content stringlengths 0 894k | type stringclasses 2
values |
|---|---|
from uwsgidecorators import *
import gevent
@spool
def longtask(*args):
print args
return uwsgi.SPOOL_OK
def level2():
longtask.spool(foo='bar',test1='test2')
def level1():
gevent.spawn(level2)
def application(environ, start_response):
start_response('200 OK', [('Content-Type', 'text/html')])
... | python |
st=input("Enter String")
r=st.split(" ")
l=[]
s=" "
for i in r:
d=list(i)
if d[0]=='i' or d[0]=='o':
for ele in d:
s=s+ele
l.append(s)
s=" "
vowel=" ".join(l)
print(vowel)
| python |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import secrets
import sys
import tempfile
import time
import boto3
import bottle
import sqlalchemy as db
import common.auth as _auth
import co... | python |
import jax.numpy as jnp
from jax import jit
from onnx_jax.handlers.backend_handler import BackendHandler
from onnx_jax.handlers.handler import onnx_op
from onnx_jax.pb_wrapper import OnnxNode
@onnx_op("Less")
class Less(BackendHandler):
@classmethod
def _common(cls, node: OnnxNode, **kwargs):
@jit
... | python |
from flask import Flask, jsonify, request, render_template, flash, redirect, url_for
from flask_cors import CORS
import subprocess
from subprocess import Popen, PIPE
from subprocess import check_output
import pandas as pd
import pickle
import sklearn
import numpy as np
from PIL import Image
import os
from werkzeug.util... | python |
# This File Will Loop execute.
from machine import Pin
import time
LED = Pin(18, Pin.OUT) # Set Running Led
# Python and WebDAV cross, which leads to the Python sequence is not stable.
# So You Can Switch Python and WebDAV through external Button to stable execute.
Button = Pin(27, Pin.IN)
while 0 == Button.value():... | python |
from .utils import *
Any = Var(annotation=typing.Any)
AnyList = Var(annotation=list)
Int = Var(annotation=int)
Float = Var(annotation=float)
Str = Var(annotation=str)
Array = Var(annotation=np.ndarray, name='Array')
ArrayList = Var(annotation=TList[Array], name='ArrayList')
FloatDict = Var(annotation=TDict[str, float]... | python |
while True:
try:
a=input()
except EOFError:
break
except KeyboardInterrupt:
break
print(a)
| python |
import logging
import numpy as np
import pandas as pd
import pytest
import calc # noqa
from const import ProdStatRange
from schemas import ProductionWellSet
from tests.utils import MockAsyncDispatch
from util.pd import validate_required_columns
logger = logging.getLogger(__name__)
@pytest.fixture(scope="session")... | python |
import glob
import matplotlib.image as mpimg
import os.path
from davg.lanefinding.Pipeline import Pipeline
def demonstrate_lane_finding_on_test_images(data):
pipeline = Pipeline()
for idx in range(len(data)):
# Read in a test image
img = mpimg.imread(data[idx])
# Process it
... | python |
import argparse
import os
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.optim as optim
import torch.utils.data
import torch.nn.functional as F
import time
from dataloader import KITTILoader as DA
import utils.logger as logger
import models.anynet
parser = argparse.ArgumentParser(description... | python |
import os
import logging
from typing import Dict, Tuple
from .read import AppDataReader
from .fstprocessor import FSTDirectory, FSTFile
from ... import utils
_logger = logging.getLogger(__name__)
class AppExtractor:
def __init__(self, fst_entries: Tuple[Dict[str, FSTDirectory], Dict[str, FSTFile]]):
se... | python |
"""
vtelem - A module for basic frame interfaces.
"""
# built-in
import math
from typing import Any, Dict, Tuple
# internal
from vtelem.classes.byte_buffer import ByteBuffer
from vtelem.classes.type_primitive import TypePrimitive, new_default
from vtelem.enums.primitive import random_integer
FRAME_OVERHEAD = new_def... | python |
#####################################################################################
#
# Copyright (c) Microsoft Corporation. All rights reserved.
#
# This source code is subject to terms and conditions of the Microsoft Public License. A
# copy of the license can be found in the License.html file at the root of this... | python |
import source
import rssfeeds
from flask import Flask
app = Flask(__name__)
# Server test route
@app.route('/hello')
def hello_world():
return 'Hello, multiverse!'
