content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
from pesummary.core.plots.bounded_1d_kde import bounded_1d_kde
def _setup_triangle_plot(parameters, kwargs):
"""Modify a dictionary of kwargs for bounded KDEs
Parameters
----------
parameters: list
list of parameters being plotted
kwargs: dict
kwargs to be passed to pesummary.gw.p... | b3be4c1d402a1defafb779274970d7a4983d396d | 40,200 |
def _run_pipelines(pipelines):
"""Run the pipelines to load data.
Args:
pipelines (list): List of pipelines to be run.
Returns:
list: a list of booleans whether each pipeline completed
successfully or not.
"""
# TODO: Define these status codes programmatically.
run_... | 8bee81b94dd9ee6a74e7b5188ff275a536401cfb | 40,201 |
import collections
import math
import os
from shutil import copyfile
def reorg_train_valid(data_dir, labels, valid_ratio):
"""将验证集从原始的训练集中拆分出来"""
# 训练数据集中样本最少的类别中的样本数
n = collections.Counter(labels.values()).most_common()[-1][1]
# 验证集中每个类别的样本数
n_valid_per_label = max(1, math.floor(n * valid_ratio)... | b61e2aa6ac01dc8147288975f0af9d9c71738202 | 40,202 |
def pack(*v):
"""Packs value to fit into a word"""
w = 0
for i, x in enumerate(v):
w += INST_SZ**(len(v) - i - 1) * x
return w | e9dcbab2655033077d14060da33656734a580d3c | 40,203 |
def get_logging_connection():
"""
Get main connection for logging
:return:
"""
# todo if your db have authorize or other settings
# todo please attach your code here
return pymongo.MongoClient(host=DOCKER_HOST_IP, port=27017, maxPoolSize=1000) | a2a52e633b4a8fa3626163948d9c65355f3d5660 | 40,204 |
def print_card(card):
"""
Makes a card string from a card object
:param card: The card object
:return: The card string
"""
if card.layout() == 'normal':
return make_card_string(card)
elif card.layout() == 'split':
return make_split_card_string(card)
elif card.layout() == ... | e866afa374bc7d3664387262a5d9bf201087cc7f | 40,205 |
def component_declaration1(): # type: ignore
"""
component_declaration1 =
declaration comment
"""
return syntax.declaration, syntax.comment | 48125c163fd8a6c12159f8d68d7786caf6acf42f | 40,206 |
def BackupConfiguration(sql_messages,
instance=None,
backup_enabled=None,
backup_location=None,
backup_start_time=None,
enable_bin_log=None,
enable_point_in_time_recovery=None,... | 18750b852fda215252c1211d41cf5f1ad1f6e887 | 40,207 |
def artifact_patch_request(user_id, req_op, req_path, req_value=None,
req_from=None):
"""Modifies an attribute of the artifact
Parameters
----------
user_id : str
The id of the user performing the patch operation
req_op : str
The operation to perform on th... | 96d69c1c5a12a53238565ca032c49861d2f73c17 | 40,208 |
def topo_2_property(topology, property):
"""
Returns properties of a topology for a given topology name.
Properties:
'stk_func' - gives the stk topology function for building cages
'stoich' - gives the stoichiometries of both building blocks
assuming that the first building bloc... | 984e87ece3ad0fadf78a380807288995da873398 | 40,209 |
def get_full_names(pdb_dict):
"""Creates a mapping of het names to full English names.
:param pdb_dict: the .pdb dict to read.
:rtype: ``dict``"""
full_names = {}
for line in pdb_dict.get("HETNAM", []):
try:
full_names[line[11:14].strip()] += line[15:].strip()
except: f... | be31bb2c8e59e7b2ef4b51aba45f3cbafcb23a63 | 40,210 |
import urllib
import json
def create_package(base_url, data=None, api_key=None):
"""Post a data dict to one of the actions of the CKAN action API.
See the documentation of the action API, including each of the available
actions and the data dicts they accept, here:
http://docs.ckan.org/en/ckan-1.8/api... | 24e58d050c7c7cc26d03f659e789143da722c77c | 40,211 |
def getDiffError(a, b):
"""
(Deprecated)Calculate the distance square between a and b.
Parameters
----------
a, b : ndarray of float, in the same shape
The two matrices to be compared
Returns
-------
float
The sum of element-wise distance square between a and b.
