content stringlengths 5 1.05M |
|---|
from pyspark.sql import SparkSession
spark = SparkSession \
.builder \
.appName("Python Spark SQL basic example") \
.config("saprk.come.config.option", "som-value") \
.getOrCreate()
df = spark.read.csv('mtcars.csv', header=True)
df = df.withColumnRenamed("_c0", "car")
df.printSchema()
df.count()
df.s... |
import shutil
from bs4 import BeautifulSoup
import os
import random
import time
import tempfile
from flask import Flask, request, render_template, session, jsonify
from werkzeug.utils import secure_filename
import requests
app = Flask(__name__)
rust_template = """
#![allow(warnings, unused)]
use std::collections::Ha... |
# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
import logging
import re
from gidgethub import sansio
# View handler functions
import spackbot.handlers as handlers
impo... |
from account.models import User
from rest_framework import serializers
class UserListSerializer(serializers.ModelSerializer):
"""用户列表序列化器"""
class Meta:
model = User
fields = ['id', 'name', 'cn_name', 'name', 'avatar', 'wx', 'mobile']
|
def gen_sine_wave(n=1000, s=1, amp=1, wl=1, ns_mean=0, ns_var=1, x_range=(0,1), r_rad=0, swap_axis=False):
# n - number of points to generate
# s - slope gradient of wave
# amp - amplitude of wave
# wl - wavelength equivalent parameter
# ns_mean, ns_var - noise mean and variance
x = np.random.ra... |
#!/usr/bin/env python2
while True:
p,q = (int(x) for x in raw_input().split())
if p == 0 == q:
break
res = []
op,oq = p,q
while True:
if p % q == 0:
res.extend([p//q-1, 1])
break
res.append(p//q)
p,q = q,p%q
print "{}/{}=[{}]".format(op,oq... |
import time
import pytest
from redisolar.dao.base import RateLimitExceededException
from redisolar.dao.redis.sliding_window_rate_limiter import SlidingWindowRateLimiter
TEN_SECONDS = 10 * 1000
# Challenge #7
#@pytest.mark.skip("Remove for challenge #7")
def test_within_limit_inside_window(redis, key_schema):
ex... |
import sys
from tkinter import *
makemodal = (len(sys.argv) > 1)
def dialog():
win = Toplevel() # make a new window
Label(win, text='Hard drive reformatted!').pack() # add a few widgets
Button(win, text='OK', command=win.destroy).pack() # set destroy callback
if... |
from typing import Hashable
from enum import Enum
from typing import List, Set
import numpy as np
class VariableType(Enum):
Pose = "Pose"
Landmark = "Landmark"
Measurement = "Measurement"
class Variable(object):
def __init__(self, name: Hashable, dim: int,
variable_typ... |
import uuid
from django.contrib.auth import authenticate, login
from django.contrib.auth.models import User
from django.shortcuts import get_object_or_404
from rest_framework import status
from rest_framework.authtoken.models import Token
from rest_framework.permissions import AllowAny
from rest_framework.response imp... |
"""
============================
Data set of recurrence plots
============================
A recurrence plot is an image obtained from a time series, representing the
pairwise Euclidean distances for each value (and more generally for each
trajectory) in the time series.
The image can be binarized using a threshold.
