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# A ViT designed from what I heard
# 92% accuracy on CIFAR10 using only CIFAR10 training data,
# python3 -m playground.vit.train_cifar10_my --data-dir ./tmp/vit --model-dir ./tmp/vit
from torchvision.datasets import CIFAR10
from torchvision import transforms as T
from torchvision.transforms import functional as TF
impo... |
import os
from everett.manager import ConfigManager, ConfigOSEnv, ListOf
import dj_database_url
config = ConfigManager([
# Pull configuration from the OS--no ini files.
ConfigOSEnv(),
])
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.p... |
import datetime
from http import HTTPStatus
from django.test import TestCase
from django.urls import reverse
from accounts.models import User
from category.models import Category
from menu.models import Menu
from restaurant.models import Restaurant
from yosigy.models import YosigyMenu, Yosigy
class YosigyDetailList... |
nome = input("Qual é o seu nome? ")
num_filhos = int(input("Qual é o número de filhos que você deseja ter? "))
cidade = input("Em qual cidade você gostaria de morar? ")
profissao = input("Qual é a profissão dos seus sonhos? ")
print(f"{nome} terá {num_filhos} filhos e viverá em {cidade} trabalhando como {profissao} em... |
import unittest
from unittest.mock import patch
from falcon import testing
from dingolib.rest.app import application
class FalconTestCase(testing.TestCase):
def setUp(self):
super(FalconTestCase, self).setUp()
self.app = application
class TestApp(FalconTestCase):
""" Tests for app.py wsgi ap... |
#!/usr/bin/env python
import sys
import numpy as np
import fileinput
if __name__ == "__main__":
sifts = \
[ np.array(
map(float,
# Each line needs to be stripped, and cleaned up a bit
line.strip().replace(' \n',' ').replace('\n',' ').split(' ')))
for line in sys.stdin.read... |
import os
import sys
import time
import tempfile
from collections import OrderedDict
import numpy
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
os.environ['TF_FORCE_GPU_ALLOW_GROWTH'] = "true"
# os.environ['TF_CPP_MIN_LOG_LEVEL'] = '4'
from src.utils.core.trainercore import trainercore
import datetime
import tensorfl... |
import os
from dotenv import load_dotenv
load_dotenv()
DB_USER = os.environ["DB_USER"]
DB_PASS = os.environ["DB_PASS"]
DB_HOST = os.environ["DB_HOST"]
DB_PORT = os.environ["DB_PORT"]
DB_NAME = os.environ["DB_NAME"]
DB_SOCKET_DIR = os.environ.get("DB_SOCKET_DIR", "/cloudsql")
CLOUD_SQL_CONNECTION_NAME = os.environ["CL... |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
import wx
import os
import abcxrc
import wx.xrc as xrc
import modules.group as group
import modules.log4py as log4py
import string
import codecs
import tools.encdet as encdet
log = log4py.log4py('[abclfrm]')
class abclfrm(abcxrc.xrcmframe):
def __init__(self,parent):... |
#<ImportSpecificModules>
from ShareYourSystem.Standards.Classors.Representer import _print
from ShareYourSystem.Standards.Objects import Commander
#</ImportSpecificModules>
#Print a version of the class
_print(dict(Commander.CommanderClass.__dict__.items()))
#Print a version of this object
_print(Commander.CommanderC... |
import torch.multiprocessing as mp
#actor critic version of tictactoe
from actorcriticutils import ActorCritic,worker
if __name__ == '__main__':
Masta = ActorCritic(9,30,29,26,9,1)
Masta.share_memory()
processes=[]
params={'epochs':2000,'workers':2}
counter=mp.Value('i',0)
for i in range(param... |
# -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
import os
import decimal
decimal.getcontext().prec = 3
const1 = 1.013
const2 = 1.02
path = 'D:\Data\liuyangshuju'
files = os.listdir(path)
save_dir = 'D:\Data\AfterProcess'
#print files
N = len(files)
for i in range(N):
new_path ... |
"""
Author: Leigh Stauffer
Project 3-1
File: game.py
This program plays a guessing game with the user. The program thinks of a
number between 1 and 100. The user inputs guesses until a guess equals the
number. The program then displays the total number of guesses. However, if
the user is unable to correctly guess t... |
import unittest
class Task01Test(unittest.TestCase):
def test_first_cycle(self):
banks = [0, 2, 7, 0]
redistribute(banks)
self.assertEqual([2, 4, 1, 2], banks)
def test_second_cycle(self):
banks = [2, 4, 1, 2]
redistribute(banks)