... | f31a785907c949b4f4230fc7e35a2b396dc40cdc | 40,212 |
from scipy import linalg
import warnings
def _fit_corrs(x_xt, x_y, n_ch_x, reg_type, alpha, n_ch_in):
"""Fit the model using correlation matrices."""
known_types = ('ridge', 'laplacian')
if isinstance(reg_type, string_types):
reg_type = (reg_type,) * 2
if len(reg_type) != 2:
raise Valu... | 9033ab134f89183afb7e850f7d61b6793103b42d | 40,213 |
def symbol(a=None):
"""
Return a variable from the symbolic ring with the given name.
If an expression is given, it is returned unchanged.
"""
if isinstance(a, Expression):
return a
return SR.symbol(a) | 48728d7775fa8013499e8070f557efe4bda63218 | 40,214 |
import glob
def get_files(base_dir, ref_dir):
"""
get_files: get all the asdf files in base_dir.
"""
allfiles = sorted(glob(join(base_dir, "*h5")))
# we should use the head of ref_dir and the base of the globbed files
result = []
for each_file in allfiles:
result.append(join(ref_di... | 5244e313193c9d77829f07e5400287953b89749e | 40,215 |
def load_image(filename):
"""Loads a PNG image file."""
string = tf.read_file(filename)
image = tf.image.decode_image(string, channels=3)
image = tf.cast(image, tf.float32)
image /= 255
return image | 414ead568ecbbe61b90a155c50cdf83ee7783ec9 | 40,216 |
import abc
def _actor_in_relationship(actor, relationship):
"""Test whether the given actor is present in the given attribute"""
if actor == relationship:
return True
if isinstance(relationship, (AppenderMixin, Query, abc.Container)):
return actor in relationship
return False | 7c9ab9c17552e4156dd0341a8244f9ef13e8aaa9 | 40,217 |
import math
def gamma_correct(cs, c):
"""
Transform linear RGB values to nonlinear RGB values. Rec.
709 is ITU-R Recommendation BT. 709 (1990) ``Basic
Parameter Values for the HDTV Standard for the Studio and
for International Programme Exchange'', formerly CCIR Rec.
709. For details see
... | ebdc970f9e2e82e372bb4f83c162c9d9c2df0f44 | 40,218 |
def get_flat_pos_array(img_arr):
"""Converts grayscale image numpy array into flat array
with cube positions for blender.
"""
WIDTH = 160
HEIGHT = 120
THRESH = 127
res_arr = np.zeros(WIDTH*HEIGHT*3)
white_indexes = np.argwhere(img_arr > THRESH)
for row in white_indexes:
y, x... | 7053be7d2cdfee76ca1e347a0982fa08589e99d5 | 40,219 |
import re
def extract_last_reg_status_change(strValue):
"""处理show onu last-reg-status-change命令得到的数据。其中，时间若为0000-00-00 00:00:00，将会转换为None。
Args:
strValue (str): show onu last-reg-status-change命令得到的数据
Returns:
list: 字典列表。
"""
# SLOT PON ONU LAST_OFF_TIME LAST_ON_TIME
# 4 ... | 8661b1b01cc0a8d9c01cad892c2b9560fcbc5406 | 40,220 |
def slurp(filename):
"""Return the contents of a file as a single string."""
fh = open(filename, 'r')
try:
contents = fh.read()
finally:
fh.close()
return contents | f3e4a943dfe64dbc02e887a2f5f18e39597c8094 | 40,221 |
def refsoot_imag(wavelengths, enhancement_param=1):
"""imaginary part ot the refractive index for soot
:param wavelengths: wavelength(s) in meter.
:param enhancement_param: This parameter enhances the mass absoprtion efficiency of BC.
It makes it possible to scale BC absorption. Values of this param... | bbd7a9ad7f14088739c8eeaef926dbc63f5a2385 | 40,222 |
def calculate_all_metrics(obs: DataArray, sim: DataArray) -> dict:
"""Calculate all metrics with default values."""
results = {
"NSE": nse(obs, sim),
"MSE": mse(obs, sim),
"RMSE": rmse(obs, sim),
"KGE": kge(obs, sim),
"Alpha-NSE": alpha_nse(obs, sim),
"Beta-NSE": ... | 6649642ad06152646a82f6c8c68a09599d89cb36 | 40,223 |
import os
def _file_path_check(filepath=None, format="png", interactive=False, is_plotly=False):
"""Helper function to check the filepath being passed.
Args:
filepath (str or Path, optional): Location to save file.
format (str): Extension for figure to be saved as. Defaults to 'png'.
... | 27d47df198331ee3dd3f6d4d0d1490520f09fd4b | 40,224 |
from typing import Pattern
def transform(pattern: Pattern) -> "Either":
"""Expand pattern into an (almost) equivalent one, but with single Either.
