content stringlengths 5 1.05M |
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#!/usr/bin/env python
"""
Requirements:
* Python >= 3.6.2
* Pandas
* NumPy
Copyright (c) 2020 Georgios Fotakis <[email protected]>
MIT License <http://opensource.org/licenses/MIT>
"""
RELEASE = False
__version_info__ = ('0', '3', )
__version__ = '.'.join(__version_info__)
__version__ += '-dev... |
# Python
import re
# Django
from django.core.validators import RegexValidator
from django.db import models
from django.utils.timezone import now
from django.utils.translation import ugettext_lazy as _
# Django OAuth Toolkit
from oauth2_provider.models import AbstractApplication, AbstractAccessToken
DATA_URI_RE = re... |
import configparser
from os import path
class Config:
def __init__(self):
self.config = None
self.section = None
def load(self, cfg_file, section):
if not path.exists(cfg_file):
raise FileNotFoundError()
self.config = configparser.ConfigParser()
self.conf... |
import threading
import __init__
import paho.mqtt.client as client_lib
import time
from sistem_climatizare.senzori_centralizare.basic_sensor import BasicSensor
class Display(threading.Thread):
@staticmethod
def fnc_activa(client, user_data, message):
print("Temperatura primita: ", str(message.payload... |
from tkinter import *
root = Tk()
class Cell (Button):
Dead = 0
Live = 1
def __init__ (self,parent):
Button.__init__(self,parent, relief = "raised" , width = 2 , borderwidth = 1 , command = self.onpress)
self.displayState(Cell.Dead)
def onpress (self):
if self.stat... |
import json
import unittest
from localstack.utils.aws import aws_stack
from localstack.utils.common import short_uid
TEST_QUEUE_NAME = 'TestQueue'
TEST_POLICY = """
{
"Version":"2012-10-17",
"Statement":[
{
"Effect": "Allow",
"Principal": { "AWS": "*" },
"Action": "sqs:SendMessage",
"... |
def relevant_paths(root_dir, only_title, only_part):
"""We may want to filter the paths we search in to those relevant to a
particular cfr title/part. Most index entries encode this as their first
two path components"""
prefix_path = root_dir.path
for sub_entry in root_dir.sub_entries():
suf... |
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from models.flowplusplus.act_norm import ActNorm
from models.flowplusplus.act_norm import CondNorm
from models.flowplusplus.inv_conv import InvConv
from models.flowplusplus.nn import GatedConv
from models.flowplusplus.coupling import Coupli... |
#%%
import datetime
import ephem
import time
import urllib.request
from dateutil import tz
import libs.rigctllib as rigctllib
from sys import platform
from RPLCD import i2c
from config.satlist import SAT_LIST
import json
from libs.satlib import *
from libs.lcdlib import *
import RPi.GPIO as GPIO
gpio_pins = ["CLK", "D... |
import os
import svg_tools
try:
columns, rows = os.get_terminal_size(0)
except OSError:
columns, rows = os.get_terminal_size(1)
def print_centered(text):
print(text.center(columns)[:-1])
print_centered("~~~ SVG to GD ~~~")
print_centered("Made by jaan and camila314")
print()
print_centered("It's recom... |
#!/usr/bin/env python3.6
"""
Purpose:
Script responsible for helping organize music files in a
specified directory and of a specific music filetype
Steps:
- Parse Location of Music from CLI
- Determine Music Extension (Default .mp3)
- Find all music files in the directory... |
import numpy as np
def findPaperLen(pairs):
max_x = 0;
max_y = 0;
for (x, y) in pairs:
if x > max_x:
max_x = x
if y > max_y:
max_y = y
return (max_x, max_y)
def day13_part1(paper, foldcmd):
(axis, val) = foldcmd
if axis == 'y':
top = paper[:... |
from bs4 import BeautifulSoup
from requests import get
import json
def contact_scrape(link,output):
key = ['name','email','twitter','facebook','instagram','youtube']
val = []
soup = BeautifulSoup(get('https://su.sheffield.ac.uk' + link).text, 'html.parser')
#======================#
# Extract s... |
#!/usr/bin/python3
import timeit
import time
import os
import matplotlib.pyplot as plt
from tqdm import trange
from injectSeed import *
from subprocess import call
def getRuntime(bytecode):
""" executes program and returns running time """
start = time.time()
exec(bytecode)
end = time.time()
return... |
from p5 import *
class Slider:
def __init__(self,low,high,default):
'''slider has range from low to high
and is set to default'''
self.low = low
self.high = high
self.val = default
self.clicked = False
def position(self,x,y):
'''slide... |
#!/usr/bin/env python
#
# Copyright 2018 Espressif Systems (Shanghai) PTE LTD
#
# 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 req... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# stride-ios-relay.py - Stride TCP connection relay for iOS devices to Windows developer host (using usbmuxd)
#
# Copyright (c) .NET Foundation and Contributors (https://dotnetfoundation.org/ & https://stride3d.net) and Silicon Studio Corp. (https://www.siliconstudio.co.jp)
#... |
# -*- coding: utf-8 -*-
'''
.. created on 21.08.2016
.. by Christoph Schmitt
'''
from __future__ import print_function, absolute_import, division, unicode_literals
from reflexif.compat import *
from reflexif.compat import PY2
import io
import os
import unittest
from reflexif.io import Frame, SourceWrapper, FileSourc... |
"""Unit tests for the Hyperbolic space using Poincaré Ball Model.
