content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def add_data(
dates=None,
product="AOD15",
*,
inv_type=None,
latlonbox=None,
siteid=None,
daily=False,
lunar=False,
#
# post-proc
freq=None,
detect_dust=False,
interp_to_aod_values=None,
#
# joblib
n_procs=1,
verbose=10,
):
"""Load AERONET data fro... | a5ef56efa84d64b569a2ecb506f541d4556c7391 | 23,600 |
def _func(*args, **kwargs):
"""Test function used in some tests."""
return args, kwargs | 7fb2aa947806578e5378e66ce7dc1b4f3f593dbe | 23,601 |
def combine_parallel_circuits(IVprev_cols, pvconst):
"""
Combine crosstied circuits in a substring
:param IVprev_cols: lists of IV curves of crosstied and series circuits
:return:
"""
# combine crosstied circuits
Irows, Vrows = [], []
Isc_rows, Imax_rows = [], []
for IVcols in zip(*... | 31d6a96189b703bca0e9cf212472cb0c8870d3cd | 23,602 |
def _create_pipeline(pipeline_name: str, pipeline_root: str, data_root: str,
module_file: str, serving_model_dir: str,
metadata_path: str) -> tfx.dsl.Pipeline:
"""Creates a three component penguin pipeline with TFX."""
# Brings data into the pipeline.
example_gen = tfx.co... | 6254505a2d0309a8576a277b95a521294f9f8901 | 23,603 |
def create_global_step() -> tf.Variable:
"""Creates a `tf.Variable` suitable for use as a global step counter.
Creating and managing a global step variable may be necessary for
`AbstractTrainer` subclasses that perform multiple parameter updates per
`Controller` "step", or use different optimizers on different... | d1fc499b60d09d50e555977b73eec04971e11b3b | 23,604 |
def supported_coins_balance(balance, tickers):
"""
Return the balance with non-supported coins removed
"""
supported_coins_balance = {}
for coin in balance.keys():
if coin != "BTC":
if f"{coin}/BTC" in tickers:
supported_coins_balance[coin] = balance[coin]
... | aaea856c728d04f47f52c1b07c66be57ff17d8cf | 23,605 |
def _identity_map(size):
"""Function returning list of lambdas mapping vector to itself."""
return [lambda x, id: x[id] for _ in range(size)] | 6236d42d359fdc9b006bffcc597fccbc161eb53d | 23,606 |
def With(prop, val):
"""The 'with <property> <value>' specifier.
Specifies the given property, with no dependencies.
"""
return Specifier(prop, val) | fc4a167322ab5bde74eabf1b69efb5d37f643405 | 23,607 |
def pad_node_id(node_id: np.uint64) -> str:
""" Pad node id to 20 digits
:param node_id: int
:return: str
"""
return "%.20d" % node_id | 28cdaad2aa327143432c5be58598271139574a50 | 23,608 |
def ballcurve(x: ArrayLike, xi: float) -> ArrayLike:
"""
function to generate the curve for the nested structure, given a shape
parameter xi. If xi= 1 is linear.
input:
----------
x: 1D array, [0,1]
initial values to be evaluated on the function
xi: number, >=1
shape paramete... | 6b261793e1bdccc39bc66f25f4013d07d3bfc376 | 23,609 |
def center_vertices(vertices, faces, flip_y=True):
"""
Centroid-align vertices.
Args:
vertices (V x 3): Vertices.
faces (F x 3): Faces.
flip_y (bool): If True, flips y verts to keep with image coordinates convention.
Returns:
vertices, faces
"""
vertices = verti... | 85743c3b3e3838533e78c66b137cc9c8c7702519 | 23,610 |
def fingerprint_atompair(fpSize=2048, count=False):
"""Atom pair fingerprint (list of int).
Args:
fpSize: Size of the generated fingerprint (defaults to 2048).
count: The default value of False will generate fingerprint bits
(0 or 1) whereas a value of True will generate the count o... | cbacf8bdaae11520f2bb71ae825ea574258f6242 | 23,611 |
def bend_euler_s(**kwargs) -> Component:
"""Sbend made of euler bends."""
c = Component()
b = bend_euler(**kwargs)
b1 = c.add_ref(b)
b2 = c.add_ref(b)
b2.mirror()
b2.connect("o1", b1.ports["o2"])
c.add_port("o1", port=b1.ports["o1"])
c.add_port("o2", port=b2.ports["o2"])
return c | 55c3d4dc5cc2766463f088ede2b4f04c6018eac6 | 23,612 |
def phot_error(star_ADU,n_pix,n_b,sky_ADU,dark,read,gain=1.0):
"""
Photometric error including
INPUT:
star_ADU - stellar flux in ADU (total ADU counts within aperture)
n_pix - number of pixels in aperture
n_b - number of background pixels
sky_ADU - in ADU/pix
dark ... | 45d3f335c2b7fad1e2e0f8e8e415a0bda0f774e8 | 23,613 |
def tan(x):
"""
tan(x) -> number
Return the tangent of x; x in radians.
