text stringlengths 38 1.54M |
|---|
import re
from collections import defaultdict
reg = defaultdict(int)
subt = {
'inc': '+=',
'dec': '-=',
'if': 'if'
}
with open('input.txt') as file:
for line in file:
line = re.sub(r'^(.+)(if.+)$', r'\2:\1', line)
line = re.sub(r'\b([a-z]+)\b', lambda m: subt.get(m.group(1), 'reg["{}"]... |
from typing import List
from collections import defaultdict
class Solution:
def countSubTrees(self, n: int, edges: List[List[int]], labels: str) -> List[int]:
"""
William's solution
treat this tree as a undiredted graph
"""
edge_dict = defaultdict(list)
for a, b in... |
first = "Josephia"
last = "Jones"
bros = 2
sises = 1
print(first + last)
print(bros+sises)
# this throws an error
print(first + bros)
|
from django.shortcuts import render,HttpResponse
from rest_framework import generics
from .serializer import EmpSerializer,AccountSerializer
from .models import Emp,Account
def home(request):
return HttpResponse("<h1>Welcome To Django RestProject</h1>")
# Insert Data
class CreateEmp(generics.CreateAPIView):
s... |
class OMG :
def print() :
print("Oh my god")
>>> >>> myStock = OMG() # OMG.print(mystock) 가 돼야함.
>>> myStock.print() |
#! /usr/bin/env python
import i3ipc
import time
hide_border_delay = .1
i3 = i3ipc.Connection()
def on_window_focus(i3, event):
window_id = event.container.props.id
i3.command('[con_id=' + str(window_id) + '] border pixel 1')
time.sleep(hide_border_delay)
i3.command('[con_id=' + str(window_id) + '] border... |
from abc import ABC, abstractmethod
class Gate:
def __init__(self, gate_id, attendent):
self.gate_id = gate_id
self.attendent = attendent
class EntranceGate(Gate):
def __init__(self, gate_id, attendent):
super().__init__(gate_id, attendent)
def process_ti... |
# This function is used to calculate the size of a given sbox
def SboxSize(sbox):
s = format(len(sbox), "b")
num_of_1_in_the_binary_experission_of_the_len_of_sbox = s.count("1")
assert num_of_1_in_the_binary_experission_of_the_len_of_sbox == 1
return (len(s) - 1)
# Return the value of the bitproduct function Pi_u... |
from datetime import date
from django.core.exceptions import ValidationError
from django.test import TestCase
from apps.general_services.validators import person_validation, id_validators, general_validation
class TestValidation(TestCase):
# GENERAL VALIDATION
def test_valid_phone_number_1(self)... |
#!/usr/bin/env python
import os
import sys
import commands
BLOCK_SIZE = 4096
#AdjustPartitionSizeForVerity.results = {}
def GetVerityMetadataSize(partition_size):
cmd = "./bin/build_verity_metadata.py -s %d"
cmd %= partition_size
status, output = commands.getstatusoutput(cmd)
if status:
print output
... |
from math import*
p=int(input("Insira a vida inicial:"))
D1=int(input("Insira o primeiro valor do dado:"))
D2=int(input("insira o segundo valor do dado:"))
a= (sqrt(5*D1)) + ((pi)**(D2/3))
dano= p-a+1
print(int(dano)) |
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 6 20:12:50 2020
@author: Erika Montana
"""
from ..utils import sql_utils as sql
def main(conn, label_config, table_name, start_date, end_date,
preprocessing_prefix):
"""
Creates table in destination schema containing the primary key and t... |
import os
import csv
# You will be give a set of poll data called election_data.csv. The dataset is composed of three columns:
#Voter ID, County, and Candidate. Your task is to create a Python script that analyzes
#the votes and calculates each of the following:
#The total number of votes cast
#A complete list of ca... |
from typing import List
class Solution:
def maxProfit(self, prices: List[int], fee: int) -> int:
size = len(prices)
hold, free = [0] * size, [0] * size
hold[0] = -prices[0]
for i in range(1, size):
hold[i] = max(hold[i - 1], free[i - 1] - prices[i])
free[i] =... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Feb 16 13:06:18 2018
@author: jlaplaza
"""
|
# dictionaries: uses key-value pairs
myCat = {'size': 'fat', 'color': 'gray', 'disposition': 'loud'}
myCat['size'] # 'fat'
'My cat has' + myCat['color'] + 'fur.' # 'My cat has gray fur.'
