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#!/usr/bin/env python
__author__ = "Sreenivas Bhattiprolu"
__license__ = "Feel free to copy, I appreciate if you acknowledge Python for Microscopists"
# https://youtu.be/VHIM2FKGLzc
"""
@author: Sreenivas Bhattiprolu
Sharpness Estimation for Document and Scene Images
by Jayant Kumar , Francine Chen , D... |
# from pyspark import SparkContext
# myrange = SparkContext.range(0,1000).toDF("number")
# print (myrange)
from pyspark import SQLContext
from pyspark import SparkContext
#from pyspark import SparkSession
# sc = SparkContext()
# myrange = sc.range(1000).toDF("number")
# print (myrange)
from pyspark import SparkContex... |
import pytest
from day_15.part_one import speak_n_say
def test_speak_n_say_one():
nums = [1, 3, 2]
assert speak_n_say(nums, 30000000) == 2578
def test_speak_n_say_two():
nums = [2, 1, 3]
assert speak_n_say(nums, 30000000) == 3544142
def test_speak_n_say_three():
nums = [1, 2, 3]
assert sp... |
"""
1. Создать класс TrafficLight (светофор) и определить у него один атрибут color (цвет) и метод running (запуск).
Атрибут реализовать как приватный. В рамках метода реализовать переключение светофора в режимы: красный, желтый,
зеленый. Продолжительность первого состояния (красный) составляет 7 секунд, второго (желты... |
import pygame
from pygame.locals import *
pygame.init()
color = (15, 200, 100)
color_2 = (155, 200, 99)
colorCirculo = (150, 56, 78)
ventana = pygame.display.set_mode((400, 600))
pygame.display.set_caption('pygame en py ')
pygame.draw.circle(ventana, colorCirculo,(250, 100), 89 )
corriendo = True
#fuentes
fuente = ... |
# coding: utf-8
"""
Fecha de creacion 3/18/20
@autor: mjapon
"""
import datetime
import logging
from sqlalchemy import Column, Integer, String, TIMESTAMP, Text
from fusayrepo.models.conf import Declarative
from fusayrepo.utils.jsonutil import JsonAlchemy
log = logging.getLogger(__name__)
class TParams(Declarative,... |
#encoding=utf-8
from chapt_15.DataDrivenFrameWork.testScripts.TestMail126AddContacts import *
if __name__ == '__main__':
test126MailAddContacts() #测试执行
|
# -*- coding: utf-8 -*-
"""
Created on Fri May 31 04:10:06 2019
@author: Stacy
controller program for testing spacy nlp features
rem: use case: convert us date to uk date
"""
# IMPORTS ------------------------------
# py files
import sys
sys.path.append('jellyfish-mods/')
sys.path.append('spacy-mods/')
sys.path... |
# -*- coding: utf-8 -*-
"""
/***************************************************************************
LandsatQATools
A QGIS plugin
Decode Landsat QA bands.
-------------------
begin : 2017-05-17
git sha : $Fo... |
"""
Description :
Slot-action prediction model.
Finetunes bert-base-uncased model on slot-action prediction data.
