text stringlengths 38 1.54M |
|---|
import time
from messages import Message
class Command(object):
def __init__(self, message=None):
self._message = message
@property
def message(self) -> Message:
return self._message
@message.setter
def message(self, message: Message):
self._message = message
class Bar... |
from os.path import join
import numpy as np
def write_normalized_spectra(shard_dict, normed_bstar_path):
norm_fs = {}
for order, shard in shard_dict.items():
for fname, spectrum in shard.spectra.items():
if fname not in norm_fs:
norm_fs[fname] = {}
norm_fs[fname]["{}.lin_x".for... |
"""Print the following pattern Pattern for N = 4 1 23 345 4567 """
n= int(input())
for i in range(1,n+1):
temp=i
for j in range(1, n-i+1):
print(" ",end="")
for k in range(n-i, n):
print(temp,end="")
temp=temp+1
print()
|
#encoding=utf-8
import requests
from bs4 import BeautifulSoup
import os
from random import choice
from time import sleep
url = "http://www.zhuoku.com/"
header_list = [
"Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.91 Safari/537.36",
"Mozilla/5.0 (Windows; U; Win... |
#!/usr/bin/python
from job import *
from tool import *
m = Job(300, 300, 5)
t1 = Tool(TYPE_DRILL)
t1.setDiameter(6)
m.drill(200, 200, 5, t1)
m.export("demo.scad")
m.export("demo.svg")
#m.export("demo.dxf")
#m.export("demo.vcarve")
#m.export("demo.nc")
|
import pandas as pd
import numpy as np
import networkx as nx
import pickle
dataset_edges = pd.read_csv('enrondatasetfinal.csv')
dataset_nodes = pd.read_csv('Enron.true', sep = ';')
node_from = dataset_edges.iloc[:,0].values
node_to = dataset_edges.iloc[:,1].values
num_nodes = len(dataset_nodes)
print num_nodes
# C... |
import os
import pickle
from pathlib import Path
from typing import Sequence, Union
import numpy as np
import skimage.io as io
from skimage.util import img_as_float
from constants import *
ToImgArray = Union[os.PathLike, np.ndarray]
ZeroOneFloatArray = np.ndarray
UbyteArray = np.ndarray
ToPoints = Union[os.PathLike... |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.7 on 2017-05-26 18:27
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('users', '0001_initial'),
]
operations = [
migrations.AddField(
... |
import aiohttp.web
import asyncio
import json
import re
import typing
import uuid
from . import multi_queue
class Task:
def __init__(self, type: str, result_future: asyncio.Future, payload):
self.type = type
self.result_future = result_future
self.payload = payload
self.task_id: ty... |
from tasks import add
from celery import group
r = group(add.s(i, i) for i in range(1000000)).apply_async()
print(r.get())
|
# -*- coding: utf-8 -*-
"""
Created on Sun Jul 30 19:42:55 2017
@author: qxd
"""
import tensorflow as tf
import data_preparation
import model_generation
import numpy as np
N_CLASSES = 2
IM_W = 256
IM_H = 256
BATCH_SIZE = 50
CAPACITY = 10000
def evaluation():
cat_dir = 'D:\\machine_learning_py... |
import datetime
import unittest
from twisted.python.threadable import registerAsIOThread
import mock
import sys
from mock import Mock
from dispersy.candidate import LoopbackCandidate