self.assertEqual([3, 1, 2, 3],... |
from django.shortcuts import render_to_response
from django.http import HttpResponse
from blog.models import posts
# Create your views here.
def home(request):
return render_to_response('blog.html', {'posts':posts.objects.all()})
|
"""
Implementation of SFM to investigate oscillations.
"""
#-------------------------------------------------------------
# from numpy import *
from numpy import *
import numpy as np
import logging
import time
import matplotlib.pyplot as plt
from sys import *
#----------------------- Parameter ----------------------... |
# 프로필
import numpy as np
import pandas as pd
from pandas import Series, DataFrame
from numpy import nan as NA
import matplotlib.pyplot as plt
import re
import mglearn
import os
os.chdir("./pjt_data")
# 데이터 가져오기
train = pd.read_csv("train.csv")
train.head()
train.info()
# 깊은 복사
apart = train[:]
# 컬럼명 수정
apart.column... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from .networks_other import init_weights
def passthrough(x, **kwargs):
return x
class InputTransition(nn.Module):
"""
modified compared to original vnet
res connection added differently
"""
def __init__(self, outChans):
... |
# def는 정의
def create():
print('db데이터 insert 처리')
def read():
print('db데이터 insert 처리')
def update():
print('db데이터 insert 처리')
def delete():
print('db데이터 insert 처리') |
from dataclasses import dataclass, field
from enum import Enum
from typing import List, Optional
from xsdata.models.datatype import XmlDate, XmlTime
from btlx.x3d_3_3 import X3DshapeNode
__NAMESPACE__ = "http://www.design2machine.com"
class AlignmentHorizontalType(Enum):
"""
Alignment of a text (left, center... |
# -*- coding: utf-8 -*-
"""
"""
# Importing Libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.compose import ColumnTransformer
from sklearn.impute import SimpleImputer
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder
from s... |
# -*- coding: utf-8 -*-
# Generated by Django 1.9.6 on 2018-08-04 07:51
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('post', '0004_auto_20180802_0018'),
]
operations = [
migrations.AlterField(
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""This function is used to generate a batch shell script
for filtering miRAW prediction result files.
Those files needs to be either in the original folder of miRAW predition
or in a single folder
This code is used in the follwoing format
python filepath1/cutoffBat... |
#!/usr/bin/env python3
x = int(input())
t = 1
while 1:
if x <= t*-~t//2:
print(t)
exit()
t += 1 |
from models.task import Task
import copy
class Repository:
"""
Class contains the working data for the application.
Structured as a list of states, where each state is
a list of tasks.
