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from django.urls import path
from .views import Index,addWork,UpdateWork,DeleteWork
app_name = "SurfaceApp"
urlpatterns = [
path('',Index,name="index"),
path('add-work-details/',addWork,name="AddWork"),
path('update-work-details/<str:slug>/',UpdateWork,name="UpdateWork"),
path('delete-work/<str:slug>/',DeleteWork... |
from django.http.response import HttpResponse
from django.shortcuts import render
from django.http import HttpResponse
# Create your views here.
def sample(request):
return HttpResponse("hey! im here")
|
"""
this is all the code I have done for my code. I am useing rover number 1.
"""
import RPi.GPIO as GPIO
from time import sleep
import random
GPIO.setmode(GPIO.BCM)
GPIO.setup(24, GPIO.OUT)
GPIO.setup(23, GPIO.OUT)
GPIO.setup(27, GPIO.OUT)
GPIO.setup(17, GPIO.OUT)
GPIO.setup(13, GPIO.IN)
while Tr... |
glossary = {
'string': 'A series of characters',
'comment': 'A note that the Python interpreter ignores',
'list': 'A collection of items in a particular order and can be amended',
'loop': 'Work through a collection of items, one at a time',
'dictionary': 'A collection of key-value pairs'
}
for word... |
import sys
from sklearn.datasets import load_iris
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn import linear_model
import mysql.connector
DATASET_PATH = "/Users/michaelfilonenko/Downloads/dataset.csv"
def get_db_connection():... |
import ctypes as ct
import logging
from contextlib import suppress
from ctypes.wintypes import *
import PyHook3
import psutil
import pythoncom
from model.base import Rectangle
log = logging.getLogger('app.process')
log.setLevel(logging.WARNING)
kernel32 = ct.windll.kernel32
user32 = ct.windll.user32
WNDENUMPROC = ... |
import webbrowser
class Movie():
"""this class stores information related to the movie
Attributes:
title: The title of the video.
storyline: The storyline about the movie.
poster_image_url: The poster of the movie.
trailer_youtube_url: The trailer of the movie"""
def __init__(self,... |
from pykkar import *
import random as rnd
import time
def generate(r,c,start, finish): # Randomized Prim's algorithm
start = [start,start]
tries = [[0,0], [0,1], [0,-1], [1, 0], [-1, 0]]
lst = []
for i in range(r):
temp = []
for j in range(c):
temp.append('#')
... |
from flask import request
from flask_accepts import accepts, responds
from flask_restx import Namespace, Resource
from flask.wrappers import Response
from typing import List
from .schema import WhatsitSchema
from .service import WhatsitService
from .model import Whatsit
from .interface import WhatsitInterface
api = N... |
###################################################################################################
from mpl_toolkits.basemap import Basemap
import matplotlib
import math
from scipy import *
import pylab as P
import numpy as np
import sys, glob
import os
import time
from optparse import OptionParser
import netCDF4
imp... |
from collections import defaultdict
from chainn.util import Vocabulary
from chainn.util import functions as UF
def strip_split(line):
return line.strip().split()
def unsorted_batch(batches, dicts):
for x_batch, dct in zip(batches, dicts):
max_len = max(len(x) for x in x_batch)
for i in range(... |
from math import *
def main():
max_num_of_p = 1000
p = [0] * (max_num_of_p+1)
for a in range(max_num_of_p):
for b in range(max_num_of_p):
c = calc_hypotenuse(a, b)
if(a+b+c > max_num_of_p):
break
if(check_if_integer(c)):
p[a+b+int(c)] += 1
current_max_p = 0
current_p = 0
for i in range(len(p)... |
print(1, 2, 3)
print("파" + "이" + "썬")
print("파""이""썬")
print("파", "이", "썬")
print([1, 2, 3]) |
import numpy as np
import Dataset
from Dataset import OptimizedDataset, OptimizedDatabase
import unittest
import Loss
import time
import random
import Activation
import math
from FullyConnectedLayer import FCLayer
class DeNet:
"""DeNet is similar to LoopyNet. It uses the same algorithms,
but each layer hold i... |
import argparse
import json
hierarchy_file = '/home/chamo/Documents/work/OpenImgChamo/config/bbox_labels_500_hierarchy.json'
result_file = '/home/chamo/Documents/data/UntitledFolder/test.csv'
ouput_file = '/home/chamo/Documents/data/UntitledFolder/expanded_test.csv'
ouput_box_file = '/home/chamo/Documents/data/U... |
# -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html
import scrapy
class DongguanItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field()
qnum = scrapy.Field() # 编号
qtype ... |
fname = input('Please enter a file name: ')
try:
fhand = open(fname)
except:
if fname == 'na na boo boo': print('NA NA BOO BOO TO YOU - You have been punk d!')