Example: ((-a | -b) (-c | -d)) => (-a -c | -a -d | -b -c | -b -d)
Quirks: [-a] => (-a), (-a...) => (-a -a)
"""
result = []
groups = [[pattern]]
... | d2ed8b04de376f6994d123cf8942eb8efb78068a | 40,225 |
def create_placeholders(n_x, n_y):
"""
Creates the placeholders for the tensorflow session.
Arguments:
n_x -- scalar, size of an image vector (num_px * num_px = 64 * 64 * 3 = 12288)
n_y -- scalar, number of classes (from 0 to 5, so -> 6)
Returns:
X -- placeholder for the data input, of sha... | e0140f18fd71fec61228f55384588faa0e9bf23e | 40,226 |
import requests
import html
from datetime import datetime
import time
def checkIfUpdateAvailable(updateDateFileAddress):
"""Checks the Jyväskylä open data website for wheter
there is an update for the linkkidata-package
Returns true if there is, false if there is not"""
try:
lastUpdatedDate ... | 6d7ce02adf4a2bb8e6944abfcc15dac791fa178b | 40,227 |
import torch
def nmse(outputs, targets):
"""
Normalized mean square error
:param outputs: Module's output
:param targets: Target signal to be learned
:return: Normalized mean square deviation
"""
# Flatten tensors
outputs = outputs.view(outputs.nelement())
targets = targets.view(ta... | 97d801fa520e4eda214300bf2915d43dc2ec948d | 40,228 |
async def get_schema_template(
db: AsyncSession,
tenant_id: UUID,
wallet_id: UUID,
schema_template_id: UUID,
deleted: bool | None = False,
) -> SchemaTemplateItem:
"""Get Schema Template.
Find and return a Traction Schema Template by ID.
Args:
db: database session
tenant_i... | ae5da1b26eb74ba206c6b343ad7de95d3ea9081a | 40,229 |
from typing import Callable
def get_random_box(shape: AxesLike, box_shape: AxesLike, axes: AxesLike = None, distribution: Callable = uniform):
"""Get a random box of shape ``box_shape`` that fits in the ``shape`` along the given ``axes``."""
start = distribution(shape_after_full_convolution(shape, box_shape, ... | f75e86c96905cd98853dc83f1832481daa0fc7ea | 40,230 |
def _optimize_font_size(font, text, max_font_size, min_font_size,
max_text_len):
"""Calculate the optimal font size to fit text in a given size."""
# Check size when using smallest single line font size
fontobj = ImageFont.truetype(font, min_font_size)
text_size = fontobj.getsiz... | e19784e78e484ab6effe9d57ed6e2be89799bc2f | 40,231 |
from redis import StrictRedis as Redis, RedisError
def redis_exists():
"""
Test that redis-py is installed and redis-server is running locally.
"""
try:
except ImportError:
return False
try:
Redis(db=15).ping()
return True
except RedisError:
return False | 181836efd149c4657a384628a0fe842d771d344a | 40,232 |
def get_table_type(filename):
""" Accepted filenames:
device-<device_id>.csv,
user.csv,
session-<time_iso>.csv,
trials-<time_iso>-Block_<n>.csv
:param filename: name of uploaded file.
:type filename: str
:return: Name of table type.
:rtype: str|None
"""
basename, ext = f... | bc4f39e4c9138168cec44c492b5d1965de711a7e | 40,233 |
async def async_setup_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool:
"""Set up the IPX800v5."""
hass.data.setdefault(DOMAIN, {})
config = entry.data | entry.options
session = async_get_clientsession(hass, False)
ipx = IPX800(
host=config[CONF_HOST],
port=config[CONF_PORT]... | b3f8532338984a0e05a581588336d0311948abdf | 40,234 |
def get_paradigm(dataset_name):
""" Return the paradigm of a dataset ('domain_generalization' or 'subpopulation_shift')
Args:
dataset_name (str): Name of the dataset to get the paradigm of. (Must be part of the DATASETS list)
Return:
str: The paradigm of the dataset
"""
... | c2f28b6b8d4ac4fdacbc26d04862406bc15ff240 | 40,235 |
def fix_cropBox_rot(img, bbox, input_size, rot):
"""Crop bbox from image by Affinetransform.