"""
try:
res, x = _init_check_mpfr(x)
gmp.mpfr_tan(res, x, gmp.MPFR_RNDN)
return mpfr._from_c_mpfr(res)
except TypeError:
res, x = _init_check_mpc(x)
gmp.mpc_tan(res, x, gmp.MPC_RNDNN... | 651119ccd44f313b25f49e03a3f5094fa1c1a829 | 23,614 |
def test_wrapped_func():
"""
Test uncertainty-aware functions obtained through wrapping.
"""
########################################
# Function which can automatically handle numbers with
# uncertainties:
def f_auto_unc(angle, *list_var):
return umath.cos(angle) + sum(list_var)
... | 9f432e6fd0c796c733e43c2ca66d2d0373148ee4 | 23,615 |
def T2str_mag_simplified(K, TE, T2str, N):
"""Signal Model of T2str-weighted UTE GRE Magnitude Image
S = K * [ exp(-TE/T2*) ] + N
parameters:
K :: constant (proportional to proton density)
TE :: sequence echo time
T2str :: relaxation due to spin-spin effects and dephasing
N... | ddf829cf8e209602b141f1b13c8fbf5af566a8d7 | 23,616 |
def tune(runner, kernel_options, device_options, tuning_options):
""" Find the best performing kernel configuration in the parameter space
:params runner: A runner from kernel_tuner.runners
:type runner: kernel_tuner.runner
:param kernel_options: A dictionary with all options for the kernel.
:type... | 099b5e513ab52353efbce8ba1e7465acf5b1f6bc | 23,617 |
def getTimeString(t, centi=True):
"""
category: General Utility Functions
Given a value in milliseconds, returns a Lstr with:
(hours if > 0):minutes:seconds:centiseconds.
WARNING: this Lstr value is somewhat large so don't use this to
repeatedly update node values in a timer/etc. For that p... | 12cbcf4fcfd8450af110f93c77c4c5b50285c0fd | 23,618 |
def validation_supervised(model, input_tensor, y_true, loss_fn, multiclass =False, n_classes= 1):
"""
Returns average loss for an input batch of data with a supervised model.
If running on multiclass mode, it also returns the accuracy.
"""
y_pred = model(input_tensor.float())
if multiclass:
... | 901f4416fab5ebc23115ef2f3aab1b971607368e | 23,619 |
import logging
import sys
def configure_logger(app):
"""
logging: based on the configured setting we
:param app:
:return:
"""
#
# support stream and rotating handlers
logger = app.logger
logger.setLevel(logging.INFO)
if app.config['HANDLER'] == "StreamHandler":
class In... | 163d9e8e81ddeae7121c1e9cf20b00a1db4d10f0 | 23,620 |
def timing(func=None, *, name=None, is_stage=None):
"""
Decorator to measure the time taken by the function to execute
:param func: Function
:param name: Display Name of the function for which the time is being calculated
:param is_stage: Identifier for mining stage
Examples:
... | e7368e64bda81811075a295b6e36f0f9e9e7bcd5 | 23,621 |
def is_skip_file(filename):
""" Should the given file be skipped over for testing
:param filename: The file's name
:type filename: String
:return: True if the given file should be skipped, false otherwise
:rtype: Boolean
"""
filename_len = len(filename)
for skip_name in SKIP_FILES:
... | 066bcfbff6f984fb293c422f613746967713b31b | 23,622 |
def lowercase_or_notify(x):
""" Lowercases the input if it is valid, otherwise logs the error and sets a default value
Args:
String to lowercase
Returns:
Lowercased string if possible, else unmodified string or default value.
"""
try:
return x.lower()
ex... | a9e9cce9450f21f5cec80739d435e362288e8844 | 23,623 |
def is_not_null(node, eval_type, given_variables):
"""Process the is_not_null operator.
:param node: Formula node
:param eval_type: Type of evaluation
:param given_variables: Dictionary of var/values
:return: Boolean result, SQL query, or text result
"""
if eval_type == EVAL_EXP:
# ... | a261731103f81f1e4fe2c6eb191d3127acb163fe | 23,624 |
def search_for_rooms(filters, allow_admin=False, availability=None):
"""Search for a room, using the provided filters.
