content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
from datetime import datetime
from typing import Optional
from re import L
def day_label(dt: datetime, *, now: Optional[datetime] = None) -> str:
"""Returns nice date label (today, Monday, 11.12.2013)."""
if now is None:
now = datetime.now
if now.date() == dt.date():
return L(32327, 'Today... | 900b7c2e787beea3877c4f5a5384d4776ce500e5 | 67,700 |
def combine_codon_labels(c1, c2):
"""
Combines codon labels, assuming bases mixed randomly
Ex: AAA + CCC + GGG + TTT -> NNN = (AAA, AAC, ....)
Ex: ABC + CCC --> MBC
"""
letters = []
for b1, b2 in zip(c1, c2):
b1 = b1.upper()
b2 = b2.upper()
_ = DEGENERATE_NUCLEOTIDE_C... | 6b9731e0fda82f6c46fe4edb9a00b1a6e6ff1bf0 | 67,701 |
import time
import json
def result_running_callback(request, context):
# pylint: disable=unused-argument
"""
Callback function returning 'running' JSON.
"""
job_result_running = {
'status': 'running',
}
time.sleep(1)
return json.dumps(job_result_running) | cb38b44b86cdcc96706dbf40a764d8d2059de449 | 67,702 |
def polylinear_gradient(colors, n):
"""Returns a list of colors forming linear gradients between
all sequential pairs of colors. `n` specifies the total
number of desired output colors.
Code from http://bsou.io/posts/color-gradients-with-python
"""
# The number of colors per individual linear g... | 305949f20f96899c003c61d77d58668332b57d23 | 67,703 |
import os
import aiohttp
import json
from dateutil import tz
from datetime import datetime
def station(bot, mask, target, args):
"""
Show departures for station: 151213 (Leipziger Platz, Erfurt). The service
URL is consumed by Erfurt Mobil (Android/iOS).
A list of all known stations in the VMT area c... | 246cafe19ff9fef7d902192c75b26ea801bf6dba | 67,704 |
def applyXformToBounds(curXform, curBounds):
"""
Utility function to calculate the effect of an Xform (list of 16 values) to a bounds (list of 6 values)
"""
newBounds = None
# loop through the 8 corners of the bounding box
for ix, iy, iz in ( (0,2,4), (1,2,4), (0,3,4), (1,3,4), (0,2,5), (1,2,5),... | 228520db56b75a2e831d7443e20bce461a121dcc | 67,705 |
def _convert_to_binary_classification_predictions(predictions):
"""Converts a `Tensor` into a set of binary classification predictions.
This function checks that the given `Tensor` is floating-point, and that it is
trivially convertible to rank-1, i.e. has only one "nontrivial" dimension
(e.g. the shapes [1000... | bd72f62ce793f398306161868c467fb8ae953fb5 | 67,706 |
import pandas as pd
import os
def pottery(path):
"""Chemical Composition of Pottery
The data give the chemical composition of ancient pottery found at four
sites in Great Britain. They appear in Hand, et al. (1994), and are used
to illustrate MANOVA in the SAS Manual. (Suggested by Michael Friendly.)
A da... | 99d8c909bf55b3342d1984f2ed4246355b24bdcd | 67,707 |
from typing import Union
def value_counts_v2(s: Union[pd.Series, pd.DataFrame]) -> pd.DataFrame:
"""
Returns that normalised and unnormalised columns in value_counts()
Useful when you want to know absoluoute number any percentage
"""
if isinstance(s, pd.Series):
s = s.to_frame()
df =... | 3bb053499c42b0b70c6b11b52dadcc2725a36204 | 67,708 |
from datetime import datetime
def months2days(nmon=288, baseyear=1992, basemon=1):
"""
This routine converts the mid-month time to days from January 1st of a particular year.
Parameters
----------
nmon : dtype=integer
number of months
baseyear : dtype=integer
year of time of... | d456eaec22c5d58a71a62e46631b7024cee3384a | 67,709 |
import os
import zipfile
import xml.etree.ElementTree as ET
def get_files_list(folderlist):
"""Gets a list of files from the arg folder and check for errors.
Args:
folderlist: the list of folder where the Lattes CV files are found.
The Lattes CV files are downloaded as .zip files containin... | d8191746b2545111617b086f5f06a1fd2d4d2572 | 67,710 |
def run_defense_method(graph, method, k=3, seed=None):
"""
Runs a specified defense on an undirected graph, returning a list of nodes to defend.
:param graph: an undirected NetworkX graph
:param method: a string representing one of the attack methods
:param k: number of nodes or edges to attack
... | 186852827d5a8392986ccff3409d02bdc09e5311 | 67,711 |
def delta_S_2(psi_time, points, X, Y, ret_max=True):
"""
Short summary.