else: print('File cannot be opened: ',fname)
count = 0
for line in fhand:
if line.startswith('Subject:'):
count+=1
print('There were',... |
__author__ = 'ruben'
__doc__ = 'Query the sqlite database of Buszaki HC database to extract cells, cellType, region. It outputs a txt file'
import sqlite3 as sqlite
tablesToIgnore = ["sqlite_sequence"]
outputFilename = None
def Print(msg):
if (outputFilename != None):
outputFile = open(outputFilename, '... |
# -*- coding: utf-8 -*-
# Generated by Django 1.10 on 2017-11-03 11:42
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='dag',
... |
import numpy as np
import matplotlib.pyplot as plt
x = np.arange(0, 0.1, 0.01)
print x
plt.plot(x, np.sin(x))
plt.show()
|
# -*- coding: utf-8 -*-
"""
Created on Thu Feb 25 10:22:41 2021
@author: holge
"""
import time
import numpy as np
import h5py
import matplotlib.pyplot as plt
import mandelbrot_functions as mf
if __name__ == "__main__":
I = 100
T = 2
C = mf.create_mesh(4096, 4096)
# C = mf.create_mesh(100, 100)
nu... |
import os
import sys
# Plot the scatter of generated test case for (y=x**2)
epoch_interval = 500
total_epoch = 20000
total = 0
good = 0
for i in range(0,total_epoch, epoch_interval):
with open(str(i)+'.txt', 'r') as f:
for line in f:
a,b = line.split(',')
# Condition of good test ... |
def m_hamming_distance(s1, s2):
if len(s1) < len(s2):
return s1
elif len(s1) > len(s2):
return s2
else:
result = 0
for i in range(len(s1)):
if s1[i] != s2[i]:
result = result + 1
return result
if __name__ == "__main__":
print(m_hammin... |
import torch
from torch import nn
from models.resnet import resnet50
class PCBModel(nn.Module):
def __init__(self, num_class=None, num_parts=6, bottleneck_dims=256, pool_type="avg", share_embed=False):
super(PCBModel, self).__init__()
assert pool_type in ['max', 'avg']
self.backbone = re... |
def reverseWord(s):
#your code here
#return s[::-1]
#s = list(s)
new_s = []
start = 0
end = len(s)-1
while end>=0:
# s[start],s[end] = s[end],s[start]
# start += 1
# end -= 1
new_s.append(s[end])
end -= 1
return ''.join(new_s)
if __name__ == "__mai... |
from configparser import ConfigParser
def getConfig(file_name, encoding='utf-8'):
config = {}
cf = ConfigParser()
cf.read(file_name, encoding=encoding)
sections = cf.sections()
for section in sections:
options = cf.options(section)
for option in options:
config[section+option] = cf.get(section, option)
re... |
import sys
sys.path.append("/home/hecher/dev/Projekte/OSGExt/Scripting/Example/TestRefCounting")
from MFRefCountTest import (MFRecPtrAccessTest, MFUnrecPtrAccessTest, MFWeakPtrAccessTest)
from SFRefCountTest import (SFRecPtrAccessTest, SFUnrecPtrAccessTest, SFWeakPtrAccessTest, SingleFieldTest)
tests = []
def addMFP... |
def merge_sort(list):
if len(list)<=1:
return
size=len(list)
mid=size // 2
left=list[:mid]
right=list[mid:]
merge_sort(left)
merge_sort(right)
return merge_two_lists(list,left,right)
def merge_two_lists(list,a,b):
len_a=len(a)
len_b=len(b)
