content stringlengths 5 1.05M |
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#!/usr/bin/env python3
from setuptools import find_packages, setup
setup(
author="Jerome Van Der Linden",
license="MIT-0",
name="verifyAddress",
packages=find_packages(),
install_requires=["requests"],
setup_requires=["pytest-runner"],
test_suite="tests",
tests_require=["pytest", "pytes... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
This module provide high-level class that provides simplified APIs for
conducting different experiment.
"""
import os
import pathlib
import bluesky
import ophyd
import epics
import databroker
import numpy as np
from bluesky.callbacks.best_effort import BestEffortCa... |
# Copyright 2014-2016 Andreas Riegg - t-h-i-n-x.net
#
# 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 ... |
from django.shortcuts import render, redirect
from django.contrib import messages
from .models import User, Character, Item, Obstacle
import bcrypt
def render_register(request):
return render(request, 'register.html')
def register(request):
errors = User.objects.register_validator(request.POST)
hashed = b... |
# standard library
import sys
from typing import Dict, Union
import json
import os
# local
from utils import run_bash
from file import resolve_bare_text_file
from standard_column_order import STANDARD_COLUMN_ORDER
# # # # # # # # # # # # # # # # # # # # # # # # # #
# #... |
ix.enable_command_history()
ix.api.SdkHelpers.revert_items_overrides(ix.application)
ix.disable_command_history()
|
"""
Author: Towaha
Email: soft@hotmail.co.uk
"""
import numpy as np
import sys
sys.path.append("..")
from libs.utils import load_dataset_mnist, preprocess_data, Trainer
from libs.mnist_lib import MNIST
from optimizations_algorithms.optimizers import SGD
from nn_components.activations import softmax
from nn_components.l... |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df = pd.read_csv("titanic (1).csv")
data = pd.get_dummies(df, columns =['Siblings/Spouses', 'Pclass', 'Sex', 'Age', 'Fare'])
x = data.iloc[:, 1:].values
y = data.iloc[:, 0].values
from sklearn.model_selection import train_test_split
x_train, x_t... |
"""append.py unit tests."""
import pytest
from pypyr.context import Context
from pypyr.dsl import PyString
from pypyr.errors import (ContextError,
KeyInContextHasNoValueError,
KeyNotInContextError)
from pypyr.steps import append
# region validation
def test_append_... |
import re
import os
import requests
import csv
SCRIPT_DIR = os.path.dirname(os.path.realpath(__file__))
DIST_DIR = os.path.join(SCRIPT_DIR, '..', 'dist')
default_user_agent = """Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.135 Safari/537.36 Edge/12.246"""
generic_u... |
from keras.preprocessing.image import ImageDataGenerator
import numpy as np
import keras
import cv2
import os, os.path
import random
default_validation_options = { 'rescale' : 1./255, \
'samplewise_center': True, \
'samplewise_std_normalization':True \
}
default_... |
# -*- coding: utf-8 -*-
# Copyright 2012-2013 UNED
#
# 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 a... |
from __future__ import absolute_import, division, print_function, unicode_literals
from cosrlib.sources import Source
import requests
class UrlSource(Source):
""" Source that actually fetches an URL. Use with caution! """
def get_partitions(self):
if self.args.get("urls"):
return [{
... |
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
"""
Linear filter(s). For the moment, only a Gaussian smoothing filter
"""
from __future__ import absolute_import
import gc
import numpy as np
import numpy.fft as fft
import numpy.linalg as npl
from nip... |
"""
Afterglow Core: API v1 photometry views
"""
from flask import Response, request
from numpy import array
from astropy.wcs import WCS
from .... import app, auth, errors, json_response
from ....resources.data_files import (
get_exp_length, get_gain, get_data_file_data)
from ....resources.photometry import get_p... |
# Jetfuel Game Engine- A SDL-based 2D game-engine
# Copyright (C) 2018 InfernoStudios
#
# 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... |
from .authorization_token import AuthorizationToken, AuthorizationTokenSet
|
from conans import ConanFile, CMake
class TypelistUtilsConan(ConanFile):
name = "typelist_utils"
version = "0.0.2"
# Optional metadata
license = "MIT"
author = "Leo Ghafari"
