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#!/usr/bin/python3
# -*- coding: utf-8 -*-
from flask import g
from flask_restful import Api, Resource
from flask_restful import abort, reqparse, fields, marshal_with, marshal
from models import PersonalUser, EnterpriseUser, UserAuthInfo
from models import UserSocialInfo, UserIMConfig, UserPushConfig
from models impor... |
import torch
import torchvision
import torch.utils.data as data
import os
from os.path import join
import argparse
import logging
from tqdm import tqdm
#user import
from data_generator.DataLoader_Pretrain_Alexnet import CACD
from model.faceAlexnet import AgeClassify
from utils.io import check_dir,Img_to_zero_center
#s... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
FOR PROJECT WRITE-UP ONLY
Generating a few illustrative plots of activation
functions and what image elements they can produce.
Created on Tue Sep 22 20:58:33 2020
@author: riversdale
"""
import numpy as np
import matplotlib.pyplot as plt
from src.imaging import Ima... |
import timeit
setup = '''
import numpy as np
# from numba import jit
# @jit
def bubblesort(X):
N = len(X)
for end in range(N, 1, -1):
for i in range(end - 1):
cur = X[i]
if cur > X[i + 1]:
tmp = X[i]
X[i] = X[i + 1]
X[i + 1] = tmp... |
# -*- coding: utf-8 -*-
class Node(object):
def __init__(self, data, left=None, right=None):
self.data = data
self.left = left
self.right = right
tree = Node(1, Node(3, Node(7, Node(0)), Node(6)), Node(2, Node(5), Node(4)))
def lookup(root):
"""
层次遍历
"""
stack = [root]
... |
from kmk.keys import KC
from kb import KMKKeyboard
from kmk.hid import HIDModes
from kmk.modules.layers import Layers
from kmk.modules.modtap import ModTap
keyboard = KMKKeyboard()
modtap = ModTap()
layers_ext = Layers()
keyboard.modules = [layers_ext, modtap]
# Cleaner key names
_______ = KC.TRNS
CTL_Z = KC.MT(KC... |
from InBedManagementTreeView import InBedManagementTreeView
from PyQt4.QtCore import *
from PyQt4.QtGui import *
from Gui.ItemModels.BoundaryTypeInBedItemModel import *
class BoundaryTypeInBedItemView(InBedManagementTreeView):
def __init__(self, parent):
InBedManagementTreeView.__init__(self, parent)
... |
from django.apps import AppConfig
class IndividualworkappConfig(AppConfig):
name = 'individualworkapp'
|
for x in range(10):
print(x+1)
print(
)
word = input('Введите любое слово: ')
for letter in word:
print(letter)
print(
)
rating = [{'shool_class': '4a', 'scores': [2, 3, 3, 5, 4]},
{'shool_class': '4b', 'scores': [2, 4, 5, 5, 4]},
{'shool_class': '4v', 'scores': [2, 2, 3, 5, 3]}]
a = 0
for result in rati... |
# -*- coding: utf-8 -*-
from zope.interface import Interface
class IDoormat(Interface):
"""Marker interface for .Doormat.Doormat
"""
class IDoormatColumn(Interface):
"""Marker interface for .DoormatColumn.DoormatColumn
"""
class IDoormatSection(Interface):
"""Marker interface for .DoormatSecti... |
"""
1.设置日志的收集级别
2.可以将日志输出到文件和控制台
3.一下这些方法:
info()
debug()
error()
warning()
critical()
额外扩展:单列模式
"""
import logging
from logging import Logger
from day15.myconf import Myconf
class MyLogger(Logger):
def __init__(self):
conf = Myconf("conf.ini")
file = co... |
class student:
def __init__(self, name, grade):
self.name = name
self.grade = grade
# finish the logic in the class
def __repr__(self):
return self.name
def __lt__(self,another_student):
return self.grade < another_student.grade
AList = [student("Mary", 80),... |
from django.urls import path
from webapp import views
urlpatterns = [
path('', views.hello_world, name='hello_world'),
path('savedata', views.savedata, name='savedata'),
path('savedata/', views.savedata, name='savedata'),
]
|
#!/usr/bin/python
# -*- coding: utf-8 -*-
# this imports verbs for loading by lib/verbs/verbs.py
# pylint: disable=unused-import
# pylint doesn't know where this file is imported from
# pylint: disable=import-error
# "verbs" (lowcase) is standard among all files
# pylint: disable=invalid-name
"""
[load_packages.py]... |
# -*- coding: utf-8 -*-
from hmonitor.autofix.scripts import AutoFixBase
class JustShowEventInfo(AutoFixBase):
def do_fix(self, trigger_name, hostname, executor, event, *args, **kwargs):
raise Exception("ERROR TEST")
def get_author(self):
return "Qin TianHuan"
def get_version(self):
... |
flag = True
while flag:
try:
sec = int(input('Input time in seconds:' ))
flag = False
except:
print('Entered time is not a number!!!')