"""
def __init__(self, silent=False, empty=False):
"""
A repository adds tasks from the data.i... |
from __future__ import division, absolute_import
import numpy as np
import tflearn
from tflearn.layers.core import input_data, dropout, fully_connected, flatten
from tflearn.layers.conv import conv_2d, max_pool_2d, avg_pool_2d
from tflearn.layers.merge_ops import merge
from tflearn.layers.normalization import local_res... |
import Algorithm as alg
import numpy as np
repetions = 50
final_noise = 1.0
starting_noise = 0.0
dataset = "circles+"
linksFile = "dati/" + dataset +"/links_data.npy"
minFile = "dati/" + dataset + "/min_data.npy"
lenFile = "dati/" + dataset + "/len_data.npy"
best_links = np.zeros(repetions)
min_layers = np.zeros(re... |
from itertools import chain
import numpy as np
from tqdm import tnrange
from cvtk.utils import view_along_axis
from cvtk.cov import stack_temporal_covariances, temporal_replicate_cov
def bootstrap_ci(estimate, straps, alpha=0.05, method='pivot', axis=0, stack=True):
"""
Return pivot CIs
This confidence ... |
import django_tables as tables
from models import Hosts
class HostTable(tables.ModelTable):
id = tables.Column(sortable=False, visible=False)
hostname = tables.Column(data = "hostname")
static_ip = tables.Column(data = "static_ip")
dhcp_ip = tables.Column(data = "dhcp_ip")
status = tables.Column(da... |
import os
import json
import sys
import numpy as np
import glob
from PIL import Image
import json
sys.path.insert(0, "..")
from otn_modules.utils import get_mask_bbox, cross2otb
def gen_config(seq_name, label_id):
# generate config from a sequence name
seq_home = '../DAVIS/trainval'
save_home = '../result... |
import unittest
from main import intersection
class TestMain(unittest.TestCase):
def test_intersection(self):
print(intersection(1, 2, 3, -4, 1, -6))
if __name__ == '__main__':
unittest.main()
|
# Написать свой cache декоратор c максимальным размером кеша и его очисткой при необходимости.
# Декоратор должен перехватывать аргументы оборачиваемой функции
# Декоратор должен иметь хранилище, где будут сохраняться все перехваченные аргументы и результаты выполнения декорируемой функции
# Декоратор должен проверять ... |
#!/usr/bin/env python
# -*- coding: utf8 -*-
"""
Usage:
exdate.py FLOAT...
Options:
"""
import datetime
from docopt import docopt
import xlrd
__author__ = 'peter'
def main():
args = docopt(__doc__)
for f in args['FLOAT']:
print('{0}:\t{1}'.format(f, datetime.datetime(*xlrd.xldate_as_tuple(float(f),... |
import cv2
import numpy as np
# These 4 are too slow
# BIG anime eyes
def apBigErode(frame):
return cv2.erode(frame, kernBigEllipse)
# Makes thin things disappear
def apOpen(frame):
return cv2.morphologyEx(frame, cv2.MORPH_OPEN, kernBigEllipse)
# Very funky looking - blackens and makes... |
distancia = float(input('Qual a distância percorrida em km: '))
dias = float(input('Qual a quantidade de dias que o carro foi alugado: '))
valordias = 60.00 * dias
valordistancia = 0.15 * distancia
total = valordias + valordistancia
print(f'R${total:.2f}')
|
import sys
line = sys.stdin.readline()
print('import sys\n\n', end='')
print('l = [', end='')
while line:
line = line.split(' ')
print((int(line[1]) % 100000007), end=', ')
line = sys.stdin.readline()
print('}')
print('line = sys.stdin.readline()')
print('while line:')
print('\tprint(l[int(... |
from exts import db
from datetime import datetime
class Article_type(db.Model):
id = db.Column(db.Integer, autoincrement=True, primary_key=True)
type_name = db.Column(db.String(20), nullable=False)
# relationship
articles = db.relationship('Article', backref='article_type')
class Article(db.Model):
... |
from datetime import datetime
from django.shortcuts import render_to_response
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from django.core.exceptions import ObjectDoesNotExist
from django.http import HttpResponseRedirect, HttpResponseNotAllowed, HttpResponseBad... |
import cv2
import numpy as np
import pyrealsense2 as rs