We verify poincare ball model by compare results
of squared distance computed with inner_product
(using RiemannianMetric methods) and distance defined
in PoincareBall.
We also verify the distance is the same using differents
coordinates systems.
"""
i... |
#!/usr/bin/env python
import os
import yaml
import pandas as pd
import argparse
__author__ = 'Teruaki Enoto'
__version__ = '0.01'
# v0.01 : 2020-08-12 : original version
def get_parser():
"""
Creates a new argument parser.
"""
parser = argparse.ArgumentParser('niauto.py',
usage='%(prog)s -o obsid',
descripti... |
print "\nSTRINGS"
s = 'hello'
print ('h' in s) == True
print ('H' in s) == False
print ('e' not in s) == False
print ('L' not in s) == True
print ('hello' + ' world') == 'hello world'
print 'a'*3 == 'aaa'
print 2*'hello' == 'hellohello'
s = '01234'
print s[4] == '4'
print s[-1] == '4'
print s[0:3] == s[:3] == s[None:3]... |
#Done by Carlos Amaral (20/07/2020)
#try 15.5- Refactoring
"""
The fill_walk() method is lengthy. Create a new method
called get_step() to determine the direction and distance for each step, and
then calculate the step. You should end up with two calls to get_step() in
fill_walk() :
x_step = self.get_step()
y_step =... |
from torchtext import data
import os
class SST1Dataset(data.TabularDataset):
dirname = 'data'
@classmethod
def splits(cls, text_field, label_field,
train='phrases.train.tsv', validation='dev.tsv', test='test.tsv'):
prefix_name = 'stsa.fine.'
path = './data'
return su... |
from dataloader import dataloader
from dataloader.db.session import mapping_session
objectList = ['obj A', 'obj B']
#export
sf = dataloader(instance = 'test',
userName = '<source-username>',
password = '<source-password>',
securityToken = '<source-token>'
)... |
import sys
from weird_mesh import getWeirdMesh
argument = sys.argv[1]
n = int(sys.argv[2])
maillages = {"cartesian": "o", "triangle": "/\\//", "checkerboard": "o+", "raf_loc": "o123456789"}
xmin, xmax, ymin, ymax = 0., 1., 0., 1.
if argument == "raf_loc": f = lambda x, y: 2 * (int(x > 0.5 and y < 0.5) + int(x > 0.75... |
import pandas as pd
import json
def create_hourly_elective_prob_json(
path_to_patient_df_csv: str, output_directory: str = "."
