content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
import sys
import os
import shutil
def CommitOffsite(
backup_name,
backup_suffix=None,
output_stream=sys.stdout,
preserve_ansi_escape_sequences=False,
):
"""\
Commits data previously generated by Offsite. This can be useful when
additional steps must be taken (for example, upload) before a... | bfe523c2ecabb7c4bacd2fe3015929074dbae6f3 | 3,651,000 |
def get_impropers(bonds):
"""
Iterate over bonds to get impropers.
Choose all three bonds that have one atom in common.
For each set of bonds you have 3 impropers where one of the noncommon atoms is out of plane.
Parameters
----------
bonds : list
List of atom ids that make up bonds... | c5c2fe4684269407cd4387d86840bd982f1d3fa5 | 3,651,001 |
def get_ret_tev_return(*args):
"""get_ret_tev_return(int n) -> ea_t"""
return _idaapi.get_ret_tev_return(*args) | 94d476d12313b7df4da32cb45cfe644a0078debb | 3,651,002 |
def make_figure_6(prefix=None, rng=None, colors=None):
"""
Figures 6, Comparison of Performance
Ported from MATLAB Code
Nicholas O'Donoughue
24 March 2021
:param prefix: output directory to place generated figure
:param rng: random number generator
:param colors: colormap for plotting... | 761d6ddd541dfbe42e5b57cd680306c71ae978d9 | 3,651,003 |
def slim_form(domain_pk=None, form=None):
"""
What is going on? We want only one domain showing up in the
choices. We are replacing the query set with just one object. Ther
are two querysets. I'm not really sure what the first one does, but
I know the second one (the widget) removes the choices. Th... | 7b58674e307fbbd31f0546b70309c0c723d1021c | 3,651,004 |
def input(*args):
"""
Create a new input
:param args: args the define a TensorType, can be either a TensorType or a shape and a DType
:return: the input expression
"""
tensor_type = _tensor_type_polymorhpic(*args)
return InputTensor(tensor_type, ExpressionDAG.num_inputs) | 47ab3a08f412b7dc9c679ae72bb44c76123a9057 | 3,651,005 |
def commong_substring(input_list):
"""Finds the common substring in a list of strings"""
def longest_substring_finder(string1, string2):
"""Finds the common substring between two strings"""
answer = ""
len1, len2 = len(string1), len(string2)
for i in range(len1):
mat... | 9e5e0878072a5416326ac1ed0d929adcb8511b37 | 3,651,006 |
def is_valid_url(url):
"""Checks if a URL is in proper format.
Args:
url (str): The URL that should be checked.
Returns:
bool: Result of the validity check in boolean form.
"""
valid = validators.url(url)
if valid:
return True
else:
return False | b55fd89267884dfc2507966825272a02e18d34f5 | 3,651,007 |
import re
import requests
def codepoint_to_url(codepoint, style):
"""
Given an emoji's codepoint (e.g. 'U+FE0E') and a non-apple emoji style,
returns a url to to the png image of the emoji in that style.
Only works for style = 'twemoji', 'noto', and 'blobmoji'.
"""
base = codepoint.replace(... | a5b47f5409d465132e3fb7141d81dbd617981ca8 | 3,651,008 |
def getRNCS(ChargeSA):
"""The calculation of relative negative charge surface area
-->RNCS
"""
charge=[]
for i in ChargeSA:
charge.append(float(i[1]))
temp=[]
for i in ChargeSA:
temp.append(i[2])
try:
RNCG = min(charge)/sum([i for i in charge if i < 0.0])
... | f03011de85e1bcac01b2aba4afde61a3dd9f7866 | 3,651,009 |
def handle_auth_manager_auth_exception(error):
"""Return a custom message and 403 status code"""
response_header = {'X-REQUEST-ID': util.create_request_id()}
return {'message': error.message}, 403, response_header | 4b5212f4471a21cd54d012728705e83de5c7a86f | 3,651,010 |
def get_default_converter():
"""Intended only for advanced uses"""
return _TYPECATS_DEFAULT_CONVERTER | f88cdb13d53a228ff1d77a9065c1dabd0f83ed1d | 3,651,011 |
import json
def login(request):
"""
:param: request
:return: JSON data
"""
response = {}
if request.method == 'GET':
username = request.GET.get('username')
password = request.GET.get('password')
try:
usr = models.User.objects.filter(username=username, passwo... | 2d9b6791a2160ec63929d5a37e6d8336cca7709a | 3,651,012 |
def average_win_rate(strategy, baseline=always_roll(4)):
"""Return the average win rate of STRATEGY against BASELINE. Averages the
winrate when starting the game as player 0 and as player 1.
