslCert(mvip,
username,
password,
cert,
key):
"""
Set the SSL certificate used by the cluster
Args:
mvip: the management IP of the cluster
username: the admin user of the cluste... | b4f4794cec600ee887551a9cb489e2944d44110e | 3,613,104 |
def organization_daily_metrics_view(request):
"""
:param request:
:return:
"""
# admin, analytics_admin, partner_organization, political_data_manager, political_data_viewer, verified_volunteer
authority_required = {'verified_volunteer'}
if not voter_has_authority(request, authority_required)... | 512383e4987efd9c7e357c7363fd6f15b36d0794 | 3,613,105 |
def from_gen(
generator, n_iter, width, height, range, make_xy_proportional=False, log=False
):
"""Create a 2D histogram with `width * height` bins from `generator`.
The generator should be compiled using Numba's `njit` or `jit`.
Parameters
----------
generator : generator() -> x, y
A ... | 66018fcc0beb268ff2644ba5da01f104006b274f | 3,613,106 |
import math
def inWhichGrid(coord, grid_info):
"""
Specify which grid it is in for a given coordinate
:param coord: (latitude, longitude)
:param grid_info: grid_info dictionary
:return: row, column, grid ID
"""
lat, lng = coord
row = math.floor((grid_info['maxLat'] - lat) / grid_info['... | 260d31b57413902febf503ac3f7a11232940d245 | 3,613,107 |
import os
import sys
def find_executable(executable, path=None):
"""Find if 'executable' can be run. Looks for it in 'path'
(string that lists directories separated by 'os.pathsep';
defaults to os.environ['PATH']). Checks for all executable
extensions. Returns full path or None if no command is found.... | 265b5f088147628bae25902677011a71c7628de2 | 3,613,108 |
def aup():
"""Send the user to Acceptable Use Policy page"""
# Read AUP from markdown dir
domain_name = domain_name_edgecase()
with open(
brand_dir + "/" + domain_name + "/signup_content/signup_modal.md", "r"
) as file:
aup_md = file.read()
return render_template("AUP.html", aup... | 96059408cf368fe00210b684f02a00a2b4a03d39 | 3,613,109 |
def transpose(matrix):
"""Matrix transpose
Args:
matrix: list of list
Returns:
list: list of list
"""
return list(map(list, zip(*matrix))) | 22c45de26bc19ca69ac0d04af8e2e02697290035 | 3,613,110 |
from pyspark.sql import SparkSession
from pyspark.sql.types import StructType, StringType, IntegerType, DoubleType, DateType, BooleanType, TimestampType
import os
from pathlib import Path
import gzip
import shutil
def download_metadata_file(url, outputdir, program, max_age=None):
"""
:param url:
:param o... | f5e623f2a0e26c91638dbc9a3426109b42dccee1 | 3,613,111 |
from datetime import datetime
def timestamp(s, tz=None):
"""Parse a HOBO timestamp value to Python DateTime"""
for fmt in TIME_FMTS:
try:
dt = datetime.strptime(s, fmt)
return dt.replace(tzinfo=tz) if tz else dt
except ValueError as e:
pass
raise ValueEr... | 79647ce17ef38f803c9073d2ba4075f3b93a3ec6 | 3,613,112 |
def decodeVarint32FromHttp(response):
"""Decode an 32 bit integer from a varint byte representation.
Expects an HTTP Response to read from.
"""
return _HttpDecodeVarint32(response) | b35886873bd15d608a8408907f80225c321ad869 | 3,613,113 |
def get_schema_names():
"""Return a dict of vertex and edge base names."""
names = [] # type: list
for path in _find_paths(_CONF['spec_paths']['schemas'], '*.yaml'):
names.append(_get_file_name(path))
return names | 9b746b756f7f8cd27e8a26dfcc9184d00cf58bd3 | 3,613,114 |
import os
def enumerate_any_files(source_directory, variant_directory = ""):
"""Forms a list of all files in a project directory
@param source_directory Directory containing all of the source files
@param variant_directory Variant directory to which source paths will be rewritten"""
files =... | f7d6fd89492c8a9f7687cf29da2386a997357a71 | 3,613,115 |
def gen_fix_fixups(*args):
"""
gen_fix_fixups(_from, to, size)
Relocate the bytes with fixup information once more (generic
function). This function may be called from 'loader_t::move_segm()' if
it suits the goal. If 'loader_t::move_segm' is not defined then this
function will be called automatically when... | b5e7e1b82c5f1a38fd5c48762cf873f5c4e117c6 | 3,613,116 |
import math
def line_fit(x,y):
"""Least-squares fit intercept and slope
.. versionadded:: 1.2
:arg x: sequence of independent variable data
:arg y: sequence of dependent variable data
:rtype: a :class:`~type_b.LineFitOLS`
``y`` must be a sequence of uncertain real... | 941e039b1b3d56f4f45e814227b89f88d9c9fc06 | 3,613,117 |
import pytz
def parse_resolution(json):
"""
Parse a JSON response from the server into a Resolution object.
