content stringlengths 5 1.05M |
|---|
import os
import numpy as np
import argparse
from sklearn.model_selection import StratifiedKFold
#from data.image_folder import make_dataset
#from tensorflow.keras.preprocessing.image import ImageDataGenerator
import tensorflow as tf
import json
import pandas as pd
import numpy as np
import os, sys
import glob
import... |
# Return some system information
# Because the universe will never have enough scripts that do this
# It's only going to work on fairly recent *NIX platforms
import os, socket
uname_ = os.uname()
system = uname_[0]
host = socket.gethostname()
kernel = uname_[2]
release = uname_[3]
processor = uname_[4]
|
## Copyright 2004-2007 Virtutech AB
##
## The contents herein are Source Code which are a subset of Licensed
## Software pursuant to the terms of the Virtutech Simics Software
## License Agreement (the "Agreement"), and are being distributed under
## the Agreement. You should have received a copy of the Agreem... |
import numpy as np
from sklearn.ensemble import RandomForestRegressor
from sklearn.externals import joblib
sgids = joblib.load('sgids.pkl')
sgdiv = joblib.load('data/sg_div_tr_ns.pkl')
params = joblib.load('params.pkl')
dt = dict.fromkeys(sgids)
sgid = sgids[0]
for i, sgid in enumerate(sgids):
print(f'{sgid} ({i... |
#-*-coding utf-8 -*-
#Affine Transformation
import numpy as np
import cv2
from matplotlib import pyplot as plt
img=cv2.imread('resimler/sudoku.png')
rows,cols,ch=img.shape
pts1 = np.float32([[50,50],[200,50],[50,200]])
pts2=np.float32([[10,100],[200,50],[100,250]])
M = cv2.getAffineTransform(pts1,pts2)
... |
# /usr/bin/env python3
# -*- coding: utf-8 -*-
"""
This file contains the implementation to the HTTP server that serves
the web API for the Serial port.
"""
import logging
import threading
import typing as t
import flask
import flask_restful
import waitress
from flask_cors import CORS
from . import connection # fo... |
"""
Version information for PyBioMed, created during installation.
Do not add this file to the repository.
"""
import datetime
version = '1.0'
date = 'Nov 7 9:17:16 2016'
dev = False
# Format: (name, major, min, revision)
version_info = ('PyBioMed', '1', '0', None)
# Format: a 'datetime.datetime' instance
date_i... |
#!/usr/bin/python
# -*- coding: UTF-8 -*-
import requests
import os
import zipfile
import urllib
import dirconfig
import logging
from autobuild import autobuild,git_pull
import commands
import os
from githubdownload import GithubDownload
from repositories import repositories
from ziptool import ZipTool
logging.basi... |
"""
Unit test for LocalProcessMemoryConsumption measurement.
"""
import os
import time
import pytest
import threading
import subprocess
from mlte._private.platform import is_windows, is_nix
from mlte.measurement.memory import LocalProcessMemoryConsumption
from mlte.measurement.memory.local_process_memory_consumption ... |
from .emonet import EmoNetPredictor
__version__ = '0.1.0'
|
"""Utilities for building command-line interfaces for your daemons"""
import inspect
from functools import wraps
import click
from .core import Daemon
from .helpers import MultiDaemon
def _parse_cli_options(func):
"""Parse click options from a function signature"""
options = []
for param in inspect.sig... |
"""This module provide multiple test of ingestion services"""
import logging
from conftest import ValueStorage
import time
from server_automation.configuration import config
from server_automation.functions import executors
from server_automation.postgress import postgress_adapter
_log = logging.getLogger("server_auto... |
import jax
from absl import app
from absl import flags
flags.DEFINE_string('server_addr', '', help='server ip addr')
flags.DEFINE_integer('num_hosts', 1, help='num of hosts' )
flags.DEFINE_integer('host_idx', 0, help='index of current host' )
FLAGS = flags.FLAGS
def main(argv):
jax.distributed.initialize(FLAGS.ser... |
"""
This script prepares the files that populate the databases, such as adding headers
to them and removing a couple of noun phrases that do not belong there.