print(f'{sec//3600:02}:{(sec//60)%60:02}:{sec%60:02}') |
import sys
sys.stdin = open('주사위 던지기2.txt')
def myprint(q):
tmp = 0
t = []
while q != 0:
q -= 1
t.append(T[q])
tmp += T[q]
if tmp>m:
break
if tmp==m:
result.append(t)
def PI(n, r, q):
if r == 0:
myprint(q)
else:
for i in range... |
import unittest
import parseGEDCOM
class us07Test(unittest.TestCase):
def testUS07(self):
self.assertEqual(parseGEDCOM.checkUS07(),
"ERROR: INDIVIDUAL: US07: @I20@: More than 150 years old at death - Birth 1800-07-28: Death 1980-10-27\n"+
"ERROR: INDIVIDUAL: US07: @I21@: More than 150 ye... |
"""
Definition of ListNode
class ListNode(object):
def __init__(self, val, next=None):
self.val = val
self.next = next
"""
class Solution:
"""
@param head: The first node of the linked list.
@return: nothing
"""
def reorderList(self,head):
# basic steps:
# step ... |
import urllib
import requests
import pandas as pd
import sys
# scrape movie posters and corresponding meta data
def scrape_meta_posters(mids):
'''
Scrape posters and metadata from IMDB using OMDB API
Input: IMDB ids
Output: meta data and posters
'''
meta_info = []
for id_ in mids:
... |
"""
Project Euler's Problem 014
Sebuah barisan iteratif berikut didefinisikan untuk himpunan bilangan bulat positif dengan aturan:
n → n/2 (n ∈ bilangan genap)
n → 3n + 1 (n ∈ bilangan ganjil)
Menggunakan aturan di atas, dimulai dari 13, maka kita akan mendapatkan barisan:
13 → 40 → 20 → 10 → 5 → 16 → 8 → ... |
import requests
import brotli
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
from bs4 import BeautifulSoup
sess = requests.Session()
http_proxy = "http://163.172.110.14:1457"
proxyDict = {
"http": http_proxy,
"https":... |
import asyncpg
import pandas as pd
from liualgotrader.common import config
from liualgotrader.common.tlog import tlog
async def create_db_connection(dsn: str = None) -> None:
config.db_conn_pool = await asyncpg.create_pool(
dsn=dsn or config.dsn,
min_size=2,
max_size=40,
)
tlog("... |
import os
from typing import Union, List, Callable, Optional, Tuple
import hydra
import torch
from kornia.losses import BinaryFocalLossWithLogits
import yaml
with open(os.path.join(
'/home/rishabh/Thesis/TrajectoryPredictionMastersThesis/src/position_maps/',
'config/model/model.yaml'), 'r') as f:
... |
totalMarks = 0
numberOfStudents = 0
marks = int(input("Enter the marks of students or a negative value to quit: "))
while marks >=0:
totalMarks += marks
numberOfStudents += 1
marks = int(input())
print("The total number of students is: {}".format(numberOfStudents))
print("The total marks of studen... |
import sys
nome = "Bruno Wayne"
idade = 30
peso = 92.3
list = ["youngling", "padawan", "knight", "master"]
categorias = ("youngling", "padawan", "knight", "master")
print("a var nome é do tipo {} e tem {} bytes".format(type(nome), sys.getsizeof(nome)))
print("a var idade é do tipo {} e tem {} bytes".format(type(idade... |
# Generated by Django 3.1.7 on 2021-03-04 06:44
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("committees", "0008_auto_20210112_1221"),
]
operations = [
migrations.AlterField(
model_name="committee",
name="date_... |
# -*- coding: utf-8 -*-
import socket # Nécessaire pour ouvrir une connexion
import PoolAdresse #On fait appel aux fonctions présentes dans PoolAdresse.py
import csv #Nécessaire pour manipuler facilement les fichiers CSV
import smtplib
import datetime
import requests
from email.mime.multipart import MIMEMultipart
from... |
# -*- coding: utf-8 -*-
import theano
theano.config.floatX= 'float64'
#out_sc_x is the Parsey McParseface parsing result of original sentence
#out_sc_y is the Parsey McParseface parsing result of summary
###############################################################################
f=open("./out_sc_x.txt",mode="r")
