text stringlengths 38 1.54M |
|---|
'''
Write a python function, encrypt_sentence() which accepts a message and encrypts it based on rules given below and returns the encrypted message.
Words at odd position -> Reverse It
Words at even position -> Rearrange the characters so that all consonants appear before the vowels and their order should not change
... |
# class Air:
# __brand = ''
# __price = 0
# __time = 0
#
# def setBrand(self, brand):
# self.__brand = brand
#
# def getBrand(self):
# return self.__brand
#
# def setPrice(self, price):
# if price <= 0:
# print('价格不能为零为负！')
# else:
# self.... |
import json
import pytest
from fakeredis import FakeRedis
from petisco import Command
from petisco.extra.redis import RedisCommandBus
from tests.modules.extra.rabbitmq.mother.command_persist_user_mother import (
CommandPersistUserMother,
)
from tests.modules.extra.redis.mother.redis_command_bus_mother import (
... |
#! /usr/bin/python
import os
import sys
import re
import l1cmnd
import fkocmnd
(IFKOdir,fko) = fkocmnd.GetFKOinfo()
(ATLdir, ARCH) = fkocmnd.FindAtlas(IFKOdir)
print ARCH
print "ATLdir='%s', ARCH='%s'" % (ATLdir, ARCH)
# [time,mflop] = l1cmnd.l1time(ATLdir, ARCH, 'd', 'dot', 80000, 'dot1_x1y1.c')
# print "time=%f, ... |
#소인수 분해
print("소인수 분해 > 숫자 입력")
x = int(input("?"))
d = 2
while d <= x:
if x % d == 0:
print(d)
x = x / d
else:
d = d + 1
#주사위
import random
print("주사위 게임")
total = 1000000
ev = 0
for i in range(total):
if random.randint(1, 6) == 2:
ev = ev + 1
print(ev / total * 100, "... |
# -*- coding: utf-8 -*-
"""
Created on Fri Sep 15 09:01:52 2017
@author: Santosh Bag
reads NSE bhavcopy file in zip format and puts into database
format is "cmDDMMMYYYYbhav.csv.zip"
"""
import sys,os
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
import datetime #import date, timedelta
import pandas a... |
"""
RNN for Time series prediction:
It did not perform as autoregressive linear model
This is because RNN has too many parameters and hence flexibility
Linear regression:
* input shape: 2D array: NxT, output-shape: NxK
* i = Input(shape=(T,)) # input layer of shape T
* model.predict(x.reshape(1, -1))[0, 0... |
#Ingresar los datos del sueldo mensual, codigo de estado civil (1soltero-2casado con hijos-3casado sin h) y el nombnre del empleado.
# Se debe descontar el 3% de obra social y el 11% de aportes jubilatorios y se debe incrementar $500 si es casado, $ 900 con hijos.
# ENTRADAS: n(nombre) - c(codigo estado civil) - s(sue... |
from pandas import DataFrame
def pd_index(df: DataFrame, name: str):
return df.columns.get_loc(name)
|
"""
course
Class definitions for Course and Instructor.
"""
import ccutils
class Instructor:
"""
Instructor class. For available fields see __init__
"""
def __init__(self, fini, lname, andrew):
# string initial letter of first name, capitalized e.g. "J"
self.first_initial = fini
... |
from piepline.monitoring.monitors import AbstractMonitor
from piepline import events_container
from piepline.train import Trainer
from piepline.train_config.metrics_processor import MetricsProcessor
__all__ = ['MonitorHub']
class MonitorHub:
"""
Aggregator of monitors. This class collect monitors and provide... |
# -*- coding: utf-8 -*-
## Copyright 2012 Peter Halliday
##
## 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 requir... |
import inspect
import types
from typing import cast
from tensorflow.keras import Input, Model, regularizers
from tensorflow.keras.layers import Conv2D, MaxPooling2D, Dropout, Flatten, Dense, BatchNormalization, \
GlobalMaxPooling2D
def SingleOutputCNN(
input_shape,
