content stringlengths 5 1.05M |
|---|
import discord, random, asyncio, chalk
from discord.ext import commands as client
from Cogs.config import conf
class Start(client.Cog):#does the on_ready stuff
def __init__(self, bot):
self.b = bot
@client.Cog.listener()
async def on_ready(self):
print("\n")
print(chalk.green(f"[S... |
#
# Copyright (c) 2019 Wind River Systems, Inc.
#
# SPDX-License-Identifier: Apache-2.0
#
from oslo_log import log as logging
from sysinv.common import exception
from sysinv.common import utils
from sysinv.helm import common
from sysinv.helm import elastic
LOG = logging.getLogger(__name__)
class ElasticsearchHelm(e... |
from trex_stl_lib.api import *
# send G ARP from many clients
# clients are "00:00:dd:dd:00:01+x", psrc="55.55.1.1+x" DG= self.dg
class STLS1(object):
def __init__ (self):
self.num_clients =3000; # max is 16bit
def create_stream (self):
# Create base packet and pad it to size
bas... |
#!/usr/bin/env python
# encoding: utf-8
"""
@author: zhanghe
@software: PyCharm
@file: run_job_counter_clear.py
@time: 2018-05-02 10:24
"""
import time
import schedule
from apps.client_rk import counter_clear as job_counter_clear
from tools import catch_keyboard_interrupt
# 计数清零
schedule.every().day.at('00:00').do... |
# coding: utf-8
"""
SendinBlue API
SendinBlue provide a RESTFul API that can be used with any languages. With this API, you will be able to : - Manage your campaigns and get the statistics - Manage your contacts - Send transactional Emails and SMS - and much more... You can download our wrappers at h... |
import os
import json
import argparse
import onepanel.core.api
from onepanel.core.api.models.metric import Metric
from onepanel.core.api.rest import ApiException
from onepanel.core.api.models import Parameter
def main(args):
# Load Task A metrics
with open(args.from_file) as f:
metrics = json.load(f)
... |
# -*- encoding:utf-8 -*-
"""
* Copyright (C) 2017 OwnThink.
*
* Name : findword.py - 新词发现
* Author : Yener <yener@ownthink.com>
* Version : 0.01
* Description : 新词发现算法实现
special thanks to
http://www.matrix67.com/blog/archives/5044
https://github.com/zoulala/New_words_find
"""
import re
from ma... |
import os
from approvaltests.core.writer import Writer
class StringWriter(Writer):
contents = ''
def __init__(self, contents, extension='.txt'):
self.contents = contents or ''
self.extension_with_dot = extension
def write_received_file(self, received_file):
self.create_directory... |
# coding=utf-8
# Copyright 2020 The Google Research 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 applicab... |
from dexy.doc import Doc
from tests.utils import TEST_DATA_DIR
from tests.utils import assert_output
from tests.utils import runfilter
from tests.utils import wrap
from nose.exc import SkipTest
import os
import shutil
def test_phantomjs_render_filter():
with runfilter("phrender", "<p>hello</p>") as doc:
as... |
"""
针对FairMOT模型中多个解耦头的实现 一个相对独立的部分 没有做过其它更改
"""
import torch.nn as nn
from ..utils.weights_init import fill_fc_weights
class CommonHead(nn.Module):
"""
公共头部分的实现
"""
def __init__(self, heads, head_conv = 256):
super(CommonHead, self).__init__()
self.heads = heads
s... |
# Obtener el n-número de fibonacci
# Usando ciclos
def fib(n):
x1 = 0
x2 = 1
contador = 3
xn = 0
i = 0
while contador <= n:
print("iteracion: ", i)
i = i + 1
xn = x1 + x2
x1 = x2
x2 = xn
contador = contador + 1
if n == 1:
xn... |
# Generated by Django 2.0.5 on 2018-05-25 03:07
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('child', '0005_auto_20180524_2143'),
]
operations = [
migrations.AlterField(
model_name='medical... |
from .hugo2lunr import main |
from django.urls import include, path
from drf_spectacular.views import (SpectacularAPIView, SpectacularRedocView,
SpectacularSwaggerView)
from talana.apps.api.users import urls as users_urls
app_name = 'api'
urlpatterns = [
path('users/', include(users_urls, namespace='users')... |
"""
Kelly Kapowski algorithm with computing cortical thickness
"""
__all__ = ['kelly_kapowski']
from ..core import ants_image as iio
from .. import utils
def kelly_kapowski(s, g, w, its=45, r=0.025, m=1.5, **kwargs):
"""
Compute cortical thickness using the DiReCT algorithm.