"""
frequency = Frequency.by_tag(json.get("frequency"))
timezone = pytz.timezone(json.get("timezone"))
return Resolution(frequency, timezone) | e5e64c98aad5f3ef357fda95b3d71068a22e5731 | 3,613,118 |
def unbiased_ccd_image_dict(ccd, **kwargs):
"""Get the images keys by amp for a ccd
Parameters
----------
ccd : `MaskedCCD` or `ImageF`
CCD data object
Keywords
--------
bias : `str` or `None`
Method for bias subtraction
superbias_frame : `MaskedCCD` or `None`
B... | bf5637a6f6e6538e615102e43cd45a0a1ffb1ea8 | 3,613,119 |
def get_learning_rate_scheduler(optimizer, args):
"""Build the learning rate scheduler."""
# Add linear learning rate scheduler.
if args.lr_decay_iters is not None:
num_iters = args.lr_decay_iters
else:
num_iters = args.train_iters
num_iters = max(1, num_iters)
init_step = -1
... | 9dcc1350f63aa719a5fffbf7ec0c756186dbfe6d | 3,613,120 |
import tempfile
import pkg_resources
def plot_raster(demeter_gdf,
landclass_list,
target_year,
font_scale=1.5,
scope='conus',
resolution='0.083333',
value_to_nan=True,
nan_less_than=0.01,
na... | f333b99df7b420ae208e6e7a48a2dbffb944ec8f | 3,613,121 |
import argparse
def parseargs() -> argparse.ArgumentParser:
""" Parse arguments """
parser = worker.parseargs('Shadowserver ASN enrichment')
parser.add_argument(
'--country-codes',
help="Should point to file downloaded from {}".format(ISO_3166_FILE))
group = parser.add_mutually_exclus... | 8cbfd852b19a847f331d5b4e89cf346be1fbb2ed | 3,613,122 |
def meshgrid(*xi, **kwargs):
"""Return coordinate matrices from coordinate vectors.
Given one-dimensional coordinate arrays x1, x2, ..., xn, this function
makes N-D grids.
For one-dimensional arrays x1, x2, ..., xn with lengths ``Ni = len(xi)``,
this function returns ``(N1, N2, N3, ..., Nn)`` shap... | 72af359258994b69a80ef11a3005a03f624bc853 | 3,613,123 |
def y_dot(t,y,x,nu,F):
"""y_dot(t,y,x,nu,F)
Describes the differential equation for velocity as given in CW 12.
"""
return -(nu*y)+x-(x**3)+(F*np.cos(t)) | c9494fe04ba01785872ba238387f938f9f53e72e | 3,613,124 |
from re import DEBUG
def write_or_cache(outvolume, vol_to_write, buffer, cache, data):
"""
Arguments:
----------
outvolume: Volume object representing the output block
vol_to_write: Volume object representing a write buffer which will write into the output block represented by outvolume... | 8c148d7e3c79bffd2f3100d77703fd9ed3f3a4f5 | 3,613,125 |
def split_code_into_blocks(code):
"""Split code into blocks of code, comments, and string literals."""
def is_noncode_start(code, idx=0):
"""String starts something other than source code (eg, a comment)."""
return (is_quote(code, idx) or
is_multiline_comment_start(code, idx) o... | 47d4faf1f8dc9be7ace265926598496b96ba1150 | 3,613,126 |
def lstExcel(filepath, colname):
"""
lstExcel function analyses the excel file and creates a list of the elements, that should be translated.
Parameter:
filepath:str: Path of the excel file.
colname:str: Name of the column to be translated.
Returns list.
"""
df = pd.read_excel(fi... | d49e75e4e7974cad9fb925de083db099705050d6 | 3,613,127 |
def get_model_json_string(model_bigg_id):
"""Get the model JSON for download."""
path = join(settings.model_dump_directory,
model_bigg_id + '.json')
try:
with open(path, 'r') as f:
data = f.read()
except IOError as e:
raise NotFoundError(e.message)
return ... | bb635c4c52d8a584a50efe9f55a5590fdb73fa8a | 3,613,128 |
def compute_shot(way, labels):
"""Computes the `shot` of the episode containing labels.