... |
#Escriba un programa en Python donde el usuario introduce un número n
#y el programa imprime los primeros n números triangulares, junto con
#su índice. Los números triangulares se originan de la suma de los números
#naturales desde 1 hasta n.Ejemplo: Si se piden los primeros 3 números
#triangulares, la salida es: 1 -... |
# Postorder Traversal
# Problem Description
# Given a binary tree, return the Postorder traversal of its nodes values.
# NOTE: Using recursion is not allowed.
# Problem Constraints
# 1 <= number of nodes <= 10^5
# Input Format
# First and only argument is root node of the binary tree, A.
# Output Format
# Return an... |
# 20 choose 3 with reps
counter = 10
for i in range(1, 16):
for j in range(i, 16):
for k in range(j, 16):
print(i, j, k)
counter += 1
print(counter)
|
import os,sys
import ROOT
from array import array
import argparse
from datetime import datetime
import pandas as pd
import numpy as np
import pdb
sys.path.append(os.getcwd())
print(os.getcwd())
os.sys.path.append(os.path.expandvars('$CMSSW_BASE/src/ZCounting/'))
from ZUtils.python.utils import to_RootTime
ROOT.gROO... |
import gzip
import cv2
import _pickle
import tensorflow as tf
import numpy as np
# Translate a list of labels into an array of 0's and one 1.
# i.e.: 4 -> [0,0,0,0,1,0,0,0,0,0]
def one_hot(x, n):
"""
:param x: label (int)
:param n: number of bits
:return: one hot code
"""
if type(x) == list:
... |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
# date :2018/1/
# discriptions :
# vision :
# copyright :All copyright reserved by FMSH company
__author__ = 'zuodengbo'
def TAC_enc(keys, datas):
assert len(keys) == 32
assert len(datas) == 48
length = len(keys) / 2
first_half_key = keys[:l... |
class UCDay_Hourly:
def __init__(self, ucday):
self.date = ucday.date
self.hourly_map = {}
for i in range(0, 24):
self.hourly_map['hr'+str(i)] = ucday.hours[i]
|
import openpyxl as xl
import csv
import numpy as np
## flags {
TOP3 = False
TOP2 = True
TOP1 = True
## flags }
def main(dargs):
input_excel_name = dargs["INPUT_EXCEL_NAME"]
output_excel_name = dargs["OUTPUT_EXCEL_NAME"]
input_csv_name = dargs["INPUT_CSV_NAME"]
## READ Excel file
wb... |
"""
This code represents a set of functions to implement the toy problem for the Xor gate, it uses an Artificial Neural Network
in which the parameters are set by a Genetic Algorithm, in this case, the weights are being set. This must be used with
the interface, as it does not print any result on the screen and works ... |
# Capture mouse clicks and draw a dot on the image
import numpy as np
import argparse
import cv2
file_name = '..\image4\parking.jpg'
points = []
def onMouseClick (event, x, y, flags, param):
global points # grab references to the global variable
if event == cv2.EVENT_LBUTTONUP:
points.append((x, ... |
#!C:\Users\Vaibhavi Raut\AppData\Local\Programs\Python\Python37
'''
WAP to accept a string from user and convert it to lowercase and uppercase.
