filename stringlengths 13 19 | text stringlengths 134 1.04M |
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the-stack_106_25663 | # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the PyMVPA package for the
# copyright and license terms.
#
### ### ### ### ###... |
the-stack_106_25668 | from typing import TYPE_CHECKING, Union
from rotkehlchen.crypto import sha3
from rotkehlchen.errors import DBUpgradeError
from rotkehlchen.typing import Location, TradeType
if TYPE_CHECKING:
from rotkehlchen.db.dbhandler import DBHandler
def v6_deserialize_location_from_db(symbol: str) -> Location:
"""We co... |
the-stack_106_25671 | from model.film import Film
from model.user import User
#from selenium_fixture import app
def test_add_film(app):
new_film = Film.unic_name()
app.ensure_login_as(User.Admin())
app.add_film(new_film)
assert app.is_film_created(new_film) |
the-stack_106_25672 | """
Python Interchangeable Virtual Instrument Library
Copyright (c) 2012-2016 Alex Forencich
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the... |
the-stack_106_25674 | # coding=utf-8
# Copyright 2020 The Trax Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... |
the-stack_106_25676 | from typing import Optional
from aws_xray_sdk import global_sdk_config
from aws_xray_sdk.core import xray_recorder
from aws_xray_sdk.core.async_recorder import AsyncSubsegmentContextManager
from aws_xray_sdk.core.models.dummy_entities import DummySegment
from aws_xray_sdk.core.models.subsegment import (
Subsegment... |
the-stack_106_25677 | from sklearn import svm, grid_search, datasets
from sklearn.externals import joblib
from sklearn.ensemble import RandomForestClassifier
# Use spark_sklearn’s grid search instead:
from spark_sklearn import GridSearchCV
iris = datasets.load_iris()
param_grid = {"max_depth": [3, None],
"max_features": [1, ... |
the-stack_106_25679 | """
OCCAM
Copyright (c) 2011-2017, SRI International
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this
list of con... |
the-stack_106_25680 | """
Copyright (c) 2022 Huawei Technologies Co.,Ltd.
openGauss is licensed under Mulan PSL v2.
You can use this software according to the terms and conditions of the Mulan PSL v2.
You may obtain a copy of Mulan PSL v2 at:
http://license.coscl.org.cn/MulanPSL2
THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, W... |
the-stack_106_25681 | """
This file demonstrates writing tests using the unittest module. These will pass
when you run "manage.py test".
Replace this with more appropriate tests for your application.
"""
import unittest
import requests
from django.contrib.auth.models import User
from django.test import TestCase
from museum_site.common i... |
the-stack_106_25684 | # a basic script to run the case in this directory
import sys,os
from mpi4py import MPI
from pygeo import *
from pyspline import *
from idwarp import *
import numpy
gcomm = MPI.COMM_WORLD
meshOptions = {
'gridFile':os.getcwd(),
'fileType':'openFoam',
'symmetryPlanes':[[[0,0,0], [0,1,0]]],
'aExp':3,
... |
the-stack_106_25686 | #!/usr/bin/env python3
import numpy as np
from scipy import spatial
from scipy.spatial.transform import Rotation as R
from scipy.spatial.transform import Slerp
class PoseDistance:
def __init__(self):
# Assumes unit sphere
self.mass_matrix = np.identity(6)
# for finding translations
... |
the-stack_106_25687 | import _plotly_utils.basevalidators
class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="cmax", parent_name="scattersmith.marker", **kwargs):
super(CmaxValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... |
the-stack_106_25688 | from typing import Any, Dict, List, NamedTuple, Tuple, cast
from ee.clickhouse.client import substitute_params, sync_execute
from ee.clickhouse.models.action import format_action_filter
from ee.clickhouse.queries.person_distinct_id_query import get_team_distinct_ids_query
from ee.clickhouse.queries.retention.retention... |
the-stack_106_25690 | _base_ = [
'../_base_/datasets/coco_detection.py', '../_base_/default_runtime.py'
]
# model settings
model = dict(
type='D2Det',
pretrained='torchvision://resnet101',
backbone=dict(
type='ResNet',
depth=101,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,... |
the-stack_106_25695 | #!/usr/bin/env python
# encoding: utf-8
"""
pymongo.py
This is the new mongo adapter for scout that skips mongoengine and uses pymongo,
it is a communicator for quering and updating the mongodatabase.