from dispersy.dispersy import Dispersy
from dispersy.endpoint import ManualEnpoint
from dispersy.member import DummyMember, Member
from... |
# -*- coding=utf-8 -*-
import re
import random
import string
import ConfigParser
def load_cfg():
return
cfg = ConfigParser.ConfigParser()
cfg.read(r"D:\PycharmProjects\Hellow\venv\cfg.ini")
# 加载ini配置文件
def get_option(key):
if cfg.has_option('cfg1',key):
return cfg.get('cfg1',key)
Img_path = get_... |
# -*- coding: utf-8 -*-
from twisted.protocols import basic
from twisted.internet import protocol, reactor
from binascii import unhexlify
import psycopg2
from socket import inet_aton
from struct import pack
import crc16
# bit mask to check if memory in smartbox is empty
f_key_empty_memory = 128
# bit mask - smartbox s... |
from flask import Flask
from marshmallow import Schema, fields, pre_load, validate
from flask_marshmallow import Marshmallow
from flask_sqlalchemy import SQLAlchemy
ma = Marshmallow()
db = SQLAlchemy() |
from EPICS_serial_CA import Serial
port = Serial("14IDB:serial3") # loop back connector
string = "SET:TEMP 4.000\n"
port.query(string)
# generates reply 'SET:TEMP 4.000\nUT'
from CA import caput
encoded_string = repr(string)[1:-1]
##caput("14IDB:serial3.AOUT",encoded_string,wait=True)
caput('14IDB:serial3.AOUT','SET:... |
def prime(n):
cont = 0
for c in range(1, n+1):
if n % c == 0:
cont += 1
if cont == 2:
return f'{n} is prime'
else:
return f'{n} not prime'
print(prime(6))
|
import matplotlib.pyplot as plt
from libpysal.weights.contiguity import Queen
import libpysal as lp
from libpysal import examples
import geopandas as gpd
import numpy as np
from nose.tools import assert_raises, assert_warns
from esda.moran import (Moran_Local, Moran, Moran_BV,
Moran_Local_BV, M... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
import signal
from PyQt5.QtWidgets import QApplication
from .gui.MainWindow import MainWindow
from .storage.Storage import Storage
from .shared import get_storage
TMP_STORAGE = "/home/nia/Development/_Python/_DCat/ExportA/gz"
class AppQT(object):
def __init__... |
#!/usr/bin/python
import socket
import sys
if len(sys.argv) != 4:
print("Usage: %s server_ip server_port prediction_file" % (sys.argv[0])) # MUST BE A VALID IP AND VALID PORT
exit(1)
CHUNK_SIZE = 8 * 1024
SERVER_IP = sys.argv[1] # "10.10.55.100"
SERVER_PORT = int(sys.argv[2]) # 1337
sock = socket... |
from distutils.core import setup, Extension
x12_hash_module = Extension('x12_hash',
sources = ['x12module.c',
'x12.c',
'sha3/blake.c',
'sha3/bmw.c',
'sha3/groestl.c',
'sha3/jh.c',
'sha3/... |
# Auto generated configuration file
# using:
# Revision: 1.19
# Source: /local/reps/CMSSW/CMSSW/Configuration/Applications/python/ConfigBuilder.py,v
# with command line options: step3 --conditions auto:phase1_2017_realistic -n 10 --era Run2_2017 --eventcontent RECOSIM,MINIAODSIM,DQM --runUnscheduled -s RAW2DIGI,L1Re... |
# การเพิ่มข้อมูลใน list โดยใช้ while
list1 = []
i = 0
n = 10
while i < n:
x = int(input())
list1.append(x)
i=i+1
print(list1)
# การเพิ่มข้อมูลใน list โดยใช้ for range
lists2 = []
for i in range(0, 10, 1):