'''
word = input("Enter a word: ")
print(type(word))
if word.islower():
print("UpperCase is ",word.upper())
elif word.isupper():
print("LowerCase is ",... |
import re
def remove_comments(filename):
with open(filename, 'r') as f:
data = f.read()
# remove all occurance streamed comments (/*COMMENT */) from string
data = re.sub(re.compile("/\*.*?\*/", re.DOTALL) , "", data)
# remove all occurance singleline comments (//COMMENT\n ) from str... |
import setuptools
with open('VERSION', 'r') as verfile:
version = verfile.read()
with open("README.md", 'r') as fh:
long_description = fh.read()
setuptools.setup(
name="gqla",
version=version,
author="Alexey Kuzin",
author_email="alenstoir@yandex.ru",
description="A module used to generat... |
# Generated by Django 3.0 on 2020-09-12 01:51
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('coffee', '0002_coffeepod'),
]
operations = [
migrations.AlterField(
model_name='coffeepod',
name='product_type',
... |
import tensorflow as tf
import numpy as np
num_units = 256
# num_units = 200
attention_len = 512
def matU(shape=[num_units,attention_len], stddev=0.1, mean=0):
initial = tf.truncated_normal(shape=shape, mean=mean, stddev=stddev)
with tf.variable_scope('attention', reuse=tf.AUTO_REUSE):
return tf.get_... |
# draw circles on a canvas
import numpy as np
import cv2
canvas = np.zeros((300, 300, 3), dtype = "uint8") # (y,x,3)
cx, cy = canvas.shape[1]/2, canvas.shape[0]/2
blue = [250,0,0]
for rad in range(0,150,20):
cv2.circle(canvas, (cx,cy), rad, blue)
cv2.imshow("My Art", canvas) # reuse the same w... |
import cv2
import glob
import random
import numpy as np
emotions = ["neutral", "anger", "contempt", "disgust", "fear", "happy", "sadness", "surprise"] #Emotion list
#fishface = cv2.face.FisherFaceRecognizer_create() #Initialize fisher face classifier
fishface = cv2.createLBPHFaceRecognizer()
faceCascade = cv2.CascadeC... |
# -*- coding:utf-8 -*-
# -------------------------------
# ProjectName : autoDemo
# Author : zhangjk
# CreateTime : 2020/10/3 16:08
# FileName : wjx
# Description :
# --------------------------------
import turtle
import time
turtle.pensize(5)
turtle.pencolor("yellow")
turtle.fillcolor("red")
turtle.begin_fill()
fo... |
# -*- coding: utf-8 -*-
import numpy as np
import scipy
import astropy.units as u
def deltaMag(p, Rp, d, Phi):
"""Calculates delta magnitudes for a set of planets, based on their albedo,
radius, and position with respect to host star.
Args:
p (ndarray):
Planet albedo
... |
# model form : model, form(parent)
from django.contrib.auth.models import User
from django import forms
class SignUpForm(forms.ModelForm):
# additional field password -> 우선순위가 더 높다
password = forms.CharField(label='Password', widget=forms.PasswordInput)
password2 = forms.CharField(label='Repeat Password',... |
#!/usr/bin/python
from api.utils.test_base import BaseTestCase
class TestEmployees(BaseTestCase):
def setUp(self):
super(TestEmployees, self).setUp()
def test_get_employees(self):
self.assertEqual(True, True)
|
import numpy as np
import cv2
from glob import glob
input_path = './data/video/mica-cam-output.mp4'
video_cap = cv2.VideoCapture(input_path)
while(video_cap.isOpened()):
ret, frame = video_cap.read()
if not ret:
break
cv2.imshow('img', frame)
cv2.waitKey()
video_cap.release()
cv2.destroyAllW... |
import scipy.io
import numpy as np
class KittiDatasetReader:
"""
base class for Kitti DataReader
provides common function for kitti data readers
"""
@staticmethod
def get_file_content(file_path):
""" function read content of file in file_path """
with open(file_path, 'r'... |
from typing import List
from itertools import permutations
def gen_primes(limit=10000):
"""Generates all primes up to a given limit."""
candidates = set(range(2, limit))
primes = []
while len(candidates) > 0:
prime = min(candidates)
primes.append(prime)
for number in range(pr... |
#_*_encoding:cp936_*_
import random
l = ['项','万','福','侠','心','海','康','宁','冲','元','云','飞','风','峰','贵','国','雪','夏','霞']
def choice(lists,num):
i = 1
while i<=num and num<=len(l):
print random.choice(lists)
i = i + 1
n = input('请输入要选择的人数：')
choice(l,n)
|
#!/usr/bin/env python
"""
Provides useful physical constants.