i=j=k=0
... |
import pytest
from saq.database import Remediation, get_db_connection, User
from saq.remediation import *
@pytest.mark.parametrize('processing, state, css, restore_key, history', [
(False, 'new', '', None, []),
(True, 'new', '', None,
[
Remediation(
action = REMEDIATION_ACTI... |
# 3. В массиве случайных целых чисел поменять местами минимальный и максимальный элементы.
import random
a = [random.randint(1, i) for i in range(1,10)]
min_num = 10
max_num = 0
min_pos = 0
max_pos = 0
i = 0
for x in a:
if x < min_num:
min_num = x
min_pos = i
if x > max_num:
max_num = x
max_pos = i
i = i ... |
def euler581():
primes = [2,3,5,7,11,13,17,19,23,29,31,37,41,43,47]
def is_smooth(n):
for p in primes:
while n%p==0:
n/=p
return n==1
cache = dict()
smooth_numbers = [1]
sum = 0
sum2 = 0
for p in primes:
print p, len(smooth_numbers)
... |
#_____________________
# simulationsOutput.py
#_____________________
from ...path.modulePath import ModulePath
from ..io.readLists import readFileProcesses
from ..io.readLists import readFileMinValues
from ..io.readLists import readFileLevels
from ..io.readLi... |
#!/usr/bin/python
# -*- coding: utf-8
import json
import urllib2
import websocket
import threading
import logging
from abstract_bot import AbstractBot, AbstractMessage
class SlackBot(AbstractBot):
_message_counter = 1
def __init__(self, token):
super(SlackBot, self).__init__()
self... |
from rest_framework import serializers
from .models import Equipos
class SongsSerializer(serializers.ModelSerializer):
class Meta:
model = Equipos
fields = ('id', 'nombre_equipo', 'liga','tecnico') |
#!/usr/bin/env python
# BSD 3-Clause License; see https://github.com/scikit-hep/awkward-0.x/blob/master/LICENSE
import unittest
import numpy
from awkward0 import *
class Test(unittest.TestCase):
def runTest(self):
pass
def test_masked_nbytes(self):
assert isinstance(MaskedArray([True, Fals... |
from app import app, cache
from app.models import Page, User
#from app.big_brain import Interpreter
from flask import render_template, request, redirect
from werkzeug.exceptions import NotFound
@app.route('/facelift/<notion_url>')
@cache.cached()
def test(notion_url):
i = Interpreter('https://www.notion.so/' + n... |
from math import log2, floor
from torch import nn, cat, add, Tensor
from torch.nn import init, Upsample, Conv2d, ReLU, Sequential
from torch.nn.functional import interpolate
class ScaleLayer(nn.Module):
def __init__(self, init_value=1e-3):
super().__init__()
self.scale = nn.Parameter(Tensor([init... |
from django.apps import AppConfig
from django.utils.translation import ugettext_lazy as _
class ReportBuilderConfig(AppConfig):
name = 'report_builder'
verbose_name = _('Reports') |
from apps.user.models import AgentGroup
def create_agent_group(supplier, name='', desc=''):
agent_group = AgentGroup()
agent_group.supplier = supplier
agent_group.name = name
agent_group.desc = desc
agent_group.save()
return agent_group
|
import numpy as np
def max_profit(t, p, d, n):
'''
Compute the maximum profit of a[n] jobs with t[n] times,
p[n] profit and d[n] deadline each.
This is a variation of the knapsack problem. We just order all vector
in function of the relative order of d.