# Server main route
@app.route('/')
def display_urls():
test_response = "\n*** START ***\n"
# Read the source file
feed_urls = sourc... | python |
# Copyright 2013 Cloudera Inc.
#
# 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... | python |
from kivy.app import App
from kivy.uix.widget import Widget
from color_util import get_normalized_color
from Chessboard import Chessboard, Color, Square
class ChessGame(Widget):
def on_touch_down(self, touch):
return
class ChessApp(App):
def build(self):
game = ChessGame()
return ga... | python |
# -*- coding: utf-8 -*-
"""Implentation of command `/logs`.
"""
from docker_utils import (
ContainerSelector,
DockerCommand
)
class Logs(DockerCommand):
"""Implementation of command `/start`.
"""
__HELP__ = """▪️ Usage: `/logs CONTAINER`:
Shows logs of a container."""
LOG_LINES_TO_FETCH: int... | python |
"""Test searching volume content."""
from itertools import repeat
from random import randrange
import json
from django.test import TestCase, Client
from django.test import RequestFactory
from django.urls import reverse
from apps.users.tests.factories import UserFactory
from ...iiif.manifests.tests.factories import Mani... | python |
from pyliterature import Pyliterature
urls = [
'http://science.sciencemag.org/content/355/6320/49.full',
'http://www.nature.com/nature/journal/v541/n7635/full/nature20782.html',
'http://www.sciencedirect.com/science/article/pii/S1751616116301138',
'http://pubs.acs.org/doi/full/10.1021/acscatal.6b029... | python |
class Simple:
def hello(self):
return 'Hello'
def world(self):
return 'world!'
def hello_world(self):
return '%s %s' % (self.hello(), self.world())
| python |
import json
f = open('./config.json')
config = json.load(f)
print(config['URL'])
for k, v in config.items() :
print(k, ":", v)
| python |
import socket
print(socket.gethostbyaddr("8.8.8.8"))
print(socket.gethostbyname("www.google.com"))
| python |
"""Sokoban environments."""
import random
import numpy as np
from gym_sokoban.envs import sokoban_env_fast
from alpacka.envs import base
class Sokoban(sokoban_env_fast.SokobanEnvFast, base.ModelEnv):
"""Sokoban with state clone/restore and returning a "solved" flag.
Returns observations in one-hot encodin... | python |
from registration.models import Events, Registration
from rest_framework import serializers
class EventListSerializer(serializers.HyperlinkedModelSerializer):
has_users = serializers.SerializerMethodField()
class Meta:
model = Events
fields = ['title', 'text', 'date', 'has_users']
def ge... | python |
from __future__ import print_function
from pipelineWrapper import PipelineWrapperBuilder
import logging
import os
import yaml
logging.basicConfig(level=logging.INFO)
log = logging.getLogger()
desc = """UCSC Precision Immuno pipeline"""
config = ("""patients:
{sample_name}:
tumor_dna_fastq_1 : {tumor_dn... | python |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.4 on 2017-05-12 05:48
from __future__ import unicode_literals
import datetime
from django.db import migrations, models
from django.utils.timezone import utc
class Migration(migrations.Migration):
dependencies = [
('trans', '0003_auto_20170512_0537'),
... | python |
# Generated by Django 2.2.6 on 2019-10-28 21:28
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('base', '0021_delete_pnotes'),
]
operations = [
migrations.AlterField(
model_name='note',
name='modified',
... | python |
"""
This file is based on the code from https://github.com/pytorch/vision/blob/master/torchvision/datasets/folder.py.
"""
from torchvision.datasets.vision import VisionDataset
import torch
import torch.utils.data as data
import torchvision.transforms as transforms
from PIL import Image
import os
import os.path
impor... | python |
# <Copyright 2022, Argo AI, LLC. Released under the MIT license.>
"""Geometric utilities for manipulation point clouds, rigid objects, and vector geometry."""