Parameters
----------
psi_time : numpy.ndarray
Description of parameter `psi_time`.
points : list of two tuples
Description of parameter `points`.
X : numpy.ndarray
Description of parameter `X`.
... | aed396051397436c950c90aa08696101f9c8d2ba | 67,712 |
def fake_biblist(nb_codes):
"""
Generate a list of fake bibcodes
:param nb_codes: number of bibcodes to generate
:return: list of bibcodes
"""
bibcodes = []
for i in range(nb_codes):
bibcodes.append(fake_bibcode())
return bibcodes | 586ff939c50d07491dd0cc7466ff77cfaba1b2a6 | 67,713 |
def scalar_summary(tags, values, collections=None, name=None):
# pylint: disable=line-too-long
"""Outputs a `Summary` protocol buffer with scalar values.
This ops is deprecated. Please switch to tf.summary.scalar.
For an explanation of why this op was deprecated, and information on how to
migrate, look
['h... | cb169a9af97074d30ce096ed087c5398945b5421 | 67,714 |
def compute_convergence_data(f, u, t_final, dts, scheme, num_steps,
error_idx=None, fixed_coefficients_twice=False,
**kwargs):
"""
Compute the numerical errors obtained by the LMM `scheme` which
uses `num_steps` previous step/derivative values for th... | cc904eb9ecd33266816b813b43ebd952cc40e9cb | 67,715 |
def closeMap():
"""
类型:z_关闭地图
说明:
close map
参数:
test: 模版参数
desc: 描述方法操作功能，更具体的展示在测试报告
返回: False
True
"""
r_v = AT.RunCommand(command="adb shell am force-stop com.baidu.naviauto",timeout="100")
AT.sleep(sleepTime="200")
... | 1650ab56bbfc89bf7327b6500e3bdaf0ac64e3a4 | 67,716 |
def filter_counts_by_interactions(counts: pd.DataFrame, interactions: pd.DataFrame,
suffixes: tuple = ('_1', '_2'), counts_data: str = 'ensembl') -> pd.DataFrame:
"""
Removes counts if is not defined in interactions components
"""
genes = interactions['{}{}'.format(coun... | a57c8f482001186c6d269ddfcd80261644510158 | 67,717 |
def load_sentiment_data():
"""
Load the data set
:return:
data_set
"""
data_set = list()
download_data_if_not_yet()
words_ids = dict(get_word_dict())
for sample_file in sort_files():
words_list = list()
category = 0 if 'neg' in sample_file else 1
for word ... | 43b7b829d6f87cccb45f3f2df24b075d27761b76 | 67,718 |
def ready_branched_dummy_context(branched_dummy_context, dummy_dataframe):
"""Get dummy ready by placing a dummy dataframe at every input edge node."""
print("ready branched")
for dataset in branched_dummy_context.pipeline.inputs():
d = getattr(branched_dummy_context.catalog.datasets, dataset)
... | 3cc4eef20f282f9128affc0638a4c8ad0ce14730 | 67,719 |
def get_ellipse_focus_add_by_standard_equation(a11, a12, a22, a1, a2, a0):
"""
a11 = 1/a^2
a22 = 1/b^2
a12 = a1 = a2 = 0
a0 = -1
"""
if a11 < a22:
a11_1 = 1 / a11
c = sqrt(a11_1 - 1 / a22)
return [[c, 0], [-c, 0], 2 * sqrt(a11_1)]
a22_1 = 1 / a22
c = sqrt(a22_... | 85bce9536519787570bbc65c2854fd098954fadd | 67,720 |
import requests
from bs4 import BeautifulSoup
def pullWksaCountryPages():
"""Scrapes the WKSA schools website for the list of countries WKSA has locations in."""
KSW_SCHOOLS_PAGE = 'http://www.kuksoolwon.com/site/schools'
r = requests.get(KSW_SCHOOLS_PAGE)
schools_page = BeautifulSoup(r.text, 'lxml')
... | ee242319a7ad990827e61a99be6093959ebe2097 | 67,721 |
import struct
def get_system_bits():
"""Return 32 for 32-bit systems and 64 for 64-bit"""
return struct.calcsize("P") * 8 | 252d5acab4dec512df238031f89c072129485959 | 67,722 |
def validateSubSequence(array, sequence):
"""
### Description
validateSubSequence -> validates if a sequence of elements is a subsequence of a list.
### Parameters
- array: the list where it will validate the subsequence.
- sequence: the potential subsequence of elements
... | ae780814e6f0ce59b21acb46cd272443bd2a5f92 | 67,723 |
import asdf
def read_table(filename, data_key=None, find_table=None, **kwargs):
"""
Read a `~astropy.table.Table` object from an ASDF file
This requires `asdf <https://pypi.org/project/asdf/>`_ to be installed.
