text stringlengths 8 6.05M |
|---|
class AbstractBackend:
NAME = None
SALT = None
@classmethod
def handle(cls):
raise NotImplementedError()
|
from snakemake.utils import R
import sys
"""
Author: D. Puthier
Affiliation: AMU
Aim: A simple Snakemake workflow to process paired-end stranded RNA-Seq.
Date: Mon Nov 2 14:03:11 CET 2015
Run: snakemake -s Snakefile
Latest modification:
- todo
"""
##-----------------------------------------------##
## A set of f... |
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from .db import models
from .db.database import engine
from .routers import job, employee
models.Base.metadata.create_all(bind=engine)
app = FastAPI()
origins = [
"http://localhost",
"http://localhost:3000",
]
app.add_middleware(... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from textblob.classifiers import NaiveBayesClassifier
import pickle
import os.path
import hashlib
from textblob import TextBlob
import json
DEBUG=True
trained_classifier = 'nb.classifier'
def loadSet(path, polarity):
sentences = []
with open(path) as f:
... |
import enum
import sre_compile
import sys
from _typeshed import ReadableBuffer
from collections.abc import Callable, Iterator
from sre_constants import error as error
from typing import Any, AnyStr, Match as Match, Pattern as Pattern, overload
from typing_extensions import TypeAlias
__all__ = [
"match",
"fullm... |
# coding=utf-8
# Copyright 2014 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import (absolute_import, division, generators, nested_scopes, print_function,
unicode_literals, with_statement)
import os
from twit... |
x,y=15,45
res=x if x<y esle y
print(res) |
#
# This file is part of LUNA.
#
# Copyright (c) 2020 Great Scott Gadgets <info@greatscottgadgets.com>
# SPDX-License-Identifier: BSD-3-Clause
""" Simple SoC abstraction for LUNA examples."""
import os
import datetime
import logging
from amaranth import Elaboratable, Module
from amaranth_soc ... |
"""Postfix relay domains extension forms."""
from django.db.models.signals import pre_save, post_save
from modoboa.lib.form_utils import WizardStep
from modoboa.transport import forms as tr_forms, models as tr_models
class DisableSignals(object):
"""Context manager to disable signals."""
def __init__(self)... |
# parent class for battle options
class BattleOptions:
def __init__(self, name, fighter, targets):
self.name = name
self.fighter = fighter
self.targets = targets
def generate_round_actions(self):
return
|
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import django
from django.db import models
# Create your models here.
from django.db.models.base import Model
MANAGED = True
class ScrapModel(models.Model):
name = models.TextField()
source = models.CharField(max_length=100, null=False, defaul... |
from django import http
def test_view(request):
return http.HttpResponse()
|
import pandas as pd
from selenium import webdriver
driver = webdriver.Firefox(executable_path='C:\\Program Files\\Mozilla Firefox\\geckodriver-v0.29.0-win64\\geckodriver.exe')
import json
import time
team_links = list()
for year in range(2008,2021):
driver.get(f'https://moneyball.insidesport.co/teams.php?section={... |
import math
A=int(input("A= "))
B=int(input("B= "))
C=int(input("C= "))
Number_squares=int(int(A/C)*int(B/C))
Unused_part=int(int(A*B)-int(Number_squares*pow(C,2)))
print(Number_squares)
print(Unused_part) |
def result(num):
if num < 100:
return num
cnt = 99
for n in range(100, num+1):
digits = [int(digit) for digit in str(n)]
if (digits[0] - digits[1]) == (digits[1] - digits[2]):
cnt += 1
return cnt
N = int(input())
print(result(N))
|
import util
import network
from librosa.util import find_files
from librosa.core import load,stft
import os.path
import const as C
import numpy as np
from pesq import pesq
from time import time
start = time()
PATH_MIR = C.PATH_EVAL
audiolist = find_files(PATH_MIR, ext="wav")
total_len = 0
gnsdr = gsi... |
#! /usr/bin/env python
#import pdb
#pdb.set_trace()
import json
import urllib2
import argparse
import sys
username = ''
CLIENT_ID='f9387851ff8001b7abacd24a73fe1044'
def get_user_id(username, username_url):
"""
Get user id from username.