"""
def prepare_data(file):
"""
Prepares the argument file for SQL insertion
"""
with open(file, 'r', encoding='utf-8') as infile:
inf... |
#
# This file is part of Brazil Data Cube Validation Tools.
# Copyright (C) 2020 INPE.
#
# Python Native
import os
import time
import sys
# 3rdparty
import gdal
import numpy as np
def diff_sum_abs(image_path1,image_path2, output_folder):
'''
documentar para sair automaticamente
'''
# get o stk de banda... |
from django import forms
class LoginForm(forms.Form):
email = forms.EmailField(required = True, error_messages = {"required": "邮箱不能为空"})
password = forms.CharField(required = True, min_length = 6, max_length = 20, error_messages={
"min_length": "密码应该大于等于6个字符",
"max_length": "密码应该小于等于20个字符",
})
class Registe... |
'''
This code is for head detection for PAN.
'''
import torch
import torch.nn as nn
import math
__all__ = ['PA_Head']
class PA_Head(nn.Module):
def __init__(self, in_channels, hidden_dim, num_classes):
super(PA_Head, self).__init__()
self.conv1 = nn.Conv2d(in_channels, hidden_dim, kernel_size=3, s... |
#!/usr/bin/python
# -*- coding: UTF-8 -*-
#
# Copyright 2011 Google Inc. 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... |
import os
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
SECRET_KEY = "0xdeadbeefdeadbeef"
DEBUG = True
INSTALLED_APPS = [
"django_jsonfield_backport",
"tests",
]
DATABASES = {
"default": {
"ENGINE": "django.db.backends.%s" % os.getenv("DB_BACKEND"),
"NAME": os.get... |
# Given a linked list which might contain a loop, implement an algorithm that returns the node at the beginning of the loop (if one exists)
from utils import Node
first_node = Node(1)
second_node = Node(2)
third_node = Node(3)
fourth_node = Node(4)
fifth_node = Node(5)
sixth_node = Node(6)
# Visual [1, 2, 3, 4, 5, ... |
#!/usr/bin/env python
# Plots Sigmoid vs. Probit.
import matplotlib.pyplot as pl
import numpy as np
from scipy.special import expit
from scipy.stats import norm
x = np.arange(-6, 6, 0.1)
l = np.sqrt(np.pi/8);
pl.plot(x, expit(x), 'r-', label='sigmoid')
pl.plot(x, norm.cdf(l*x), 'b--', label='probit')
pl.axis([-6, ... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
from PySide6 import QtCore, QtWidgets
class MyWidget(QtWidgets.QWidget):
def __init__(self):
super().__init__()
self.text = QtWidgets.QLabel("Hello World", alignment=QtCore.Qt.AlignCenter)
self.layout = QtWidgets.QVBoxLayout(self)... |
# Author: Bohua Zhan
import unittest
from kernel.type import boolT, TVar, TFun
from kernel.term import Term, Var
from kernel.thm import Thm
from kernel.proof import ProofItem
from logic.proofterm import ProofTerm, ProofTermAtom
from logic import basic
from logic.logic import conj, disj, mk_if
from logic.nat import na... |
# -*- coding: utf-8 -*- #
# Copyright 2021 Google Inc. 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 requir... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Sep 27 18:11:58 2021
@author: TSAI, TUNG-CHEN
@update: 2021/10/05
"""
import numpy as np
from .nn import get_network
from .utils import get_inputs, print_prediction
# =============================================================================
#
# =... |
"""Mock callback module to support device and state testing."""
import logging
_LOGGER = logging.getLogger(__name__)
# pylint: disable=unused-argument
# pylint: disable=too-many-instance-attributes
class MockCallbacks():
"""Mock callback class to support device and state testing."""