'''
order = np.array(d).argsort()
t = np.array(t)[order]
... |
# -*- coding: utf-8 -*-
"""
Created on Sun Mar 21 18:40:33 2021
@author: 柏均
"""
from mcpi.minecraft import Minecraft
import time
mc= Minecraft.create()
x,y,z = mc.player.getTilePos()
time.sleep(6)
mc.setBlock(x,y,z,8)
time.sleep(6)
mc.setBlock(x+5,y,z,8)
time.sleep(6)
mc.setBlock(x,y,z+5,8)
... |
from django import forms
from typing import Dict, Any
from private.models import *
class UploadForm(forms.ModelForm):
class Meta:
model = Song
fields = "__all__"
exclude = ["post_author", "counter"]
widgets = {
"band": forms.TextInput(
attrs = {
... |
from django.urls import path
from . import views
urlpatterns = [
path('',views.index,name = 'index'),
path('contact',views.contact, name = 'contact'),
path('about',views.about,name = 'about'),
path('pricing',views.pricing,name = 'pricing'),
path('service',views.service,name = 'service'),
path('blog',views.blog,n... |
def print_constraints_board_style(x, y, constraints):
for yy in range(9):
for xx in range(9):
if x == xx and y == yy:
print("X", end=" ")
else:
print("#" if constraints[y][x][yy][xx] else ".", end=" ")
print()
def print_variables_board_style(... |
# inputting your profile info:
birth_year = input('Birth year: ')
print(type(birth_year))
age = 2020 - int(birth_year)
print(type(age))
print(age)
body_weight_lbs = input('your current weight: ')
body_weight_kg = 0.45 * int(body_weight_lbs)
print(body_weight_kg)
|
import tkinter as tk
from tkinter import ttk
class SidebarFrame(tk.Frame):
"""Frame that manages the sidebar and user input
"""
# Init and window management
def __init__(self, parent, submitCallback, *args, **kwargs):
"""Args:
parent (tk): Tk parent widget
... |
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
import os
... |
thistuple = ("apple", "banana", "cherry")
print(thistuple)
'''the tuple value cannot be added like this because the tuples are ordered nd unchangeable'''
#thistuple[1] = "orange"
#print(thistuple)
for x in thistuple:
print(x)
if "apple" in thistuple:
print("Yes, 'apple' is in the fruits tuple")
print(len(thistupl... |
import os
from contextlib import contextmanager
from typing import (
Iterable,
Iterator,
List,
Optional,
Sequence,
Type,
TypeVar,
Union,
cast,
)
from .objects import ExtResource, GDObject, SubResource
from .sections import (
GDExtResourceSection,
GDNodeSection,
GDSection... |
# make_plots.py
# Make plots for other codes
#
# Created 9 Nov 18
# Updated 9 Nov 18
###################################################################
#Backend for python3 on mahler
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
import os
import sys
import numpy as np
import math
# Code... |
from flask import *
from werkzeug.utils import import_string
import requests
import googlmap
import Googlemap2
app = Flask(__name__)
@app.route('/')
def pass_val():
if request.method == 'POST':
return jsonify('hello')
return render_template('index.html')
@app.route('/get_ans',methods = ['POST','GET'])... |
def maior_numero():
lista = []
contagem = 0
while contagem < 5:
num = int(input("Informe um numero: "))
lista.append(num)
contagem += 1
lista
lista_ordenada = sorted(lista)
return lista_ordenada[-1]
print(maior_numero())
|
#!/usr/bin/python2.7
# -*- coding: utf-8 -*-
''' Marínez García Mariana Yasmin
316112840
Taller de Herramientas Computacionales
Esto es lo hicimos la clase 10 del curso, convertir de °C a °F y viceversa, de tres maneras diferentes '''
#Con while:
S= '==============================================================='
C ... |
#!/usr/bin/python
import os
import sys
#a few things to make it easier for me
import func
#get basepath
basepath=os.path.dirname(os.path.realpath(__file__))+'/'
if len(sys.argv)!=2:
print "Usage: director <channel dir>"
exit()
channelName=""
channelPath=""
ffmpegname=""
ffmpegpath=""
ffmpegcmd=""
channelFullN... |
# coding: utf-8
from django.shortcuts import render_to_response, redirect, get_object_or_404