"""
try:
user_obj = urllib2.urlopen(username_url)
... |
# Plot Laser Runs
from ROOT import *
from plotDictionary import sipmDict, pindiodeDict, shuntSipms, shuntPindiodes
from ADCConverter import ADCConverter
import os
import mapping
from argparse import ArgumentParser
from array import array
def plotData(file1, file2, ch, type, runDir, plotDir, shunts):
# Batch Mode ... |
# References
# https://web.archive.org/web/20140115053733/http://cs.bath.ac.uk:80/brown/papers/ijcv2007.pdf
# https://github.com/linrl3/Image-Stitching-OpenCV/blob/master/Image_Stitching.py
# https://living-sun.com/pt/python/708914-how-do-you-compute-a-homography-given-two-poses-python-opencv-homography.html
# https://... |
# # -*- coding: utf-8 -*-
# Реализуйте программу, которая будет эмулировать работу с пространствами имен. Необходимо реализовать поддержку создания пространств имен и добавление в них переменных.
# В данной задаче у каждого пространства имен есть уникальный текстовый идентификатор – его имя.
# Вашей программе на вход... |
import os
from bs4 import BeautifulSoup
import datetime
from time import sleepimport datetime
from selenium import webdriver
email = input("Enter email: ")
password = input('Enter password: ')
month = input('Enter month: ')
day = input("Enter day: ")
interval = input('Enter time interval: ')
clicks = int(month) - date... |
from django.db import models
# Create your models here.
class face(models.Model):
name = models.CharField(max_length=100)
role = models.CharField(max_length=20)
email = models.EmailField()
number = models.IntegerField()
emp_id = models.TextField(auto_created=True)
class gender(models.Model):
... |
# I pledge my honor that I have abided by the Stevens Honor System
# Ashley Cannon
def main():
print("This program generates usernames from a file of names. \n")
infilename = input("What files are the names in: ")
outfilename = input("Place names in this file: ")
infile = open(infilename, "r")
outf... |
import rpy2
import rpy2.robjects.packages as rpackages
utils = rpackages.importr('utils')
utils.chooseCRANmirror(ind=1)
packnames = ('tuneR', 'seewave', 'fftw', 'caTools', 'randomForest', 'warbleR', 'mice', 'e1071', 'rpart', 'rpart-plot', 'xgboost', 'e1071')
from rpy2.robjects.vectors import StrVector
names_to_insta... |
# -*- coding: utf-8 -*-
# Copyright (C) 2017 by
# Randy Davila <davilar@uhd.edu>
# BSD license.
#
# Authors: Randy Davila <davilar@uhd.edu>
"""Function for reading in the conjecture data.
"""
import pickle
__all__ = ['get_conjectures']
def get_conjectures(target, family):
"""Returns current stored con... |
import os
import sys
import argparse
import math
import shutil
import time
import logging
from io import open
import numpy as np
import torch
from torch import nn
from torch.nn import init
from torch.nn.parameter import Parameter
import torch.nn.functional as F
import torch.optim as optim
from utils import get_xt,u... |
import socket
from threading import Thread
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server_ip = "127.0.0.1"
port = 4455
s.bind((server_ip,port))
print("Server Is Running On " + server_ip +" "+ str(port))
s.listen(1)
conn, addr = s.accept()
print("Connected")
print(addr)
class send(Thread)... |
import pytest
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions
from selenium.webdriver.support.wait import WebDriverWait
from pageObjects.checkOutPage import checkOutPage
from pageObjects.confirmPage import confirmPage
from pageObjects.homePage import HomePage
from... |
# Generated by Django 3.0.3 on 2020-03-16 16:11
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('main_app', '0013_membre_mail'),
]
operations = [
migrations.AlterField(
model_name='membre',
name='imageProfil',
... |
from gomill import sgf
# leftoffat: implementing navigation forwards and backward through the game.
class Goban:
"""Represents the go board. Handles stone placement, captures, etc"""
# enum values for the board array
EMPTY='.'