By default, this function will look for a Table object with the key of
``data`` in the... | a9457b17653213412389f453a23237e48c204f75 | 67,724 |
def _cleanse_dict(original):
"""Strip all admin_password, new_pass, rescue_pass keys from a dict."""
return dict((k, v) for k, v in original.items() if "_pass" not in k) | 2691cc31f127548f5dc0693a0f117dad0b6139dd | 67,725 |
def FPs(names, fpsort, ctx=None):
"""Return an array of floating-point constants.
>>> x, y, z = FPs('x y z', FPSort(8, 24))
>>> x.sort()
FPSort(8, 24)
>>> x.sbits()
24
>>> x.ebits()
8
>>> fpMul(RNE(), fpAdd(RNE(), x, y), z)
fpMul(RNE(), fpAdd(RNE(), x, y), z)
"""
ctx = _... | 660674f5ef4a07dfa057ae30a3d618ca01bae49e | 67,726 |
def calc_mode(sample_list):
"""
Calculate mode from continuous samples.
Parameters
----------
sample_list : list or numpy array
Returns
-------
mode : float
"""
hist_freqs = np.histogram(sample_list, bins="auto")[0]
hist_edges = np.histogram(sample_list, bins="auto")[1]
... | c7c6d6274aa9680912e0793288a4c3c9d67ae6ce | 67,727 |
import collections
def pretty_recursive(value, htchar="\t", lfchar="\n", indent=0):
"""
Recursive pretty printing of dict, list and tuples - full creadit to:
http://stackoverflow.com/questions/3229419/pretty-printing-nested-dictionaries-in-python
"""
nlch = lfchar + htchar * (indent + 1)
if... | 2538337ed0711bcf60040dc0f4112ea01184fabb | 67,728 |
from datetime import datetime
def process_weighted_time_avg(procstatus, dscfg, radar_list=None):
"""
computes the temporal mean of a field weighted by the reflectivity
Parameters
----------
procstatus : int
Processing status: 0 initializing, 1 processing volume,
2 post-processing
... | ec2edc41fedcde3755996c71821a379ec23c5468 | 67,729 |
import os
def create_app(
name="doku", config=None, minimal=False, test=False, additional_config=None
) -> Flask:
"""
App Factory - create_app
This is the doku Flask app factory
:param name: Name of the application. Defaults to ``doku``
:param config: Pythonic path (``path.to.module``) for t... | 0372de865c0d1275f87f7ef6482f76e22e23a8d9 | 67,730 |
import urllib
def _get_authorize_url(client_id, response_type, state=None):
""" 認可のためのURLを取得
:param client_id: ClientID
:param response_type: code or token
:param state: CSRFトークン
:return: 認可するためのURL
:rtype: str
"""
payload = {'client_id': client_id,
'response_type': res... | 99086aec415174b48b850acdfd16b79f91086955 | 67,731 |
def format_knot_hash(value, format_spec):
"""
>>> format_knot_hash([64, 7, 255], '02x')
'4007ff'
>>> format_knot_hash(bytearray.fromhex('A0C20170'), '08b')
'10100000110000100000000101110000'
"""
return "".join(format(h, format_spec) for h in value) | 2a12f299807bcc6606a00092faecf1b34ec32170 | 67,732 |
def mazziotti_opdm_purification(opdm, trace_target):
"""
Mazziotti purification of the 1-RDM in Phys. Rev. E. 65 026704
i) set all negative eigenvalues to zero
ii) correct the trace by decreasing the HOMO
iii) set all eigenvalues >1 to 1
iv) correct the trace by increasing the LUMO
:param ... | a170c58fbbe0bfa459a4cb0c6278662092429b85 | 67,733 |
from typing import Tuple
import torch
def get_mean_std(loader: DataLoader) -> Tuple:
"""Calculates mean and standard deviation of a dataset taken from the
given DataLoader."""
cnt = 0
ds_mean = torch.empty(3)
ds_std = torch.empty(3)
for data in loader:
b, c, h, w = data.shape
n... | b6123a6fbf4d86a3139715e92e7251ef2ae43ede | 67,734 |
def profiler(fname,scans=None,
data_type=None,
datetime_format=None,
num_info_lines=5,
check_na=['SPD','DIR'],na_values=999999,
height_name='HT',
read_scan_properties=False,
verbose=False):
"""Wind Profiler radar with RASS
... | d291cb5839bbb9006aff048c87247a3aa0b7665e | 67,735 |
def angle(v1, v2=None):
"""Compute angle between 2D vectors v1 and v2.
If v2 is not specified it will default
to e1 (the unit vector in the x-direction)
The angle is measured as a number in [0, 2pi] from v2 to v1.
