content stringlengths 5 1.05M |
|---|
"""
Support for Zwave roller shutter components.
For more details about this platform, please refer to the documentation
https://home-assistant.io/components/rollershutter.zwave/
"""
# Because we do not compile openzwave on CI
# pylint: disable=import-error
import logging
from homeassistant.components.rollershutter im... |
import sys
import os
sys.path.insert(1, os.path.join(sys.path[0], '..'))
import numpy as np
from base.SO3 import SO3
from base.simple_filter import LowPassFilter, AverageFilter
from estimation.magnetometer_calibrator import MagnetometerCalibrator
from estimation.kalman_filter import KalmanFilterSO3
class Engine:
... |
import matplotlib.pyplot as plt
import shapefile
import pandas as pd
shpFilePath = r"C:\Users\tq220\Documents\Tits things\2018-2019\Data Science\Final-project-data\Data\Utah_FORGE_gravity.shp"
line_dict={}
df=pd.DataFrame(columns=['x','y'])
test = shapefile.Reader(shpFilePath)
inds=[]
listx=[]
listy=[]
for ind,sr in... |
import os
import sys
import shutil
import asyncio
from azure_functions_worker import protos
from azure_functions_worker import testutils
async def vertify_nested_namespace_import():
test_env = {}
request = protos.FunctionEnvironmentReloadRequest(
environment_variables=test_env)
request_msg = pro... |
# ---------------------------------------------------------------
# 这个脚本向你展示了如何使用 openvino 对 PPQ 导出的模型进行推理
# 你需要注意，openvino 也可以运行各种各样的量化方案，你甚至可以用 tensorRT 的 policy
# 但总的来说，openvino 需要非对称量化的 activation 和对称量化的 weights
# ---------------------------------------------------------------
# For this onnx inference test, all t... |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import argparse
import torch
import torch.optim as optim
import torch.nn as nn
from torch.autograd import Variable
import os
import random
import pickle
import esm
from torch.utils.data import TensorDataset, DataLoader
import emb_classifier
torc... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Apr 18 11:45:16 2018
@author: nemec
"""
# =============================================================================
# importing all the packages
import numpy as np
import glob
import re
# ============================================================... |
"""
Scraping Manga from komikid.com
Author: Irfan Chahyadi
Source: github.com/irfanchahyadi/Scraping-Manga
"""
# IMPORT REQUIRED PACKAGE
import os, requests, bs4
# GET LIST OF ALL CHAPTER
def get_all_chapter():
res = requests.get('http://www.komikid.com/manga/one-piece')
soup = bs4.BeautifulSoup(res.content,... |
n = int(input())
m = int(input())
mat = [[int(j) for j in input().split()] for i in range(n)]
def flood_fill(i, j):
if i >= n or j >= m or i < 0 or j < 0 or mat[i][j] == 0 or mat[i][j] == -1:
return 0
else:
mat[i][j] = -1
return 1 + flood_fill(i-1, j-1) + flood_fill(i-1, j) + f... |
from . import blocks
from . import losses
from . import normalization
from . import regularizers |
"""
Launch point
"""
from components.button import ToggleButton
from components.camera import Camera
from components.microphone import Microphone
button = ToggleButton()
camera = Camera()
mic = Microphone()
def main():
try:
while True:
if button.is_on():
camera.start_recordi... |
import time
from model.contact import Contact
import re
from selenium.webdriver.support.ui import Select
import allure
class ContactHelper:
def __init__(self, app):
self.app = app
def open_add_contact_page(self):
wd = self.app.wd
if not wd.current_url.endswith("/edit.php"):
... |
from .http import MPXApi
from .api_base import get_guid_based_id
__version__ = "0.1.16"
__title__ = "mpxapi"
|
# ====================================================================
# CODE AUTHOR: RAUL ESPINOSA
# This is the code for the actual cart functionality. A small note:
# I can't actually make the cart "work" until the models of the things
# that are supposed to go in the cart (i.e. the books) exist and can
# be importe... |
# -*- coding: utf-8 -*-
import urwid
__author__ = 'Sumin Byeon'
__version__ = '0.1.3'
__all__ = ['StackedWidget']
class StackedWidget(urwid.Widget):
"""A widget container that presents one child widget at a time."""