:param filters: The filters, provided as a dictionary
:param allow_admin: A boolean specifying whether admins have override privileges
:param availability: A boolean specifying whether... | fe29ec5b4bf27d51b45ed2ba87cb7153d176583c | 23,625 |
def get_scalar(obj):
"""obj can either be a value, or a type
Returns the Stella type for the given object"""
type_ = type(obj)
if type_ == type(int):
type_ = obj
elif type_ == PyWrapper:
type_ = obj.py
# HACK {
if type_ == type(None): # noqa
return None_
elif t... | 2b5c829a8a933ff5f80a1d17d0ba8c2a49c90643 | 23,626 |
def get_importable_subclasses(base_class, used_in_automl=True):
"""Get importable subclasses of a base class. Used to list all of our estimators, transformers, components and pipelines dynamically.
Args:
base_class (abc.ABCMeta): Base class to find all of the subclasses for.
used_in_automl: Not... | 39b858f9287e6413be4c73053a7f515c16d181e9 | 23,627 |
import math
def sin(x, deg=None, **kwargs):
"""Computes the sine of x in either degrees or radians"""
x = float(x)
if deg or (trigDeg and deg is None):
x = math.radians(x)
return math.sin(x) | 5f5809fac0fd6970fa58a20b8c70e9f6a53d96d7 | 23,628 |
def Debug(message,
print_init_shape=True,
print_forward_shape=False,
print_inverse_shape=False,
compare_vals=False,
name='unnamed'):
# language=rst
"""
Help debug shapes
:param print_init_shape: Print the shapes
:param print_forward_shape: Print the... | 2054f8c56c853c3221a004a9721d22844b3e1e04 | 23,629 |
def bloated_nested_block(block_dets, *, repeat=False, **_kwargs):
"""
Look for long indented blocks under conditionals, inside loops etc that are
candidates for separating into functions to simplify the narrative of the
main code.
"""
bloated_outer_types = set()
included_if = False
for l... | fc25529485c9725cf0de3fe5917299b084f499a3 | 23,630 |
from typing import Any
def _to_bytes(value: Any, type_str: str = "bytes32") -> bytes:
"""Convert a value to bytes"""
if isinstance(value, bool) or not isinstance(value, (bytes, str, int)):
raise TypeError(f"Cannot convert {type(value).__name__} '{value}' to {type_str}")
value = _to_hex(value)
... | f324d915377cd281eacb25b3afbde7b83deedad1 | 23,631 |
def _map_sbs_sigs_back(df: pd.DataFrame) -> pd.Series:
"""
Map Back Single-Base Substitution Signatures.
-----------------------
Args:
* df: pandas.core.frame.DataFrame with index to be mapped
Returns:
* pandas.core.series.Series with matching indices to context96
"""
def _c... | d6a8843c80acdaf5320191af51cb40c8ce7e0d42 | 23,632 |
def rmsd(
coords1: np.ndarray,
coords2: np.ndarray,
atomicn1: np.ndarray,
atomicn2: np.ndarray,
center: bool = False,
minimize: bool = False,
atol: float = 1e-9,
) -> float:
"""
Compute RMSD
Parameters
----------
coords1: np.ndarray
Coordinate of molecule 1
c... | e5f430d3ddb330c7bf61e0674c29cba3d6fadd7f | 23,633 |
def get_bridge_interfaces(yaml):
"""Returns a list of all interfaces that are bridgedomain members"""
ret = []
if not "bridgedomains" in yaml:
return ret
for _ifname, iface in yaml["bridgedomains"].items():
if "interfaces" in iface:
ret.extend(iface["interfaces"])
retu... | dad9e634a1c5306289e73d465b08b7ea857518e4 | 23,634 |
import os
import sys
def get_library_dirs():
"""
Return lists of directories likely to contain Arrow C++ libraries for
linking C or Cython extensions using pyarrow
"""
package_cwd = os.path.dirname(__file__)
library_dirs = [package_cwd]
if sys.platform == 'win32':
# TODO(wesm): I... | 376b1dac450133fd92293c27d5043a2056aa8edb | 23,635 |
from typing import List
import tqdm
def get_entity_matched_docs(doc_id_map: List[str], data: List[dict]):
"""Gets the documents where the document name is contained inside the claim
Args:
doc_id_map (List[str]): A list of document names
data (List[dict]): One of the FEVEROUS datasets
Ret... | dd49d58bd2a4dc4eed06e16d5673c85bf1ed8b73 | 23,636 |
import requests
def getTemplateKeys(k):
"""
Prints out templates key for license or gitignore templates from github api
Params: str
Return: code
"""
code = 0
if k.lower() == "license":
r = requests.get(GITHUB_LICENSE_API)
if r.status_code != 200:
code = 1
... | 641e6aeb599fb206214530b55faea44be7de7d37 | 23,637 |
def get_num_conv2d_layers(model, exclude_downsample=True, include_linear=True):
""" Check the number of Conv2D layers. """
num = 0
for n, m in model.named_modules():
if "downsample" in n and exclude_downsample:
continue
if is_conv2d(m) or (include_linear and isinstance(m, nn.Lin... | 79d1453f4cc49d358329a7d59fdd07bcdbb97736 | 23,638 |
def im_list_to_blob(ims, RGB, NIR, DEPTH):
"""Convert a list of images into a network input.