WHITE='w'
BLACK='b'
SCORE_BLACK='B'
SCORE_WHITE='W'
SCORE_... |
import re
import math
import collections
class LanguageModel:
def __init__(self, filenames):
self.text = ''
for filename in filenames:
self.text += LanguageModel.read_file(filename)
self.alphabets = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p... |
"""add three time filed
Revision ID: ed535bd21f09
Revises: 0a43e5b16392
Create Date: 2019-12-12 13:44:51.913300
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'ed535bd21f09'
down_revision = '0a43e5b16392'
branch_labels = None
depends_on = None
def upgrade():... |
from django_filters import rest_framework as filters
from mainapp.models import Event
class EventFilter(filters.FilterSet):
start_date = filters.DateTimeFromToRangeFilter(field_name='start_date')
class Meta:
model = Event
fields = ['start_date']
|
# Copyright 2019 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import annotations
import logging
from abc import ABCMeta
from dataclasses import dataclass
from enum import Enum
from typing import ClassVar, Iterable, Mapping, Optional,... |
import logging as log
from pprint import pformat
GOT_LOGGER = False
def get_logger():
"Helper function to get the logger"
global GOT_LOGGER
if GOT_LOGGER:
return log
GOT_LOGGER = True
logger = log.getLogger()
logger.setLevel(log.DEBUG)
ch = log.StreamHandler()
ch.setFormatter(l... |
import curses
import random
import time
def hud(win, score):
win.addstr(1, 1, "Score: " + str(score))
def update_player(win_col, k, player):
if k == ord("a") and player[2] >= 1:
player[2] -= 1
if k == ord("d") and player[2] <= win_col:
player[2] += 1
if k == ord("s"):
player[... |
import torch
from models.faster_rcnn import fasterrcnn_resnet_fpn
from models.centernet.ctdet import CenterNetDetect
def get_model_faster(name, num_classes, pretrained_path=None):
with_mask = name.find('mask') != -1
resnet_backbone = name[name.find('resnet'):name.find('resnet') + 9].strip('_') # 'resnet18'... |
import xlrd
import sys
import os
data = xlrd.open_workbook("FormatDatalibsvm.xlsx")
table = data.sheet_by_name('FormatDatalibsvm')
nrows = table.nrows
def init():
os.system('del learn.txt')
os.system('del predict.txt')
for j in xrange(0, nrows):
init()
learn = open('learn.txt' ,'w')
pre = open... |
import re
import sys
import requests
import pandas as pd
from bs4 import BeautifulSoup
# Create all required lists
ranks=[]
movie_names=[]
links=[]
Rating_Values=[]
Directors=[]
Writers=[]
Stars=[]
casts=[]
Genres=[]
Certificate=[]
Country=[]
Language=[]
Release_Date=[]
Filming_Locations=[]
Budget=[]
Opening_Weekend_U... |
def count_common_chars(s1, s2):
"""
Given two strings s1 and s2, counts
the number of characters they have in common,
i.e. these characters must be equal and
appear at the same location in the strings.
For example, 'abcd' and 'a123' have one character in common.
'ab' and 'ba' h... |
#coding:gb2312
#使用多个文件
def words_num(filename):
try:
with open(filename) as f:
contents = f.read()
except FileNotFoundError:
"""
msg = "Sorry,the file "+filename+" does not exit."
print(msg)
"""
pass #pass语句可以让python什么都不要做
else:
words = contents.split()
num_words = len(words)
print(filen... |
#!/usr/bin/env python
from __future__ import print_function
import tqdm
import argparse
import os
import numpy as np
import array
import fastjet as fj
from pyjetty.mputils import MPBase
from pyjetty.mputils import DataIO
from heppy.pythiautils import configuration as pyconf
import pythia8
import pythiafjext
import... |
from translate import translate
import getdata
import requests
import json
class video():
sockip = ['112.192.179.75:4258', '175.154.44.87:4258', '124.161.43.184:4258', '119.5.176.249:4258',
'175.155.50.78:4258', '112.194.178.181:4258', '124.161.212.88:4258', '119.5.179.10:4258',
'112.194.178... |
import tensorflow as tf
input_data = [1, 2, 3, 4, 5]
x = tf.placeholder(dtype=tf.float32)
y = x * 2
sess = tf.Session()
print(sess.run(y, feed_dict={x: input_data}))
a = tf.placeholder(dtype=tf.float32)
b = tf.placeholder(dtype=tf.float32)
z = tf.multiply(a, b)
print(sess.run(z, feed_dict={a: [[3, 2], [1, 2]], b: [... |
from django.conf.urls.defaults import patterns, include, url
urlpatterns = patterns('articles.views',
url(r'^(?P<slug>[-\w]+)/$', 'detail', name='articles_detail'),
)
|
import numpy as np
from ..algo import score_bump
def test_score_bump():
x = 0
vals = [0, 0.5, 0.75, 0.875]
for i, item in enumerate(vals):
assert x == vals[i]
x = score_bump(x)
|
#W.A.P to troll you
while(1>0):
a=raw_input("Enter your gender(m/f) : ")
if a!='m':
print "YOU ARE A WASTE"
if a=='m':
a="males??"