"""
win_rate_as_player_0 = 1 - make_averaged(winner)(strategy, baseline)
win_rate_as_player_1 = make_averaged... | 2e6b78127543456b7e931c837cf1a9468c013c33 | 3,651,013 |
def decode(chrom):
"""
Returns the communities of a locus-based adjacency codification
in a vector of int where each position is a node id and the value
of that position the id of the community where it belongs. To position
with the same number means that those two nodes belongs to same community.
... | 998a58e0d4efad2c079a9d023530aca37d0e226e | 3,651,014 |
import math
def bin_search(query, data):
""" Query is a coordinate interval. Approximate binary search for the query in sorted data,
which is a list of coordinates. Finishes when the closest overlapping value of query and
data is found and returns the index in data. """
i = int(math.floor(len(data)/2)) # binar... | bb93034bc5c7e432c3fc55d4485949688e62b84a | 3,651,015 |
def get_rating(business_id):
""" GET Business rating"""
rating = list(
db.ratings.aggregate(
[{"$group": {"_id": "$business", "pop": {"$avg": "$rating"}}}]
)
)
if rating is None:
return (
jsonify(
{
"success": False,
... | 3a1cbf3e815c879b4ddaa5185477f141b261a859 | 3,651,016 |
def fwhm(x,y):
"""Calulate the FWHM for a set of x and y values.
The FWHM is returned in the same units as those of x."""
maxVal = np.max(y)
maxVal50 = 0.5*maxVal
#this is to detect if there are multiple values
biggerCondition = [a > maxVal50 for a in y]
changePoints = []
xPoints... | 2dc18d15d2940520acde39c5914413d89e9fbc71 | 3,651,017 |
import glob
def parse_names(input_folder):
"""
:param input_folder:
:return:
"""
name_set = set()
if args.suffix:
files = sorted(glob(f'{input_folder}/*{args.suffix}'))
else:
files = sorted(glob(f'{input_folder}/*'))
for file in files:
with open(file) as f:
... | 10b72d9822d6c8057f9bc45936c8d1bfb1a029b6 | 3,651,018 |
from typing import Iterable
from typing import Tuple
from typing import Mapping
from typing import Union
def build_charencoder(corpus: Iterable[str], wordlen: int=None) \
-> Tuple[int, Mapping[str, int], TextEncoder]:
"""
Create a char-level encoder: a Callable, mapping strings into integer arrays.
... | 207a5f499930f2c408ac88199ac45c60b3ed9d97 | 3,651,019 |
import struct
def Decodingfunc(Codebyte):
"""This is the version 'A' of decoding function,
that decodes data coded by 'A' coding function"""
Decodedint=struct.unpack('b',Codebyte)[0]
N=0 #number of repetitions
L=0 # length of single/multiple sequence
if Decodedint >= 0: #single
N = 1
... | 450a3e6057106e9567952b33271935392702aea9 | 3,651,020 |
def _metric_notification_text(metric: MetricNotificationData) -> str:
"""Return the notification text for the metric."""
new_value = "?" if metric.new_metric_value is None else metric.new_metric_value
old_value = "?" if metric.old_metric_value is None else metric.old_metric_value
unit = metric.metric_un... | 855ec000b3e37d9f54e4a12d7df4f973b15b706f | 3,651,021 |
from typing import Optional
from typing import Union
from typing import List
from typing import Dict
def train_dist(
domain: Text,
config: Text,
training_files: Optional[Union[Text, List[Text]]],
output: Text = rasa.shared.constants.DEFAULT_MODELS_PATH,
dry_run: bool = False,
force_training: b... | 1d1f55dca4a6274713cdd17a7ff5efcc90b46d14 | 3,651,022 |
import logging
def convert_image_to_nifti(path_image, path_out_dir=None):
""" converting normal image to Nifty Image
:param str path_image: input image
:param str path_out_dir: path to output folder
:return str: resulted image
>>> path_img = os.path.join(update_path('data-images'), 'images',
... | 96783ad091e9b0949aa74a729b75337b9c96a0d0 | 3,651,023 |
def wav2vec2_base() -> Wav2Vec2Model:
"""Build wav2vec2 model with "base" configuration
This is one of the model architecture used in *wav2vec 2.0*
[:footcite:`baevski2020wav2vec`] for pretraining.