This is best practice:
uri = "mongodb://%s:%s@%s" % (
quote_plus(user), quote_plus(password), host)
cl... |
the-stack_106_25698 | # -*- coding: utf-8 -*-
from hearthstone.entities import Entity
from entity.spell_entity import SpellEntity
class LETL_450(SpellEntity):
"""
火球术5
造成$12点伤害。0造成$13点伤害。0造成$14点伤害。0造成$15点伤害。0造成$16点伤害。
"""
def __init__(self, entity: Entity):
super().__init__(entity)
self.damage... |
the-stack_106_25704 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from attacks.abstract_attack import AbstractAttack
from lib.rsalibnum import gcd
from Crypto.Util.number import long_to_bytes, bytes_to_long
import gmpy2
import itertools
# Source: https://crypto.stackexchange.com/a/60404
def bytes_to_integer(data):
output = 0
si... |
the-stack_106_25706 | #!/usr/bin/env python
""" turtle-example-suite:
tdemo_yinyang.py
Another drawing suitable as a beginner's
programming example.
The small circles are drawn by the circle
command.
"""
from turtle import *
def yin(radius, color1, color2):
width(3)
color("black")
fill(True)
circle(ra... |
the-stack_106_25707 | #!/usr/bin/env python
from scipy.stats import t, laplace, norm
import numpy as np
import matplotlib.pylab as pl
x = np.linspace(-4, 4, 100)
n = norm.pdf(x, loc=0, scale=1)
l = laplace.pdf(x, loc=0, scale=1 / (2 ** 0.5))
t = t.pdf(x, df=1, loc=0, scale=1)
pl.plot(n, 'k:',
t, 'b--',
l, 'r-')
pl.legend(... |
the-stack_106_25708 | """Fully-connected architecture."""
import torch
import torch.nn as nn
__all__ = ['MLP']
class MLP(nn.Module):
def __init__(self, input_size, output_size, nhidden=3, dhidden=16, activation=nn.ReLU, bias=True):
super(MLP, self).__init__()
self.nhidden = nhidden
if isinstance(dhidden, int)... |
the-stack_106_25712 | import polygon
from polygon import StreamClient, enums
import datetime
from datetime import datetime
import time
import threading
import config
import traceback
import requests
import redis
import json
print("starting stream...")
key = config.polygon_key
def connections():
# redis_pool = redis.C... |
the-stack_106_25713 | # Copyright (C) 2010, 2011 Sebastian Thiel (byronimo@gmail.com) and contributors
#
# This module is part of GitDB and is released under
# the New BSD License: http://www.opensource.org/licenses/bsd-license.php
from io import BytesIO
import mmap
import os
import sys
import zlib
from gitdb.fun import (
msb_size,
... |
the-stack_106_25714 | """A main program for Byterun."""
import argparse
import logging
from . import execfile
parser = argparse.ArgumentParser(
prog="byterun",
description="Run Python programs with a Python bytecode interpreter.",
)
parser.add_argument(
'-m', dest='module', action='store_true',
help="prog is a module name... |
the-stack_106_25715 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Program for filtering variants from a VCF file to *de novo* variants.
This program implements the filters and heuristics similar to the one by Wong et al. and
Besenbacher et al.
"""
import argparse
import collections
import datetime
import itertools
import logging
imp... |
the-stack_106_25716 |
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
x_axix = [0,0.1,0.5,1,2,3]
cer = [66.12,63.07,69.03,63.65,63.46,69.54]
f1 = [47.61,50.69,45.88,50.5,52.38,46.01]
bleu1 = [41.73,50.24,34.09,46.98,45.12,30.18]
bleu2 = [32.8,39,27.1,36.83,36.13,24.51]
unigram = [3.2,2.9,3.5,3,2.9,2.9]
bigram =... |
the-stack_106_25717 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals
import unittest
from collections import defaultdict
from chinese_calendar.constants import holidays, workdays
class HolidayAmountTests(unittest.TestCase):
def test_holiday_amount(self):
holiday_amounts = defaultdict(int)