spam = {12345: 'Luggage combination', 42: 'The Answer'}
# dictionaries are different than lists
[1, 2, 3] == [3, 2, 1] # F... |
"""
Test suite for the django_project.context_processors module
"""
import pytest
from django.contrib.auth.models import User
from django.core.urlresolvers import reverse
from django.test import RequestFactory
from django_project import context_processors
pytestmark = pytest.mark.django_db
class LDAPUserMock:
ld... |
from datetime import datetime
class Util:
@staticmethod
def iso_to_unix(dt_format: str) -> int:
utc_dt = datetime.strptime(dt_format, '%Y-%m-%dT%H:%M:%S.%fZ')
# Convert UTC datetime to seconds since the Epoch
timestamp = (utc_dt - datetime(1970, 1, 1)).total_seconds()
return i... |
'''
Тестові варіанти для лінійного алгоритму пошуку
'''
import timeit
import numpy as np
test = [[np.array([5, 8, 9, 3, 7, 6, 4, 2, 1]), 7], [np.array([1, 7, 6, 9, 10, 3, 4, 5]), 8], \
[np.array([1, 18, 15, 7, 13, 11, 6, 2, 0, 9, 11, 10, 17, 15, 20, 3, 4, 5]), 20], \
[np.array([9, 7, 14, 3, 4, 17, 20, 1... |
import multiprocessing
import time
import gym
import gym3
import numpy as np
from gym.vector import make as make_vec_env
from procgen import ProcgenGym3Env
population_size = 112
number_env_steps = 1000
def run_episode_full(u):
env = gym.make('procgen:procgen-heist-v0')
obs = env.reset()
reward = 0
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class PointLibResult(object):
def __init__(self):
self._balance = None
self._library_id = None
self._library_name = None
self._status = None
self._sum_point = No... |
def solve(x1, x2, v1, v2):
if v1 <= v2:
return False
t = float(x1-x2)/float(v2-v1)
if t-int(t) == 0 and t > 0:
return True
return False
x1, v1, x2, v2 = map(int,raw_input().split())
print solve(x1, x2, v1, v2) |
import pandas as pd
import os
from main import loadProjects,loadUsers
from build_network import filterProjects,controlGroupAffiliation,filterNodes,generateNework
def main():
net_path = 'results/cytoscapeFiles'
people = loadUsers()
groupAfilliation = controlGroupAffiliation(people)[['USERNAME','ML_GROUP']]
pis = ... |
from iinsta.entities.Asset import Asset
from mongoengine.queryset import DoesNotExist
from iinsta.mongo import db
class AssetFacade(object):
@staticmethod
def get_by_ids(ids):
return db.page.find({
'_id': {'$in': ids}
})
@staticmethod
def get(**kwargs):
try:
... |
import matplotlib.pyplot as plt
lang=['Java', 'Python', 'PHP', 'JavaScript', 'C#','C++']
popularity=[22.2,17.6,8.8,8,7.7,6.7]
plt.bar(lang,popularity,color=(0.2, 0.4, 0.6,0.6),edgecolor='blue')
plt.xlabel('programing Languages')
plt.ylabel('Popularity(%)')
plt.title('Programing Language bar representation')
plt.show(... |
import sys
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('refs')
args = parser.parse_args()
ref_file = open(args.refs)
sent_id = None
ref = None
j = 0 # index into the kbest list
sent_count = 0 # count of sentences seen so far. This is usually equal to sent_id + 1, but not always!
done = Fal... |
from django.shortcuts import render,redirect
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User, auth
from admin.song.models import Song
# Create your views here.@login_required(login_url = 'user.login')
def register(request):
... |
#!/usr/bin/python3
""" Routing definitions for handling different urls """
from flask import Flask, render_template
app = Flask(__name__)
@app.route('/', strict_slashes=False)
def say_hello():
""" Returns a string
Returns:
"Hello, HBNB!"
"""
return "Hello, HBNB!"
