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# coding=utf-8 import pyglet import BasePiece class Piece(BasePiece.BasePiece): def __init__(self, name, x, y): self.__name = name self.current_position = [x, y] self.__target_position = [] self.isKilled = False self.__position_history = [] self.Prepar...
import requests as req import json url='http://localhost:9515/session' data=json.dumps({ "desiredCapabilities": { "caps": { "nativeEvents": "false", "browserName": "chrome", "version": "", "platform": "ANY" } } }) r=req.post(url,data) # req.dele...
# 讀取檔案,把內容存成清單 def read_file(filename): data = [] with open(filename, 'r') as f: for line in f: data.append(line) return data # 印出長度小於某數的留言數量 def word_count_filter(data, amount): new = [] for d in data: if len(d) < amount: new.append(d) print(f'一共有{len(new)}筆留言長度小於{amount}') # 印出有某個字...
import pymysql import aws_credentials as rds import string import random import datetime def id_generator(size, chars=string.ascii_uppercase + string.digits): return ''.join(random.choice(chars) for _ in range(size)) def ticket_generator(size, chars=string.ascii_letters + string.digits): return ''.join(ra...
#!/usr/bin/env python # -*- coding: utf-8 -*- """ @Time : 2018/10/17 @Author : AnNing """ import datetime from dateutil.relativedelta import relativedelta import numpy as np def is_day_timestamp_and_lon(timestamp, lon): """ 根据距离 1970-01-01 年的时间戳和经度计算是否为白天 :param timestamp: 距离 1970-01-01 年的时间戳 :par...
import sys import time import threading from itertools import count import matplotlib.pyplot as plt import matplotlib.animation as animation import random import numpy as np import time import datetime as dt import matplotlib.pyplot as plt plt.style.use('dark_background') # length of window n = 50 # Create figure...
# Generated by Django 2.2.12 on 2020-09-03 19:52 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('homepage', '0011_session_table'), ] operations = [ migrations.CreateModel( name='current_session', fields=[ ...
import hashlib import shlex import subprocess from os import system def Mash(input): m = hashlib.md5() m.update(input) print(m.hexdigest()) def main(): curFiles = 2 subprocess.run(["./fastcoll", "-p", "prefix", "-o", "col0", "col1"]) while(curFiles<=32): subprocess.run(["./fastcoll"...
import numpy as np import time import scipy.spatial as sp import scipy import matplotlib.path as mpltpath import matplotlib.pyplot as plt from scipy import interpolate rtimewprMFs=[] rtimesum=[] print("lsspy.optMF3D: This optimized library computes the 3-D Minkowski Functional based on a Voronoi Tessellation.\n") C_...
# -*- coding: utf-8 -*- """ Created on Thu Aug 1 13:07:04 2019 @author: Sunny """ ''' import socket #hostname = '127.0.0.1' #port = 7777 #addr = (hostname,port) #clientsock = socket.socket() ## 建立一個socket #clientsock.connect(addr) # 建立連線 def main(): while True: clientsock=socket.socket(sock...
from django.conf import settings from rest_framework import serializers, validators from locations.serializers import LocationSerializer from .models import PaymentMethod, Truck, TruckImage class TruckImageSerializer(serializers.ModelSerializer): class Meta: model = TruckImage fields = ("id", "i...
#!/usr/bin/env python3 # -*- coding:UTF-8 -*- __author__ = 'zachary' """ File Name: demo.py Created Time: 2020-04-11 11:42:57 Last Modified: """ import re from selenium import webdriver from parsel import Selector url = 'http://www.porters.vip/captcha/clicks.html' browser = webdriver.Firefox(executable_path='../gec...
import socket import datetime import sys import os HOSTNAME = "127.0.0.1" PORT = 8000 PROTOCOL = 0 TIMEOUT = 15 MAX_SIZE = 1024 QUEUE_SIZE = 5 FILE_A = "GET /a.jpg HTTP/1.1\r\nHost: 127.0.0.1:8000\r\nConnection: keep-alive\r\n\n" FILE_B = "GET /b.mp3 HTTP/1.1\r\nHost: 127.0.0.1:8000\r\nConnection: keep-alive\r\n\n" FI...