url = "https://github.com/Yuki-cpp/typelist_utils"
description = "Small header only library allowing to manipulate ... |
"""Coding_Machine URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/dev/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Cl... |
from . import logger |
#!/usr/bin/env python
# coding: utf-8
# # Introduction
#
# The issue of keeping one's employees happy and satisfied is a perennial and age-old challenge. If an employee you have invested so much time and money leaves for "greener pastures", then this would mean that you would have to spend even more time and money ... |
import inspect
import io
class socket():
__slots__ = ['conn', 'fp']
def __init__(self, conn, data, *args, **kwargs):
if not type(data) == dict or 'status' not in data:
return
self.conn = conn
self.fp = io.BytesIO()
response = 'HTTP/1.1 '+str(data['status'])+' '+data... |
from pathlib import Path
with (Path(__file__).parent / "input.txt").open() as puzzle_input_file:
puzzle_input_raw = puzzle_input_file.read()
from collections import defaultdict
limit = 1_000_000
houses = defaultdict(int)
number = int(puzzle_input_raw)
for elf in range(1, number):
for house in range(elf, min... |
import torch
import torch.nn.functional as F
from torch_geometric.nn import SplineConv
from gnn_model import GnnModel
import numpy as np
import os
import matplotlib.pyplot as plt
class MinimalSplineConvModel(GnnModel):
def __init__(self,
config,
train_writer,
v... |
import io
import pyqrcode
from base64 import b64encode
def getqr(data):
img = pyqrcode.create(data)
buffers = io.BytesIO()
img.png(buffers, scale=10)
encoded = b64encode(buffers.getvalue()).decode("ascii")
return "data:image/png;base64,"+encoded |
#Faça um Programa que pergunte quanto você ganha por hora e o número de horas trabalhadas no mês. Calcule e mostre o total do seu salário no referido mês, sabendo-se que são descontados 11% para o Imposto de Renda, 8% para o INSS e 5% para o sindicato, faça um programa que nos dê:
#salário bruto.
#quanto pagou ao INSS.... |
# Good analizer must just check code, but not execute!
# The lines below is a simple test for this requirement
f = open('123','w')
f.write('bug!')
f.close()
# Test begin
def func(a, b, c, d):
return a + d
func(1, 2, 3, "aaa")
|
# File: pendulum.py
#
import torch
from mechamodlearn.rigidbody import AbstractRigidBody
from mechamodlearn.models import ControlAffineLinearForce, ViscousJointDampingForce, GeneralizedForces
class SimplePendulumMM(torch.nn.Module):
def __init__(self, l):
"""
Arguments:
- `l`: length of... |
from .utils import split_combined_polys
from .mask_target import mask_target
from .mask_transform import get_seg_masks, get_seg_masks_with_boxes, aligned_bilinear
__all__ = ['split_combined_polys', 'mask_target', 'get_seg_masks', 'get_seg_masks_with_boxes', 'aligned_bilinear']
|
from nonebot import on_keyword, on_command
from nonebot.typing import T_State
from nonebot.adapters.cqhttp import Message, Bot, Event # 这两个没用的别删
from nonebot.adapters.cqhttp.message import MessageSegment
import requests
from nonebot.permission import *
from aiocqhttp.exceptions import Error as CQHttpError
ani... |
#!/usr/bin/env python3
print('----------------------------------------------------------------')
print('- Baxter speech onset steganography demo -')
print('- MAR 2021, Halmstad U., Martin Cooney -')
print('----------------------------------------------------------------')... |
import pytest
import pathlib
import os
import displayio
from PIL import Image
from unittest import mock
from common import utils
from adafruit_display_shapes.rect import Rect
from adafruit_display_shapes.circle import Circle
from adafruit_display_shapes.roundrect import RoundRect
from .test_helper... |
from flask_cors import CORS
import requests
from pprint import pprint
def test_feature_1():
response = requests.get("http://localhost:5000/feature-hunt/features")
assert b'Create product page' in response.content
def test_feature_2():
response = requests.get("http://localhost:5000/disentry/features")
... |
import cv2
import os
import numpy as np
import argparse
import time
import imutils
parser = argparse.ArgumentParser()
parser.add_argument('-i' , '--input' , required = True , help = 'input path to the video')
parser.add_argument('-o' , '--output' , required = True , help = 'output path to the video')