"""
# Prepare two numeric vectors
if v2 is None:
v2 = [1.0, 0.0] # ... | 84e8105323809d55eb40af9cff102ebbe45a57bc | 67,736 |
import os
def delete_orphaned_document_files():
"""
Deletes orphaned files of deleted documents.
"""
deleted = []
_, files = storage.listdir(os.path.join("documents", "document"))
for filename in files:
if Document.objects.filter(doc_file__contains=filename).count() == 0:
... | a4ecf0e176d223149138cd8d0cbe47919a6a2681 | 67,737 |
def read_gtf(f, full=True, as_df=False, nrows=None, duplicate_attr=False):
"""Read files in the Gene Transfer Format.
Parameters
----------
f : str
Path to GTF file.
as_df : bool, default False
Whether to return as pandas DataFrame instead of PyRanges.
nrows : int, default ... | c596e402b0f387aae60265f8beca3f0ce136c138 | 67,738 |
from typing import Tuple
def predict(model, data, tokenizer, label_map, batch_size=1):
"""
Predicts the data labels.
Args:
model (obj:`paddle.nn.Layer`): A model to classify texts.
data (obj:`List(Example)`): The processed data whose each element is a Example (numedtuple) object.
... | 5c2475b79ec104331d4654171d76ac8f9fd8b6cf | 67,739 |
from typing import Optional
import logging
async def create_model(item: Optional[param] = None):
"""
the user submit a json object that contain all the details needed to create and train a model
:param item:
:return:
"""
if item is None:
return {"name cannot be empty"}
else:
... | e985b7747d562b3fe16f98762f68e545588283f8 | 67,740 |
def unmarshal_object(swagger_spec, object_spec, object_value):
"""Unmarshal a jsonschema type of 'object' into a python dict.
:type swagger_spec: :class:`bravado_core.spec.Spec`
:type object_spec: dict
:type object_value: dict
:rtype: dict
:raises: SwaggerMappingError
"""
deref = swagge... | a16c70649a70ed7b89a357503f06e312ae0f46d8 | 67,741 |
def upvote_question(current_user, question_id):
"""Endpoint to upvote a question"""
error = ""
status = 200
response = {}
question = db.get_single_question(question_id)
if not question:
error = "That question does not exist!"
status = 404
elif db.upvote_question(current_use... | c294e2e81c7d3623bf984c35179514489a27bc42 | 67,742 |
import logging
def create_logger(args):
"""
将日志输出到日志文件和控制台
"""
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
formatter = logging.Formatter(
'%(asctime)s - %(levelname)s - %(message)s')
# 创建一个handler，用于写入日志文件
file_handler = logging.FileHandler(
fil... | fec4665020ee2d5e8d1103ba4d2ebb7bf26679fa | 67,743 |
from typing import Union
import torch
def update_lr(
scheduler: Union[lr_scheduler.StepLR, lr_scheduler.LambdaLR, lr_scheduler.ReduceLROnPlateau, lr_scheduler.CosineAnnealingLR, lr_scheduler.CyclicLR],
optimizer: optimizer.Optimizer,
metric: torch.Tensor = None
) -> float:
"""Update learning rate
... | b11c6a5a49758554a7e1062d7f65da1543896678 | 67,744 |
import os
def modelIterator(initial=0, final=1000,
data_dir=cn.BIOMODELS_DIR,
zip_filename=cn.BIOMODELS_ZIP_FILENAME):
"""
Iterates across all models in a data directory.
:param int initial: initial file to process
:param int final: final file to process
:param str data_dir: absolute path of the
... | b5e8e04089fcd9c1f651c3667bbf73a67a13a6ca | 67,745 |
def load_clean_captions(filename, dataset):
"""为图像标题首尾分别加上'startseq ' 和 ' endseq', 作为自动标题生成的起始和终止
Args:
filename: 文本文件,每一行由图像名,和图像标题构成, 图像的标题已经进行了清洗
dataset: 图像名list
Returns:
dict, key为图像名, value为添加了＇startseq'和＇endseq'的标题list
"""
# load document
doc = load_doc(filename... | 5477c5e0ce972d42a1bb79d0c4b44b58b66db832 | 67,746 |
def get_python_packages_info(path, python_version="3"):
"""Get details about all python packages in an image filesystem.
:param path: path were the docker image filesystem is expanded.
:type path: string
:param python_version: version of python to use. can be "2" or "3". default to "3".
:type p... | 515ff6c517e11d08f11e18b59ddfd921695e144e | 67,747 |
def compute_intersection_length(A, B):
"""Compute the intersection length of two tuples.
