content stringlengths 5 1.05M |
|---|
import weakref
from .utils import Owned
__all__ = ['Binds']
class Input:
"""Discreptor for inputs, can only be assigned once."""
def __get__(self, instance, owner):
if instance is None:
return self
try:
return instance.__dict__['__input__']
except KeyError:
... |
# encoding: utf-8
"""
Custom element classes that correspond to the document part, e.g.
<w:document>.
"""
from .xmlchemy import BaseOxmlElement, ZeroOrOne, ZeroOrMore
from .ns import qn, nsmap
class CT_Document(BaseOxmlElement):
"""
``<w:document>`` element, the root element of a document.xml file.
"""
... |
from .. import moment
import numpy as np
import pandas as pd
import datetime as dt
import tzlocal
import pytz
import time
class TestMoment:
def test_moment(self):
test0 = float(1580780607)
test = test0
assert moment.Moment(test)._posix == test0
test = dt.datetime.fromtimestamp(test... |
# Copyright 2016 Leon Poon and Contributors
#
# 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 ... |
#!/usr/bin/env python
##
## See COPYING file distributed along with the ncanda-data-integration package
## for the copyright and license terms
##
import os
import re
import glob
import shutil
import zipfile
import tempfile
import subprocess
import sibis
import check_gradient_tables as cgt
#
# Verify image count in... |
from django.shortcuts import render
from django.http.response import HttpResponse, JsonResponse
from django.views import generic
from django.views.decorators.csrf import csrf_exempt
from django.utils.decorators import method_decorator
import speech_recognition as sr
import requests
import json
import os
class SpeechT... |
import random
num_arr=[]
Prefix_number=["0915","0912","0910"]
final=""
for total in range(0,500):
for num in range(0,7):
n=random.randint(0,9)
num_arr.append(n)
if num == 6:
for j in num_arr:
final=final+str(j)
print(random.choice(Prefix_num... |
"""
API endpoints
"""
from flask import jsonify, request, Response, current_app as app
from flask_github_signature import verify_signature
from app import limiter
from app.api import api
from app.data_tools import (
get_age_chart_data, get_admins_per_region,
get_admins_timeseries_chart_data, get_admins_per_pro... |
from moto.swf.models import GenericType
import sure # noqa
# Tests for GenericType (ActivityType, WorkflowType)
class FooType(GenericType):
@property
def kind(self):
return "foo"
@property
def _configuration_keys(self):
return ["justAnExampleTimeout"]
def test_type_short_dict_repr... |
# coding: utf-8
import random
import numpy as np
import celery
from keras.models import model_from_json
from models import Song
import utils
import writer
from settings import MEMORY_LENGTH, MAX_SONG_LENGTH, MODEL_ARC_PATH, MODEL_CHARS_PATH, MODEL_WEIGHTS_PATH
class WriterException(Exception):