parser... |
# Copyright (c) OpenMMLab. All rights reserved.
runner = dict(
# Basic configurations of the runner
name='Human Pose and Effects',
camera_id=0,
camera_fps=30,
# Define nodes.
#
# The configuration of a node usually includes:
# 1. 'type': Node class name
# 2. 'name': Node name
... |
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.autograd as autograd
import torch.optim as optim
import numpy as np
import os
from torch.autograd import Variable
from torch.utils import data
import copy
import math
import sys
import pandas as pd
class Dataset(data.Dataset):
'Charact... |
#!/usr/bin/env python
# ---------------------------------------------------
#
# This is a program for Passive Buzzer Module
# It will play simple songs.
# You could try to make songs by youselves!
#
# Passive buzzer Pi
# VCC ----------------- 3.3V
# GND ------------------ GND
# SIG ---------------- Pin 11
#
# --... |
from django.db import models
import json
# Create your models here.
class Data(models.Model):
key = models.CharField(max_length=100, verbose_name="键")
value = models.TextField(verbose_name="值", blank=True)
createtime = models.DateTimeField(auto_now_add=True, verbose_name="创建时间")
updatetime = models.D... |
# Generated by Django 3.0.11 on 2021-04-05 19:23
from django.db import migrations
def sync_team_event_names_and_properties(apps, schema_editor):
Team = apps.get_model("posthog", "Team")
for team in Team.objects.all():
try:
# importing locally in case the code ever moves
from p... |
# Copyright 2021 The Fairseq Authors and The HuggingFace Inc. team. 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
#
#... |
""" From lldpd/tests/integration/fixtures/namespaces.py
https://github.com/lldpd/lldpd/blob/11c5322cdce727219f88806dbada7795175aa319/tests/integration/fixtures/namespaces.py#L145
"""
# All allowed namespace types
NAMESPACE_FLAGS = dict(mnt=0x00020000,
uts=0x04000000,
ipc=0x... |
import numpy as np
from collections import defaultdict, OrderedDict
import operator
from src.embedding import Embedding
class Rewards_env():
"""Rewards environment for biology sequence.
Attributes
-------------------------------------------------
rewards_dict: dict of list
keys: string of embe... |
from flask import Flask, render_template, flash, request
import requests
from os import environ
app = Flask(__name__)
def tfserving_request(req_input, model_name):
# Use this if using Docker compose
# url = f"http://server:8501/v1/models/{model_name}:predict"
# This is configured to match the kubernetes ... |
from django import forms
from . import models
class ContactCreateForm(forms.ModelForm):
class Meta:
model = models.Contact
fields = ['first_name', 'last_name', 'email', 'address'] |
# Copyright 2018-2022 Streamlit 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 applicable law or agreed to in wr... |
PolypodalConference = lambda L:max(*L,sum(sorted(L)[:2]))/2
"""
An international conference of polypodal creatures is organized on the top of the Glass Mountain. The numbers of legs of the participants, a1, ... ,an, all are positive even numbers. The side of the Glass Mountain is slippery. Each of the creatures gather... |
"""
Example training to the SNAP database for Tantalum.
