text stringlengths 38 1.54M |
|---|
import pandas as pd
df = pd.read_csv('train/images.csv')
num_classes = len(pd.unique(df['label']))
numbers_to_classes = {}
classes_to_numbers = {}
for n, plankton_cat in enumerate(df['label'].unique()):
numbers_to_classes[n] = plankton_cat
classes_to_numbers[plankton_cat] = n
list = ['image']
for n, values in e... |
import sqlite3
from datetime import date
def conectar_banco(nome_bd):
return sqlite3.connect(nome_bd)
def criar_cursor(conexao):
return conexao.cursor()
def criar_tabela_computador(cursor):
comando = \
'CREATE TABLE IF NOT EXISTS' \
' computador (' \
' codigo INTEGER PR... |
from matplotlib import pyplot as plt
from sklearn.metrics import precision_recall_curve, roc_curve
def evaluating_models( y_test, y_predicted, name):
########################################################################################################################
# ####### ... |
#
# Copyright 2017-2019 B-Open Solutions srl.
# Copyright 2017-2019 European Centre for Medium-Range Weather Forecasts (ECMWF).
#
# 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://ww... |
import sys
sys.path.insert(1, 'D:\Sync\Advanced Database Topics\FinalProject\Max Repo\ADTFinalProject\src\MongoDBAtlasAPI')
import pandas as pd
import datetime
import time
from MongoDBAtlasAPIAuthentication import MongoDBAtlasAPIAuthentication
if __name__ == "__main__":
mdbaa = MongoDBAtlasAPIAuthentication()
... |
# This Task is the base task that we will be executing as a second step (see task_piping.py)
# In order to make sure this experiment is registered in the platform, you must execute it once.
from clearml import Task
# Initialize the task pipe's first task used to start the task pipe
task = Task.init('examples', 'Toy B... |
import json
from typing import Iterable
from confluent_kafka.cimpl import Producer
from pk_kafka.consumers.exceptions import MessageValueException
class KafkaProducer:
"""
Start a new Producer to publish message to topic
"""
def __init__(self, broker_address, handle_json_message_data=True):
... |
#coding: utf-8
from os import remove as rm
from os.path import basename, dirname, join as path_join, realpath, isdir
from sh import unzip
import tempfile
from osext.filesystem import rmdir_force, sync as dir_sync
import httpext as http
import os
import langutil.php as php
class WordPressError(Exception):
pass
... |
# External module imports
import RPi.GPIO as GPIO
import time
import led_control as ledc
from play_song import play_song
"""
Pin list:
GND - black wire) - 6
LED Control - green - GPIO18 - 12
Computer - purple - GPIO17 - 11
Motor 1 - yellow - GPIO23 - 16
Motor 2 - orange - GPIO24 - 18
Power Str... |
import pandas
# load all necessary libraries
import pylab as pl
from sklearn.cluster import KMeans
from sklearn.decomposition import PCA
# loading data
variables = pandas.read_csv(r'C:\Users\bsidd\Downloads\Python_Lesson6\Python_Lesson6\sample_stocks.csv')
#load returns, dividendyield to x,y
Y = variables[['returns']]