@app.route('/h... |
import random
import matplotlib.pyplot as plt
from ch9.knapsack.individual import Individual
from ch9.knapsack.random_set_generator import random_set_generator
from ch9.knapsack.toolbox import mutation_bit_flip
def mutate(ind):
mutated_gene = mutation_bit_flip(ind.gene_list)
return Individual(mutated_gene)
... |
from django import forms
from django.contrib.auth.models import User
from django.contrib.auth.forms import UserCreationForm
from .models import Profile
class StudentRegisterForm(UserCreationForm):
email = forms.EmailField()
department=forms.CharField()
roll_no=forms.IntegerField()
course=forms.CharFie... |
from num_user_movie import *
from shuffle import *
from train_test import *
from id_map import *
from build_matrix import *
from fill_matrix import *
from column_mean import *
from normalize import *
from numpy.linalg import svd
from S_to_matrix import *
from trim_rating import *
from predict_ratings import ... |
import argparse
import torch
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument('--text', help='checkpoint file')
parser.add_argument('--image', help='checkpoint file')
parser.add_argument('--video', help='checkpoint file')
parser.add_argument('--audio', help='checkpoint fil... |
class Solution:
def wiggleSort(self, nums: List[int]) -> None:
"""
Do not return anything, modify nums in-place instead.
"""
sorted_nums = list(sorted(nums))
i ,j = len(nums)-1, 1
while j < len(nums):
nums[j] = sorted_nums[i]
i, j = i-1, j+2
... |
# S3 details
accessKey = "<your-amazon-access-key>"
secretAccessKey = "<your-secret-amazon-access-key>"
# a test bucket for running software tests on (i.e. it doesn't matter if tests delete or alter data in it)
testBucket = "<your-test-bucket>"
|
#
# @lc app=leetcode.cn id=179 lang=python3
#
# [179] 最大数
#
# https://leetcode-cn.com/problems/largest-number/description/
#
# algorithms
# Medium (36.27%)
# Likes: 305
# Dislikes: 0
# Total Accepted: 32.1K
# Total Submissions: 88.3K
# Testcase Example: '[10,2]'
#
# 给定一组非负整数，重新排列它们的顺序使之组成一个最大的整数。
#
# 示例 1:
#
#... |
class Solution:
def sortedSquares(self, A: List[int]) -> List[int]:
if len(A) == 0:
return []
neg = pos = 0
while pos < len(A):
if A[pos] < 0:
pos += 1
continue
neg = pos - 1
break
res = []
whil... |
lista = []
for c in range(0,10):
lista.append (int(input('Digite o número: ')) )
print(lista) |
#!/usr/bin/env python
"""
Install treediff lib in local env:
pip install requests git+https://github.com/learningequality/treediffer
then run
./ricecookerdifferpoc.py
to generate the detailed tree diff JSON and and print the diff in terminal.
"""
import argparse
from contextlib import redirect_stdout
impo... |
class RDF:
def __init__(self, filename=''):
self.in_filename = filename
self.fd = open(filename,'r')
self.urls_serial = 0
self.read_urls = []
self.topics = {}
def __enter__(self):
#print 'Enter RDF'
return self
def __exit__(self, type, value, traceb... |
def classify(values):
"""*values* should be a list of numbers. Returns a list of the
same size with values 'even' or 'odd'."""
return ['odd' if value % 2 else 'even' for value in values]
|
"""
Downloads image thumbnails from google image search. Please note that this is a quite simple implementation with some limitations. First of all it is only possible to download low res thumbnails. Also, you can download 20 thumbnails at max.
If you need a more advanced solution please take a look at the serpAPI http... |
from models.vae.cvae import CVAE
from models.contrastive_learning.cl_encoder import ContrastiveLearningEncoder
import torch
from torch.nn import functional as F
from torch.nn.utils import clip_grad_norm
from torch.utils.data import DataLoader
from torch.optim import Adam
import wandb
from tqdm import tqdm
import time
i... |
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 25 17:19:58 2021
@author: Alvin
Set Manipulation – Part 1
Sedikit berbeda dengan tipe data list dan tuple, pada tipe data set terdapat cukup banyak fitur yang disediakan oleh bahasa Python.
Tugas:
Ketikkan potongan kode pada kolom Contoh Penggunaan di live code editor.
... |
n=int(input())
s="123456789"
for i in range(n):print("+"*i+s[:n-i])
for i in range(n):print(s[:n-i].rjust(n,"+"))
|
'''
2차원 평면 위의 점 N개가 주어진다.
좌표를 x좌표가 증가하는 순으로, x좌표가 같으면 y좌표가 증가하는 순서로 정렬한 다음 출력하는 프로그램을 작성하시오.
첫째 줄에 점의 개수 N (1 ≤ N ≤ 100,000)이 주어진다. 둘째 줄부터 N개의 줄에는 i번점의 위치 xi와 yi가 주어진다.