output_shape,
cnns_per_... |
from django.shortcuts import render,redirect
from django.contrib.auth.forms import UserCreationForm
from .form import *
#from . import loaddata
from django.contrib.auth.decorators import login_required
from django.contrib.auth import get_user,authenticate,login
from django.contrib.auth.models import User
from django.co... |
import torch
import torch.nn as nn
from .styled_conv2d import *
from .multichannel_image import *
from .modulated_conv2d import *
from .idwt_upsample import *
class MobileSynthesisBlock(nn.Module):
def __init__(
self,
channels_in,
channels_out,
style_dim,
... |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
__author__ = 'MFC'
__time__ = '2020-04-27 09:50'
"""
leetcode探索：在 FIFO 数据结构中，将首先处理添加到队列中的第一个元素。
队列是典型的 FIFO 数据结构。
插入（insert）操作也称作入队（enqueue），新元素始终被添加在队列的末尾。
删除（delete）操作也被称为出队（dequeue)。 你只能移除第一个元素。
同栈一样，队列也可以用顺序表或者链表实现。
Queue() 创建一个空的队列
enqueue(item) 往队列中添加一个item元素
dequ... |
from math import *
from numpy import *
from matplotlib import *
from pylab import *
import MDAnalysis
import numpy as np
import numpy.linalg
import matplotlib.pyplot as plt
from MDAnalysis.analysis.rms import RMSF
from MDAnalysis.analysis import align
###############################################
# USAGE notes
######... |
#!/usr/bin/env python2.7
# -*- coding: utf-8 -*-
import multiprocessing
import sys
import rumps
rumps.debug_mode(True)
from voiceplay import __title__ as vp_title
from voiceplay.cli.argparser.argparser import MyArgumentParser, Help
from voiceplay.logger import logger
from voiceplay.utils.updatecheck import check_up... |
from invoke import task, run
from subprocess import call
@task
def build(c):
call("docker-compose down", shell=True)
call("docker-compose build", shell=True)
call("docker-compose run server python3 manage.py db_setup", shell=True)
call("docker-compose up -d", shell=True)
|
import position
pospx = position.getCurrentPositionPx(5, 200)
heading = position.getHeading(5, 200, 1)
angle = position.getTurnAngle(pospx, 1)
print "position: ",pospx
print "heading: ",heading
print "angle: ",angle
position.draw(pospx, 1)
|
'''
Created on Aug 20, 2012
@author: Naved
'''
from django.contrib import admin
class BaseModelMinAdmin(admin.ModelAdmin):
list_filter = ['is_active', 'added', ]
list_display = ['is_active', 'added', ]
class BaseModelAdmin(BaseModelMinAdmin):
list_display = ['name', 'page_header', 'pa... |
import pygame
import itertools
import random
import tracer
class Board:
def __init__(self, cols, rows, size):
self._cols = cols
self._rows = rows
self._size = size
self._surface = pygame.Surface([self.get_width(), self.get_height()])
self._board = [[(0, 0, 0) for i in rang... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
'''
【程序3】
题目：一个整数，它加上100后是一个完全平方数，再加上168又是一个完全平方数，请问该数是多少？
1.程序分析：在10万以内判断，先将该数加上100后再开方，再将该数加上268后再开方，如果开方后
的结果满足如下条件，即是结果。
'''
import math
for i in range(0,100000):
x = int(math.sqrt(i+100))
y = int(math.sqrt(i+268))
if(x * x == i+100) and (y * y... |
import json
import multiprocessing as mp
import traceback
import time
from dp.backend.base import get_kafka_client, get_kafka_messages
from dp.config import TEST_CONFIG
from dp.env import KAFKA_TOPIC_INGEST
from dp import log
from dp.backend.base import get_kafka_messages_multi_topic
def test_ingestion_async(batch_... |
import spacy
import numpy as np
from sklearn.neural_network import MLPClassifier
import pickle
from sklearn.metrics import confusion_matrix
import os, sys
class DataProc():
'''
Class for handling data processing, by extracting features and splitting into training and test data.