... |
the-stack_106_25718 | #!/usr/bin/env python
# This shows how to leverage the endpoints API to get a new hidden
# service up and running quickly. You can pass along this API to your
# users by accepting endpoint strings as per Twisted recommendations.
#
# http://twistedmatrix.com/documents/current/core/howto/endpoints.html#maximizing-the-re... |
the-stack_106_25719 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
def is_leap(year):
"""
输入年份 如果是闰年输出True 否则输出False
"""
try:
year = int(year)
except Exception as err:
print(err)
else:
is_leap = year % 4 == 0 and year % 100 != 0 or \
year % 400 == 0
return is_leap
... |
the-stack_106_25723 | import os
import django
DEBUG = True
TEMPLATE_DEBUG = DEBUG
SITE_ROOT = os.path.dirname(os.path.realpath(__file__))
ADMINS = (
# ('Your Name', 'your_email@domain.com'),
)
MANAGERS = ADMINS
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3', # Add 'postgresql_psycopg2', 'postgresql', '... |
the-stack_106_25726 | from logging import getLogger
import tkinter as tk
import traceback
from typing import Optional, Tuple, List
from thonny import get_workbench
from thonny.codeview import SyntaxText, CodeViewText, get_syntax_options_for_tag
from thonny.common import SignatureInfo, SignatureParameter
from thonny.editors import Editor
fr... |
the-stack_106_25728 | import serial
import logging
from . import EELS_controller
from nion.swift.model import HardwareSource
import socket
__author__ = "Yves Auad"
class EELS_Spectrometer(EELS_controller.EELSController):
def __init__(self, sport):
super().__init__()
self.success = False
self.serial_success = F... |
the-stack_106_25730 | import numpy as np
from . import rans
from utils.distributions import discretized_logistic_cdf, \
mixture_discretized_logistic_cdf
import torch
precision = 24
n_bins = 4096
def cdf_fn(z, pz, variable_type, distribution_type, inverse_bin_width):
if variable_type == 'discrete':
if distribution_type == ... |
the-stack_106_25732 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function, unicode_literals
import ubelt as ub
def read_tensorboard_scalars(train_dpath, verbose=1, cache=1):
"""
Reads all tensorboard scalar events in a directory.
Caches them becuase reading events of interest from protobuf ... |
the-stack_106_25735 | import yaml
import logging
import requests
import os
REL_PATH = os.path.realpath(__file__).rsplit('/', 1)[0]
class MirrorConfig:
"""Class that contains config for crypto-mirror UI and stuff"""
def __init__(self, *args, **kwargs):
self.__dict__.update(kwargs)
self.validate_token()
def valid... |
the-stack_106_25737 | import os
import albumentations as A
abs_path = os.path.dirname(__file__)
args = {
'model_path': '/root/gld_pd/models/',
'data_path': '/root/snacks_data/5/',
'data_path_2019': '/root/snacks_data/5/',
'valid_csv_fn': 'test_filtered.csv',
'train_csv_fn': 'train_filtered.csv',
'gpus': '0',
'... |
the-stack_106_25740 | # -*- coding: utf-8 -*-
from __future__ import absolute_import
import logging
import time
import uuid
from django.core.exceptions import ImproperlyConfigured
from django.utils.encoding import force_text
from . import codex
from . import exceptions
from . import saml2idp_metadata
from . import xml_render
from .request... |
the-stack_106_25742 | '''OpenGL extension ARB.vertex_buffer_object
Overview (from the spec)
This extension defines an interface that allows various types of data
(especially vertex array data) to be cached in high-performance
graphics memory on the server, thereby increasing the rate of data
transfers.
Chunks of data are encapsula... |
the-stack_106_25743 | import unittest
import nn_grad_test as nt
import numpy as np
import start.neural_network as nn
import start.layer_dict as ld
import start.weight_update_params as wup
class TestTrainSigo2(unittest.TestCase):
def test(self):
net = nn.NeuralNetwork("test_net", 1)
layer = ld.hdict["fc"](10)
... |
the-stack_106_25745 | import os
import shutil
import torch
import torch.nn as nn
import torch.optim as optim
from torch_mimicry.nets.basemodel.basemodel import BaseModel
class ExampleModel(BaseModel):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.linear = nn.Linear(1, 4)
nn.init.... |
the-stack_106_25746 | import os
from distutils.dir_util import copy_tree
import time
import pytest
from nixui.graphics import main_window
from nixui import state_model
from nixui.options.option_tree import OptionTree
from nixui.options.attribute import Attribute
SAMPLES_PATH = 'tests/sample'
def pytest_addoption(parser):
parser.ad... |
the-stack_106_25747 | # Author: Gustavo Solcia
# E-mail: gustavo.solcia@usp.br
"""3D reconstruction using a segmentation image. We apply Marching Cubes algorithm and a
surface smoothing from the largest connected region. LOOK AT YOUR DATA: for some cases
the surface smoothing can shrink parts of your surface.