... |
from django.conf.urls import patterns, url
from .views import FsAuth, FsCallback
urlpatterns = patterns('',
# Receive OAuth token from 4sq.
url(r'^callback$', FsCallback.as_view(), name='oauth_return'),
# Authenticate with 4sq using OAuth.
url(r'^auth$', FsAuth.as_view(), name='oauth_auth'),
)
|
class Solution:
def minAbsoluteSumDiff(self, nums1: List[int], nums2: List[int]) -> int:
modulo = 10**9 + 7
abs_diff = [abs(nums1[i] - nums2[i]) for i in range(len(nums1))]
ans = sum(abs_diff)
#if len(set(abs_diff)) == 1:
if ans == 0:
# i.e. all diff are 0
... |
#!/usr/bin/env python
import rospy
from std_msgs.msg import Float32
from geometry_msgs.msg import TwistWithCovarianceStamped
from PID import Controller
def main():
rospy.init_node('blimp_controller', anonymous=True)
rate = rospy.Rate(10) # 10hz
controller = Controller()
while not rospy.is_shutdown():
... |
class Module:
"""
ネットワークの構造に入るも
"""
def __init__(self):
pass
def build(self, inputs_shape):
return inputs_shape
def forward(self, inputs):
return inputs
def backward(self, delta):
return delta
class Layer(Module):
"""
重みの更新が必要なもの
"""
d... |
json_file = "manage.json"
guild_id = 582705077572075535
schedule_channel_id = 598833688402198528
#カリンさんを動かすのに必要
zatsudan_channel_id = 582956584624324618
minerva_id = 634687198842716160
clan_dicts = [{"role_id":582952905653485568,
"command_channel":607602971512930345,
"remain_totsu_channel":63691388... |
import os
import numpy as np
import h5py
import argparse
import time
import logging
import keras
import keras.backend as K
from sklearn import metrics
from keras.models import Model
from keras.optimizers import Adam
from keras.layers import Input, Dense, BatchNormalization, Dropout, Lambda, Activation, Concatenate
#fr... |
from abc import abstractproperty
from vmanage.entity import HelperModel,Model,ModelFactory
from vmanage.policy.model import Definition,CommonDefinition,SequencedDefinition
from vmanage.policy.model import Policy,GUIPolicy,CLIPolicy
from vmanage.policy.model import DefinitionApplication,SequencedDefinition
from vmanag... |
# -*- coding: Cp1250 -*-
from data import locations
from data.turnus_type import TurnusType
from data.general import DataContainer
import os
import sys
import csv
def input_turnus_types():
FILES_DIR = os.path.join('persistence', 'data', 'start_data')
FILE_NAME = 'vrste_turnusov.csv'
... |
import torch
from torch.utils.data import Dataset
import os
import numpy as np
import cv2
import matplotlib.pyplot as plt
class KneeMRI(Dataset):
def __init__(self, target_dir, noise_dirs):
self.target_dir = target_dir
self.noise_dirs = noise_dirs
self.target_files = []
self.noise... |
from django.contrib import admin
admin.site.site_header = 'BYTEME Admin'
admin.site.site_title = 'BYTEME Admin' |
# Restart 28. 특정 문자열로 끝나는 가장 긴 부분 문자열 찾기
'''
Not solve this problem by myself.
So see this again
'''
def solution(myString, pat):
answer = myString[:len(myString) - myString[::-1].index(pat[::-1])]
# print(myString[:len(myString)])
# print(myString[::-1])
# print(myString[::-1].index(pat[::-1]))
# ... |
from bs4 import BeautifulSoup
from urllib.request import urlopen
import re
pages = set()
def get_links(page_url):
global pages
html = urlopen('http://en.wikipedia.org' + page_url)
bs_obj = BeautifulSoup(html.read(), 'html.parser')
try:
print(bs_obj.h1.get_text())
print(bs_obj.find(id... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
"""
Module that contains consts definitions used by libraries
"""
from __future__ import print_function, division, absolute_import
from Qt.QtCore import Signal, QObject
from Qt.QtGui import QColor
# class LibraryItemSignals(QObject, object):
# """
# Class that... |
#!/usr/bin/env python3
""" Run an adversarial attack """
import os
import json
import scipy
import joblib
import argparse
import numpy as np
from os.path import join
from keras import backend as K
from inception_v3 import InceptionV3
from keras.preprocessing import image
from keras.utils.data_utils import get_file
fr... |
from itertools import combinations
import sys
def get_score(arr, team):
score = 0
for a, b in combinations(team, 2):
score += arr[a][b] + arr[b][a]
return score
n = int(sys.stdin.readline().strip())
arr = [list(map(int, sys.stdin.readline().strip().split())) for _ in range(n)]
best_score = float(... |
from __future__ import print_function
from neural_network import NeuralNetwork
from nn_img2num import NnImg2Num
from my_img2num import MyImg2Num
import numpy
import random
import torch
import torchvision
from torch.autograd import Variable
def test():
#prepare sample input for forwad()
train_loader = torchvision.da... |
"""Store the data in a SQLite database.