Parameters
----------
img: torch.Tensor
A tensor with shape: `(3, H, W)`.
bbox: list or tuple
[xmin, ymin, xmax, ymax].
input_size: tuple
Resulting image size, as (height, width).... | a181821bf6f58e1356116b06d33c6fca58a24003 | 40,236 |
def find_locations(text):
"""
Find normalized location mentions in text, with natasha library
"""
locations = []
try:
doc = Doc(text)
doc.segment(segmenter)
doc.tag_morph(morph_tagger)
doc.parse_syntax(syntax_parser)
doc.tag_ner(ner_tagger)
for token i... | 121478937e469687d482bce2454fc0fff8946a4e | 40,237 |
def length_of_longest_substring(s: str) -> int:
"""
The most obvious way to do this would be to go through all possible substrings of the string which would result in
an algorithm with an overall O(n^2) complexity.
But we can solve this problem using a more subtle method that does it with one linear tr... | 3844c6fd1c62025b704284e76da25f7c63aa0fc9 | 40,238 |
def loads(s):
"""Deserialize ``s`` (a ``str`` or ``unicode`` instance containing a
NeXTSTEP property list document) to a Python object.
If ``s`` is a ``str`` instance and is encoded with an ASCII based encoding
other than utf-8 (e.g. latin-1) then an appropriate ``encoding`` name
must be specified.... | 6d6a36091b8278865370fa35cae5c3aa5c57cbb2 | 40,239 |
def make_download_filename(genome, args, response_format):
"""
Make filename that will explain to the user what the predictions are for
:param genome: str: which version of the genome we are pulling data from
:param args: SearchArgs: argument used for search
:param response_format: str file extensio... | 4645e3175de0db81e940d0e64740e937bce7afc3 | 40,240 |
def ranges_means(data):
"""
Return ranges, means of cycles counted using Downing's method 1.
"""
turns = data_rearranged_for_rainflow_counting(data)
values = [] # of the current turns being processed
ranges = []
means = []
for turn in turns:
values.append(turn)
while ... | 6d5510709596773570ba5074cb561c66299f86f7 | 40,241 |
import os
def graphics_from_directories(directories):
"""
Calls the tools.load_all_graphics() function for all directories passed.
"""
base_path = os.path.join("static", "images")
GFX = {}
for directory in directories:
path = os.path.join(base_path, directory)
GFX[directory] = ... | 53970a2982f5539827d37588777f94808e27d211 | 40,242 |
def window_to_bounds(window, affine):
"""Convert pixels to coordinates in a window"""
minx = ((window[1][0], window[1][1]) * affine)[0]
maxx = ((window[1][1], window[0][0]) * affine)[0]
miny = ((window[1][1], window[0][1]) * affine)[1]
maxy = ((window[1][1], window[0][0]) * affine)[1]
return min... | 6377d792271a86175349daa277b8eb937dd740f5 | 40,243 |
def matches_version_constraint(constraint, target, version):
""" See http://wiki.opscode.com/display/chef/Version+Constraints
Do not pad the target to 3 (it would change the meaning of ~>)
"""
version = pad_to_3(version) # just in case
if constraint == '~>':
high = pad_to_3(target[:-2] + [(... | 38acd10494032c8fd9a6764b308ab6388363bd40 | 40,244 |
def get_management_unit_from_pt(request):
"""This function accepts post requests that contains a geojson
representation of a point. The view returns a dictionary contianing
the id, label, mu_type, centroid and bounds (extent) of the management_unit
containing the point, or an empty dictionary if the da... | 542a198a66321456e537f84120ad964a12b20769 | 40,245 |
def forge_buy(oc_user,params):
"""购买打造的装备
"""
data = {}
user_forge_obj = UserForge.get_instance(oc_user.uid)
user_property_obj = UserProperty.get(oc_user.uid)
cost_smelting = user_forge_obj.cost_smelting
user_smelting = user_property_obj.property_info.get("smelting",0)
if cost_smelting >... | 35312b9a82754c2854f9cb58266d97ebdd4d0bbe | 40,246 |
from typing import Optional
from typing import List
def tm_path(name: str) -> str:
"""Returns the path of the settings file for name ('9o', 'doc', 'go',
'gohtml')
Note: This is used to locate syntax files, and appears to break when
GoSublime is not located in the ST Package directory.
"""
pkg... | 6d711dd5eac524617e77bddbea5e8fde71ef7168 | 40,247 |
import json
def get_javascript_value(value):
"""
Get javascript value for python value.
>>> get_javascript_value(True)
true
>>> get_javascript_value(10)
10
"""
if isinstance(value, bool):
if value:
return 'true'
else:
return 'false'
else:
... | d8a20ebf1ad17e6e25d676f30cb57278b6b22589 | 40,248 |
import torch
def sort_by_seq_lens(args, batch, sequences_lengths, descending=True):
"""
Sort a batch of padded variable length sequences by their length.