Run Command:
python train_slot_act.py -in=<path of the input data> -path=<output dir> -src_file=<name of the python script>
"""
#--------------------------------------------
import torch
import torchtext.... |
from page_objects import PageElement, PageObject
class LoginPage(PageObject):
username = PageElement(name='email')
password = PageElement(name='password')
login_button = PageElement(css='input[type="submit"]')
facebook_button = PageElement(css='.btn-facebook')
|
#Text-Based Tic Tac Toe (Computer Makes Moves Randomly)
#Using https://repl.it/languages/python3
#Author: Robert Beckett
from random import randint
#This function prints the board. (View section)
def PrintBoard():
print(a1, a2, a3)
print(b1, b2, b3)
print(c1, c2, c3)
print("\n")
#This function checks whether e... |
a = {
"năm phát hành" : 2018,
"diễn viên" : "abc",
"Nhân vật tham gia" : "xyz",
}
b = {
"năm phát hành" : 2019,
"diễn viên" : "ghik",
"Nhân vật tham gia" : "lmn",
}
c = {
"năm phát hành" : 2020,
"diễn viên" : "123456",
"Nhân vật tham gia" : "98765",
}
d = [a, b, c]
for x in d:
g ... |
from ossConfig import ossConfig
import Oss
access_key = 'XXXXXXXXX'
secret_key = 'XXXXXXXXXXXXXXXXXXX'
endpoint_url = 'http://XXXXXXXXXXXXXXXXX.com'
config = ossConfig(access_key, secret_key, endpoint_url)
bucket_name = 'test1'
# get_website_configuration
get_website_configuration = Oss.get_bucket_website(config, bu... |
"""Viết chương trình đếm các chuỗi trong một list thỏa mãn:
+ Độ dài từ 2 trở lên
+ Ký tự đầu tiên và cuối cùng của chuỗi đó giống nhau"""
def demchuoi(list):
dem=0
for i in range(len(list)):
if len(list[i])>=2:
if list[i][0]==list[i][len(list[i])-1]: dem+=1
print... |
from collections import defaultdict
from typing import List, Callable, Tuple, Iterable, Dict
from data_generator.tokenize_helper import TokenizedText
from list_lib import lmap, dict_value_map
from misc_lib import group_by, get_first, get_second, get_third
def assert_token_subword_same(idx, entries, t_text):
subw... |
#WHILE LOOPS
'''
i=1
while i<=10:
print('*'*i)
i+=1
print ('Done')
'''
#GUESSING GAME
'''secret_number=9
guess_count=0
guess_limit=3
while guess_count<guess_limit:
guess=int(input('Guess: '))
guess_count+=1
if guess == secret_number:
print('You won!!!')
break
else... |
from django.conf.urls import patterns, url, include
from administration import urls as auth_urls
from paparazzi import views
urlpatterns = patterns(
url(r'^auth/', include(auth_urls)),
url(r'^$', views.api_root),
# /photos/
url(r'^photos/$', views.ListCreatePhoto.as_view(), name='photos'),
) |
import os
from django.shortcuts import render, redirect, reverse, HttpResponseRedirect, get_object_or_404
from .forms import SearchForm
from .models import JobAPI, JobPost
from .utils.api_runner import api_main
def index(request):
searches = JobAPI.objects.all()
context = {
"searches": searches,
... |
import argparse
import os
import shutil
import time
import sys
import csv
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim
import torch.utils.data
import dataloader.data_utils as data_utils
from dataloader.data_utils import get_dataloader
from metric... |
import zipfile
import datetime
import os
import json
import salt.client
import django
import django.template
from django.contrib import auth
import integralstor_gridcell
from integralstor_gridcell import gluster_volumes, system_info
from integralstor_utils import config, audit, alerts, lock, db
import integral_vie... |
from sales import calc_shipping, calc_tax # now what we are calling are the functions
import sales # now what we call after sales.method is called METHOD
sales.calc_shipping()
sale.calc_tax()
calc_shipping()
calc_tax() |
import json as jsonlib
import operator
import re
from abc import ABC
from enum import Enum
from functools import reduce
from http.cookies import SimpleCookie
from types import MappingProxyType
from typing import (
Any,
Callable,
ClassVar,
Dict,
List,
Optional,
Pattern as RegexPattern,
Se... |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import numpy as np
from matplotlib import pyplot as plt
from astropy.io import fits
from photutils import CircularAperture
from astroscrappy import detect_cosmics
from astropy.convolution import convolve_fft... |
# -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2019.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
#... |
# Exercício 5
#Criar dicionário com 5 alunos
#cada aluno precisa ter Nome; data de nascimento; curso; cadeiras
#Escrever função para apagar determinado aluno da base
#Escrever função para inserir alunos na base
#base
aluno1 = {"nome": "Anah", "dt_nasc": "02/02/2002", "curso": "biologia", "cadeiras": ["ab", "cd", "ef"]... |
import streamlit as st
import numpy as np
# from handcalcs.handcalcs import handcalc
# st.write('## Create your transition matrix:')
# text_input = st.text_input('Transition Matrix',help="Separate entries by commas, rows by semicolons")
# if text_input is not None:
# A = np.matrix(text_input)
# st.code(A)
# ... |
import promote
import newspaper
from schema import Schema
from newspaper import Article
import nltk
nltk.download('punkt')
USERNAME = "colin"
API_KEY = "your_api_key"
PROMOTE_URL = "http://promote.c.yhat.com/"
p = promote.Promote(USERNAME, API_KEY, PROMOTE_URL)
@promote.validate_json(Schema({'url': str}))
def Articl... |
from django.db import models
from equipment_accounting_NOF.models import BaseModelAbstract, BaseDictionaryModelAbstract
from locations.models import Locations
from technical_equipments.models import TechnicalEquipments
class SwitchPorts(BaseModelAbstract):
port_num = models.PositiveIntegerField(verbose_name='Номе... |
#coding=utf-8
import re
def main():
email = input("请输入邮箱")
print ("您输入的邮箱是：%s" %email)
rec = re.match(r"[a-z0-9A-Z]{1,20}@163\.com$",email) #此处 需要反斜杠进行转义
#print (rec.group())
if rec:
print ("您输入的邮箱是：%s*********符合规则" %email)
else:
print ("您输入的邮箱是：%s,**********不符合规则" %email)
if __name__ == "__main... |
#!/usr/bin/python
'''Implement the cipher/decipher sytems using AES in either
CBC or CTR mode.
