import pyratemp import req, helpers import sys template = pyratemp.Template(filename=sys.argv[1]) print template(r=req.Req(), h=helpers.Helpers())
def widget(self, dlg):
import helpers
return helpers.Helpers(dlg)
import helpers
#from helpers import Helpers()
helpers.Helpers()
print("Hello World")
import filesystem
import config
import helpers
import mailing
fs = filesystem.Filesystem()
cfg = config.Config()
hlp = helpers.Helpers()
mail = mailing.Mailing()
def main():
print_hello()
def print_hello():
print('\n Nano Shopping List')
print(' ------------------\n')
main()
import helpers
import datetime
import pandas as pd
from sklearn import preprocessing
from sklearn.externals import joblib
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import make_pipeline, TransformerMixin
import sklearn.cross_validation as cv
from sklearn.linear_model import Lasso
from sklearn.linear_model import BayesianRidge
from sklearn.externals import joblib
from sklearn.svm import SVR
import bb_transformer
# Load DF
db_helper = helpers.Helpers()
db_helper.db_connect()
df = db_helper.load_into_panads()
df2 = df[["latitude", "longitude"]]
df2.to_json("output.json", orient="records")
import os
from flask import Flask, render_template, redirect, url_for, request, jsonify, abort, send_from_directory
from peewee import Q
from flask_peewee.auth import Auth
from flask_peewee.db import Database
from flask_peewee.admin import Admin
from pdf import to_pdf, Pdf
from num_to_text import Traductor
app = Flask(__name__)
app.config.from_pyfile('config.py')
helpers.Helpers(app)
db = Database(app)
auth = Auth(app, db)
admin = Admin(app, auth)
import models
import forms
def menu(opcion):
opciones = [
['/', 'Principal', ''],
['/importar', 'Importar', ''],
['/admin', 'Administrar', ''],
]
def __init__(self, bot):
self.bot = bot
self.errors = ErrorString()
self.configs = Configs()
self.helpers = helpers.Helpers()