from django.template import RequestContext
from django.contrib.auth.decorators import login_required
from skcrm.models import ExpenseConceptSubType
from skcrm.tables import ExpenseConceptSubTypeTable
from skcrm.forms import Se... |
# Generated by Django 2.0.7 on 2018-11-10 05:05
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('subsidy_elig', '0004_subsidyeligibility_subsidy_ftype'),
('apply_subsidy', '0017_auto_20181110_1023'),
]
op... |
def task1():
i=0
print("Task1")
for x in range(10):
print(f"Current no. {x}\t Previous no. {i}\t Sum {x+i}")
i=x
def task2():
list=[10,20,30,40,10]
print("\nTask 2 ")
if list[0]==list[-1]:
print("True\n")
def task3():
list = [10, 20, [300, 400, [5000... |
# Generated by Django 2.1.2 on 2018-12-01 11:45
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('accounts', '0012_auto_20181112_2232'),
]
operations = [
migrations.AlterModelOptions(
name='user',
options={'permissions': (... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import datetime
class Migration(migrations.Migration):
dependencies = [
('portalapp', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Event',
... |
string=raw_input()
lno= len(filter(lambda x: x.islower(),list(string)))
uno= len(filter(lambda x: x.isupper(),list(string)))
if lno<uno:
print string.upper()
else:
print string.lower()
|
""" Handling of OCaml bytecode files ending with .byte extension. """
import logging
from .code import load_code
from .marshall import read_value
logger = logging.getLogger("ocaml")
class ByteCodeReader:
"""Reader for bytecode files."""
MAGIC_V023 = "Caml1999X023"
def __init__(self, reader):
... |
# Generated by Django 2.2.7 on 2019-11-19 07:08
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0003_auto_20191118_1333'),
]
operations = [
migrations.AddField(
model_name='book',
name='image',
... |
import unittest
from pitcoin_modules.settings import *
from pitcoin_modules.transaction import Transaction, Input, Output
from pitcoin_modules.storage_handlers.utxo_pool import UTXOStorage
class TestUTXOPool(unittest.TestCase):
storage_filepath = PROJECT_ROOT + "/storage/.utxo_pool_test.txt"
def test_updatin... |
from django.urls import path
from application.consumers import ApplicationConsumer
from application.dashboardConsumer import DashboardConsumer
ws_urlpatterns = [
path('application/<app_code>/workspace/', ApplicationConsumer.as_asgi()),
path('dashboard/', DashboardConsumer.as_asgi())
]
|
#!/usr/bin/python
""" Main Class for the Bot """
__author__ = 'BiohZn'
import sys
sys.dont_write_bytecode = True
from irccon import irc
class main:
def __init__(self):
self.buffer = ''
self.irc = irc()
def connect(self):
self.irc.connect()
def read(self):
self.buffer += self.irc.socket.recv(8192)
wh... |
from Parser import Parser
from Code import Code
from SymbolTable import SymbolTable
import sys
import os
import pdb
DEFAULTPATH='/Users/pengfeigao/git/assembler/test/add/Add.asm'
DEFAULTPATH='/Users/pengfeigao/git/assembler/test/max/MaxL.asm'
DEFAULTPATH='/Users/pengfeigao/git/assembler/test/pong/PongL.asm'
DEFAULTPAT... |
#!/usr/bin/env python
from view import *
from model import *
app = App()
app.model = Model()
app.model.connect()
app.mainloop() |
# -*- coding: utf-8 -* -
'''
使用fast ai进行数据增广
'''
'''
五个步骤避免过拟合：
获取更多数据、数据增广、generalized architectures、正则化、降低网络复杂度
'''
'''
fastai中有三种基本的变化：transforms_basic, transforms_side_on 和 transforms_top_down，这三种变化由fastai源码中的transforms.py中的三个独立的类定义。
transforms_basic包括RandomRotate、RandomLighting；
transforms_side_on包括transforms_basi... |
# -*- coding:utf-8 -*-
import sys
import logging
def get_level(le=None):
if le is None or le.lower() == "noset":
return logging.DEBUG
if isinstance(le, bytes):
le = le.decode()
if isinstance(le, str):
try:
le = int(le)
except:
if le.upper() in loggi... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
"""
This module defines the main application classes for the decks.