def __init__(self):
... |
# This file will grab the hashes from the file generation and compare them to
# hashes gotten from user-given files. Can return positive (files that do match)
# or negative (files that don't match) hash results
import argparse
import os
import sys
from file_object import FileObject
def log_and_print(log_file... |
'''
Get the hottest news title on baidu page,
then save these data into mysql
'''
import datetime
import pymysql
from pyquery import PyQuery as pq
import requests
from requests.exceptions import ConnectionError
URL = 'https://www.baidu.com/s?wd=%E7%83%AD%E7%82%B9'
headers = {
'User-Agent':'Mozilla/5.0 (Windows NT... |
'''1. 游戏编程：按以下要求定义一个乌龟类和鱼类并尝试编写游戏。
（初学者不一定可以完整实现，但请务必先自己动手，你会从中学习到很多知识的^_^）
假设游戏场景为范围（x, y）为0<=x<=10，0<=y<=10
游戏生成1只乌龟和10条鱼
它们的移动方向均随机
乌龟的最大移动能力是2（Ta可以随机选择1还是2移动），鱼儿的最大移动能力是1
当移动到场景边缘，自动向反方向移动
乌龟初始化体力为100（上限）
乌龟每移动一次，体力消耗1
当乌龟和鱼坐标重叠，乌龟吃掉鱼，乌龟体力增加20
鱼暂不计算体力
当乌龟体力值为0（挂掉）或者鱼儿的数量为0游戏结束
'''
import random... |
salario = float(input('Qual é o salário do Funcionário? R$'))
aumentoSalario = salario + (salario * (5 / 100))
print(f'Um funcionário que ganhava R${salario:.2f}, com 15% de aumento, passa a receber R${aumentoSalario:.2f}') |
import bs4 # type: ignore[import]
from .activity import _parse_subtitles, _parse_caption, _is_location_api_link
# bring into scope
from .comment import test_parse_html_comment_file # noqa: F401
from .html_time_utils import test_parse_dt # noqa: F401
def bs4_div(html: str) -> bs4.element.Tag:
tag = bs4.Beauti... |
from __future__ import print_function
from __future__ import unicode_literals
from __future__ import division
from __future__ import absolute_import
import unittest
import pytest
from builtins import open
from future import standard_library
#standard_library.install_aliases()
from builtins import *
from freezegun imp... |
from PIL import ImageGrab
from PIL import BmpImagePlugin
from aip import AipOcr
from win10toast import ToastNotifier
import sys, os
import keyboard
import time, datetime
import random
from os import path
from multiprocessing.dummy import Pool as ThreadPool
PIC_DIR = r"C:\Users\hytian3019\Pictures\ocr"
#百度云账号设置
APP_... |
"""
targetstateinfidelity.py - This module defines a cost function that
penalizes the infidelity of an evolved state and a target state.
"""
import autograd.numpy as anp
import numpy as np
from qoc.models import Cost
from qoc.standard.functions import conjugate_transpose
class TargetStateInfidelity(Cost):
"""
... |
#Micro codes for checking the Pandas
# Read CSV in chunks
data_read = pd.read_csv('Filename.csv',chunksize=x,encoding = "any encoding format for eg :ISO-8859-1")
data = pd.concat(data_read,ignore_index=True)
# Split the dataframe based on the numeric and categorical values
# Numeric Split
clean... |
import numpy as np
import tensorflow as tf
class Weights:
def __init__(self, initializer, depth):
self.initializer = initializer
self.depth = depth
def __call__(self, num_inputs, num_outputs):
x = tf.Variable(self.initializer(shape=(num_inputs, self.depth)))
y = tf.Variable(... |
#!/usr/bin/env python3
# ============================================================================================= #
# Distributed dynamic map fusion via federated learning for intelligent networked vehicles, #
# 2021 International Conference on Robotics and Automation (ICRA) #
# ... |
import argparse
import csv
import torch
import torch.nn as nn
import torch.nn.functional as F
#from models.gatedconv import InpaintGCNet, InpaintDirciminator
from models.sa_gan import InpaintSANet, InpaintSADirciminator
from models.loss import SNDisLoss, SNGenLoss, ReconLoss
from data.inpaint_dataset import InpaintData... |
from flask import Flask,jsonify,request
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy import Column,Integer,Float,String
import os
from flask_marshmallow import Marshmallow
from flask_jwt_extended import JWTManager,jwt_required,create_access_token
from flask_mail import Mail,Message
app=Flask(__name__)
based... |
# -*- coding: utf-8 -*-
import numpy as np
from math import factorial, exp, trunc
from linear_congruential_generator import LinearCongruentialGenerator
lcg = LinearCongruentialGenerator()
def poisson(lambda_value, random_number):
return round(((lambda_value ** random_number) * (np.e ** (-lambda_value))) / factor... |