x = int(input())
lists2.append(x)
print(lists2)
|
from qiniu import QiniuMacAuth, http
import requests, time
# 密钥队初始化
access_key = 'your_AK'
secret_key = 'your_SK'
q = QiniuMacAuth(access_key, secret_key)
url = 'http://ai.qiniuapi.com/v3/video/censor' # 请求url
data = {"data": {"uri": "http://cdn.vcore.hk/1528336770927592712019-02-181550474493.mp4"}, "params": {"sc... |
Low = 1
Normal = 2
High = 3
Magic = 4
PartOfSet = 5
Rare = 6
Unique = 7
Crafted = 8
byName = {
"ERR_QUALITY": 0,
"Low": 1,
"Normal": 2,
"High": 3,
"Magic": 4,
"PartOfSet": 5,
"Rare": 6,
"Unique": 7,
"Crafted": 8,
}
byId = map(lambda t:t[0], sorted(byName.items(), key=lambda t:t[1]))
|
# Richard Xie 915505564
# Kneser-Ney Smoothing
import math, collections
def bigram(sentence, i):
word1 = sentence[i].word
word2 = sentence[i+1].word
return '%s %s' % (word1, word2)
discount = 1
class CustomModel:
def __init__(self, corpus):
"""Initial custom language model and structures needed by this... |
def stringToList(s):
l = []
for e in s:
if e == '+':
l.append(True)
elif e == '-':
l.append(False)
return l
def removePlusAtTheEnd(l):
while len(l) > 0 and l[-1] == True:
l = l[:len(l)-1]
return l
def reverseCookies(l,iFinal):
lbis = []
for i in range(len(l)):
if i <= iFinal:
... |
class Solution(object):
def grayCode(self, n):
"""
:type n: int
:rtype: List[int]
"""
size = 0
res = [0]
while len(res)>size:
size += 1
for i in range(0, n):
ans = res[-1] ^ (1 << i)
if ans not in res:
... |
# An implementation of a graph in matrix format for CMPT435.
__author__ = 'Tim Polizzi'
__email__ = 'Timothy.Polizzi1@marist.edu'
class GraphMatrix(object):
def __init__(self):
self.inner_list = []
self.filled = False
def add_vertex(self, vertex_num: int):
""" Adds a new vertex to t... |
# Copyright (c) 2019 Western Digital Corporation or its affiliates.
import logging
import torch.nn as nn
from torch.nn.modules.batchnorm import _BatchNorm
from mmcv.runner import load_checkpoint
from mmcv.cnn import constant_init, kaiming_init
from mmdet.models.utils import YoloConvLayer
from ..registry import BACK... |
from flask import Flask, render_template, redirect
from flask_restful import Api
from modules.search_store_resource import SearchStoreResource
import os
from modules.send_message_resource import SendMessageResource
from modules.config_generator import config_generator
app = Flask(__name__)
api = Api(app)
api.add_resou... |
# app.py
import os
from flask_script import Manager
from flask_migrate import Migrate, MigrateCommand
from app import create_app, db
#config_name = os.getenv('FLASK_CONFIG')
config_name = "development"
app = create_app(config_name)
manager = Manager(app)
migrate = Migrate(app, db)
manager.add_comm... |
# Name: globals.py
# Purpose: XRC editor, global variables
# Author: Roman Rolinsky <rolinsky@mema.ucl.ac.be>
# Created: 02.12.2002
# RCS-ID: $Id: globals.py,v 1.31 2007/03/08 15:49:34 ROL Exp $
import wx
# Global constants
progname = 'XRCed'
version = '0.1.8-4-admin4'
# Minimal wxWidge... |
"""
Description
-----------
Implements query and status report functionality for C1 use cases.