Returns:
Wav2Vec2Model:
"""
return _get_model(
extractor_mode="group_norm",
... | fb288116f5ef57b314ecfde4a85b1a9bb5d437ce | 3,651,024 |
from unittest.mock import patch
def dont_handle_lock_expired_mock(app):
"""Takes in a raiden app and returns a mock context where lock_expired is not processed
"""
def do_nothing(raiden, message): # pylint: disable=unused-argument
return []
return patch.object(
app.raiden.message_ha... | 2a893e7e755010104071b2b1a93b60a0417e5457 | 3,651,025 |
import sys
import _warnings
def _find_spec(name, path, target=None):
"""Find a module's spec."""
meta_path = sys.meta_path
if meta_path is None:
# PyImport_Cleanup() is running or has been called.
raise ImportError("sys.meta_path is None, Python is likely "
"shutt... | 17fe8116db7f2fedd92ab98755d4e1b4971fac96 | 3,651,026 |
def system(_printer, ast):
"""Prints the instance system initialization."""
process_names_str = ' < '.join(map(lambda proc_block: ', '.join(proc_block), ast["processNames"]))
return f'system {process_names_str};' | f16c6d5ebe1a029c07efd1f34d3079dd02eb4ac0 | 3,651,027 |
import random
def genmove(proc, colour, pluck_random=True):
""" Send either a `genmove` command to the client, or generate a random
move until it is accepted by the client """
if pluck_random and random() < 0.05:
for _count in range(100):
proc.stdin.write('1000 play %s %s\n' % (colour,... | 589a054be52c40507d8aba5f10a3d67489ec301b | 3,651,028 |
def geojson_to_meta_str(txt):
""" txt is assumed to be small
"""
vlayer = QgsVectorLayer(txt, "tmp", "ogr")
crs_str = vlayer.sourceCrs().toWkt()
wkb_type = vlayer.wkbType()
geom_str = QgsWkbTypes.displayString(wkb_type)
feat_cnt = vlayer.featureCount()
return geom_str, crs_str, feat_cnt | 33b0a2055ec70c2142977469384a20b99d26cee8 | 3,651,029 |
def tdf_UppestID(*args):
"""
* Returns ID 'ffffffff-ffff-ffff-ffff-ffffffffffff'.
:rtype: Standard_GUID
"""
return _TDF.tdf_UppestID(*args) | 1d9d5c528a2f202d49c104b7a56dd7a75b9bc795 | 3,651,030 |
def blend_multiply(cb: float, cs: float) -> float:
"""Blend mode 'multiply'."""
return cb * cs | d53c3a49585cf0c12bf05c233fc6a9dd30ad25b9 | 3,651,031 |
def print_data_distribution(y_classes, class_names):
"""
:param y_classes: class of each instance, for example, if there are 3 classes, and y[i] is [1,0,0], then instance[i] belongs to class[0]
:param class_names: name of each class
:return: None
"""
count = np.zeros(len(class_names))
pro = ... | 289ada7cab00153f894e81dd32980b8d224d637c | 3,651,032 |
import collections
def reorder_conj_pols(pols):
"""
Reorders a list of pols, swapping pols that are conjugates of one another.
For example ('xx', 'xy', 'yx', 'yy') -> ('xx', 'yx', 'xy', 'yy')
This is useful for the _key2inds function in the case where an antenna
pair is specified but the conjugate... | 98730f8434eff02c9a63506e01fbcd478e23e76e | 3,651,033 |
def get_machine_from_uuid(uuid):
"""Helper function that returns a Machine instance of this uuid."""
machine = Machine()
machine.get_from_uuid(uuid)
return machine | 6f78afd9547af5c83abf49a1ac56209ee0e6b506 | 3,651,034 |
def convert_numbers(text):
"""Convert numbers to number words"""
tokens = []
for token in text.split(" "):
try:
word = w2n.num_to_word(token)
tokens.append(word)
except:
tokens.append(token)
return " ".join(tokens) | 8d6eb622076a0404824db2dbeaaba704f3bf6e79 | 3,651,035 |
def init_emulator(rom: bytes):
""" For use in interactive mode """
emulator = NitroEmulator()
emulator.load_nds_rom(rom, True)
return emulator | 9ecaa2a876b8e5bd93deece3ccc62b41ef9c6f3f | 3,651,036 |
from typing import Dict
from typing import Union
import torch
def sub_module_name_of_named_params(named_params: kParamDictType, module_name_sub_dict: Dict[str, str]) \
-> Union[Dict[str, nn.Parameter], Dict[str, torch.Tensor]]:
"""Sub named_parameters key's module name part with module_name_sub_dict.