I... |
# Copyright (c) 2019-2020, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditi... |
import sys
if len(sys.argv) == 3:
print ('You typed in 2:{} 1:{}'.format(sys.argv[2], sys.argv[1]))
else:
print ('invalid number of args. argv=[{}]'.format(str(sys.argv))) |
import plotly.graph_objects as go
graph = go.Figure(data=go.Bar(y=[5, 4, 2, 8, 9])) # bar => balkendiagramm
graph.write_html("test.html", auto_open=True)
|
# -*- test-case-name: axiom.test.test_upgrading.PathUpgrade.testUpgradePath -*-
from axiom.attributes import path
from axiom.item import Item
class Path(Item):
schemaVersion = 1
typeName = 'test_upgrade_path'
thePath = path()
|
from os.path import join as pjoin
import tensorflow as tf
from tensorflow import logging
class RunHook(tf.train.SessionRunHook):
"""
interleave train and eval, periodly save summary
"""
def __init__(self,
iter_dict,
eval_steps,
train_op,
training,
holder_handle,
summary_conf,
summa... |
from coati.win32 import copy, execute_commandbar
from coati import utils, excel, powerpoint
import time
import logging
import re
import abc
class AbstractResource():
__metaclass__ = abc.ABCMeta
@abc.abstractmethod
def merge(self, slide):
pass
class Chart(AbstractResource):
def __init__(self... |
import httpx
from retrying import retry
from bs4 import BeautifulSoup
from nonebot import MessageSegment
import config
@retry(stop_max_attempt_number=5)
async def search_color(image_url: str) -> str:
"""ascii2d的色合搜索
Args:
image_url (str): 图片的地址
Returns:
str: 处理好可以直接发送的文本
"""
ur... |
import json
from collections import defaultdict
from functools import lru_cache
from itertools import cycle
from pathlib import Path
import os
import sys
import requests
moon = cycle('🌑🌒🌓🌔🌕🌖🌗🌘')
def parse_int(s):
try:
return int(s)
except ValueError as e:
return -1
def get_wd_id(s)... |
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import pandas as pd
import sklearn
import seaborn as sns
import matplotlib.pyplot as plt
from matplotlib import animation
job= np.asarray(pd.read_csv('job.csv'))[:,1:]
y_train= np.asarray(pd.read_csv('y_train.csv'))[:,1:].reshape(-1,)
fig = plt.figure(figsize=... |
from .base import *
import os
import django_heroku
DEBUG = False
#SECRET_KEY = os.getenv('7_a%kahpfd^nv$5^((5^_cad%cg^pne36ye+r5=!k+$*!!-b)b')
ALLOWED_HOSTS = os.getenv('ALLOWED_HOSTS', '').split(',')
django_heroku.settings(locals()) |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Setup script for PyPI; use CMakeFile.txt to build extension modules
import contextlib
import os
import re
import shutil
import string
import subprocess
import sys
import tempfile
import io
import setuptools.command.sdist
DIR = os.path.abspath(os.path.dirname(__file__)... |
from pprint import pprint
from numpy import array, dot, linalg
def g(x1, x2):
g_1 = x1 * x1 - 3 * x2 * x2 + 5
g_2 = x1 * x1 + 2 * x2 * x2 - 5
return array([g_1, g_2])
def g_(x1, x2):
g_11 = 2 * x1
g_12 = -6 * x2
g_21 = 2 * x1
g_22 = 4 * x2
return array([[g_11, g_12], [g_21, g_22]])
... |
from typing import Optional
import itertools
with open("day_04/input.txt") as file:
INPUT = [int(num) for num in file.readline().split(",")]
# Consume the empty line
file.readline()
BOARDS = [
[[int(n) for n in line.split()] for line in board.split("\n")]
for board in file.read().spl... |
import pytest
from organize.constants import ON_HOLD
from organize.models import EventApplication, Coorganizer
@pytest.fixture
def base_application():
return EventApplication.objects.create(
date="2080-10-10",
city="London",
country="Country",
latlng='0.0,0.0',
main_organi... |
import typer
app = typer.Typer()
@app.command()
def create(user_name: str):
typer.echo(f"Creating user: {user_name}")
@app.command()
def delete(user_name: str):
typer.echo(f"Deleting user: {user_name}")
if __name__ == "__main__":
app()
|
"""
Best Approximations
""" |
# Copyright 2012 OpenStack Foundation
# 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 requ... |
from .instance import BlockchainInstance
from .asset import Asset
from .amount import Amount
from bitsharesbase.operations import (
Operation
)
from graphenebase.types import Array
class OperationsFee(list):