Diffeomorphic registration-... |
from setuptools import setup, find_packages
setup(
name='blockex-tradeapi',
version='1.0.0rc1',
description='Python client library for BlockEx Trade API',
url='',
author='D. Petrov, BlockEx',
author_email='developers@blockex.com',
classifiers=[
'Development Status :: 4 - Beta',
... |
from django import template
from django.utils.safestring import mark_safe
from blog.models import Category, Comment, Article, Tags
# 这里的register不能随便修改
register = template.Library()
@register.simple_tag
def get_category_list(): # 可以定义任意名称函
return Category.objects.all()
@register.simple_tag
def get... |
import csv
with open("Datasets/favorite_colors.csv", "r") as f:
data = csv.DictReader(f)
table = {}
for student in data:
grade = student["grade"]
color = student["favorite_color"]
if grade not in table:
table[grade] = {}
if color not in table[grade]:
t... |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... |
#!/usr/bin/env python
# -*- coding: utf8 -*-
import asyncore
import logging
logging.basicConfig(level=logging.DEBUG,
format='[*] %(name)s - %(funcName)16s - %(message)s')
class EchoHandler(asyncore.dispatcher_with_send):
def __init__(self, _sock=None, _map=None):
self.logger = loggi... |
import math
def euclidean_distance(A, B):
"""
>>> A = (1, 0)
>>> B = (0, 1)
>>> euclidean_distance(A, B)
1.4142135623730951
>>> euclidean_distance((0,0), (1,0))
1.0
>>> euclidean_distance((0,0), (1,1))
1.4142135623730951
>>> euclidean_distance((0,1), (1,1))
1.0
>>> ... |
""" Functions used for Unit Testing our web application """
from django.test import SimpleTestCase, TestCase, Client
from django.template.loader import render_to_string
from app.models import CafeTable, CoffeeUser, Message, Report, Task
client = Client()
class LogInTests(TestCase):
""" Unit tests for login page... |
name = "yalesmartalarmclient"
|
### NLP TOOLBOX LIBRARY ###
# Created by Dmitri Paley
# ~First public version~
# This library was created to make certain deep-learning NLP uses easily accessible and usable by anyone
# The library is made to be easily imported into your Python code and for complex operations to be simply called via a few simple comman... |
'''
Crie uma tupla preenchida com os 20 primeiros colocados da Tabela do Campeonato
Brasileiro de Futebol, na ordem de colocação. Depois mostre:
A) Apenas os 5 primeiros colocados.
B) Os últimos 4 colocados da tabela.
C) Uma lista com os times em ordem alfabética.
D) Em que posição na tabela está o time da Chapecoense.... |
# =============================================================================
# Import OHLCV data and perform basic visualizations
# Author : Mayank Rasu
# Please report bug/issues in the Q&A section
# =============================================================================
# Import necesary libraries
import p... |
from django.contrib.sitemaps import Sitemap
from .models import NursingHome
def update_sitemap(sitemap_dict):
sitemap_dict.update({
'nursinghomes-nursinghome': NursingHomeSitemap,
})
return sitemap_dict
class NursingHomeSitemap(Sitemap):
priority = 0.25
changefreq = 'yearly'
def it... |
#!/usr/bin/env python3
""" Copyright © 2020 Borys Olifirov
Generating PSF estimation by two models,
Richards-Wolf's (PSF library)
and Gibson-Lanni (flowdec library, module gila.py)
"""
import sys
import logging
import numpy as np
import psf
import gila
def psfRiWo(setting, ems=False):
""" Calculate Richards-Wol... |
#!/usr/bin/env python
__author__ = 'Kurt Schwehr'
__version__ = '$Revision: 4799 $'.split()[1]
__revision__ = __version__ # For pylint
__date__ = '$Date: 2006-09-25 11:09:02 -0400 (Mon, 25 Sep 2006) $'.split()[1]
__copyright__ = '2008'
__license__ = 'Apache 2.0'
__doc__ ='''
Output python code for BBM encode a... |
#8.1
def count_words(input_str):
return len(input_str.split())
print(count_words('This is a string'))
#8.2
demo_str = 'Hello world'
print(count_words(demo_str))
#8.3
def find_min(num_list):
min_item = num_list[0]
for num in num_list:
if min_item >= num:
min_item = num
return(min_it... |
import ast
import inspect
import random