from typing import Tuple, Union
import numpy as np
from scipy.spatial.transform import Rotation
from av2.utils.constants import PI
from av2.utils.typing impo... | python |
# Generated by Django 3.0.7 on 2020-07-28 14:00
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('disdata', '0028_auto_20200728_0924'),
]
operations = [
migrations.AlterField(
model_name='disease',
name='vaccinatio... | python |
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import unicode_literals
import functools
import logging
import threading
import re
import uuid
import tenacity
from past.builtins import xrange
from tenacity import (after_log, retry_if_exception,
stop_after_attempt, ... | python |
# -*- coding: utf-8 -*-
import astropy.units as u
import numpy as np
import os.path
import astropy.io.fits as fits
import numbers
from operator import itemgetter
import scipy.interpolate
import scipy.optimize
class OpticalSystem(object):
"""Optical System class template
This class contains al... | python |
# Copyright (c) ACSONE SA/NV 2018
# Distributed under the MIT License (http://opensource.org/licenses/MIT).
import logging
from ..router import router
from ..tasks.main_branch_bot import main_branch_bot
from ..version_branch import is_main_branch_bot_branch
_logger = logging.getLogger(__name__)
@router.register("p... | python |
import os
import pathlib
import pytest
from mopidy_local import translator
@pytest.mark.parametrize(
"local_uri,file_uri",
[
("local:directory:A/B", "file:///home/alice/Music/A/B"),
("local:directory:A%20B", "file:///home/alice/Music/A%20B"),
("local:directory:A+B", "file:///home/alic... | python |
import torch
import numpy as np
from torch import nn, optim, Tensor
from ..envs.configuration import Configuration
from .abstract import Agent
# Default Arguments.
bandit_mf_square_args = {
'num_products': 1000,
'embed_dim': 5,
'mini_batch_size': 32,
'loss_function': nn.BCEWithLogitsLoss(),
'opti... | python |
expected_output = {
'traffic_steering_policy': {
3053: {
"sgt_policy_flag": '0x41400001',
"source_sgt": 3053,
"destination_sgt": 4003,
"steer_type": 80,
"steer_index": 1,
"contract_name": 'Contract2',
"ip_version": 'IPV4',
"refcnt": 1,
"flag": '0x41400000',
"stale": False,
"traffic_... | python |
def find_smallest(array):
smallest = array[0]
smallest_index = 0
for i in range(1, len(array)):
if(array[i] < smallest):
smallest = array[i]
smallest_index = i
return smallest_index
res = []
my_array = [32,2,25,3,11,78,-2,32]
print("my_array:", my_array)
for i in range(l... | python |
from enum import Enum
class PayIDNetwork(Enum):
# Supported networks
RIPPLE_TESTNET = "xrpl-testnet"
ETHEREUM_GOERLI = "eth-goerli"
# ETHEREUM_MAINNET = "eth-mainnet"
# RIPPLE_MAINNET = "xrpl-mainnet"
@property
def environment(self) -> str:
return self.value.split("-")[1].upper()... | python |
nome = input("Nome do cliente: ")
dv = int(input("Dia do vencimento: "))
mv = input("Digite o mes de vencimento: ")
fatura = input("Fatura: ")
print("Olá,",nome)
print("A sua fatura com vencimento em",dv,"de",mv,"no valor de R$",fatura,"está fechada.")
| python |
# integer Knapsack problem implementation
def knapsack(size, inputs):
inputs = sorted(inputs)
history = {0: ()}
for cur_input in inputs:
for prev_value, prev_history in history.items(): # items instead of iteritems, to take a deep copy
new_value = prev_value + cur_input
new_... | python |
from itertools import count
import numpy as np
import tensorflow as tf
from sklearn.model_selection import train_test_split
from nets.resnet_v2 import resnet_arg_scope, resnet_v2_50
from utils import preprocess, preprocess_val
import argparse
import os
def parse_args():
parser = argparse.ArgumentParser("A scrip... | python |
import os
from dynaconf import settings
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from database.models.transaction import Transaction
from database.models.trade import Trade
from database.models.types import Types
from database.models.status import Status
class Database(object):