""" Obtain the fee associated with an actual operation
:param list operations: list of operat... |
# Faça um Programa que peça os 3 lados de um triângulo.
# O programa deverá informar se os valores podem ser um triângulo.
# Indique, caso os lados formem um triângulo, se o mesmo é: equilátero, isósceles ou escaleno.
lado_a = int(input('informe o tamanho do lado do triangulo: '))
lado_b = int(input('informe o taman... |
import requests
import os
from colorama import Fore, Style
def dirbrute():
print('')
print(Fore.GREEN + "[INFO]" + Style.RESET_ALL + " Make sure you do not add Backslash(/) after the URL, Your URL should be : http://example.com or https://example.com")
print('')
dirb = input(Fore.CYAN + "[DIR-BRUTE]" +... |
from ttp import ttp
import io
import os
import re
from pathlib import Path
import json
# dirname = os.path.dirname(__file__)
# abspath = os.path.abspath(__file__)
# log_file = os.path.abspath(__file__ + "/../../logs/log_file.log")
def ios_to_meraki(serial_numbers, USER):
dirname = os.path.dirname(__file__)
... |
"""
扩展性系统性能
- 垂直扩展 - 增加单节点处理能力
- 水平扩展 - 将单节点变成多节点（读写分离/分布式集群）
并发编程 - 加速程序执行 / 改善用户体验
耗时间的任务都尽可能独立的执行，不要阻塞代码的其他部分
- 多线程
1. 创建Thread对象指定target和args属性并通过start方法启动线程
2. 继承Thread类并重写run方法来定义线程执行的任务
3. 创建线程池对象ThreadPoolExecutor并通过submit来提交要执行的任务
第3种方式可以通过Future对象的result方法在将来获得线程的执行结果
也可以通过done方法判定线程是否执行结束
- 多进程
- 异步I/O
"""
... |
import tfchain.tests.types.types as tftypes
import tfchain.tests.types.fullfillments as tffullfillments
import tfchain.tests.types.conditiontypes as tfconditiontypes
import tfchain.tests.types.transactions as tftransactions
def tests():
tftypes.tests()
tffullfillments.tests()
tfconditiontypes.tests()
t... |
# -*- coding: utf-8 -*-
import logging
from pathlib import Path
from django.conf import settings
from django.contrib.auth.models import User
from django.contrib.contenttypes.models import ContentType
from django.core.files.storage import FileSystemStorage
from django.db import models
from django.db.models import Q
fro... |
"""
Copyright 2021 Inmanta
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 agreed to in ... |
# Copyright (c) 2021, CRS4
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation the rights to
# use, copy, modify, merge, publish, distribu... |
import copy
import functools
from gettext import gettext as _
from .base import ErrorMessageMixin
from .exceptions import BaseValidationException, InvalidDataException, NoData
from .fields import Field
def partition_dict(d, pred, dict_class=dict):
"""
Split a dict in two based on a predicate. ``d`` is a dict... |
from .classifier import *
from .knn import *
from .svm import *
from .perceptron import *
from .naive_bayes import *
from .linear_machines import *
from .bla import * |
# Copyright 2015 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""An interface for holding state and result of revisions in a bisect job.