(-100,000 ≤ xi, yi ≤ 100,000) 좌표는 항상 정수이고, 위치가 같은 두 점은 없다.
solve)
x,y 좌표를 2차원 배열에 매칭 시켜서 순환해서 찍는 것도 방법인듯
그냥 sorted를 사용하면 알아서 순서대로 정렬해주지만 lambda사용법을 익혀... |
from __future__ import print_function
import time
from learning.utils import *
from learning.log import *
from torch.autograd import Variable
import torch
def train_loop_npn(models, data_loader, optimizers, lr_schedulers, epoch, args):
for model in models:
model.train()
set_dropout_mode... |
import os, json
from flask import Flask, request, Response, send_file, make_response, jsonify
from flask import render_template, url_for, redirect, send_from_directory
from werkzeug import secure_filename
from imanip import app, helpers
def allowed_file(filename):
return '.' in filename and \
filename.rsplit('.', 1... |
import typing
from typing import Any, Optional, Text, Dict, List, Type
from rasa.nlu.components import Component
from rasa.nlu.config import RasaNLUModelConfig
from rasa.shared.nlu.training_data.training_data import TrainingData
from rasa.shared.nlu.training_data.message import Message
from spellchecker import SpellCh... |
import pygame
import os, sys
import time
import csv
class bar(object):
def __init__(self, amplitude, min_frequency, max_frequency, screen_height, color = [50, 50, 50]):
"""
Creates a rectangular bar object
"""
self.amplitude = amplitude
self.min_frequency = min_frequency
self.max_frequency = max_frequ... |
#................................. image denoising .............................................................#
def imageDenoising(gray):
import numpy
import cv2
from matplotlib import pyplot as plt
# h : parameter deciding filter strength. Higher h value removes noise better, but removes details... |
from setuptools import setup
setup(
name="wimpy",
version="0.6",
description="Anti-copy-pasta",
long_description=open('README.rst').read(),
url="https://github.com/wimglenn/wimpy",
author="Wim Glenn",
author_email="hey@wimglenn.com",
license="MIT",
packages=["wimpy"],
options={"... |
import numpy as np
from numba import njit
from numba.core.errors import TypingError
import unittest
from numba.tests.support import TestCase, force_pyobj_flags
def build_map():
return {0: 1, 2: 3}
def build_map_from_local_vars():
# There used to be a crash due to wrong IR generation for STORE_MAP
x = Tes... |
def check(r, c, size):
return r >= 0 and r < size and c >= 0 and c < size
def DFS(r, c, n):
arr[r][c] = n
x = [0, 0, -1, 1]
y = [1, -1, 0, 0]
for i in range(4):
if check(r+x[i], c+y[i], N) and arr[r+x[i]][c+y[i]] == 1:
DFS(r+x[i], c+y[i], n)
N = int(input())
arr = [list(map(in... |
# -*- coding: utf-8 -*-
__author__ = 'florije'
from api.basic_service import BaseService
from api.models import TaskModel
from api.schemas import TaskSchema
from api.custom_exception import InvalidAPIUsage
class TaskService(BaseService):
def create_task(self, **params):
new_task = TaskModel(title=params.g... |
# Save the face of the user in encoded form
# Import required modules
import time
import os
import sys
import json
import configparser
import builtins
import cv2
import numpy as np
from threading import Timer
import csv
import boto3
# Try to import dlib and give a nice error if we can't
# Add should be the first poin... |
# Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from parameterized import parameterized
from torch import Tensor
from mmdet.models.roi_heads.mask_heads import HTCMaskHead
class TestHTCMaskHead(TestCase):
@parameterized.expand(['cpu', 'cuda'])
def t... |
from tkinter import *
from PIL import Image, ImageTk
root = Tk()
canvas = Canvas(width=500, height=500, bg='white')
canvas.pack()
image = Image.open("Trollface.jpg")
photo = ImageTk.PhotoImage(image)
canvas.create_image(250, 250, image=photo)
root.mainloop()
|
#Building DataFrames with broadcasting
'''
You can implicitly use 'broadcasting', a feature of NumPy, when creating pandas DataFrames. In this exercise, you're going to create a DataFrame of cities in Pennsylvania that contains the city name in one column and the state name in the second. We have imported the names of ... |
from StringIO import StringIO
import re
from PIL import Image
from django.conf import settings
from django.db import models
from django.core.urlresolvers import reverse
from django.contrib.contenttypes.models import ContentType
from django.contrib.contenttypes import generic
from south.modelsinspector import add_intr... |
#
# @lc app=leetcode.cn id=865 lang=python3
#
# [865] 具有所有最深节点的最小子树
#
# https://leetcode-cn.com/problems/smallest-subtree-with-all-the-deepest-nodes/description/
#
# algorithms
# Medium (64.22%)
# Likes: 122
# Dislikes: 0
# Total Accepted: 7.4K
# Total Submissions: 11.5K
# Testcase Example: '[3,5,1,6,2,0,8,null,... |
"""generic training helpers.