'''
def __init__(sel... |
import lib
import theano
import numpy as np
def Embedding(name, n_symbols, output_dim, inputs):
vectors = lib.param(
name,
np.random.randn(
n_symbols,
output_dim
).astype(theano.config.floatX)
)
output_shape = [
inputs.shape[i]
for i in xra... |
# Adapted from https://stanford.edu/~shervine/blog/keras-how-to-generate-data-on-the-fly
import os
os.environ["CUDA_VISIBLE_DEVICES"] = "1"
import numpy as np
import keras
from utils import *
import random
import pickle
from scipy import ndimage
image_size = [160, 160, 128]
spacing = [1.2, 1.2, 1.5]
organs_names = [... |
import re
from tensorflow.keras.datasets import imdb
from tensorflow.keras.preprocessing.sequence import pad_sequences
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, GRU, Embedding
from tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint
from tensorflow.keras.mode... |
import matplotlib.pyplot as plt
import random
balls = 100 # number of balls
p = 0.5
def distribution(p):
choice = random.uniform(0, 1)
if choice < p:
choice = 1
else:
choice = 0
return choice
def galton(balls, p):
result = []
for i in range(0, balls):
course = 0
... |
import math
import argparse
import string
import os
from multiprocessing import Process
global wordMap
wordMap = {}
def main():
#Parsing the command line arguments to run the wordCount
parser = argparse.ArgumentParser(description = "Word Frequency")
parser.add_argument('-o', '--outputFile', required=True)
parser... |
class Node:
def __init__(self, data):
self.left = None
self.right = None
self.data = data
def insert(root, node):
if root == None:
root = node
elif root.data > node.data:
if root.left == None:
root.left = node
else:
insert(root.left,... |
import json
from urllib.request import urlopen
import re
def saveData(json_url):
json_object = urlopen(json_url) #gets the json object from the http request
data = json.loads(json_object.read())
#creates a local file where we can write the information from the json object
file = open("local.txt","... |
from django.db import models
class GraphicValue(models.Model):
min = models.CharField(null=True, blank=True, verbose_name="Minimum Değer", max_length=250)
max = models.CharField(null=True, blank=True, verbose_name="Maksimum Değer", max_length=250)
middle = models.CharField(null=True, blank=True, verbose_n... |
"""nnlib activation layers
"""
import numpy as np
from .core import Layer
from ..activations import get_activation
from ..activations import ActivationFunction
from ..initializers import get_initializer
from ..initializers import Initializer
class _Activation(Layer):
"""Activation layer abstract base class - al... |
# -*- coding: utf-8 -*-
"""
Created on Mon Jun 23 10:46:38 2014
@author: MPsaris
Script using salinity and conductivity to classify estuary stations
"""
import arcpy
#import numpy
import pandas as pd
from arcpy import env
import os.path
import subprocess
from IR2012_Functions import renameField
arcpy.env.overwriteO... |
"""
This file implements the slowinput function.
"""
from src.core.utils.slowprint import slowprint
def slowinput(text: str, # pylint: disable=R0913
interval: float = 0.03,
end: str = "",
end_interval: float = 0,
fast: bool = False,
char_count_in... |
class Node:
def __init__(self, data):
self.data = data
self.left = None
self.right = None
class Tree:
def __init__(self, root):
self.root = Node(root)
def Successor(self, root, key):
node = root
large = None
small = None
while node:
if node.data >= key:
node = node.left
else:
... |
from flask import Blueprint, request, jsonify, g
from flask.ext.login import login_required, current_user
from .. import db
from ..models.device import Device
from . import csrf_protect, get_json_params, APIException
bp = Blueprint("api_devices", __name__)
@bp.route('/', methods=['GET'])
@login_required
def index()... |
#!/usr/bin/env python
import time
from impacket.examples import logger
from impacket import smb
class lotsSMB(smb.SMB):
def loop_write_andx(self,tid,fid,data, offset = 0, wait_answer=1):
pkt = smb.NewSMBPacket()
pkt['Flags1'] = 0x18
pkt['Flags2'] = 0
pkt['Tid'] = tid
... |
# Copyright 2021, The TensorFlow Federated Authors.
#
# 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 o... |
class Solution:
def replaceDigits(self, s: str) -> str:
output = ''
for i in range(len(s)):
if i % 2 != 0:
output = output + (chr(ord(s[i-1]) + int(s[i])))
continue
output += s[i]
return output
|
# app.py
"""
Main server file that handles all client requests
including socket calls and communication with
postgres sql to store or fetch data like
message and connected users in the public chat
"""
import os
from os.path import join, dirname
from datetime import datetime
from dotenv import load_doten... |
f_no = int(input("Enter the first number: "))
s_no = int(input("Enter the second number: "))
sum = f_no + s_no
if sum in range(15, 20):
print("sum = 20")
else:
print(sum)
|
import math
import len_vec_c
import time
import numpy as np
import len_vec_swig
def lenv(vec):
'''
input: a list, like [11, 1, 1, 0]
'''
return math.sqrt(sum([i*i for i in range(vec)]))
def lenv3(vec):
return np.sqrt(np.array([i*i for i in range(vec)]).sum())
if __name__ == '__main__':
# vec = 1000;
# start1... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#import urllib.request
import re
plugin_version = '0.1'
plugin_name = 'Adobe Flash'
#
#url = 'http://www.adobe.com/de/products/flashplayer/distribution3.html'
#site = urllib.request.urlopen(url)
def hello():
print('Loaded plugin: ' + plugin_name + ' ' + plugin_versio... |
from django.urls import path
from .views import PostsView
app_name='quiz'
urlpatterns = [
path('posts/', PostsView.as_view(), name='posts_view'),
] |
"""
Processando as informações da empresa.