Usage:
$ python make_db.py
# Drop DB and verbose output
$ python make_db.py -d -v
"""
import os
import time
import logging
import argparse
import pandas as pd
import sqlalchemy as sa
from argparse import RawDescriptionHelpFormatter
logger = logging.getLogger(__nam... |
# -*- coding: utf-8 -*-
from binance.client import Client
from binance.enums import *
from binance.websockets import BinanceSocketManager
import time
from datetime import datetime
import prettytable as pt
from settings import MarginAccount
from settings import BinanceKey1
api_key = BinanceKey1['api_key']
api_secret ... |
import random
def ia(boxes):
if (random.randint(0, 1)):
return ('G')
else:
return ('D')
|
from bs4 import BeautifulSoup
import requests
from win32com.client import Dispatch
import win32com.client as wincl
import datetime
import time
# def speak(text): # male voice
# speak = Dispatch("SAPI.SpVoice")
# speak.Speak(text)
def speak(text): # female voice
speaker_number ... |
from bs4 import BeautifulSoup
import requests
import re
response = requests.get('https://en.wikipedia.org/wiki/Neighborhoods_in_New_York_City')
soup = BeautifulSoup(response.text, 'html.parser')
table = soup.table.find_all('td')
count = 4
n = []
while count < len(table):
content = str(table[count])
content = c... |
# -*- coding: utf-8 -*-
"""
-------------------------------------------------
File Name： testKafka
Description :
Author : ZWZ
date： 18-6-15
-------------------------------------------------
Change Activity:
18-6-15:
-------------------------------------------------
"... |
# -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
import numpy as np
mat1=np.zeros((4,4),dtype=int)
print(mat1)
#Negate all values which are more than 5 in a row
arr1=np.arange(11)
arr1[arr1>5]=-arr1[arr1>5]
arr1[6:]=-arr1[6:]
mat1 = np.array([['abc','A'],['def','B'],['ghi','C'],... |
business_names = [ "burger king", "McDonald's", "super duper burger's", "subway", "pizza hut","pizza fateh"]
searchTerm = "duper bur"
res = []
for i in business_names:
split_name = i.split()
searchtermsplit = searchTerm.split()
count = 0
for words in split_name:
for search1 in searchte... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.1 on 2018-03-18 23:21
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('terrainapp', '0006_auto_20180318_1413'),
]
... |
import sys
from io import BytesIO
import urllib.request
from bs4 import BeautifulSoup
import telegram
from flask import Flask, request, send_file
from time import sleep;
from fsm import TocMachine
#API_TOKEN = '488582332:AAE7swIh7w7ZM0sRUstZqubH5LKvHjz0Is0'
API_TOKEN='510481981:AAEZsN2FIDJLE7DCaM69BWDuzxguM5A-h_Q'
la... |
__author__ = 'apavlenko'
import random
from model.contact import Contact
def test_modify_contact_db(app, db, check_ui):
old_contacts = db.get_contact_list()
if len(old_contacts) == 0:
app.contact.add_new_wo_group(Contact(firstname=app.firstname, middlename=app.middlename, lastname=app.lastname))
... |
#!/usr/bin/env python3
########################################################
### Grading Script for CSE 231 ###
### Built by Cody Littley ###
### First used January 2014 ###
########################################################
import sys... |
class Solution(object):
def wiggleMaxLength(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
if len(nums) <= 1:
return len(nums)
i = 1
while i < len(nums) and nums[i] == nums[i - 1]:
i += 1
if i == len(nums):
r... |
from encoder.params_model import model_embedding_size as speaker_embedding_size
from utils.argutils import print_args
from utils.modelutils import check_model_paths
from synthesizer.inference import Synthesizer
from encoder import inference as encoder
from vocoder import inference as vocoder
from pathlib import Path
fr... |
import reversion
from django.conf import settings
from django.contrib.gis.db import models
from django.contrib.postgres.fields import JSONField
from django.core import validators
from django.core.exceptions import ValidationError
from django.utils.functional import cached_property
from base.fields import AutoUUIDField... |
# Generated by Django 3.1.2 on 2020-10-08 12:46
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('webgui', '0002_auto_20201008_1150'),
]
operations = [
migrations.AddField(
model_name='booking',
name='token',
... |
# cook your dish here
# from math import *
#for _ in range(int(input().strip())):
x,y,z=map(int,input().split())
print((x-z)//(y+z)) |
#Steven Brown
#Assignment_3
# 25 FEB 2016
from __future__ import print_function
import unittest
import sys
trace = False
'''A dictionary class implemented by hasing and chaing. The set
is represented internally by as list of lists. The outer list is
initialized to all None's. When multiple values hash to... |
from x1scr.apps.news.models import News
from django import template
register = template.Library()
@register.inclusion_tag('news.html')
def pull_latest_news(howmany=3):
news = News.objects.filter(published=True).order_by('-date_published')[:howmany]
return dict(news=news)
|
# Copyright (C) 2019-2025 by
# ATTA Amanvon Ferdinand <amanvon238@gmail.com>
# All rights reserved.
# BSD license.
#
# Author: ATTA Amanvon Ferdinand (amanvon238@gmail.com)
"""
Ce module recoit les paramètres utiles aux cycles de simulation .