training.py and training_aux.py are mostly for CNN.
"""
import os.path
import os
from shlex import quote
from collections import OrderedDict
from tempfile import NamedTemporaryFile
import h5py
import numpy as np
import os.path
import time
from . import dir_dictionary
from . import io
from ... |
import sys
import csv
import StringIO
import json
# Usage: python process_kbp_data.py <input_file> <output_file>
input_filename = sys.argv[1]
output_filename = sys.argv[2]
mapping = {
"per:country_of_death" : 0,
"per:schools_attended" : 1,
"per:other_family" : 2,
"per:city_of_birth" : 3,
"org:top... |
import gzip
import re
import csv
import pickle
import pprint
if __name__ == "__main__":
pp = pprint.PrettyPrinter(indent=4)
filenames = [
"ydata-fp-td-clicks-v1_0.20090501",
"ydata-fp-td-clicks-v1_0.20090502",
"ydata-fp-td-clicks-v1_0.20090503",
"ydata-fp-td-cli... |
from django.urls import path
from .views import register_user
from .views import login_user
from .views import edit_user
from .views import list_user
urlpatterns=[
path('register/',register_user,name="register_user"),
path('login/',login_user,name="login_user"),
path('edit/<int:pk>/',edit_user,name="edit_user"),
path(... |
from bs4 import BeautifulSoup
import requests
session = requests.Session()
def gather_spark_scala_html_files():
spark_scala_html = session.get('{}{}'.format(spark_scala_base_url, "index.html"))
soup = BeautifulSoup(spark_scala_html.text, 'html.parser')
links = soup.find_all('a')
for link in links:
href =... |
from __future__ import print_function
import sys
import Pyro4
if sys.version_info < (3, 0):
input = raw_input
uri = input("enter async server object uri: ").strip()
proxy = Pyro4.Proxy(uri)
print("* normal call: (notice the delay)")
print("result=", proxy.divide(100, 5))
print("\n* async call:")
proxy._pyroAsy... |
import cv2
import numpy
img = cv2.imread("4.jpeg")
retval,threshold=cv2.threshold(img,12,255,cv2.THRESH_BINARY)
grayimg=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
retval,threshold2=cv2.threshold(grayimg,12,255,cv2.THRESH_BINARY)
gaus=cv2.adaptiveThreshold(grayimg,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,cv2.THRESH_BINARY,115,1)... |
# coding: utf-8
# In[10]:
#last digit of partial sum of Fibonacci number
a = [int(x) for x in input().split()]
def Fn3(a):
f0 = 0
f1 = 1
if a <= 1: return a
else:
rem = a % 60
if(rem == 0): return 0
for i in range(2, rem + 3):
f =(f0 + f1)% 60
f0 = ... |
from . import app, login_manager
from flask_restplus import Api, Resource
from flask import send_file, abort, request, Response, render_template
from werkzeug.datastructures import FileStorage
import logging
import os
import uuid
import subprocess
from OpenSSL.crypto import FILETYPE_PEM, Error as crypto_Error, load_c... |
from django.contrib import admin
from dungeon.models import *
admin.site.register(Dungeon, admin.ModelAdmin)
admin.site.register(Square, admin.ModelAdmin)
admin.site.register(Character, admin.ModelAdmin) |
from socket import *
s_scoket = socket(AF_INET,SOCK_STREAM)
address = ("127.0.0.1",4721)
s_scoket.bind(address)
s_scoket.listen(3)
while True:
print("等待连接中。。")
coon, addr = s_scoket.accept()
print("连接来自",addr)
while True:
data = coon.recv(1024)
print("服务端接收的数据是",data)
if not dat... |
from . import SentenceEvaluator, SimilarityFunction
from torch.utils.data import DataLoader
import torch
import logging
from tqdm import tqdm
from ..util import batch_to_device
import os
import csv
from sklearn.metrics.pairwise import paired_cosine_distances, paired_euclidean_distances, paired_manhattan_distances
from... |
# Generated by Django 3.0.7 on 2021-01-10 09:01
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('jobads', '0021_auto_20210110_0848'),
]
operations = [
migrations.AlterField(
model_name='jobad',
name='max_salary',
... |
import threading
import numpy as np
from lidar import Lidar