) -> pd.DataFrame:
"""
This function uses data from "patient_df.csv" to create "hourly_elective_prob.json". This is needed
to create the forecast. It is important that "patien... |
import datasetRead
import dataInputFormat
import pickle
from sklearn.neural_network import MLPClassifier
from sklearn.metrics import accuracy_score
from sklearn.tree import DecisionTreeClassifier
from sklearn.svm import SVC
from datasetRead import Dataset
from dataInputFormat import DataInput_Categorical, DataInput_L... |
print(__file__)
print("Loading isstools, preparing GUI...")
import functools
import isstools.xlive
import collections
import atexit
import PyQt5
from bluesky.examples import motor
motor.move = motor.set
detector_dictionary = {colmirror_diag.name: {'obj': colmirror_diag, 'elements': [colmirror_diag.stats1.total.nam... |
def suggest_params(trial):
dropout = trial.suggest_float('dropout', 0, 0.3, step=0.05) # used twice
activation = trial.suggest_categorical('activation', ['linear', 'leakyrelu']) # used for conditional sampling
rna_hidden = trial.suggest_int('rna_hidden', 500, 2000, step=250) # hdim should be less than rn... |
import copy
import torch
from federatedscope.core.auxiliaries.optimizer_builder import get_optimizer
from federatedscope.core.trainers.trainer import GeneralTorchTrainer
from federatedscope.core.optimizer import wrap_regularized_optimizer
from typing import Type
def wrap_DittoTrainer(
base_trainer: Type[Gen... |
from __future__ import print_function, unicode_literals, absolute_import
__all__=["emacs", "notemacs", "vi"]
from . import emacs, notemacs, vi
editingmodes = [emacs.EmacsMode, notemacs.NotEmacsMode, vi.ViMode]
#add check to ensure all modes have unique mode names |
#
# The Template-Python distribution is Copyright (C) Sean McAfee 2007-2008,
# derived from the Perl Template Toolkit Copyright (C) 1996-2007 Andy
# Wardley. All Rights Reserved.
#
# The file "LICENSE" at the top level of this source distribution describes
# the terms under which this file may be distributed.
#
... |
import numpy as np
import torch
from torch.autograd import Variable
from tqdm import tqdm
import utils
from Classifiers.Fashion_Classifier import Fashion_Classifier
from Classifiers.Mnist_Classifier import Mnist_Classifier
from Classifiers.Cifar_Classifier import Cifar_Classifier
from Data.load_dataset import load_dat... |
from django.conf.urls import patterns, url
from django.utils.translation import ugettext_lazy as _
from connect.discover import views
urlpatterns = patterns(
'',
url(_(r'^map/$'), views.member_map, name='map'),
)
|
from django.db.models import Model, CharField, DecimalField
class LeasingMode(Model):
"""yearly and weekly costs to own a vehicle"""
name = CharField(max_length=127)
factor_yearly = DecimalField(max_digits=4, decimal_places=2)
factor_weekly = DecimalField(max_digits=4, decimal_places=2)
def __str... |
from tensorflow import keras
import tensorflow as tf
from tensorflow.keras.applications import vgg16
from tensorflow.keras.layers import Input
def get_loss_network():
loss_net = vgg16.VGG16(include_top=False, weights="imagenet", input_tensor=Input(shape=(256,256,3)))
loss_net_outputs = dict([(layer.name, laye... |
# Copyright 2021 Huawei Technologies Co., Ltd
#
# 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... |
from go_ml_transpiler.model.xgboost.regressor import Regressor
from go_ml_transpiler.utils.model.xgboost import build_tree
import os
class XGBRegressor(Regressor):
SUPPORTED_OBJECTIVE = [
"reg:linear"
]
SUPPORTED_BOOSTER = [
"gbtree",
"dart",
]
def __init__(self, model, ... |
from dataclasses import dataclass
from typing import List, Optional
@dataclass
class User:
id: int
username: str
nickname: Optional[str] = ""
avatar: str = None
email: Optional[str] = None
school: Optional[str] = None
def __repr__(self) -> str:
return f"<User {self.username}>"
... |
#!/usr/bin/python3
# 文件名：mysql_createtable.py
import pymysql
# 打开数据库连接
db = pymysql.connect('localhost','root','1234','fdtest')
# 使用cursor()方法创建一个游标对象cursor
cursor = db.cursor()
# 使用execute() 方法执行SQL查询
cursor.execute("DROP TABLE IF EXISTS EMPLOYEE")
# 使用预处理语句创建表
sql = """CREATE TABLE EMPLOYEE(
FIRST_NAME CHAR(20... |
#Parts of code in this file have been taken (copied) from https://github.com/ml-jku/lsc
#Copyright (C) 2018 Andreas Mayr
nrLayers = hyperParams.iloc[paramNr].nrLayers
nrNodes = hyperParams.iloc[paramNr].nrNodes
basicArchitecture = hyperParams.iloc[paramNr].basicArchitecture
nrInputFeatures = nrDenseFeatures + nrSparse... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
class AlipayOpenAppYiyiyiwuQueryResponse(AlipayResponse):
def __init__(self):
super(AlipayOpenAppYiyiyiwuQueryResponse, self).__init__()
self._chucan = None
@property
... |
def leiaInt(txt):
while True:
try:
n = int(input(txt))
except:
print('ERRO! DIGITE UM NÚMERO INTEIRO VÁLIDO!')