... | python |
##
# Copyright (c) 2012 Sprymix Inc.
# All rights reserved.
#
# See LICENSE for details.
##
import sys
from setuptools import setup, Extension
if sys.version_info[:2] < (3, 3):
raise RuntimeError('metamagic.json requires python 3.3 or greater')
readme = open('README.rst').read()
setup(
name='metamagic.j... | python |
from flask_sqlalchemy import SQLAlchemy
from api.db.data_request import DataRequest
db = SQLAlchemy()
class ParachainData(db.Model):
__tablename__ = 'parachain_data'
id = db.Column(db.Integer, primary_key=True, autoincrement=True)
para_id = db.Column(db.String)
account_id = db.Column(db.String)
re... | python |
from IMLearn.learners import UnivariateGaussian, MultivariateGaussian
import numpy as np
# import plotly.graph_objects as go
# import plotly.io as pio
from matplotlib import pyplot as plt
# pio.templates.default = "simple_white"
def test_univariate_gaussian():
# Question 1 - Draw samples and print fitted model
... | python |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2021 Intel 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
#
# Unl... | python |
# 将带分割的圆的坐标信息写入文件
class SegmentInfoWriter(object):
def __init__(self, file):
self.file=file
def setSegmentInfo(self,all_circles, needSegment_idx):
self.all_circles = all_circles
self.needSegment_idx = needSegment_idx
self.__write()
def __write(self):
num=len(self.... | python |
from midiutil import MIDIFile
from itertools import repeat
import sys
bpm = 60
vartrack = 2
toadd = [1,(60,1,2),(62,1,25),(64,1,64),(65,1,53),(67,1,32),(69,1,14),(71,1,87),(72,1,69),2]
toadd1= [1,(60,1,5),(62,1,55),(64,1,31),(65,1,45),(67,1,115),(69,1,54),(71,1,87),(72,1,69),2]
midi = MIDIFile(vartrack) #it takes the... | python |
import time
import datetime
import webbrowser
import pyperclip
import pyautogui
AzkharAlsabah = [
"اللَّهُمَّ أنْتَ رَبِّي لا إلَهَ إلَّا أنْتَ، خَلَقْتَنِي وأنا عَبْدُكَ، وأنا علَى عَهْدِكَ ووَعْدِكَ ما اسْتَطَعْتُ، أعُوذُ بكَ مِن شَرِّ ما صَنَعْتُ، أبُوءُ لكَ بنِعْمَتِكَ عَلَيَّ، وأَبُوءُ لكَ بذَنْبِي فاغْف... | python |
import numpy as np
import pandas as pd
import freqtrade.vendor.qtpylib.indicators as qtpylib
def test_crossed_numpy_types():
"""
This test is only present since this method currently diverges from the qtpylib implementation.
And we must ensure to not break this again once we update from the original sour... | python |
import os
import subprocess
def export_script_and_view(model, os_path, contents_manager):
if model["type"] != "notebook":
return
dir_name, file_name = os.path.split(os_path)
file_base, file_ext = os.path.splitext(file_name)
if file_base.startswith("Untitled"):
return
expor... | python |
import os
from collections import defaultdict
from tempfile import NamedTemporaryFile
from django.conf import settings
from django.contrib import messages
from django.contrib.auth.mixins import LoginRequiredMixin, PermissionRequiredMixin
from django.contrib.messages.views import SuccessMessageMixin
from django.core.ex... | python |
#!/usr/bin/env python3
from pybytom.wallet import Wallet
from pybytom.assets import BTM as ASSET
from pybytom.utils import amount_converter
import json
# Choose network mainnet, solonet or testnet
NETWORK: str = "mainnet" # Default is mainnet
# Wallet seed
SEED: str = "b3337a2fe409afbb257b504e4c09d36b57c32c452b71a0... | python |
"""
Copyright 2020 The Magma Authors.
This source code is licensed under the BSD-style license found in the
LICENSE file in the root directory of this source tree.
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES O... | python |
# vim:ts=4:sw=4:expandtab
'''Simple echo server.
'''
from diesel import Application, Service, until_eol, send
def hi_server(addr):
while 1:
inp = until_eol()
if inp.strip() == "quit":
break
send("you said %s" % inp)
app = Application()
app.add_service(Service(hi_server, 8013))
... | python |
from flask import Flask,request,redirect,render_template,url_for,send_from_directory
from markupsafe import escape
import calculator as hsc
application = Flask(__name__)
@application.route('/')
def index():
return redirect(url_for('calculation'))
@application.route('/calculation', methods=["POST", "G... | python |
import json
import logging
from typing import TYPE_CHECKING, Any, Optional, TypeVar
from redis.asyncio import Redis, from_url
from mognet.exceptions.base_exceptions import NotConnected
from mognet.state.base_state_backend import BaseStateBackend
from mognet.state.state_backend_config import StateBackendConfig
from mo... | python |
import logging
import tempfile
import zipfile
from collections import OrderedDict
from pathlib import Path
import numpy as np
from PIL import Image
from scipy.io import loadmat
from . import download
from .enums import Split
logger = logging.getLogger(__name__)
class LeedsSportBase:
FOLDER_NAME = None
DATA... | python |
import torch
import os
from sklearn.neighbors import kneighbors_graph
import time
import datetime
import numpy as np
from scipy import sparse
class GraphConstructor(object):
"""
K-NearestNeighbors graph by Euclidean distance.