Ces paramètres lui servent à créer la topologie à utiliser ... |
import asyncio
import logging
import struct
import sys
from aiohttp import web
from .run_exec import run_exec
FMT_ID = b'\x01T91\x1d'
HEADER_STRUCT = '>5s2B2I'
MAX_LEN = 128 * 1024
logger = logging.getLogger('t9_exec_server')
logger.setLevel(logging.DEBUG)
handler = logging.StreamHandler()
handler.setLevel(logging.D... |
import time
print("Welcome User \nCreated by:- Simarjot Singh")
def myAlarm():
try:
myTime = list(map(int, input("Enter in hh mm ss format: ").split()))
if len(myTime) == 3:
total = myTime[0]*3600 + myTime[1]*60 + myTime[2]
time.sleep(total)
for i in range(10):
print('\a')
... |
import boto3
import re
from datetime import datetime,timedelta
from botocore.exceptions import ClientError
import boto3.session
def check_volume(volume_id):
if not volume_id: return ''
try:
volume=client.describe_volumes(VolumeIds=[volume_id])
if not volume['Volumes'][0]['VolumeId']:
... |
"""
Module to work with raw voltage traces. Spike sorting pre-processing functions.
"""
from pathlib import Path
import numpy as np
import scipy.signal
import scipy.stats
import pandas as pd
from joblib import Parallel, delayed, cpu_count
from iblutil.numerical import rcoeff
import spikeglx
import neuropixel
import ... |
#python3
import sys
def money_change_greedy_util(money, coins):
count = 0
for coin in coins:
if(money <= 0):
break
if(money >= coin):
count += money // coin
money = money % coin
return count
def money_change_greedy(money):
return money_change_greedy... |
import unittest
from tdasm import Runtime
from sdl import Shader, StructArg, IntArg, Ray, Vector3
from renlgt.sphere import Sphere
from renlgt.hitpoint import HitPoint
from renlgt.shp_mgr import ShapeManager
from renlgt.linear import LinearIsect
class LinearIsectTests(unittest.TestCase):
def test_linear(self):
... |
from django.db import models
from django.contrib.auth.models import AbstractUser
# Create your models here.
class Author(models.Model):
name = models.CharField(max_length=20)
email = models.EmailField()
description = models.TextField()
def __str__(self):
return self.name
class Tag(models.Mo... |
from django.contrib import admin
from login.models import UserProfile
@admin.register(UserProfile)
class UserProfileAdmin(admin.ModelAdmin):
list_display = ("pk", "user")
list_display_links = ("pk", "user")
search_fields = ("user__username",)
readonly_fields = ("user",)
|
import webbrowser
class Movie():
"""File - media.py
class Movie
This file used to create the movie blueprint.
There are 5 constructors for the movie object.These are: title,
poster_image_url, trailer_youtube_url, rating and movie storyline.
File - entertainment_center.py
In this file object... |
import os
import asyncio # noqa: F401
import discord
import logging
from discord.ext import commands
from cogs.utils.dataIO import dataIO
from cogs.utils import checks
import json
import random
class Quote:
"""Simple quote cog"""
__author__ = "pitikay"
__version__ = "0.1"
def __init__(self, bot):
... |
import os
import re
import subprocess
from Queue import Queue, Empty
from threading import Thread
import uuid
import os
import shutil
import sys
from celery import Celery
from celery.contrib import rdb
from ovirt_imageio_common import directio
from kombu import Queue as kqueue
import json
import random
import logging... |
# str1 = input()
str1='abcdefghijklmnopqrstuvwxyz'
print(str1[2]) # третий символ этой строки;
print(str1[-2]) # предпоследний символ этой строки;
print(str1[:5]) # первые пять символов этой строки;
print(str1[:-2]) # всю строку, кроме последних двух символов;
print(str1[::2]) # все символы с четными индексами;
pr... |
from .firefly_task import Model
from .firefly_task import dynamics
#from .env_utils import pos_init
from .env_utils import *
#from .env_variables import *
"""
# these are for gym
from .gym_input import true_params
from gym.envs.registration import register
register(
id ='FireflyTorch-v0',
#entry_point ='Firef... |
#!/usr/bin/env python
# coding: utf-8
from tests.common import TestCase
from tests.common import BASEDIR
from clocwalk.libs.detector.cvecpe import cpe_compare_version
class CPETestCase(TestCase):
def setUp(self):
pass
def test_compare(self):