Args:
A: a (speaker, start, end) tuple of type (string, float, float)
B: a (speaker, start, end) tuple of type (string, float, float)
Returns:
a float number of the intersection between `A` and... | 6cf038e1febbc1a7aa19eb104f5628ff2f935174 | 67,748 |
import random
def Move(src, label, pad_color, max_move_ratio=0.2):
"""
item = {
"img_name":save_name,
"keypoints":save_keypoints, relative position
"center":save_center,
"other_centers":other_centers,
"other_keypoints":other_keypoints,
... | 5517b76215ed836d02f496e969fe072c8831e125 | 67,749 |
import subprocess
def cygwinSafePath(path):
"""If the system is Cygwin, converts the given Cygwin path to a Windows path;
this does nothing if not Cygwin"""
if isCygwin():
cmdLine = ['cygpath', '-w', path]
printCmdLine(cmdLine)
return subprocess.check_output(cmdLine).strip()
else:
return path | 5aab8d9591c5e46963244b5d57711501de95d760 | 67,750 |
import copy
def pcc_slower1(circ, supp, verbose=False):
"""
Args:
circ(list(list(tuple))): Circuit
supp(list): List of integers
Returns:
list(list(tuple)): Past causal cone of supp
"""
circ_rev= circ[::-1]
circ_reduced = []
supp_temp = copy.deepcopy(supp)
for u... | 4f02c0db839456dc91b508b89b4d343d7c02beb0 | 67,751 |
import os
def read_dem(bounds, res):
"""
Function to read in a DEM from SRTM amd interplolate it onto a dolphyn mesh. This function uses the python package
'elevation' (http://elevation.bopen.eu/en/stable/) and the gdal libraries.
I will assume you want the 30m resolution SRTM model.
:param boun... | 236db47674d96a5e9729f6c7f650276624e37882 | 67,752 |
import socket
def bindsocket(port, host=''):
"""
Creates a socket assigned to the IP address (host, port).
Parameters
----------
port : int
port assigned to the socket.
host : str, optional
host assigned to the socket. The default is ''.
Returns
-------
tcpsock : ... | 48be29952a3d35af0ec0886e3ca332f9280384f1 | 67,753 |
def _absolute_clustering(data,
group_pop_var,
total_pop_var,
alpha=0.6,
beta=0.5,
metric='euclidean'):
"""
Calculation of Absolute Clustering index
Parameters
----------
... | 4e80f6397f2b2f2c44039c6d517b0675c9ced3ed | 67,754 |
def toText(p, alreadyLabeled=None):
"""Render a pattern as human-readable text.
:type p: titus.P
:param p: the pattern
:type alreadyLabeled: set of strings or ``None``
:param alreadyLabeled: used to avoid recursion in recursive types
:rtype: string
:return: text representation of the patter... | 602cd3caee485f235f4d6b1f4d774c81b34a0249 | 67,755 |
import re
def _yesno(message, default='no', suffix=' '):
"""Modified from github.com/tylerdave/prompter to reduce depenencies.
All credit to the creator."""
if default == 'yes':
yesno_prompt = '[Y/n]'
elif default == 'no':
yesno_prompt = '[y/N]'
else:
raise ValueError("defa... | f66bdf51fd79deb9ccba52f426a691361c9c6993 | 67,756 |
def get_intersection(y_true, y_pred):
""" aka TP, assuming binary images that were removed the background """
return K.sum(K.sum(K.squeeze(y_true * y_pred, axis=3), axis=2), axis=1) | d965c17d5f321fd4913997170d362d05863192ff | 67,757 |
def MAD_outliers(data: pd.Series) -> pd.Series:
"""Detect outliers use MAD based method and return a binary index
Detect outliers we can use robust method based on median absolute deviation ( Page 19, Data Cleaning, 2019 ):
>> ... the median and the median absolute deviation (MAD) that can replace mean an... | bf22e1d3884811f7f974df53b0ffffd053728e65 | 67,758 |
def create_java_app_env(deployment_config):
""" Returns the environment variables Java application servers uses.
Args:
deployment_config: A DeploymentConfig object.
Returns:
A dictionary containing the environment variables
"""
env_vars = {'APPSCALE_HOME': APPSCALE_HOME}
gcs_config = {'scheme': 'h... | fc4ab2bd4c714cfdf17a9144d82afd09eda9b4ae | 67,759 |
from datetime import datetime
def date():
"""
Return formatted date
Parameters
----------
None
Returns
--------
None
"""
today = datetime.today()
month = today.strftime("%B")
day = today.day
year = today.year
date = f"{month} {day}, {year}"
return date | c28eb0b89d524d9856cb18a53004a34278011e90 | 67,760 |
def _BroadcastMul(vec, mat):
"""Multiply after broadcasting vec to match dimensions of mat.