Args:
way: An int constant tensor. The number of classes in the episode.
labels: A Tensor of labels of shape [batch_size].
Returns:
shots: An int 1D tensor: The number of support examples per class.
"""
class... | 324919b0a73e7c0add83d392e14aab13cb269477 | 3,613,129 |
def new_line(string: str):
"""
Append a new line at the end of the string
Args:
string: String to make a new line on
Returns: Same string with a new line character
"""
return string + "\n" | f4deeaa94a6980f95a3020fa54570fbe1f0a6e9e | 3,613,130 |
import subprocess
def git_commit_and_push(branch: str):
"""Command to git checkout, commit, and push branch"""
subprocess.run(
["git", "add", "build/"], cwd=settings.TRANSLATION_REPOSITORY_DIRECTORY
)
subprocess.run(
["git", "commit", "-m", f"{branch}"],
cwd=settings.TRANSLATIO... | eec97ba26054fe680908671f59b1cbe3cb5a370b | 3,613,131 |
def convert_to_unicode(text, encoding='utf-8', errors='ignore'):
"""字符串转换为unicode格式（假设输入为utf-8格式）
"""
if isinstance(text, bytes):
text = text.decode(encoding, errors=errors)
return text | 6c7d9a7788cd596a9a31a2b8f2aacd25e99c1813 | 3,613,132 |
import itertools
def decaying(start, decay):
"""Return an iterator of exponentially decaying values.
The first value is ``start``. Every further value is obtained by multiplying
the last one by a factor of ``decay``.
Examples
--------
>>> from climin.schedule import decaying
>>> s = dec... | ee88365b3a8e768952fc66d02047b60e3e1a34c1 | 3,613,133 |
from pytz import timezone
from datetime import datetime
def chime_local_datetime(*args):
"""Create a :class:`datetime.datetime` object in Canada/Pacific timezone.
Parameters
----------
*args
Any valid arguments to the constructor of :class:`datetime.datetime`
except *tzinfo*. Local da... | 70c0f8bbe53051514ae48e554924e73c5d2f6327 | 3,613,134 |
def build_calling_regions(contigs, regions_to_include, regions_to_exclude):
"""Builds a RangeSet containing the regions we should call variants in.
This function intersects the Ranges spanning all of the contigs with those
from regions_to_include, if not empty, and removes all of the regions in
regions_to_excl... | 13d59aedb55c3728559d5434f366448f9df642f7 | 3,613,135 |
import inspect
def _is_bound_method(the_function: object) -> bool:
"""
Returns True if fn is a bound method, regardless of whether
fn was implemented in Python or in C.
"""
if inspect.ismethod(the_function):
return True
if inspect.isbuiltin(the_function):
self = getattr(the_fun... | a0d3121c6c4e1c26b2000af73e25a3d772ef2ad3 | 3,613,136 |
import urllib
import hmac
def _is_valid_output_hash(outputs):
"""Test if a set of outputs have valid hashes on the staging channel.
Parameters
----------
outputs : dict
A dictionary mapping each output to its md5 hash. The keys should be the
full names with the platform directory, ver... | 5c750cc9344e12d44c324a0e057d945fe0adcf97 | 3,613,137 |
from sys import flags
def _CreateSubnetwork(messages, subnet_ref, network_ref, args,
include_alpha_logging, include_beta_logging,
include_l7_internal_load_balancing,
include_private_ipv6_access):
"""Create the subnet resource."""
subnetwork = messa... | c8cb23bf1a0e8a90909bc744342b759e3ac6c3de | 3,613,138 |
import os
import math
import time
def convert_video_to_numpy(filenames, width, height, n_frames_per_video, n_channels, dense_optical_flow=False):
"""Generates an ndarray from multiple video files given by filenames.
Implementation chooses frame step size automatically for a equal separation distribution of the vi... | 4faedf202bb582a20a39f65c2f9009b1d554de2b | 3,613,139 |
def rm_clusters(name):
"""
Requires the following pillar to be set:
- ceph-salt:execution:fsid
"""
ret = {'name': name, 'changes': {}, 'comment': '', 'result': False}
fsid = __salt__['pillar.get']('ceph-salt:execution:fsid')
__salt__['ceph_salt.begin_stage']("Remove cluster {}".format(fsid... | 08d4cb05ef1d681891b525196a1fe98e05a5a5ac | 3,613,140 |
def micro_averaged_auprc(df_dict, return_df=False):
"""
Compute micro-averaged area under the precision-recall curve (AUPRC)
from a dictionary of class-wise DataFrames obtained via `evaluate`.