This script was designed for an exteranl dataset available at
https://github.com/FitSNAP/FitSNAP
For info on the dataset, see the following publication:
Thompson, A. P., Swiler, L. P., Trott, C. R., Foiles, S. M., & Tucker, G. J. (2015).
Spectral neighbor analys... |
import json, requests
import certifi
def get_fstv(region):
url = requests.get("https://powerful104.pythonanywhere.com/recomm/get_fstv?region="+region, verify = certifi.where())
text = url.text
data = json.loads(text)
return data['festivals']
'''
test = get_fstv("강원_동해시")
print(test[0])
''' |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.6 on 2017-11-06 21:19
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
("mpesa_core", "0006_auto_20171106_2339"),
]
operations = [
migrations.RemoveField(
... |
#!/usr/bin/python3
"""
zipcam.py
This script is for zipping up EAGLE CAM files for OSH Park (and further record
keeping). Just point this at an EAGLE project folder and you're good to go. (It
takes inspiration from my earlier script---zipboard.py--- for Magzor that
checked for naming compliance and a bunch of other th... |
#!/bin/python3
import socket
HOST = '127.0.0.1'
PORT = 7777
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect((HOST, PORT)) |
# -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community
Edition) available.
Copyright (C) 2017-2020 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in co... |
import re
def to_hash(n):
key = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
res = ""
r = n % 62
n /= 62
while n > 0:
res = key[r] + res
r = n % 62
n /= 62
res = key[r] + res
return res
def fix_link(l):
if re.match(r"[a-zA-z]+://.+", l):
ret... |
import matplotlib.pyplot as plt
x = [1, 2, 4, 5, 6]
y = [1.5, 1, 2, 2, 3]
titulo = "Gráfico com pontos"
eixox = "Eixo X"
eixoy = "Eixo Y"
plt.title(titulo)
plt.xlabel(eixox)
plt.ylabel(eixoy)
plt.scatter(x, y, label="Meus pontos", color="k")
plt.plot(x, y, color="g", linestyle="-.")
plt.legend()
#plt.show()
plt.savefi... |
########
# Copyright (c) 2014 GigaSpaces Technologies Ltd. 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... |
import os
testdir = os.path.dirname(__file__)
import unittest
import shutil
import uuid
import json
import random
import jobChomper.runGraph
def createTestBase():
testBase = os.path.join(testdir, str(uuid.uuid4()))
os.mkdir(testBase)
testTmp = os.path.join(testBase, "tmp")
os.mkdir(testTmp)
testVar = os.... |
from django.conf.urls.defaults import patterns, include, url
from blongo.blogapp.views import *
from blongo.registration import *
# Uncomment the next two lines to enable the admin:
# from django.contrib import admin
# admin.autodiscover()
urlpatterns = patterns('',
# Examples:
# url(r'^$', 'blongo.views.home... |
from scipy.spatial import distance as dist
from imutils import face_utils
import numpy as np
import imutils
import time
import dlib
import cv2
def eye_ratio(eye):
A = dist.euclidean(eye[1], eye[5])
B = dist.euclidean(eye[2], eye[4])
C = dist.euclidean(eye[0], eye[3])
ratio = (A + B) / (2.0 * C)