#: A list containing all widgets
widgets = []
#: An index of the current widget
... |
#!/usr/bin/env python3
# We are given a list of numbers in a 'short-hand' range notation where only
# the significant part of the next number is written because we know the
# numbers are always increasing
# ex. '1,3,7,2,4,1' represents [1, 3, 7, 12, 14, 21]).
#
# Some people use different separators for their r... |
from HABApp.core.events import ValueChangeEventFilter, ValueUpdateEventFilter
from . import ItemStateChangedEvent, ItemStateEvent
class ItemStateEventFilter(ValueUpdateEventFilter):
_EVENT_TYPE = ItemStateEvent
class ItemStateChangedEventFilter(ValueChangeEventFilter):
_EVENT_TYPE = ItemStateChangedEvent
|
#!/bin/python
import math
import os
import random
import re
import sys
if __name__ == '__main__':
cases = int(input())
for caseNo in range(cases):
s = raw_input()
#reverse string
rs = s[::-1]
n = len(s)
#take the difference of ascii values
for i in range(1, n):
d1 = abs(ord(s[i])... |
"""
Campaign tools
"""
import yaml
import arcade
from .ship import Ship
from .utils import Position
from .player import Player
from .render import RenderEngine
class Map(object):
"""
A single map within a campaign
"""
def __init__(self):
pass # TODO
class Campaign(object):
"""
A cam... |
_base_ = [
'../_base_/models/universenet50.py',
'../_base_/datasets/waymo_open_2d_detection_f0_mstrain_640_1280.py',
'../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py'
]
model = dict(bbox_head=dict(num_classes=3))
data = dict(samples_per_gpu=2)
optimizer = dict(type='SGD', lr=0.001, mom... |
"""Diagnostics support for Open-Meteo."""
from __future__ import annotations
import json
from typing import Any
from open_meteo import Forecast
from homeassistant.components.diagnostics import async_redact_data
from homeassistant.config_entries import ConfigEntry
from homeassistant.const import CONF_LATITUDE, CONF_L... |
from django.contrib import admin
from .models import Atracao
admin.site.register(Atracao) |
from .. import app
from .. import queue
from .. import hooks
from ..models import Post
from bs4 import BeautifulSoup
import urllib
import re
import requests
def register():
hooks.register('post-saved', send_webmentions)
def send_webmentions(post, args):
if args.get('action') in ('save_draft', 'publish_quiet... |
from nose.tools import eq_
from elasticutils import S, DefaultMappingType, NoModelError, MappingType
from elasticutils.tests import ElasticTestCase
model_cache = []
def reset_model_cache():
del model_cache[0:]
class Meta(object):
def __init__(self, db_table):
self.db_table = db_table
class Mana... |
import fractions
num = 1
den = 1
count = 0
sum = 0
while den <= 12000:
count = 0
min_num = int((den + 0.0) / 3 + 1)
max_num = den/2
if den % 2 == 0:
max_num -= 1
while min_num <= max_num:
if fractions.gcd(min_num, den) == 1:
count += 1
min_num += 1
sum += c... |
import concurrent.futures as cf
import json
from datetime import datetime
import math
import moodle.models as models
from frontend.models import Submission, GradingFile, Assignment, Course
from moodle.exceptions import AccessDenied, InvalidResponse
from persistence.worktree import WorkTree
from util import interaction... |
from marshmallow import Schema, fields, pprint
from flask import Flask
from flask_restplus import reqparse
from flask_restplus import Resource, Api
from scraper import scrape
import util
def analyze_func(x):
return x
api = Api()
app = Flask(__name__)
api.init_app(app)
""" Serialization Schemas """
class Su... |
from argparse import ArgumentParser
from pathlib import Path
from pfm import PotentialFieldMethod, Space
DIR = Path(__file__).parent
def main() -> None:
parser = ArgumentParser(
prog="python main.py",
description="Potential field method runner"
)
parser.add_argument(
"--space",
... |
# -*- coding: utf-8 -*-
"""INFO
Set the package information for `mkstuff'
:Author: Martin Kilbinger, <martin.kilbinger@cea.fr>
:Date: 18/04/2019
"""
# Release version
version_info = (1, 2, 2)
__version__ = '.'.join(str(c) for c in version_info)
# Package details
__author__ = 'Martin Kilbinger'
__email__ = 'mart... |
from db.models import Country, Notice, session
from sqlalchemy import desc, func
import datetime
class Stats:
def __init__(self, db_session):
self.session = db_session
def notice_ordered_per_country(self):
all_countries = self.session.query(Country)
ordered_list = all_countries.order_... |
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
import matplotlib.colors as colors
from scipy.integrate import cumtrapz, quad
from scipy.interpolate import interp1d
from scipy.stats import chi2
import PlottingTools as PT
import argparse
import os
#---------------
# MATPLOTLIB settings
m... |
import matplotlib.pyplot as plt
import numpy as np
import json
'''
This script plots multiple frame-by-frame results for PSNR and SSIM for testing video sequences.