:Authors:
- Johannes Schlatow
"""
import logging
from mcc.framework import *
from mcc.model import SimplePlatformModel
from mcc import parser as cfgparser
from mcc import lib
from mcc.configurator import GenodeConfigu... |
# 110. Balanced Binary Tree
class Solution(object):
def isBalanced(self, root):
"""
:type root: TreeNode
:rtype: bool
"""
if not root: return True
left = self.MaxHeight(root.left)
right = self.MaxHeight(root.right)
return abs(left - right) < 2 and self... |
#!/usr/bin/env python
#encoding:utf-8
import os
import signal
from pwn import *
__all__ = [
'factor', 'gcd', 'ext_euclid',
'SET_PAD_CHAR', 'NOPS', 'LEFT_PAD', 'RIGHT_PAD',
'debug'
]
#############################
### utils for calculation ###
#############################
def factor(n):
"""分解质因数"""
while (... |
import base64
import random
import time
import string
import urllib.parse
import json
def get_payload(signupURL):
UBASessionID = generate_uba_sessionID()
pageID = random.randint(1000000000000000, 9999999999999999)
events = get_events(signupURL, pageID, UBASessionID)
return {
"eventSource":"we... |
# -*- coding: utf-8 -*-
import json
import requests
from django.core.management.base import BaseCommand
from products.models import Store, Product
from .url_settings import TOP_URL
class Command(BaseCommand):
def handle(self, *args, **options):
"""
scrapes and stores product availability
"... |
n=int(input("enter the number of rows"))
k=ord("A")
for i in range(n):
for j in range(n-i-1):
print(" ",end=" ")
for j in range(i+1):
print(chr(k),end=" ")
print() |
from cffi import FFI
import numpy as np
import pdb
ffi = FFI()
keepalive = []
def zero_cffiarray(nz):
tab_np = np.zeros((nz))
keepalive.append(tab_np)
tab = ffi.cast("double*", tab_np.__array_interface__['data'][0])
return tab
def morrison_2momNc_simplewarm(nx, ny, nz, qc_np, qr_np, nc_np, nr_n... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models
from django.conf import settings
from django.apps import apps
from django.utils.translation import ugettext as _
from django.contrib.postgres.fields import JSONField
from django.core.exceptions import ValidationError
from ord... |
import heapq
import sys
#Read given from file
filer = sys.argv[1]
fp = open(filer, "r")
#Determine the dimensions of the given
lines = fp.read().splitlines()
checkdim = lines[0].split(" ")
truedim = len(checkdim)
#Determine which heuristic to use
def chooseH(chooser, curr, goal, glist, zind):
h = 0
if choose... |
from pylab import *
figure()
title("Graded inhibitory synapse: granule-|mitral")
# adjust activation curve so that all the dynamics happens between -52 and -28mV.
act = [0.0] # at -52mV
act.extend( [1/(1+math.exp(-(vm + 40.5e-3)/1.0e-3)) for vm in arange(-50e-3,-30.00001e-3,2e-3)] )
act.extend([1.0]) # for -28mV
plot(... |
"""
============================
Author:柠檬班-木森
Time:2020/2/25 21:54
E-mail:3247119728@qq.com
Company:湖南零檬信息技术有限公司
============================
"""
"""
linux命令 os模块中的方法
pwd： os.getcwd()
cd os.chdir()
ls os.listdir()
mkdir ... |
import os
from pathlib import Path
from imblearn.over_sampling import SMOTE
from sklearn.linear_model import SGDClassifier
from sklearn.model_selection import KFold, GridSearchCV
from sklearn.preprocessing import StandardScaler
from sklearn.svm import LinearSVC
from tqdm import tqdm
import numpy as np
from config impor... |
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
"""MSTICPy... |
#!/usr/bin/env python2
from __future__ import print_function
import enum
import math
import rospy
import threading
import tf
from geometry_msgs.msg import Twist, Vector3
from sensor_msgs.msg import Imu
from std_msgs.msg import UInt8, Empty
class Pose(enum.Enum):
REST = 0
FIST = 1
WAVE_IN = 2
WAVE_OUT... |
import os
SECRET_KEY=os.getenv('SK')
SQLALCHEMY_DATABASE_URI="postgresql://postgres:@localhost:5432/postgres"
SQLALCHEMY_TRACK_MODIFICATIONS=False
DEBUG_TB_TEMPLATE_EDITOR_ENABLED=False
DEBUG_TB_INTERCEPT_REDIRECTS=False
FLASK_ADMIN_SWATCH='yeti' |
#coding=utf-8
#author=godpgf
from ctypes import *
from pyalphatree.libalphatree import alphatree
import numpy as np
class AlphaPic(object):
def __init__(self, sign_name, feature_list, daybefore, sample_size):
features_cache = self.decode_features(feature_list)
self.picid = alphatree.useAlphaPic(c_... |
#!/usr/bin/env python3
import sys
from PySide import QtGui, QtCore
import os
from os import path
import logging
#class ImageViewer(QtGui.QWidget):
class ImageViewer(QtGui.QMainWindow):
def __init__(self):
super(ImageViewer, self).__init__()
self.initUI()
def initUI(self):
self.is_image... |
class Solution:
def minCostToMoveChips(self, position: List[int]) -> int:
total_odd_value = total_even_value = 0
for index in position:
if index % 2 == 1:
total_odd_value += 1
else:
total_even_value += 1
if total_even_value < total_o... |
# coding=utf-8
import numpy as np
from scipy import stats
from scipy import special
from scipy.stats import chi2
class Statistic:
"""
Класс для нахождения всяких статистических величин.