return ratio
... |
# This is my association rule mining algorithm implementation for my
# Data Mining course CSCI4144 at Dalhousie for Winter 2018.
import sys
import assign3_functions as a3f
#this flag is turned to True if the user enters an invalid input
flag = False
dataInput = input("What is the name of the file containing your dat... |
class vehicle:
def general_usuage(self):
print("General Use : Transpotation")
class Car(vehicle): #this is called inheratance, here we inherit the parent class Vehicle and Car here is derived class
def __init__(self):
self.wheels=4
self.roof = True
def specific_usuage(se... |
from decimal import Decimal
from jtune.jtune import median
from jtune.jtune import mean
from jtune.jtune import stdev
def test_median_empty():
"""An empty median() is 0"""
assert median([]) == 0
def test_median_modulo():
"""median [2048, 4096, 49152, 64738] is 26624.0"""
assert median([2048, 4096... |
from pprint import pformat
from sqlalchemy import (Column, ForeignKeyConstraint, Integer)
from sqlalchemy.orm import relationship
from .base import Base
class SchoolCourse(Base):
__tablename__ = 'school_course'
__table_args__ = (
ForeignKeyConstraint(['schoolid'], ['schools.school_number']),
... |
#
# SPDX-License-Identifier: Apache-2.0
#
from .create_node import create_node
from .delete_node import delete_node
from .fabric_ca_register import fabric_ca_register
|
from flask import Blueprint, render_template, g, request, jsonify
from time import gmtime, strftime
from flask_login import login_required, current_user
from app.models import Month, DreamDay, Dream
import datetime
pomodoro_module = Blueprint('pomodoro', __name__, template_folder='templates')
@pomodoro_module.route... |
from .required_item_schema import RequiredFileSchema, RequiredFolderSchema
from .listener_schema import ListenerSchema
|
n = int(input())
x, y = list(zip(*[tuple(input().split()) for _ in range(n)]))
x = all(x[0] == a for a in x)
y = all(y[0] == a for a in y)
print("YES" if x or y else "NO")
|
'''
假设按照升序排序的数组在预先未知的某个点上进行了旋转。
( 例如，数组 [0,1,2,4,5,6,7] 可能变为 [4,5,6,7,0,1,2] )。
搜索一个给定的目标值，如果数组中存在这个目标值，则返回它的索引，否则返回 -1 。
你可以假设数组中不存在重复的元素。
你的算法时间复杂度必须是 O(log n) 级别。
示例 1:
输入: nums = [4,5,6,7,0,1,2], target = 0
输出: 4
示例 2:
输入: nums = [4,5,6,7,0,1,2], target = 3
输出: -1
来源：力扣（LeetCode）
链接：https://leetcode-cn.com/... |
import os
import argparse
import platform
from subprocess import Popen, PIPE
def get_property(config_file, property_name):
with open(config_file) as i_file:
for line in i_file:
if line == "\n" or line.find("=") == -1:
continue
values = line.strip("\n").strip(" ").s... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
if "__main__" != __name__:
def _private():
def _make_base():
import sys
import typing
import inspect
from . import import_module as _import_module
class _Types(object):
Factory = typ... |
# !/usr/bin/env python3
# encoding: utf-8
"""
@version: 0.1
@author: feikon
@license: Apache Licence
@contact: crossfirestarer@gmail.com
@site: https://github.com/feikon
@software: PyCharm
@file: problem_0000.py
@time: 2017/6/10 9:39
"""
# Problem describe:add number to top right of a image
# Problem solve step:
# ... |
##############################################################################
#
# Copyright (c) 2003-2018 by The University of Queensland
# http://www.uq.edu.au
#
# Primary Business: Queensland, Australia
# Licensed under the Apache License, version 2.0
# http://www.apache.org/licenses/LICENSE-2.0
#
# Development unti... |
#
# Copyright (C) 2012 - 2015 Satoru SATOH <ssato @ redhat.com>
# License: MIT
#
# pylint: disable=missing-docstring
from __future__ import absolute_import
import anyconfig.backend.tests.ini
try:
import anyconfig.backend.yaml as TT
except ImportError:
TT = None
from anyconfig.compat import OrderedDict as ODic... |
# -*- coding: utf-8 -*-
# Copyright (c) 2021, Wahni Green Technologies and contributors
# For license information, please see license.txt
import frappe
import json
from erpnext.stock.doctype.stock_reconciliation.stock_reconciliation import get_items
from frappe.utils.data import today, nowtime, format_date, format_time... |
from .domino import *
from .players import *
from .rules import *
from .training import *
from .tournaments import *
|
#-*-coding:utf-8-*-
import tensorflow as tf
import cv2
import numpy as np
import time
from lib.helper.init import init