"""
import os
import ... |
the-stack_106_25750 | # -*- coding: utf-8 -*-
u"""run test files in separate processes
:copyright: Copyright (c) 2019 RadiaSoft LLC. All Rights Reserved.
:license: http://www.apache.org/licenses/LICENSE-2.0.html
"""
from __future__ import absolute_import, division, print_function
from pykern.pkcollections import PKDict
def default_comma... |
the-stack_106_25751 | import numpy as np
import torch
from torch.nn import functional as F
from nflows.transforms.base import InputOutsideDomain
from nflows.utils import torchutils
from nflows.transforms.standard import PointwiseAffineTransform
DEFAULT_MIN_BIN_WIDTH = 1e-3
DEFAULT_MIN_BIN_HEIGHT = 1e-3
DEFAULT_MIN_DERIVATIVE = 1e-3
def ... |
the-stack_106_25756 | # -*- coding: utf-8 -*-
from django.conf import settings
from django.core.urlresolvers import reverse
from django.db import models
from django.utils.translation import ugettext_lazy as _
from mollie.ideal.helpers import _get_mollie_xml, get_mollie_bank_choices
class MollieIdealPayment(models.Model):
transaction... |
the-stack_106_25757 | from pptx import Presentation
from pptx.util import Mm, Pt
from pptx.dml.color import RGBColor
from pptx.enum.shapes import MSO_SHAPE, MSO_CONNECTOR
from pptx.enum.text import PP_ALIGN
import importlib.resources as pkg_resources
from concurrent.futures import ThreadPoolExecutor, Future
from threading import Lock
from .... |
the-stack_106_25760 | from setuptools import setup, find_packages
with open("README.md", "r") as f:
long_description = f.read()
setup(
name="wplay",
version="5.0.3",
install_requires=["python-telegram-bot >= 11.1.0",
"datetime >= 4.3",
"playsound >= 1.2.2",
... |
the-stack_106_25761 | from __future__ import annotations
from collections import OrderedDict
from dataclasses import dataclass
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import TypeVar, Union, Type, ForwardRef
from .addon import AddonBase
TAddon = TypeVar('TAddon')
del TYPE_CHECKING
import logging
logger =... |
the-stack_106_25762 | """Opcodes printing
Takes .py files and yield opcodes (and their arguments) for ordinary python programs.
This file can also be imported as a module and contains the following
functions:
* expand_bytecode - function find and extends bytecode result
* bc_print - function print instructions names and human re... |
the-stack_106_25763 | # Time: O(h)
# Space: O(h)
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution(object):
def deleteNode(self, root, key):
"""
:type root: TreeNode
:type key:... |
the-stack_106_25764 | # This file is part of Indico.
# Copyright (C) 2002 - 2020 CERN
#
# Indico is free software; you can redistribute it and/or
# modify it under the terms of the MIT License; see the
# LICENSE file for more details.
from mock import MagicMock
from indico.modules.groups import GroupProxy
from indico.modules.networks.mode... |
the-stack_106_25765 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
import subprocess
import socket
import datetime
import os
import ctypes
import platform
NO_NGINX = 0
NO_NGINX_CONF = 1
NO_NGINX_LOG = 2
SUCCESS = 6
def check_memory(path, style='M'):
i = 0
for dirpath, _, filename in os.walk(path):
for ii in filename:
... |
the-stack_106_25766 | import eel
import logging
from core.cmp.functions import analize_grammar, make_tree
@eel.expose
def pipeline(data):
values = analize_grammar(data)
fd = open("./web/template.html", 'r', encoding='UTF-8')
data = fd.read()
fd.close()
sec = data.split('%s')
html = []
for i in ra... |
the-stack_106_25767 |
import os
from conans import ConanFile, CMake
class Protobuf(ConanFile):
name = "protobuf"
settings = "os", "arch", "compiler", "build_type"
options = {"shared": [True, False]}
default_options = {"shared": False}
exports = "*"
generators = "cmake", "cmake_find_package"
requires = "zlib/0... |
the-stack_106_25768 | import os
import logging
import time
import pathlib
import condoloader
def main(datadir):
target = condoloader.CondoLoader()
if target.databaseisready():
target.loadpluto_load(datadir)
target.loadcondo_load(datadir)
target.loadcondo()
else:
readymsg = ("{0}{1}"
... |
the-stack_106_25769 | import numpy as np
import matplotlib
import matplotlib.pyplot as plt
def intensity_histogram( data, bins, x_label, y_label, legend, filename, markers , display=True):
plt.figure(figsize=(18,10), facecolor='w')
# first make a simple histogram
plt.hist( data, bins, alpha=0.7, label=legend)
# now plot th... |
the-stack_106_25773 | """Support functions for the second-order update equation"""
from abc import ABC, abstractmethod
from typing import Optional
__all__ = ['Sigma', 'numerical_estimate_A']
class Sigma(ABC):
"""Function σ(t) for the second order update equation.