Utilize a linguagem de programação de sua preferência (e quaisquer
bibliotecas que sejam necessárias) e escreva um programa que leia o nome
de um arquivo JSON como parâmetro – que seguirá os mesmos moldes do
arquivo funcionarios.json listado acima – e imprima as informações
s... |
from django.shortcuts import render_to_response
from django.template import RequestContext
from django.contrib.auth.decorators import login_required
from django.core.paginator import Paginator, InvalidPage, EmptyPage
from django.contrib.auth.models import Group, User
from django.http import HttpResponse, HttpResponseRe... |
#! python
#Thanks to https://docs.python.org/2/library/unittest.html
import unittest
"""
I don't fully know how the __init__.py files work, so it looks like I'm
just going to do this in a not-very-optimal way for now, but at least it's
better than requiring an absolute path and making the code completely ... |
# This programs cretes basic calculator using Python Class (OOP)
import json
class Calculator():
def __init__(self):
self.num1 = 0
self.num2 = 0
self.resu = 0
def getonenum(self):
self.num1 = int(input('Enter the Number: '))
def gettwonum(self):
self.num1 = int(i... |
class Solution(object):
def findLadders(self, beginWord, endWord, wordList):
"""
:type beginWord: str
:type endWord: str
:type wordList: List[str]
:rtype: List[List[str]]
"""
word_dict = set(wordList)
if endWord not in word_dict:
return []
... |
from LCGenerator import random
from Strategies.Interface import FieldStrategy
from Strategies.Implementation import CurrencyPairStrategy, DateStrategy, VolumeStrategy
class StatusStrategy(FieldStrategy):
def __init__(self, population: list, date_strategy: DateStrategy,
currency_strategy: Currency... |
from mpl_toolkits.mplot3d import Axes3D
from matplotlib.patches import FancyArrowPatch
from mpl_toolkits.mplot3d import proj3d
import matplotlib
matplotlib.use ('TKAgg', warn=False, force=True)
import matplotlib.pyplot as plt
import numpy as np
import sys
class Arrow3D(FancyArrowPatch):
def __init__(self, xs, ys, ... |
from common.base_driver import BaseDriver
import pytest
#定义公共的fixture
@pytest.fixture
def common_driver():
driver = BaseDriver().base_driver()
yield driver
driver.close_app()
driver.quit()
#定义含有toast弹框的fixture
@pytest.fixture
def common_toast_driver():
driver = BaseDriver().base_driver(automati... |
from ScenarioHelper import *
def main():
CreateScenaFile(
"c1050.bin", # FileName
"c1050", # MapName
"c1050", # Location
0x0001, # MapIndex
"ed7150",
0x00002000, # Flags
... |
import threading, time, datetime, json
from concurrent.futures.thread import ThreadPoolExecutor
import traceback
import tornado.ioloop
import tornado.web
import tornado.websocket
import tornado.template
import tornado.httpserver
from tornado import gen
import ssl,os
import OmniDB_app.include.Spartacus as Spartacus
im... |
"""
App Configuration for the API Module
"""
from django.apps import AppConfig
class ApiConfig(AppConfig):
"""
App Config for Api Module
"""
name = 'api'
|
import socket
import sys
import os
import getpass
import threading
host = "127.0.0.1"
port = 5012
username=""
user_pass=""
USER_FOLDER_PATH = "/Users/radhikamanivannan/Desktop/userfolders/"
TIMER_TIME_SEC = 20.0
THREAD_RUN = True
def checkupdates():
if THREAD_RUN == True:
s = socket.socket()
s.connect((host,por... |
#!/usr/bin/python
import numpy as np
names = np.loadtxt("student_names.csv", delimiter=',', dtype=str)
def create_grade_file(template_filename, name):
lastname = name.split()[-1].lower()
grade_filename = "grade_%s.txt" % lastname
with open(template_filename, 'r') as template, open(grade_filename, 'w') as... |
from flask import Blueprint, request, current_app, render_template, redirect, url_for, flash
from flask_login import login_user, logout_user, login_required, current_user
from werkzeug.utils import secure_filename
from tblib.handler import json_response, ResponseCode
from ..forms import OrderForm
from ..services impo... |
# coding: utf-8
__author__ = 'ZFTurbo: https://kaggle.com/zfturbo'
from a1_common_functions import *
import requests
import zipfile
def update_current_data():
store_file1 = INPUT_PATH + 'cases_country_latest.csv'
store_file2 = INPUT_PATH + 'cases_all_latest.csv'
store_file3 = INPUT_PATH + 'cases_state_l... |
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.forms import UserCreationForm