import sys
import traceback
import imp
###
from robotexception import *
from settings import settings
import rg
def init_settings(map_file):
global settings
map_data = ast.literal_eval(open(map_file).read())
settings.spawn_coords = map_data['spawn']
settings.obst... |
from itertools import cycle, islice
from functools import partial
from sklearn.preprocessing import StandardScaler
from sklearn import datasets
import torch
import matplotlib.pyplot as plt
from matplotlib.patches import Ellipse
import numpy as np
from hmmlearn.hmm import GaussianHMM
from torchmm.hmm import HiddenMar... |
from decimal import Decimal as D, ROUND_UP
from django.core import exceptions
from django.db import models
from django.utils.translation import gettext_lazy as _
from oscar.apps.offer import utils
from oscar.apps.offer.conditions import (
CountCondition,
CoverageCondition,
ValueCondition,
)
from oscar.core.... |
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
# rpy2
import rpy2.robjects as ro
import seaborn as sns
import textwrap
import traceback
from pathlib import Path
from roses.effect_size import vargha_delaney
# roses
from roses.statistical_test.kruskal_wallis import kruskal_wallis
from ... |
# -*- coding: utf-8 -*-
execfile("initcctbx.py")
# Don't use the installed version
import os, sys
sys.path.insert(1, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from spectrocrunch.materials.compoundfromformula import compoundfromformula
from spectrocrunch.materials.mixture import mixture
from spe... |
import os
import sys
from newspaper import Article
# import common package in parent directory
sys.path.append(os.path.join(os.path.dirname(__file__), '..', 'common'))
sys.path.append(os.path.join(os.path.dirname(__file__), 'scrapers'))
import cnn_news_scraper
from cloudAMQP_client import CloudAMQPClient
DEDUPE_NEW... |
import FWCore.ParameterSet.Config as cms
process = cms.PSet()
process.fwliteInput = cms.PSet(
fileNames = cms.vstring('file:patTuple.root'), ## mandatory
maxEvents = cms.int32(100), ## optional
outputEvery = cms.uint32(10), ## optional
)
proce... |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import FinanceDataReader as fdr
from pykrx import stock
import datetime
import requests
# from datetime import timedelta # 마이크로초 전, 마이크로초 후 를 구하고 싶다면 timedelta
from dateutil.relativedelta import relativedelta # 몇달 전, 몇달 후, 몇년 전, 몇년 후 를 구하고 싶다면 relat... |
"""
See extensive documentation at
https://www.tensorflow.org/get_started/mnist/beginners
"""
# Directives needed by tensorFlow
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# Some misc. libraries that are useful
import keras.backend as K
from keras.mode... |
# 로또의 최고 순위와 최저 순위
def solution(lottos, win_nums):
answer = []
# 0개 1개 ... 6개 동일할 때 등수
rank = [6,6,5,4,3,2,1]
# 당첨번호 카운터
count_lottos = {}
count_win = {}
count = 0
# 0이 없는 경우 대비
count_lottos[0] = 0
# 당첨번호 카운트
for num in win_nums:
count_lottos[num] = 0
... |
from aocd import data
from aoc.utils import rows
import re
from functools import partial
rules = {}
for row in rows(data):
if ":" in row:
id_, rule = re.match(r"(\d*): (.*)", row).groups()
rules[int(id_)] = rule
messages = [row for row in rows(data) if ":" not in row and row != ""]
max_recursion_... |
# Config
import json
import pathlib
# Read config.json
try:
path_cfg = pathlib.Path(
pathlib.Path.cwd()).parents[1].joinpath("config.json")
with open(path_cfg, "r") as _file:
settings = json.load(_file)
except:
path_cfg = pathlib.Path(
pathlib.Path.cwd()).parents[2].joinpath("config... |
import smtplib
import logging
from functools import wraps
from email.header import Header
from email.mime.text import MIMEText
class SendEmailRetryTimeout(Exception):
pass
def error_retry(func):
@wraps(func)
def warps_func(*args, **kwargs):
for i in range(3):
try:
rlt... |
import inspect
import json
import os
from ctypes.util import find_library
from ctypes import *
from functools import wraps
from queue import Queue
from threading import Thread
from bot.custom import errors
from . import td_api
threads: list = list()
def run_async(func):
@wraps(func)