""" @version 0 @author: Jetse Quality control: * Checked whether each column contains at least 8 columns * Checked whether file contains at least a single SNP """ from qualityControl import QualityControlExceptions class VcfFile: def __init__(self, fileName, bcf=False): self.fileName = fileName ...
from DG_MMSFunctions import * from numpy import * import matplotlib import matplotlib.pyplot as plt import sys functions = [] for arg in sys.argv[1:-1]: functions.append(arg) n_rows = int(sys.argv[-1]) matplotlib.rcParams['xtick.direction'] = 'out' matplotlib.rcParams['ytick.direction'] = 'out' plt.subplots_adjus...
def facebook(): print("Hallo, wat is jou naam?") naam = input() print("Welkom", naam, "!") print("Mogen wij jou wat vragen? Ja/Nee") vraag = input().lower() if vraag == "nee": exit() if vraag == "ja": print("Top! Laten we beginnen.") print(naam, "hoe oud ben jij?") ...
known_users=['Alice', 'Bob', 'Claire', 'Dam','Emma'] while True: print "Hi! My Name is Travis" name=raw_input("What is your name?:").strip().capitalize() if name in known_users: print 'Hello {}!'.format(name) else: print 'i dont think i have met you'
import glob import os from PIL import Image outdir = 'cropped' scale = 1.3 BBOX = [600, 176, 1417, 795] files = glob.glob('./*.png') for file in files: print('process %s' % file) inimage = Image.open(file).crop(BBOX) width, height = inimage.size inimage.resize((int(width/scale), int(height/scale)), ...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- #上面的注释是用来支持中文,没有就会出错 # 注意 本文件是根据 index.py 复制修改的 # 基本上复用了 index.py 的逻辑,下面是修改的地方 # 1)原来的递归解构没了 # 2)没有数据库相关的操作(所以没有网页版本) # 3) 命令行参数是需要查询的股票 from __future__ import division #这个需要先 pip install requests import requests import json import math import time import argparse #用来...
class Solution(object): def countPrimeSetBits(self, L, R): """ :type L: int :type R: int :rtype: int """ def bits(n, base, bit_arr): if n != 0 and bit_arr[n] == 0: while base > n: base >>= 1 bit_arr[n] = ...
nome = str(input()) fixo = float(input()) venda = float(input()) print("TOTAL = R$ %.2f" % round((fixo+(0.15*venda)),4))
magician_names = ['David Blaine', 'Cris Angel', 'Houdini', 'Harry Potter', 'Wutan'] def great_magicians(magicians): '''Function that modifies the string in a list''' magicians[:] = ['The Great ' + magician for magician in magicians] return magicians def show_magicians(magicians): '''Function t...
#!/usr/bin/python import zlib msg = """ Society in every state is a blessing, but government even in its best state is but a necessary evil in its worst state an intolerable one; for when we suffer, or are exposed to the same miseries by a government, which we might expect in a country without ...
def is_odd_num(n): return n & 1 # 13 = 1101 so bits are 3,2,1,0 first bit starts from zero def is_ith_bit_set(n, i): return (n >> i) & 1 or n & (1 << i) def set_ith_bit(n, i): return n | (1 << i) def unset_ith_bit(n, i): return n ^ (1 << i) def check_number_is_power_of_2(n): return (n & ...
#!/bin/env python # Accounting file parser, to answer questions such as: # - What is the breakdown of usage between faculties? # - What is the breakdown of usage between users? # - What is the breakdown of usage between users within a faculty? # Try and be python2 compatible from __future__ import print_function imp...
from aiogram import Bot from aiogram.contrib.fsm_storage.memory import MemoryStorage from aiogram.contrib.middlewares.logging import LoggingMiddleware from aiogram.dispatcher import Dispatcher from bot import TOKEN bot = Bot(token=TOKEN) storage = MemoryStorage() dp = Dispatcher(bot, storage=storage) dp.middleware.s...
""" #Author: Sean Sill #email: sms3h2@gmail.com #Date: 2/2/2013 #Notes: Created this file to act as a remote control from my pc to my computer! """ try: import serial print 'Serial Imported' except: import testserial as serial print 'Pyserial not found, using a dummy serial port' pass ...
import numpy as np import pandas as pd import gzip import json import preprocessing as pre #Read json.gz (gzip) #Chunk reading needed def parse(path, lower, limit): g = gzip.open(path, 'rb') i=0 for l in g: i = i+1 if i < lower: continue if i > limit: break yield json.loads(l) de...