In CTR mode, the IV (initialization vector) is incremented
one each time.
'''
__author__ = "Jin Zhang(zj@utexas.edu)"
__version__ = "$Version: 1.0 $"
__date__ = "$Date: 2014/07/14 00:12:15"
__copyright__ = "Copyright: (c... |
# user interface that people will use to interact with library
# import filters library into this script
from PIL import Image
# Rename this file to be "filters.py"
# Add commands to import modules here.
# Define your load_img() function here.
# Parameters: The name of the file to be opened (string)
# R... |
from datetime import date
from django.core.exceptions import ValidationError
from django.test import TestCase
from animals.models import Animal, Breed, Pet
class AnimalModelTest(TestCase):
fixtures = ['animals.json',]
def test_animal_string(self):
animal_name = "Dog"
animal = Animal.objects... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = "Vinícius Madureira"
__copyright__ = "Copyright 2020, Vinícius Madureira"
__license__ = "Creative Commons Zero 1.0 Universal"
__version__ = "0.01a"
__maintainer__ = "Vinícius Madureira"
__email__ = "viniciusmadureira@outlook.com"
__status__ = "Testing"
from ... |
import numpy as np
import pandas as pd
import pickle
from models import static_clf, dynamic_clf
from sklearn.metrics import f1_score,precision_score,recall_score
def load_data(filepath):
data = pd.read_csv(filepath)
data = data.sample(frac=1)
# data.reset_index(drop=True) <-- this will reset shuffle
... |
# @author Nayara Souza
# UFCG - Universidade Federal de Campina Grande
# AA - Basico
n = int(input())
e = list(map(int,input().split()))
s = list(map(int,input().split()))
j = 0
i = 0
count = 0
f = set()
while len(f) < n:
if e[i] == s[j]:
f.add(s[j])
j += 1
i += 1
... |
import random
def play_game(away_team, home_team):
def play(away_team, home_team):
def calc_event(player, team_defense):
d_sample = random.sample(team_defense, 3)
d_sum = sum(player.get_defense() for player in d_sample)
i = random.randint(0,d_sum)
if(i < player.get_offense()):