When implementing support for tests other than perf, one should extend this
class... |
#
# Copyright (c) 2019-2020 LG Electronics, Inc.
#
# This software contains code licensed as described in LICENSE.
#
from .geometry import Vector, Transform, BoundingBox
from .sensor import Sensor
from .utils import accepts, ObjectState as AgentState
from enum import Enum
from collections.abc import Iterable, Callabl... |
import csv
import os
election_csv = os.path.join("PyPoll", "election_data.csv")
analysis_output = os.path.join("PyPoll", "election_analysis.txt")
voter_id = []
candidates = []
candidate_number = {}
winner_vote = 0
results = []
with open(election_csv) as file_in:
csvreader = csv.DictReader(file_in)
for row in ... |
__version__ = '0.0.1'
default_app_config = 'locations_jp.apps.AppConfig'
|
from os import path
from subprocess import check_output, PIPE
from sys import stderr
from yaml import safe_load, dump
CONFIG_FILENAME = ".clang-format"
def make_default_config(command, style):
args = [command, "-dump-config"] + ["-style={}".format(style)] if style else []
config_buffer = check_output(args, ... |
import builtins
from larval_gonad.mock import MockSnake
from larval_gonad.config import read_config
builtins.snakemake = MockSnake(
input="../../output/paper_submission/fig1_data_avg_tpm_per_chrom.feather",
params=dict(colors=read_config("../../config/colors.yaml")),
)
|
from typing import List
from fastapi import APIRouter, Depends
from database.config import get_db
from schemas.car import Model
from services.car import ModelService
router = APIRouter()
@router.get("/get-models", response_model=List[Model])
async def get_models(brand_id: int, db=Depends(get_db)):
brands = awa... |
# Setup TensorBoardX summary writer.
import os
import pickle
from datetime import datetime
import threading
HAS_TB = True
HAS_GS_ENNV = True
HAS_NOTI = True
# It's not a major libraries that are in anaconda, so I will check them for you.
try:
from tensorboardX import SummaryWriter
except Exception as e:
#impo... |
"""Production settings."""
from .base import * # NOQA
from .base import env
# Base
SECRET_KEY = env('DJANGO_SECRET_KEY')
ALLOWED_HOSTS = env.list('DJANGO_ALLOWED_HOSTS', default=['{{ cookiecutter.domain }}'])
# Databases
DATABASES['default'] = env.db('DATABASE_URL') # NOQA
DATABASES['default']['ATOMIC_R... |
import dataclasses
import unittest
from unittest import mock
from pygame import Surface
from ppb import GameEngine, BaseScene, Vector
from ppb import events
from ppb.systems import System
from ppb.systems import Updater
from ppb.testutils import Failer
from ppb.testutils import Quitter
CONTINUE = True
STOP = False
... |
# vim: sw=4:ts=4:et
import json
import logging
import time
import saq
from saq.analysis import _JSONEncoder
from saq.database import enable_cached_db_connections
from flask import Flask, make_response, abort, Response, request
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy import event
from sqlalchemy.engi... |
# -*- coding:utf-8 -*-
from __future__ import unicode_literals
from django.utils.translation import ugettext_lazy as _
from yepes.apps import OverridableConfig
class ThumbnailsConfig(OverridableConfig):
name = 'yepes.contrib.thumbnails'
verbose_name = _('Thumbnails')
|
import os
import sys
sys.path.append("../")
from cycles import script_A, script_B, script_C
def finding_F(t, m, L, gamma):
val = 0
for k in range(1, m+2) :
val += (L - k + 1) * F_1(t, k, m, L, gamma)
return val
def F_1(t, k, m, L, gamma) :
return_val = 0
if k == 1 :
for i1 in range(0, (m + 1) * gamma) :
... |
import os.path
import sys
import random
import numpy as np
from glob import glob
from natsort import natsorted
import argparse
from tensorflow.keras.models import load_model
from attacklib import *
from numpy.linalg import norm
import tensorflow as tf
import pdb
def distance(v, u):
return norm(v-u)
def parse_args(... |
import os
import re
import shutil
import siliconcompiler
####################################################################
# Make Docs
####################################################################
def make_docs():
'''
Magic is a chip layout viewer, editor, and circuit verifier with
built in DRC a... |
import pytest
import numpy as np
import ropy.ignition as ign
@pytest.mark.parametrize(
"point_in, fov, im_shape, point_out",
[
((1, 0, 0), np.pi / 3, (240, 320), (120, 160)),
((3.5, 0, 0), np.pi / 2, (240, 320), (120, 160)),
((1, 0, 0), 1.5 * np.pi, (480, 640), (240, 320)),
((... |
import torch.nn as nn
from abc import ABCMeta, abstractmethod
class Model(nn.Module, metaclass=ABCMeta):
@abstractmethod
def loss(self):
pass
|
# -*- coding: utf-8 -*-
import pytest
import rolex
import random
import mongomock
from datetime import datetime
from crawlib2 import Status
from crawlib2.entity.mongodb import query_builder
@pytest.fixture
def col():
client = mongomock.MongoClient()
db = client["test"]
col = db["test_col"]
return col... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.tensorboard import SummaryWriter
import torchvision.utils as vutils
import os
class Logger:
def __init__(self, proc_id, log_dir=".", device="cuda"):
self.proc_id = proc_id
if proc_id != 0:
return
... |
import fnmatch
import os
import shutil
import tarfile
from multiprocessing.pool import ThreadPool
from random import random
from time import time
from typing import List, Optional
from zipfile import ZipFile
from pathlib2 import Path
from .cache import CacheManager
from .helper import StorageHelper
from .util import ... |
"""
Optuna example that optimizes a simple function with Hydra.