else:
break
return n
def leiaFloat(txt):
while True:
try:
n = float(input(txt).replace(',', '.'))
except:
... |
"""
Created by Epic at 9/1/20
"""
import logging
from asyncio import AbstractEventLoop
__all__ = ("OpcodeDispatcher", "EventDispatcher")
class OpcodeDispatcher:
"""
Receives events identified by their opcode, and handles them by running them through the event loop.
Parameters
----------
loop: A... |
from elasticsearch import Elasticsearch
from elasticsearch.helpers import bulk
from elasticsearch import helpers
import json
import time
class ElasticSearchClient(object):
# 实例和事务化单个node，若需要多个node，需要重构代码
def __init__(self, host="localhost", port=9200):
self.host = host
self.port = p... |
import csv
import encoding_fix
import json
###if you don't have access to the API ####
with open("data/residential_permits_2010-2016.json") as json_infile:
bp_api_data = json.load(json_infile)
json_infile.close()
#read through the JSON file line by line and write it to CSV
with open('data/residential_perm... |
from pwn import *
flag = input("flag: ").replace("\n", "")
ip, port = input("service: ").split(":")
r = remote(str(ip), int(port))
r.sendline("l")
r.sendline("aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa")
r.sendline("bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbtaw")
r.sendline("n")
r.sendline("Fetch watpop KNAAN 𝓯𝓵𝓪𝓰")
res = str(r.recvunt... |
"""User API endpoints test module."""
from tests import utils
class UserAPITests(utils.APITestBase):
"""User API integration tests."""
|
__title__ = "mpsiem_api"
__description__ = "Basic MaxPatrol SEIM API wrapper"
__version__ = "0.0.2"
|
import typing
import discord
from discord.ext import commands
class Guilds(commands.Cog):
def __init__(self, client):
self.client = client
async def on_guild_join(self, guild):
channel = self.client.get_channel(604741076900642826)
await self.client.pool.execute('''INSERT INTO guilds(... |
from pathlib import Path
from pylexibank.dataset import Dataset as BaseDataset
from pylexibank.util import pb
from pylexibank.forms import FormSpec
# Customize your basic data.
# if you need to store other data in columns than the lexibank defaults, then over-ride
# the table type and add the required columns e.g.
#
... |
from abc import ABC, abstractmethod
from collections.abc import Mapping
from typing import Any, Optional
__all__ = ["Client"]
class Client(ABC):
@abstractmethod
async def request(
self,
method: str,
url: str,
*,
headers: Optional[Mapping[str, str]] = None,
) -> Any... |
#! python3
import spiceypy as spice
import numpy as np
from numpy.linalg import norm
if __name__ == "__main__":
#1.