print "Did you know that almost half of the world's population are",a
print""
print "This means that you are not as unique as y... |
# %%
# import NLP libraries
import spacy
from gensim.corpora.dictionary import Dictionary
# %%
# import utility and data libraries
import os
import re
import pandas as pd
import numpy as np
# %%
# load spacy model
nlp = spacy.load("en_core_web_md")
# %%
# load state of the union texts
def load_texts(dir_path):
... |
import torch
import torchaudio
import librosa
import csv
import ast
import warnings
from multiprocessing import cpu_count
from pathlib import Path
from utils.logger import get_logger
from utils.ipa_encoder import EOS_ID
logger = get_logger('asr.train')
warnings.filterwarnings('ignore')
class SpeechDataset(torch.util... |
import logging
logger = logging.getLogger(__name__)
import django.forms as forms
from crispy_forms.helper import FormHelper
from crispy_forms.layout import (
Layout,
Fieldset,
Submit,
Div,
HTML,
Field,
Button
)
from models import Project, Category, Version, Entry
class ProjectForm(... |
try:
read_or_write = input("Haluatko lukea vai kirjoittaa vieraskirjaan? (l/k)\n")
if read_or_write == "l":
# avataan tiedosto
file_handle = open("guestbook.txt", "r", encoding='utf-8')
# haetaan tiedoston sisältö
content = file_handle.read()
# tehdään lista, erotetaan ... |
import numpy as np
import matplotlib.pyplot as plt
class BPNN:
def __init__(self, nn_shape=[2, 4, 1]):
self.W = [] # 权重
self.B = [] # 阈值
... |
from pandas import *
from ggplot import *
import pprint
import datetime
import itertools
import operator
import brewer2mpl
import ggplot as gg
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import pylab
import scipy.stats
import statsmodels.api as sm
#%matplotlib inline
#ggp... |
class Solution:
def rob(self, nums: List[int]) -> int:
"""
https://leetcode.com/problems/house-robber/
"""
dp = [0 for i in range(len(nums))]
dp[0] = nums[0]
for i in range(1, len(nums)):
dp[i] = max(dp[i-1], dp[i-2]+nums[i])
return dp[-1] |
# Generated by Django 2.0.5 on 2018-06-04 08:14
import django.core.validators
from django.db import migrations, models
import django.db.models.deletion
import re
class Migration(migrations.Migration):
dependencies = [
('calculation', '0012_auto_20180604_0807'),
]