return (1, player.ge... |
from django.contrib import admin
# Register your models here.
from .models import Patient_Directory, Doctor_Directory, Assigned_Patient, Assigned_Doctor, Instance
class Assigned_DoctorAdmin(admin.ModelAdmin):
list_display = ('last_name', 'first_name', 'specialty', 'age', 'display_assigned_patient')
pass
# ... |
__all__ = ["interface", "models", "database", "db_registry"]
from registry.models import *
from registry.interface import Registry
from registry.database import DbConnection, connect
from registry.db_registry import DbRegistry, ConflictError |
# TAGS map, partition, equivalence classes, pythonic
import collections
class Solution:
def groupAnagrams(self, strs):
"""
:type strs: List[str]
:rtype: List[List[str]]
"""
m = collections.defaultdict(list)
for s in strs:
ss = str(sorted(s))
... |
from turtle import Screen
from snake import Snake
from scoreboard import Scoreboard
from food import Food
import time
screen=Screen()
screen.setup(width=600,height=600)
screen.bgcolor("black")
screen.title("Snake Game")
screen.tracer(0)
game_is_on=True
score=0
snake=Snake()
scoreboard=Scoreboard(scor... |
import numpy as np
import cPickle
import matplotlib.pyplot as plt
# Open data
f = open('EthEur.p','rb')
A = cPickle.load(f)
dataShape = A.shape
f.close()
(nRows, nCols)= dataShape
print A[nRows-1,:]
nb_data=nRows
init_ind=100
initial_time = A[init_ind,2]#1438945790
final_time = A[nRows-1,2]
price=A[:,0]
volume=A[:... |
#!/usr/bin/env python
# addressBook.py: a very simple email address book program
# By: Fadel Berakdar
# Date: 26 Jan 2016
from optparse import OptionParser
import re
import shelve
import configparser
config = configparser.RawConfigParser()
config.read("/Users/Phoenix/Dropbox/Projects/Code/Python3/12_OptParse/Addres... |
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim
import torch.utils.data
import torchvision.transforms as transforms
import torchvision.datasets as datasets
import torchvision.models as models
import numpy as np
from torch.nn.init import normal, constan... |
#!/usr/bin/env python3
import os
import json
import base64
import lzma
import black
import dis
from flask import (
Flask,
render_template,
request,
send_from_directory,
render_template_string,
redirect,
url_for,
)
app = Flask(__name__)
def compress_state(data):
compressed = lzma.comp... |
# recebe chaves do twitter e o id do usuario e limite de followers para coleta
import conf
import helpers.manipulador_de_listas as mani
import logging
import os
import socket
import sys
import tweepy
consumer_key = sys.argv[1]
consumer_secret = sys.argv[2]
acess_token = sys.argv[3]
access_token_secret = sys.argv[4]
id... |
"""Top-level package for softshark."""
__author__ = """Soft Shell"""
__email__ = 'kumarcalif@gmail.com'
__version__ = '0.1.0'
|
#PIP
ver='1.0.0'
#github.com/smcclennon/Toolbox
import os
os.system('title PIP')
while True:
print('Please enter a package name (e.g. "requests" or "psutil")')
package=input(str('> '))
print('\n>>> pip install '+package+' --user')
os.system('pip install '+package+' --user')
print('\n\n\n')
|
import nsq
import tornado.ioloop
import time
def pub_message():
writer.pub('my_topic', time.strftime('%H:%M:%S'), finish_pub)
def finish_pub(conn, data):
print data
writer = nsq.Writer(['127.0.0.1:4150'])
tornado.ioloop.PeriodicCallback(pub_message, 1000).start()
nsq.run()
|
from flask_migrate import MigrateCommand
from flask_script import Manager
from APP import appname
app = appname()
manager = Manager(app)
manager.add_command('db',MigrateCommand)
if __name__ == '__main__':
manager.run()
|
import unittest
from SwiftFormat.Syntax import *
class IdentifierTest(unittest.TestCase):
def testImplicitParameter(self):
parser = identifier()
assert parser.parse(u"$0")
assert parser.parse(u"$0")[0].meta.type == SwiftTypes.IMPLICIT_PARAMETER
assert parser.parse(u"$1")
as... |
#!/usr/bin/python
import math
def conv(n,k):
c = 1
result = 0
sn = str(n)[::-1]
for i in range(len(sn)):
result += c * int(sn[i])
c *= k
return result
def prime(num):
res = 0
pr = True
for i in range(2, int(math.sqrt(1 + num)) + 1):
if num % i == 0 and i != num :
res = i
pr = False
break
... |
from django.contrib.auth.models import User
from django.test import Client, TestCase
from django.urls import reverse
from .models import Employee
from .utils import createEmployee
class UserTest(TestCase):
def setUp(self):
my_test_user = User.objects.create_user('temporary',
... |
import scanpy as sc
from utils import plot
c_map = 'Purples'
base_path = '/Users/zhongyuanke/data/'
fig_size = (20, 3)
title = ['CD34', 'CD14', 'NKG7', 'CD4', 'CD19']
bar = ['silver', 'r']
file_orig = base_path+'merge_result/merge5.h5ad'
file_scxx = base_path+'result/merge5_scxx_z2.h5ad'
file_mse = base_path+'result... |
# frame => a rectangular container to group and hold widgets
from tkinter import *
window = Tk()