This is an abstract bases class. For any optimization that requir... |
the-stack_106_25774 | #!/usr/bin/env python2
# Copyright (c) 2014 The Bitcoin Core developers
# Copyright (c) 2017-2018 The CruZeta developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
# Test for -rpcbind, as well as -rpcallowip and -rpcconnect
... |
the-stack_106_25775 | from django.shortcuts import render,redirect
from django.http import HttpResponse,Http404,HttpResponseRedirect
from django.contrib.auth.decorators import login_required
from django.core.exceptions import ObjectDoesNotExist
from .models import Post,Profile,Comment,Like,User
from .forms import NewPostForm,ProfileForm,Com... |
the-stack_106_25783 |
import os
import cv2
import random
import tensorflow as tf
import os.path as osp
import numpy as np
import cityscapesscripts.helpers.labels as CSLabels # to be deprecated
from glob import glob
# physical_devices = tf.config.list_physical_devices('GPU')
# try:
# tf.config.experimental.set_memory_growth(physica... |
the-stack_106_25784 | import json
from collections import defaultdict
name_box_id = defaultdict(list)
id_name = dict()
f = open(
r"F:\2_doc\7_datasets\COCO2017\annotations\instances_train2017.json",
encoding='utf-8')
data = json.load(f)
annotations = data['annotations']
for ant in annotations:
id = ant['image_id']
name = r... |
the-stack_106_25786 | # -*- coding: utf-8 -*-
# Investigating ConvNets to create high quality xG models - https://www.opengoalapp.com/xg-with-cnns-full-study
# by @openGoalCharles
# Tested with tensorflow 2.2.0 - some of the visualisations will definitely need >= v2.0.0, not sure about the core code
# The model is lightweight - will train... |
the-stack_106_25788 | import struct
def ieee_single_encode(number: float) -> str:
packed = struct.pack("!f", number)
unpacked = [f"{b:b}".rjust(8, "0") for b in packed]
encoded = "".join(unpacked)
return encoded
if __name__ == "__main__":
with open("sideinfordeci.txt") as input_f, open(
"sideinforbina.txt", "... |
the-stack_106_25789 | # Reminder: For the history array, "cooperate" = 1, "defect" = 0
def forgivingCopycat(history):
round = history.shape[1]
if history[1,-1] == 0:
if round > 3:
if history [0, -1] == 1 and history [0,-2] == 0 and history [1, -2] == 1:
return "cooperate"
return "defect"
... |
the-stack_106_25790 |
from itertools import product
import numpy as np
INV_SQRT_3 = 1.0 / np.sqrt(3.0)
ASIN_INV_SQRT_3 = np.arcsin(INV_SQRT_3)
def csgrid_GMAO(res):
"""
Return cubedsphere coordinates with GMAO face orientation
Parameters
----------
res : cubed-sphere Resolution
"""
CS = CSGrid(res, offset=-... |
the-stack_106_25791 | # Copyright (C) 2019 The Raphielscape Company LLC.