The raw results files are generated from eval_video.m using MATLAB.
'''
### Three sets of results ###
# Loading result text files into JSON format
path1 ... |
"""Create category table.
Revision ID: 0c3924deb2b7
Revises: f68e6dafb977
Create Date: 2020-04-15 17:01:38.788610
"""
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
from modist.models.common import CategoryType
from alembic import op
# revision identifiers, used by Alembic.
revision = "0c3924deb... |
import scrapy
from tobber.items import Torrent
from tobber.spiders.indexer import Indexer
class Rarbg(Indexer):
name = "rarbg"
def start_requests(self):
print 'Rarbg is scrapying...'
self.site = "https://rarbg.is"
urls = []
search = self.site + "/torrents.php?search="
... |
#!/usr/bin/env python
import os
import math
import numpy as np
import cst.sord
# FIXME: prestress not correct
dx = 100.0
dt = dx / 12500.0
nx = int(16500.0 / dx + 21.5)
ny = int(16500.0 / dx + 21.5)
nz = int(12000.0 / dx + 120.5)
nt = int(8.0 / dt + 1.5)
alpha = math.sin(math.pi / 3.0)
prm = {
'shape': [nx, ny... |
def plug_element_count(plug):
lbracket = plug.rfind("[")
if lbracket != -1:
rbracket = plug.rfind("]")
if rbracket != -1 and lbracket < rbracket:
slicestr = plug[lbracket + 1:rbracket]
bounds = slicestr.split(":")
if len(bounds) > 1:
return int... |
import json
import csv
import pymysql
import re
import os.path
import cloudscraper
import http.client
http.client._is_legal_header_name = re.compile(rb'[^\s][^:\r\n]*').fullmatch
scraper = cloudscraper.create_scraper()
def main():
print("========== Starting ==========")
cfg = read_config()
db = pymysql... |
# Generated by Django 3.0.9 on 2020-10-06 13:24
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('articles', '0003_auto_20201005_1613'),
]
operations = [
migrations.AddField(
model_name='article',
name='image',
... |
import pytest
from flask import Flask
from flask import jsonify
from flask_jwt_extended import create_access_token
from flask_jwt_extended import create_refresh_token
from flask_jwt_extended import jwt_required
from flask_jwt_extended import JWTManager
from tests.utils import get_jwt_manager
from tests.utils import ma... |
import xlrd
from string import lower
ddr_fpga_list = ['FPGA00', 'FPGA01', 'FPGA02', 'FPGA03', 'FPGA30', 'FPGA31', 'FPGA32', 'FPGA33']
class lpfrow(object):
def __init__(self, schematic, port, ball, bank):
self.schematic = schematic
self.port = port
self.ball = ball
self.bank = ban... |
# -*- coding: UTF-8 -*-
# Clasificador con Naive Bayes incorporado, archivos usados: stopwords.txt, clasificador.pickle, politicos-historico.txt, medios-historico.txt, politicos-historico-recuperados.json, medios-historico-recuperados.json
