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"""
@author: <NAME>, <NAME>
@contact: <EMAIL>, <EMAIL>
"""
import math
import os
import random
import time
import warnings
import sys
import argparse
import shutil
import numpy as np
from tqdm import tqdm
import torch.backends.cudnn as cudnn
from torch.optim import SGD
from torch.utils.data import DataLoader
import to... |
#!/usr/bin/env python
import codecs
import io
import os
import subprocess
import sys
import textwrap
import mock
import py
import pytest
from click.testing import CliRunner
from esss_fix_format import cli
@pytest.fixture
def sort_cfg_to_tmpdir(tmpdir):
import shutil
shutil.copyfile(
os.path.join(os.... |
"""
Distillation-prediction, where a distribution of policies is distilled through
behavior cloning into a single model with memory for predicting the next action given
past actions. This could be considered a meta-learned prediction model, or a
prediction model for a POMDP where the unobservable state is the human pol... |
import datetime
import logging
import time
from google.appengine.api import memcache
from google.appengine.api import users
from google.appengine.ext import db
#from google.appengine.ext.db import djangoforms
#from django.forms import ModelForm
from collections import OrderedDict
from django import forms
import sett... |
import json, os
from tqdm import tqdm
import numpy as np
import logging, pickle
from ttt.utils import add_filehandler_for_logger
logging.basicConfig(
format='%(asctime)s.%(msecs)03d %(levelname)s %(module)s - %(funcName)s: %(message)s',
datefmt='%Y-%m-%d %H:%M:%S',
level=logging.INFO
)
logger = logging.get... |
"""
Author: <NAME>
Data Transformation for building classification models
"""
from sklearn.base import TransformerMixin, BaseEstimator
import random
import pandas as pd
import numpy as np
from collections import defaultdict
from sklearn.preprocessing import LabelEncoder, OneHotEncoder
from sklearn.prepr... |
import scipy.sparse
import scipy.io
import sparse
import os
import glob
import numpy
import cv2
# NEEDS TO BE COMMENTED OUT FOR LANKA
# import matplotlib.pyplot as plt
# Get the path to the directory holding random tensors. Error out
# if this isn't set.
TENSOR_PATH = os.environ['TACO_TENSOR_PATH']
# Get the validati... |
"""
This module contains the main command line interface for project creation, testing and handling
"""
from __future__ import absolute_import, division, generators, print_function, nested_scopes, with_statement
import json
import os
import click
import cobra
from gsmodutils.exceptions import ProjectNotFound, Valida... |
"""
Synthetic Data Generation using a Bayesian Network
Based on following paper
<NAME>, <NAME>, <NAME>, <NAME>, <NAME>.
PrivBayes: Private Data Release via Bayesian Networks. (2017)
"""
import numpy as np
import pandas as pd
from pyhere import here
from sklearn.base import BaseEstimator, TransformerMixin
from sklear... |
"""Rattr analyser context and utilities.
A context holds a symbol table for a given scope (file, function, class, etc)
within a given file. All contexts for a file for a tree with unidirectional
references from child context to parent context.
The root context of a file contains, amongst other things, the Python buil... |
## code seems to be working for categorical features
## https://www.cise.ufl.edu/~ddd/cap6635/Fall-97/Short-papers/2.htm
import math
from collections import defaultdict
from collections import Counter
import numpy as np
############## For Classifier Tree ##############
def entropy(Y):
counts_per_class = Counte... |
# selectedPoints.py copyright (c) 2003 <NAME> <<EMAIL>>
# $Id$
#
from module_kits.misc_kit.mixins import SubjectMixin
from modules.viewers.slice3dVWRmodules.shared import s3dcGridMixin
import operator
import vtk
import wx
# -------------------------------------------------------------------------
class outputSelect... |
"""
bases: base classes for a chrisjen project
<NAME> <<EMAIL>>
Copyright 2020-2021, <NAME>
License: Apache-2.0
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... |
'''
Written by <NAME> <<EMAIL>>
First version Nov 9, 2016
Restructured Feb 4, 2018 - get data
Restructured Sep 19, 2018 - DNN training
Restructured Oct 13, 2018 - DNN training
Restructured Feb 18, 2020 - UTI to STFT
Restructured March 2, 2020 - improvements by <NAME> <<EMAIL>>
- swish, scaling to [-1,1], network struc... |
import numpy as np
import itertools
import numba as nb
from .matrices import dict_from_matrix, parasail_aa_alphabet, identity_nb_distance_matrix, tcr_nb_distance_matrix
__all__ = ['nb_hamming_distance',
'nb_vector_hamming_distance',
'nb_editdistance',
'nb_vector_editdistance',
... |
'''
要处理的数据，类似于以下的情况
csv1 = [
"harden|james|curry",
"wrestbrook|harden|durant",
"paul|towns",
]
csv2 = [
"curry",
"wrestbrook|harden|durant",
"paul|towns",
]
csv3 = [