"""
def __init__(self, ):
self.data = []
self.n = 0
def load_data(self, file):
""... |
import string
letters = list(string.ascii_uppercase)
print letters
with open('in.txt') as f:
lines = f.readlines()
lines = [l.split('\n')[0] for l in lines]
t = int(lines[0])
def find_plan(np):
ans = []
n = len(np)
paties = letters[:n]
d = dict(zip(paties, np))
while d:
pd = {}
... |
# Python3 program to find minimum number
# of swaps required to sort an array
# Function returns the minimum
# number of swaps required to sort the array
def minSwaps(arr):
n = len(arr)
# Create two arrays and use
# as pairs where first array
# is element and second array
# i... |
#!/usr/bin/python
from opyscad import *
import bearing, screw, config
import math, copy
l = 30.0
t = 4.0
belt_gap = 2
w = bearing.D1 + t * 2 + belt_gap * 2.0
dx = bearing.D1 / 2
lip_t = 1.5
lip_d = bearing.d + 4.0
bearing_gap = 0.0
cap_gap = 0.2
h = t + bearing.B + lip_t + bearing_gap
bearing_nut = screw.m3
bearing_... |
from graphics import *
from random import randint
class Pig:
'''a movable pig'''
def __init__(self,win):
self.circ = Circle(Point(0,0),10)
self.pcent = self.circ.getCenter()
self.cy = self.pcent.getY()
self.cx = self.pcent.getX()
self.circ.setFill('pink')
self.ci... |
#!/usr/bin/python
# -*- coding:utf-8 -*-
#Filename: iterator.py
colors = [ 'red', 'green', 'blue', 'yellow' ]
for i in range(len(colors)):
print (colors[i])
# >>> red
# green
# blue
# yellow
for color in colors:
print(color)
|
s = set()
s.add(1)
s.add(2)
s.add(3)
s.add(4)
s.add(5)
print(s)
#each elements in a set are unique if:
s = set()
s.add(1)
s.add(2)
s.add(3)
s.add(3)
s.add(5)
print(s)
#the set will print s = {1, 2, 3, 5}
|
def Main():
# Having brackets is the python 3.X way
print("test")
# Loose typing means python figures out the type in run time also means you
#don't need to define it as you would in C languages.