# Argumento 1 : Lista de usuarios recuperados ()
# Argumento 2 : Lista de usuari... |
# -*- coding: utf-8 -*-
# Copyright 2020 The PsiZ Authors. All Rights Reserved.
#
# 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 r... |
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers, Model
def dped_resnet(input_shape, instance_norm = True):
inputs = keras.Input(shape=input_shape)
conv_0 = layers.Conv2D(64, 9, padding="same", activation=tf.nn.leaky_relu, \
kernel_initializer=tf.keras.i... |
from abc import abstractclassmethod
import os
import datetime
import typing
import json
from ..EnumLogLevel import EnumLogLevel
class Converter_prettyJSON_to_raw(object):
################################################################################################################################
## Cons... |
# Generated by Django 2.2.1 on 2019-05-06 10:28
from django.db import migrations, models
import Core.models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='ProjectModel',
fields=[
... |
import mysql.connector
from mysql.connector import errorcode
from mysql.connector.connection import MySQLConnection
class DatabaseHelper(MySQLConnection):
def __init__(self, svr_ctx=None, *args, **kwargs):
super(DatabaseHelper, self).__init__(*args, **kwargs)
self.svr_ctx = svr_ctx
def _c... |
import os
import torch
class CheckPoint(object):
def __init__(self, root, save_fn, load_fn, record_filename="checkpoint.txt", num_record=-1, clean=False):
self.root = root
self.save_fn = save_fn
self.load_fn = load_fn
self.filename = record_filename
self.num_record = num_... |
#!/usr/bin/env python
import kubeexport
import sys
from setuptools import setup, find_packages
from setuptools.command.test import test as TestCommand
requires = ['docopt==0.6.2']
test_requires = ['pytest==3.7.1', 'pytest-cov==2.5.1']
if sys.version_info[0] < 3:
test_requires.append('SystemIO>=1.1')
class PyTest... |
from .domain import Domain, DomainCreate, DomainInDB, DomainUpdate
from .msg import Msg
from .token import Token, TokenPayload
from .user import User, UserCreate, UserInDB, UserUpdate
from .event import EventCreate, EventCreated
from .billing import StripeLink
|
import pytest
import trio
from alexandria.payloads import (
Advertise, Ack,
FindNodes, FoundNodes,
Locate, Locations,
Ping, Pong,
Retrieve, Chunk,
)
@pytest.mark.trio
async def test_client_send_ping(alice_and_bob_clients):
alice, bob = alice_and_bob_clients
async with bob.message_dispatc... |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
# Copyright 2014 Konrad Podloucky
#
# 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 ... |
def aumentar(n=0, tx=0, formato=False):
aum = n + (n * tx / 100)
if formato:
return moeda(aum)
else:
return aum
def diminuir(n=0, tx=0, formato=False):
dim = n - (n * tx / 100)
return dim if formato is False else moeda(dim)
def metade(n=0, formato=False):
met = n / 2
retu... |
"""Canonical ISO date format YYYY-MM-DDTHH:mm:SS+HH:mm
This parser is _extremely_ strict, and the dates that match it,
though really easy to work with for the computer, are not particularly
readable. See the iso_date_loose module for a slightly relaxed
definition which allows the "T" character to be replaced by a
" "... |
import encodedecode as ed
import registers as registers
import execution as execution
import shareddata as globl
def jmpf(params):
distance = [params[1], params[2], params]
distance = ed.decode(distance)
if globl.mode == globl.modes.bootloader:
globl.bootl += distance
elif globl.mode == globl.modes.rom:
globl... |
###############################
#
# Created by Patrik Valkovic
# 3/9/2021
#
###############################
import unittest
import ffeat
class NormalizedPipeTest(unittest.TestCase):
def test_valid(self):
n = ffeat.NormalizedPipe()
param = (1,3,8), {"something": True}
result = n(param)
... |
import json
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import status
from multapp.utility.notification import SendMailNotifications
class NotificationServicesRest(APIView):
name = 'notification_service'
'''
{
"mail_list": ["m... |
from torch import nn
import torchvision.models as models
from typeguard import typechecked
@typechecked
class ResNet(nn.Module):
def __init__(self, encoder_name: str, pretrained: bool = False):
"""
:param encoder_name:
:param pretrained:
"""
super(ResNet, self).__init__()
... |
"""
Base da API
"""
from flask import Flask, jsonify