import rclpy
from rclpy.node import Node
import numpy as np
from .handeye_4dof import Calibrator4DOF, robot_pose_selector
from .handeye_4dof import transformations as tf
from geometry_msgs.msg import PoseArray
from geometry_msgs.msg import Pose
from std_srvs.srv import Empty
from ament_index_python.packages import g... |
# Copyright 2018 Amazon.com, Inc. or its affiliates. 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.
# A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in ... |
from __future__ import unicode_literals
import os
import json
from functools import wraps
from datetime import datetime, date
from contextlib import contextmanager
from threading import RLock, Condition, current_thread
from collections import Sized, Iterable, Mapping, defaultdict
def is_listy(x):
"""
returns ... |
"""
Copyright (c) 2020 COTOBA DESIGN, Inc.
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 rights to use, copy, modify, merge, publish, distri... |
from dataclasses import dataclass, field
import backtrader as bt
from models.Analyzers.CustomReturns import CustomReturns_analyzer
from models.Analyzers.ReturnsVolatility import ReturnsVolatility_analyzer
from models.Analyzers.TradesInfo import TradesInfo_analyzer
from models.Analyzers.CalmarRatio import CalmarRatio_a... |
def unorder_search(item, items: list):
if not isinstance(items, list):
print(f'The items {items} MUST be of type list')
return
for i in range(0, len(items)):
if item == items[i]:
return i
return None
data = [87, 47, 23, 53, 20, 56, 6, 19, 8, 41]
print(unorder_search... |
# -*- coding: utf-8 -*-
import re
from xkeysnail.transform import *
define_keymap(lambda wm_class: wm_class != 'Gnome-terminal', {
K('LSuper-V'): K('C-V'),
K('LSuper-X'): K('C-X'),
K('LSuper-C'): K('C-C'),
K('LSuper-A'): K('C-A')
}, 'non-terminal')
define_keymap(re.compile('Gnome-terminal'), {
K(... |
# -*- coding: utf-8 -*-
"""
Created on Thu Apr 2 14:24:56 2020
@author: rucha
"""
import pandas as pd
import numpy as np
from sklearn.naive_bayes import MultinomialNB
from sklearn.model_selection import train_test_split, cross_val_score
from sklearn.metrics import confusion_matrix, accuracy_score, classification_rep... |
from django.contrib import admin
from django import forms
from django.db import models
from django.utils.translation import ugettext as _
from medicament.models import *
class GroupAdmin(admin.ModelAdmin):
fieldsets = [(None, {'fields': ['name', 'adverse_reaction']})]
list_display = ('name', 'adverse_reactio... |
from setuptools import setup
from distutils.util import convert_path
from os import path
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
main_ns = {}
ver_path = convert_path('betacal/version.py')
with open(... |
# Accept three subject marks and display % marks.
m1 = float(input("Enter marks 1.: "))
m2 = float(input("Enter marks 2: "))
m3 = float(input("Enter marks 3: "))
percent = (m1+m2+m3)/3
print("% marks", percent)
|
class ReturnValue(object):
"""\brief Container for a return value for a daemon task or command. If the
the code is set to 0 the operation succeeded and the return value is
available. Any other code indicates an error.
[NOTE: we need to define other values, ala HTTP]
"""... |
# This example shows how to train a built in DQN model to play CartPole-v0.
# Example usage:
# python -m example.cartpole.train_dqn
# --- built in ---
import time
import json
# --- 3rd party ---
import gym
import tensorflow as tf
# run on cpu
tf.config.set_visible_devices([], 'GPU')
# --- my module ---
import unst... |
#
# General Electricity sector Decarbonization Model (GEDM)
# Copyright (C) 2020 Cheng-Ta Chu.
# Licensed under the MIT License (see LICENSE file).
#
# Module note:
# Functions to initialize instance settings
#
#----------------------------------------------------
# sets
#---------------------------------------------... |
from email import header
from multimethod import distance
import scipy
from scipy.signal import find_peaks as scipy_find
from core.preprocessing import read_data
from scipy.signal._peak_finding_utils import _local_maxima_1d
from scipy.signal._peak_finding import _arg_x_as_expected
from utils.visualize import see_spec... |
# <auto-generated>
# This code was generated by the UnitCodeGenerator tool
#
# Changes to this file will be lost if the code is regenerated
# </auto-generated>
import unittest
import units.pressure.pascals
class TestPascalsMethods(unittest.TestCase):
def test_convert_known_pascals_to_atmospheres(self):
self.asser... |
from binaryninja import *
from pathlib import Path
import hashlib
import os
import subprocess
class Decompiler(BackgroundTaskThread):
def __init__(self,file_name,current_path):
self.progress_banner = f"[Ghinja] Running the decompiler job ... Ghinja decompiler output not available until finished."