Arg... | 8bbcdb865f2b0c452c773bc18767128561e806c7 | 3,651,037 |
import inspect
def add_mongodb_document(
m_client_db=get_mongodb_database(),
collection=None,
index_name=None,
doc_type=None,
doc_uuid=None,
doc_body=None
):
"""
Funtion to add a MongoDB document by providing index_name,
document type, document contents as doc and document id.
"""
status = { ... | 08917c72a183d30d30d7e62ff4b5a827cf11de17 | 3,651,038 |
def my_func_1(x, y):
"""
Возвращает возведение числа x в степень y.
Именованные параметры:
x -- число
y -- степень
(number, number) -> number
>>> my_func_1(2, 2)
4
"""
return x ** y | 9572566f1660a087056118bf974bf1913348dfa4 | 3,651,039 |
def indexer_testapp(es_app):
""" Indexer testapp, meant for manually triggering indexing runs by posting to /index.
Always uses the ES app (obviously, but not so obvious previously) """
environ = {
'HTTP_ACCEPT': 'application/json',
'REMOTE_USER': 'INDEXER',
}
return webtest.Test... | 59343963307c39e43034664febb0ebf00f6ab1bd | 3,651,040 |
def BNN_like(NN,cls=tfp.layers.DenseReparameterization,copy_weight=False,**kwargs):
"""
Create Bayesian Neural Network like input Neural Network shape
Parameters
----------
NN : tf.keras.Model
Neural Network for imitating shape
cls : tfp.layers
Bayes layers class
copy_weight... | 9039f70701fd832843fd160cd71d5d46f7b17b56 | 3,651,041 |
def matrix_mult(a, b):
"""
Function that multiplies two matrices a and b
Parameters
----------
a,b : matrices
Returns
-------
new_array : matrix
The matrix product of the inputs
"""
new_array = []
for i in range(len(a)):
new_a... | 5e0f27f29b6977ea38987fa243f08bb1748d4567 | 3,651,042 |
from typing import Tuple
from typing import List
from typing import Type
from typing import _Final
def build_type(tp) -> Tuple[str, List[Type]]:
"""
Build typescript type from python type.
"""
tokens = tokenize_python_type(tp)
dependencies = [
token
for token in tokens
if t... | 475362488b7fe07db035ce70ddb3ac40580412dd | 3,651,043 |
def laplacian_radial_kernel(distance, bandwidth=1.0):
"""Laplacian radial kernel.
Parameters
----------
distance : array-like
Array of non-negative real values.
bandwidth : float, optional (default=1.0)
Positive scale parameter of the kernel.
Returns
-------
weight : ar... | fd5f777b0d21e3a7673a6589a76dd50f48384029 | 3,651,044 |
def build_eslog_config_param(
group_id,
task_name,
rt_id,
tasks,
topic,
table_name,
hosts,
http_port,
transport,
es_cluster_name,
es_version,
enable_auth,
user,
password,
):
"""
es参数构建
:param group_id: 集群名
:param task_name: 任务名
:param rt_id: rt... | 826b8d97ef14792845b4ced98ab5dcb3f36e57f3 | 3,651,045 |
def disclosure(input_df, cur_period):
"""
Reading in a csv, converting to a data frame and converting some cols to int.
:param input_df: The csv file that is converted into a data frame.
:param cur_period: The current period for the results process.
:return: None.
"""
input_df = pd.read_csv... | 65702fa309884206f284b35c48e2e8c8a34aef2b | 3,651,046 |
import os
def get_all_file_paths(directory):
"""
Gets all the files in the specified input directory
"""
file_paths = []
for root, _, files in os.walk(directory):
for filename in files:
filepath = os.path.join(root, filename)
file_paths.append(filepath)
return ... | 7055a3f3f3be5f6e0074cef55689c6234d38deb6 | 3,651,047 |
def kitchen_sink():
"""Combines all of the test data."""
