content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
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 |
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 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 |
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 |
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 |
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 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 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 |
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 |
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 |
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 |
def get_application_directory():
"""Get the application directory.
Returns:
str: The application directory.
.. versionadded:: 1.7
"""
_check()
return _ec.get_application_directory() | d87ecdf9542bd92165ebb656d7f1d18db989c52e | 67,800 |
def insert_modification_record(method: str, resource_url: str,
session: scoped_session) -> int:
"""
Insert a modification record into the database.
:param method: HTTP method type of related operation.
:param resource_url: URL of resource modified.
:param session: sqla... | 61430d3b40d2fdaaacdf6a734c19659e73584be2 | 67,801 |
def _construct_GPL_url(accession):
"""Example URL:
ftp://ftp.ncbi.nlm.nih.gov/geo/platforms/GPLnnn/GPL570/annot/GPL570.annot.gz
"""
number_digits = len(accession) - 3 # 'GPL' is of length 3.
if number_digits < 4:
folder = accession[:3] + 'nnn' # e.g. GPLnnn.
elif 3 < number_digits < 5:
folder = accession[... | 36527d413cc005abe5055eab46e4d7fe93f4aa8e | 67,802 |
import struct
def load_mbrec(package):
"""
Load master boot record and compute magic checksum
"""
data = package.read_and_pad(package['mbrec']['filename'], 512)
checksum = file_checksum(data[2:-2], stride=2, magic=0x1234)
checksum &= 0xffff
struct.pack_into('<H', data, 0, checksum)
return data | d2f839f8ed1d4a5fd1805aba875fb479b6a03a0a | 67,803 |
def get_get_upload_details_retry_predicate(resp):
"""Triggers retry if upload details came back without last status."""
return not resp.last_status | ecadf182751e55c2c3cbd85f2a7343adc34821e5 | 67,804 |
def same_day_hour_moving_average(
datetime_col,
value_col,
window_size,
start_week,
average_count,
forecast_creation_time,
output_col_prefix="moving_average_lag_",
):
"""
Creates moving average features by averaging values of the same day of
week and same hour of day of previous ... | b50f2c5bdba602040f9695a359e5256bac66c1cf | 67,805 |
def get_setuptools_package_version(setuptools_version: str) -> str:
"""
Generate the right setuptools command for pip command
:param setuptools_version: Setuptools version obtained from
:return: A string formatted for pip install command (e.g setuptools==58.0.0)
"""
setuptools_version = setupto... | 99554292253752545d1bbf82edfef92a925b1746 | 67,806 |
import struct
def replace_pyzzer_entry_point_shebang(all_data, placeholder, new_prefix):
"""Code adapted from pyzzer. This is meant to deal with entry point exe's created by distlib,
which consist of a launcher, then a shebang, then a zip archive of the entry point code to run.
We need to change the sheb... | 5f9a4ac7b3c09e78cad6706570b9f45a022f0988 | 67,807 |
def _m_verify_mg(state, method, multigoal, history):
"""
_m_verify_g is a method that GTPyhop uses to check whether a multigoal
method has achieved the multigoal for which it was used.
"""
goal_dict = _goals_not_achieved(state,multigoal)
if goal_dict:
raise Exception(f"depth {len(history... | dbf96a0896f444c44c070559137928700e6a17ba | 67,808 |
def create_filters(fields=None):
"""
Decorator for extracting filter parameters from the request arguments and
optionally verifying their validity according to the provided fields.
:param fields: a set of valid filter fields.
:return: a Decorator for creating and validating the accepted fields.
... | cb7d2e7b17d28de5a1010b5f4217ea7998bf1466 | 67,809 |
def unwrap2D(wraped_phase,type="boundary",noise = True):
"""
2D unwarp function. There are several type to
use in several different situation.
Type:
-----------------------------------------------
Simple: The very simple algorithm to unwrap 2D warpped phase
just scan the whole matrix to unwrap phase. Very noi... | 05e06287781234a3cdea692b7566de5974b553d2 | 67,810 |
import glob
import json
def getRecords(path):
"""
Method is used to get data for all CSV files in the path.
Args:
path (string) : The path for the CSV files.
Returns:
list: A list of dictionaries with file data.
"""
sales_data_files = [ file_name for file_name in glob.glob(f"... | b3338dbe3ed96c698b4aad8bfba94a797755f87a | 67,811 |
def composite_conv_layer(inputs,
num_filters=16,
kernel_size=3,
strides=1,
activation='relu',
batch_normalization=True,
conv_first=True,
regularization_factor=1e-4,
layer_name=''):
"""
... | daa43ff2dfa898339441c133017ccf5aad303b2f | 67,813 |
def _generate_trace(distance, start_time):
"""
生成轨迹
:param distance:
:return:
"""
# 轨迹删除
trace = [[base_x, base_y, 1, 0]]
for index, x in enumerate(tracks_list):
trace.append([base_x + x, base_y + y_list[index], 3, timestamp_list[index] - start_time])
return trace[:-1] | d34a9e464327d0d3a2c445be3213c5b2627940c9 | 67,814 |
import torch
def log1pMSELoss(log_predicted_counts, true_counts):
"""A MSE loss on the log(x+1) of the inputs.
This loss will accept tensors of predicted counts and a vector of true
counts and return the MSE on the log of the labels. The squared error
is calculated for each position in the tensor and then averag... | ba7d244885303fa6755c4c25f1f991afae6d10ed | 67,815 |
def prepare_res_align(gc):
"""
type (GenerateContactsPdbFile) -> dict
:param gc: object of GenerateContactsPdbFile class.
:return:dict key = residue_id; value = list atoms of triple.
[[Atom N, Atom CA, Atom C, Atom O], [Atom N,
Atom CA, Atom C, Atom O], [Atom N, Atom CA, Atom C,
Atom O]]
... | 2bd069a6b4f287c4127b85d3127ee34e6d4d69a7 | 67,818 |
import requests
import http
import json
def get_upstream_constitution():
"""
Retrieves a copy of the constitution from the master branch of the upstream
repository. Returns a string in binary format.
"""
response = requests.get(UPSTREAM_API_PATH)
if response.status_code == http.client.OK:
result_dict ... | 3bc470bf74e57f782ec8a1a73ff9727a282fb585 | 67,819 |
import logging
def check_connection(ssh_conn):
"""
This will check if the connection is still available.
Return (bool) : True if it's still alive, False otherwise.
"""
try:
ssh_conn.exec_command("ls", timeout=5)
return True
except Exception as e:
logging.error(
... | f443d6788eb4a79db7011f0ca9dc4ae15cdf6145 | 67,820 |
import re
def parse_show_ip_bgp_route_map(raw_result):
"""
Parse the 'show ip bgp route-map' command raw output.
:param str raw_result: vtysh raw result string.
:rtype: dict
:return: The parsed result of the show ip bgp route-map command in a \
dictionary of the form:
::
{
... | 48aecdc76da27fbbc991c30405d1efef82bcbfc3 | 67,821 |
from tqdm import tqdm
from scipy.misc import comb
from itertools import combinations
from sklearn.metrics.pairwise import pairwise_distances
import warnings
def compute_distance_matrix(input_df, metric_func, fast=True, is_ones=False) -> pd.DataFrame:
"""
Compute a matrix that is symmetric down the diagonal. T... | 55eb503ba18fa9a21b46fe7c0ca3a16f94d09f4a | 67,822 |
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