operations = [
migratio... |
from django.contrib import admin
from TestModel.models import myDevice, Task
# Register your models here.
admin.site.site_header = 'WELLCOME'
admin.site.site_title = 'WELLCOME'
class devicesDisplay(admin.ModelAdmin):
list_display = ('host_name', 'tag') # list
class tasksDisplay(admin.ModelAdmin):
list_displa... |
__author__ = 'luca'
from PyQt4.QtCore import *
from PyQt4.QtGui import QPixmap
class QAnalyzedFramesTimelineListModel(QAbstractListModel):
def __init__(self, video, discared_frames):
self.video = video
self._discared_frames = discared_frames
self.pixmaps = {}
super(QAnalyzedFramesT... |
num_set = {1, 2, 3, 4, 5}
print(1 in num_set)
print(8 in num_set) |
import random
def read_words(filename='20k.txt'):
''' Read file of most popular english words'''
with open(filename) as words_file:
words = words_file.read()
words = [word for word in words.split('\n') if
len(word) > 5]
return words
def choose_random_word(words):
... |
def get_next(pattern):
'''
KMP算法的next数组的求法
'''
next = []
m, k, j = len(pattern), -1, 0
next[0] = -1
while j < m-1:
if k == -1 or pattern[j] == pattern[k]:
k += 1
j += 1
next[j] = k
else:
k = next[k]
|
from django.db import models
from django.urls import path
class TableField(models.Model):
model_id = models.IntegerField(primary_key=True, verbose_name='Порядковый номер')
name = models.CharField(max_length=64, verbose_name='Имя')
width = models.IntegerField(verbose_name='Ширина')
class CsvPath(models.M... |
from django.urls import path
from .views import *
urlpatterns = [
path('messages/', list_of_messages, name='list_of_messages'),
path('messages/update/<int:pk>/', update_message, name='update_message'),
path('messages/updated_messages/', updated_messages, name='updated_messages'),
path('cancel_update_me... |
from torch.utils.data import Dataset, DataLoader
import numpy as np
import json
from transformers import BertTokenizer
class myDataset(Dataset):
# x: 输入的句子序列 y：情感分类结果 mask：mask矩阵
def __init__(self, x, y, mask):
super(myDataset, self).__init__()
self.sample_num = x.shape[0]
self.x = x
... |
def main():
print("This is the ops.py file.")
list = []
list = [1,2,3,4,5,6,7,8,9,10]
print("list = {}".format(list))
print("list[0] = {}".format(list[0]))
print("list[1] = {}".format(list[1]))
print("list[9] = {}".format(list[9]))
print("list[0:5] = {}".format(list[0:5]))
#list =... |
'''
Created on 1 abr. 2020
REVISTAS
@author: goyo
'''
from PyQt5 import QtCore, QtGui, QtWidgets
from ventanas import ventana_list_revistas, ventana_listado_revistas, ventana_menu_revistas, ventana_principal, ventana_registro_revistas , ventana_editar_revistas
from modulo.clases i... |
from django.contrib import messages
from django.contrib.auth import logout, authenticate, login
from django.contrib.auth.forms import UserCreationForm
from django.shortcuts import redirect, render
from django.urls import reverse
from django.views.generic import ListView, CreateView, UpdateView, DeleteView
from notes.f... |
# Definition for a binary tree node.
class TreeNode(object):
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution(object):
def findTarget(self, root, k):
"""
:type root: TreeNode
:type k: int
:rtype: bool
"""
... |
#!/home/boyuanli/tools/anaconda2/envs/python35/bin/python
# -*- coding: utf-8 -*-
"""
Created on Fri Jan 25 16:34:27 2019
@author: lbybyl
this file is used to find most max 50 bp window; so the stastic to find
sig promoter and stastic the paused sig for the 50bp windows, you should
used R, becaused R more convenie... |
# -*- coding: utf-8 -*-
from .plugin import SauceLabs
import os, ssl
if (not os.environ.get('PYTHONHTTPSVERIFY', '') and getattr(ssl, '_create_unverified_context', None)):
ssl._create_default_https_context = ssl._create_unverified_context
__all__ = ["SauceLabs"] |
#*_* coding=utf8 *_*
#!/usr/bin/env python
backend_list = [("9pk.118sh.com", "113.105.175.243")]
BACKEND_DICT = dict()
AccessList = map(lambda x:x[0], backend_list)
def get_backend(host):
return BACKEND_DICT.get(host)
def init():
for (host, ip) in backend_list:
BACKEND_DICT.setdefault(host, ip)
in... |
#!/usr/bin/env python3
# -*- encoding: utf-8 -*-
from pwn import *
context.log_level = 'debug'
elf = ELF('callme32')
callme_one = elf.symbols['callme_one']
callme_two = elf.symbols['callme_two']
callme_three = elf.symbols['callme_three']
# ROPGadget --binary callme32
pop3ret = 0x080488a9 # pop esi ; pop edi ; pop e... |
# import time
# user_data = {}
# for i in range(10000):
# activity = input("Login or Sign up?\n>>").lower()
# if activity == 'login':
# email = input("Enter your email\n>>")
# password = input("Enter your password\n>>")
# time.sleep(2)
# if email in user_data.keys():
# ... |
# -*- coding: utf-8 -*-
#############################################################################
# Copyright Vlad Popovici <popovici@bioxlab.org>
#
# 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 ... |
#!/usr/bin/python3
# syntax.py by Bill Weinman [http://bw.org/]
# This is an exercise file from Python 3 Essential Training on lynda.com
# Copyright 2010 The BearHeart Group, LLC
def main():
print("This is the syntax.py file.")