B... |
# coding: utf8
from __future__ import unicode_literals
from ..norm_exceptions import BASE_NORMS
from ...attrs import NORM
from ...attrs import LIKE_NUM
from ...util import add_lookups
_stem_suffixes = [
["ो","े","ू","ु","ी","ि","ा"],
["कर","ाओ","िए","ाई","ाए","ने","नी","ना","ते","ीं","ती","ता","ाँ",... |
from rpasdt.common.enums import StringChoiceEnum
class NodeAttributeEnum(StringChoiceEnum):
"""Available node attributes."""
COLOR = "COLOR"
SIZE = "SIZE"
EXTRA_LABEL = "EXTRA_LABEL"
LABEL = "LABEL"
SOURCE = "SOURCE"
class DistanceMeasureOptionEnum(StringChoiceEnum):
pass
NETWORK_OPTI... |
"""ProtocolEngine tests module."""
|
# -*- coding: utf-8 -*-
import logging
import requests
from bs4 import BeautifulSoup
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger('wb')
class Client:
def __init__(self):
self.session = requests.Session()
self.session.headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Wi... |
import json
import os
from pathlib import Path
from time import sleep
from tqdm import tqdm
from ..graph.models import Concept, Work
from ..utils import get_logger
from . import get_concepts_es_client
from .format import (
format_concept_for_elasticsearch,
format_story_for_elasticsearch,
format_work_for_e... |
# ex_sin.py
# author: C.F.Kwok
# date: 2018-1-5
from simp_py import tft
from math import sin, radians
import time
class SIN:
global tft
def __init__(self):
self.init_plot()
tft.tft.clear()
def run(self):
global sin, radians
ang=0
for x in range(320):
... |
from django import forms
class ModelMultiValueWidget(forms.MultiWidget):
def __init__(self, *args, **kwargs):
self.model = kwargs.pop('model')
self.labels = kwargs.pop('labels', [None])
self.field_names = kwargs.pop('field_names', [None])
super(ModelMultiValueWidget, self).__init__... |
import atexit
import subprocess
from multimedia.constants import AUDIO_OUTPUT_ANALOG, KEY_DOWN_ARROW, KEY_LEFT_ARROW, KEY_RIGHT_ARROW, KEY_UP_ARROW
from multimedia.functions import exit_process_send_keystroke, popen_and_wait_for_exit, send_keytroke_to_process
from multimedia.playerhandler import PlayerHandler
class O... |
# -*- coding: utf-8 -
#
# This file is part of tproxy released under the MIT license.
# See the NOTICE for more information.
version_info = (0, 5, 4)
__version__ = ".".join(map(str, version_info))
|
''' Calculates the Frechet Inception Distance (FID) to evalulate GANs or
other image generating functions.
The FID metric calculates the distance between two distributions of images.
Typically, we have summary statistics (mean & covariance matrix) of one
of these distributions, while the 2nd distribution is given by a... |
# Copyright (c) 2014 Scality
#
# 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 to in writing, s... |
from .convunet import unet
from .dilatedunet import dilated_unet
from .dilateddensenet import dilated_densenet, dilated_densenet2, dilated_densenet3
|
import mlflow.pyfunc
class Model(mlflow.pyfunc.PythonModel):
"""
Abstract class representing an MLFlow model.