"""
# List all unique values of thresholds across coarse categories.
thresholds = np.unique(
np... | b6d53dc94c25d8bf1c66cfa550cacfd90ccca357 | 3,613,141 |
def d2vardx2(var, lon, lat, xdim, ydim, cyclic=True, sphere=True):
"""
calculate second center finite difference along x or longitude.
https://bitbucket.org/tmiyachi/pymet/src/8df8e3ff2f899d625939448d7e96755dfa535357/pymet/grid.py
:param var: ndarray, grid values.
:param lon: array_like, longitude
... | d7ea5abbfca0ff702b42601724d57f414ec52df7 | 3,613,142 |
import json
def get_chain() -> str:
"""
Endpoint to query all of the data to display
"""
chain_data = []
for block in blockchain.chain:
chain_data.append(block.__dict__)
return json.dumps({"length": len(chain_data), "chain": chain_data}) | 6a3e0cde6a737e8d706f632556efaafed847de5b | 3,613,143 |
def read_terrace_csv(DataDirectory,fname_prefix):
"""
This function reads in the csv file with the extension "_terrace_info.csv"
and returns it as a pandas dataframe
Args:
DataDirectory (str): the data directory
fname_prefix (str): the name of the DEM
Returns:
pandas datafr... | 7005b47553f8b9d2b6852a58efa751b65d737ba9 | 3,613,144 |
import tqdm
import torch
def eval_net(net, loader, device, n_val):
"""Evaluation without the densecrf with the dice coefficient"""
net.eval()
tot = 0
with tqdm(total=n_val, desc='Validation round', unit='img', leave=False) as pbar:
for batch in loader:
imgs = batch['image']
... | d3c9d9ce57e51d39c83c894d36817362c8980560 | 3,613,145 |
def load_image(file_path, average=True):
"""
Load data from an image.
Parameters
----------
file_path : str
Path to a file.
average : bool, optional
Average a multi-channel image if True.
Returns
-------
array_like
"""
if "\\" in file_path:
raise Val... | a879f89c9d015181ce43f627f94992796fa0a284 | 3,613,146 |
def interp(frame, idx, **args):
""" Get interpolated values at indices """
unique_idx = [i for i in idx if i not in frame.index]
aug_frame = frame.append(pd.DataFrame(index=unique_idx), sort=True)
in_frame = aug_frame.sort_index().interpolate('index', **args)
return in_frame.loc[idx, frame.columns] | 9a10c48e2998dca2128d46d9fac9f7f70f2d2874 | 3,613,147 |
def calcStateTransitionMatrix(orbit, dt, mu=0.0002959122082855911, max_iter=100, tol=1e-15):
"""
Calculate the state transition matrix for a given change in epoch. The state transition matrix
maps deviations from a state at an epoch t0 to a different epoch t1 (dt = t1 - t0).
Parameters
----------
... | 3f107a34c0ef11d755065e11766c25e22656322f | 3,613,148 |
def macro_calc(item):
"""
Calculate PPV_Macro and TPR_Macro.
:param item: PPV or TPR
:type item:dict
:return: PPV_Macro or TPR_Macro as float
"""
try:
item_sum = sum(item.values())
item_len = len(item.values())
return item_sum / item_len
except Exception:
... | ec74fe80a4f52d7676beeca1f9abd701043c77af | 3,613,149 |
def convert_from_pj_fat_food(pj_fat_food):
""" Convert the given PyJSON Fat-Food to a Natural
:param pj_fat_food: The PyJSON Fat-Food being converted
:type pj_fat_food: PJ_FatFood
:return: The resulting Natural
:rtype: Natural
"""
if not is_pj_fat_food(pj_fat_food):
raise ValueError(... | a4e6b635e9406f0bada11f131e09e12e047f299b | 3,613,150 |
def raw_to_multiindex(raw_df, name):
"""
Takes a raw dataframe (vertically oriented) and transforms it in a multiindexed one.
The indices are (date, feature).
"""
iterables = [raw_df.index, raw_df.columns]
index = pd.MultiIndex.from_product(iterables, names=[DATE_COL, FEATURE_COL])
data_df =... | 5a02c1a7faf12293a92d4f239cab69351784bf42 | 3,613,151 |
def sizeof_fmt(num, suffix='B'):
"""Size to human readable format.
From stack overflow.