"""
def __init__(self, config):
self.temperature = config.temperatur... | python |
from collections import deque
import pandas as pd
import numpy as np
RT_lambda = int(input("Input inter-arrival time of RT messages: "))
nonRT_lambda = int(input("Input inter-arrival time of non RT messages: "))
RT_service = int(input("Input service time of an RT message: "))
nonRT_service = int(input("Input service t... | python |
# coding:utf-8
from gevent import monkey;monkey.patch_all()
import config
from config import COURSEURL
from spider.parser import Parser
from spider.downloader import Downloader
from filedeal.file_downloader import File_Downloader
'''
这个类是爬虫的主逻辑
'''
class SpiderMan(object):
def __init__(self):
self.downloa... | python |
import mimetypes
from collections import OrderedDict
import json
import requests
from django.http import HttpResponse
from django.shortcuts import render
from .client import RestClient
from .forms import *
import datetime
import time
def index(request):
return render(request, 'home/index.html')
cl... | python |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jan 4 12:01:56 2018
Flow Visualization module within the FlowTools package.
@author: nhamilto
@contact: nicholas.hamilton@nrel.gov.
@version: v.0.1
"""
import matplotlib.pyplot as plt
import numpy as np
#%%
# 2D contour plot: coords = ['y', 'z'], v... | python |
'''
File: addModel.py
Project: restful
Author: Jan Range
License: BSD-2 clause
-----
Last Modified: Wednesday June 23rd 2021 7:44:17 pm
Modified By: Jan Range (<jan.range@simtech.uni-stuttgart.de>)
-----
Copyright (c) 2021 Institute of Biochemistry and Technical Biochemistry Stuttgart
'''
from flask import request, se... | python |
from sklearn.base import TransformerMixin, BaseEstimator
from gensim.models import LdaMulticore, CoherenceModel
from gensim.corpora import Dictionary
from gensim.matutils import corpus2dense, corpus2csc
import numpy as np
class GensimLDAVectorizer(BaseEstimator, TransformerMixin):
def __init__(self, num_topics, r... | python |
# -*- coding: utf-8 -*-
# Author: Olaf Hauk <olaf.hauk@mrc-cbu.cam.ac.uk>
# Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Eric Larson <larson.eric.d@gmail.com>
#
# License: BSD (3-clause)
import os.path as op
import numpy as np
from numpy.testing import (assert_equal, assert_array_almost_equal,
... | python |
"""Module for local file system saving."""
import os
import shutil
from save_base import BaseSaver
import util
class FileSaver(BaseSaver):
"""A class for operations on files, handling the interaction with the local filesystem."""
def __init__(self, base_path):
super().__init__(base_path)
def ex... | python |
'''
实验名称：人体感应传感器
版本：v1.0
日期：2021.1
作者：01Studio
社区：www.01studio.org
'''
import time
from machine import SoftI2C,Pin #从machine模块导入I2C、Pin子模块
from ssd1306 import SSD1306_I2C #从ssd1306模块中导入SSD1306_I2C子模块
#初始化oled
i2c = SoftI2C(scl=Pin(10), sda=Pin(11)) #SoftI2C初始化：scl--> 10, sda --> 11
oled = SSD1306_I2C(128, 64, ... | python |
#
# PySNMP MIB module F5-BIGIP-COMMON-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/F5-BIGIP-COMMON-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 18:57:38 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default... | python |
# Copyright (c) ZJUTCV. All rights reserved.
def points2xyxy(points):
"""
Args:
points (list):
Returns:
"""
x_list = [points[i] for i in range(0, 8, 2)]
y_list = [points[i] for i in range(1, 8, 2)]
x_min = min(x_list)
x_max = max(x_list)
y_min = min(y_list)
y_max = max... | python |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.conf import settings
from django.shortcuts import get_object_or_404
from django.utils import six
from django.views.generic import ArchiveIndexView, DateDetailView
from glitter.mixins import GlitterDetailMixin
from .models import Category, Po... | python |
import random
from pyecharts import options as opts
from pyecharts.charts import Polar
c = (
Polar()
.add("", [(10, random.randint(1, 100)) for i in range(300)], type_="scatter")
.add("", [(11, random.randint(1, 100)) for i in range(300)], type_="scatter")