numOfLoops = askuser()
x = 1
#white space is important in python since there is no brackets! (n... |
def removeRed():
my_pict = makePicture(pickAFile())
explore(my_pict)
for px in getPixels(my_pict):
x = getX(px)
y = getY(px)
# set the boundary for left eye
if 100 <= x <= 112 and 168 <= y <= 178:
color_red = makeColor(170,75,120)
# choose the... |
import pandas as pd
import itertools
import numpy as np
# Read the Excel file into a DataFrame
df = pd.read_excel('example.xlsx')
# Get the column names
column_names = df.columns.tolist()
# Define the suffixes for permute and spread columns
permute_suffix = '_P'
spread_suffix = '_S'
# Get the column names for permu... |
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets('MNIST_data', one_hot = True)
def add_layers(inputs, in_size,out_size,activation_function = None):
Weights = tf.Variable(tf.random_normal([in_size, out_size]))
biases = tf.Variable(tf.zeros([1... |
import numpy as np
x = np.array([[0, -6], [4, 4], [0, 0], [-5, 2]])
z = np.array([[-5, 2], [0, -6]])
assignment = np.zeros(x.shape[0])
def assign_points(x, z):
distances = np.zeros([x.shape[0], z.shape[0]])
for i in np.arange(x.shape[0]):
for k in np.arange(z.shape[0]):
distances[i, k] = ... |
# -*- python -*-
load(
"@drake//attic:build_macros.bzl",
drake_cc_googletest = "attic_drake_cc_googletest",
drake_cc_library = "attic_drake_cc_library",
)
load("//tools/skylark:test_tags.bzl", "gurobi_test_tags")
load("//tools/lint:lint.bzl", "add_lint_tests")
drake_cc_library(
name = "global_inverse_... |
import tax.tax_calculator as txc
def test_tax_calcation():
tc = txc.CA_MARRIED
assert tc.agi_to_tax(0) == 0
assert tc.agi_to_tax(8472) == 0 # state deduction
assert round(tc.agi_to_tax(24000)) == 155 # federal deduction (some state)
assert round(tc.agi_to_tax(40000)) == 2060 # low fed rate
asse... |
import csv
import requests
import urllib
import json
import time
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry
from stem import Signal
from stem.control import Controller
# spoof a real browser as jstor et al don't take kindly to bots
headers = {
'User-Agent': 'Mozilla/5.0 (X11; ... |
from django.shortcuts import render, get_object_or_404,redirect
from django.views.generic import ListView, DetailView, View
from django.views.generic.edit import CreateView, UpdateView, DeleteView
from .models import Recipe, Ingredient, Like, User
from .forms import RecipeForm, NewUserForm, IngredientForm
from django... |
class Rectangle:
def __init__(self,length,width):
self.length = length
self.width = width
def perimeter(self):
peri = (self.length + self.width) *2
return peri
def area(self):
space = self.length * self.width
return space
class Parallelepipede(Rectangle):... |
def main():
bulldog()
def bulldog():
print('feed me!')
if __name__ == '__main__': main() # __name__ is a special variable that returns the name of the current module
#####
def main():
bulldog(3)
def bulldog(n):
print(f'{n}feed me!')
if __name__ == '__main__': main()
# FUNCTION ARGUMENTS
def... |
"""
@Time : 2020-07-07 23:11
@Author : QDY
@FileName: 166. 分数到小数.py
给定两个整数，分别表示分数的分子 numerator 和分母 denominator，以字符串形式返回小数。
如果小数部分为循环小数，则将循环的部分括在括号内。
示例 1:
输入: numerator = 1, denominator = 2
输出: "0.5"
示例 2:
输入: numerator = 2, denominator = 1
输出: "2"
示例 3:
输入: numerator... |
import unittest
from scpidev.value import SCPIValue, SCPIValueList
test_vectors = [
{
"value_string": "{<resolution>|MINimum|MAX|DEF}",
"expected_values_list": [
"<resolution>", ("MIN", "imum", ""), ("MAX", "", ""),
("DEF", "", "")
],
"match_test": [
... |
# -*- coding: utf-8 -*-
"""
Created on Sat Apr 28 17:20:02 2018
@author: mathe
"""
import pygame,sys,time,random
from pygame.locals import *
import Jogo
def menu():
pygame.init()
pygame.mixer.init()
fonte=pygame.font.Font("moonhouse.ttf", 40)
fonte_titulo=pygame.font.Font("moonhouse.tt... |