This module defines the following classes:
- Deck
"""
# ----------------------------------------------------------------... |
from flask import Flask
from flask.ext.sqlalchemy import SQLAlchemy
import os
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = os.environ['DATABASE_URL']
db = SQLAlchemy(app)
from app import views, models
|
from urllib.request import urlopen
url="http://www.baidu.com"
#发送请求
response=urlopen(url)
#读取内容
info=response.read().decode('utf-8')
#打印内容
print(info)
#打印状态码
print(response.getcode())
#打印真实url
print(response.geturl())
#打印响应头
print(response.info()) |
import numpy as np
# a = np.arange(10,20,2) # 等差数列,包头不包尾
# a = np.arange(12).reshape(3,4)
a = np.linspace(0.5 , 10 ,20).reshape(4,5) # 线性等分
print(a)
|
# Calendar, Graphical calendar applet with novel interface
#
# test.py
#
# Copyright (c) 2010, Brandon Lewis <brandon_lewis@berkeley.edu>
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Found... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import photo.models
class Migration(migrations.Migration):
dependencies = [
('photo', '0002_auto_20150304_2023'),
]
operations = [
migrations.AddField(
model_name='photo'... |
import os
import sys
import unittest
from glob import glob
from operator import itemgetter
def module_name_to_class(module_name):
class_name = module_name.replace('_', ' ')
class_name = ''.join(x for x in class_name.title() if not x.isspace())
return class_name
def get_test_cases(directory):
directo... |
import os
import numpy as np
from data import dictClass
import pandas as pd
import MLI_getElem as getElem
from copy import deepcopy as copy
import re
def run(nCore=None):
if nCore==None:
os.system('time mli.x > mli.log')
else:
os.system('time mpirun -n '+str(nCore)+' mli.x > mli.log')
def elem2str(e... |
# -*- coding: utf-8 -*-
__author__ = 'Liu'
from sys import argv
# 插入的exists模块的作用的是检测该文件是否存在
from os.path import exists
script, from_file, to_file = argv
print("Copying for %s to %s" % (from_file, to_file))
# 此处in_file作为的是打开的文件，indata是文件的内容
in_file = open(from_file).read()
indata = in_file.read()
print("This input fi... |
from validate_docbr import CNPJ
class Cnpj:
def __init__(self, documento):
documento = str(documento)
if self.validador_cnpj(documento):
self.cpnj = documento
else:
raise ValueError('=- CNPJ invalido!! -=')
def validador_cnpj(self, documento):
... |
from abaqusConstants import *
from .Area import Area
from .AreaStyle import AreaStyle
from .Axis import Axis
from .Legend import Legend
from .LineStyle import LineStyle
from .TextStyle import TextStyle
class DefaultChartOptions:
"""The DefaultChartOptions object is used to hold on default chart and axis attribute... |
from SavingsGoal import SavingsGoal
def main():
Car = SavingsGoal("Accord", 8000)
# Car.start()
# Car.setNewTotalAmount(100)
print(str(Car.getName()))
exit
if __name__ == "__main__":
main()
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# author： moddemod
# datetime： 2019/12/25 下午9:54
# ide： PyCharm
import binascii
import base64
s = '636A56355279427363446C4A49454A7154534230526D684356445A31614342354E326C4B4946467A5769426961453067'
r = binascii.unhexlify(s)
print(r)
r1 = base64.b64decode(r)
print(r1)
# b... |
#%% Imports and Declarations
import torch
import numpy as np
import cv2, time
class data_encoder_pytorch:
def __init__(self, grid_dim):
'''
grid_dim = [Height, Width] or [Y,X] or [Rows, Columns]
'''
self.grid_dim = grid_dim
def __cornered_to_centered__(self, batch):
'''... |
class Group(object):
def __init__(self, parent=None):
self.parent = parent
self.children = set()
if parent:
self.depth = parent.depth + 1
parent.children.add(self)
else:
self.depth = 1
def score_with_children(self):
score = self.depth
... |
'''
Created on Mar 7, 2014
@author: huunguye
References:
1. Markov Chains and Monte Carlo Methods (Ioana)
'''
import random
#######################################################
# Gibbs sampler for bivariate normal (p.49 [1])
#
def sample_bivariate_normal():