from train_config import config
class Shufflenet():
def __init__(self,pb):
self.PADDING_FLAG=True
self.ANCHOR_SIZE=0
self._pb_path=pb
self._graph = tf.Graph()
... |
from django.db.models.signals import post_save
from django.dispatch import receiver
from .models import Result, Parameter, Data
#here we set up the receiver functions
# check also the initalisation in the apps.py
@receiver(post_save, sender=Parameter)
def params_saved(sender,**kwargs):
print("Parameters have been... |
import runway
from model import BiSeNet
import torch
import os
import os.path as osp
import numpy as np
from PIL import Image
import torchvision.transforms as transforms
import cv2
@runway.setup(options={'checkpoint': runway.file(extension='.pth')})
def setup(opts):
net = BiSeNet(n_classes=19)
net.cuda()
... |
"""PEbot core module"""
import time
import random
from selenium import webdriver
# from selenium.webdriver.common.by import By
# from selenium.webdriver.support.ui import WebDriverWait
# from selenium.webdriver.support import expected_conditions as EC
from bs4 import BeautifulSoup
URL = "https://wellness.sfc.keio.ac.... |
from setuptools import setup
def readme():
with open("README.md") as f:
return f.read()
setup(
name="scpidev",
version="0.0.1a1",
author="Simon Bertling",
author_email="simon.bertling@gmx.de",
description="A python package to turn your device into an SCPI instrument.",
keywords="sc... |
# Copyright Contributors to the Amundsen project.
# SPDX-License-Identifier: Apache-2.0
import unittest
from unittest.mock import MagicMock
from amundsen_common.models.search import Filter, HighlightOptions
from elasticsearch_dsl import Search
from search_service import create_app
from search_service.proxy.es_proxy_... |
#!/usr/bin/env python3
"""Tests for the starstruct class"""
import enum
import struct
import unittest
import pytest
from starstruct.message import Message
# from starstruct.modes import Mode
class SimpleEnum(enum.Enum):
"""Simple enum class for testing message pack/unpack"""
one = 1
two = 2
three ... |
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split
from sklearn.neural_network import MLPClassifier
import pandas as pd
from sklearn.datasets import load_iris
iris = load_iris()
data = pd.DataFrame(iris.data, columns=iris.feature_names)
data["species"] = pd.DataFrame(iris.... |
# This code is part of Qiskit.
#
# (C) Copyright IBM 2021.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative wo... |
#!/usr/bin/env python3
#****************************************************************************************************************************************************
# Copyright (c) 2016 Freescale Semiconductor, Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
#... |
#nomes e notas
'''f = open ('surf.txt')
for linha in f:
print (linha.strip())
f.close()
'''
#maior nota
'''f = open ('surf.txt')
maior = 0
for linha in f:
nome, pontos = linha.split()
if float(pontos) > maior:
maior = float (pontos)
f.close()
print (maior)
'''
#três notas
'''f = open ('surf.txt')
no... |
from .. import utils as U
from ..core import GenLearner
from ..imports import *
from .data import show_image
class ImageClassLearner(GenLearner):
"""
```
Main class used to tune and train Keras models for image classification.
Main parameters are:
model (Model): A compiled instance of keras.engin... |
# Define here the models for your scraped items
#
# See documentation in:
# https://docs.scrapy.org/en/latest/topics/items.html
import scrapy
from crawler.models import News
from scrapy_djangoitem import DjangoItem
class DailystarbotItem(DjangoItem):
# define the fields for your item here like:
# name = scrap... |
import argparse
import torch
import torch.nn as nn
import torch.nn.parallel
from models import modules, net, resnet, densenet, senet
import loaddata
import util
import numpy as np
import sobel
def main():
model = define_model(is_resnet=False, is_densenet=False, is_senet=True)
# model = torch.nn.DataParallel(... |
import os
import uuid
from flask import Flask, url_for, redirect, session
from flask_sslify import SSLify
from flask_saml2.sp import ServiceProvider
import flask_login
from flask_saml2.utils import certificate_from_string, private_key_from_string
from structlog import get_logger
from .admin import init_admin
from .em... |
"""
Sets Color Mode of all Point Cloud Instances in View to Normal.