pass
model ... |
import sys
import collections
import numpy as np
import pandas as pd
from sklearn import tree
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score
import matplotlib.pyplot as plt
continuous_columns_global = [0,4,11,12,13,14,15,16,17... |
from onegov.agency.custom import get_global_tools
from onegov.agency.custom import get_top_navigation
from onegov.agency.forms import UserGroupForm
from onegov.agency.initial_content import create_new_organisation
from onegov.agency.pdf import AgencyPdfAr, AgencyPdfBs
from onegov.agency.pdf import AgencyPdfDefault
from... |
from django.db import models
from django.contrib.postgres.fields import JSONField
# Create your models here.
class Notepad(models.Model):
url = models.CharField(max_length=100, blank=True, null=True)
notes = JSONField(blank=True, null=True)
def __str__(self):
return self.url
|
from .mongodbconnectionmanager import MongoDbConnectionManager
from .mongosessioninterface import MongoSessionInterface
|
# -*- coding: utf-8 -*-
"""
Created on Thu Feb 1 19:41:21 2018
@author: Gabo
"""
import numpy as np
import matplotlib.pyplot as plt
import os
#%%
## Importar datos ##
# Funciones útiles:
# np.loadtxt, np.load, np.genfromtxt, csv.reader (leer: https://docs.python.org/2/library/csv.html)
os.chdir(r'un\path\cualquie... |
from os import path
from setuptools import setup, find_packages
with open('requirements.txt') as f:
requirements = f.readlines()
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, 'README.md')) as f:
long_description = f.read()
setup(
name='idasen-controller',
v... |
# -*- coding: utf-8 -*-
# BioSTEAM: The Biorefinery Simulation and Techno-Economic Analysis Modules
# Copyright (C) 2020, Yoel Cortes-Pena <yoelcortes@gmail.com>
#
# This module extends the reaction module from the chemicals library:
# https://github.com/CalebBell/chemicals
# Copyright (C) 2020 Caleb Bell <Caleb.Andre... |
"""
Add color bar
"""
from ...tk.matplotlibTK import color_bar
from typing import Dict
from .make_color_bar_axis import make_color_bar_axis
def add_color_bar(params):
# type: (Dict) -> Dict
"""Refine legend properties
Args:
params (dict): plotting parameter dictionary
Returns:
same a... |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
"""
@Email: guangmingwu2010@gmail.com \
guozhilingty@gmail.com
@Copyright: go-hiroaki & Chokurei
@License: MIT
"""
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from community import lpips
from community import fid
eps = 1... |
import time
from . import Tstat6
global MAX_PRIORITY
MAX_PRIORITY = 10
global MIN_PRIORITY
MIN_PRIORITY = 0
#format for lists is ID, priority, is on (1/0), mode, can switch (1/0)
global equip
# Compare the priority of two devices. If priority is the same,
# prefer the device that we can actuate.
def compare_prior... |
from django import forms
class ContactForm(forms.Form):
subject = forms.CharField(max_length=100)
message = forms.CharField()
sender = forms.EmailField()
|
#!/usr/bin/env python
import os
import os.path
import sys
import subprocess
import socket # gethostname()
import re # regular expression
#from optparse import OptionParser
import getopt
# http://docs.python.org/2/library/collections.html#collections.deque
from collections import deque # double-ended queue
import inspe... |
import networkx as nx
import seaborn as sns
import pandas as pd
from matplotlib import pyplot as plt
def get_random_graphs(num_graphs=500, num_nodes=20, edge_prob=0.3):
# returns a list of random networkx graphs
graph_list = []
for i in range(num_graphs):
graph = nx.fast_gnp_random_graph(num_nodes... |
from .config import get_train_parser as gvae_parser
from .config import get_generate_parser as gvae_generate_parser
#from .model_cvae import CVAE as GVAE
#from .model_gvae import Model as GVAE
from .model_gvae_v2 import Model as GVAE
from .trainer import GVAETrainer
from .generator import GVAEGenerator
__all__ = ['gva... |
import os
from flask import render_template, request, current_app, send_from_directory, flash, redirect, url_for, abort