spice.furnsh('lessons/insitu_sensing/kernels/lsk/naif0012.tls')
cass = -82
utc = '2004-06-11T19:32:00'
et = spice.utc2et(utcstr=utc)
print(f'Date and Time: {utc}')
print(f'I... |
from crypto.constants import TRANSACTION_TIMELOCK_TRANSFER
from crypto.transactions.builder.base import BaseTransactionBuilder
class TimelockTransfer(BaseTransactionBuilder):
transaction_type = TRANSACTION_TIMELOCK_TRANSFER
def __init__(self, fee=None):
"""Create a timelock transaction
Args... |
solution = NumberOfValidWordsForEachPuzzle()
assert X == solution.findNumOfValidWords( ) |
import torch
from new_model import NetworkNew
import argparse
import torch.backends.cudnn as cudnn
parser = argparse.ArgumentParser(description='PyTorch Digital Mammography Training')
parser.add_argument('--group_id', default=0, type=int, help='the id of compressed layer, starting from 0')
args = parser.parse_args()
... |
import os
import re
import tempfile
from datetime import date
import chirps
import geopandas as gpd
import pytest
import rasterio
import responses
from click.testing import CliRunner
from fsspec.implementations.http import HTTPFileSystem
from fsspec.implementations.local import LocalFileSystem
from s3fs import S3FileS... |
# Copyright 2014 Baidu, 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 writing, softwa... |
import pytest
from d3rlpy.argument_utility import (
check_action_scaler,
check_encoder,
check_q_func,
check_scaler,
check_use_gpu,
)
from d3rlpy.gpu import Device
from d3rlpy.models.encoders import DefaultEncoderFactory
from d3rlpy.models.q_functions import MeanQFunctionFactory
from d3rlpy.preproce... |
import pickle
import os
import sys
import time
import numpy as np
from colorama import Fore, Back, Style
from ACSN_processing import ACSN_processing
from ACSN_initialization import ACSN_initialization
from ACSN_processing_parallel import ACSN_processing_parallel
from ACSN_processing_video import ACSN_process... |
import os.path
from SConsRevision import SCons_revision
from Utilities import is_windows, whereis, platform, deb_date
from zip_utils import unzipit, zipit, zcat
from soe_utils import soelim, soscan, soelimbuilder
# from epydoc import epydoc_cli, epydoc_commands
from BuildCommandLine import BuildCommandLine
gzip = whe... |
import os
import sys
import numpy as np
import keras
from keras_bert import load_vocabulary, load_trained_model_from_checkpoint, Tokenizer
from keras_bert.layers import MaskedGlobalMaxPool1D
if len(sys.argv) != 2:
print('python load_model.py UNZIPPED_MODEL_PATH')
sys.exit(-1)
print('This demo demonstrates ho... |
import numpy as np
import os.path as osp
import cv2
import torch
import torch.nn.functional as F
from pointmvsnet.utils.io import mkdir
from pointmvsnet.functions.functions import get_pixel_grids
def file_logger(data_batch, preds, step, output_dir, prefix):
step_dir = osp.join(output_dir, "{}_step{:05d}".format... |
import re
test_string = "123qwe678 -ABC91011- vyz"
|
from __future__ import print_function
import numpy as np
import yt
from hyperion.model import Model
import matplotlib as mpl
mpl.use('Agg')
import powderday.config as cfg
from powderday.grid_construction import arepo_vornoi_grid_generate
from hyperion.dust import SphericalDust
from powderday.helpers import energy_... |
# -- coding: utf-8 --
import tensorflow as tf
import scipy.sparse as sp
import pandas as pd
import numpy as np
def get_position(num_roads=49):
'''
:return: shape is [1, 49]
49 represents the numbers of road
'''
return np.array([[i for i in range(num_roads)]], dtype=np.int32)
def sparse_to_tuple(s... |
'''
@Title: Exploring ruins
@Problem Statement:
Edward is playing a simplified version of game called "Dorsplen". This game is played with gems of three different colors: red, green and blue.
Initially player has no gem and there are infinitely many gems of each color on the table.
On each turn a player can either... |
# 1.15 通过某个字段将记录分组
rows = [
{'address': '5412 N CLARK', 'date': '07/01/2012'},
{'address': '5148 N CLARK', 'date': '07/04/2012'},
{'address': '5800 E 58TH', 'date': '07/02/2012'},
{'address': '2122 N CLARK', 'date': '07/03/2012'},
{'address': '5645 N RAVENSWOOD', 'date': '07/02/2012'},
{'addres... |
import logging
logger = logging.getLogger(__name__)
import os
import pipeline.libs.config as cfg
import maya.mel as mel
import maya.cmds as cmds
import pymel.core as pm
# import pipeline.libs.meta as meta
import pipeline.maya_libs.maya_warpper as maya
import pymel.core.nodetypes as nt
# def create_group(name, parent=... |
from mongoengine import Q
from mist.api.tag.models import Tag
from mist.api.helpers import trigger_session_update
from mist.api.helpers import get_object_with_id
def get_tags_for_resource(owner, resource_obj, *args, **kwargs):
return [{'key': tag.key, 'value': tag.value} for tag in
Tag.objects(owner=o... |
'''
shift registers
type:class\n
name-format: shift_register_[name]\n
SIPO\n
PISO\n
SISO\n
PIPO
'''
'''SIPO'''
class shift_register_SIPO():
def __init__(self,level,inputno = None):
self.level = level
self.inputno = inputno
def sr_set(self,inputno):
#list inpu... |
import numba as nb
import pytest
from numba.typed import Dict
from respy.parallelization import _infer_dense_keys_from_arguments
from respy.parallelization import _is_dense_dictionary_argument
from respy.parallelization import _is_dictionary_with_integer_keys
def _typeddict_wo_integer_keys():
dictionary = Dict.e... |
#!/usr/bin/python
# Copyright (c) 2014 The Native Client Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""This script handles all of the processing for versioning packages.