Args:
vec: A 1-D tensor of dimension [D0]
mat: A 2-D tensor of dimension [D0, D1]
Returns:
A tensor of dimension [D0, D1], the result of vec * mat
"""
# Reshape vec to [D0, 1]
vec = array_ops.expand_dim... | fedf209bdfc23838bc70a38aa1dce49816a1bad6 | 67,761 |
def broadcast_global_variables(root_rank):
"""Used to broadcast global variables"""
variables = backend._get_variables(backend.get_graph())
candidate_vars = []
for v in variables:
if getattr(v, "_keras_initialized", False):
candidate_vars.append(v)
op_list = []
if candidate_v... | 7ea68f3f973325c33440de3d6c3507d5a88a805b | 67,762 |
import json
import logging
def output(post,
quiet=False,
use_test_node=False,
diagnostic=False,
urls_only=False) -> int:
"""Prints out the post and extracts the custom_json"""
data = json.loads(post.get("json"))
if diagnostic:
logging.info(
... | 31f3e977d47d44ed6b9ec45d171cbe9cfecb7ed9 | 67,763 |
def rainbow_nums(freq, i):
"""create rgb values for part of a rainbow"""
rgb = []
for channel in range(3):
rgb.append(max(0, min(5, int(6 * (sin(2 * pi * (freq * i + 0.333 * channel)) / 2 + 0.5)))))
return rgb | d163296b1dbf53218a730082379159de94f8853b | 67,764 |
def local_ordering(circuit, weighted=True, verbose=False):
"""Permute qubit labels so that two-qubit gates are
as local as possible.
Parameters:
circuit (qiskit.QuantumCircuit): An input quantum circuit.
weighted (bool): Using weighting method.
verbose (bool): Print values and plot ... | bf6d0404edc11d2321b9ede1822116972a2d46af | 67,765 |
def _job_substring_match(search_string, job_name):
"""Return a bool on whether a string exists in a provided job name or
use from environment if available (case insensitive)."""
job_name = job_name or get_value('JOB_NAME')
if not job_name:
return False
return search_string in job_name.lower() | 8d056fcff3408736d5d13401cfb7f77380ca3594 | 67,766 |
def raw(func, **func_args):
"""Decorator for eager functions checking input array
and stripping away the weld_type.
Stripping the weld_type is required to keep the same code in Series.apply and because
Numpy functions don't (all) have kwargs. Passing weld_type to NumPy functions is unexpected
and r... | 92b10d3ea54f3c0f8c0e4204c37371fca66be09e | 67,767 |
def nanmean(x):
"""Average value of the array a, ignoring 'Not a Number' elements"""
if not hasattr(x,"__len__"): return x
x = asanyarray(x)
valid = ~isnan(x)
return sum(x[valid])/sum(valid) | 2272021953e665278899ba00b8967e4dc30cc3dd | 67,768 |
import os
def get_filepath(date, data_source='data'):
"""Renvoie le filepath d'un fichier donné
Args:
date (string): string contenant la date sous
le format {jour}{Mois abbrégé}
-> exemple : 7Nov
Returns:
string
"""
return os.path.join(data_source, f'data... | 27456a7a49c56d11d76ce63c5e043fcc94cdac27 | 67,769 |
from datetime import datetime
import six
def obj2str(i, force_detailed=False):
"""Returns a human-readable ascii string representation of a model
instance, even in some edge cases.
"""
if not isinstance(i, models.Model):
if isinstance(i, (int, IncompleteDate)):
return str(i) # Au... | 72a16f25e27528f8bab638c5317570a877d52569 | 67,770 |
import urllib
def facebook_authorize(request):
"""
Obtain authorization for Graph API access.
If code exists in request.GET, then we should be good to move on to
Step 3 and exchange the code for an access token. Otherwise, send the
user to Facebook to grant access to our app.
"""
site = S... | 27aaa3009c20a970fe70763d98639cfa6f894947 | 67,771 |
def is_video(video):
"""
Checks that `file` is a video file.
`video` is cv.VideoCapture object.
"""
return video.get(cv.CAP_PROP_FRAME_HEIGHT) != 0 | 366a52d6bc40286efa2483dd36ac9098ef0197a1 | 67,772 |
from torchvision.models.resnet import resnet152
def resnet152(pretrained=False, fixed_feature=True):
""" "ResNet-152 model from torchvision's resnet model.
:param pretrained: if true, return a model pretrained on ImageNet
:param fixed_feature: if true and pretrained is true, model features are fixed whil... | e172a833e3d38b9692a3a55bd4961a5444c54187 | 67,773 |
def draw_text(img, y, x, text, color=(0, 255, 0), size=25):
"""
Draw text on an image.