from flask_login import login_required, current_user
from sites.extensions import db
from sites.forms.main import DescriptionForm, TagForm, CommentForm
from sites.models import Photo, Tag, PhotoComm... |
# General imports
import collections
import numpy as np
import pandas as pd
import matplotlib.axes
# Import task and users
from bandit.envs import MultiBanditTask
from bandit.agents import RW, WSLS, RandomPlayer
# Import development helper bundle
from modelchecks import ModelChecks
# Seed for reproduceability of the... |
# Qhue is (c) Quentin Stafford-Fraser 2014
# but distributed under the GPL v2.
import requests
import json
class QhueException(Exception):
pass
class Resource(object):
def __init__(self, url, timeout=5):
self.url = url
self.timeout = timeout
def __call__(self, *args, **kwargs):
u... |
import tensorflow as tf
from configuration import NUM_CLASSES
class FireModule(tf.keras.layers.Layer):
def __init__(self, s1, e1, e3):
super(FireModule, self).__init__()
self.squeeze_layer = tf.keras.layers.Conv2D(filters=s1,
kernel_size=(1, 1),
... |
a="this is a example of reverse indexing string"
print(a[::-1])
b="hello world"
print(b[8]) |
from bs4 import BeautifulSoup as bs
import os
import re
import urllib
import pandas as pd
from institutionList import institutions
import time, datetime
from dateutil.relativedelta import relativedelta
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
def parse_form_13F():
#--... |
from data.base_dataset import BaseDataset, get_transform
from data.image_folder import make_dataset
from util.util import normalize
from skimage import io
from util import util
import numpy as np
class DiceImageDataSet(BaseDataset):
"""This dataset class loads a single 3D image volume and dice it into cubes. --da... |
import torch
import torch.nn as nn
import torch.nn.functional as F
class SobelConv2d(nn.Module):
def __init__(self, in_channels, out_channels, kernel_size=3, stride=1,
padding=0, dilation=1, groups=1, bias=True, requires_grad=True):
assert kernel_size % 2 == 1, 'SobelConv2d\'s kernel_siz... |
from setuptools import setup
import re
import os
import sys
from shutil import rmtree, copytree
requirements = []
with open("requirements.txt", "r") as f:
requirements = f.read().split("\n")
version = None
with open("campfire/__init__.py", "r") as f:
version = re.search(r'^__version__\s*=\s*[\'"]([^\'"]*)[\'"... |
# model for our postgres database
# to upgrade the db schema, run:
#> python manage.py db migrate
#> python manage.py db upgrade
# in the virtualenv
from server import db
from sqlalchemy.dialects.postgresql import JSON
class User(db.Model):
__tablename__ = 'users'
id = db.Column( db.Integer, primary_key=... |
# Copyright 2019 The Feast 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... |
#0<average_memory ≤ 0.037<br/>mse = 0.014<br/>samples = 5002<br/>value = 0.078>
#0 -> 1 [headlabel="True", labelangle=45, labeldistance="2.5"];
import os
import json
from flask import jsonify
tree_num = 5
dir_path = os.path.dirname(os.path.abspath(__file__))
def partition(arr,low,high):
i = ( low-1 ) ... |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
import asyncio
import copy
import logging
import os
import traceback
from asyncio import AbstractEventLoop
from typing import Text, Optional
from sanic import response, Blueprint, Sanic
from sanic.response import json as jsonify
from sanic_jwt import protected
from sanic_restful_api import Api, Resource
from app impo... |
# Copyright (c) 2016-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
import freeswitch
impo... |
# -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2018-2019 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 ... |
import re
from os.path import join
from jiwer import wer
from io_operations.load_files import load_transcription
def transcription_test(ref_path, filename, hyp_path, verbose):
ref = load_transcription(join(ref_path, filename))
hyp = load_transcription(join(hyp_path, filename))
ref_texts = ['', '']
hy... |
import copy
from pprint import pprint
def find_all_diffs(adapter_list):
adapter_list_high = copy.deepcopy(adapter_list)
adapter_list_high.append(max(adapter_list)+3)
adapter_list_high.sort()
adapter_list_low = copy.deepcopy(adapter_list)
adapter_list_low.insert(0, 0)
adapter_list_low.sort()
... |
import sys
import os
from parameterized import parameterized
sys.path.append(os.path.abspath("../"))
from unittest import TestCase, mock
from icon_cisco_umbrella_destinations.connection.connection import Connection
from icon_cisco_umbrella_destinations.actions.dGet import DGet
from icon_cisco_umbrella_destinations.ac... |
import boto3
AWS_ACCESS_KEY_ID = "KEY_VALUE"
AWS_SECRET_ACCESS_KEY = "SECRET_KEY_VALUE"
AWS_DEFAULT_REGION = "ap-northeast-2"
logs = boto3.client('logs',
aws_access_key_id=AWS_ACCESS_KEY_ID,
aws_secret_access_key=AWS_SECRET_ACCESS_KEY,
region_name=AWS_DEFA... |
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.colors import LinearSegmentedColormap
from matplotlib.offsetbox import TextArea, AnnotationBbox
import numpy as np
import seaborn as sns
from statistics import mean,stdev
from matplotlib import rc
if __name__ == '__main__':
rc('font', **{'family'... |
def is_palindrome(yarn):
"""Return whether or not a string is a palindrome.
A palindrome is a word/phrase that's the same in
both directions.