"""
from math import pi
__author__ = "Sean Hooten"
__license__ = "BSD-2-Clause"
__version__ = "0.2"
__maintainer__ = "Sean Hooten"
__status__ = "development"
h = 6.62607e-34
hbar = h / (2*pi)
c = 299792458.0
q = 1.60218e-19
eps0 = 8.85419e-12
m0 = 9.10938... |
from enum import Enum
class SIZE(Enum):
# The integer values define their order in a tensor
SMALL = 0
MEDIUM = 1
LARGE = 2
def main(state, event):
del event # unused
print("size :", state["size"].name)
print("sizerequired:", state["sizerequired"].name)
print("sizelist:", str(" ".joi... |
from urllib.request import urlopen, Request
from BeautifulSoup import BeautifulSoup
import pickle
mistakes = {}
##for i in string.ascii_uppercase:
## url = "http://en.wikipedia.org/wiki/Wikipedia:Lists_of_common_misspellings/"+i
## req = Request(url, headers={'User-Agent':"Magic Browser"})
## print url
## page = B... |
import pandas as pd
from tkinter import filedialog
load_features_file = filedialog.askopenfilename()
df = pd.read_excel(load_features_file)
df = pd.DataFrame(df)
total_cols = len(df.columns)
print(total_cols)
|
#
# Copyright (c) 2013 Juniper Networks, Inc. All rights reserved.
#
import re
from setuptools import setup, find_packages
def requirements(filename):
with open(filename) as f:
lines = f.read().splitlines()
c = re.compile(r'\s*#.*')
return list(filter(bool, map(lambda y: c.sub('', y).strip(), lin... |
class Solution:
def getPermutation(self, n, k):
"""
:type n: int
:type k: int
:rtype: str
"""
if n == 1:
return "1"
nums = list(range(1, n+1))
i = 1
while i < k:
self.permutation_sequence(nums, n)
i += 1
... |
import requests
import os, sys
import json
from multiprocessing.dummy import Pool as ThreadPool
from datetime import datetime
import logging
def worker(i):
currentFile = "files\\{}.json".format(i)
if os.path.isfile(currentFile):
logging.info("{} - File exists".format(i))
return 1
url = "h... |
import pandas as pd
import numpy as np
from sklearn.gaussian_process import GaussianProcessClassifier, GaussianProcessRegressor
from sklearn.gaussian_process.kernels import RBF, WhiteKernel
from tqdm.notebook import tqdm
import scipy.optimize as op
def LineageCounts(df_data, dict_lineages, t_ranges):
'''
Funct... |
# Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
"""Utilities for testing the logging system (metrics, common logs)."""
import fcntl
import os
class Fifo:
"""Facility for creating and working with named pipes (FIFOs)."""
path = None
fifo = N... |
# -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals
from base64 import b64encode
from .base import logger, Base
#
# Abstract
#
class AbstractKey(Base):
def __init__(self, size=None, key=None, **kwargs):
self.size = size
self.key = key
super(AbstractKey, self)... |
from flask import jsonify, Response, url_for
from estimator import db
from database.models import Group, User
from flask import Blueprint
api = Blueprint('api', __name__)
@api.route('/rest/v1/group/<groupname>', methods = ['POST'])
def create_group(groupname):
user = User.query.filter_by(nickname='default').first()
... |
#!/usr/bin/env python3.7
import click
import tempfile
import subprocess
import tqdm
import json
import inspect
import array
import math
import os
import functools
def helper_for(other):
def decorator(f):
@functools.wraps(f)
def helper(*args, **kwargs):
self = f.__name__
hel... |
import sys
import os
num_walks = [10,30,100,300]
dimension = [32,64,128,256]
walk_len = [5,15,50,100]
window = [5,10,20]
iteration = [1,5,10,50,100]
p_list = [0.1,0.5,1,2,10]
q_list = [0.1,0.5,1,2,10]
input_file = "loc-brightkite_edges.txt"
for n_walk in num_walks:
dim = 128
w_len = 80
win = 10
ite =... |
from os import name
from flask_admin import model
from pymongo import MongoClient
from bson.objectid import ObjectId
import flask_admin as admin
from wtforms import form, fields
from flask_admin.form import Select2Widget
from flask_admin.contrib.pymongo import ModelView, filters, view
from bson.json_util import dumps
... |
import cv2
# Reading video
cap = cv2.VideoCapture('../data/seniorita.mp4')
# loop
while(cap.isOpened()):
ret, frame = cap.read()
if ret:
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
cv2.imshow('frame', gray)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
else:
p... |
from django.test import TestCase
from rest_framework.response import Response
from django.contrib.auth import get_user_model
from rest_framework import request, status
from rest_framework.test import APIClient
User = get_user_model()
# Create your tests here.
class JwtAuthTest(TestCase):
def setUp(self) -> None:... |
#import win32com.client
import os
import skimage
import skimage.viewer
import sys
import cv2
import csv
from matplotlib import pyplot as plt
import numpy as np
import glob
editFiles = glob.glob("D:/FOOTFALL_IMAGES/CMT_*.jpeg")
for i, fname in enumerate(editFiles):
name=fname[19:30]