In this example, we optimize a simple function with hydra's sweeper.
You can run this example code as follows:
python simple.py --multirun
The optimization results in `multirun/` directory,
for example `multirun/2021-01-31/19-26-39/optimization_res... |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.7 on 2017-08-03 14:03
from __future__ import unicode_literals
import datetime
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
import model_utils.fields
class Migration(migrations... |
import logging
import re
import os
from contextlib import contextmanager
from queue import Queue
from threading import Thread
from typing import ContextManager, Iterable, Iterator, Optional
import tensorflow as tf
from tf_bodypix.utils.image import resize_image_to, ImageSize, ImageArray
from tf_bodypix.utils.io impor... |
from database import Database
from flask import Flask, g, render_template
app = Flask(__name__)
def get_db():
db = getattr(g, '_database', None)
if db is None:
g._database = Database()
return g._database
@app.teardown_appcontext
def close_connection(exception):
db = getattr(g, '_database', No... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import simplejson as json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
class AntMerchantExpandTradeorderRefundResponse(AlipayResponse):
def __init__(self):
super(AntMerchantExpandTradeorderRefundResponse, self).__init__()
self._b... |
#!/usr/bin/env python
# -*- encoding: utf-8 -*-
# Created on 2017-09-11 02:55:43
# Project: TapTap
from pyspider.libs.base_handler import *
DIR_PATH = '/home/xgame/Pictures/TapTap'
PAGE_START = 1
PAGE_NUM = 30
GAME_TYPE = ['android_hot', 'ios_hot', 'new_hot', 'reserve', 'played']
PAGE_END = 15
class Handler(BaseHand... |
# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Re-export the parent _cext so that every level of the API can get it locally.
from .. import _cext
|
# Copyright (C) 2010-2011 Richard Lincoln
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to
# deal in the Software without restriction, including without limitation the
# rights to use, copy, modify, merge, publish... |
import os
import unittest
from unittest import (
mock,
)
from minos.common import (
MinosConfig,
)
from tests.utils import (
BASE_PATH,
)
class TestMinosConfigWithEnvironment(unittest.TestCase):
def setUp(self) -> None:
self.config_file_path = BASE_PATH / "test_config.yml"
self.config... |
special.nctdtr(df, nc, t) |
import re
def encrypt_data(string):
string = string.decode("string_escape")
transl = {
'70' : '6g',
'60' : '5g',
'50' : '4g',
'40' : '3g',
'30' : '2g',
'a' : ':'
}
tmp_lst = map(lambda x: chr(ord(x) + 1).encode("hex"), st... |
# Generated by Django 3.2.5 on 2021-08-08 12:14
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... |
import os
from multiprocessing.pool import Pool
from PIL import Image
def is_grayscale(fn):
img = Image.open(fn).convert('RGB')
w, h = img.size
for i in range(w):
for j in range(h):
r, g, b = img.getpixel((i, j))
if r != g != b:
return False
return Tr... |
from typing import Callable
from fastapi import FastAPI
from ..db.events import (
init_db,
close_db
)
from ..services.mail.events import init_mail_sender
__all__ = [
'get_startup_handler',
'get_shutdown_handler'
]
def get_startup_handler(app: FastAPI) -> Callable:
async def start_app() -> None... |
from django.contrib import admin
from app1.models import Kitap,Yazar
admin.site.register(Kitap)
admin.site.register(Yazar) |
import json
def check_in_bounds(limits, val):
if val is not None:
if val >= limits['min'] and val <= limits['max']:
return True
return False
def check_postures_in_bounds(posture_limits, posture):
is_body_angle_in_bound = True
is_left_arm_angle_in_bound = True
is_right_arm_angl... |
# Generated by Django 3.2 on 2021-09-17 10:12
import datetime
from django.db import migrations, models
import django_mysql.models
class Migration(migrations.Migration):
dependencies = [
("greencheck", "0017_create_dailystat"),
]
operations = [
migrations.AlterField(
model_na... |
import torch
import torch.nn as nn
import torch.nn.functional as F
class SparseDropout(nn.Module):
def __init__(self, p=0.5):
super().__init__()
self.p = p
def forward(self, x):
x_coal = x.coalesce()
drop_val = F.dropout(x_coal._values(), self.p, self.training)
... |
import numpy as np
import matplotlib.pyplot as plt
from Berthing_Simulator_PythonCode.Berthing_Simulator_rev04 import BerthingSimulator
# Initial setting
# =====================================================
L = 175 # [m]
d = 8.5 # [m]
B = 25.4 # [m]
C_b = 0.559
m = (L * B * d) * C_b * 1024 # [kg]
x_G... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from .flow import Flow, FlowParams
eps = 0.000001
class PlanarFlowParams(nn.Module, FlowParams):
def __init__(self, dim: int, positive_func: str) -> None:
super(PlanarFlowParams, self).__init__()
# w components are summed inside t... |
import requests
import rsa
import time
import re
import random
import urllib3
import base64
from urllib.parse import quote
from binascii import b2a_hex
urllib3.disable_warnings() # 取消警告
def get_timestamp():
return int(time.time()*1000) # 获取13位时间戳
class WeiBo():
def __init__(self,username,password):
s... |
import cv2
cap = cv2.VideoCapture(0, cv2.CAP_DSHOW)
# Haar trained model on frontal faces only; leveraging OpenCV's property to access the classifier
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
while(True):
ret, frame = cap.read() # read frame by frame
#... |
import numpy as np
from imblearn.under_sampling import RandomUnderSampler
class DateBasedCV:
"""
CustomCV handles train, test splits for the ML pipeline
based on date. Additionally, it maintains the skew of the whole dataset
in each validation fold like stratified K-folds CV.
Attributes:
... |
from client import DiscorGttsClient
from prompt_toolkit import prompt
from time import sleep
client = DiscorGttsClient('0.0.0.0', 6666)
while True:
try:
message = prompt(':>')
client.send_voice_msg(message)
except AssertionError:
pass
|
# -*- coding: utf-8 -*-
# @Author: Cody Kochmann
# @Date: 2018-02-17 10:42:02
# @Last Modified by: Cody Kochmann
# @Last Modified time: 2018-02-17 10:59:27
from itertools import islice
def first(pipe, items=1):
''' first is essentially the next() function except it's second argument
determines how man... |
"""Customizable tags for units
"""
from enum import Enum
import suss.gui.config as config
class ClusterTag(Enum):
SINGLEUNIT = 1
MULTIUNIT = 2
NOISY = 3
STAR = 4
AUDITORY = 5
NONAUDITORY = 6
UserTag = Enum("UserTag", " ".join(config.USERS), module=__name__)
|
from fetcher.utils import map_attributes
def collect_attributes(attributes, mapping, field, value, debug_state=None):
collected = {x['attributes'][field]: x['attributes'][value] for x in attributes}
return map_attributes(collected, mapping, debug_state)
def handle_ak(res, mapping):
# collect values
... |
# -*- coding: utf-8 -*-
# Copyright 2015 Pietro Brunetti <pietro.brunetti@itb.cnr.it>
#
# 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.... |
import os, sys
from opt import get_opts
import torch