Assumes images are already prepared (means subtracted, BGR order, ...).
"""
max_shape = np.array([im.shape for im in ims]).max(axis=0)
num_images = len(ims)
if RGB & NIR & DEPTH:
blob = np.zeros((... | 96036933eddd742b9db4e211188c1716933d37dc | 23,639 |
async def async_setup_entry(hass, config_entry, async_add_devices):
"""Set up entry."""
miniserver = get_miniserver_from_config_entry(hass, config_entry)
loxconfig = miniserver.lox_config.json
devices = []
for switch_entity in get_all_switch_entities(loxconfig):
if switch_entity["type"] in ... | 1cd4114645b7454c371bc23a13e212e2ae9f8173 | 23,640 |
import torch
def gradU_from_momenta(x, p, y, sigma):
"""
strain F'(x) for momenta p defined at control points y
a method "convolve_gradient" is doing a similar job but only compute (gradF . z)
x (M, D)
p (N, D)
y (N, D)
return
gradU (M, D, D)
"""
kern = deformetrica.support.k... | 03dc67bf8bc6b8a576b1ed96de841003bcb53383 | 23,641 |
def process(seed, K):
"""
K is model order / number of zeros
"""
print(K, end=" ")
# create the dirac locations with many, many points
rng = np.random.RandomState(seed)
tk = np.sort(rng.rand(K)*period)
# true zeros
uk = np.exp(-1j*2*np.pi*tk/period)
coef_poly = poly.polyfromro... | 544d5116cf5ef3a2bff08253ee697d4a04994a2e | 23,642 |
def _gen_sieve_array(M, factor_base):
"""Sieve Stage of the Quadratic Sieve. For every prime in the factor_base
that doesn't divide the coefficient `a` we add log_p over the sieve_array
such that ``-M <= soln1 + i*p <= M`` and ``-M <= soln2 + i*p <= M`` where `i`
is an integer. When p = 2 then log_p i... | 98a8e5bedaa56dbe53aa8a152c20a015d7b3556d | 23,643 |
def yolo_eval_weighted_nms(yolo_outputs,
anchors,
num_classes,
image_shape,
score_threshold=.6):
""" yolo evaluate
Args:
yolo_outputs: [batch, 13, 13, 3*85]
anchors: [9, 2]
num_cl... | 7066f2dbb4908709a3d762443385376d44d7f9f6 | 23,644 |
def next_coach_id():
"""
Generates the next id for newly added coaches, since their slugs (which combine the id and name fields)
are added post-commit.
"""
c = Coach.objects.aggregate(Max("id"))
return c['id__max']+1 | 55be7f6411685b391e9130bd9248588f3d0d8ffc | 23,645 |
def get_unsigned_short(data, index):
"""Return two bytes from data as an unsigned 16-bit value"""
return (data[index+1] << 8) + data[index] | 9e3b7dc30eaedb99edfb35b944442d7386ad8f9e | 23,646 |
def getObjDetRoI(imgSize, imgPatchSize, objx1, objy1, objx2, objy2):
"""
Get region of interest (ROI) for a given object detection with respect to image and image patch boundaries.
:param imgSize: size of the image of interest (e.g., [1920x1080]).
:param imgPatchSize: Patch size of the image patch of in... | 2feedb9a5f79c24d0fda4eaa9b8db5bd6922b4ce | 23,647 |
def sigma_pp(b):
"""pair production cross section"""
return (
sigma_T
* 3.0
/ 16.0
* (1 - b ** 2)
* (2 * b * (b ** 2 - 2) + (3 - b ** 4) * np.log((1 + b) / (1 - b)))
) | a3745b5f39e71c5f5713e3d7e0c7fbdb53146d15 | 23,648 |
def compute_radii_simple(distances):
"""
Compute the radius for every hypersphere given the pairwise distances
to satisfy Eq. 6 in the paper. Does not implement the heuristic described
in section 3.5.
"""
n_inputs = tf.shape(distances)[1]
sorted_distances = tf.sort(distances, direction="ASC... | a935bbe6539c32d9de87b80dbaa6314152979b07 | 23,649 |
def data_resolution_and_offset(data, fallback_resolution=None):
"""Compute resolution and offset from x/y axis data.