return word_frequencies.load(_KITCHEN_SINK_DATA) | 4e0b0d38465fb02cd4f8aeb5e54c2f6bcbdf2cda | 3,651,048 |
import torch
def sim_matrix(a, b, eps=1e-8):
"""
added eps for numerical stability
"""
a = normalize_embeddings(a, eps)
b = normalize_embeddings(b, eps)
sim_mt = torch.mm(a, b.transpose(0, 1))
return sim_mt | d0caa5ce6e9f86b861910221321b80752b4f24e4 | 3,651,049 |
def read_addon_xml(path):
"""Parse the addon.xml and return an info dictionary"""
info = dict(
path='./', # '/storage/.kodi/addons/plugin.video.vrt.nu',
profile='special://userdata', # 'special://profile/addon_data/plugin.video.vrt.nu/',
type='xbmc.python.pluginsource',
)
tree... | 6ead602b97c12bfd78ddc7194102a84793aa631b | 3,651,050 |
import requests
def get_submission_list(start_timestamp, end_timestamp, args=None):
"""
Scrapes a subreddit for submissions between to given dates. Due to limitations
of the underlying service, it may not return all the possible submissions, so
it will be necessary to call this method again. The metho... | 7fa053c27787136420a9004721c1954318deeedb | 3,651,051 |
def loadDataSet():
"""
load data from data set
Args:
Returns:
dataSet: train input of x
labelSet: train input of y
"""
# initialize x-trainInput,y-trainInput
dataSet = []
labelSet = []
# open file reader
fr = open('testSet.txt')
for line in fr.readlines():
# strip() -- get rid of the space on bot... | 38f42a8a7c6b12e3d46d757d98565222e931149f | 3,651,052 |
def xds_read_xparm_new_style(xparm_file):
"""Parse the XPARM file to a dictionary."""
data = map(float, " ".join(open(xparm_file, "r").readlines()[1:]).split())
starting_frame = int(data[0])
phi_start, phi_width = data[1:3]
axis = data[3:6]
wavelength = data[6]
beam = data[7:10]
spac... | ba5a851c68c54aa0c9f82df1dc2334f427c8cea8 | 3,651,053 |
def clear_bit(val, offs):
"""Clear bit at offset 'offs' in value."""
return val & ~(1 << offs) | e50e5f8ccc3fe08d9b19248e290c2117b78379ee | 3,651,054 |
def get_org_details(orgs):
"""Get node and site details, store in Org object"""
org_details = []
for org in orgs:
org_id = org['id']
org_name = org['name']
org_longname = org['longname']
Org = namedtuple('Org', ['org_id', 'org_name', 'org_longname'])
org_details.exten... | 94bec33c2fbee35210ca61f6b8d3694d198c80ee | 3,651,055 |
import logging
def flush_after(handler, delay):
"""Add 'handler' to the queue so that it is flushed after 'delay' seconds by the flush thread.
Return the scheduled event which may be used for later cancellation (see cancel()).
"""
if not isinstance(handler, logging.Handler):
raise TypeError(... | a8cb8197643dbd092f709bed0726d076997e4715 | 3,651,056 |
def _ExtractCLPath(output_of_where):
"""Gets the path to cl.exe based on the output of calling the environment
setup batch file, followed by the equivalent of `where`."""
# Take the first line, as that's the first found in the PATH.
for line in output_of_where.strip().splitlines():
if line.startswith('LOC:'... | 6a0c0d4aa74b4e84de69de023e2721edd95c36bd | 3,651,057 |
import math
def logGamma(x):
"""The natural logarithm of the gamma function.
Based on public domain NETLIB (Fortran) code by W. J. Cody and L. Stoltz<BR>
Applied Mathematics Division<BR>
Argonne National Laboratory<BR>
Argonne, IL 60439<BR>
<P>
References:
<OL>
<LI>W. J. Cody and K. E. Hillstrom, 'Chebyshev Appro... | 36128e9a4b765dcc85ef42866fdbe7d16140ea1d | 3,651,058 |
def regional_validity(query_point, regional_inclusion, regional_exclusions):
""" regional_validity
Returns whether a coordinate point is inside a polygon and outside of excluded regions.
Input: A Point object, a Polygon Object of the inclusion region; a list of Polygon Objects of excluded regions.
Output: True if t... | 68e06b3d89e4783130f123d6c91dc5c43a9788ba | 3,651,059 |
def get_word_vector_list(doc, w2v):
"""Get all the vectors for a text"""
vectors = []
for word in doc:
try:
vectors.append(w2v.wv[word])
except KeyError:
continue
return vectors | f228c2100b6a622fdb677954257e2d1590dcc0ff | 3,651,060 |
def solve(lines, n):
"""Apply the rules specified in the input lines to the starting
pattern for n iterations.
The number of lit pixels in the final pattern is returned.
"""
rules = load_rulebook(lines)
pattern = START
for _ in range(n):
pattern = enhance(pattern, rules)
return s... | 781c349bfa186ac04daea60fe7e954431787ea15 | 3,651,061 |
def _to_plotly_color(scl, transparence=None):
"""
converts a rgb color in format (0-1,0-1,0-1) to a plotly color 'rgb(0-255,0-255,0-255)'
"""
plotly_col = [255 * _c for _c in mplc.to_rgba(scl)] if len(scl) == 3 else [255 * _c for _c in mplc.to_rgb(scl)]
if transparence is not None:
assert 0.... | 95b7686f913c69792e18f127176db68a3f72622f | 3,651,062 |
def dense_attention_block(seqs_repr, is_training, num_layers,
decay_variable, decay_constant,
units, dropout, query_dropout,
l2_scale, name=''):
"""
"""
for i in range(num_layers):
with tf.variable_scope('dense_attention{}'.format... | db50dd5e4d8d61622a9f989ec0ae9c02c5a4cfe1 | 3,651,063 |
def generate_schema_type(app_name: str, model: object) -> DjangoObjectType:
"""
Take a Django model and generate a Graphene Type class definition.