"""
for unit in ['', 'Ki', 'Mi', 'Gi', 'Ti', 'Pi', 'Ei', 'Zi']:
if abs(num) < 1024.0:
return "%3.1f%s%s" % (num, unit, suffix)
num /= 1024.0
return "%.1f%s%s" % (num, 'Yi', suffix) | f4b568f35e152519a12d7a154e93fa71828d5976 | 3,613,152 |
from typing import Optional
def op_register(tag: str, selector: str, info: str, min_version: Optional[str] = None):
"""
Decorator used for registering operational-data items with the op catalog.
The class being decorated needs to be a subclass of OperationalItem.
@param tag: Tag string associated with... | d1271251789a6dfbf3fc29a9dcdeae506f6c02bc | 3,613,153 |
def macdext(candles: np.ndarray, fast_period: int = 12, fast_matype: int = 0, slow_period: int = 26,
slow_matype: int = 0, signal_period: int = 9, signal_matype: int = 0, source_type: str = "close",
sequential: bool = False) -> MACDEXT:
"""
MACDEXT - MACD with controllable MA type
:... | 9cf3db38be7f705a7a3b2c6bf48b4ac601109735 | 3,613,154 |
def user_info():
"""
个人中心
:return:
"""
user = g.user
if not user:
return credits("/")
data = {
"user_info":user.to_dict()
}
return render_template("/news/user.html", data=data) | 12b527595323d043ae2a6aef13401ca4c1dd6a20 | 3,613,155 |
def height_implied_by_aspect_ratio(W, X, Y):
"""
Utility function for calculating height (in pixels)
which is implied by a width, x-range, and y-range.
Simple ratios are used to maintain aspect ratio.
Parameters
----------
W: int
width in pixel
X: tuple(xmin, xmax)
x-range i... | 8c3225a27f0284acb708434238d4861bb49b0899 | 3,613,156 |
def convert_to_valid(seq, correction_dictionary=None, alignment=False):
"""
Function that converts non-standard amino acid residues to standard ones.
Specifically:
B -> N
U -> C
X -> G
Z -> Q
' ' -> <empty string> (i.e. an empty space)
* -> <empty string>
- -> <empty string> (ON... | 1fe1f934a6c4ba92be988bb310600aee3356b95c | 3,613,157 |
def CTPixel8_getPixelName():
"""CTPixel8_getPixelName() -> char const *"""
return _VPLPython.CTPixel8_getPixelName() | 01cb3ae9fe00370806f42c15373dca5f856219c1 | 3,613,158 |
import os
def get_output_folder_path(provided_folder_path, first_font_path):
"""
If the path to the output folder was NOT provided, create
a folder in the same directory where the first font is.
If the path was provided, validate it.
Returns a valid output folder.
"""
if provided_folder_pa... | 52b326f6cae70b520197417cf167baec78a22388 | 3,613,159 |
from datetime import datetime
def create_access_token(identity: str) -> bytes:
"""Create a jwt based on identity."""
payload = {
"identity": identity,
"exp": datetime.utcnow() + timedelta(seconds=JWT_EXP_DELTA_SECONDS),
}
jwt_token = jwt.encode(payload, JWT_SECRET, JWT_ALGORITHM) # ty... | bb257506df76d004466be210bd374a9363b54909 | 3,613,160 |
import site
def apply_vs30_mod_non_parametric(
im_values: pd.DataFrame, site_info: site.SiteInfo, im: IM
) -> pd.Series:
"""Applies the user vs30 modification for non-parametric data"""
assert "PGA" in im_values.columns
pga = im_values["PGA"].copy()
return im_values[str(im)] * __get_site_amp_rati... | c8006ce81dff810f2505af7f30225b4ad713d175 | 3,613,161 |
def calc_earfcn(low_freq_hz: int, high_freq_hz: int) -> int:
"""
Calculate EARFCN in mhz for CBRS
Args:
low_freq_hz: int, Low frequency limit taken from available channel
high_freq_hz: int, High frequency limit taken from available channel
Returns:
EARFCN in mhz
"""
mid... | f757f94d65af96289fd5fe360fceb7a055788c44 | 3,613,162 |
def sortino_ratio(returns, required_return=0, period=DAILY):
"""
Determines the Sortino ratio of a strategy.
Parameters
----------
returns : pd.Series or pd.DataFrame
Daily returns of the strategy, noncumulative.
- See full explanation in tears.create_full_tear_sheet.
returns_s... | fffc6552f23f676d9a460e23383300dbc897218a | 3,613,163 |
def confusion_matrix(
prediction_detections: ndarray,
truth_detections: ndarray,
threshold: float = DEFAULT_NEG_THRESHOLD,
num_foreground_classes: int = 3,
) -> np.ndarray:
""" Compute confusion matrix to evaluate the accuracy of a classification.