"""
return yarn == yarn[::-1] |
"""Image Processing: image manipulation and image info routines
"""
# Copyright 2017-2018 Matthew A. Clapp
#
# 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/licens... |
import pygame, sys, easygui, glob
import constants
from player import Player
from platform import Platform
from map import Map
from textfunctions import *
from camera import Camera
from button import Button
if pygame.joystick.get_count() > 0:
controller = pygame.joystick.Joystick(0)
controller.init()
else:
controll... |
# -*- coding: utf-8 -*-
"""
Created on Fri Apr 13 19:24:33 2018
@author: DrLC
"""
import socket
import sys
import time
import numpy
import matplotlib.pyplot as plt
DEFAULT_IP = 'localhost'
DEFAULT_PORT = 2333
DEFAULT_BUFSIZE = 1024
DEFAULT_TIMEOUT = 10
DEFAULT_LENGTH = 1000
DEFAULT_FIGURE_PATH = "../results/rate.jpg... |
from logik import *
from logik.sat import *
from utils import equivalent
def test_remove_implications():
# base expression
expr = ('->', ('symb', 'a'), ('symb', 'b'))
# base expression without implications
exprA = sat.remove_implications(expr)
# expected result
exprB = ('ou', ('non', ('symb',... |
## Exercice avec les fichiers
## Calculer la moyenne des notes d'un fichier, une note par ligne
import statistics
notes = []
with open('notes.txt', 'r') as f:
# pour chaque ligne du fichier
for note in f:
notes.append(int(note))
total = sum(notes)
moyenne = total / len(notes)
print(f"La moyenne des no... |
#!/usr/bin/env python3.7
# Copyright (c) 2018-2019 Lynn Root
"""
Initial setup - starting point based off of
http://asyncio.readthedocs.io/en/latest/producer_consumer.html
Notice! This requires:
- attrs==19.1.0
To run:
$ python part-0/mayhem_1.py
Follow along: https://roguelynn.com/words/asyncio-initial-setup/... |
def database(my_input):
from firebase import firebase
# converting to upper case
my_input = my_input.upper()
# storing the first letter
first_letter = my_input[0]
fireurl = ('https://nemo-bot-9ae9c.firebaseio.com/%s/' % first_letter.upper())
firebase = firebase.FirebaseApplication(... |
#!/usr/bin/env python
# coding: utf-8
#
# Copyright 2010 Alexandre Fiori
# based on the original Tornado by Facebook
#
# 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.... |
from setuptools import setup, find_packages
from mailify import __version__
setup(
name = "django-mailify",
version = __version__,
description = "Enhance the builtin Django mail functionality to " + \
"include task queueing or deferment.",
author = "Keith Hall",
author_email = "code@keith.... |
import unittest
import os
import sys
PACKAGE_ROOT = '../..'
SCRIPT_DIR = os.path.dirname(os.path.realpath(os.path.join(os.getcwd(),
os.path.expanduser(__file__))))
PACKAGE_PATH = os.path.normpath(os.path.join(SCRIPT_DIR, PACKAGE_ROOT))
sys.path.append(PACKAGE_P... |
import pynvim as nvim
from typing import List
from tmuxdir.rplugin import TmuxDirPlugin
from tmuxdir.tmux_session_facade import TmuxFacadeException
from tmuxdir.util import echoerr, expanduser_raise_if_not_dir
@nvim.plugin
class TmuxDirRPlugin:
def __init__(self, nvim: nvim.Nvim) -> None:
try:
... |
# utils.py
# External imports
from numpy.linalg import norm
# Normalize vector
def normalize(vector):
return vector/norm(vector) |
from iexfinance.stocks import Stock
from scraper import popularTickers
IEX_TOKEN = "ENTER YOUR OWN"
def closePrice(ticker):
a = Stock(ticker, token = IEX_TOKEN)
previousClose = a.get_quote()['previousClose']
currentClose = a.get_quote()['iexClose']