from django.shortcuts import render, redirect
from django.contrib import messages
# Create your views here.
from .forms import LoginForm
from django.contrib import messages
def login_view(request):
f... |
from django.db import models
from django.contrib.auth.models import User
from django.utils.translation import gettext as _
from userena.models import UserenaBaseProfile
class Author(UserenaBaseProfile):
user = models.OneToOneField(
User,
unique=True,
verbose_name=_('user'),
related... |
__author__ = 'Varun Tyagi'
import androidlogutils
import os
import shutil
log_file_location = '/mnt/sdcard/com.shoretel.RADialer/files/'
class SMCLog:
def __init__(self):
self.andro = androidlogutils.adbHelper()
# pass
def start(self, dut, tcid, log_dir):
self.andro.removeFiles(dut['... |
from django.contrib import admin
# Register your models here.
from .models import GallerySection, SectionAlbum, AlbumPhoto
class SectionAlbumModelAdmin(admin.ModelAdmin):
list_display = ["album_title", "album_section", "updated", "timestamp"]
# list_display_links = ["updated"]
list_editable = ["album_ti... |
# -*- coding: utf-8 -*-
from datetime import datetime
from flask import Flask, render_template, request, Response, json, jsonify, session
from flask_migrate import MigrateCommand, Migrate
from flask_script import Manager, Server
from flask_sqlalchemy import SQLAlchemy
from ext import init
from mydb.db import... |
lista = list()
print('Digite 5 números inteiros.')
lista.append(int(input('Digite um valor inteiro: ')))
maior = lista[0]
print('Valor adicionado na última posição do lista.')
for count in range(1, 5):
lista.append(int(input('Digite um valor inteiro: ')))
for c in range(0, count):
if lista... |
## For å komma i gang med noko.
import time
minTekst = ("Hei verda")
print(minTekst)
time.sleep(2)
print("Der sov eg 2 min")
time.sleep(2)
print("The End")
|
#!/usr/bin/env python3
""" Remove annotations from a document """
import sys
import fitz
def main(file_path: str) -> None:
doc = fitz.open(file_path)
for page in doc:
annot = page.first_annot
while annot:
annot = page.delete_annot(annot)
doc.save(file_path, encryption=fitz.P... |
import os, sys
binning = "Pt"
#binning = "inclusive"
if binning == "Pt":
bins = ["0to70", "70to100", "100to200", "200to400", "400to600", "600toInf"]
elif binning == "inclusive":
bins = [""]
for b in bins:
if b == "":
bstring = ""
else:
bstring = binning+"-"+b+"_"
fDir = "DY1jToLL_... |
# update_users
# Implement the following function:
# update_users : Takes in an old first name, an old last name, a new first name, and a new last name. Updates the users.csv file so that
# any user whose first and last names match the old first and last names are updated to the new first and last names. The functio... |
input = "Hezam Kafe Mohammed"
def reverse(string):
string = list(string)
lenOfString = len(string) - 1
counter = 0
while counter < lenOfString:
tempLetter = string[lenOfString]
string[lenOfString] = string[counter]
string[counter] = tempLetter
counter +=1
lenOfSt... |
# Database Assignment 02
# Author(s): John Shapiro
import csv
import pymysql
# set up the credentials
server = 'localhost'
database = 'ippstest'
user = 'ipps'
password = '024680'
# connect to the database
conn = pymysql.connect(host = server, user = user, password = password, db = database)
if (conn):
print('Co... |
import io
import jwt
# JWT claims
# Modify the aud clain to much the DNS name of your gateway, or remove it
payload = {
'aud': 'webthings.controlthings.gr'
}
# Read the generated private key
with open('privkey.pem', mode='rb') as file:
private_key = file.read()
#J WT generation
token = jwt.encode(payload, p... |
"""
SmartRegisterItemInfo操作用モジュール
"""
import os
from aws.dynamodb.base import DynamoDB
class SmartRegisterItemInfo(DynamoDB):
"""SmartRegisterItemInfo"""
__slots__ = ['_table']
def __init__(self):
"""初期化メソッド"""
table_name = os.environ.get("PAY_PAY_ITEM_INFO_DB")
super().__init__... |
# -*- coding: utf-8 -*-
from dart_fss.api import filings, finance, info, shareholder, market