from flask_cors import CORS
from sqlalchemy import create_engine
import pandas as pd
app = Flask(__name__)
CORS(app)
engine = create_engine('postgresql://equipe215:ZXF1aXBlMjE1QHNlcnBybw@bd.inova.serpro.gov.br:5432/equipe215')
with engine.connect() as connectio... |
import requests
SMMS_URL = "https://sm.ms/api/upload"
def upload_smms(path, upload_name):
smfile = {'smfile': open(path, 'rb')}
r = requests.post(SMMS_URL, files=smfile)
result = r.json()
if result['code'] == 'success':
url = result['data']['url']
delete = result['data']['delete']
... |
import numpy as np
import pandas as pd
from patsy import dmatrices
import warnings
def sigmoid(x):
'''SIGMOID FUNCTION FOR X'''
return 1/(1+np.exp(-x))
## Algorith settings
np.random.seed(0) # set the seed
tol=1e-8 # convergence tolerance
lam = None # l2 - regularization
max_iter = 20 # maximum allowed iter... |
from typing import Callable, Dict, Optional, List
import logging
import torch
import matplotlib as mpl
from .subscriber import LoggerSubscriber
def get_type(value):
if isinstance(value, torch.nn.Module):
return LoggerObserver.TORCH_MODULE
if isinstance(value, mpl.figure.Figure):
return LoggerOb... |
from pathlib import Path
import pytest
@pytest.fixture()
def html_file():
return Path(__file__).parent / "assets" / "index.html"
|
"""
출처: https://www.hackerrank.com/challenges/coin-change/problem
"""
def getWay(n, c):
n_perms = [1] + [0] * n
for coin in c:
print("coin", coin)
for i in range(coin, n + 1):
print("i", i)
n_perms[i] += n_perms[i - coin]
return n_perms
if __name__ == '__main__':
... |
import random
letter = ['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','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']
number = ['0','1','2','3','4','5','6','7','8','9']
symbol = ['!','@','#','$','%','... |
from .process_tables import *
|
from pydantic import BaseModel
from typing import List
from app.api.schemas.pagination import PaginatedModel
class GroupUserBase(BaseModel):
group_id: int
class GroupUserCreate(GroupUserBase):
user_id: int
class GroupUserAddOrRemove(BaseModel):
user_id: int
class GroupUser(GroupUserCreate):
id:... |
from fabric.api import *
from fabric.contrib.files import *
# Custom Code Enigma modules
import common.ConfigFile
import common.Services
import common.Utils
import common.PHP
import AdjustConfiguration
import Drupal
import DrupalUtils
# Override the shell env variable in Fabric, so that we don't see
# pesky 'stdin i... |
import math
import torch
import torch.nn as nn
from torch.nn.init import _calculate_fan_in_and_fan_out, calculate_gain
def MSRInitializer(Alpha=0, WeightScale=1):
def Initializer(Tensor):
_, fan_out = _calculate_fan_in_and_fan_out(Tensor)
gain = calculate_gain('leaky_relu', Alpha)
std = gai... |
import music21
from mirdata.annotations import KeyData, ChordData
from mirdata.datasets import haydn_op20
from tests.test_utils import run_track_tests
import numpy as np
def test_track():
default_trackid = "0"
data_home = "tests/resources/mir_datasets/haydn_op20"
dataset = haydn_op20.Dataset(data_home)
... |
import json
class TestQuestionnaireResourceEndpoints:
def test_valid_questionnaire_submision(
self, client, logged_in_user_token, setup_plans
):
""" Test for questionnaira submission with valid data """
response = client.post(
"/api/v1/questionnaire/process",
da... |
#!/usr/bin/env python
import rospy
import actionlib
from move_base_msgs.msg import MoveBaseAction, MoveBaseGoal
from sensor_msgs.msg import Joy
from geometry_msgs.msg import Twist
from ar_track_alvar_msgs.msg import AlvarMarkers
from nav_msgs.msg import Odometry
from ros_numpy import numpify
from tf.transformations imp... |
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
# Set random seed for reproducibility
np.random.seed(1000)
Nsamples = 10000
def X1_sample():
return np.random.normal(0.1, 2.0)
def X2_sample(x1):
return np.random.normal(x1, 0.5 + np.sqrt(np.abs(x1)))
if __name__ == '__main__':
... |
"""
## Twitter Celebrity Matcher
This is a standalone script that scrapes tweets based on a given Twitter handle
Author: [Ahmed Shahriar Sakib](https://www.linkedin.com/in/ahmedshahriar)
Source: [Github](https://github.com/ahmedshahriar/TwitterCelebrityMatcher)
"""
import tweepy
import pandas as pd
import schedule
im... |
text = "Lorem ipsum dolor sit amet, calis de tabarnak d'osti de criss de sacréfils de siboire de calaille d'incompétent de calis."