Args:
batch: A batch of padded variable length sequences. The batch should
have the dimensions (batch_size x max_sequence_length x ... | 224af4c3c687f95444aa661eb45d37bb46983a30 | 40,249 |
import os
import uuid
def docker_compose_package_project_name():
"""Generate a project name using the current process PID and a random uid.
Override this fixture in your tests if you need a particular project name.
This is a package scoped fixture. The project name will contain the scope"""
return "p... | 7e7960a5e34e93618338765b95f5a4c8eb874a3f | 40,250 |
import collections
def neighbors(vertices, triangles, depth=1, direct_neighbor=False):
""" Build mesh vertices neighbors.
This is the base function to build Direct Neighbors (DiNe) kernels.
See Also
--------
neighbors_rec
Examples
--------
>>> from surfify.utils import icosahedron, ... | 659eda93903526d2fbfe62075c8165ee18fb87d9 | 40,251 |
def Bootstrap(data1, data2, M = 1e4, paired = False, direction = None, verbose = False):
""" Bootstrap difference in means between two groups.
M = float64 # Number of iterations
paired = {True, False}
direction = {"greater", "lesser", None}
if verbose = True, returns distribution and p_value, shows... | 9c5773786600c073b40fd394f0f3a3636e576f23 | 40,252 |
def read_station_coordinates(file, group=None, var_x='Xs', var_y='Ys'):
"""
Read the x and y coordinates from an NetCDF file.
:param file: Input NetCDF file
:param group: The group of the NetCDF file to read. See xarray.open_mfdataset for details.
:param var_x: Variable name for x coordinates
... | 11cf18e18c01958a6365a137682dd4bc283d6e5c | 40,253 |
def is_ctrl_z(e: InputEvent, keyboard: InputDevice) -> bool:
"""
Check whether event invokes ^z or not.
"""
return e.code == ecodes.KEY_Z and ecodes.KEY_LEFTCTRL in keyboard.active_keys() | 97fb9da93b30be1b84aabaa0ee6a389d397d65df | 40,254 |
import importlib
def import_module_from_path(filepath):
"""
Import a module from given path.
https://stackoverflow.com/a/67692/5159551
"""
spec = importlib.util.spec_from_file_location('person', filepath)
person_module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(person_... | 4bc6d2dfeaef811ceb234931e114781ecdae0e57 | 40,255 |
import numpy
import random
def time_mask(spec, T=40, n_mask=2, replace_with_zero=True, inplace=False):
"""freq mask for spec agument
:param numpy.ndarray spec: (time, freq)
:param int n_mask: the number of masks
:param bool inplace: overwrite
:param bool replace_with_zero: pad zero on mask if tru... | f69364510c78f2fc3e96fb4f028737c6c415d5df | 40,256 |
def change(csq):
"""
>>> change("missense|TMEM240|ENST00000378733|protein_coding|-|170P>170L|1470752G>A")
('170P', '170L', True)
>>> change('synonymous|AGRN|ENST00000379370|protein_coding|+|268A|976629C>T')
('268A', '268A', False)
"""
parts = csq.split("|")
if len(parts) < 7:
ret... | da43c6bd45e641b885469d07c2e6befff334d8a3 | 40,257 |
from pathlib import Path
from typing import Optional
import os
def process(
in_dir: Path = typer.Argument(
..., help="The directory containing the input form files"
),
out_dir: Optional[Path] = typer.Option(
None,
"--out_dir",
help="The directory where the output flat files... | 2005e3a38bfb3091c40b9b383983f0b58da84c52 | 40,258 |
from typing import Dict
from typing import List
from typing import Tuple
def update_params(
workload: spec.Workload,
current_param_container: spec.ParameterContainer,
current_params_types: spec.ParameterTypeTree,
model_state: spec.ModelAuxiliaryState,
hyperparameters: spec.Hyperparameters,
bat... | 464aef19fd9e8eeb894f972daad57ced56701bb8 | 40,259 |
from typing import OrderedDict
import sys
import json
def info(config, stdout=True):
"""
Info cmdline wrapper
"""
state = _get_state(config.base_dir,
config.baseline,
config.target,
config.cursor,
schema=config... | bb95ab4ea56dd99b61494208607e36ebdba88435 | 40,260 |
def with_coordinates(pw_in_path, positions_type, atom_symbols, atom_positions):
"""Return a string giving a new input file, which is the same as the one at
`pw_in_path` except that the ATOMIC_POSITIONS block is replaced by the one
specified by the other parameters of this function.