__all__ = ['filings', 'finance', 'info', 'shareholder', 'market']
|
from django import forms
class SearchForm(forms.Form):
q = forms.CharField(label = 'Pretraga', max_length = 256, required = False, widget = forms.TextInput(attrs = {'size' : 100}))
KATEGORIJE = (
(1, 'parkovi'),
(2, 'spomenici'),
(3, 'kafići/kafane'),
(4, 'muzeji'),
(5, 'pozorišta'),
(6, 'bioskopi'),
... |
import pygame
import sys
class Point():
def __init__(self,x,y):
self.x=x
self.y=y
self.pos=(x,y)
self.lie=False
self.neighbours=0
def change_state(self):
if self.lie == True:
self.lie == False
else:
self.lie == True
def get_neig... |
from SimpleCV import Image
import cv2
__author = "mimadrid"
#img = Image('edi uveitis previa 11.png')
windowTitle = "canny detector"
cv2_img = cv2.imread('edi uveitis final6.png')
scv_img = Image(cv2_img, cv2image=True)
scv_img = scv_img.rotate90()
def threshold(value):
global scv_img
# The t1 parameter is r... |
import _init_paths
import caffe
import cv2
import numpy as np
import numpy as np
import os
import skimage
import sys
import caffe
import sklearn.metrics.pairwise as pw
import math
from fr_wuqianliang import *
# sys.path.insert(0, '/Downloads/caffe-master/python');
# load Caffe model
caffe.set_mode_gpu();
global net... |
from os import path
def open_file():
# function for requesting file name from user
# and checking if the file exists in the specified directory or not
while True:
file = input('Enter file name: ')
if path.exists(file):
break
else:
print('Invalid file name or it does not exists!!')
return open(file)
... |
from django.shortcuts import render, redirect
from django.core.urlresolvers import reverse
from utils.decorators import login_required
from df_user.models import Address
from df_goods.models import Goods
from django_redis import get_redis_connection
from df_order.models import OrderGoods, OrderInfo
from django.http imp... |
import matplotlib
matplotlib.use('TkAgg')
matplotlib.rcParams['toolbar'] = 'None'
import matplotlib.pyplot as plt
import time
import numpy as np
from utils import Logger
plt.ion()
class ShowVariableLogger(Logger):
def __init__(self, average_window=1, update_frequency=1):
self.update_period = 1 / update_fr... |
''' Works the same as our fast version '''
import numpy as np
import matplotlib.pyplot as plt
import numexpr as ne
import time
obj=plt.imread('jerichoObject.bmp')
print obj.shape
ref=plt.imread('jerichoRef.bmp')
print ref.shape
img=obj-ref
#start=200e-6
#stop=13e-3
#stepSize=1e-6
#distance=np.arange(start,stop,stepSi... |
from imutils.video import VideoStream
import datetime
import imutils
import time
import cv2
import collections
from functools import reduce
import gphoto2 as gp
from camera_control import CameraControlManagerSubProcess, CameraControlMsg, release_camera, CAPTURE_IMAGE
import concurrent.futures
import numpy as np
import... |
from app.core.db import database
from app.user.models import User
from slugify import slugify
from unicodedata import normalize
class Transfer(database.Model):
__tablename__ = 'transfer'
id = database.Column(database.Integer, primary_key = True)
value = database.Column(database.Integer)
tujuan = datab... |
import boto.ec2
import boto.ec2.autoscale
from boto.ec2.autoscale import LaunchConfiguration
from boto.ec2.autoscale import AutoScalingGroup
from boto.ec2.cloudwatch import MetricAlarm
from boto.ec2.autoscale import ScalingPolicy
import boto.ec2.cloudwatch
access_key_id = ""
secret_access_key = ""
REGION = "ap-south-... |
import numpy as np
from ..base import BaseLosses
class CrossEntropy(BaseLosses):
@staticmethod
def forward(predictions:np.ndarray, ground_truths:np.ndarray):
return np.mean(np.multiply(ground_truths, np.log(predictions)) +
np.multiply((1-ground_truths), np.log(1-predictions)))... |
#!/usr/bin/python
# modelEditor.py is a python script to display fornt end of the model editor. It developed for FreeEDA software. It is written by Yogesh Dilip Save (yogessave@gmail.com) and Shalini Shrivastava.