This uses by default DejaVuSans as its font, which is included in this library.
dtype support::
* ``uint8``: yes; fully tested
* ``uint16``: no
* ``uint32``: no
* ``uint64``: no
... | d27b5146fc70621b65b3f214599dc7b86c7d1f29 | 67,774 |
import six
def _UnitsByMagnitude(units, type_abbr):
"""Returns a list of the units in scales sorted by magnitude."""
scale_items = sorted(six.iteritems(units),
key=lambda value: (value[1], value[0]))
return [key + type_abbr for key, _ in scale_items if key] | 972a17b51901a133444ddb77989c4ebc372fc35e | 67,775 |
def index():
"""View root page function that returns index page and the various news sources"""
title = 'Home- Welcome to the best News source page'
# Getting the news sources
news_sources = get_sources('sources')
return render_template('index.html', title=title, news_sources=news_sources) | ee31a6f0a70cff1d057389a9c402e5d6498e23d0 | 67,776 |
def download_link(youtube_url: str, directory_path: str, audio_format: str = "wav") -> str:
""" Downloads a track from the given youtube_url into the given directory_path
:param youtube_url - the URL to a youtube video containing the audio file to download
:param directory_path - the path to a local direct... | bc0cdec17bc5cee9d436dba790fda937832afd1e | 67,777 |
def calc_I_MacDonald2014(TEMP):
"""
Temp. (C) to Macdonald2014 parameterised [iodide] in nmol/dm^-3 (nM)
"""
# Parameterisation is Arrhenius expression
# y= 1.46E6 * exp(-9134.0/TEMP(K)) * 1E9
# NOTE: temp. is converted from degC to DegK
return (1.46E6 * np.exp((-9134.0 / (TEMP+273.15))))*1E... | be929814a5f9b23c5789a9decbbe080dc215e0f8 | 67,778 |
def get_payload(job):
"""Construct payload for SqoopJob -> Genie 2."""
return Genie2Adapter.construct_base_payload(job) | d0af452837af02a82a2a4b5f95935b5d1106da5a | 67,779 |
def replace_toffoli_with_alt(qasm):
"""
Replace all Toffoli gates (including parallelized ones) by their alternative representation.
See src.grover.search_utilies.alternative_toffoli for more details.
Args:
qasm: The full qasm program that contains Toffoli gates to replace
Returns: The sam... | 2afda126a975c11f13e8f1fd71b73c2621dad032 | 67,780 |
def make_rpc_name(name: str) -> str:
"""
Convert python compatible name to Transmission RPC name.
"""
return name.replace("_", "-") | 057f1446f230dac93a09661e4eeb27edb09fda62 | 67,781 |
async def document_convert_to_base64(encoding, the_file):
"""this function convert a pdf file to base64 format"""
with open(the_file, 'rb') as open_file:
byte_content = open_file.read()
base64_bytes = b64encode(byte_content)
base64_string = base64_bytes.decode(encoding)
return base64_stri... | 50b697c346ba46468543cdc317d6a643a3c26fed | 67,782 |
def get_model_layers(model):
"""Returns all layers of a model."""
ret = []
def collect_layers(container):
for layer in container.layers:
assert layer not in ret
ret.append(layer)
if kchecks.is_network(layer):
collect_layers(layer)
collect_laye... | e3675dcaa3f7cb73543e6187f6cf06da68943b8c | 67,783 |
def splitList(listToSplit, num_sublists=1):
"""
Function that splits a list into a given number of sublists
Reference: https://stackoverflow.com/questions/752308/split-list-into-smaller-lists-split-in-half
"""
length = len(listToSplit)
return [ listToSplit[i*length // num_sublists: (i+1)*length ... | 1a22fcb061a6fce6a2971e277ecc94251e0a2011 | 67,784 |
def create_reader(reader_name, input_shape, is_multi_task, task_map_id, *gens):
"""
build reader for multi_task_learning
"""
placeholder = Placeholder(input_shape)
pyreader, model_inputs = placeholder.build(capacity=16, reader_name=reader_name)
joint_generator = create_joint_generator(input_shap... | 04fb537882957e5d40a9460709acddd82751f54f | 67,785 |
import subprocess
from distutils import spawn
import tempfile
import time
from pdf2image import convert_from_path
from PIL import Image
import logging as logger
def to_text(path, language='fra'):
"""Wraps Tesseract 4 OCR with custom language model.
Parameters
----------
path : str
path of ele... | 287bde030530c6f2bbca82b3d6320594c052b926 | 67,786 |
from dvc.fs.memory import MemoryFileSystem
def _get_staging(odb: "ObjectDB") -> "ReferenceObjectDB":
"""Return an ODB that can be used for staging objects.
Staging will be a reference ODB stored in the the global memfs.