Methods:
fit
predict
validate
register
download
Attrs:
"""
def __init__():
self.base_model = init_BaseModel()
def fit(... |
# coding: utf-8
from __future__ import unicode_literals
import re
from .common import InfoExtractor
class TeleBruxellesIE(InfoExtractor):
_VALID_URL = (
r"https?://(?:www\.)?(?:telebruxelles|bx1)\.be/(?:[^/]+/)*(?P<id>[^/#?]+)"
)
_TESTS = [
{
"url": "http://bx1.be/news/que-ri... |
from setuptools import setup, find_packages
import sys
import os.path
import numpy as np
# Must be one line or PyPI will cut it off
DESC = ("A colormap tool")
LONG_DESC = open("README.rst").read()
setup(
name="viscm",
version="0.9",
description=DESC,
long_description=LONG_DESC,
author="Nathaniel... |
# -*- coding: utf-8 -*-
import llbc
class pyllbcProperty(object):
"""
pyllbc property class encapsulation.
property can read & write .cfg format file.
file format:
path.to.name = value # The comments
path.to.anotherName = \#\#\# anotherValue \#\#\# # The comments too
Property clas... |
# -*- coding: utf-8 -*-
"""
@author: Fredrik Wahlberg <fredrik.wahlberg@it.uu.se>
"""
import numpy as np
import random
from sklearn.base import BaseEstimator, ClassifierMixin
from scipy.optimize import fmin_l_bfgs_b
from sklearn.gaussian_process.gpc import _BinaryGaussianProcessClassifierLaplace as BinaryGPC
from skle... |
# Copyright (c) 2018 Ultimaker B.V.
# Cura is released under the terms of the LGPLv3 or higher.
from typing import Optional, List
from PyQt5.QtCore import pyqtProperty, pyqtSignal, pyqtSlot, QObject
from UM.Logger import Logger
from UM.Preferences import Preferences
from UM.Resources import Resources
from UM.i18n i... |
import numpy as np
from utils import resize, opt
from skimage import morphology
def find_focal_points(image, scope='local', maxima_areas='large', local_maxima_threshold=None, num_points=None):
"""
Finds the 'focal_points' of a model, given a low resolution CAM. Has two modes: a 'local' scope and a 'global' on... |
# -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸 (Blueking) available.
Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in compliance with the License.
You may... |
from core import views
from django.urls import path
urlpatterns = [
path('user/', views.UserListView.as_view()),
path('user/<username>/', views.UserDetailView.as_view()),
path('wallet/', views.WalletListView.as_view()),
path('subacc/', views.SubAccountListView.as_view()),
path('subacc/<sub_address... |
from math import gcd
from functools import reduce
def fun(a):
return reduce(gcd,a)
for i in range(int(input())):
n = int(input())
a = list(set([int(j) for j in input().split()]))
if(len(a)==1):
print(a[0]+a[0])
else:
b = max(a)
a.remove(b)
m = b+fun(a)
c = m... |
OTHER_METAl_TYPE = {
'chromium':True,
'kanthal':False,
'solder':False,
'aluminium_steel':True,
'weak_aluminium_steel':False,
'bismuth_steel':True,
'weak_bismuth_steel':False,
'damascus_steel':True,
'weak_damascus_steel':False,
'stainless_steel':False,
'weak_stainless_steel':False,
'rose_alloy':F... |
# coding:utf-8
from .util import *
from .abstract_predictor import AbstractPredictor
from .average_predictor import AveragePredictor
from .average_predictor_without_outliers import AveragePredictorWithoutOutliers
from .average_predictor_without_outliers2 import AveragePredictorWithoutOutliers2
from .average_predictor_... |
import os
import uuid
class CommitTreeToScriptConverter:
def __init__(self, skip_single_child_nodes, post_conversion_commands, script_file):
self.skip_single_child_nodes = skip_single_child_nodes
self.post_conversion_commands = post_conversion_commands
self.print_debug = False
self... |
class Queue(object):
def __init__(self):
self.q = []
def push(self, value):
self.q.insert(0, value)
def pop(self):
return self.q.pop()
def is_empty(self):
return self.q == []
def size(self):
return len(self.q)
# Example
q = Queue()
q.push(1... |
import os
from datetime import datetime, timedelta
import pytz
import requests
from google.transit import gtfs_realtime_pb2
GTFS_API_KEY = os.environ.get('TRANSPORT_NSW_API_KEY')
GTFS_REALTIME_URL = 'https://api.transport.nsw.gov.au/v1/gtfs/realtime/buses/'
GTFS_VEHICLE_URL = 'https://api.transport.nsw.gov.au/v1/gtf... |
# Generated by Django 3.0.6 on 2020-05-25 01:42
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('sme_management', '0008_auto_20200525_0113'),
]
operations = [
migrations.AlterField(
model_name='smeproject',
name='... |
"""Build an online book using Jupyter Notebooks and Jekyll."""