window.geometry("200x200")
frame = Frame(window, bg="pink", bd=5,relief=SUNKEN)
frame.place(x=30, y=50)
Button(frame, text="W", font=("Consolas", 15), width=3).pack(side=TOP)
Button(frame, text="A", font=("Cons... |
import constants
from plate import Plate
class SubmissionCounter():
def __init__(self, world, x, y):
self.__world = world
self.x = x
self.y = y
def put_on_chef_held_item(self, chef):
if isinstance(chef.held_item, Plate):
plate = chef.held_item
chef.held... |
#!/usr/bin/python
import numpy as np
import pandas as pd
from dataReductionAndSampling import DialogueActSample
from gensim.models import KeyedVectors
from keras.callbacks import EarlyStopping
from keras.layers import Dense, Dropout
from keras.models import Sequential
from keras.optimizers import Adam
from sklearn.dec... |
def prj_import(com_import, dst_user_dir, file_name):
com_import.g_target = dst_user_dir
com_import.g_file = file_name
com_import.g_target = dst_user_dir
assert com_import.g_target is dst_user_dir
com_import.Execute()
def prj_dgs_import(com_import, dst_user_dir, file_name, name, template=None):
... |
from django import forms
from .models import Post,Client,Vendor,Match,NumberOfPhases
from django.forms.models import inlineformset_factory
class PostForm(forms.ModelForm):
class Meta:
model=Post
fields='__all__'
class ClientForm(forms.ModelForm):
class Meta:
model=Client
fields='... |
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework.permissions import IsAuthenticatedOrReadOnly
from rest_framework import status
from api.models import Comment
from api.serializers import CommentSerializer
class CommentListAPIView(APIView):
permission_class... |
from django.db import models
from core.models import User
class StudentProfile(models.Model):
student_profile_id = models.UUIDField(primary_key=True)
user = models.OneToOneField(User, on_delete=models.CASCADE)
|
from django.contrib import admin
from podminer.models import Ranking, RankingHistory, UpdateTaskResult, UserMetrics, GlobalTop100,GenreTop100,RegionTop100,CountryTop100,PowerRankingHistory
# Register your models here.
admin.site.register(Ranking)
admin.site.register(RankingHistory)
admin.site.register(UpdateTaskResul... |
#!/usr/bin/env python3
import sys
from sys import argv
import re
import copy
from Bio.PDB import *
from Bio.PDB.MMCIF2Dict import MMCIF2Dict
"""
# pachinam_obj.py
To be used from within PyMOL, right after cif files have been loaded into objects
Uses the already defined objects to pull pairs of chain identif... |
import os
import json
import numpy as np
import tensorflow as tf
import experiments
from db import db
from config import Config
from argparse import ArgumentParser
from utils import logger
from utils import py_utils
from ops import data_loader
from ops import model_utils
from ops import loss_utils
from ops import eval_... |
import numpy as np
import dill
def get_fun(name):
input_file = open(name, 'rb')
return dill.loads(dill.load(input_file))
def is_valid(X, k, n):
K = np.zeros((n, n))
for i in range(n):
for j in range(i, n):
k_i_j = k(X[i], X[j])
k_j_i = k(X[j], X[i])
if k_i... |
from sample import getReport
import argparse
def main():
ap = argparse.ArgumentParser()
ap.add_argument('extension')
args = ap.parse_args()
print("\n".join(getReport(args.extension)))
if __name__=='__main__':
main() |
import re
def get_half(seq):
ssr_obj = re.search(r'([ATCG]+)\1', seq)
if ssr_obj:
return ssr_obj.group(1)
else:
return None
def check_tail(block, sequence, terminal):
block_len = len(block)
potential_tail = sequence[terminal: (terminal + block_len)]
if potential_tail == block... |
import math
num = float(input('Digite um número real: '))
numint = math.trunc(num)
print('A porção inteira de {} eh: {}'.format(num, numint))
|
import numpy
from pandas import read_csv
from sklearn.utils import resample
from sklearn.tree import DecisionTreeClassifier
from sklearn.metrics import accuracy_score
from matplotlib import pyplot
# load dataset
data = read_csv('pima-indians-diabetes.data.csv', header=None)
values = data.values
# configure bootstrap
n_... |
import os
import sys
import platform
import numpy as np
import sklearn.linear_model as sl
import sklearn.model_selection as sm
import matplotlib.pyplot as mp
def make_data():
x = np.array([
[4, 7],
[3.5, 8],
[3.1, 6.2],
[0.5, 1],
[1, 2],
[1.2, 1.9],
... |
import string
import pango, gtk
import gnoetics, tilemodel
class TileTextView(gtk.TextView,
tilemodel.TileModelListener):
def __init__(self, model):
gtk.TextView.__init__(self)
tilemodel.TileModelListener.__init__(self, model)
self.set_editable(0)
self.set_curs... |
firstname = input("Enter first Name : ")
lastname = input("Enter the last Name : ")
tmp = [firstname,lastname]
tmp.reverse()
print(tmp) |
#8.4 Open the file romeo.txt and read it line by line. For each line, split the line into a list of words using the split() method.