mu1 = 0.0
mu2 = 0.0
sig1 = 1.0 # sigm... |
from setuptools import setup, Extension
resistance_yespower_module = Extension('resistance_yespower',
sources = ['yespower.c',
'yespower-platform.c',
'yespower-opt.c',
'yespo... |
class Solution:
def findPerm(self, s, n):
max = n
min = 1
res = [None]*n
Stack = []
j = 0
for i in range(1,n):
if (s[i-1] == "I"):
Stack.append(i)
while(Stack):
res[j] = Stack.pop()
... |
lista = []
while True:
a = int(input())
if a == 0:
break
lista.append(a)
def inverte(lista):
return lista[::-1]
for i in inverte(lista):
print(i) |
from django.http import HttpResponse
import datetime
from django.template import Template, Context
#from django.template import loader, get_template#no tan simplificado como el de abajo
from django.template.loader import get_template #---> MAS DIRECTO EL PROCESO
from django.shortcuts import render
class taco_special(o... |
# -*- coding:utf-8 -*-
class ListNode:
def __init__(self, x=None):
ListNode.val = x
ListNode.next = None
class Solution:
def deleteDuplication(self, pHead):
'''
题目描述
在一个排序的链表中，存在重复的结点，请删除该链表中重复的结点，重复的结点不保留，返回链表头指针。
例如，链表1->2->3->3->4->4->5 处理后为 1->2->5
:... |
#coding: utf-8
#---------------------------------------------------------
# Um programa que recebe duas notas e calcula a média.
#---------------------------------------------------------
# Média Aritmética - Exercício #007
#---------------------------------------------------------
n1 = float(input('Digite sua prime... |
#!/usr/bin/python
"""
Starter code for exploring the Enron dataset (emails + finances);
loads up the dataset (pickled dict of dicts).
The dataset has the form:
enron_data["LASTNAME FIRSTNAME MIDDLEINITIAL"] = { features_dict }
{features_dict} is a dictionary of features associated with that pers... |
"""
Copyright (C) 2010 Laszlo Simon
This file is part of Treemap.
Treemap 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 3 of the License, or
(at your option) any later version.
Treemap is distr... |
from django.shortcuts import get_object_or_404
from decimal import Decimal
from django.conf import settings
from products.models import Product
def cart_contents(request):
cart_items = []
total = 0
product_count = 0
cart = request.session.get('cart', {})
for item_id, item_data in cart.items():
... |
#####################################################
# Python script that reads betaV images which are
# FITS images that has pixel values of the flux ratios
# between V = g-0.59(g-r)-0.01 (Jester+05) and Spitzer
# IRAC 1 band and analyze
# written by Duho Kim (2/19/18)
#######################################... |
import torch
import torchvision
from nvidia.dali.pipeline import Pipeline
import nvidia.dali.ops as ops
from nvidia.dali.plugin.pytorch import DALIClassificationIterator, LastBatchPolicy
import nvidia.dali.types as types
class HybridPipelineTrain(Pipeline):
def __init__(self, batch_size, output_size, num_threads, ... |
__author__ = 'chira'
def module_function():
print('this is a function from Module_import.py') |
import abc
import numpy as np
import tensorflow as tf
from tf_v2_support import placeholder
from trainer import tf_module
class ExplainPredictor:
def __init__(self, num_tags, sequence_output, modeling_option="default"):
self.num_tags = num_tags
self.sequence_output = sequence_output
if m... |
def Articles():
articles = [
{
'id':1,
'title':'Article One',
'body':'This article is about the Ashes 2005.',
'author':'Chiranth',
'create_date':'14-12-2018'
},
{
'id':2,
'title':'Article Two',
'body':'This article is about the Wimbeldon 2003.',
'author':'Vishak',
'create_date':'14-... |
from django.test import TestCase
from rest_framework.authtoken.models import Token
from django.test import Client
# self.user = Usuario.objects.create_user(
# nome='test',
# email='test@email.com',
# password='test',
# )
# token, created = Token.objects.get_or_create(user=self.user)
# self.client = Clien... |
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