#
# Licensed under the Raphielscape Public License, Version 1.c (the "License");
# you may not use this file except in compliance with the License.
""" Userbot module containing userid, chatid and log commands"""
from time import sleep
from telethon.tl.functions.chan... |
the-stack_106_25793 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright: Ansible Project
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
DOCUMENTATION = '''
---
module: gce_instance_template
short_descri... |
the-stack_106_25798 | __author__ = "Nicolas Delplanque"
__credits__ = ["Nicolas Delplanque"]
__version__ = "1.0.1"
__maintainer__ = "Nicolas Delplanque"
__email__ = "nicolas.delplanque@student.umons.ac.be"
from SPJRUD.SPJRUD import SPJRUD
from Representation.Relation import Relation
from Representation.Attribute import Attribute
from SPJR... |
the-stack_106_25799 | """Nutanix Integration for Cortex XSOAR - Unit Tests file"""
import io
import json
from datetime import datetime
from typing import *
import pytest
from CommonServerPython import DemistoException, CommandResults
from NutanixHypervisor import Client
from NutanixHypervisor import USECS_ENTRIES_MAPPING
from NutanixHype... |
the-stack_106_25800 | # Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... |
the-stack_106_25802 | # encoding=utf-8
import logging
from typing import Any
from hamcrest.core.core.isanything import IsAnything
from hamcrest.core.description import Description
from hamcrest.core.matcher import Matcher
logger = logging.getLogger(__name__)
def append_matcher_description(
field_matcher: Matcher[Any], field_name: st... |
the-stack_106_25803 |
import auxiliary.process as process
import pandas as pd
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import seaborn as sns
import keywords
import random
import json
# mode = 'any'
# mode = "all"
sns.set(style="whitegrid", rc={'figure.figsize':(20,10)})
random.seed(1)
def selectHost(time... |
the-stack_106_25806 | #-*- coding: utf-8 -*-
import os
from django.test import TestCase
from django.core.urlresolvers import reverse
import django.core.files
from django.contrib.admin import helpers
from django.contrib import admin
from django.contrib.auth.models import User
from django.conf import settings
from filer.models.filemodels imp... |
the-stack_106_25807 | #coding:utf-8
# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... |
the-stack_106_25812 | """
Copyright (c) 2022 Huawei Technologies Co.,Ltd.
openGauss is licensed under Mulan PSL v2.
You can use this software according to the terms and conditions of the Mulan PSL v2.
You may obtain a copy of Mulan PSL v2 at:
http://license.coscl.org.cn/MulanPSL2
THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, W... |
the-stack_106_25814 | '''
Script contains helper functions to load data from MIMIC-III.
'''
import pandas as pd
import torch.utils.data as data_utils
def load_mimic3(fpath='data/sepsis3_processed_data.csv'):
data = pd.read_csv(fpath, index_col=0)
traj_ids = data['traj'].unique()
return traj_ids, data
def collate_fn(batch):
... |
the-stack_106_25816 | #!/usr/bin/env python3
# Copyright (c) 2014-2016 The Tcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
#
# Test proper accounting with a double-spend conflict
#
from test_framework.test_framework import TcoinT... |
the-stack_106_25820 | import os
import subprocess
currentdir = os.path.dirname(__file__)
examplesdir = os.path.join(
currentdir, os.path.join(os.pardir, os.pardir), 'examples'
)
example_files = []
for root, dirs, files in os.walk(examplesdir):
for basneame in files:
if basneame.endswith('.py'):
example_files.ap... |
the-stack_106_25822 | from django import template
register = template.Library()
@register.filter
def flow_color(value):
if value == 0.0:
return "rgb(255, 255, 255)"
elif value > 0.0:
max_light = 196
light = int(max_light - min(max_light, value / 30.0 * max_light))
return "rgb({}, {}, 255)".format(l... |
the-stack_106_25823 | # -*- coding: utf-8 -*-
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... |
the-stack_106_25824 | from network import WLAN
wlan = WLAN(mode=WLAN.STA)
import pycom
import time
# initialisation code
pycom.heartbeat(False)
pycom.rgbled(0x008080) # Cyan
# Connect to Wifi
nets = wlan.scan()
for net in nets:
if net.ssid == 'HDTL-a':
print('Network found!')
wlan.connect(net.ssid, auth=(net.sec, 'FEE... |
the-stack_106_25827 | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... |
the-stack_106_25828 | # (c) 2012, Daniel Hokka Zakrisson <daniel@hozac.com>
# (c) 2017 Ansible Project
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
DOCUMENTATION = """
name: file
author: Daniel Hok... |
the-stack_106_25829 | # DADSA - Assignment 1
# Reece Benson
from os import system as call
from collections import OrderedDict
class Menu():
# Define the variables we will be using
_app = None
_menu = None
_current_menu = 0
def __init__(self, app):
# Set our Application
self._app = app
def load(sel... |
the-stack_106_25831 | # -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2018-2020 Fetch.AI Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the ... |
the-stack_106_25832 | """
testplan.py -
NOTE: this module should not be run as a standalone scripts, excepts for
built-in tests.