"""
fs = MemoryFileSystem()
fs_path = _make_staging_url(fs, odb, odb.fs_pat... | aafff52be65ede1dc011ecc2061d2cd5055a659e | 67,787 |
def _block_array_reduction_wrapper(func):
"""Wraps a reduction (eg sum, norm) to allow for joint operation on `DeviceArray` and
`BlockArray`"""
@wraps(func)
def wrapper(inp, *args, axis=None, **kwargs):
all_args = (inp,) + args + tuple(kwargs.items())
if any([isinstance(_, BlockArray) ... | 8353aff2a764c080f1709bcbc205579f238f5c6f | 67,788 |
import functools
import traceback
def check_workchain_step(func):
"""
Decorator for workchain steps that logs (and re-raises) errors occuring within that step.
"""
@functools.wraps(func)
def inner(self, *args, **kwargs):
try:
return func(self, *args, **kwargs)
except Ex... | d6e5834b233075fbb1097a84f7e3010c3f292194 | 67,789 |
from app import main, admin
def create_app(config_name):
"""
创建flask的应用对象
:param config_name: str 配置模式的模式的名字 （"develop", "product"）
:return:
"""
app = Flask(__name__)
# 根据配置模式的名字获取配置参数的类
config_class = config_map.get(config_name)
app.config.from_object(config_class)
# 使用app... | ee4c817b4c02e4dc4ae10ea5b95a81fdf94a687d | 67,790 |
import json
def kibana_api_request(url, method='GET', filename=None):
"""Kibana API request."""
data = {}
if filename:
curl_url = "curl -X%s %s -T %s" % (method, url, filename)
else:
curl_url = "curl -X%s %s" % (method, url)
print_color_text(curl_url, MAGENTA)
opener = urlli... | e44df7402f90ca9fe661d1f4597c3173e6eb083a | 67,791 |
import inspect
def worker_factory(service_cls, **injections):
""" Return an instance of ``service_cls`` with its injected dependencies
replaced with Mock objects, or as given in ``injections``.
**Usage**
The following example service proxies calls to a "math" service via
and ``rpc_proxy`` inject... | ca0082472c866b512be45553ac2f9866dd6f3c1c | 67,792 |
from typing import Optional
from typing import Dict
from typing import Any
def values_to_numpy(data: Optional[Dict[Any, Any]]) -> Optional[Dict[Any, Any]]:
"""Replaces all tensorflow-tensor values with their numpy versions.
Args:
data: Any dictionary for which values should be converted.
Returns... | b2546f78517b04711a9301feaf65d2ccc055302b | 67,793 |
def naive_r(augend, addend):
"""A recursive definition of addition.
(http://en.wikipedia.org/wiki/Addition#Natural_numbers)
"""
if addend == 0:
return augend
return inc(naive_r(augend, dec(addend))) | ea801ec069a0c4a86d9b18837bb3dc369edbff0a | 67,794 |
import scipy
def lqr(A, B, Q, R):
"""Solve the infinite-horizon, discrete-time LQR controller
x[k+1] = A x[k] + B u[k]
u[k] = -K*x[k]
cost = sum x[k].T*Q*x[k] + u[k].T*R*u[k]
# Arguments:
A, B: Linear system matrices
Q, R: State and input penalty matrices, both positiv... | d300ba4bbdb612ff4410fc1f320ad9825f9aa9d3 | 67,795 |
import scipy
def get_gray_imgs_fn(file_name, path):
""" Input an image path and name, return an image array;
if RGB images, then mode = 'RGB'."""
# return scipy.misc.imread(path + file_name).astype(np.float)
return scipy.misc.imread(path + file_name, mode='L') | d2dc0c8b8b098fc5b7cd8cfb2ebdf11f511a81d6 | 67,796 |
def file_url(repo_name, rev, path):
"""
Forges Github URL to a blob in a repo (through branch or commit rev).
:param str repo_name: Github repository name such as 'Author/Repo'
:param str rev: branch, commit or tag
:param str path: the path to the file
:return: URL
:rtype: str
"""
r... | f9d85c3ffed30c3e6edc0d61b5fbffc9100e33ce | 67,797 |
from typing import Callable
from typing import Tuple
def cross_validate(estimator: BaseEstimator, X: np.ndarray, y: np.ndarray,
scoring: Callable[[np.ndarray, np.ndarray, ...], float], cv: int = 5) -> Tuple[float, float]:
"""
Evaluate metric by cross-validation for given estimator
Para... | 3ed043290a8839fa31ff0d684a6b05f27c61863d | 67,798 |
import sys
def read_all_files(filename_dict, readin_dict , verbose=False,logfile=None, record_contributor=True):
"""
INPUT: filename_dict is dictionary of files names, sorted by file type
readin_dict is a list of corrections and column renames, etc. by filename
OUTPUT: All files merged into a Pandas Da... | cc08fb1f7806581137b78cb47a75304c0a2b0fc3 | 67,799 |
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