Only uses first two coordinate values, assumes that data is regularly
sampled.
Returns
=======
(resolution: float, offset: float)
"""
if data.size < 2:
if data.s... | 9cb5a14ff5be8509509e67b1576146231258583b | 23,650 |
from typing import List
def get_changed_files_committed_and_workdir(
repo: Git, commithash_to_compare: str
) -> List[str]:
"""Get changed files between given commit and the working copy"""
return repo.repo.git.diff("--name-only", commithash_to_compare).split() | 1696c3bc41084db5d260bc1ddd7811dd9f143586 | 23,651 |
from typing import Optional
from typing import Any
def load_document_by_string(
string: str, uri: str, loadingOptions: Optional[LoadingOptions] = None
) -> Any:
"""Load a CWL object from a serialized YAML string."""
yaml = yaml_no_ts()
result = yaml.load(string)
return load_document_by_yaml(result... | 1750f0df653f155e112b3cbb363e4ee499f76ab6 | 23,652 |
import re
def rename_symbol(symbol):
"""Rename the given symbol.
If it is a C symbol, prepend FLAGS.rename_string to the symbol, but
account for the symbol possibly having a prefix via split_symbol().
If it is a C++ symbol, prepend FLAGS.rename_string to all instances of the
given namespace.
Ar... | 4c2291e3c604157df1f4d8f1f4e3b7a1277ceee2 | 23,653 |
from datetime import datetime
def py_time(data):
""" returns a python Time
"""
if '.' in data:
return datetime.datetime.strptime(data, '%H:%M:%S.%f').time()
else:
return datetime.datetime.strptime(data, '%H:%M:%S').time() | 53f1bb601ab08e06f67b759fdc9f41820ea0ff20 | 23,654 |
def create_empty_copy(G,with_nodes=True):
"""Return a copy of the graph G with all of the edges removed.
Parameters
----------
G : graph
A NetworkX graph
with_nodes : bool (default=True)
Include nodes.
Notes
-----
Graph, node, and edge data is not propagated to the new ... | aea151473bd9f11b4e0cdfdf2ac4a689a1b5af49 | 23,655 |
def trim_resize_frame(frame, resize_ratio, trim_factor):
"""
Resize a frame according to specified ratio while
keeping original the original aspect ratio, then trim
the longer side of the frame according to specified
factor.
Parameters
----------
frame: np.array
The input frame
resize_ratio: floa... | 55569da6aad4b24ef367828a2ce3353048f27ae9 | 23,656 |
def copy_doclist(doclist, no_copy = []):
"""
Save & return a copy of the given doclist
Pass fields that are not to be copied in `no_copy`
"""
cl = []
# main doc
c = Document(fielddata = doclist[0].fields.copy())
# clear no_copy fields
for f in no_copy:
if c.fields.has_key(f):
c.fields[f] = No... | 73e6554696abce1d94ace2b50cb8a28b0563fb30 | 23,657 |
def set_from_tags(tags, title, description, all=True):
"""all=True means include non-public photos"""
user = flickr.test_login()
photos = flickr.photos_search(user_id=user.id, auth=all, tags=tags)
set = flickr.Photoset.create(photos[0], title, description)
set.editPhotos(photos)
return set | 14e30d7334c75d29eccaf7957f53dadc164aedf0 | 23,658 |
import os
from datetime import datetime
def submit():
"""Upload local file.
Needs to follow the station register template.
"""
spec = get_layout_active_spec('Upload')
if request.method == 'POST':
filename = os.path.join(
app.config['UPLOAD_FOLDER'],
datetime.date.t... | 75b9af46dc067977425c9714b13e9f516ded6bca | 23,659 |
def heg_kfermi(rs):
""" magnitude of the fermi k vector for the homogeneous electron gas (HEG)
Args:
rs (float): Wigner-Seitz radius
Return:
float: kf
"""
density = (4*np.pi*rs**3/3)**(-1)
kf = (3*np.pi**2*density)**(1./3)
return kf | 4f210939ee7ec3c591c33ae7ec1b688ce2a257c6 | 23,660 |
import requests
import json
def stock_em_jgdy_detail():
"""
东方财富网-数据中心-特色数据-机构调研-机构调研详细
http://data.eastmoney.com/jgdy/xx.html
:return: 机构调研详细
:rtype: pandas.DataFrame
"""
url = "http://datainterface3.eastmoney.com/EM_DataCenter_V3/api/JGDYMX/GetJGDYMX"
params = {
"js": "datata... | 5d161ef69a77243202e48d80743c6664d8487549 | 23,661 |
def intersect_with_grid(int_coords, fill=False):
"""
Args:
- int_coords: projected coordinates to be used for intersection
- fill: whether to include the interior of the intersected cells. I.e.