from gps import GPS
from cameras import Cameras
# py vesc import tty.usbserial
# load lidar
#lidar = Lidar('/dev/tty.SLAB_USBtoUART')
#load GPS
#gps = GPS('/dev/tty.usbserial-1A1330', 4800, 5)
cameras = Cameras(1, 2, 0)
cameras.start()
#t1 = threading.Thr... |
"""
Project:DeepRating
Author: Raphael Abbou
Version: python3
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
CUT_OFF_DATE = "201803"
orig_col = ['fico','dt_first_pi','flag_fthb','dt_matr','cd_msa',"mi_pct",'cnt_units','occpy_sts',\
'cltv','dti','orig_upb','ltv',... |
import cStringIO
import csv
import re
from google.appengine.api import users
from google.appengine.ext import ndb
from models import Student, GradeEntry
import utils
import webapp2
class BulkStudentImportAction(webapp2.RequestHandler):
def post(self):
user = users.get_current_user()
if len(self.request.ge... |
from pageObjects.LoginPage import LoginPage
from utilities.BaseTest import BaseTest
from utilities.TestData import TestData
class Test_001_Login(BaseTest):
def test_homepage_title(self):
self.logger = self.get_logger() # get_logger is designed in base test class
self.logger.info('***************... |
from typing import List, Union
import sys
from collections import deque
class BrainFuckMachine:
array: List
_pointer: int
code: str
stack: deque
ip: int
nf: bool
stdin: str
stdin_p: int
stdout: str
do_print: bool
def __init__(self, do_print: bool = True):
self.ar... |
class CraftyAPIRoutes(object):
HOST_STATS = '/api/v1/host_stats'
SERVER_STATS = '/api/v1/server_stats'
ADD_USER = '/api/v1/crafty/add_user'
DEL_USER = '/api/v1/crafty/del_user'
GET_LOGS = '/api/v1/crafty/get_logs'
SEARCH_LOGS = '/api/v1/crafty/search_logs'
class MCAPIRoutes(object... |
import os
from selenium import webdriver
import telebot
from telebot import types
from flask import Flask, request
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions
from selenium.webdriver.support.wait import WebDriverWait
from config import *
import pickle
import sc... |
#!/usr/bin/env python3
def print_message(message):
return message
def sum(parcel1, parcel2): # pragma: no cover
sum = parcel1 + parcel2
return sum
def multiply(factor1, factor2): # pragma: no cover
return factor1 * factor2
def main():
print("test")
if __name__ == "__main__":
main()
|
def bfs(graph,startnode,visited):
q = [startnode]
while q:
v = q.pop(0)
if not v in visited:
visited = visited+[v]
q = q+graph[v]
return visited
graph = {}
num_nodes = int(input("Enter the number of nodes : "))
nodes = [x for x in input("Enter the nodes : ... |
# read in the list
# create score matrix
# use a score matrix
import numpy as np
from common import loaders
def read_moves():
moves = loaders.load_string()
return moves
def calculate_score(moves):
# (1 for Rock A X, 2 for Paper B Y, and 3 for Scissors C Z)
# plus
# (0 if you lost, 3 if the roun... |
import boto3
MTURK_SANDBOX = 'https://mturk-requester-sandbox.us-east-1.amazonaws.com'
MTURK_PROD = 'https://mturk-requester.us-east-1.amazonaws.com'
ak_ai2 = '<access-key>'
sak_ai2 = '<secret-access-key>'
mturk = boto3.client('mturk',
aws_access_key_id = ak_ai2,
aws_secret_access_key = sak_ai2,
region_name=... |
import numpy as np, xarray as xr, rpxdock as rp, rpxdock.homog as hm
from rpxdock.search import hier_search, grid_search
from rpxdock.filter import filters
def make_cyclic_hier_sampler(monomer, hscore, **kw):
'''
:param monomer:
:param hscore:
:return: 6 DOF - 2: Sampling all 3D space + moving in and out f... |
input = open('input.txt', 'r')
output = open('output.txt', 'w')
text = dict()
a = input.read().split()
for elem in a:
if elem not in text:
text[elem] = 0
else:
text[elem] += 1
print(text[elem], end = ' ', file = output)
input.close()
output.close() |
# -*- coding: utf-8 -*-
"""
Created on Tue Dec 1 18:43:45 2020
@author: dennis
"""
from itertools import permutations
with open('data/day1.txt') as f:
report = [int(x) for x in f.readlines()]
for perm in permutations(report, 2):
if sum(perm) == 2020:
break
print(f'Part 1: {perm[0] * perm[1]}')
for... |
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
# further reading https://mattmazur.com/2015/03/17/a-step-by-step-backpropagation-example/
# y = mx + c
m = 5000
c = 0
my_feature = [n for n in range(1, 10)]
my_label = [m*n + c for n in range(1, 10)]
label_name =... |
import numpy as np
import cv2
import os
import sys
import time
import torch
from torch import nn
from models.yolo import *
from models.hrnet import *
from utils.detector import *
def predict(file_path, pred_path, module_dir, draw_bbox=False, box_tr=0.7):
# file_path - absolute path to file
# pred_path - abs... |
#LeetCode problem 692: Top K Frequent Words
class Solution:
def topKFrequent(self, words: List[str], k: int) -> List[str]:
d=dict()
a=[]
for i in words:
d[i]=d.get(i,0)+1
res=sorted(d.items(),key=lambda item: (-item[1], item[0]))
for i, j in res:
a.app... |
#
#Artificially Destined
#=============
#by SoapDictator
#
import pygame, sys, math
from pygame.locals import *
sys.path.append('/AD/obj')
sys.path.append('/AD/managers')
sys.path.append('/AD/utils')
from managers import event, window, input, unit, map
class Main(object):
#singleton implementation
instance = Non... |
import numpy as np
from trajectory import Step, Trajectory
class MemoryBuffer:
"""
Implementation of a transition memory buffer
"""
def __init__(self, max_memory_size):
self.max_memory_size = max_memory_size
self._top = 0 # Trailing index with latest entry in env
self._size... |
# APPLE
"""
SOLVED -- LEETCODE#303
Create a class that initializes with a list of numbers and has one method called sum.
sum should take in two parameters, start_idx and end_idx and return the sum of the list
from start_idx (inclusive) to end_idx` (exclusive).
You should optimize for the sum method.
"""
class ... |
import numpy as np
from liegroups.numpy import SE3, SO3
from pyslam.problem import Options, Problem
from collections import OrderedDict, namedtuple
from pyslam.losses import L2Loss, TDistributionLoss, HuberLoss
from pyslam.residuals import PoseResidual, PoseToPoseResidual, PoseToPoseOrientationResidual
from pyslam.uti... |
#!/usr/bin/env python
import sys
import os
import re
import xml.dom.minidom
import StringIO
import random
from mmap import mmap
from multiprocessing import Process
from os import rename, listdir
def main():
fnames = listdir('.')
for oldfname in fnames:
if re.match("[0-9][0-9][0-9] .*", oldfname):
... |
import unittest2
import responses
import dwollav2
class TokenShould(unittest2.TestCase):
client = dwollav2.Client(id='id', secret='secret')
access_token = 'access token'
refresh_token = 'refresh token'
expires_in = 123
scope = 'scope'
account_id = 'account id'
more_headers = {'idempotency... |
import datetime
from collections import OrderedDict
import pandas as pd
from google.cloud import bigquery
CLIENT = None
PROJECT_ID = None
def insert_date_range(sql, date_range):
start, end = date_range
if start is None and end is None: return sql
if start is None:
return sql + ' WHERE `date` <= ... |
from Tkinter import *
from os import *
class GUI(Frame):
def __init__(self, parent, *args, **kwargs):
Frame.__init__(self, parent, *args, **kwargs)
#VARIABLES
self.filelist=[]
self.file=""
##############################
self.win = parent
self.win.geometry("1024x... |
"""
Copyright (c) 2018 Intel Corporation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in wri... |
import random
class RockPaperScissors:
def __init__(self):
self.all_options = ['rock', 'fire', 'scissors', 'snake', 'human', 'tree', 'wolf', 'sponge',
'paper', 'air', 'water', 'dragon', 'devil', 'lightning', 'gun']
self.default_options = ['rock', 'scissors', 'paper']
... |
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