from socialresearchcv.processing import Utils
from socialresearchcv.processing.CONFIG import CONFIG
from scipy.spatial import ConvexHull
class PoseViewer:
def __init__(self, intrinsics):
self.depth_intrinsics = intrinsics
def get_point(self, x,... |
import onmt
import torch
import torch.nn as nn
from onmt.modules.sparse_losses import SparsemaxLoss
from onmt.utils.loss import LabelSmoothingLoss, LossComputeBase, shards
def build_loss_compute(model, tgt_field, opt, train=True):
"""
Returns a LossCompute subclass which wraps around an nn.Module subclass
... |
# format
# day hour minute second cmd
#
# time format
# * or */2 or 2
# * - run direct
# */2 - run at every 2 (days, hours, minutes, seconds)
# 2 - run at 2 (day, hour, minute, second)
#
# sample: * * * */5 gedit, means run gedit every 5 seconds
# * * * 5 gedit, means run gedit at 5 second in every min... |
from flask import Flask, abort, request
import json
app = Flask(__name__)
data_ph = [
{
"id" : 1,
"ph" : "8",
}
]
@app.route('/ph', methods=['GET'])
def index():
str_ph = json.dumps(data_ph)
return(str_ph)
@app.route('/ph/<int:id>', methods=['GET'])
def get_ph(id):
ph = None
... |
# 用户输入一个字符串和一个子串，打印出给定子串在目标字符串中出现的次数
# 如，ABCDCDC和CDC，输出结果为2
str=input("请输入字符串：")
s=input("请输入子串：")
num=0
for i in range(len(str)):
temp=str[i:i+3]
if s in temp:
num+=1
print(num)
|
#!/usr/bin/env python
# encoding: utf-8
"""
utils.py
Created by jack ju on 2015-03-16.
Copyright (c) 2015 TIKY. All rights reserved.
"""
import threading
import time
class Status(object):
"""
状态机，封装起来为了保证多线程安全
"""
INITINAL = 0 # 初始状态
CHECKING = 1 # Check 密码的阶段
INSERVICES = 2 ... |
"""Python Script to generate a thumbnail of a webpage"""
__author__ = "Surya Raman"
__license__ = "MIT"
import sys
import requests as rq
from bs4 import BeautifulSoup
from newspaper import Article
def send_request(url):
"""Function to get the html page"""
try:
resp = rq.get(url)
return resp,... |
# %%
import os
import math
import numpy as np
import pandas as pd
from glob import glob
import dataretrieval.nwis as nwis
import datetime
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
from sklearn import metrics
import json
import urllib.request as req
import urllib
import eval_func... |
import os
from dotenv import load_dotenv
from starlette.datastructures import CommaSeparatedStrings, Secret
ACCESS_COOKIE_EXPIRE_SECONDS = 60 * 60 # one hour in seconds
REMEMBER_ME_COOKIE_EXPIRE_SECONDS = 60 * 60 * 24 * 7 # one week in seconds
load_dotenv('.env')
MAX_CONNECTIONS_COUNT = int(os.getenv('MAX_CONNECTIO... |
from utilities import parse_arg
from file_utils import *
import os
from random import shuffle
import pickle
data_base_dir = parse_arg('--data-base-dir', '/Users/balazs/real_data')
pkl_file = os.path.join(data_base_dir, "data_trainingvalidation.pkl")
if not file_exists(pkl_file):
print("file does not exist" + pkl_... |
''' Question: 체육복
* https://programmers.co.kr/learn/courses/30/lessons/42862
'''
def solution(n, lost, reserve):
lost_ = list(set(lost) - set(reserve))
reserve_ = list(set(reserve)-set(lost))
attendees = n - len(lost_)
reserve_.sort(reverse=True)
for borrower in lost_:
for lender in r... |
'''
InvertedIndexingGoogle.py
reporduce the logic in chapter
eric, park, tod, franco
'''
from mrjob.job import MRJob
from mrjob.step import MRStep
import os #needed to get the name of the file
import re #to get words
WORD_RE = re.compile(r"[a-z|A-Z]+")
class MRMostUsedWord(MRJob):
'''
get the name of the fil... |
from django.db import models
from django.contrib.auth.models import User
class Item(models.Model):
name = models.CharField(max_length=100)
owner = models.ForeignKey(User, null=True)
description = models.TextField()
price = models.DecimalField(max_digits=5, decimal_places=2)
image = models.ImageFie... |
import cv2
cap = cv2.VideoCapture(0)
cap.set(3,640) # 设置宽度参数代码3，宽度640
cap.set(4,480) #高度
cap.set(10,100) #亮度
handCascade = cv2.CascadeClassifier('Resource/cascade.xml')
#handCascade.load(r'F:\BaiduYunDownload\Hands.zipHands\xml6\cascade.xml')