self.assertTrue(cpe_compare_version(rule_version... |
# Description: Calculate yearly averages from monthly files.
#
# Author: André Palóczy
# E-mail: paloczy@gmail.com
# Date: January/2018
import numpy as np
import matplotlib
from glob import glob
from os import system
from datetime import datetime
from netCDF4 import Dataset, num2date
from pandas impor... |
from odoo import models, fields, api
# 借出人表，一对多，一个人可借出多个资产
class User(models.Model):
_name = 'assets.manager'
_description = '资产借出人'
name = fields.Char('资产借出人', required=True)
card_number = fields.Char('联系电话')
email = fields.Char('电子邮箱')
desc_detail = fields.Text('备注') # 使用人备注
# user_ids ... |
# 撰寫一程式，檔案名稱 ttt_check_position.py
# 定義棋盤格狀態變數 cell_1 ~ cell_9 如下，
# 提示使用者輸入棋子位置（整數 0-9 ），保存在變數 position，
# 檢查該棋盤格位置是否可以落子（可以放棋子在上面），
# 如果不行，顯示 '錯誤，此位置已經有棋子了，結束程式'，並退出程式
# 棋盤格變數：保存棋盤狀態的變數
# 變數編號對應的棋盤位置如下
# 1 | 2 | 3
# ---+---+---
# 4 | 5 | 6
# ---+---+---
# 7 | 8 | 9
cell_1 = ' '
cell_2 = ' '
cell_3 = 'o'
cell_4... |
from flask_classful import FlaskView, route
from applicatioin import db
from flask import render_template, request
from flask import redirect, url_for
from applicatioin.forms.forms import InputForm
from fuzzywuzzy import fuzz
import re
from applicatioin.Builders.ModelBuilder import *
class InputView(FlaskView):
def c... |
def FirstNotRepeatingChar(s):
# write code here
map = {}
for i in range(len(s)):
map[s[i]] = map.get(s[i], 0) + 1
for i in range(len(s)):
if map[s[i]] == 1:
return i
return -1
print(FirstNotRepeatingChar('abac'))
# ½â·¨¶þ
# -*- coding:utf-8 -*-
class Solution:
def F... |
import numpy as np
from typing import Dict
from sklearn.mixture import GaussianMixture
from alibi_detect.od.sklearn.base import SklearnOutlierDetector
class GMMSklearn(SklearnOutlierDetector):
def __init__(
self,
n_components: int,
):
"""sklearn backend for the Gaussian Mixture Model ... |
##########################################################################
#
# Copyright (c) 2022, Cinesite VFX Ltd. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions ... |
API_VERSION = '1.6'
USER_AGENT = 'cmtt-python-wrapper'
CALLS_LIMIT = 3
LOG_FORMAT = '%(asctime)s - %(name)s - %(levelname)s - [%(filename)s:%(lineno)d] - %(message)s'
|
# Standard Library Imports
import urllib2
import re
# Core Django Imports
from django.core.management.base import BaseCommand
from django.template.defaultfilters import slugify
from django.utils.encoding import smart_str
# Third Party App Imports
import bs4
# This App Imports
from main.models import CIAWFBFieldInfo,... |
#Creating a racing turtle game using loops and drawing a race track
from turtle import *
from random import randint
speed(10)
penup()
goto(-140,140)
for step in range(25):
write(step, align='center')
right(90)
forward(10)
pendown()
forward(150)
penup()
backward(160)
left(90)
forward(20)
#ada
ada = T... |
from aiorequest import Credentials
from tests.markers import asyncio, unit
pytestmark = [unit, asyncio]
async def test_username(credentials: Credentials) -> None:
assert await credentials.username == "superuser"
async def test_password(credentials: Credentials) -> None:
assert await credentials.password ==... |
#!/bin/python3
import sys
S = input()
try:
x = int(S)
except ValueError:
print("Bad String")
else:
print(x)