# Copyright (C) 2012 Yogesh Dilip Save and Shalini Shrivastava, FOSS Project, IIT Bombay.
# This program ... |
from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
class Question(db.Model):
"""Questions for users."""
__tablename__ = "questions"
question_id = db.Column(db.Integer, primary_key=True)
strand_id = db.Column(db.Integer)
strand_name = db.Column(db.String(64))
standard_id = db.Column(db.Integer)
standar... |
import Augmentor as Augmentor
image_path = 'images/'
output_directory = 'output/'
p = Augmentor.Pipeline(
source_directory=image_path,
output_directory=output_directory
)
# p.flip_left_right(probability=0.5)
# p.rotate(probability=1, max_left_rotation=25, max_right_rotation=25)
# p.zo... |
import requests
import yaml
import sys
from WCLPayoutDistributor import WCLPayoutDistributor
if len(sys.argv) < 3:
print('Args: wclreport totalgold')
sys.exit()
id = sys.argv[1]
total_currency = float(sys.argv[2])
with open('config.yaml', 'r', encoding="utf-8") as f:
config = yaml.safe_load(f)
resp = requests.ge... |
import math
import random
import queue
import ray
from ray.rllib.train import torch
from prey_dqn.prey_env import PreyEnv
from prey_dqn.prey_policy import PreyPolicy
from util.config_reader import ConfigReader
class Preys():
def __init__(self):
self.steps = 0
self.preys = []
self.hunter_... |
from pypcsimplus import *
import pypcsimplus as pcsim
class LiquidModel400(pcsim.Model):
def defaultParameters(self):
p = self.params
p.Frac_EXC = 0.8 # fraction of excitatory neurons
p.OUScale = 0.4
p.Xdim = 15
p.Ydim = 6
... |
# output contact group in contact group score + volume + rsa
import sys
import itertools
from cg import cg
from naccess import naccess
def main():
if len(sys.argv) < 3:
print "Usage python proc_nvboard.py cg_file rsa_file"
print "python proc_nvboard.py 1k2p.tip.hcg 1k2p.rsa"
print "output: 1k2p.tip.hc... |
# Michael Schorr
# 2/28/19
# creating a list of anyone I want and inviting them to dinner on my new large dinner table.
guests = ['george washington', 'bono', 'peter griffin']
message = ", Hey would you like to come to dinner on the 1st of March"
print("Hey everyone I just bought a large new dinner table.")
guests.ins... |
#First, I will need to import the pandas module so that I can carry out dataframe operations.
import pandas as pd
#Now, I need to set my fields for column names for my dataframe
fields = ["Scaffold", "Start", "Stop", "Element", "Score", "Strand", "Class", "Family", "Divergence"]
#Now, I need to read the "aVan_rm.bed" f... |
# try:
# print("====")
# print(x)
# print("====")
# print("====")
# except KeyError as x:
# print(x)
# except NameError as e:
# print(e)
# print(111111)
# s1="hello"
# try:
# int(s1)
# except IndexError as e:
# print(e)
# except ValueError as e:
# print(e)
# except Exception as e:
#... |
import matplotlib.pyplot as plt
import numpy as np
import dxchange
import os
import sys
if __name__ == "__main__":
data_prefix = sys.argv[1]
nscan = int(sys.argv[2])
ntheta = int(sys.argv[3])
nmodes = int(sys.argv[4])
ndet = 128
theta = np.zeros(ntheta, dtype='float32')
scan = np.... |
# write down alphabet
alphabet=['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q',
'r','s','t','u','v','w','x','y','z']
message = input('Message to encrypt: ')
message = message.lower() #to also encrypt CAPS
shift = input('Number of shifts? ')
shift = int(shift)
d = ... |
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