#Gives the ability to call the fuction before their defined
#Basicly it calls main at ... |
import itertools
from tqdm import tqdm
def play(num_players, last_marble):
players = itertools.cycle(range(num_players))
scores = [0 for _ in range(num_players)]
current_player = next(players)
marbles = [0]
current_index = 0
for marble in tqdm(range(1, last_marble + 1)):
current_play... |
import numpy as np
import pandas as pd
from matplotlib.ticker import MultipleLocator
from mpl_toolkits.mplot3d import Axes3D
from sklearn.linear_model import Lasso
from sklearn.preprocessing import PolynomialFeatures
import matplotlib.pyplot as plt
from sklearn.linear_model import Ridge
df = pd.read_csv("week3.csv")
p... |
"""
Сложность:
1. Худший случай: O(n^2) - когда нужно расставить элементы по возрастанию,
а они расположены по убыванию. O(n^2) даёт итерация по 2 циклам: внешний
цикл (сложность которого равна O(n)) мы умножаем на внутренний (он тоже
равен O(n)). O(n * n) = O(n^2)
2. Лучший случай: O(n) - когда все элементы р... |
"""
Dox Markdown publishing for ACE.
"""
__help__ = """
Dox is a markdown oriented command line publishing tool for ACE.
After installation, dox requires the following initialization:
ace dox init --content-type=<content-type> --body-field=<body-field> --key-fie... |
import sys
import bluetooth
uuid = "1e0ca4ea-299d-4335-93eb-27fcfe7fa848"
service_matches = bluetooth.find_service(name="aaa", uuid=uuid)
if len(service_matches) == 0:
print "couldn't find the aaa Service"
sys.exit(0)
first_match = service_matches[0]
port = first_match["port"]
name = first_match["name"]
host... |
from django.db import models
class Blacklist(models.Model):
TYPE_CHOICES = (
(0, 'Bounce'),
(1, 'Complaints'),
)
email = models.EmailField(unique=True)
type = models.PositiveSmallIntegerField(default=0, choices=TYPE_CHOICES)
created_at = models.DateTimeField(auto_now_add=True)
... |
from __future__ import absolute_import, unicode_literals
from common_services.clients.base import CommonServicesBaseClient
from common_services.models.email import RenderedEmail
class EmailClient(CommonServicesBaseClient):
VERSION = 'v1'
def __init__(self):
# type: () -> None
super(EmailClie... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Date : 2016-11-24 14:22:59
# @Author : Arms (526923945@qq.com)
# @Link : https://armszhou.github.io
# @Version : $Id$
import sys
Zero = [" *** ",
" * * ",
"* *",
"* *",
"* *",
" * * ",
" *** "]... |
test_case = int(input())
while test_case:
n, m = map(int, input().split())
print(min(2, n - 1) * m)
test_case -= 1
|
class RandomizedCollection:
def __init__(self):
"""
Initialize your data structure here.