while True:
success, img = cap.read()
#cv2.imshow("Video... |
from flask import render_template, request, redirect, session
from private_wall_app import app
from private_wall_app.models.Message import Message
from private_wall_app.models.User import User
from flask_bcrypt import Bcrypt
from flask import flash
bcrypt = Bcrypt(app)
@app.route("/", methods=['GET'])
def load_main_p... |
import warnings
from typing import Optional, Union
from urllib import parse as urllib_parse
from cas import CASClient
from django.conf import settings as django_settings
from django.contrib.auth import (
BACKEND_SESSION_KEY,
REDIRECT_FIELD_NAME,
SESSION_KEY,
load_backend,
)
from django.contrib.auth.mod... |
import torch
from torch import nn
import torch.nn.functional as F
from torch.autograd import Variable
# cross entropy and center loss
class CrossEntropyDistill(torch.nn.Module):
"""Cross entropy loss with label smoothing regularizer.
Reference:
Szegedy et al. Rethinking the Inception Architecture for Comp... |
# run: python setup.py bdist_wheel to package into a distributable module
from setuptools import setup
setup(
name="Webotron",
version="1.0",
author="Adam Wickenden",
author_email="adam@wickenden.com",
description="Automation of bucket/static site creation",
license="GPLv3+",
packages=["we... |
"""
Created on Jun 21, 2016
Files for training data
@author: Levan Tsinadze
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from cnn.utils.file_utils import files_and_path_utils
# Constants for files
PATH_FOR_PARAMETERS = 'trained_data'
P... |
# -*- coding: utf-8 -*-
# Basic implementation taken from
# http://davisagli.com/blog/using-tiles-to-provide-more-flexible-plone-layouts
from AccessControl import Unauthorized
from Acquisition import aq_inner
from Acquisition import aq_parent
from collective.cover import _
from collective.cover.config import PROJECTNAM... |
import numpy as np
import matplotlib.pyplot as plt
import scipy
from numpy.testing._private.nosetester import NoseTester
import math
import cmath
import scipy.interpolate
import scipy
from scipy import signal
from quantiphy import Quantity
SNRdb = 25
doppler_Frequency = 10
carrier_Freq = Quantity(100e6, '... |
import random
char = ['Mario', 'Luigi', 'Peach', 'Yoshi', 'Bowser', 'Donkey Kong', 'Toad', 'Koopa Troopa', 'Daisy', 'Wario', 'Rosalina', 'Metal Mario', 'Shy Guy', 'Honey Queen', 'Wiggler', 'Lakitu', 'Mii']
body = ['Standard', 'Gold Standard (Gold Kart)', 'Birthday Girl (Royal Ribbon)', 'Bumble V', 'Bruiser (Growl... |
import ast
import os
import Game.config.config as config
import Game.config.internal as internal
import Game.program.misc.exceptions as exceptions
import Game.program.misc.helpers as helpers
_sentinel = object()
def map_names():
map_names = []
for dirpath, dirnames, filenames in os.walk(internal.Maps.MAP... |
def solution(gems):
answer = [1,len(gems)]
dic = {i:0 for i in gems}
pick = set()
s,e = 0,0
kind_n = len(dic)
while e<=len(gems):
if len(pick) == kind_n:
if answer[1]-answer[0] > e-s-1:
answer= [s+1, e]
dic[gems[s]] -=1
if dic[gems[s]] ... |
from Dane import *
import matplotlib.pyplot as plt
import numpy as np
import datetime
start = datetime.datetime.now()
print('starting operation: ', start)
# Read data from file
data_generators = open('data/2018_5_generators.csv', 'rt')
data_requirements = open('data/2018_5.csv', 'rt')
power_requirement = np.loadtxt(d... |
import sys
from collections import Counter
from typing import List, Dict, Tuple
from arg.pf_common.base import ScoreParagraph
from cache import load_from_pickle, save_to_pickle
from list_lib import lmap
from misc_lib import TimeEstimator
from models.classic.stopword import load_stopwords
from tlm.retrieve_lm.stem impo... |
import sqlite3
import click
from flask import current_app, g, logging
from flask.cli import with_appcontext
def get_db() -> sqlite3.Connection:
"""Connect to the application's configured database. The connection
is unique for each request and will be reused if this is called
again.