#The program should build a list of words. For each word on each line check to see if the word is already in the list and if not append it to the list.
#When the program completes,sort a... |
from __future__ import annotations
from typing import NamedTuple
class Config(NamedTuple):
username: str
channel: str
oauth_token: str
client_id: str
youtube_api_key: str
youtube_playlists: dict[str, dict[str, str]]
airnow_api_key: str
@property
def oauth_token_token(self) -> str... |
from Transmitter import Transmitter
class InputMethod:
def __init__(self):
self.motor_speeds = [0, 0, 0]
# Init transmitter
self.t = Transmitter()
def doListenLoop(self):
while True:
self.getInput()
self.t.send(self.motor_speeds)
def getInput(self):
pass
|
number_element_of_dict = int(input("Nhập số phần tử của Dictionary (lớn hơn 3): "))
number_element_of_list = int(input("Nhập số phần tử của Value List (lớn hơn 5): "))
my_dict = {}
if number_element_of_dict <= 3 or number_element_of_list <= 5:
print("Giá trị nhập không đúng")
else:
for i in range(1, number_elem... |
#!/usr/bin/env python3
"""
DrugCentral PostgreSql db client.
"""
import os,sys,argparse,re,time,logging
from .. import drugcentral
from ..util import yaml as util_yaml
#############################################################################
if __name__=='__main__':
parser = argparse.ArgumentParser(description=... |
from eval import *
import os
import numpy as np
from sklearn.linear_model import Perceptron
import pandas as pd
from utils import tokenize_sentences, MMR
from table import Table
from sklearn.calibration import CalibratedClassifierCV
from sklearn.ensemble import RandomForestClassifier
from sklearn.neural_network import ... |
# Generated by Django 2.2.6 on 2019-11-04 08:21
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [("cases", "0015_auto_20191003_1323")]
operations = [
migrations.AddField(
model_name="image",
name="timepoints",
field=... |
from thefuck.rules.cd_cs import match, get_new_command
from thefuck.types import Command
def test_match():
assert match(Command('cs', 'cs: command not found'))
assert match(Command('cs /etc/', 'cs: command not found'))
def test_get_new_command():
assert get_new_command(Command('cs /etc/', 'cs: command n... |
# coding: utf-8
# In[1]:
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import networkx as nx
from subprocess import check_output
get_ipython().run_line_magic('matplotlib', 'inline')
# In[122]:
df=pd.read_csv('C:\\Users\\p860n111\\Desktop\\data science\\Hw2\\Shakesp... |
#!/usr/bin/env python
# coding:utf-8
'''
Created on:
@author: 张晓宇
Email: 61411916@qq.com
Version: 1.0
Description:
Help:
'''
from core import core
if __name__ == '__main__':
core.run() |
#!/usr/bin/env python
"""Script to check that a commit message is valid"""
# noqa
import argparse
import os.path
import re
import shutil
import sys
from collections import defaultdict
from colorama import Fore, Style
from git import Repo
def check(message):
"""Ensure the message follow some rules.