saveFile = open("createdFiles/Lorem ipsum 2.0.txt", "w")
saveFile.write(text)
saveFile.close() |
#!/usr/bin/env python
import os
import sys
from optparse import OptionParser
INDENTCOUNT = 4
INDENTCHAR = ' '
parser = OptionParser()
parser.add_option('-a', '--app', dest='app', help='The app which contains the model.')
parser.add_option('-m', '--model', dest='model', help='The model to produce the Form for.')
parse... |
# -*- coding: utf-8 -*-
from .fields import ImportPathField
__all__ = ['ImportPathField']
|
#
# This file is part of pysnmp software.
#
# Copyright (c) 2005-2018, Ilya Etingof <etingof@gmail.com>
# License: http://snmplabs.com/pysnmp/license.html
#
# PySNMP MIB module PYSNMP-MIB (http://snmplabs.com/pysnmp)
# ASN.1 source http://mibs.snmplabs.com:80/asn1/PYSNMP-MIB
# Produced by pysmi-0.1.3 at Mon Apr 17 11:4... |
from typing import Optional
from aioros_action import ActionClient
from aioros_action import create_client
from aioros import NodeHandle
from aioros_tf2.abc import BufferInterface
from aioros_tf2.exceptions import ConnectivityException
from aioros_tf2.exceptions import ExtrapolationException
from aioros_tf2.exception... |
import logging
import numpy as np
import matplotlib
matplotlib.use('Agg')
from matplotlib import pyplot as plt
from matplotlib.patches import Rectangle
logger = logging.getLogger()
from activeClassifier.visualisation.base import Visualiser, visualisation_level
from activeClassifier.tools.utility import softmax
# ann... |
import torch
import torch.nn as nn
from core.taming.utils import Normalize, nonlinearity
class ResnetBlock(nn.Module):
def __init__(self, *, in_channels, out_channels=None, conv_shortcut=False,
dropout, temb_channels=512):
super().__init__()
self.in_channels = in_channels
... |
import os
import git
import click
import json
import string
import random
import pickle
from pathlib import Path
import shutil
from subprocess import STDOUT, check_call
import sys
def load_config():
"""
Load configuration class. If not configured before
create a new one and save as pickle in hom... |
from facepy.exceptions import FacepyError
from facepy.graph_api import GraphAPI
from facepy.signed_request import SignedRequest
from facepy.utils import get_application_access_token, get_extended_access_token
__all__ = [
'FacepyError',
'GraphAPI',
'SignedRequest',
'get_application_access_token',
'g... |
"""Added RandomTable
Revision ID: 183d3f0348eb
Revises: 51f5ccfba190
Create Date: 2017-11-28 11:43:16.511000
"""
# revision identifiers, used by Alembic.
revision = '183d3f0348eb'
down_revision = '2356a38169ea'
from alembic import op
import sqlalchemy as sa
def upgrade():
# ### commands auto generated by Alem... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('lexicon', '0109_nexusexport__exportbeauti'),
]
operations = [
migrations.AddField(
model_name='language',
... |
"""Atomic append of gzipped data.
The point is - if several gzip streams are concatenated,
they are read back as one whole stream.
"""
import gzip
import io
__all__ = ('gzip_append',)
def gzip_append(filename: str, data: bytes, level: int = 6) -> None:
"""Append a block of data to file with safety checks."""