"""
if 'db' not... |
from django.test import TestCase
from django.urls import reverse
from django.urls.exceptions import NoReverseMatch
class SearchHelpPageTestCase(TestCase):
def test_search_help_returns_200(self):
response = self.client.get(
reverse("search_help"),
{
"query": "fa",
... |
import pandas as pd
import numpy as np
class Log1p_Norm:
def __init__(self):
self.Max = 0
def fit(self, data: pd.DataFrame, column_name: str):
self.Max = data[column_name].max()
def transform(self, data: pd.DataFrame, column_name: str):
# do not need change new maximum value to o... |
import os
import argparse
import subprocess
import numpy as np
import pandas as pd
from tqdm import tqdm
from pyntcloud import PyntCloud
import pc_io
parser = argparse.ArgumentParser(
prog='eval.py',
description='Eval decompressed point clouds PSNR and bitrate.',
formatter_class=argparse.ArgumentDefaultsH... |
from flask import Flask, render_template
app=Flask(__name__)
@app.route("/")
def home():
return render_template('ImageBol.html')
@app.route("/About")
def about():
return render_template('AboutUs.html')
app.run(debug=True)
|
# -*- coding: utf-8 -*-
# Generated by Django 1.10.2 on 2016-10-11 16:27
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('activity', '0003_remove_activity_groupid'),
('signI... |
from django.shortcuts import render
#from qr_code.qrcode.utils import QRCodeOptions
from django.contrib import messages
from django.http import HttpResponse
import pyqrcode
import qrcode
from django.contrib import auth
# Create your views here.
def QRcode(request):
data = request.POST.get('data') # gets input fro... |
import os
import sys
path = os.path.join(os.path.dirname(__file__), '../../../../..')