from tensorboardX import SummaryWriter
class Plotter():
def __init__(self, folder):
self.writer = SummaryWriter(folder)
self.last_written = {}
def plot(self, tag, name, x, y):
key = tag + '/' + name
if key in self.last_written.keys() and x <= self.last_written[key]:
... |
#!/usr/bin/env python
#-*- coding: utf-8 -*-
def my_insert(indeks, eleman):
liste = [1, 2, 3, 'a', 'b']
print liste[:indeks] + list(eleman) + liste[indeks:]
my_insert(3, "2")
|
#! /usr/bin/python
import socket
import math
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
RIFLE_V = 853
PISTOL_V = 350
GRAVITY = -9.81
PI = 3.14159
HOST = 'zombies_8977dda19ee030d0ea35e97ad2439319.2014.shallweplayaga.me'
PORT = 20689
s.connect((HOST, PORT));
i = 0;
s.recv(1024)
s.send('1\n')
s.recv(1024)
s.... |
import logging
import pymysql
from pymongo import MongoClient
import pymongo
from bson import ObjectId
def op_db_query(sql, host, user, password, database):
"""
不需要跳板机，连接mysql
:param sql: 需要执行的命令
:param host: 机器地址
:param user: sql登陆用户
:param password: sql登陆密码
:param db: 需要连接的数据库
:retur... |
import math
import time
import os
from random import shuffle
import matplotlib.pyplot as plt
import numpy as np
import torch
import torch.optim as optim
import nni
import logging
import networkx as nx
from loggers import EmptyLogger, CSVLogger, PrintLogger, FileLogger, multi_logger
from model import GCN, GatNet
from pr... |
import os
import json
import re
import pickle
from maintain_data import Extract_Label as el
def load_needed_label(file_path):
label_list = []
with open(file_path,'r') as op:
for data in op:
label_list.append(data.strip('\n'))
op.close()
return label_list
def load_verdict_label... |
import requests_cache
import typer
from typing import Optional
from src.scrape.scrape import (
query_website, extract_job_offers, collate_jobs_data, filter_results
)
# Set up caching for use with all requests as default
requests_cache.install_cache('scraping-cache', backend='sqlite')
scrape_app = typer.Typer()
... |
""" 共通関数
"""
import datetime
from logging import Logger, getLogger, StreamHandler, handlers, Formatter, \
INFO
import os
from .const import LOGGER_DIR, LOG_LEVEL
def get_default_logger(initial_talk:bool=False) -> Logger:
"""
デフォルトロガーを返す
Parameters
----------
initial_talk: bool
デフォルトロガ... |
import json
from datetime import datetime
from django.contrib.auth.models import AbstractUser
from django.db import models
# Create your models here.
class User(AbstractUser):
balance = models.FloatField(default=0)
sale_price = models.FloatField(default=0)
def __str__(self):
return self.email
... |
#!/usr/bin/env python
# coding: utf-8
# Author: Chris Harris
# Class: BU CS 767 - Machine Learning
#
# This notebook builds off of Stefan Bergsteins CNN model using Keras. I liked his approach and my goal is to add to it and to compare performance from his CNN to an RNN: https://www.kaggle.com/crayharris/keras-deep-l... |
from os import environ, pathsep
from pathlib import Path
from .utils import Util
for path in environ["PATH"].split(pathsep):
for util in Path(path).glob("*"):
globals()[util.name] = Util(util.name)
|
from django.views.generic import TemplateView
from django.conf import settings
class LidarView(TemplateView):
template_name = "lidar/potree/data/viewer.html"
def get_context_data(self, **kwargs):
context = super().get_context_data(**kwargs)
context['BUCKET_URL'] = settings.LIDAR_BUCKET
... |
import atexit
import os
import signal
from abc import ABCMeta, abstractmethod
from os.path import abspath, dirname, join, exists
from utils import log
class Socket(object):
__metaclass__ = ABCMeta
DEFAULT_NAME = join(abspath(dirname(__file__)), 'test.socket')
EMPTY_MESSAGE = '[empty message]'
def __... |
# Licensed under a 3-clause BSD style license - see LICENSE.rst
"""Make example datasets.