TESTED REVIT API: 2017
Author: Gui Talarico | github.com/gtalarico
This file is shared on www.revitapidocs.com
For more information visit http://github.com/gtalarico/revitapidocs
License: http://github.com/gtalarico/revitapidocs/blob/master/LICENSE.... |
# --------------------------------------------------------
# Compute metrics for detectors using ground-truth data
# Written by Wang Xueyang (wangxuey19@mails.tsinghua.edu.cn), Version 20200321
# Based on pycocotools (https://github.com/cocodataset/cocoapi/)
# -------------------------------------------------------... |
#!/usr/bin/env python
__author__ = 'Kanishka Ganguly'
__version__ = '1.0.0'
__date__ = 'May 25 2017'
import time
class file_io:
''' FILE IO '''
def open_file(self, root_dir, glove_type=None, cam=None):
if cam is not None:
text_file = ('%s/Cam%dTimestamp.txt') % (root_dir, cam)
... |
import numpy as np
import matplotlib.pyplot as plt
fig, ax = plt.subplots(figsize=(6, 3), subplot_kw=dict(aspect="equal"))
recipe = ["225 g flour",
"90 g sugar",
"1 egg",
"60 g butter",
"100 ml milk",
"1/2 package of yeast"]
data = [225, 90, 50, 60, 100, 5]
wedges, ... |
# Elf helper functions
# Author: Matej Kastak
import os
from debug import debug_enabled, debug_print
from context import Context
from subprocess import check_call, CalledProcessError
def rr(cmd):
return check_call(cmd, shell=True)
def r(cmd):
if debug_enabled:
debug_print(cmd)
os.system(cm... |
import logging
import os
def get_root_dir() -> str:
"""Returns parent directory of module. If structure is:
parent/
.git
config.ini
module/
__init__.py
code1.py
code2.py
Then will return top level 'parent' directory path
Returns:
st... |
MOUDLE_NUM=26
PAYLOAD_NUM=55
# AlibabaCanal
from Moudle.AlibabaCanal import Alibaba_Canal_Info_Leak
# Apache
from Moudle.Apache import CVE_2021_41773
# Confluence
from Moudle.Confluence import CVE_2021_26084
# Demo
from Moudle.Demo import Demo
from Moudle.Demo import Test
# Discuz
from Moudle.Discuz import discuz_... |
import os
import time
from pprint import pprint
from utils.enocean_driver import EnOcean_J
def view_packet_loop():
eo = EnOcean_J()
while True:
try:
packet = eo.get_packet()
if packet:
print("\n")
pprint(packet)
except Excep... |
import torch
import torch.nn as nn
from .base_module import BaseModule
class BottleneckResidual(BaseModule):
def __init__(self,in_feature,out_featue,hidden_feature=None,stride=1,**kwargs):
super(BottleneckResidual,self).__init__(in_feature,out_featue,stride,**kwargs)
if hidden_feature is None:
... |
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from builtins import * # noqa
import click
import logging
from .libs.fs import Watcher, DummyScheme, GitScheme
@click.group('fs')
@click.pass_obj
def cli(g):
"""FileSystem management tools."""
level = 'DEBUG' if g.verbose else 'INFO'
logg... |
#!/usr/bin/python3
import requests
import json
# define the URL we want to use
GETURL = "http://validate.jsontest.com/"
def main():
# test data to validate as legal json
mydata = {"fruit": ["apple", "pear"], "vegetable": ["carrot"]}
## the next two lines do the same thing
## we take python, convert ... |
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