img = cv2.imread(editFiles... |
# ----------------------------------------------------------------------
# NWQBench: Northwest Quantum Proxy Application Suite
# ----------------------------------------------------------------------
# Ang Li, Samuel Stein, James Ang.
# Pacific Northwest National Laboratory(PNNL), U.S.
# BSD Lincese.
# Created 05/21/2... |
import sys
from maraboupy import Marabou, MarabouUtils, MarabouCore
import numpy as np
from eval_network import evaluateNetwork
from tensorflow.python.saved_model import tag_constants
## SD QUERY : the situation is great and we were expected bitrate to be HD, but actual bitrate is SD
def create_network(filename,k):
... |
from heapq import heappop, heappush
class Solution:
def shortestDistance(self, maze, start, destination):
start, destination = tuple(start), tuple(destination)
queue = [((0,) + start)]
visited = { start:0 }
m, n = len(maze), len(maze[0])
while queue:
dis, r, c = h... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Date : 2020-03-15 21:19:23
# @Author : mutudeh (josephmathone@gmail.com)
# @Link : ${link}
# @Version : $Id$
import os
class Solution(object):
def generateAbbreviations(self, word):
"""
:type word: str
:rtype: List[str]
"""
... |
#!/usr/bin/env python3
import os
import pprint
import fnmatch
from PhysicsTools.HeppyCore.utils.dataset import createDataset
if __name__ == '__main__':
import sys
from optparse import OptionParser
import pprint
parser = OptionParser()
parser.usage = "%prog [options] <dataset>\nPrints informa... |
# -*- coding: utf-8 -*-
# See LICENSE file for full copyright and licensing details.
from odoo import api, fields, models
class ProductProduct(models.Model):
_inherit = 'product.product'
@api.model
def get_products_by_pricelist(self, product_ids = None, pricelist_ids = None,):
"""
It will... |
import os
import sys
import django
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "AthleteAPI.settings")
django.setup()
from Athlete.importAthleteCSV import *
if len(sys.argv) >= 3:
pathNOC = sys.argv[1]
pathAthlete = sys.argv[2]
if validateNOCCSV(pathNOC):
importNOCCSV(pathNOC)
pass
... |
# 编写一个 SQL 查询，来删除 Person 表中所有重复的电子邮箱，重复的邮箱里只保留 Id 最小 的那个。
#
# +----+------------------+
# | Id | Email |
# +----+------------------+
# | 1 | john@example.com |
# | 2 | bob@example.com |
# | 3 | john@example.com |
# +----+------------------+
# Id 是这个表的主键。
#
#
# 例如，在运行你的查询语句之后，上面的 Person 表应返回以下几行:
... |
"""
You are given two non-empty linked lists representing two non-negative integers.
The digits are stored in reverse order and each of their nodes contain a single digit.
Add the two numbers and return it as a linked list.
You may assume the two numbers do not contain any leading zero, except the number 0 itself.