return previousClose, currentClose
x, y = popula... |
# See LICENSE for licensing information.
#
# Copyright (c) 2016-2019 Regents of the University of California and The Board
# of Regents for the Oklahoma Agricultural and Mechanical College
# (acting for and on behalf of Oklahoma State University)
# All rights reserved.
#
from globals import OPTS
class sram_factory:
... |
import os, sys, time
import datetime
from datetime import datetime, timedelta
from pytz import timezone
import mysql.connector
import logging
DIR = os.path.dirname(os.path.realpath(__file__))
sys.path.insert(1, DIR+'/../src/garage')
sys.path.insert(1, DIR+'/../src/greenhouse')
sys.path.insert(1, DIR+'/../s... |
## @ingroup Components-Energy-Networks
# PyCycle.py
#
# Created: Sep 2020, E. Botero
# Modified:
# ----------------------------------------------------------------------
# Imports
# ----------------------------------------------------------------------
# package imports
import numpy as np
from copy import deepcopy
... |
from global_ import *
from global_var_ import MINIMUM_SEEN_MOVIES, MINIMUM_SEEN_USERS
import pandas as pd
import numpy as np
from collections import Counter
from sklearn.preprocessing import MultiLabelBinarizer
import scipy
from tqdm import tqdm
import itertools as it
# Loading data
def load_data(path, dataset_type=... |
import matplotlib.pyplot as plt
import numpy as np
import scipy as sc
import sounddevice as sd
def generate_signal_from_spectrum(C_k: np.ndarray)-> np.ndarray:
"""
generates a real valued time domain signal from frequency coefficients for ifft. Signal is aprox. scaled to ~[-1;1].
:param C_k: np.n... |
#!/bin/bash
# --------------------------------------------------
# Filename: Update_Initialization.py
# Revision: 1.0
# Data: 2018/12/09
# Author: Yue Cao
# Email: ycao009@cs.ucr.edu
# Description: Update the initialization of target variables at source code. Then compile codes and link the bc files... |
#!/usr/bin/python
# coding=utf-8
from . import GetDht11,GetSys,GY30,HCSR04,SR501
|
import re
from django import template
register = template.Library()
@register.filter
def strip_cut_tags(text):
'''
Strips partial tags that might have left at the end of cut html string
after the `striptags` filter.
'''
return re.sub(r'<[^>]+?(\.*)$', ' \1', text)
@register.filter
def message_t... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Dec 2 11:28:26 2020
Copyright 2020 by Hadrien Montanelli.
"""
# Standard imports:
from math import factorial, pi, sqrt
import numpy as np
from scipy.special import lpmv
def spharm(l, m):
"""Return spherical harmonic Y_{l,m}."""
if (m >=0):
... |
#-----------------------------------------------------------------------------
# Copyright (c) 2013-2022, PyInstaller Development Team.
#
# Distributed under the terms of the GNU General Public License (version 2
# or later) with exception for distributing the bootloader.
#
# The full license is in the file COPYING.txt... |
import tempfile
from mock import MagicMock, patch
def test_CommandList():
"""
Test the CommandList class
"""
from router.command import CommandList
clist = CommandList()
clist.append(20, "b")
clist.append(20, "c")
clist.append(10, "a")
commands = list(clist.commands())
asser... |
# OBSOLETE, DO NOT USE
def main():
import tbaapiv3client
import csv
TOKEN = "REPLACEME"
class Api:
def __init__(self, token):
self.token = token
#
config = tbaapiv3client.Configuration()
config.api_key["X-TBA-Auth-Key"] = self.token
... |
"""
Platform for DS-AIR of Daikin
https://www.daikin-china.com.cn/newha/products/4/19/DS-AIR/
"""
import logging
from homeassistant.config_entries import ConfigEntry
from homeassistant.const import CONF_HOST, CONF_PORT
from homeassistant.core import HomeAssistant
from .const import CONF_GW, DEFAULT_HOST, DEFAULT_PORT... |
from django.contrib import messages
from django.contrib.auth import views as auth_views
from django.contrib.auth.mixins import (
LoginRequiredMixin,
UserPassesTestMixin,
)
from django.contrib.auth.tokens import default_token_generator
from django.http import (
HttpRequest,
HttpResponse,
)
from django.sh... |
# -*- coding: utf-8 -*-
import sys
from PyQt5 import QtWidgets
from PyQt5.QtCore import pyqtSlot
from PyQt5.QtWidgets import QApplication, QTreeView
from jsonTreeView import JsonModel, final_mapping, mapping_test_old, mapping_test_new, mapping_test_select
from treeveiwUI import Ui_Form
class TreeView(QtWidgets.QWi... |
import glob
import math
import os.path
from random import sample
from unidecode import unidecode
from collections import Counter
import matplotlib.pyplot as plt
import numpy as np
#import sys
#sys.stdout = open('rez_odstavki.txt','wt')
# FUNKCIJE
def kmers(s, k): # s je beseda iz kjere terko nardimo
for ... |
# -*- coding: utf-8 -*-
"""Feature selection tools.