.set_series_opts(label_opts=opts.LabelOpts(is... | python |
from django.db import models
from django.contrib.auth.models import User
from django.conf import settings
from django.utils.timezone import now
from django.utils import timezone
# from froala_editor.fields import FroalaField
from django.contrib.auth import get_user_model
# Create your models here.
# from .models impo... | python |
def gcd(a, b):
if a % b == 0:
return b
else:
return gcd(b, a % b)
def main():
A = B = 1
for a in xrange(10, 100):
for b in xrange(a + 1, 100):
x = a % 10
y = b / 10
if x != y:
continue
x = ... | python |
"""
Vowel to Vowel Links
Given a sentence as txt, return True if any two adjacent words have this property:
One word ends with a vowel, while the word immediately after begins with a vowel (a e i o u).
Examples
vowel_links("a very large appliance") ➞ True
vowel_links("go to edabit") ➞ True
vowel_links("an open fire... | python |
import pytest
from pathlib import Path
# pylint: disable=wrong-import-position,import-error
import basicgit as git
# Module Under Test
import get_mpy
# No Mocks, does actual extraction from repro
# TODO: allow tests to work on any path, not just my own machine
@pytest.mark.parametrize(
"path, port, board",
... | python |
#
# Autogenerated by Thrift Compiler (0.9.0)
#
# DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING
#
# options string: py
#
from thrift.Thrift import TType, TMessageType, TException, TApplicationException
import Status.ttypes
import ErrorCodes.ttypes
import Types.ttypes
import Exprs.ttypes
import Catal... | python |
# 基于梯度下降的线性回归
# 线性回归方程： y = w1 * x + w0 * 1
# 用线性代数中的矩阵表述为： y = [w1, w0] * [x, 1]T
# 目标：使用梯度下降的方法，根据样本数据，反复迭代获取最佳的 w0,w1。最后得到目标方程。
# 数据
bread_price = [[0.5,5],[0.6,5.5],[0.8,6],[1.1,6.8],[1.4,7]]
# 更新一次 w0, w1 的值 BGD(Batch Gradient Descent,批量梯度下降法)
def BGD_step_gradient(w0_current, w1_current, points, learninggRate)... | python |
#!/usr/bin/env python3
import glooey
import pyglet
pyglet.font.add_file('Lato-Regular.ttf')
pyglet.font.load('Lato Regular')
class WesnothLabel(glooey.Label):
custom_font_name = 'Lato Regular'
custom_font_size = 10
custom_color = '#b9ad86'
custom_alignment = 'center'
window = pyglet.window.Window()
... | python |
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
class Norm(nn.Module):
""" Graph Normalization """
def __init__(self, norm_type, hidden_dim=64):
super().__init__()
if norm_type == 'bn':
self.norm = nn.BatchNorm1d(hidden_dim)
elif norm_t... | python |
import ldap
import os
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
ARCHIVE_API = {
'DATASET_ARCHIVE_ROOT': os.getenv('DATASET_ARCHIVE_ROOT', os.path.join(BASE_DIR, 'archives')),
'DATASET_ARCHIVE_URL': '/archives/', # not used
'DATASET_ADMIN_MAX_UPLOAD_SIZE': 2147483648, # in byt... | python |
from django.conf.urls import url
from ClassView import views
from ClassView.views import check_ip
urlpatterns = [
#方案1 直接在路由中进行装饰
# url(r'^post2$', check_ip(views.PostView.as_view())),
url(r'^post2$', views.PostView.as_view()),
url(r'^index$',views.index),
url(r'^block$',views.block)
] | python |
#BookStore
class Book:
def __init___(self, pages, price, author, id1, title):
self.pages = pages
self.price = price
self.author = author
self.id1 = id1
self.title = title
class BookStore:
def __init__(self, book_store_name, book_list):
self.book_list = book_list
... | python |
import math
def area_circle( r ):
area = (math.pi * (r ** 2))
return area
def volume_sphere( r ):
volume = ((4/3) * math.pi) * (r ** 3)
return volume
#MAIN
radius = float(input("Enter a radius:"))
#call the area function
radius_circle = area_circle(radius)
print(f'The area of the circle is {radius_c... | python |
# -*- coding: utf-8 -*-
"""Flask extensions that can be lazily accessed before instantiation of the web application."""