This i... |
from typing import Callable, Type, TypeVar
from uuid import UUID
from eventsourcing.application import Repository
from eventsourcing.domain import AggregateEvent
E = TypeVar("E", bound=AggregateEvent)
def assert_contains_event(
repository: Repository,
board_id: UUID,
type_: Type[E],
assertions: Call... |
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.cluster import KMeans
from kneed import KneeLocator
import numpy as np
from scipy.spatial.distance import cdist
iris = pd.read_csv('C:/Users/jhunjhun/Downloads/iris.csv')
iris = iris.iloc[:,[2,3]]
sse = []
K = range(1,10)
for k in K:
kmeanModel = KMe... |
# INPUT
cliente=input("Ingrese el nombre del cliente:")
RUC=int(input("Ingrese el numero de RUC:"))
relojes=int(input("Ingrese la cantidad de relojes:"))
pulseras=int(input("Ingrese la cantidad de pulseras:"))
cadenas=int(input("Ingrese la cantidad de cadenas:"))
precio_de_un_reloj=float(input("Ingrese el precio de un ... |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
# Autor: Ingmar Stapel
# Date: 20141229
# Version: 1.0
# Homepage: www.raspberry-pi-car.com
import sys, tty, termios, os
from L298NHBridge import HBridge
speedrun = 0
anglesteer = 0
Motors = HBridge(19, 26, 23, 24, 13, 21, 22)
# Instructions for when the user has a... |
'''
Created on Jun 29, 2017
@author: Xueping
'''
from sklearn.decomposition import LatentDirichletAllocation
import pandas as pd
import numpy as np
def load_Preprocess():
df = pd.read_csv("~/data/hab_test.csv", dtype={'hab_test.tot_visit': np.float32,'hab_test.tot_visit_ed': np.float32,'hab_test.tot_visit_a... |
# -*- coding: utf-8 -*-
"""Test base."""
#------------------------------------------------------------------------------
# Imports
#------------------------------------------------------------------------------
import logging
import numpy as np
from pytest import fixture
from ..base import BaseVisual, GLSLInserte... |
import random
import time
with open("words.txt") as f:
words = f.read().splitlines()
class Game:
def __init__(self, name):
self.name = name
red_first = True
self.colors = self.init_colors(red_first)
self.selections = [False] * 25
self.last_touched = time.time()
... |
import django.shortcuts
from .models import Author
# Create your views here.
def authors_list(request):
# print(request)
# return HttpResponse('<h1>Hello!</h1>')
authors = Author.objects.all()
return django.shortcuts.render(request, 'project_first_app/index.html', context={'authors': authors})
def ... |
from eso_bot.backend.helpers import command_invoked
from discord.ext.commands import Cog, command
class Admin(Cog, name="Admin commands"):
"""
Admin commands.
"""
def __init__(self, bot):
self.bot = bot
self.admins = [391583287652515841]
@command(name="stop")
async def resta... |
import numpy as np
def identify_quant_cols(
# TODO: add any arguments here
):
# TODO: write code that will return a list of the quantitative columns in a dataframe
pass
def make_col_positive(
#identify the smallest negative number, and add that to the entire dataset to shift everything into ... |
from tkinter import *
from tkintertable import TableCanvas, TableModel
from PIL import ImageTk,Image
import os
import csv
import cv2
import time
from functools import partial
from utils import decode_video, get_image
class get_labels_single():
def __init__(self,labels_csv,):
def read_csv(t... |
import itertools
w, h, k = map(int, input().split())
C = [input() for _ in range(h)]
I = [f'i{i}' for i in range(h)]
J = [f'j{i}' for i in range(w)]
combi = []
for i in range(w+h):
combi.extend(itertools.combinations(I + J, i))
|
#
# Ghost_evade w/ standard DQN at work.
#
#
import gym
import numpy as np
import time as time
import tensorflow as tf
import tf_util_rob as U
import models as models
import build_graph_rob3 as build_graph
from replay_buffer import ReplayBuffer, PrioritizedReplayBuffer
from schedules import LinearSchedule
import matplo... |
# Generated by Django 2.2 on 2019-04-21 21:24
from django.db import migrations, models
import django.db.models.deletion
import uuid
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Racer',
fields=[... |
# -*- coding: utf-8 -*-
"""
Created on Sat Sep 28 09:29:06 2019
@author: Aaron
"""
import pandas as pd
file_one = "Resources/election_data.csv"
file_one_df = pd.read_csv(file_one, encoding="ISO-8859-1")
title = "Election Results\n \n------------------------"
print(title)
#Find Total Votes
total_votes = file_one_d... |
# -*- coding: utf-8 -*-
"""
Created on Apr 11 2020
@author: Felix Brinquis
Description: este programa recibe como parametro un fichero en formato TCX Garmin, lee el contenido
del mismo y lo convierte en un dataframe.
"""
# Importacion de librerias
from lxml.etree import parse as lxml_parse
from dateutil.parser impor... |
import pygame
import time
import random
pygame.init()
display_width = 800
display_height = 600
black = (0,0,0)
white = (255,255,255)
red = (255,0,0)
car_width = 74
global_speed = 0 #speed everything falls at, increase to make things faster
speed_counter = 0
gameDisplay = pygame.display.set_mod... |
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