Args:
app_name (str): name of the application or plugin the Model is part of.
model (object): Django Model
Example:
For a model wit... | b57cd78cce59dacf1fdb1d14c667405b6cfdcc90 | 3,651,064 |
def do_authorize():
"""
Send a token request to the OP.
"""
oauth2.client_do_authorize()
try:
redirect = flask.session.pop("redirect")
return flask.redirect(redirect)
except KeyError:
return flask.jsonify({"success": "connected with fence"}) | 1e19f501ac6da94058619e8dd5905d6cd2ab1a69 | 3,651,065 |
import re
def get_windows():
"""
Return all windows found by WM with CPU, fullscreen, process name, and class information.
"""
# Basic window information
result = check_output('nice -n 19 wmctrl -l -p', shell=True)
lines = [a for a in result.decode('utf8').split('\n') if a != '']
windows =... | dd0f6f702592cf7f2fdd8541959682890dcc271e | 3,651,066 |
import google
def get_google_open_id_connect_token(service_account_credentials):
"""Get an OpenID Connect token issued by Google for the service account.
This function:
1. Generates a JWT signed with the service account's private key
containing a special "target_audience" claim.
2. Sends it to t... | 08e483865d26772112ffaf9837692f001598ced5 | 3,651,067 |
def term_to_atoms(terms):
"""Visitor to list atoms in term."""
if not isinstance(terms, list):
terms = [terms]
new_terms = []
for term in terms:
if isinstance(term, And):
new_terms += term_to_atoms(term.to_list())
elif isinstance(term, Or):
new_terms += te... | 6262ea7b1df124a4717d1452a23c33175b5da7a8 | 3,651,068 |
def expr_max(argv):
"""
Max aggregator function for :class:`Expression` objects
Returns
-------
exp : :class:`Expression`
Max of given arguments
Examples
--------
>>> x = so.VariableGroup(10, name='x')
>>> y = so.expr_max(2*x[i] for i in range(10))
"""
return expr... | 182157a627b12db6c41c79a99f135a7a493d4410 | 3,651,069 |
def handle_size(bytes_in=False, bytes_out=False):
"""
a function that converts bytes to human readable form. returns a
string like: 42.31 TB. example:
your_variable_name = make_readable(value_in_bytes)
"""
tib = 1024 ** 4
gib = 1024 ** 3
mib = 1024 ** 2
kib = 1024
if bytes_in:
... | 6e2b3b758e1afc1cea43bbe7ac0c6179b1d32c5f | 3,651,070 |
def return_elapsed(gs):
"""Returns a description of the elapsed time of recent operations.
Args:
gs: global state.
Returns:
A dictionary containing the count, minimum elapsed time,
maximum elapsed time, average elapsed time, and list of elapsed time
records.
"""
assert isinstance(gs, global_state.... | af832a3bac239e24f610e39c5dee8fde6a1a25c8 | 3,651,071 |
def calculate_per_class_lwlrap(truth, scores):
"""Calculate label-weighted label-ranking average precision.
Arguments:
truth: np.array of (num_samples, num_classes) giving boolean ground-truth
of presence of that class in that sample.
scores: np.array of (num_samples, num_classes) giving the classi... | 7cc9187f96d0899d0ce554164df553cc9b5f79a0 | 3,651,072 |
from typing import Tuple
def chan_faces(n1: int, n2: int, xform,
dim1: Tuple[float, float, float, float],
dim2: Tuple[float, float, float, float]):
"""
^y
| 0--------7
| | |
| | 5-----6
| | |
+--|--|-------> z
| |
| 4-----3
... | eb1b67dc3e0700adf1df83c7400e6fb076e0c3dd | 3,651,073 |
import hashlib
import zipfile
from datetime import datetime
def generate_manifest(name, p, h=None):
""" generate_manifest(name, p, h) -> mapping
Generates a mapping used as the manifest file.