`positions_type`, `a... | 11dc207a4f17a6521a1aa6299d455f0548c50566 | 40,261 |
import sys
import glob
def list_serial_ports():
""" Lists serial port names
https://stackoverflow.com/questions/12090503/listing-available-com-ports-with-python
:raises EnvironmentError:
On unsupported or unknown platforms
:returns:
A list of the serial ports available on t... | 45a859a362cfb24bb3f08e8364bc54629dbe4319 | 40,262 |
def find_nearest(array, value):
"""
Returns the index of "array" whose data best matches "value".
https://tinyurl.com/yc7twjx8
"""
array = np.asarray(array)
idxs = np.argsort(np.abs(array - value))[0]
return idxs | 7d8b0cba75d6077a6a35b351754546bb345d8090 | 40,263 |
def TDVGGNetV1(output_units, input_shape,
num_conv_blocks=5, num_block_layers=2*[2]+3*[3], num_fc_layers=3,
conv_filters=64, conv_filters_factor=2, max_conv_filters=512,
dilation_rate=1, dilation_rate_factor=0,
hidden_fc_units=4096,
kernel_size=... | a410fe1dce21075f658d340f75f667f9902bf544 | 40,264 |
def countby(seq, key):
"""
Description
----------
Create a dictionary with keys composed of the return value of the funcion/key\n
applied to each item in the sequence. The value for each key is the number of times\n
each key was returned.
Parameters
----------
seq : (list or tuple o... | 45ce59f9fd5c837eefbb04ac31d662a10974598d | 40,265 |
import re
def datefmt_to_regex(datefmt):
"""
Convert a strftime format string to a regex.
:param datefmt: strftime format string
:type datefmt: ``str``
:returns: Equivalent regex
:rtype: ``re.compite``
"""
new_string = datefmt
for pat, reg in PATTERN_MATCHNG:
new_string =... | 9daeeada904bdd1ca4b71a6e389e9f1ae1ac6ead | 40,266 |
def hsv_decomposition(image, channel='H'):
"""Decomposes the image into HSV and only returns the channel specified.
Args:
image: numpy array of shape(image_height, image_width, 3).
channel: str specifying the channel. Can be either "H", "S" or "V".
Returns:
out: numpy array of shap... | c7a853d8c3c4dac4748db262b992235786e91382 | 40,267 |
def resize_images(X, y):
"""
This method resizes the images to height=66, widht=200
No. of Output Images = No. of Input Images
"""
images = []
steering_angles = []
for i in range(len(X)):
resized = cv2.resize(X[i], (200, 66))
images.append(resized)
steering_angles.app... | c5356e2f3e6504f99901c6308a901b3e03047919 | 40,268 |
def spline_area(s_tuple, N=None):
"""Compute area of spline s discretized in N segments."""
# to get a good approx. take 3 x the number of knots
if N is None:
N = 3 * len(s_tuple[0])
c = splev(np.linspace(0, 1, N, endpoint=False), s_tuple)
cprm = splev(np.linspace(0, 1, N, endpoint=False),... | 0379ad15d86e5715ce142fdae5c038f4e01e5e72 | 40,269 |
def kgtk_date_hour(x):
"""Return the hour component of a KGTK date literal as an int.
"""
if isinstance(x, str):
m = KgtkValue.lax_date_and_times_re.match(x)
if m:
return int(m.group('hour')) | 50cd9029ce956f719b5618b2f7523ec876f6f2ce | 40,270 |
def conv3d_blk(x, shape, stride, phase):
"""conv3d block with ReLu"""
W = tf.get_variable("W", shape=shape, initializer=tf.contrib.layers.xavier_initializer())
b = tf.get_variable("b", shape=shape[4], initializer=tf.constant_initializer(0.1))
return conv3d(tf.nn.relu(tf.contrib.layers.batch_norm(x, is_t... | aec3a1f5de5db5f519499cf0ed32ae553f53d6b1 | 40,271 |
def check_bias(bias: TensorParams):
"""This function checks whether the bias values fit in 40 bits"""
if bias and bias.dtype == np.dtype("int64"):
valid = all(len(bin(bias_value)[2:]) <= 40 for bias_value in bias.values)
return valid
return True | 666fa565611fc5496a2adb4d6319bd72c4e9ecb4 | 40,272 |
import argparse
def build_parser():
"""Build the cli args parser."""
parser = argparse.ArgumentParser(
description=f"""Kubesplit v{__version__}
Split a set of Kubernetes descriptors to a set of files.
The yaml format of the generated files can be tuned using the same\
... | 3690bd7d7de9036828c9c02b021e832c9f762fb3 | 40,273 |
def l2normalize(v, eps=1e-12):
"""l2 normalize the input vector.