By definition a confusion matrix :math:`C` is s... | 2c12478668e5ea421e98b9dfaaf75638d8c35bb7 | 3,613,164 |
def subsol_vector(str1, str2, in11, str3, str4):
"""subsol_vector(ConstSpiceChar * str1, ConstSpiceChar * str2, ConstSpiceDouble * in11, ConstSpiceChar * str3, ConstSpiceChar * str4)"""
return _cspyce0.subsol_vector(str1, str2, in11, str3, str4) | 30b59f04243c9b299848408a66eb05eb2f45305f | 3,613,165 |
def compute_per_char(ground_truth, predictions):
"""
compute per char accuracy
:param ground_truth:
:param predictions:
:return:
"""
accuracy = []
for index, label in enumerate(ground_truth):
prediction = predictions[index]
total_count = len(label)
correct_count =... | dc33b3cf7890755d9c9ef5901b4201e572323a4a | 3,613,166 |
def getBinaryFormat(name: str) -> type[BinaryFormat]:
"""
Looks up a binary format by its name attribute.
Returns the binary format with the given value for its name attribute.
Raises KeyError if there is no match.
"""
return _formatsByName[name] | 41461d9426bac31b934490aacf7b9c1b2d0ba2c4 | 3,613,167 |
import scipy
import time
import numpy
import multiprocessing
def cholesky_method(
A,
B=None,
gram=False,
exponent=1,
invert_cholesky=True,
cholmod=None):
"""
Computes trace of inverse of matrix using Cholesky factorization by
.. math::
\\mathrm{tra... | a502e29684e0f348b44e6a4897a0904aea503224 | 3,613,168 |
def extractNextlevelforthePLOT(item):
"""
'Next level for the PLOT'
"""
vol, chp, frag, postfix = extractVolChapterFragmentPostfix(item['title'])
if not (chp is not None or vol is not None or frag is not None) or 'preview' in item['title'].lower():
return None
if 'scan-trad' in item['tags']:
return None
... | 983a0c1a9605922d15ee47be934cdd82bce58517 | 3,613,169 |
def kitti_squeezeSeg16_config():
"""Specify the parameters to tune below."""
mc = base_model_config('KITTI')
mc.CLASSES = ['unknown', 'car', 'pedestrian', 'cyclist']
mc.NUM_CLASS = len(mc.CLASSES)
mc.CLS_2_ID = dict(zip(mc.CLASSES, range(len(mc.CLASSES))))
mc... | 7ed52b9b20f5f1cc04220df137470fd0050fe2a0 | 3,613,170 |
def filter_modules(command_loader, help_file_entries, modules=None, include_whl_extensions=False):
""" Modify the command table and help entries to only include certain modules/extensions.
: param command_loader: The CLICommandsLoader containing the command table to filter.
: help_file_entries: The dict of... | 2f0ec2164a67abc9c691e66a0470977a06d51b97 | 3,613,171 |
import os
async def async_setup(hass, config): # pylint: disable=unused-argument
"""Set up this component."""
_LOGGER.info(STARTUP)
config_dir = hass.config.path()
github_token = config[DOMAIN]["token"]
if config[DOMAIN]["appdaemon"]:
ELEMENT_TYPES.append("appdaemon")
if config[DOMAI... | d4465e9c8c77d1d09859946f18ab64f673d86575 | 3,613,172 |
from texar.agents.agent_utils import Space
def convert_gym_space(spc):
"""Converts a :gym:`gym.Space <#spaces>` instance to a
:class:`~texar.agents.Space` instance.
Args:
spc: An instance of `gym.Space` or
:class:`~texar.agents.Space`.
"""
if isinstance(spc, Space):
re... | d9362e00a95a76a60d9aaf6b6935dc9ec5bb92d6 | 3,613,173 |
from typing import List
def save_inventory(
session: SessionABC, inventory: List[InventoryType], merge_samples: bool = False
) -> List[InventoryType]:
"""Saves a list of inventory items to the server.