#!/usr/bin/env python3 from string import Template user_data = '''Content-Type: multipart/mixed; boundary="//" MIME-Version: 1.0 --// Content-Type: text/cloud-config; charset="us-ascii" MIME-Version: 1.0 Content-Transfer-Encoding: 7bit Content-Disposition: attachment; filename="cloud-config.txt" #cloud-config cloud...
import matplotlib.pyplot as plt import numpy as np import pandas as pd from sklearn.linear_model import LinearRegression from sklearn.model_selection import cross_val_score from sklearn.metrics import mean_squared_log_error, mean_squared_error, make_scorer, r2_score from sklearn.utils import resample from sklearn.prepr...
import setuptools with open("README.rst", "r") as readMe: long_description = readMe.read() setuptools.setup( name="billionfong", version="1.2.6", author="Billy Fong", author_email="billionfong@billionfong.com", description="Welcome to billionfong's playground", long_description=long_descri...
import pytest import sys import random import string import json from app import create_app def random_string_generator(): allowed_chars = string.ascii_letters + string.punctuation size = 12 return ''.join(random.choice(allowed_chars) for x in range(size)) username = random_string_generator() password = ...
""" (C) Casey Greene. This python script generates a number of different files that serve as permuted standards for NetWAS analysis from a GWAS. These files differ only in their gene ordering to evaluate the effects of multiple cross validation intervals on the results. """ import os import pandas as pd import numpy ...
# -*- coding: utf-8 -*- # Description: # Created: liujiaye 2020/08/11 from app.utils.base_dao import BaseDao class StockDao(BaseDao): def select_stock_day_detail(self, day): sql = """SELECT id, ORITEMNUM order_number, NOTICENUM shipping, WAINTFORDELNUMBER w...
#! usr/bin/env python import numpy as np import matplotlib.pyplot as plt from numpy import linalg def calc_granularity(hist2d_output): '''Calulates the granularity of a plt.hist2d object. The granularity approaches 0 when the histogram approaches a single bin, and 1 when the geometric area of the diagon...
# coding:utf-8 ''' Created on 2013-6-11 @author: wolf_m ''' class ViperClientGroup(): inst = None def __init__(self): self.clientMap = {} def addClient(self, client): if client.id in self.clientMap: return None else: self.clientMap[client.id] = client ...
in_queue = Queue() def consumer(): print('Consumer waiting') work = in_queue.get() # 두 번째로 완료함 print('Consumer working') # 작업을 수행함 # ... print('Consumer done') in_queue.task_done() # 세 번째로 완료함 Thread(target=consumer).start() in_queue.put(object()) # 첫 번째로 완료함 print('Pr...
#Multiplies a factor times all of the elements in a list number_list = [2, 4, -22, 10, -16, 20, 55] my_number = 10 multiplied_list = [] for num in number_list: new_number = num * my_number multiplied_list.append(new_number) print(multiplied_list)
# -*- coding: utf-8 -*- """ Created on Thu Jan 10 21:55:45 2019 @author: yoelr """ import numpy as np from .array import array __all__ = ('tuple_array',) ndarray = np.ndarray asarray = np.asarray def invalid_method(self, *args, **kwargs): raise TypeError(f"'{type(self).__name__}' objects are immutable.") class...
# -*- coding: utf-8 -*- """ Created on Sat Feb 24 10:05:56 2018 @author: Jun Wang """ import xml.etree.cElementTree as ET # import pprint import re import codecs import json from audit import update_name lower = re.compile(r'^([a-z]|_)*$') lower_colon = re.compile(r'^([a-z]|_)*:([a-z]|_)*$') problemchars = re.compi...
from django.urls import path from django.urls import path,include from . import views urlpatterns = [ path('product-grid/',views.products_grid, name='products_grid'), ]
#!/usr/bin/env python3 import asyncio import json import logging import random import string import threading import discord log = logging.getLogger(__name__) logging.basicConfig(level=logging.INFO) class TimerClass(threading.Thread): def __init__(self, bot): threading.Thread.__init__(self) se...