"""
# HISTORY ####################################################################
#
# 1 Apr11 MR # initial version
# 2 Jan12 MR # simplification: Configura... |
the-stack_106_25834 | from typing import cast
from .. import imaging
from ..pack import PackCollection
from ..ex.language import Language
class IconHelper(object):
ICON_FILE_FORMAT = 'ui/icon/{0:03d}000/{1}{2:06d}.tex'
@staticmethod
def get_icon(pack: PackCollection,
nr: int,
language: Langu... |
the-stack_106_25835 | '''
This code is inspired on https://github.com/jrieke/shape-detection/
'''
import matplotlib.pyplot as plt
import matplotlib
import numpy as np
import datetime
import random
# import cairo,math
from skimage.draw import circle, polygon
from tqdm import tqdm
import h5py, os
class HelloWorldDataset:
def __init__(s... |
the-stack_106_25837 | # NOTE:
# Most of these functions are based off pathsim.py from the torps project,
# but this code is neither reviewed nor endorsed by the torps authors.
# Torps is a relatively straightforward Python port of tor's path selection
# algorithm. The original torps code and licensing information can be
# found at... |
the-stack_106_25838 | #Importing required libraries and dataset
import numpy as np
from nilearn.input_data import MultiNiftiMasker
from sklearn.linear_model import OrthogonalMatchingPursuit as OMP
from sklearn.feature_selection import f_classif, SelectKBest
from sklearn.pipeline import Pipeline
from sklearn.metrics import (accuracy_score, p... |
the-stack_106_25840 | """
Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
SPDX-License-Identifier: Apache-2.0
"""
import concurrent.futures
import time
import pytest
from botocore.session import get_session
from graph_notebook.neptune.client import Client
from test.integration import DataDrivenSparqlTest
def long_ru... |
the-stack_106_25842 | # Import relevant packages
import numpy as np
from scipy import optimize
import matplotlib.pyplot as plt
# Utility function
def u_func(h, c, par):
"""
Cobb-Douglas utility function for consumption and housing quality
Args:
h (float): housing quality and equal to housing price
c (float): o... |
the-stack_106_25843 | from typing_extensions import Final
import numpy as np
import torch
from torch import nn
from typing import Any, Dict, Optional, Union
from ptgnn.baseneuralmodel import AbstractNeuralModel
from ptgnn.baseneuralmodel.utils.data import enforce_not_None
from ptgnn.neuralmodels.gnn.structs import AbstractNodeEmbedder
c... |
the-stack_106_25846 | #
# Copyright (c) 2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... |
the-stack_106_25848 | # --------------------------------------------------------------------------
#
# Copyright (c) Microsoft Corporation. All rights reserved.
#
# The MIT License (MIT)
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the ""Software""), ... |
the-stack_106_25854 | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import warnings
from collections import OrderedDict
from functools import partial
from torch.distributions import biject_to, constraints
from torch.nn import Parameter
import pyro
import pyro.distributions as dist
from pyro.distr... |
the-stack_106_25855 | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
from __future__ import division
from __future__ import print_function
import copy
import numpy as np
import pandas as pd
from scipy.stats import spearmanr, pearsonr
from ..data import D
from collections import OrderedDict
def _get_position... |
the-stack_106_25856 | """
The methods for loading Home Assistant integrations.
This module has quite some complex parts. I have tried to add as much
documentation as possible to keep it understandable.
"""
from __future__ import annotations
import asyncio
from collections.abc import Callable
from contextlib import suppress
import functool... |
the-stack_106_25857 | #!./parrott-env/bin/python
from app import app, collector
from apscheduler.scheduler import Scheduler
if __name__ == '__main__':
# Run the collector on start
collector.collect()
# Schedule the Collector
scheduler = Scheduler()
scheduler.add_interval_job(collector.collect, minutes=30)
schedule... |
the-stack_106_25858 | import requests
from bs4 import BeautifulSoup
from .fetcher import Fetcher
from ..excepts import MangaNotFound
class Naver(Fetcher):
def __init__(self, link:str=None, manga:str=None, chapstart=1, collection=""):
super().__init__(link, manga, chapstart)
if collection:
self._collection =... |
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