:param session: the AqSession instance
:param inventory: list of inventory items
:param merge_sa... | d01956ba2334a3ab824845a4db3261fbdec25a94 | 3,613,174 |
def positional_encoding(max_position, d_model):
"""Return the tensor encoding the position of elements in a sequence
Compute the positional encoding with a combination of sinusoidal functions
as suggested in (Vaswani at al., "Attention is all you need", 2017)
Note:
When we add the positional e... | 7ecc8ba093ab9be744ba945975fdb57570fc09be | 3,613,175 |
import re
def get_namespace(element):
"""Extract the namespace using a regular expression."""
match = re.match(r"\{.*\}", element.tag)
return match.group(0) if match else "" | 9380e104d05ae6b56463b96bf87d9c0fcd8202cf | 3,613,176 |
import os
def get_model_name(filename):
"""
>>> get_model_name("logs/0613/0613-q1-0000.train")
'0613-q1-0000'
"""
return os.path.splitext(os.path.basename(filename))[0] | a050918e827b6cbce0ecb19d002cc30619f34c6e | 3,613,177 |
import numpy
def create_LOFAR_configuration(antfile: str, meta: dict = None,
params={}):
""" Define from the LOFAR configuration file
:param antfile:
:type str:
:param name:
:type str:
:param meta:
:type dict:
:param params: Dictionary containing paramet... | affed3d6e7c7fa24d434fb51af5f15648a7e202e | 3,613,178 |
import random
def get_fittest_solution(solutions):
"""Return the fittest of the passed solutions, using tie-breaking criteria if there are ties and only using random tie-breaking as a last resort"""
# ensure that there are solutions
if not solutions:
return None
# a single solution is the ... | 9bdf8274e9f8be491da2de14b76114e95c4f0584 | 3,613,179 |
import json
def get_subs_v2(request: Request) -> HTTPResponse:
"""根据域名模糊匹配手动指定并获取订阅，在 Debug 部署模式下请求的订阅不会被删除。
如：要获取订阅 https://www.modu.me/link?token=123，
传入 modu 或 mod 或订阅实例所对应的 action-alias 既可匹配
alive action-alias 通过 pool_status() 获知，
alias 格式为 Action[Something]Cloud，如 ActionModuCloud
:para... | 70799992f78fa1827e8c79737bef977b49f7fefc | 3,613,180 |
import itertools
def sphere_plane(map, mapi) -> plt.Figure:
"""
Plots map from (3d) sphere to (2d) plane and its inverse.
:param map: Map from sphere to plane.
:param mapi: Map from plane to sphere.
:return: Figure.
"""
# Init plot object:
fig = plt.figure()
ax = np.array([[fig.ad... | a07d747fd0e1a12629591a3fdd8db2a71b6ba8e2 | 3,613,181 |
import json
import hashlib
def hash_config(configuration: dict) -> str:
"""Computes a SHA256 hash from a dictionnary.
Args:
configuration (dict): The configuration to hash
Returns:
str: _description_
"""
stringified = json.dumps(configuration, sort_keys=True)
return hashlib.s... | ccf30915fc736ce4724eb0ceceab59220e94efd0 | 3,613,182 |
def get_bag_of_communities(network, partition):
"""
:param network: dictionary containing for each key (each node/page) a dictionary containing the page categories.
:param partition: list of the community assignment
:return: list of dictionaries, one dictionary per community. Each dictionary contains th... | 615e88393b30b1989d98eeea1ac7123588a51ea9 | 3,613,183 |
import asyncio
def connect( stream_generator, user=None, database=None, password=None, loop=None, **kwargs):
"""Creates a connection to a PostgreSQL database.
This function is part of the `DBAPI 2.0 specification
<http://www.python.org/dev/peps/pep-0249/>`_; however, the arguments of the
function are... | 954e5a0b3bdb2718910f6f50df7064966fdc806f | 3,613,184 |
def add_neighbor_count_features(edge_df, X_df, structures_df):
"""
edge_df must be symmetric.
"""
cnt_df = edge_df.groupby(
['molecule_name', 'atom_index_0']).size().to_frame('EF_neighbor_count')
cnt_df.reset_index(inplace=True)
cnt_df.rename({'atom_index_0': 'atom_index_zero'}, inplace=... | 688e04893035f1340c7a14a0173f7059604665cb | 3,613,185 |
def _to_pascal_case(value: str) -> str:
"""Converts a snake_case string into a PascalCase one."""
value = value.replace("-", "_")
if value.find("_") == -1:
return value[0].upper() + value[1:]
return "".join([v.capitalize() for v in value.split("_")]) | d41985f1d182b723c9861473e4f9eca8c7a7977e | 3,613,186 |
import yaml
def load(modelSpecFilename):
"""
Need the following items in the model spec file:
costFn
decisionFn
stages
specs
:param modelSpecFilename:
:return:
"""
with open(modelSpecFilename) as f:
modelDict = yaml.load(f)
for stageDict in modelDict['specs']:
... | 5033aec67b5f0a19651cdffe96b5ce5e704aa816 | 3,613,187 |
from typing import Any
from typing import Union
from typing import Set
import re
def _replace_prefixed(text: Any, prefix: Union[str, Set[str]], value: str) -> Any:
"""
Replace all substrings starting with the prefix(es) with the value.