def async_func(*ar, **k... |
# Databricks notebook source
# MAGIC
# MAGIC %md
# MAGIC # Class-Utility-Methods-Test
# MAGIC The purpose of this notebook is to faciliate testing of courseware-specific utility methos.
# COMMAND ----------
spark.conf.set("com.databricks.training.module-name", "common-notebooks")
# COMMAND ----------
# MAGIC %md
#... |
from selenium import webdriver
import time
# driver = webdriver.Chrome(executable_path="./chromedriver.exe")#传入路径有两种方式
driver = webdriver.Chrome()#打开浏览器，把chrome放入与python同级目录，括号内不需要添加执行路径。
def openBaiDu(url, selector, keyword,pic):
driver.get(url)
if selector == 'kw':
driver.find_element_by_id(selector)... |
# File: tala_connector.py
#
# Copyright (c) 2018-2021 Splunk Inc.
#
# 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 app... |
import angr
BEFORE_STRINGS_NOT_EQUAL_ADDR = 0x8048B2C
FIND_ADDR = 0x8048B43
AVOID_ADDR = 0x8048B3
# Load the binary
proj = angr.Project('bomb', load_options={'auto_load_libs':False})
# Start right before the data comes in:
state = proj.factory.blank_state(addr=BEFORE_STRINGS_NOT_EQUAL_ADDR)
# Approach 1 -... |
import pygame,sys
import random
import math
from pygame.locals import *
from pygame.sprite import Group
import gF
import Bullet
import Slave
import global_var
import Effect
import Item
def polyByLength(bullets,type,length,sideNum,standardSpeed,standardAngle,pos,color='white',doCode=False,*args):
halfAngle=360/side... |
from FSMSIM.expr.expr import Expr
class ConcatExpr(Expr):
def __init__(self, l: Expr, r: Expr) -> None:
self.l = l
self.r = r
def evaluate(self) -> str:
return self.l.evaluate() + self.r.evaluate()
def __len__(self) -> int:
return len(self.l) + len(self.r)
|
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import pulumi
import pulumi.runtime
class GetManagedZoneResult(object):
"""
A collection of values returned by getManagedZone.... |
def ping() -> str:
return "pong"
|
import os
import sys
import logging
from pathlib import Path
import importlib
import boto3
from botocore.exceptions import ClientError
import timone
from timone.errors import StorageException
class StorageDriver(object):
def __init__(self):
super()
def object_exists(self, org, repo, oid):
r... |
# Random Forest Classifier
import sys
import numpy as np
import pickle
from sklearn import model_selection
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy_score, confusion_matrix
from MNIST_Dataset_Loader.mnist_loader import MNIST
import matplotlib.pyplot as plt
from ... |
# https://docs.aws.amazon.com/rekognition/latest/dg/API_IndexFaces.html
import boto3
#BUCKET = "amazon-rekognition"
BUCKET = "smart-door-image-store"
KEY = "ted_pic.jpg" # Either key in S3 or however img frame gets passed from KVS
IMAGE_ID = KEY
COLLECTION = "faces"
REGION = "us-east-1"
# Collection is already cr... |
#!/usr/bin/env python
# coding: utf-8
import os
import pathlib
from io import StringIO
from unittest import TestCase
from sampan.toto import get_samples
class TestToto(TestCase):
TEST_CSV_FILE = os.path.join(str(pathlib.Path(__file__).parent), 'resources', 'test.csv')
def test_get_samples(self):
get... |
import _lib
import re
import time
def StartNodeInteractive(datadir, address, port,comment = ""):
_lib.StartTest("Start node (debug) "+comment)
res = _lib.ExecuteHangNode(['startintnode','-datadir',datadir,'-port',port,'-minter',address],datadir)
_lib.FatalAssertSubstr(res,"Process started","No process star... |
from chatbot.models import Survey
def test_database(test_session):
"""Tests that the mock database was set up correctly"""
# execute
surveys = test_session.query(Survey).all()
# validation
assert len(surveys) == 2
for survey in surveys:
assert survey.name in ["survey1", "survey2"]
... |
v = [9, 8, 7, 12, 0, 13, 21]
p = []
i = []
for x in v:
if x % 2 == 0:
p.append(x)
else:
i.append(x)
print(f'Números pares: {p}')
print(f'Números ímpares: {i}')
|
import numpy as np
import tensorflow as tf
from gtrain import FCNet, gtrain
from gtrain.data import AllData
np.random.seed(555)
tf.set_random_seed(555)
def generate_test_data(num_of_train_samples=1000, num_of_validation_samples=100):
data_tr = np.random.rand(num_of_train_samples, 2)
data_val = np.random.ran... |
# create a class and __init__
class Book():
pass
book = Book()
print(book) # we get <__main__.Book object at 0x7fe3b9636a60>
# When we say Book() we are instantiating a new object
# This object iws assigned to the book variable
# Printing it gives us the type and memory location
# second method:
print(type(boo... |
from bs4 import BeautifulSoup
import sys
from prep.helpers import HttpHelpers
class iJobs:
def __init__(self, url):
self.url = url
self.helpers = HttpHelpers()
def get(self):
page = self.helpers.download_page(self.url)
if page is None:
sys.exit('Error downloading ... |
from rest_framework import status
from rest_framework.response import Response
from rest_framework.generics import GenericAPIView
from ..permissions import IsAuthenticated
from ..utils import readbuffer, decrypt_with_db_secret
from ..app_settings import (
ReadHistorySerializer
)
from ..authentication import Toke... |
#单一路径图片文件夹生成训练文件
#
import numpy as np
import os
import random
from sklearn.model_selection import train_test_split
from matplotlib import pyplot as plt
import pickle
import cv2
train_X = []
train_y = []
# set folder path
'''
这样做的好处是不需要手动将文件夹分为train、val,符合实际工程
'''
folder_path1 = '/home/yao/data/hymenoptera_data/ants... |
import pandas as pd
from faker.factory import Factory
from stop_watch import stop_watch # 実行時間測定
# import json # To create a json file
from random import randint # For id
Faker = Factory.create
fake = Faker()
fake.seed(20000) # 設定することで結果が固定される。
fake = Faker("ja_JP")
@stop_watch
def make_data(use_columns, row_co... |
from .light_frontend import LightFrontend
from .full_frontend import FullFrontend
from .hybrid_frontend import HybridFrontend
from .composite_frontend import CompositeFrontend
from .replacement_frontend import ReplacementFrontend
|
from __future__ import print_function
import os
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
import torch.optim as optim
from torchvision import datasets, transforms
from models.wideresnet import *
from models.resnet import *
from adv import adv_loss_new
parser... |
# day 5 Numpy
import numpy as np
def introduction():
print('Numpy Version', np.__version__)
def array_operation():
np.random.seed(0) # seed for reproducibility
x1 = np.random.randint(10, size=6) # One-dimensional array
x2 = np.random.randint(10, size=(3, 4)) # Two-dimensional array
x3 = ... |
# -*- coding: utf-8 -*-
"""
@date: 2021/2/23 下午8:22
@file: fashionmnist.py
@author: zj
@description:
"""
from torch.utils.data import Dataset
import torchvision.datasets as datasets
from zcls.data.datasets.util import default_converter
# from zcls.data.datasets.evaluator.general_evaluator import GeneralEvaluator
f... |
from bsm.loader import load_common
class Base(object):
def __init__(self, config, env):
self._config = config
self._env = env
class OperationError(Exception):
pass
class Operation(object):
def __init__(self, config, env):
self.__config = config
self.__env = env
def... |
import sys
import torch
import torch.nn.functional as F
# import utils
class Net(torch.nn.Module):
def __init__(self,inputsize,taskcla, unitN = 400, split = False, notMNIST = False):