package_version.py manages all of the various operations do... |
"""
Copyright © retnikt <[email protected]> 2020
This software is licensed under the MIT Licence: https://opensource.org/licenses/MIT
"""
import secrets
from typing import TYPE_CHECKING, List, Optional, Union
from argon2 import ( # type: ignore
DEFAULT_MEMORY_COST,
DEFAULT_PARALLELISM,
DEFAULT_TIME_COST,
)
fro... |
import time
import os
from funboost import boost
@boost('test_f1_queue', qps=0.5)
def f1(x):
time.sleep(3)
print(f'x: {x}')
for j in range(1, 5):
f2.push(x * j)
@boost('test_f2_queue', qps=2)
def f2(y):
time.sleep(5)
print(f'y: {y}')
if __name__ == '__main__':
f1.clear()
f2.cl... |
from django.conf.urls import url
from . import views
urlpatterns= [
url(r'^hello-view',views.HelloApiView.as_view()),
]
|
from dockit.backends.indexer import BaseIndexer
from backend import MongoIndexStorage
try:
from bson.objectid import ObjectId
except ImportError:
from pymongo.objectid import ObjectId
class MongoIndexer(BaseIndexer):
def _get_key_value(self):
dotpath = self.filter_operation.dotpath()
valu... |
def main():
numbers = sorted([int(x) for x in input().split()])
diffs = [numbers[i+1] - numbers[i] for i in range(len(numbers) - 1)]
if diffs[0] == diffs[1]:
print(max(numbers) + diffs[0])
else:
if diffs[0] > diffs[1]:
print(numbers[0] + diffs[1])
else:
... |
# import setup
import os.path
import json
import sys
if __name__ == "__main__":
assert sys.version_info >= (3, 7), "Minimum Python version: 3.7.0"
"""
if not os.path.exists("./configinfo.json"):
with open("./configinfo.json", "w") as configinfo_json:
json.dump({"first_time_setup": False... |
int_ = 2
list_ = [1, 2, 3]
|
"""
add account_session table
"""
from yoyo import step
__depends__ = {'20210808_01_sS1X2-add-table-for-processed-sub-ids'}
steps = [
step("""
CREATE TABLE account_session (
id serial primary key,
account_id int not null references account(id),
service varchar(20) not ... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
from app.models.tables import Role as RoleTable
class Role:
pass |
import time
import os
import math
import argparse
from glob import glob
from collections import OrderedDict
import random
import warnings
from datetime import datetime
import joblib
from tqdm import tqdm
import numpy as np
import pandas as pd
from sklearn.model_selection import KFold, StratifiedKFold
import facenet
imp... |
# -*- coding: utf-8 -*-
"""
@brief test log(time=60s)
"""
import sys
import os
import unittest
from pyquickhelper.loghelper import fLOG
from pyquickhelper.pycode import get_temp_folder, is_travis_or_appveyor
from pyquickhelper.pycode import fix_tkinter_issues_virtualenv
from pyquickhelper.ipythonhelper import exe... |
# ----------------------------------------------------------------------
# OID Rule Loader
# ----------------------------------------------------------------------
# Copyright (C) 2007-2018 The NOC Project
# See LICENSE for details
# ----------------------------------------------------------------------
# Python modul... |
# -*- coding: utf-8 -*-
from base64 import urlsafe_b64encode, urlsafe_b64decode
from Cryptodome import Random
from Cryptodome.Util import Padding
from Cryptodome.Cipher import AES
from conf import conf
class AESCipher:
def __init__(self):
self.key = conf['SECRET_KEY']['secret_key'].encode()
def enc... |
from pytransform import pyarmor_runtime
pyarmor_runtime()
__pyarmor__(__name__, __file__, b'\x50\x59\x41\x52\x4d\x4f\x52\x00\x00\x03\x09\x00\x61\x0d\x0d\x0a\x08\x2d\xa0\x01\x00\x00\x00\x00\x01\x00\x00\x00\x40\x00\x00\x00\x2d\x7c\x00\x00\x00\x00\x00\x18\xa3\x54\xc0\x8b\xd9\xf4\x9f\x8f\x59\x62\xb7\xbb\xfb\x46\x82\xe7\x... |
from flask import Blueprint, render_template, request, redirect, url_for, flash
from .forms import LoginForm, RegisterForm
from flask_login import login_user, logout_user, login_required
from ..models import User
from .. import db
main = Blueprint('main', __name__)
@main.route('/', methods=['GET'])
def index():
... |
import numpy as np
import cv2
# create a VideoCapture object
cap = cv2.VideoCapture('kntu-computer.avi')
# sometimes this is needed:
#if not cap.isOpened():
# cap.open();
while True:
# Capture frame-by-frame
ret, I = cap.read()
if ret == False: # end of video (perhaps)
break
# ... |
"""
services.py: queries models to get required inputs to launch a task in the background.