"""
self.ms = []
def insert(self, val: int) -> bool:
"""
Inserts a value to the collection. Returns true if the collection did not already contain the specified elem... |
# CD to DAPPER folder
from IPython import get_ipython
IP = get_ipython()
if IP.magic("pwd").endswith('tutorials'):
IP.magic("cd ..")
else:
assert IP.magic("pwd").endswith("DAPPER")
# Load DAPPER
from common import *
# Load answers
from tutorials.resources.answers import answers, show_answer
# Load widgets
fr... |
#solve for x
def solve_equation(equation):
x, add, num1, equal, num2 = equation.split()
num1, num2 = int(num1), int(num2)
return "x =" + str(num2 - num1)
print(solve_equation("x + 4 = 9"))
|
import pytest
if __name__ == "__main__":
pytest.run([__file__])
|
#coding:utf-8
def script(s, player=None):
from NaoQuest.objective import Objective
from NaoSensor.plant import Plant
import NaoCreator.SGBDDialogue.creer as bd
import NaoCreator.Tool.speech_move as sm
if not player:
print("Error in execution of p... |
import time
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
class Ckeditor:
def __init__(self, driver: webdriver, wait: WebDriverWait):
self.browser = driver
self.wait = wait
def post(self, css_seletor: str, message: str = 'Enviado usando o Selenium'):
... |
alphalist = [letter for letter in 'abcdefghijklmnopqrstuvwxyz']
tonum = dict(zip(alphalist, range(0, 26)))
toalpha = dict(zip(range(0, 26), alphalist))
def encrypt(plaintext, key):
ciphertext = ''
cipherkey = ''
plaintext = ''.join(plaintext.lower().split())
for i in range(len(plaintext)):
cip... |
# Auto generated configuration file
# using:
# Revision: 1.381.2.13
# Source: /local/reps/CMSSW/CMSSW/Configuration/PyReleaseValidation/python/ConfigBuilder.py,v
# with command line options: data -s RAW2DIGI,L1Reco,RECO --eventcontent RECO --conditions auto:com10 -n 500 --no_exec --data --scenario pp --process RERECO
i... |
print(id("a"))
x = "a"
print(id(x))
#basically eveything is assigned to a
# specific part of memory, which will always change from computer to computer
# but doing print(id("")) will point to the memory identiifed on local computer
|
if __name__ == '__main__':
print("Banknotes problem:\n")
banknotes_romania = [1, 5, 10, 50, 100, 200, 500]
print(banknotes_romania, '\n')
from random import randint
price = randint(5, 1000)
print(f"The price is: {price}\n")
from collections import OrderedDict
solution... |
import numpy as np
import matplotlib.pyplot as plt
class Bandit:
def __init__(self, true_mean):
self.true_mean = true_mean
self.mean = 0
self.counter = 0
def pull_handle(self):
return np.random.rand() + self.id
|
import array
import numpy as np
import matplotlib.pyplot as plt
import rootpy.ROOT as ROOT
from peaks import peaks
p=peaks("total.root")
speMean=[]
speSigma=[]
mpeSpeMean=[]
spe_mpeRatio=[]
mpeMean=[]
mpeSigma=[]
PE=[]
mean_sig2=[]
for sn in p.snDict['spe']:
meanS=p.fitDict["spe","mean",sn]
sigS=p.fitDict["spe... |
#!/usr/bin/python3
#minimalist python pe library
import sys
import argparse
import struct
import PEHeader
class Decoder:
def __init__(self,_filename="",_fileperms="rb"):
self._header = PEHeader.PEHeader()
self.fields = self._header.header_fields
self.fmt_dict = self._header.header_fmt_dict
self.fmt = "".j... |
# Copyright 2018 Cable Television Laboratories, Inc.
#
# 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... |
# -*- coding: utf-8 -*-
"""
utils.py
Utility functions using to analysis and evaluate solutions
Function list:
timepast
memoize
clear_cython_cache
find_solution
generate_catalogue_draft
find_keyword_in_solutions
@author: Jasper Wu
"""
import os
import functools
import shutil
import time
impo... |
import io
s = io.StringIO()
s.write(u'Hello World\n')
print('This is a test', file=s)
print s.getvalue()
s = io.StringIO(u'Hello World\n')
print s.read(4)
print s.read()
s = io.BytesIO()
s.write(b'binary data')
print s.getvalue() |
import tensorflow as tf
tf.set_random_seed(777)
w = tf.Variable(tf.random_normal([1]), name='weight')
b = tf.Variable(tf.random_normal([1]), name='bias')
x = tf.placeholder(tf.float32, shape=[None])
y = tf.placeholder(tf.float32, shape=[None])
hypothesis = x * w + b
#cost loss function
cost = tf.reduce_mean(tf.squa... |
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