if the coords of a box are provided and intersect with 0,0 and 4,4,
this would inc... | 460faccf0280749f96b34e676a936cf8a39d4b61 | 23,662 |
def safe_epsilon_softmax(epsilon, temperature):
"""Tolerantly handles the temperature=0 case."""
egreedy = epsilon_greedy(epsilon)
unsafe = epsilon_softmax(epsilon, temperature)
def sample_fn(key: Array, logits: Array):
return jax.lax.cond(temperature > 0,
(key, logits), lambda tup:... | cf9d09dcd82638c526fb9508161181af6452dad5 | 23,663 |
def get_object_from_controller(object_type, object_name, controller_ip, username, password, tenant):
"""
This function defines that it get the object from controller or raise
exception if object status code is less than 299
:param uri: URI to get the object
:param controller_ip: ip of controller
... | 590107e0106b87faa4fc228b6225e2317047ec19 | 23,664 |
from typing import DefaultDict
def scale_reshaping(scale: np.ndarray,
op2d: common.BaseNode,
kernel_channel_mapping: DefaultDict,
in_channels: bool = True) -> np.ndarray:
"""
Before scaling a kernel, the scale factor needs is reshaped to the correct
... | edaa0ecbfc172f0a8a32a7bcc70629f1b51b3f57 | 23,665 |
import os
def process_metadata(split_name, caption_data, image_dir):
"""Process the captions and combine the data into a list of ImageMetadata.
Args:
split_name: A train/test/val split name.
caption_data: caption file containing caption annotations.
image_dir: Directory containing the image ... | 240b789b3164059765d5cfc3b0e9cda6f532fac6 | 23,666 |
def add_new_exif(info):
"""
创建exif记录（从表）
:param info:
:return:
"""
return ExifInfo(make=info.get('Image Make'),
model=info.get('Image Model'),
orientation=info.get('Image Orientation'),
date_original=info.get('EXIF DateTimeOriginal'),
... | 55122efc1ef612b769be30a1e0735e237e12ab29 | 23,667 |
def prefetch_input_data(reader,
file_pattern,
is_training,
batch_size,
values_per_shard,
input_queue_capacity_factor=16,
num_reader_threads=1,
shard_que... | b754c1163cb868214e9ab74e1ae127a794a04808 | 23,668 |
def Chat_(request):
"""
{
"value" : "Your query"
}
"""
print(request.data)
serializer = PatternSerializer(request.data)
try:
response = ChatBot(serializer.data["value"])
except:
response = {
"error": "Data is in wrong formate use { 'value' : 'Your quer... | 33cada0ccbbea0e65d01179d51e5f1ed28f498bd | 23,669 |
def get_solubility(molecular_weight, density):
"""
Estimate the solubility of each oil pseudo-component
Estimate the solubility (mol/L) of each oil pseudo-component using the
method from Huibers and Lehr given in the huibers_lehr.py module of
py_gnome in the directory gnome/utilities/weathering... | 64a951e8a6d9579cf934893fe5c9bc0a9181d4cc | 23,670 |
def build_1d_frp_matrix(func, x, sigma, B=1):
""" Builds quadratic frp matrix respecting pbc.
func: Kernel function
x: position of points
sigma: width of Kernel
"""
N = len(x)
A = np.zeros((N, N))
shifts = np.arange(-5, 6) * B
for r in range(N):
for p in range(N):
... | cc2d2d51935847cc01aacb2afe5c42ad19c91fe8 | 23,671 |
def invalid_item(item_key, valid_flag=False):
"""
Update item valid_flag.
"""
if kind.str_is_empty(item_key):
raise RequiredError("item_key")
query = Registry.all()
query.filter("item_key =", item_key)
query.set("valid_flag", valid_flag)
return query.update(context.get_us... | a99408dd770be0f8eb2e3c899b8d51160359b4fa | 23,672 |
def ret_str() -> str:
"""
# blahs
blahs
# blahs
Returns
-------
"""
# blahs
# blahs
# blahs
return '' | 56c182f971ff38444f5cc04fa1ea537ebbc3cb5f | 23,673 |
from typing import Union
def get_wh_words(document: Union[Doc, Span]):
"""
Get the list of WH-words\n
- when, where, why\n
- whence, whereby, wherein, whereupon\n
- how\n
- what, which, whose\n
- who, whose, which, what\n
Resources:\n
- https://grammar.collinsdictionary.com/easy-l... | a3dd46902bf161358239a5613c5037dfe4e831ff | 23,674 |
def sample_mixture_gaussian(batch_size, p_array, mu_list, sig_list, k=K, d=DIM):
"""
samples from a mixture of normals
:param batch_size: sample size
:param p_array: np array which includes probability for each component of mix
:param mu_list: list of means of each component
:param sig_list: lis... | 80374ed474ccb284a0cdb5efb63e44652318f0a2 | 23,675 |
def sign(x: float) -> float:
"""Return the sign of the argument. Zero returns zero."""