- this scripts abstracts the functions specified in tasks.py
"""
import uuid
from io import StringIO
import os
import pandas as pd
from django.urls import reverse
from django.contrib.sites.shortcuts import get_current_site
from ... |
import _plotly_utils.basevalidators
class FitboundsValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="fitbounds", parent_name="layout.geo", **kwargs):
super(FitboundsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_nam... |
from enum import Enum
from typing import cast, Union, List
from typing_extensions import Literal
from pydantic import BaseModel, Field
from .constrained_types import UnitFloat, PositiveInt
from .shared_blocking_config import BlockingConfigBase
class PSigFilterConfigBase(BaseModel):
type: str
class PSigFilterR... |
"""
spider to get pratices of china.cssc.org
"""
import requests
from bs4 import BeautifulSoup
from flask import Flask, request
app = Flask(__name__)
global href_list
href_list = []
global base_url
base_url = ""
def get_raw_html(url):
"""get raw html from url"""
response = requests.get(url)
response.enc... |
""" Tests for calculations
"""
from __future__ import print_function
from __future__ import absolute_import
import aiida_qeq.tests as tests
from aiida.engine import run
# pylint: disable=too-many-arguments,unused-argument
def test_submit(aiida_profile, clear_database, ionization_file, charge_file,
h... |
"""
Docstring
.. pii: A long description that
spans multiple
lines
.. pii_types: id, name
"""
|
# -*- coding: utf-8 -*-
"""
Created on Fri Feb 22 10:20:10 2019
@author: lwg
"""
# http://www.numpy.org/
import numpy as np
import matplotlib.pyplot as plt
def sigmoid(x):
return 1 / (1+np.exp(-x))
x = np.arange(-5.0, 5.0, 0.1)
y = sigmoid(x)
plt.plot(x, y)
plt.ylim(-0.1, 1.1) # y轴范围
plt.show()
|
from forcuanteller.main import loader, transformer, reporter, sender
from forcuanteller.main.utils.config import config
from forcuanteller.main.utils.gmail import validate_gmail
from forcuanteller.main.utils.logger import logger
from forcuanteller.main.utils.runner import runner
import schedule
import time
from forcua... |
#!/usr/bin/env python3
import sys
import os.path
from setuptools import setup
from subprocess import check_output
import platform
import warnings
SDL_VERSION_NEEDED = (2, 0, 5)
def get_version():
"""Get the current version from a git tag, or by reading tcod/version.py"""
try:
tag = check_output(
... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.http import HttpResponse, HttpResponseBadRequest, HttpResponseNotFound
from django.shortcuts import render
import redis
from django.views.decorators.csrf import csrf_exempt
r_db = redis.StrictRedis(host='localhost', port=6379, db=0)
# Creat... |
# a small script which shows some of the possiblities of the
# LKOpticalTrack filter
# LKOpitcal is good low resource algorithm which is good at tracking points through a video
# stream
from org.myrobotlab.opencv import OpenCVFilterLKOpticalTrack
# create services
opencv = Runtime.createAndStart("opencv","OpenCV")
#... |
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