@authors: Lantian ZHANG
"""
import pandas as pd
import numpy as np
def selection_with_iv_corr(trans_woe, encoded_X, threshold_corr=0.6):
"""Retrun a table of each feature' IV and their highly correlated
features to help users select features.
Parameters
... |
# -*- coding: utf-8 -*-
"""
Created on Sat Dec 17 11:41:46 2016
@author: Myself
"""
from functools import wraps
from collections import namedtuple
_parameters = {}
def boundry(func):
points = func()
if points[0] != points[-1]:
try:
points.append(points[0])
except Exception:
... |
#!/usr/bin/env python3
import asyncio
import asyncpg
# import datetime
async def main(dsn='postgresql://postgres:passwd+123@localhost/test'):
# Establish a connection to an existing database named "test"
# as a "postgres" user.
conn = await asyncpg.connect(dsn)
await conn.execute('''
DROP TAB... |
import boto3
import json
# enter bucket name
BUCKET_NAME = 'new-s3-bucket-spinningops'
def s3_client():
s3 = boto3.client('s3')
return s3
def create_bucket(bucket_name):
""" creates a new s3 bucket """
return s3_client().create_bucket(
Bucket=bucket_name,
CreateBucketConfiguration=... |
# coding: utf-8
"""
@Topic:
@Date: 2021/2/1
@Author: other.z
@Copyright（C）: 2020-2023 other.z Inc. All rights reserved.
"""
import json
import functools
from custombot.core.lex.functional import *
def __get_string(value):
if isinstance(value, Scope):
return str(value)
elif isinstance(value,... |
#!/usr/bin/env python
# coding=utf-8
import json
host1ip = ['192.168.31.101']
host2ip = ['192.168.31.102','192.168.31.103']
group = 'k8s-master'
group2 = 'k8s-nodes'
hostdata = {group:{"hosts":host1ip},group2:{"hosts":host2ip}}
print (json.dumps(hostdata,indent=4))
#ansible -i test.py all -m ping -vvv |
import threading
import numpy as np
import tensorflow as tf
import pylab
import time
import gym
from keras.layers import Dense, Input
from keras.models import Model
from keras.optimizers import Adam
from keras import backend as K
# global variables for threading
episode = 0
scores = []
EPISODES = 200... |
import sys
if __name__ == "__main__":
import asamplelib.cli
sys.exit(asamplelib.cli.main()) # pragma: no cover
|
# every episode, switch the replay buffer
# train a neural network
# use a special loss function
# https://github.com/jetsnguns/realtime-policy-distillation
# https://github.com/decisionforce/ESPD
from stable_baselines.common.policies import MlpPolicy
from stable_baselines import DQN
import random
from torch import ... |
from tir import Webapp
import unittest
class ATFA012(unittest.TestCase):
@classmethod
def setUpClass(inst):
inst.oHelper = Webapp()
inst.oHelper.Setup("SIGAATF", "01/04/2016", "T1", "D MG 01 ", "01")
inst.oHelper.Program("ATFA012")
inst.oHelper.AddParameter("MV_UL... |
from typing import Callable, Dict, List, Optional
from web3 import Web3
from brownie.network.middlewares import BrownieMiddlewareABC
class TxRevertCatcherMiddleware(BrownieMiddlewareABC):
"""
Middleware to handle reverting transactions, bypasses web3 error formatting.