from collections import defaultdict
import wandb
from torch.utils.data import DataLoader
from datasets import dataset_dict
from eval import eval
from rich import print
from rich import pretty
pretty.install()
from rich import traceback
traceback.install()
# models
... |
import matplotlib.pyplot as plt
import numpy as np
def comparison_result(x, y_set, labels, title, filename):
plt.figure(figsize=(16,9))
for i in range(len(y_set)):
plt.plot(x, y_set[i], 'o-', linewidth=3, markersize=8, label=labels[i])
# y_square = (x ** 2) * np.log(x) / 100000000
# y_c... |
import os.path
from pathlib import Path
from kivy.properties import ListProperty, ObjectProperty, DictProperty
from kivy.uix.button import Button
from plyer import filechooser
from kv_classes.localization import _
class FileChoose(Button):
'''
Button that triggers 'filechooser.open_file()' and processes
... |
from django.conf.urls import url
from rest_framework.routers import DefaultRouter
from rest_framework.urlpatterns import format_suffix_patterns
from apps.vadmin.celery.views import IntervalScheduleModelViewSet, CrontabScheduleModelViewSet, PeriodicTaskModelViewSet, TasksAsChoices, \
OperateCeleryTask
router = Def... |
"""pytest tests for mytoyota.client.MyT using the online services"""
import asyncio
import pytest # pylint: disable=import-error
from mytoyota.client import MyT
from mytoyota.exceptions import ToyotaLoginError
# pylint: disable=no-self-use
class TestMyTOnline:
"""pytest functions to test MyT using the online... |
#------------------------------------------------------------------------------
# Copyright (c) 2013-2019, Nucleic Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file LICENSE, distributed with this software.
#------------------------------------------------... |
def test_rest(make):
assert make('$(call rest,1 2 3 4)') == '2 3 4'
assert make('$(call rest,1)') == ''
assert make('$(call rest,)') == ''
def test_chop(make):
assert make('$(call chop,1 2 a)') == '1 2'
assert make('$(call chop,1 2 a 4)') == '1 2 a'
assert make('$(call chop,1)') == ''
asser... |
from copy import deepcopy
from driftdetector import SAMPLE_INTERVAL
from driftdetector import Drift
from hoeffdingbound import hoeffding_bound
from rollingmean import RollingMean
from ruletree import RuleTree
from driftdetector import ProSeedDriftAlgorithm
from driftdetector import SeedDriftAlgorithm
BlockCompareConf... |
from ex112.utilidadesCeV import moeda, dado
p = dado.leiadinheiro('Digite o valor R$:')
moeda.resumo(p, 80, 35)
|
"""
--- CRC 计算python代码实现 ---
@来源 https://blog.csdn.net/heathy__/article/details/53007037
@注释 在CSDN用户__BOOM__原创代码的基础之上做的修改
@目标：修改为 CRC_CCIT_X_25 (poly=1021,width=16,init=0xffff,xor=0xffff,refin,refout)
"""
WIDTH = 16
POLYNOMIAL = 0x1021
INITIAL_REMAINDER = 0xFFFF
FINAL_XOR_VALUE = 0xFFFF
REFIN_FLAG = True
REFOUT_... |
from pytest_docs.formatter import Formatter
class RSTFormatter(Formatter):
name = "rst"
marker_prefix = "\n**Markers:**"
@staticmethod
def module_name_format(element):
return "\n{}\n{}".format(element, "*" * len(element))
@staticmethod
def class_name_format(element):
return "... |
# -*- coding: utf-8 -*-
from .chatclient import *
|
import os
import datetime
import jwt
from flask import jsonify, request, make_response, Response, json
from ..models.models import USER_LIST, UserModels
from ..utils.validations import UserValidation
from flask_restful import Resource
time_now = datetime.datetime.now()
class Index(Resource):
""" Resource for inde... |
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