sys.path.extend([path])
from automation.core.src.test_details import zid, category
from automation.fluent_ml.prm.atoms.artifact import PRM
@zid('98413')
@category('work')
def test_card_type_field():
"""
Verify LK Card Type... |
import io
import os
import pyaudio
import wave
import audioop
from google.cloud import speech
from google.cloud.speech import enums
from google.cloud.speech import types
#audio format
def record_audio():
CHUNK = 1024
FORMAT = pyaudio.paInt16
CHANNELS = 1
RATE = 44100
RECORD_SECONDS = 10
W... |
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.modules.batchnorm import BatchNorm2d
from torch.nn.modules.conv import Conv2d
from torch.nn.modules.utils import _pair
class MaxPool(nn.Module):
"""
MaxPool
"""
def __init__(self, kernel_size, stride, padding):
super(MaxPool, ... |
import unittest
# Assume you have a method isSubstring which checks if one word is a substring of
# another. Given two strings, s1 & s2, write code to check if s2 is a rotation of
# s1 using only one call to isSubstring (e.g. "waterbottle" is a rotation of "erbottlewat")
def string_rotation(st1, st2):
if len(st1)... |
#coding=utf-8
a=input('请输入字符串>>')
'''
if a=='':
print('为空！')
'''
'''
if len(a)==0:
print('为空')
elif a[0]=='A' or a[0]=='E':
print('yes')
else:
pass
'''
if len(a)==0:
print('null')
elif a[0] in 'aeiouAEIOU':
print(a+'ay')
else:
print(a[1:]+a[0]+'ay')
|
import mysql.connector
import sys, csv, os
from datetime import date, timedelta
from priv import *
# configs for database
db = mysql.connector.connect(host=host, user=user, passwd=grantPass, db="real_estate")
print("Connected to database \n")
cur = db.cursor()
today = date.today()
first_day = today.replace(day=1)
la... |
"""
class1
class2
class3
Training Set Points
(2, 2), (4, 4), (2, 4)
(6, 5), (5.4, 5.6), (3.6, 6.4)
(1.8, 8), (5.6, 8.2)
"""
class1 = [[2,2],[4,4],[2,4]]
class2 = [[6,5],[5.4,5.6],[3.6,6.4],[4.4,6]]
class3 = [[1.8,8],[5.6,8.2]]
train = [class1, class2, class3]
def dist(p1,p2):
return abs(p2[0]-p1[0])+abs(p2[1]-p1... |
#!/usr/bin/env python
# encoding: utf8
#
# Copyright © Burak Arslan <burak at arskom dot com dot tr>,
# Arskom Ltd. http://www.arskom.com.tr
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are ... |
"""Pytorch Resnet_RS
This file contains pytorch implementation of Resnet_RS architecture from paper
"Revisiting ResNets: Improved Training and Scaling Strategies"
(https://arxiv.org/pdf/2103.07579.pdf)
"""
from functools import partial
import torch.nn as nn
import torch.nn.functional as F
from .base import StemBlock... |
# -*- coding: utf-8 -*-
"""
Mudtable
This is an advanced ASCII table creator. It was inspired
by prettytable but shares no code.
Example usage:
table = MudTable("Heading1", "Heading2", table=[[1,2,3],[4,5,6],[7,8,9]], border="cells")
table.add_column("This is long data", "This is even longer data")
tab... |
"""
Python solution for DMOPC '13 Contest 3 Problem 3 - Crossing Field
Submit with PyPy 3 to avoid TLE.
"""
import sys
_lines = sys.stdin.read().split("\n")
_line = -1
def input():
global _line
_line += 1
return _lines[_line]
n, h = input().split()
n = int(n)
h = int(h)
grid = [[int(i) for i in input().s... |
from django.shortcuts import render, get_object_or_404, redirect
from django.utils import timezone
from .models import Blog
# 홈페이지 함수
def home(request):
blogs = Blog.objects
return render(request, 'blog/home.html', {'blogs': blogs})
# 디테일 페이지 함수
def detail(request, blog_id):
blog_detail = get_object_... |
# Generated by Django 3.1.6 on 2021-02-12 13:37
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('meme_api', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='meme',
name='url',
field... |
#Normal Function
# def fun1():
# print('hello')
# fun1() #Call a function hello is printed
# print(fun1()) #call a function hello is printed but function don't return anything so print returns none
# print(fun1) #fun1 is an object whose address will be printed.
# def func2(arg1, a... |
# -*- coding: utf-8 -*-
"""
Created on Sat Jul 23 23:04:15 2016
@author: aditya
"""
import pandas as pd
from sklearn.linear_model import LogisticRegression
train_m = train.ix[:,['ID','Company_Level','Applicant_Gender',
'Applicant_Marital_Status',
'Applicant_Qualification',
'local',
'product1',
'Manage... |
class Game:
def __init__(self, move_count,
last_player_elimination_score, player_elimination_score,
trooper_elimination_score, trooper_damage_score_factor,
stance_change_cost, standing_move_cost, kneeling_move_cost, prone_move_cost,
commander_aura_... |
from django.contrib import admin
from .models import timePick , timeTest , sugarTest
# Register your models here.
admin.site.register(timePick)
admin.site.register(timeTest)
admin.site.register(sugarTest)