As of web3.py version 5.13.0, a n... |
# -*- coding: utf-8 -*-
import os
all_bins = ['expand', 'ls', 'ptx', 'sha1sum']
def get_overhead(fp):
with open(fp) as f:
ohs = eval(f.read())
return (sum(ohs[1:]) / len(ohs[1:]) / ohs[0] - 1.0) * 100
#def table_perf():
# print(' ' * 17 + ' 10 30 50 100')
# perfs = ['10', ... |
import random
import inspect
from TBC.core.Tasklet import Tasklet
class Task(Tasklet):
"""
An aggregate of one or more Tasklets
"""
def __init__(self, parent, path):
super(Task, self).__init__(parent, path)
self._tasklets = self._gather_tasklets()
self._next_tasklet = None
... |
import numpy as np
import logging, os
np.random.seed(1)
np.set_printoptions(precision=10)
try:
name = os.environ['SISFFT_LOG'].upper()
if name:
logging.basicConfig(level = getattr(logging, name))
except KeyError:
pass
# logging.basicConfig(level = logging.INFO)
|
"""Multivariate t-distribution.
Author: Gregory Gundersen 2020. Architecture based on SciPy's
`_multivariate.py` module by Joris Vankerschaver 2013.
"""
import numpy as np
from scipy._lib._util import check_random_state
from scipy.stats._multivariate import _PSD, multi_rv_generic, multi_rv_frozen
from scipy.spec... |
from chargebee.api_error import APIError,PaymentError,InvalidRequestError,OperationFailedError
from chargebee.models import *
from chargebee.main import ChargeBee
def configure(api_key, site):
ChargeBee.configure({
'api_key': api_key,
'site': site,
})
|
import random
import operator
import abc
class Gene:
def __init__(self):
return
class Individual(object):
__metaclass__ = abc.ABCMeta
__sequence = []
Fitness: int = 0
def __init__(self, sequence):
self.__sequence = sequence
return
@abc.abstractmethod
def calculate... |
from browserist import Browser
def test_get_all_window_handles(browser_default_headless_scope_function: Browser) -> None:
browser = browser_default_headless_scope_function
assert browser.window.handle.count(selenium=True) == browser.window.handle.count(selenium=False) == 1
browser.window.open.new_tab()
... |
import numpy as np
SIZE = 12
def beautify_print_matrix(A, b, format="{:3}"):
for A_i, b_i in zip(A,b):
print((" ".join([f"{format}" for i in range(len(A_i))]) + f" | {format}").format(*A_i, b_i))
def symmetric(A, b):
return A.T @ A, A.T @ b
diag_A = np.array([[ 73, -8, -1, -2, 2, -9, 3, 1, -10, ... |
from __future__ import absolute_import
import numpy as np
import matplotlib.pyplot as plt
from .. import utils
from ..config import DEFAULT_POPULATION_COLORS
class NeuroVis(object):
'''This class is used to visualize firing activity of single neurons.
This class implements several conveniences for visualiz... |
"""
This module implements the `se lint` command.
"""
import argparse
import regex
from termcolor import colored
import se
from se.se_epub import SeEpub
def lint() -> int:
"""
Entry point for `se lint`
"""
parser = argparse.ArgumentParser(description="Check for various Standard Ebooks style errors.")
parser.... |
#! /usr/bin/env python
##############################################################################
## DendroPy Phylogenetic Computing Library.
##
## Copyright 2010-2015 Jeet Sukumaran and Mark T. Holder.
## All rights reserved.
##
## See "LICENSE.rst" for terms and conditions of usage.
##
## If you use this wo... |
# -*- coding: utf-8 -*-
import os
import numpy as np
import argparse
import logging
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
from index import extract_feat
try:
import cPickle as pickle
except:
import pickle
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)
... |
import os
from flask import make_response
from flask import request
from flask_restful import Resource
from .common_rest import RestCommon
from fields import ADMIN_TOKEN_FIELD_NAME
class Logs(Resource):
def __init__(self, rest_helper: RestCommon, log_dir: str = "../logs/"):
super().__init__()
se... |
def build_empirical_cov(kdiffs,kcoadds,wins,mask,lmins,lmaxs,
anisotropic_pairs,do_radial_fit,save_fn,
signal_bin_width=None,
signal_interp_order=0,
delta_ell=400,
rfit_lmaxes=None,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.