from django.db import models from taggit.managers import TaggableManager from nomadgram.users import models as user_models #if we import many models we make nickname using 'as~' # Create your models here. class TimeStampedModel(models.Model): created_at = models.DateField(auto_now_add=True) updated_at = model...
from lib.chatbot.reaction.reactionBase import ReactionBase class ReactionDefault(ReactionBase): def __init__(self, message, me): super().__init__(message, me) def response(self): text = "Uff, I'm speechless..." self._send_message(text) def action(self): pass
import mysql.connector try: host_name = "localhost" user_name = "root" pwd = "9866850403" db_name = "" con = mysql.connector.connect(host=host_name, user=user_name, password=pwd, database=db_name) cur = con.cursor() sql = "show databases" cur.execute(sql) existing_dbs = cur.fetcha...
#/bin/python from pyb import * from time import sleep x = 0 brightness = 100 led1 = LED(1) led2 = LED(2) brightness = 0 while True: for count in range(50): led1.intensity(brightness) brightness += 1 sleep(0.05) for count in range(50): led1.intensity(brightness) brightness += -1 sleep(0....
from django.conf.urls import url from . import views urlpatterns = [ url(r'^$', views.listar_publicaciones), url(r'^post/(?P<pk>[0-9]+)/$', views.detalle_publicacion), url(r'^post/new/$', views.nueva_publicacion, name='nueva_publicacion'), url(r'^post/(?P<pk>[0-9]+)/edit/$', views.post_editar, na...
import discord from discord.ext import commands import json import os from classes import Guild import database as db from env import TOKEN from vars import bot, extensions, get_prefix @bot.event async def on_ready(): """Initial function to run when the bot is ready to function""" await bot.change_presence( ...
#!/usr/bin/python3 import matplotlib.pyplot as plt import numpy as np import pandas as pd PATH = "https://raw.githubusercontent.com/hyeonukbhin/homework3_NA/master/assets/data/" FILENAME = "647_Global_Temperature_Data_File.txt" TITLE = "Global Temperature" X_LABEL = "YEAR" Y_LABEL = "Temperature Anomaly (C)" SAVE_FIL...
# -*- coding: utf-8 -*- """ Created on Sun Mar 6 15:27:04 2016 @author: alex """ from AlexRobotics.dynamic import Prototypes as Proto from AlexRobotics.control import RolloutComputedTorque as RollCTC import numpy as np R_ctl = Proto.SingleRevoluteDSDM() R = Proto.SingleRevoluteDSDM() # Loa...
import os import random import string import wave import logging from handlers.base import BaseHandler from recognizer import speech logger = logging.getLogger(__name__) def get_path(filename): from settings import UPLOAD_ROOT return os.path.join(UPLOAD_ROOT, filename) class UploadHandler(BaseHandler): ...
import os from setuptools import setup, find_packages version = '0.0.1' README = os.path.join(os.path.dirname(__file__), 'README.rst') long_description = open(README).read() + '\n\n' if __name__ == '__main__': setup( name='todo', version=version, description=(''), long_description=...
# +------------------------------------------------+ # | Atack: Bof Win Function | # +------------------------------------------------+ # # For more info checkout: https://github.com/guyinatuxedo/nightmare/tree/master/modules/05-bof_callfunction from pwn import * import sf target = process("./...
""" prometheus.py A simple python script that pulls data from Prometheus's API, and stores it in a Deephaven table. This is expected to be run within Deephaven's application mode https://deephaven.io/core/docs/how-to-guides/app-mode/. After launching, there will be 2 tables within the "Panels" section of the Deephav...
from rest_framework import viewsets from rest_framework.response import Response from ..serializers import TrailSectionsSerializer from trail_mapper.models import TrailSections, Trail class TrailSectionsViewSet(viewsets.ModelViewSet): """This is the m2m join of trails and trail_sections.""" queryset = TrailS...
from pathlib import Path import os import argparse import pandas as pd DST_DIR = os.environ.get('FREESURFER_DST') def parse(): parser = argparse.ArgumentParser() parser.add_argument('-d', '--dir') return parser.parse_args() def main(): args = parse() P = Path(__file__).resolve().parent / args.d...