Args:
v: tensor to be normalized
eps: epsilon (Default value = 1e-12)
Returns:
A normalized tensor
"""
return v / (tf.reduce_sum(v ** 2) ** 0.5 + eps) | 9e3ecce736672a74e5239a3855b696dba8d0ec7c | 40,274 |
def check_password_by_hash(pw, hashed_pw):
"""Check a password against a salted hash"""
expected_hash = hashed_pw.encode('utf8')
return bcrypt.checkpw(pw.encode('utf8'), expected_hash) | 3aeb5699c708c28305e446c87e9d3a985dea3c33 | 40,275 |
def empty_ang():
"""Return an empty angle tensor representing 1 residue-level pad character."""
dihe_padding = np.zeros(NUM_ANGLES)
dihe_padding[:] = GLOBAL_PAD_CHAR
return dihe_padding | 0770020f1c61b5c6105a907229b74d67c2e128da | 40,276 |
def _retrieve_gb_sent_state(status: FritzStatus, last_value: str) -> float:
"""Return upload total data."""
return round(status.bytes_sent * 8 / 1024 / 1024 / 1024, 1) | 6a90fac0cbfee7ebd85506b53892ae809eb9bd51 | 40,277 |
def create_index(strings, method='fb-trie'):
"""Create a searchable index for a list of strings.
Parameters
----------
strings : iterable of str
Strings to index
method : {'fb-trie', 'trie'}
Index method to use. This affects memory usage and
query run time.
'fb-trie... | 839434a2489f99560ae5aa3a7a4d9bfdf875cfb7 | 40,278 |
def calculate_factor_initial_size(n, key):
"""
Calculate different initial embedding sizes by a chosen factor.
:param n: Number of nodes in the graph
:param key: The factor- for example if key==10, the sizes will be n/10, n/100, n/100, .... the minimum is 100 nodes
in the initial embedding
:retu... | 35fdef82e55647b20f9d86ec926e77c1d5244e2e | 40,279 |
def addAxes(pos, NixTopMargin=False, NixBottomMargin=False):
"""Add axes according the pos list, and return the axes handle.
# margin indices 0,1,2,3 for each panel (left, right, bottom, top)
"""
rect = pos[0]+margins[0], pos[1]+margins[2], pos[2]-margins[0]-margins[1], pos[3]-margins[2]-margins[3]
... | cb0b5bb671cfe2a5b774914c31c99f678716847b | 40,280 |
def main(reference_rmouth_outflows_filename, data_rmouth_outflows_filename,
grid_type='HD',param_set='default',flip_data_field=False,
rotate_data_field=False,flip_ref_field=False,rotate_ref_field=False,**grid_kwargs):
"""Top level river mouth matching routine. Deals with file handling"""
refer... | 0d7f73c41fa2881ae520c42488411eb84ea89dc7 | 40,281 |
from re import T
def cast(x, dtype, same_kind=True):
"""
Parameters
----------
x: scalar, array or Theano variable
The variable to cast
dtype: str
The type to which cast the variable. One of
- 'int8'
- 'int16'
- 'int32'
- 'int64'
- 'uint8'
... | 538708aa20f4f1e839eb1b633d39395c92aa631e | 40,282 |
def verify_routing_routes(device,
addr_list,
protocol,
contains,
max_time=60,
check_interval=10):
"""Verifies address list agianst 'show route protocol {protocol}'
Args:
add... | b2da7600f4862c0e3defe321bab64cd8ddaad997 | 40,283 |
def group(db):
"""Create group for the tests."""
group = GroupFactory()
db.session.commit()
return group | 34ab9dc9a9d4766feb9c6e50823efe238ae17fb1 | 40,284 |
def is_iterable(value):
""" Verifies the value is an is_iterable
:param value: value to identify if iterable or not.
"""
try:
iterable_obj = iter(value)
return True
except TypeError as te:
return False | 13728b7c28506086a3eb9b8faefcdc6276eba00e | 40,285 |
def remove_stop_words(tokenized_headline_list):
"""
Takes list of lists of tokens as input and removes all stop words.
"""
filtered_tokens = []
for token_list in tokenized_headline_list:
filtered_tokens.append([token for token in token_list if token not in set(stopwords.words('english'))])
return filtered_toke... | ddaa84becd4294881a3a7b5dc7582d0d289dd045 | 40,286 |
def set_agent_config(sampling_interval_seconds=1, cpu_limit_percentage=DEFAULT_CPU_LIMIT_PERCENTAGE):
"""
Reporting interval needs to have a minimum value and cpu_limit_percentage is used later in tests;
the other values can be None as we are not using them here.