if x > 0:
return 1.0
elif x < 0:
return -1.0
else:
return 0.0 | 5998061fcb57ef0133c6ccd56e1ad79a31b06732 | 23,676 |
import numpy
def CalculateLocalDipoleIndex(mol):
"""
Calculation of local dipole index (D)
"""
GMCharge.ComputeGasteigerCharges(mol, iter_step)
res = []
for atom in mol.GetAtoms():
res.append(float(atom.GetProp('_GasteigerCharge')))
cc = [numpy.absolute(res[x.GetBeginAtom().GetIdx... | f4e1f0cd0130cc1e94430eac2df910946f4e98d0 | 23,677 |
def tile1(icon="", **kw):
"""<!-- Tile with icon, icon can be font icon or image -->"""
ctx=[kw['tile_label']]
s = span(cls="icon %s" % icon)
ctx.append(s)
d2 = div(ctx=ctx, cls="tile-content iconic")
return d2 | fdcdecbc81733ae6b615cf5db5bce60585337efe | 23,678 |
from typing import Optional
def config_server(sender_email:str, sender_autorization_code:str, smtp_host: Optional[str] = None, smtp_port: Optional[int] = None, timeout=10):
"""
smtp server configuration
:param sender_email: sender's email
:param sender_autorization_code: sender's smtp authorization ... | f93b9efff8e8f415242bb9dbb5e09529baa1e238 | 23,679 |
def try_to_import_file(file_name):
"""
Tries to import the file as Python module. First calls
import_file_as_package() and falls back to import_file_as_module(). If
fails, keeps silent on any errors and returns the occured exceptions.
:param file_name: The path to import.
:return: The loaded mod... | 15ab5c695bb7801b894c4466994abbb9f4ad791a | 23,680 |
def is_uppervowel(char: str) -> bool:
"""
Checks if the character is an uppercase Irish vowel (aeiouáéíóú).
:param char: the character to check
:return: true if the input is a single character, is uppercase, and is an Irish vowel
"""
vowels = "AEIOUÁÉÍÓÚ"
return len(char) == 1 and char[0] i... | 14e87fc53fbb31c2a1ba66d17082be533ef8c5a9 | 23,681 |
from typing import Optional
def visualize_permutation_results(
obs_r2: float,
permuted_r2: np.ndarray,
verbose: bool = True,
permutation_color: str = "#a6bddb",
output_path: Optional[str] = None,
show: bool = True,
close: bool = False,
) -> float:
"""
Parameters
----------
... | cfdf84fd78cd54b39eb6db9b0af799a230a294c8 | 23,682 |
def htmlmovie(html_index_fname,pngfile,framenos,figno):
#=====================================
"""
Input:
pngfile: a dictionary indexed by (frameno,figno) with value the
corresponding png file for this figure.
framenos: a list of frame numbers to include in movie
figno: integer with... | 7be1cf8ffce35e51667a67f322fbf038f396e817 | 23,683 |
from pathlib import Path
import re
import io
def readin_q3d_matrix_m(path: str) -> pd.DataFrame:
"""Read in Q3D cap matrix from a .m file exported by Ansys Q3d.
Args:
path (str): Path to .m file
Returns:
pd.DataFrame of cap matrix, with no names of columns.
"""
text = Path(path).... | 35a79ff4697ba1df3b2c1754d8b28064b459201f | 23,684 |
def get_DB(type='mysql'):
"""
Parameters
----------
type
Returns
-------
"""
if type == 'mysql':
return MySQLAdapter
elif type == 'mongodb':
return MongoAdapter | 07a3f0c1fcac691855f616e2e96d5ab947ca7be3 | 23,685 |
def movstd(x,window):
""" Computes the moving standard deviation for a 1D array. Returns
an array with the same length of the input array.
Small window length provides a finer description of deviation
Longer window coarser (faster to compute).
By default, each segment is centered, ... | e9c4bc43f92d6d22c8191d1d15b93a51aadef32c | 23,686 |
def get_attribute(parent, selector, attribute, index=0):
"""Get the attribute value for the child element of parent matching the given CSS selector
If index is specified, return the attribute value for the matching child element with the specified zero-based index; otherwise, return the attribute value for the first... | fff9ec0a30dd00431164c69f5ba3430ec09f804a | 23,687 |
def rdd_plot(
data, x_variable, y_variable, nbins=20, ylimits=None, frac=None, width=20.1, deg=1
):
""" Plots a Regression Discontinouity Design graph. For this, binned
observations are portrayed in a scatter plot.