from flasgger import Swagger
from flask_sqlalchemy import SQLAlchemy
from embeddingdb.version import VERSION
__all__ = [
'db',
'swagger',
]
db = SQLAlchemy()
swagger_config = Swagger.DEF... | python |
# Copyright (c) 2014-2016, Intel Corporation All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditions... | python |
import time
import logging
import numpy as np
# from scipy.optimize import brent
# from math import gcd
# from qcodes import Instrument
from qcodes.utils import validators as vals
# from qcodes.instrument.parameter import ManualParameter
from pycqed.analysis import analysis_toolbox as atools
# from pycqed.utilities.ge... | python |
def word2byte_array(array):
assert len(array) == 32
res = []
for word in array:
assert word >= 0
assert word <= 0xffff
res.append(word & 0xff)
res.append(word >> 8)
return res
def avx512_dwords(array):
assert len(array) == 64
dwords = []
for i in range(0, 6... | python |
#!/usr/bin/env python
# Copyright 2016 The Kubernetes 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 appli... | python |
#!/usr/local/bin/python3 -u
import minecraft_launcher_lib as mll
import subprocess
# Minecraft version
mc_version = "1.18.1-rc2"
# Asset index is same but without final revision
asset_index = "1.18"
# Your email, username and password below
login = "yourEmailUsername"
password = "seekritPasswordHere"
# Get Mine... | python |
from concurrent import futures
import logging
import grpc
import app_pb2
import app_pb2_grpc
class Greeter(app_pb2_grpc.GreeterServicer):
def SayHello(self, request, context):
for key, value in context.invocation_metadata():
print('Received initial metadata: key=%s value=%s' % (key, value))... | python |
# flake8: noqa: F401
from dataclasses import dataclass, field
from datetime import datetime
from typing import Any, Dict, List, Optional
from trakt.core.models import (
Comment,
Episode,
Movie,
Person,
Season,
Show,
TraktList,
User,
)
from trakt.core.paths.response_structs.movie_struct... | python |
import cPickle as pickle
import theano_funcs
import utils
import vgg16
from lasagne.layers import set_all_param_values
from tqdm import tqdm
from os.path import join
def warp_images():
print('building model')
layers = vgg16.build_model((None, 3, 227, 227))
batch_size = 32
infer_dir = join('data', 'i... | python |
from copy import deepcopy
from re import match
from .error import throw
__all__ = [
'Type',
'ModuleType',
'BooleanType',
'NoneType',
'NumberType',
'StringType',
'TupleType',
'ListType',
'NameType',
'SliceType',
'ArgType',
'ArgumentsType',
'FunctionType',
'Built... | python |
from __future__ import division
import subprocess
import ase
print(ase.data.chemical_symbols)
for pseudo,pseudo_min in zip(["LDA", "GGA"], ["lda", "gga"]):
for sym in ase.data.chemical_symbols:
cmd = "wget https://departments.icmab.es/leem/siesta/Databases/Pseudopotentials/Pseudos_" + pseudo + "_Abinit/" +... | python |
import Item
import Shop
item = Item.Item("first module item", 10)
shop = Shop.Shop()
if __name__ == "__main__":
print item
print shop
| python |
import os, sys
# import FIFE main module
from fife import fife
# import the ApplicationBase
from fife.extensions.basicapplication import ApplicationBase
# import FIFE pychan module
from fife.extensions import pychan
# import scripts
from scripts import gameplay
from scripts.common import eventListenerBase
class Ga... | python |
import re
from modules import RGSubModule
from functions import RGFunctionFactory
import base
import state
module = RGSubModule('t')
base.base(module)
#__all__ = ["module"]
apply = base.apply
@module
@RGFunctionFactory('a')
def ta(stack):
stack.append(input())
@module
@RGFunctionFactory('b')
def tb(stack):
stack.appe... | python |
# Basic libraries
import numpy as np
import tensorflow as tf
import os
from data_gen import get_next_batch
from util import is_existing
tf.reset_default_graph()
tf.set_random_seed(2016)
np.random.seed(2016)
# LSTM-autoencoder
from LSTMAutoencoder import *
# Constants
batch_num = 1
hidden_num = 128
step_num = 200 # ... | python |
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