import django_filters from django_filters import CharFilter from cashPayment.models import cashPayment class CashFilter(django_filters.FilterSet): Month = CharFilter(field_name='Month', lookup_expr='icontains') class Meta: model = cashPayment fields = ['Year', 'Month']
import os import hvac from hvac.exceptions import InvalidPath from requests.exceptions import ConnectionError from django.conf import settings from .models import Vault class VaultClient(): def __init__(self, mount_point=os.environ.get('VAULT_MOUNT_POINT', 'pwdmng/')): path_prefix = self._path_prefix ...
print('yes') print('whats') print('eat gulabjamun') print('switzerland trip to parents in 2023') work = input() if work==1: print('earn now')
import scrapy class DmozSpider(scrapy.Spider): name = "dmoz" headers={ "User-Agent":"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.221 Safari/537.36 SE 2.X MetaSr 1.0", "Upgrade-Insecure-Requests":"1", } allowed_domains = ["sogou.com", "tmal...
"""Implementing Report screen page objects""" from TestFramework.Libraries.Pages.base_page import BasePage from selenium.webdriver.common.by import By from selenium.webdriver.support import expected_conditions as EC class ReportPage(BasePage): """ Contains Report UI page locators Switch to report functio...
import subprocess import shlex import os import signal from helper import path_dict, path_number_of_files, pdf_stats, pdf_date_format_to_datetime, dir_size, url_status import json from functools import wraps from urllib.parse import urlparse from flask import flash, redirect, url_for, Response, send_file, Markup, loggi...
# while loop if the condition is true it will continuously executing the loop. # it will continuously execute the loop until the condition becomes false. s = 4 while s > 1: print(s) s = s - 1 # it is required to avoid the infinite loop print("first while loop execution is done") # if you don't want to print ...
#!/usr/bin/env python from anuga.culvert_flows.culvert_polygons import * import unittest import os.path from anuga.geometry.polygon import inside_polygon, polygon_area class Test_poly(unittest.TestCase): def setUp(self): pass def tearDown(self): pass def test_1(self): ...
#!/usr/bin/python3 """Translate messages.json using Google Translate. The `trans` tool can be found here: https://www.soimort.org/translate-shell/ or on Debian systems: $ sudo apt-get install translate-shell """ import collections import json import os import shutil import subprocess import sys LANG_MAP = { ...
# ******************************************************************** # Countdown - Create a function that accepts a number as an input. Return a new list that counts down by one, # from the number (as the 0th element) down to 0 (as the last element). # Example: countdown(5) should return [5,4,3,2,1,0] def countdown...
""" abstraction of a lane line """ class LaneLine(object): def __init__(self): self.fit = None self.x = None self.yvals = None self.curverad = None def reset(self): # if self.x is not None and len(self.x) > 0: # del self.x[:] # if self.yvals is not...
import numpy as np class Transformer: def transform_X(self, X): return X def transform_y(self, y): return y def format_X(self, X): num_samples = len(X) num_features = len(X[0]) return np.reshape(X, [num_samples, num_features]) def format_y(self, y): ...
# -*- coding: utf-8 -*- """ @author: Chris Lucas """ import os from flask import json from app import app, api OUTPUT = 'static/swagger.json' mode = os.environ['SESLR_APP_MODE'] mode = '/' + mode if mode != 'prod' else '' base_path = '{}/api/'.format(mode) os.makedirs(os.path.dirname(OUTPUT), exist_ok=True) with ...
#!/usr/bin/env python # # Generated Fri May 27 17:23:42 2011 by parse_xsd.py version 0.4. # import saml2 from saml2 import SamlBase from saml2.schema import wsdl NAMESPACE = "http://schemas.xmlsoap.org/wsdl/soap/" class EncodingStyle_(SamlBase): """The http://schemas.xmlsoap.org/wsdl/soap/:encodingStyle eleme...
import numpy as np def _unit_vector(data, axis=None, out=None): """ Return ndarray normalized by length, i.e. Euclidean norm, along axis. >>> v0 = np.random.random(3) >>> v1 = _unit_vector(v0) >>> np.allclose(v1, v0 / np.linalg.norm(v0)) True >>> v0 = np.random.rand(5, 4, 3) >>> v1 = _uni...