|
from django.db import models
# Create your models here.
class NewsInfo(models.Model):
Title = models.CharField(max_length=100)
Url = models.CharField(max_length=100)
Author = models.CharField(max_length=20)
Time = models.CharField(max_length=50)
Reading = models.CharField(max_length=20)
Comm... |
# import the necessary packages
from enum import Enum
import numpy as np
import imutils
import cv2
import time
from Agent import Agent, AgentType
from KinematicsAgent import *
from Entities import Color, Block, Polygon
class SensorAgent(Agent):
def __init__(self, agentType):
Agent.__init__(self, agentTy... |
#!/usr/bin/env python
# coding: utf-8
from setuptools import setup, find_packages
from io import open
d = 'Integrates peewee and bottle to produce JSON API compatible web services.'
version = '0.0.1'
setup(
name='corkscrew',
version=version,
description=d,
long_description=open('README.rst', 'r', enc... |
import asyncio
import json
import threading
import websockets
import secrets
import time
from .RainbowSocksClient import RainbowSocksClient
from .RainbowSocksServer import RainbowSocksServer
#loop = asyncio.get_event_loop()
#loop.run_until_complete(run_test(loop))
|
#!/usr/bin/python
# -*- coding: utf-8 -*-
'''
2.13 字符串连接及合并
Created on 2016年7月29日
@author: wang
'''
parts = {'IS', 'Chicago', 'Not', 'Chicago?'}
print ' '.join(parts)
print ','.join(parts)
print ''.join(parts)
a = 'Is Chicago'
b = 'Not Chicago?'
print a + ' ' + b
print('{} {}'.format(a,b))
print... |
from datetime import datetime as dt
from dateutil.relativedelta import relativedelta
import numpy as np
import pandas as pd
FOLDS = [
{
"train": [
("2005-01-01", "2015-12-31"),
("2018-01-01", "2020-06-30"),
],
"test": [
("2020-06-01", "2020-12-31"),
]
},
{
"trai... |
import os
all_file = []
def get_all_files(path):
all_file_list = os.listdir(path)
for file in all_file_list:
file_path = os.path.join(path, file)
if os.path.isdir(file_path):
get_all_files(file_path)
all_file.append(file_path)
return all_file
#使用walk()函数
def getallfiles(path):
for dirpath, dirname, ... |
import numpy as np
import matplotlib.pyplot as plt
# autor: backup_python.dev
theta = np.linspace(0,2*np.pi)
r = 5 + 50*theta
plt.style.use('Solarize_Light2')
plt.figure(figsize=(10, 6), dpi=90)
#theta = np.linspace(0,2*np.pi,1000)
#r = 4**2*np.sin(2*theta)
plt.subplot(111, projection="polar")
p... |
# my solution
def reverse(self, x: int) -> int:
stri = ""
negative = False
if x < 0:
negative = True
stri = str(x)[1:]
else:
stri = str(x)
new = ""
for i in stri:
new = i + new
if int(new) > pow(2, 31) - 1:
return 0
i... |
from django.db import models
# Create your models here.
class User(models.Model):
user_name = models.CharField(max_length=20)
user_email = models.EmailField(max_length=50)
user_phone = models.IntegerField()
def __str__(self):
return self.user_name |
import moviepy.editor as mpy
from tensorflow.python.keras import activations
from tensorflow.python.keras import backend as K
import tensorflow as tf
import cv2
from matplotlib import cm
try:
from vis.utils import utils
except:
raise Exception("Please install keras-vis: pip install git+https://github.com/autoro... |
import bisect
from collections import Counter
def binary_in(arr, el, start):
pos = bisect.bisect_left(arr, el, start)
return pos < len(arr) and arr[pos] == el
class Solution(object):
def threeSum(self, nums):
"""
:type nums: List[int]
:rtype: List[List[int]]
"""
n... |
from rest_framework.routers import DefaultRouter
from . import viewsets
router = DefaultRouter()
router.register(
r"topics",
viewsets.TopicViewSet,
basename="topics"
)
router.register(
r"evaluations",
viewsets.EvaluationViewSet,
basename="evaluations"
)
router.register(
r"solutions",
v... |
# level 2 solving strategies
# functions here:
# from level2 import Naked_Multiple,Hidden_Multiple,Lines_2,NT,NT_chains,Y_Wing,
def Naked_Multiple(unit):
found = False
for mult in range(3,8):
done = []
for cell in range(len(unit)):
if type(unit[cell]) == str:
if len... |
#using memoization
n = int(input())
dp = [0,1,2,4,7]
if n < 5:
print(dp[n])
print('the program ended')
for i in (5,n):
dp.append(dp[i-3]+dp[i-2]+dp[i-1])
print(dp[-1]) |
import sys
cardTypes = {"T": 0, "C": 0, "G": 0}
for i in sys.stdin:
cardsInput = i.strip("\n")
result = 0
for card in cardsInput:
cardTypes[card] += 1
for card in cardTypes:
totalCardsType = cardTypes[card]
result += totalCardsType*totalCardsType
zeroLess = False
while ... |
from collections import defaultdict, deque
rr = lambda: input()
rri = lambda: int(input())
rrm = lambda: list(map(int, input().split()))
INF=float('inf')
def solve(N,K,B):
groups = defaultdict(list) # alice, bob, both books
for time,alike,blike in B:
if alike and blike:
groups['c'].append(time)
elif alike:
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jan 24 23:21:25 2019
@author: trosales
"""
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
from sklearn.neighbors import KNeighborsRegressor
import pandas as pd
#import matplotlib.pyplot as plt
... |
import tensorflow as tf
from tensorflow.keras.layers import Dense, Input, Conv1D, LSTM, Reshape, Flatten, GRU,SimpleRNN
import tensorflow.keras.backend as K
from tensorflow.keras import Model
from tensorflow.keras.optimizers import Adam
import numpy as np
tf.set_random_seed(2212)
class Actor:
def __init__(self, s... |
def solution(n, money):
dp = [0] * (n + 1)
for m in money:
if m > n:
continue
for i in range(m, n + 1):
if i == m:
dp[i] += 1
else:
dp[i] += dp[i - m]
return dp[n] |
#!/usr/bin/env python
import os
import json
import sys
from elasticsearch import Elasticsearch
es = Elasticsearch()
if not (len(sys.argv) == 2):
print "USAGE:", sys.argv[0], "<path to dir with .json files>"
sys.exit(1)
for base, subdirs, files in os.walk(sys.argv[1]):
for name in files:
if name.... |
# -*- coding: utf-8 -*-
"""
Created on Sat Jan 4 11:53:10 2020
TF-functions copied from https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/14_DeepDream.ipynb
"""
import PIL as PIL
import numpy as np
import tensorflow as tf
import utils as utils
import tensorflow.compat.v1 as tfc
import math
im... |
# -*- coding: utf-8 -*-
import scrapy
import redis
from scrapy_splash import SplashRequest
from standalone.items import StandaloneItem
from scrapy.spiders import CrawlSpider
from urllib.parse import urlparse
from scrapy.linkextractors.lxmlhtml import LxmlLinkExtractor
import re
hostip='127.0.0.1'
job_redis = redis.Red... |
menu = {
'Appetizers': ['Wings', 'Cookies', 'Spring Rolls'],
'Entrees': ['Salmon', 'Steak', 'Meat Tornado', 'A Literal Garden'],
'Desserts': ['Ice Cream', 'Cake', 'Pie'],
'Drinks': ['Coffee', 'Tea', 'Unicorn Tears'],
}
def print_welcome():
print('*' * 38 + '\n' + '*' * 2 + ' ' * 4 + 'Welcome to the Snakes Ca... |
import FWCore.ParameterSet.Config as cms
process = cms.Process("PROD2")
process.Tracer = cms.Service('Tracer',
dumpContextForLabels = cms.untracked.vstring('intProducer'),
dumpNonModuleContext = cms.untracked.bool(True)
)
process.MessageLogger = cms.Service("... |
# -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
from scrapy.spiders import Spider
import re
from scrapy import Request
from scrapy.pipelines.images import ImagesPipeline
from ... |
n = int(input('Podaj liczbę od 1 do 10: '))
for i in range(1, 11, ):
print(n, 'x', i, '=', n * i)
|
# Generated by Django 2.0.5 on 2018-05-21 20:51
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('room', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='tile',
name='desc',
field=mode... |
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