|
from os import sep, pardir
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
# Declare the path to the sqlite database file.
#path = pardir + sep + 'db' + sep + 'files' + sep
path = '.' + sep + 'db' + sep + 'files' + sep
# Declare the ... |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'backups_all.ui'
#
# Created by: PyQt5 UI code generator 5.11.3
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
from typecho.logic.operation import Operation
class Ui_backups_all(object):
... |
import pandas as pd
import numpy as np
import math
import pickle
from scipy import stats
import scipy.io
from scipy.spatial.distance import pdist
from scipy.linalg import cholesky
from scipy.io import loadmat
import matlab.engine as engi
import matlab as mat
from sklearn.linear_model import LogisticRegression
from s... |
import shutil
pyorbit = True
simulation_parameters = False
flat_files = False
tune_files = False
distn_gen = False
master_directory = './00_Master'
pyorbit_file = master_directory + '/pyOrbit.py'
sim_params_file = master_directory + '/simulation_parameters.py'
flat_file = master_directory + '/Flat_file.madx'
tune_fil... |
# -*- coding: utf-8 -*-
from qiniu import Auth, create_timestamp_anti_leech_url
from qiniu.compat import is_py2
from qiniu.compat import is_py3
import time
def urlencode(str):
if is_py2:
import urllib2
return urllib2.quote(str)
elif is_py3:
import urllib.parse
return urllib.par... |
# Author: Wei Huang, Walter Castillo, Nicholas Matthew Gomez
# Semester Year: Spring 2021
# CRN: 37239
# Purpose: Allow two player to play Scrabble Game by entering words
def inputRounds():
x = int(input("Enter number of rounds: ")
if type(x)!=int
return x=2
def inputWord(currPlayer,lastWordEntered,Player1)
... |
from flask import Flask, render_template, request, send_file
from sqlalchemy import create_engine
from sqlalchemy_utils import database_exists, create_database
import pandas as pd
import psycopg2
from flask import request
from io import BytesIO
import matplotlib.pyplot as plt
import base64
import matplotlib
matplotlib.... |
# -*- coding: utf-8 -*-
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
def ambiguous_match(string, pattern, wildcards):
"""
Match strings via a custom, regular-expression-like syntax based on
wildcard characters (e.g., * and ? and # etc.... |
from django.contrib.auth import authenticate, login, logout, update_session_auth_hash
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from django.shortcuts import HttpResponse, redirect, render
from django.urls import reverse_lazy
from django.contrib.auth.forms impo... |
# print a regular string
print('Mary had a little lamb.')
# print the format string with the new string snow
snow = "snow"
print("Its fleece was white as {}.".format(snow))
# print the normal string
print("And everywhere that Mary went.")
# print the . 10 times
print("." * 10) # what does that do?
# declaring 12 varia... |
class Template(object):
def requiredAttributes(self):
raise NotImplementedError();
def getSequenceGenerator(self, options):
raise NotImplementedError();
class NSequencesTemplate(object):
def requiredAttributes(self):
return ['numSeq']+self.getAdditionalRequiredForSingleSequence();... |
'''
Created on Oct 29, 2017
ID3
@author: mabing
'''
from math import log
import operator
'''
计算给定数据集的信息熵
@param dataSet：数据集（包括类别）
'''
def calcShannonEnt(dataSet):
numEntries = len(dataSet)
labelCounts = {} # key：类别，value：类别出现的次数
for featVec in dataSet: # 遍历数据集，统计类别出现的次数
currentLabel = featVec[-1... |
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