"""
return AgentConfiguration.set(
... | 8b273996fd48ebcb82de739290e486da5956941a | 40,287 |
def rw_normalize(A):
"""
Random walk normalization: computes D^⁼1 * A.
Parameters
----------
A: torch.Tensor
The matrix to normalize.
Returns
-------
A_norm: torch.FloatTensor
The normalized adjacency matrix.
"""
degs = A.sum(dim=1)
degs[degs == 0] = 1
r... | 2a9f90d1f2bf02545e9719b0f373e6eb215fa0cd | 40,288 |
def get_all_stock_fundamentals():
"""
Returns a dict mapping instrument id to stock fundamentals
"""
db = get_db()
fundamentals_by_instrument_id = dict()
all_fundamentals = list(db["fundamentals"].find())
for f in all_fundamentals:
fundamentals_by_instrument_id[f["instrument_id"]] ... | 2933ee111b4754609a7172ac93648bccff6439fc | 40,289 |
import os
def get_assets_zip_provider():
"""Opens stock TensorBoard web assets collection.
Returns:
Returns function that returns a newly opened file handle to zip file
containing static assets for stock TensorBoard, or None if webfiles.zip
could not be found. The value the callback returns must be cl... | 562f20b276ebe75ccfbedf8ab05080e322cc6865 | 40,290 |
def _binary_operator_expression(expression, expression_right):
"""Builds the IR for a chain of equal-precedence left-associative operations.
_binary_operator_expression transforms a right-recursive list of expression
tails into a left-associative Expression tree. For example, given the
arguments:
6, (T... | 3064a7b0989f38245d8b1816a3d5d3414eb5979f | 40,291 |
import re
def extract_diacritics(join=True):
"""
Extracts unique diacritics from a pasted column of IPA transcriptions.
Args:
join : specifies joining of diacritics in the same transcription.
Default True.
Requires:
regex module as re
reDiac()
... | 2ba59f3bd5463f03aecc7679fec88f02847921cc | 40,292 |
def announce_work(work_on_population):
"""Handle the worker counter."""
def wrapper(
analysis_id: str, t: int, redis: StrictRedis,
kill_handler: KillHandler, **kwargs):
# notify sign up as worker
n_worker = redis.incr(idfy(N_WORKER, analysis_id, t))
logger.info(
... | ca27bd7dfe71dc36f6e9e7743bdcfd4c73f4f803 | 40,293 |
def round(arg: ir.NumericValue, digits: int | None = None) -> ir.NumericValue:
"""Round values to an indicated number of decimal places.
Returns
-------
rounded : type depending on digits argument
digits None or 0
decimal types: decimal
other numeric types: bigint
digits non... | ceb4022f5397d76d0d55904d8c9d04536bafb490 | 40,294 |
from simtk import unit
from typing import List
from typing import Tuple
import pickle
def load_data_sets(
atom_features: List[AtomFeature], bond_features: List[BondFeature]
) -> Tuple[MoleculeGraphDataLoader, MoleculeGraphDataLoader, int]:
"""Loads in the train and test molecules and generates labelled, featu... | a3e65f6f4a5ff392662ffb7da88a355af165a22e | 40,295 |
def login():
"""View function to login. Uses the login form.
If the @login_required decorator is used on a view function
then the user will be redirected to this function."""
if current_user.is_authenticated:
return redirect(url_for('index'))
form = LoginForm()
if form.validate_on... | 202880c166dfaa9c29557caf9bd2b738e8c391c4 | 40,296 |
def to_isbn13(number):
"""Convert the number to ISBN-13 format."""
number = number.strip()
min_number = compact(number, convert=False)
if len(min_number) == 13:
return number # nothing to do, already ISBN-13
# put new check digit in place
number = number[:-1] + ean.calc_check_digit('978... | acdccd1dffc576322b6ac3af9e1c2d64131bfebc | 40,297 |
import itertools
def refine_flare_ranges(lc, sigma=3., makeplot=True, flare_ranges=None):
""" Identify the start and stop indexes of a flare event after
refining the INFF by masking out the initial flare detection indexes. """
if not flare_ranges:
flare_ranges, _ = find_flare_ranges(lc, sigma=sigm... | f73b8d46ac70bf10134749c0446382aee5d8cdb9 | 40,298 |
from typing import OrderedDict
def get_partial_lm_state_dict(model_state_dict, modules):
"""Create compatible ASR state_dict from model_state_dict (LM).
The keys for specified modules are modified to match ASR decoder modules keys.
Args:
model_state_dict (odict): trained model state_dict
... | bed8b06ba372ab0c8020d3f58fec07cdd4bdd9dd | 40,299 |
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