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import os
import numpy as np
from astropy.units import Quantity
from astropy.time import Time, TimeDelta
from astropy.coordinates import SkyCoo... |
"""Model classes"""
from app.types.User import User
from app.types.Role import Role
from app.types.Machine import Machine
from app.types.Manufacturer import Manufacturer
from app.types.Tournament import Tournament
from app.types.Division import Division
from app.types.Player import Player
from app.types.Entry import En... |
# -*- coding: utf-8 -*-
# setup.py
# author : Antoine Passemiers
from setuptools import setup
setup(
name='rmm',
version='1.0.0',
description='Realistic mouse movements',
url='https://github.com/AntoinePassemiers/Realistic-Mouse',
author='Antoine Passemiers',
author_email='apassemi@ulb.ac.be',... |
# This program generates for each userid, 5 nearest neighbors, by using collaborative filterting. In particular, the sparse matrix
# of userid/event is generated, then one takes the dot product of this matrix (normalized) with itself.
# This program should load csv files generated by RASparse_rowcol_generator.py (ther... |
from django.db import models
from datetime import datetime
# Create your models here.
class Modulation(models.Model):
modulation_name = models.CharField(max_length=100)
def __str__(self):
return (self.modulation_name)
class Encryption(models.Model):
encryption_name = models.CharField(max_length=1... |
import unittest
from app.models import Pitch,User
from app import db
class PitchModelTest(unittest.TestCase):
def setUp(self):
self.user_manow = User(username = 'manow',password = '1234')
self.new_pitch = Pitch(name='zee',title='Money',description='moneyreview',user =self.user_manow, category='Fina... |
# _*_ coding: utf-8 _*_
__author__ = 'Melon'
__date__ = "18/07/09"
from flask import Blueprint
home = Blueprint("home",__name__)
from . import views |
'''
Logic:
A function of filename logic is a key component of whole snippet.
Takes input as m, n and a matrix on which logic is to be performed and returns the same matrix
after the operation
'''
# logic takes m, n and deeeply copied matrix l2 as parameter
# operations are performed on l2
def logic(m, n, l2):
j = ... |
import streamlit as st
import pandas as pd
import numpy as np
import os
import joblib
from PIL import Image
from titanic_req.titanic_model import titanic
def titanic_data(sidebar_slots, predict_button):
model_titanic = titanic()
dtree, svc, name = model_titanic.input(sidebar_slots, predict_button)
if pre... |
# coding=utf-8
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy.orm import scoped_session
from sqlalchemy.schema import Index
import DBBase
from FlightFixInfoModel import FlightFixInfo
from CompanyInfoModel import CompanyInfo
from CompanyInfoAllModel import CompanyInfoAll
f... |
# Alex Bello
# 2/11/2020
# The list of methods used for the Operation project.
def sums(lists):
sum = 0
for i in lists:
sum += i
return sum
def product(lists):
total = 0
for i in lists:
total *= i
return total
def mean(lists):
avg = sums(lists)
return avg / len(list... |
strhr = input("Input Hours: ")
hr = float(strhr)
strrate = input("Input Rate: ")
rate = float(strrate)
if hr<=40 :
pay = hr * rate
print("Gross pay is :",pay)
else :
exhr = hr-40
pay = (40 * rate) + (exhr * rate * 1.5)
print(pay)
|
# Generated by Django 2.0 on 2018-01-04 10:14
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('tyre', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Tyre_without_issue',
... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2007, TUBITAK/UEKAE
#
# This program is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 2 of the License, or (at your
# option) any later... |
# Copyright (c) 2016, Xilinx, Inc.
# SPDX-License-Identifier: BSD-3-Clause
import os
import pytest
from pynq import PL
from pynq import Overlay
from pynq import Clocks
from pynq.pl import BS_BOOT
from pynq.ps import DEFAULT_CLK_MHZ
bitfile1 = BS_BOOT
bitfile2 = PL.bitfile_name
ol1 = Overlay(bitfile1)
ol2 = Ov... |
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