... |
"""
Copyright (C) 2019 by
The Salk Institute for Biological Studies and
Pittsburgh Supercomputing Center, Carnegie Mellon University
Use of this source code is governed by an MIT-style
license that can be found in the LICENSE file or at
https://opensource.org/licenses/MIT.
"""
# NOTE: usage of some a git library was ... |
from collections import Counter
import numpy as np
VOWELS = [ord(c) for c in "AEIOU"]
def duplicate_items(l):
return [x for x, count in Counter(l).items() if count > 1]
def duplicate_items_order(l):
total = 0
for i in range(len(l) - 1):
if l[i] == l[i + 1]:
total += i
return to... |
# Copyright 2019 The FastEstimator Authors. All Rights Reserved.
#
# 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 appl... |
from django.core.validators import MinLengthValidator
from django.db import models
class About(models.Model):
first_name = models.CharField(max_length=100, validators=[MinLengthValidator(2)])
last_name = models.CharField(max_length=100, validators=[MinLengthValidator(2)])
place = models.CharField(max_len... |
import numpy as np
import nltk
from nltk.tokenize import word_tokenize # using sent_tokenize won't work
from nltk.corpus import stopwords
from nltk.stem import PorterStemmer
def preprocess(file_name):
file = open(file_name,"r")
if file.mode == 'r':
content = file.read()
sentences = content.split... |
from __future__ import unicode_literals
import os
import fcntl
import select
import signal
import errno
from codecs import getincrementaldecoder
from ..terminal.vt100_input import InputStream
from .base import BaseEventLoop
__all__ = (
'PosixEventLoop',
'call_on_sigwinch',
)
class PosixEventLoop(BaseEventL... |
from machine import ADC , Pin
from Blocky.Pin import getPin
class WaterSensor :
def __init__ (self , port , sensitivity = 4):
if (getPin(port)[2] == None):
from machine import reset
reset()
self.adc = ADC(getPin[2])
if (sensitivity == 1) self.adc.atten(ADC.ATTN0_DB)
elif (sensitivity == 2) self.adc.atte... |
import pandas as pd
import numpy as np
import scipy
import scipy.stats as stats
import pylab
import sklearn.feature_selection as sk
from sklearn.linear_model import LogisticRegression, LinearRegression
from sklearn.ensemble import RandomForestClassifier
from sklearn.ensemble import BaggingClassifier
from sklearn.multi... |
from marshmallow import Schema, validate, validates_schema, ValidationError
from marshmallow.fields import String
from app.users.documents import User
BaseUserSchema = User.schema.as_marshmallow_schema()
class CreateUserSchema(BaseUserSchema):
id = String(
dump_only=True,
description='Unique do... |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import math
#plt.scatter(x,y,alpha=0.3)
#df.drop(df.columns[[0, 2]], axis='columns')
def borrar(data):
for iterable in range(99,data.shape[0]):
data.drop([iterable], inplace=True)
class regresion_logistica():
def __init__(self)... |
# -*- coding: utf-8 -*-
start_time = "2018-06-01 00:00:00"
end_time = "2018-07-01 00:00:00"
contributors_id = ()
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Common utility functions
Created on Sun May 27 16:37:42 2018
@author: chen
"""
import math
import cv2
import os
from imutils import paths
import numpy as np
import scipy.ndimage
def rotate_cooridinate(cooridinate_og,rotate_angle,rotate_center):
"""
calculat... |
# CRISP-DM Python template, main
#import logging
import load
#import Model.svm.model as svmimport imp
import cDataPreparation.dataCleaning.cleaningFunctions as clean
import cDataPreparation.dataConstruction.constructFunctions as construct
from sklearn.datasets import fetch_20newsgroups
#import DataPreparation.integra... |
from .core import Field
from .core import FieldDescriptor
from .core import FieldGroup
from .core import SimpleField
from .core.enums import ValueStatus, FieldKind, IsbnType, PublicationType
class IsbnField(Field):
def __init__(self,
document,
name):
super(IsbnField, self... |
from django.contrib.auth import models
import factory
from faker import Faker
fake = Faker()
class UserFactory(factory.django.DjangoModelFactory):
username = fake.user_name()
email = fake.email()
first_name = fake.first_name()
last_name = fake.last_name()
class Meta:
model = models.Use... |
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