"""
if pd.isna(text):
return text
text = str(text)
... | cc034958d2e175e93ef9fdb252e7e0e66e2442f2 | 3,613,188 |
def perma(mat,m):
"""
Permanent of the matrix
"""
if not mat.isSquare:
return None
if mat.isIdentity:
return 1
if mat.dim[0]==2:
return m[0][0]*m[1][1] + m[1][0]*m[0][1]
if mat.dim[0]==3:
return (m[0][0]*m[1][1]*m[2][2] +
m[0][1... | 71e2408c79e09b4fa5eb328130d2b5b7e7efdf41 | 3,613,189 |
def realtime_to_gametime(secs=0, mins=0, hrs=0, days=1, weeks=1, months=1, yrs=0, format=False):
"""
This method calculates how much in-game time a real-world time
interval would correspond to. This is usually a lot less
interesting than the other way around.
Keyword Args:
times (int): The ... | 3fa4c85f4f5a71357c64d4aab53248b348736a10 | 3,613,190 |
def char_class_abbrev(cc_abbrev: str, **config):
"""
Constructs a char_class spec
:param cc_abbrev: alternative type abbreviation i.e. ascii, cc-ascii, visible, cc-visible
:param config: in **kwargs format
:return: the char_class spec
"""
spec = {
"type": 'char_class_abbrev'
} ... | da14e16657cf5666bde881c0a27d995327878ecb | 3,613,191 |
import sys
import os
import types
import importlib
def load_command_extension(command, path):
"""Loads a command extension from the path passed as argument.
Args:
command (str): name of the command (contains ``-``, not ``_``).
path (str): base path of the command extension
Returns:
... | df36869374da6f032e3b11ec9a609583176c1892 | 3,613,192 |
def trial_division(n):
"""Return a list of the prime factors for a natural number."""
if n < 2:
return []
prime_factors_list = []
temp = primeGenerate(int(n**0.5) + 1)
for p in temp:
if p*p > n:
break
while n % p == 0:
prime_factors_list.append(p)
... | 1c5dc9beb3ca237e2a7f663cb7e864bfb42c3141 | 3,613,193 |
def occlusion(net: Module, input_image: Tensor, n_top_classes: int = 3) -> Tensor:
"""Creates a attribution heatmap by occluding parts of the input image.
Args:
net: the network to visualize attribution for
input_image: image tensor of dimensions (c, h, w) or (1, c, h, w)
n_top_classes:... | e40c1ecf7293fe5b0d51de999b5f4cad3d3d2dd1 | 3,613,194 |
def log_pos(x):
"""Computes log with the assumption that x values are positive.
"""
return jnp.log(jnp.maximum(x, jnp.finfo(float).eps)) | f963ed2a38b9d81ed05e698da66a0c4e3c96a47e | 3,613,195 |
import os
import grp
def install_script(conf_dir: str, group: str):
"""
Function copies script and config files to needed directories
:param conf_dir: Path to config directory to create
:type: str
:param group: Group name to set chown root:group to config directory
:type: str
:return: Tru... | 0292ba68579d5a2b9c56fa97fb0da277d653f55b | 3,613,196 |
from typing import List
import json
def import_tree_to_json_str(imports=List[Import]) -> str:
"""
Print the imported modules tree in json format.
"""
exclude_root = imports[0]["nested_imports"]
return json.dumps(exclude_root, indent=2) | 8796c1099fb39d8cac72a50e83da23ca25e1f821 | 3,613,197 |
from typing import Tuple
def place_targets_with_goal_distance_ratio(
object_bounding_boxes: np.ndarray,
table_dimensions: Tuple[np.ndarray, np.ndarray, float],
placement_area: PlacementArea,
object_placements: np.ndarray,
goal_distance_ratio: float,
goal_distance_min: float,
max_placement_... | 26962960db0d6a4c4681890d553cafe0d78150f7 | 3,613,198 |
import torch
import tqdm
def predict(model, test_batch_generator, num_batches, device, label_map, class_weight):
"""
Main evaluation routine
"""
epoch_loss = 0
epoch_acc = 0
epoch_results = {}
epoch_results_by_tag = {}
epoch_CR = ""
output_t_pred = None
model.eval()
with ... | 0ec7d472a4cc2b17ecd5e6a033243300e1184f60 | 3,613,199 |
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