MAX_64_INT = 9223372036854775807 MAX_32_INT = 2**32-1 GROUND_FILE_NAME = "ground_truth.txt" UNIVERSE_FILE_NAME = "universe.txt" WHITES_FILE_NAME = "whites_example.txt"
# Generated by Django 3.1.1 on 2020-09-08 20:06 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('soldiers_viewer', '0006_auto_20200907_2012'), ] operations = [ migrations.AddField( model_name='soldier', name='addr...
import discord import random import json from discord.ext import commands class Commands(commands.Cog): def __init__(self, client): self.client = client self.limited = [] self.count = 0 @commands.command() async def random(self,ctx): with open('./model/utils/elements.json...
""" *What is this pattern about? In Java and other languages, the Abstract Factory Pattern serves to provide an interface for creating related/dependent objects without need to specify their actual class. The idea is to abstract the creation of objects depending on business logic, platform choice, etc. In Python, th...
from sklearn.datasets import load_iris from sklearn.model_selection import train_test_split import pandas as pd from sklearn.neighbors import KNeighborsClassifier import numpy as np iris_dataset = load_iris() X_train, X_test, y_train, y_test = train_test_split(iris_dataset['data'], iris_dataset['target'], random_st...
import glob,os import numpy as np import matplotlib.pyplot as plt from plotmaker import trav_wave def simple_PDE(T,Nx,Nt,X,lam,beta,S_1,I_1,R_1,f,g,h): S = np.zeros(Nx+3) #list of Susceptible #S_1 = np.ones(Nx+1)#list of Susceptible in previous time step I = np.zeros(Nx+3) #list of Susceptible #I_...
from jinja2 import Environment, FileSystemLoader ENV = Environment(loader=FileSystemLoader('.')) template = ENV.get_template("template.j2") #class method works to a similar output to the Dictionary method class NetworkInterface(object): def __init__(self, name, description, vlan, uplink=False): self.name...
import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data import numpy as np import matplotlib.pyplot as plt tf.set_random_seed(1) np.random.seed(1) BATCH_SIZE = 50 LR = 0.001 # learning rate mnist = input_data.read_data_sets('./mnist', one_hot=True) # they has been normalized...
from mcrcon import MCRcon class Connection: def __init__(self, address, port, secret): self.mcr = MCRcon(address, secret) self.mcr.connect() def send(self, msg): resp = self.mcr.command(msg) return resp
class Solution: def findMedianSortedArrays(self, nums1, nums2): combined = [] combined.extend(nums1) combined.extend(nums2) combined = sorted(combined) length = len(combined) if length % 2 != 0: return combined[length // 2] else: return...
from numpy import array from numpy import mean import numpy as np M = array([[1,2,3,4,5,6],[1,2,3,4,5,6]]) #print(M) col_mean = mean(M, axis=0) print(col_mean) row_mean = mean(M, axis=1) print(row_mean) all_mean = mean(M) print(all_mean) l = [1, 2, 3] p = [.2, .3, .5] e = 0 for count, i in enumerate(l): e += i * p...
# Copyright (c) Jeremías Casteglione <jrmsdev@gmail.com> # See LICENSE file. from _sadm import libdir from _sadm.service import Service from _sadm.utils import path __all__ = ['configure'] def configure(env, cfg): env.settings.merge(cfg, 'service', ( 'config.dir', 'enable', )) _loadEnabled(env) def _loadEnab...
import numpy as np import cv2 as cv from matplotlib import pyplot as plt MIN_MATCH_COUNT = 5 img = cv.imread('C:/Users/Windows/Desktop/Trabalhos/Verso.png',1) # trainImage marca1 = img[0:57, 0:57] marca2 = img[0:57, 540:590] marca3 = img[790:840, 0:57] marca4 = img[790:840, 540:590] gray1 = cv.cvtColor(marca1,cv.COL...
import FWCore.ParameterSet.Config as cms process = cms.Process("Ana") process.load("FWCore.MessageService.MessageLogger_cfi") ############# Set the number of events ############# process.maxEvents = cms.untracked.PSet( input = cms.untracked.int32(1000) ) ############# Define the source file ############### pro...