:param name: a dotted package name, as in setup.py
:param p: the zip file with package content.... | 13c10ae405dbc6fe5acf92180e7981d07fdb9c60 | 3,651,074 |
def benchrun(methods,
model,
case_args,
filename,
cpus=1,):
"""
Parameters
----------
methods : list of str
Voter systems to be assessed by the election model.
model : func
Election model running function as
... | 414c96deb9a8d2f64b6808323465f8647aa5e48a | 3,651,075 |
def retry( exceptions,times=3,sleep_second=0):
"""
Retry Decorator
Retries the wrapped function/method `times` times if the exceptions listed
in ``exceptions`` are thrown
:param times: The number of times to repeat the wrapped function/method
:type times: Int
:param Exceptions: Lists of exceptions that trigg... | de715a0f903386358265c3fe4a13f1d91bcb177e | 3,651,076 |
def positiveId(obj):
"""Return id(obj) as a non-negative integer."""
result = id(obj)
if result < 0:
result += _address_mask
assert result > 0
return result | 5d3f987c621cf3d43ac31e9300a4d54ba208a7a0 | 3,651,077 |
import zipfile
import os
def get_vroitems_from_package(package):
"""Get all the items from the vRO Package.
Args:
package (str): Path to a package file.
Returns:
VROElementMetadata[]: a list of VROElementMetadata.
"""
vro_items_id, vro_items = [], []
with zipfile.ZipFile(pack... | 9e9257094f7da00da057dcb126b0355f2117281d | 3,651,078 |
def compute_annualized_total_return_over_months(df, column_price, months):
"""
Computed the annualized total return over the specified number of months.
This is equivalent to Compound Annual Growth Rate (CAGR).
Note: If the period is less than one year, it is best not to use annualized total return as... | a75886ae85ab5bb146d93bd159a0a2a32f950678 | 3,651,079 |
from functools import reduce
def build_sparse_ts_from_distributions(start_date, end_date, seasonalities, time_interval, dist_dict, **kwargs):
"""constructs a time series with given distributions and seasonalities in a given frequency time_interval"""
ts_list = []
for (name, dist), seasonality in zip(dist_... | 81d2ebc32a2b62ed967377faf90b3b58e7c753ff | 3,651,080 |
def preprocess_label(labels, scored_classes, equivalent_classes):
""" convert string labels to binary labels """
y = np.zeros((len(scored_classes)), np.float32)
for label in labels:
if label in equivalent_classes:
label = equivalent_classes[label]
if label in scored_classes:
... | 3e2465bb0db04afaaca0576f6c97847bd0fd2b2e | 3,651,081 |
from typing import Iterable
import os
from typing import cast
import platform
import stat
def compile_on_disk(source_file: str,
parser_name: str = '',
compiler_suite: str = "",
extension: str = ".xml") -> Iterable[Error]:
"""
Compiles the a source fi... | 39ec45c2dc65bd9e289b7fd8726f2efd6a128085 | 3,651,082 |
import logging
import yaml
def load_settings(filename='settings.yaml'):
"""Read settings from a file.
Keyword arguments:
filename -- the source file (default settings.yaml)
"""
with open(filename, 'r') as settings_yaml:
logging.debug("Reading settings from file: %s", filename)
ret... | 42a983d048b79f2ed5e8744ec32486b44c8f8a82 | 3,651,083 |
import math
def vec_abs(field: SampledField):
""" See `phi.math.vec_abs()` """
if isinstance(field, StaggeredGrid):
field = field.at_centers()
return field.with_values(math.vec_abs(field.values)) | 91395513b7e457bdfdded484db1069e8c3b95805 | 3,651,084 |
def spoofRequest(app):
"""
Make REQUEST variable to be available on the Zope application server.
This allows acquisition to work properly
"""
_policy=PermissiveSecurityPolicy()
_oldpolicy=setSecurityPolicy(_policy)
newSecurityManager(None, OmnipotentUser().__of__(app.acl_users))
info = ... | d1b3bd1a37d69f6500d23e55b5318b6519ed04be | 3,651,085 |
def data_to_percentage(data_list: pd.DataFrame) -> pd.DataFrame:
"""
Takes a dataframe with one or more columns filled with digits and returns a
dataframe with the percentages corresponding to the number of times the
numbers 1-9 appear in each column.