from pathlib import Path
import os
# Load the version from the template Jupyter Book repository config
path_file = Path(__file__)
path_yml = path_file.parent.joinpath('book_template', '_config.yml')
# Read in the version *without* pyyaml because we can't ... |
# importing forms
from django import forms
from messenger.models import Message
from newsletter.models import *
class MessageForm(forms.ModelForm):
OPTIONS = (('Y', 'Yes'),
('N', 'No'),)
is_encrypted = forms.ChoiceField(required=True, choices=OPTIONS, help_text="Encrypt this message?")
mess... |
# -*- coding: utf-8 -*-
# Generated by Django 1.9.7 on 2017-08-16 09:01
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('program_manage', '0001_initial'),
]
operations = [
migrations.AlterField(
... |
class Shark:
animal_type = "fish"
location = "ocean"
followers = 5
def __init__(self, name, age):
self.name = name
self.age = age
s1 = Shark("Frederick", 12)
s2 = Shark("Nicholas", "10")
print("\n>>> Shark 1 <<<")
print("Name:", s1.name)
print("Age:", s1.age)
print("Type:", s1.ani... |
import requests
import os
from core.client import TweepyClient, OpenaiClient
BEARER_TOKEN = ""
API_SECRET_KEY = ""
CLIENT_SECRET = ""
API_KEY = ""
CLIENT_KEY = ""
OPENAI_KEY = ""
def bearer_oauth(r):
# To set your environment variables in your terminal run the following line:
# export 'BEARER_TOKEN'='<your_bea... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.contrib import admin
from .models import Category, Choice, BallotPaper
class ChoiceInline(admin.TabularInline):
model = Choice
extra = 3
class CategoryAdmin(admin.ModelAdmin):
readonly_fields = ('ballot_paper', 'category_name', 'created... |
import torch
import torch.nn as nn
import torch.nn.functional as F
class CTLSTMCell(nn.Module):
def __init__(self, hidden_dim, beta=1.0, device=None):
super(CTLSTMCell, self).__init__()
device = device or 'cpu'
self.device = torch.device(device)
self.hidden_dim = hidden_dim
... |
"""tools."""
from collections import OrderedDict
import yaml
def ordered_yaml_load(filepath, loader=yaml.Loader,
object_pairs_hook=OrderedDict):
"""ordered_yaml_load."""
class OrderedLoader(loader):
"""OrderedLoader."""
def construct_mapping(loader, node):
"""cons... |
from .hankify_pw import hanky_pass # noqa
|
from django import template
from ..forms.widgets import LikertSelect, RatingSelect
register = template.Library()
@register.filter
def is_likert(field):
return isinstance(field.field.widget, LikertSelect)
@register.filter
def is_rating(field):
return isinstance(field.field.widget, RatingSelect)
|
picture = [
[0,0,0,1,0,0,0],
[0,0,1,1,1,0,0],
[0,1,1,1,1,1,0],
[1,1,1,1,1,1,1],
[0,0,0,1,0,0,0],
[0,0,0,1,0,0,0]
]
for row in range(len(picture)):
for col in range(len(picture[row])):
if picture[row][col] == 1:
print('*', end = '')
else:
print(' ', end = ''... |
import socket
from threading import Thread, Lock
import sys
def receiver(sock):
while flag:
data = sock.recv(1024)
if data == 'quit':
sys.exit(0)
print "\t\t"+data
host = '192.168.122.1'
port = 50020
size = 1024
flag = True
sock = socket.socket(socket.AF_INET,socket.SOCK_STREAM)
sock.connect((host,port))
hop ... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# pass1objects.py
#
# Part of MARK II project. For informations about license, please
# see file /LICENSE .
#
# author: Vladislav Mlejnecký
# email: v.mlejnecky@seznam.cz
from common import *
class item():
def __init__(self, parrent, address):
self.address... |
from __future__ import unicode_literals
SEQUENCE = [
'bugzilla_url_charfield',
'repository_raw_file_url',
'repository_visible',
'repository_path_length_255',
'localsite',
'repository_access_control',
'group_site',
'repository_hosting_accounts',
'repository_extra_data_null',
'un... |
_version='2022.0.1.dev8'
|
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