super(Net,self).__init__()
ncha,size,_=inputsize
self.notMNIST = notMNIST
if notMNIST:
... |
import numpy as np
import pandas as pd
filename = {"data1": "GSE71858.npy", #
"data2": "GSE60361.npy", #
"data3": "GSE71585.npy",
"data4": "GSE62270.npy", #
"data5": "GSE48968.npy", #
"data6": "GSE52529.npy", #
"data7": "GSE77564.npy",
... |
import matplotlib.pyplot as plt
import tensorflow as tf
import numpy as np
import functools
def new_weights(shape):
return tf.Variable(tf.truncated_normal(shape, stddev=0.05))
def new_biases(length):
return tf.Variable(tf.constant(0.05, shape=[length]))
def new_conv_layer(input, num_input_channels, filter... |
from time import ctime
from torbjorn.version import VERSION
def run():
cur_time = ctime()
text = f"""
# Torbjorn
Version {VERSION} ({cur_time} +0800)
"""
print(text)
|
def dijkstra(vertices, arestas, inicial, final):
visitados = set()
parente = dict()
nao_visitados = set({inicial})
distancias = {inicial:0}
while len(nao_visitados) > 0:
atual = min([(distancias[no],no) for no in nao_visitados])[1]
if atual == final: # já achou o menor caminho até... |
# Copyright (c) Xavier Figueroa
# 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 writing, sof... |
# -*- coding: utf-8 -*-
import sys
import os
import datetime
import time
import codecs
import ctypes
import array
WM_CHAR = 0x0102
def enum_child_windows_proc(handle, list):
list.append(handle)
return 1
qLogNow=datetime.datetime.now()
qLogFlie = 'temp/_log/' + qLogNow.strftime('%Y%m%d-%H%M%S') + '_' + ... |
code = '''UDRLRRRUULUUDULRULUDRDRURLLDUUDURLUUUDRRRLUUDRUUDDDRRRLRURLLLDDDRDDRUDDULUULDDUDRUUUDLRLLRLDUDUUUUDLDULLLDRLRLRULDDDDDLULURUDURDDLLRDLUDRRULDURDDLUDLLRRUDRUDDDLLURULRDDDRDRRLLUUDDLLLLRLRUULRDRURRRLLLLDULDDLRRRRUDRDULLLDDRRRDLRLRRRLDRULDUDDLDLUULRDDULRDRURRURLDULRUUDUUURDRLDDDURLDURLDUDURRLLLLRDDLDRUURURRRRDRR... |
import ovl
target_filters = [ovl.percent_area_filter(min_area=0.005),
ovl.circle_filter(min_area_ratio=0.7),
ovl.area_sort()]
threshold = YELLOW_HSV = ovl.Color([20, 100, 100], [55, 255, 255])
yellow_circle = ovl.Vision(threshold=threshold,
target_filter... |
# C1C Matt Grimm
# Nov 15
# USAFA
import threading
from threading import Thread
import RPi.GPIO as GPIO
import spidev
import time
# This is my attempt at trying to analyze multiple signals at once on the same
# Raspberry Pi Board. It's a low resource "logic analyzer", or I'd like to think so.
def xmit():
for x in... |
#!/usr/bin/env python
# coding: utf-8
# Sets up the source description (both single force and moment) from results of conduit flow model
# In[2]:
import numpy as np
import gc
# In[ ]:
def time_height(time, dt, height, cushion=4000):
'''
takes the time and height arrays from conduit flow simulation and
... |
import unittest
from multiplicable_numbers import displays_detected_numbers
class TestDisplaysDetectedNumbers(unittest.TestCase):
def setUp(self):
self.one_to_a_hundred_with_three_and_five_multiplicables = [
'1', '2', 'Three', '4', 'Five', 'Three', '7', '8', 'Three', 'Five', '11', 'Three', '1... |
"""Reflexec config validator module.
"""
import logging
import shlex
from distutils.util import strtobool
log = logging.getLogger("reflexec")
def validate_config_value(key, cfg):
"""Validate config value."""
if key not in cfg:
return
validator_fn = globals()[f"validate_{key}"]
value = cfg[ke... |
# Generated by Django 2.2.2 on 2019-06-13 18:22
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('library', '0002_auto_20190613_1747'),
]
operations = [
migrations.RemoveField(
model_name='author',
name='slug',
... |
# encoding: utf-8
"""Utilities for working with data structures like lists, dicts and tuples.