Args:
data_list: a dataframe of integer... | 18316ddf999419290d572e77d2934241359e45a3 | 3,651,086 |
from .models.models import EncoderClassifier
import torch
def create_classifier_from_encoder(data:DataBunch, encoder_path:str=None, path=None,
dropout1=0.5, device: torch.device = torch.device('cuda', 0), **kwargs):
"""Factory function to create classifier from encoder to allo... | 736cfec768b6d659ab6fa1f087474a482409b66e | 3,651,087 |
from typing import Hashable
def filter_string(
df: pd.DataFrame,
column_name: Hashable,
search_string: str,
complement: bool = False,
case: bool = True,
flags: int = 0,
na=None,
regex: bool = True,
) -> pd.DataFrame:
"""Filter a string-based column according to whether it contains ... | 9e5598a4afcff41ec5dc67c38b68efbacf3f09ec | 3,651,088 |
from typing import List
from typing import Dict
from typing import Union
import functools
def on_demand_feature_view(
features: List[Feature], inputs: Dict[str, Union[FeatureView, RequestDataSource]]
):
"""
Declare an on-demand feature view
:param features: Output schema with feature names
:param... | 0ea45df22cb167ad2aa919a0be40f2a11574a69a | 3,651,089 |
from typing import cast
def get_error_string(ftdi):
"""
get_error_string(context ftdi) -> char *
Get string representation for last error code
Parameters:
-----------
ftdi: pointer to ftdi_context
Returns:
--------
Pointer: to error string
"""
errstr = ftdi_get_er... | e0d3eaa19014fff9840e7a8e629651107ae25495 | 3,651,090 |
def DenseNet52k12(growth_rate = 12,
reduction = 0.5):
"""
Parameters:
----------
Returns
-------
"""
return DenseNet(reduction = reduction,
growth_rate = growth_rate,
layers=52) | a295bcae685ae36bcbe356099d404403f7b8c0b6 | 3,651,091 |
def construct_fid_mask(catalog):
"""
Constructs the fidelity mask based off my results, not Robertos
:param catalog:
:return:
"""
line_widths = [i for i in range(3, 21, 2)]
fid_catalog = load_table("fidelity_snr.out", start=0)
fid_limit = 0.4
six_fids = []
for width in line_widt... | 81f50ae4dd092482eb406bef331075245989d2f3 | 3,651,092 |
import os
import sys
def get_template(filename):
"""
return html mail template
"""
current_dir = os.path.dirname(__file__)
tpl = read_file(os.path.join(current_dir,'templates',filename))
if not tpl:
_log('Mailer error: could not load file "%s"'%filename)
sys.exit(1)
return ... | 1a253d02c6fc90e13088d530c8e02272c8bcc28c | 3,651,093 |
def _run_job(tgt, fun, arg, kwarg, tgt_type, timeout, retry):
"""
Helper function to send execution module command using ``client.run_job``
method and collect results using ``client.get_event_iter_returns``. Implements
basic retry mechanism.
If ``client.get_event_iter_returns`` return no results, `... | e23c189063e5d7df542d8e774acf655f4af61289 | 3,651,094 |
def _set_rank_colorbar(ax, img, norm):
""" Set color bar for rankshow on the right of the ax
"""
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.05)
plt.colorbar(img, cax=cax)
y_tick_values = cax.get_yticks()
boundary_means = [np.mean((y_tick_values[... | f21f59ac69c79cf9449d28710abdeeb730004077 | 3,651,095 |
from typing import Optional
from pathlib import Path
import importlib
def destination(stub: str) -> Optional[Path]:
"""Determine stub path
Only handle micropython stubs, ignoring
any cPython stdlib equivalents.
"""
prefix, _, suffix = stub.partition(".")
if importlib.util.find_spec(prefix): ... | 8b2552513dbeaa9dc09cb85703b736e17c4788b5 | 3,651,096 |
from os.path import join, isfile
from wpylib.sugar import is_iterable
from wpylib.file.file_utils import list_dir_entries
from pyqmc.results.gafqmc_info import is_gafqmc_info
def is_gafqmc_result_dir(D, files=None, dirs=None,
file_pattern=None, parse_file=True):
"""Tests whether the directo... | 938584931f4b1064dd2101e6230a134b9ce90a0b | 3,651,097 |
def train_IPCA(X,n_dims,batch_size,model='ipca'):
"""
name: train_IPCA
Linear dimensionality reduction using Singular Value Decomposition of
centered data, keeping only the most significant singular vectors to
project the data to a lower dimensional space.
returns: the transformer model
"""... | 282c885a562b5b3dbe356050ef5f270f49d7014d | 3,651,098 |
def _str_cell(cell: Cell) -> str:
"""Строковое представление клетки.
Данной строкой клетка будет выводится на экран.
"""
if cell.is_open:
if cell.is_empty:
return " "
elif cell.value:
return f" {cell.value} "
elif cell.is_flagged:
return "[F]"
e... | 2e4428196601a726b488e3ec4d966072033c5bfe | 3,651,099 |
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