# Path to access data DATA_PATH = './Data/planilha_de_repasse.xlsx' # Value of used column keys DATA_KEY_CONCILIATION = 'Conciliação' DATA_KEY_PAYMENT_WAY = 'Método de pagamento' DATA_KEY_ML_COMMISSION = 'Comissão ML por parcela' DATA_KEY_GROSS_AMOUNT = 'Valor bruto da parcela' DATA_KEY_TRANSACTION_DATE = 'Data da tra...
import cPickle import gzip import os import sys import time import numpy import theano import theano.tensor as T from theano.tensor.signal import downsample from theano.tensor.nnet import conv from logistic_sgd import LogisticRegression, load_data from mlp import HiddenLayer from convolutional_mlp import LeNetConvPo...
import itertools from typing import Iterable from fireant.utils import ( flatten, format_dimension_key, format_metric_key, ) from pypika import ( Table, functions as fn, ) from .finders import ( find_and_group_references_for_dimensions, find_joins_for_tables, find_required_tables_to_jo...
from .utils import clever_format from .profile import profile, profile_origin import torch default_dtype = torch.float64
# # Created on Thu Aug 24 2020 # Author: Vijendra Singh # Licence: MIT # Brief: # import os import cv2 import parameters as params def read_images(dir_name=params.DATA_DIR): ''' @brief: read images and store it along with unique ID representing its position @args[in]: directory containing images @ar...
from django.shortcuts import render from .forms import StudentRegistration # Create your views here. def showformdata(request): fm=StudentRegistration(auto_id='some_%s', label_suffix=' ?', initial={'name':'rishabh'}) return render(request,"enroll/userregistration.html",{'stud':fm})
class Task: title = "Task" done = False def __init__(self, title): self.title = title def check(self): self.done = not self.done
# cff for L1GtAnalyzer module # # V.M. Ghete 2012-05-22 from L1Trigger.GlobalTriggerAnalyzer.l1GtAnalyzer_cfi import *
import os obj_dir = "/home/pirate03/hobotrl_data/playground/initialD/exp/record_rule_scenes_rnd_obj_v3_fenkai_rm_stp/val" eps_names = sorted(os.listdir(obj_dir)) for eps_name in eps_names: eps_dir = obj_dir + "/" + eps_name lines = open(eps_dir+"/0000.txt", "r").readlines() new_txt = open(eps_dir+"/0001.tx...
1 import rospy import Talker from std_msgs.msg import String def speak_text_callback(data): pass def socialist(): rospy.init_node("socialist") rospy.Subscriber("speak_text", String, speak_text_callback) rospy.spin() if __name__ == '__main__': socialist()
_base_ = '../res2net/cascade_rcnn_r2_101_fpn_20e_coco.py' model = dict( backbone=dict( type='CBRes2Net', cb_del_stages=1, cb_inplanes=[64, 256, 512, 1024, 2048], dcn=dict(type='DCNv2', deform_groups=1, fallback_on_stride=False), stage_with_dcn=(False, True, True, True)), ...
import io, re, sys import string import pandas as pd from toolz.functoolz import compose_left from ast import literal_eval from pathlib import Path from types import SimpleNamespace from typing import Dict, List, Tuple from pdb import set_trace as st from prettyprinter import pprint from prettyprinter import cpprint fr...
import sys def error(msg): """Prints error message, sends it to stderr, and quites the program.""" sys.exit(msg) args = sys.argv[1:] # sys.argv[0] is the name of the python script itself try: arg1 = int(args[0]) arg2 = args[1] arg3 = args[2] print("Everything okay!") except ValueError: ...
from flask import Flask,jsonify,request,render_template from flask_cors import CORS app = Flask(__name__, static_url_path='/assets') CORS(app) listBerat = [ {'tanggal':'2018-08-22', 'max':50, 'min':49}, {'tanggal':'2018-08-21', 'max':49, 'min':49}, {'tanggal':'2018-08-20', 'max':52, 'min':50}, ...
import io from keras.models import Model from keras.layers import Dense, Input from matplotlib import pyplot import numpy as np import tensorflow as tf import time def discriminator(): # Entrée à 2 valeurs inp = Input(shape=(2,), name='input_sample') x = inp # Unique couche cachée Dense de 25 noeuds avec une f...