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2008-2011 The yap_ipython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# t... |
import re
from composite import composite_function
from typing import *
from error import error
A = NewType('A', int)
class Token:
def __init__(self, type_: str, text_: str):
self.type = type_
self.text = text_
def __repr__(self):
return "[" + self.type + ", " + self.text + "]"
# genT... |
import sys
from sessions import get_session
account_number = sys.argv[1]
stage = sys.argv[2]
function_name = sys.argv[3]
version = sys.argv[4]
function_arn = f'arn:aws:lambda:eu-west-2:{account_number}:function:{function_name}'
boto_session = get_session(account_number, "TDRJenkinsLambdaRole" + stage.capitalize())
c... |
class DriverArgument:
def __init__(self) -> None:
self.action: str = None
self.pl_project: dict = None
self.pl_projects: list = None
self.pl_field: str = None
self.o_lim: bool = None
self.o_quit: bool = None
def get_action(self) -> str:
""" Returns the action this DriverArgument h... |
#! /usr/bin/env python
from b3p import geometry_section
from b3p import geometry_blade_shape
from b3p import geometry_web
import pickle
def build_mesh(
pckfile,
radii,
web_inputs,
web_intersections,
prefix,
n_web_points=10,
n_ch_points=120,
outfile="out.vtp",
added_datums={},
... |
#! /usr/bin/python2.7
# -*- coding: utf-8 -*-
import pytest
@pytest.fixture
def hannanum_instance():
from konlpy import init_jvm
from konlpy.tag import Hannanum
init_jvm()
h = Hannanum()
return h
@pytest.fixture
def string():
return u"꽃가마 타고 강남 가자!"
def test_hannanum_analyze(hannanum_insta... |
''' callcontract.py - デプロイしたコントラクトを呼び出す '''
import os
from web3 import Web3
from web3.contract import Contract
KOVAN_URL = os.getenv('KOVAN_URL')
address_file = 'HelloWorld.address'
abi_file = 'HelloWorld.abi'
w3 = Web3(Web3.HTTPProvider(KOVAN_URL))
print('w3.isConnected:', w3.isConnected())
''' コントラクトアドレスの読み出し ''... |
import os
import copy
import numpy as np
import pandas as pd
import torch
from sklearn.metrics import f1_score
from utils import load_model_dict
from models import init_model_dict
from train_test import prepare_trte_data, gen_trte_adj_mat, test_epoch
cuda = True if torch.cuda.is_available() else False
def cal_feat_i... |
import os
from collections import OrderedDict
from jogger.utils.files import walk
from .base import Task, TaskError
try:
import flake8 # noqa
HAS_FLAKE8 = True
except ImportError:
HAS_FLAKE8 = False
try:
import isort # noqa
HAS_ISORT = True
except ImportError:
HAS_ISORT = False
try:
i... |
import os, re, shutil, requests, threading
from httpsreqfast.encoder import Encoder
from httpsreqfast.browser import Browser
from httpsreqfast.receiver import Receiver
from httpsreqfast.config import *
from httpsreqfast.utils.request import request_post
class Getter:
def fast_get(
self,
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 01/24/22 10:38 PM
# @Author : Fabrice Harel-Canada
# @File : minist.py
import os
from typing import Optional
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import torch
from torch.nn import functional as F
from torch import nn
fro... |
from selfdrive.car import dbc_dict
# Steer torque limits
class SteerLimitParams: #controls running @ 100hz
STEER_MAX = 9
STEER_DELTA_UP = 10 / 100 # 10Nm/s
STEER_DELTA_DOWN = 1000 / 100 # 10Nm/sample - no limit
STEER_ERROR_MAX = 999 # max delta between torque cmd and torque motor
class SteerActu... |
#!/usr/bin/env python
import sys
import imp
import os
import subprocess
from datetime import datetime
import csv
import tempfile
def main():
if len(sys.argv) != 2:
print 'Usage: ./broeval.py <configfile>'
return
(cfgpath, cfgname) = os.path.split(sys.argv[1])
(cfgname, cfgext) = os.path.sp... |
def str_format(s, *args, **kwargs):
"""Return a formatted version of S, using substitutions from args and kwargs.
(Roughly matches the functionality of str.format but ensures compatibility with Python 2.5)
"""
args = list(args)
x = 0
while x < len(s):
# Skip non-start token characters... |
# coding: utf-8
import ast
from datetime import timedelta
from django.core.exceptions import EmptyResultSet, FieldDoesNotExist
from django.db import ProgrammingError
from django.db.models import functions
from django.db.models.query import F, Prefetch, QuerySet
from django.utils.timezone import now
from rest_framework... |
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