Uses non-parametric regression (local polynomial estimation) to fit a curve
on the or... | 10d0624c3a734cd097c3c23850675b7ad013837a | 23,688 |
import torch
def cal_head_bbox(kps, image_size):
"""
Args:
kps (torch.Tensor): (N, 19, 2)
image_size (int):
Returns:
bbox (torch.Tensor): (N, 4)
"""
NECK_IDS = 12 # in cocoplus
kps = (kps + 1) / 2.0
necks = kps[:, NECK_IDS, 0]
zeros = torch.zeros_like(necks)... | 546b4d4fcf756a75dd588c85ab467c21e9f45550 | 23,689 |
def my_json_render(docs, style="dep", options=None, manual=False) -> list:
"""
Render nlp visualisation.
Args:
docs (list or Doc): Document(s) to visualise.
style (unicode): Visualisation style, 'dep' or 'ent'.
options (dict): Visualiser-specific options, e.g. colors.
manual ... | a19068ae0c9e4eb89e810f378ccc8d5fbd14547a | 23,690 |
import json
def get_testcase_chain(testcase_id, case_type, chain_list=None, with_intf_system_name=None, with_extract=None,
only_first=False, main_case_flow_id=None, childless=False):
"""
根据testcase_id获取调用链, 包含接口用例和全链路用例
return example:
[
{
"preCaseId": 1,
... | 92892c432a46287559c41fe9d1b5fb11dec35e86 | 23,691 |
from typing import Iterable
def approximate_parameter_profile(
problem: Problem,
result: Result,
profile_index: Iterable[int] = None,
profile_list: int = None,
result_index: int = 0,
n_steps: int = 100,
) -> Result:
"""
Calculate profiles based on an approximati... | 478a95b370360c18a808e1753a8ad60f6a7b1bb7 | 23,692 |
def _process_input(data, context):
""" pre-process request input before it is sent to
TensorFlow Serving REST API
Args:
data (obj): the request data, in format of dict or string
context (Context): object containing request and configuration details
Returns:
(dict): a JSON-ser... | 05d48d327613df156a5a3b6ec76e6e5023fa54ca | 23,693 |
from ibmsecurity.appliance.ibmappliance import IBMError
def update_policies(isamAppliance, name, policies, action, check_mode=False, force=False):
"""
Update a specified policy set's policies (add/remove/set)
Note: Please input policies as an array of policy names (it will be converted to id's)
"""
... | 666fd658f8d6748f8705a098b0f773f3fa758bbe | 23,694 |
def is_bullish_engulfing(previous: Candlestick, current: Candlestick) -> bool:
"""Engulfs previous candle body. Wick and tail not included"""
return (
previous.is_bearish
and current.is_bullish
and current.open <= previous.close
and current.close > previous.open
) | ab46a10009368cbb057ddf79ee9eda56ab862169 | 23,695 |
import math
def yaw_cov_to_quaternion_cov(yaw, yaw_covariance):
"""Calculate the quaternion covariance based on the yaw and yaw covariance.
Perform the operation :math:`C_{\\theta} = R C_q R^T`
where :math:`C_{\\theta}` is the yaw covariance,
:math:`C_q` is the quaternion covariance and :math:`R` is
... | f98a7b996ea290f735214704d592c5926ca4d07f | 23,696 |
import logging
async def token(req: web.Request) -> web.Response:
"""Auth endpoint."""
global nonce, user_eppn, user_family_name, user_given_name
id_token = {
"at_hash": "fSi3VUa5i2o2SgY5gPJZgg",
"sub": "smth",
"eduPersonAffiliation": "member;staff",
"eppn": user_eppn,
... | 771d21043a1185a7a6b4bd34fda5ae78ad45d51e | 23,697 |
def split_train_test(observations, train_percentage):
"""Splits observations into a train and test set.
Args:
observations: Observations to split in train and test. They can be the
representation or the observed factors of variation. The shape is
(num_dimensions, num_points) and the split is over t... | 8b6aa5896c5ae8fc72414e707013248fcb320d88 | 23,698 |
def InitF11(frame):
"""F6 to navigate between regions
:param frame: see InitShorcuts->param
:type frame: idem
:return: entrie(here tuple) for AcceleratorTable
:rtype: tuple(int, int, int)
"""
frame.Bind(wx.EVT_MENU, frame.shell.SetFocus, id=wx.ID_SHELL_FOCUS)
return (wx.ACCEL_NORMAL, w... | 055852664e48154768353af109ec1be533a7ad4a | 23,699 |
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