... |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.4'
# jupytext_version: 1.2.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # MID-2017 POPULATION ESTIMATES: Net migration by age... |
#A Denoising Sparse Autoencoder class using THEANO
#Class also has the encoder, decoder and getUpdate function to use for training
#The decoding weights are NOT transposed versions of the encoding weights
from theano.tensor.shared_randomstreams import RandomStreams
from theano import tensor as T
import numpy as np
i... |
# Copyright (c) 2016 John Gateley
# 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, distribut... |
from sqlAlchemy.models.utils.base_db import db
from sqlAlchemy.models.utils.database_session import Persistance
from sqlAlchemy.models.schema.movies import Movies
from sqlalchemy import text
class MovieDbOperations:
@staticmethod
def create(dict_args):
#print(dict_args)
movies_model_i... |
# -*- coding:utf-8 -*-
class Solution:
def FirstNotRepeatingChar(self, s):
# write code here
if None == s or 0 == len(s):
return -1
occurence = {}
keys = []
for i,c in enumerate(s):
if c in occurence:
occurence[c] += 1
else:... |
"""Write GNSS position results
Description:
------------
"""
# Standard library imports
from collections import namedtuple
# External library imports
import numpy as np
# Midgard imports
from midgard.data import position
from midgard.dev import plugins
from midgard.writers._writers import get_field, get_header
# ... |
#! /usr/bin/env python
# usage: python convert_indicators_to_cvs_single <indicator_type> <input_file> <output_file>
#indicator type can be: "GO", "EC" (without quotation marks)
# converts the indicators to a .cvs file, on a network by network basis
import os
import sys
import csv
import networkx as nx
#from ..edgeLis... |
"""
Copyright (c) 2021 ARM Limited
SPDX-License-Identifier: Apache-2.0
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 ... |
import torch
import torch.nn as nn
import cv2
import numpy as np
# class stepPool(nn.Module):
# # def __init__(self,):
# # super(stepPool, self).__init__()
# # self.set_pool = nn.AvgPool2d(kernel_size=)
img = cv2.imread('cat.jpg')
img = torch.Tensor(img)
img = np.int32(img)
cv2.imshow('1',img)
cv2... |
#indexing assistance
name = 0
colour = 1
price = 2
rent = 3
onehouse = 4
twohouse = 5
threehouse = 6
fourhouse = 7
hotel = 8
buildprice = 9
owner = 10
#library
a = ['Go']
b = ["Old Kent Rd", "brown", "60", "2", "10", "30", "90", "160", "250", "50", '']
c = ['Community Chest']
d = ['Whitechapel Rd', 'brown', '60', '4',... |
# -*- coding=utf-8 -*-
# Created Time: 2015年06月26日 星期五 15时03分54秒
# File Name: __init__.py
|
#1 - Decision Tree on Guiding Question 1
import pandas as pd
from sklearn.model_selection import KFold
import numpy as np
from sklearn.preprocessing import OneHotEncoder
from sklearn.preprocessing import scale
from sklearn.tree import DecisionTreeRegressor
from sklearn.metrics import mean_absolute_error
fro... |
def main():
a = []
b = []
n = int(input("Informe a quantidade de elementos do vetor: "))
for i in range(n):
elemento = input(f"Qual o valor do {i} elemento: ")
a.append(elemento)
b = a[::-1]
print(f"Vetor A = {a}")
print(f"Vetor B = {b}")
main() |
# Generated by Django 2.2.7 on 2019-11-29 22:02
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('sightings', '0004_auto_20191129_2200'),
]
operations = [
migrations.AlterField(
model_name='squirrel',
name='unique_... |
import tensorflow as tf
from utils import normal_initializer, zero_initializer
from layers import ConvLayer, ConvPoolLayer, DeconvLayer
import numpy as np
flags = tf.app.flags
FLAGS = flags.FLAGS
class AutoEncoder(object):
def __init__(self):
# placeholder for storing rotated input images
self.in... |
# -*- coding: utf8 - *-
"""Exceptions for tmuxp.
tmuxp.exc
~~~~~~~~~
:copyright: Copyright 2013 Tony Narlock.
:license: BSD, see LICENSE for details
"""
class TmuxSessionExists(Exception):
"""Session does not exist in the server."""
pass
class ConfigError(Exception):
"""Error parsing tmuxp configur... |
# -*- coding: utf-8 -*-
import json
from cgbeacon2.constants import (
BUILD_MISMATCH,
INVALID_COORDINATES,
NO_MANDATORY_PARAMS,
NO_POSITION_PARAMS,
NO_SECONDARY_PARAMS,
UNKNOWN_DATASETS,
)
HEADERS = {"Content-type": "application/json", "Accept": "application/json"}
BASE_ARGS = "query?assemblyI... |
from django.contrib import admin
from game.models import Territory, Lobby, Session, TerritorySession, UserProfile
admin.site.register(Territory)
admin.site.register(Lobby)
admin.site.register(Session)
admin.site.register(TerritorySession)
admin.site.register(UserProfile)
|
# -*- coding:utf-8 -*-
__author__ = 'gusevsergey'
from pytils import dt
from coffin import template
register = template.Library()
@register.filter()
def date_inflected(d, date_format):
return dt.ru_strftime(unicode(date_format), d, inflected=True)
|
# Minimize Cost
a = [int(x) for x in input().split()]
if a[0] < 1 or a[1] < 1 or a[0] > 10e5 or a[1] > 10e5:
sys.exit()
b = [int(x) for x in input().split()]
for i in range(0, len(b)):
if b[i] > 10e9 or b[i] < -10e9:
sys.exit()
|
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