"harden|james|curry",
"durant",
"paul|towns",
]
csv_s= [csv1,csv2,csv3]
csv1 csv2 csv3 代表三个样本，csv_s代表一个bathc中的数据
csvi中的每一个元素，用逗号间隔的，代表一个特征... |
from flask import Flask
from threading import Thread
from flask import send_file, send_from_directory, safe_join, abort, g, session, redirect, request, url_for, jsonify, render_template
import os
import random
import requests
import json
import string
app = Flask('')
import discord
from replit import db
import logg... |
import datetime
from collections import OrderedDict
import pandas as pd
from google.cloud import bigquery
CLIENT = None
PROJECT_ID = None
def insert_date_range(sql, date_range):
start, end = date_range
if start is None and end is None: return sql
if start is None:
return sql + ' WHERE `date` <= ... |
"""Helpers to construct a transformation pipeline
A transformer is, broadly speaking, a function that takes a DataFrame as
it's only argument and returns a new DataFrame. Using this fairly simple
definition we can compose together multiple transformations into new
transformations, and we can parameterize the transform... |
import logging
import os
# import sys
# import datetime
# import csv
import time
from ast import literal_eval
import traceback
# import json
from timeit import default_timer as timer
# import numpy as np
import pandas as pd
from tsfresh.feature_extraction import (
extract_features, ReasonableFeatureExtractionSett... |
import curses, sys, random, time, threading
import numpy as np
from methods.menus import *
import main_menu
import leaderboard
"""
add winning row line
"""
# infinity
INF = float("inf")
#grid size
size = 3
m_menu = ['1 player', '2 player', 'Return home']
botmenu = ['Easy', 'Medium', 'Hard']
s_me... |
# -*- coding: utf-8 -*-
import argparse
import os
import random
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim as optim
import torch.utils.data
import torchvision.datasets as dset
import torchvision.utils as vutils
import numpy as np
import matplotli... |
import csv
import os
import json
import re
import bs4
from lxml import etree
import subprocess
from collections import defaultdict
with open(os.path.join(os.path.dirname(os.path.realpath(__file__)), 'config.json')) as infile:
CONFIG = json.load(infile)
CONFIG['utils_dir'] = os.path.dirname(os.path.realpath(__... |
import numpy as np
import brl_util as util
import adfq_fun
import pdb
from scipy.stats import norm
import matplotlib.pyplot as plt
GAMMA = 0.9
ALPHA = 0.2
def rsme(N):
alpha = 1.0
gamma = 0.9
TH = 15000
init_q = 20.0
init_var = 100.0
scene = 'simple'
#test_names = ['ql-random', 'ql-egreed... |
import os
import logging
import numpy as np
import cv2.cv2 as cv2
import pandas as pd
import random
import json
from PIL import Image, ImageFont
from skimage.util import random_noise
from bbox import BBox2D, XYXY
from logger import log
from ImageGenerator import ImageGenerator
from ImageFunctions import ImageFuncti... |
#
#
# 0=================================0
# | Kernel Point Convolutions |
# 0=================================0
#
#
# ----------------------------------------------------------------------------------------------------------------------
#
# Callable script to start a training on Model... |
#! /usr/bin/env python3
import sys
import argparse
import os
import re
import shutil
from pathlib import Path
WSCRIPT_TEMPLATE = '''# -*- Mode: python; py-indent-offset: 4; indent-tabs-mode: nil; coding: utf-8; -*-
# def options(opt):
# pass
# def configure(conf):
# conf.check_nonfatal(header_name='stdint.h... |
# Copyright 2022, <NAME>
#
# 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... |
# TODO: es muy importante especificar la distincion de que una expression
# puede dar como resultado:
# - un valor entero en memoria.
# - una referencia a un objeto.
# Por tanto assign puede guardar en la direccion de memoria apuntada por
# destiny tanto un numero entero como una referencia a un objeto.
# ... |
"""
Workflow from computing the band structures
"""
from copy import deepcopy
import aiida.orm as orm
from aiida.common.extendeddicts import AttributeDict
from aiida.engine import WorkChain, calcfunction, if_
from aiida.plugins import WorkflowFactory
from aiida.tools import get_explicit_kpoints_path
from ..common imp... |
from islplot.support import *
from islpy import *
import unittest
from test import support
class TestGetVertexCoordinates(unittest.TestCase):
def setUp(self):
return
def tearDown(self):
return
def test_2d_set_a(self):
bset = BasicSet("{[i,j]: 0 <= i <= 10 and j = 0}")
c =... |
from loader import data_loader
import os
import json
from entities import JiraTicket
import re
from utils import print_line_seperator
from nltk.tokenize import word_tokenize
from nltk.stem import PorterStemmer
from nltk.corpus import stopwords
import data_preprocessor
import utils
from sklearn.feature_extraction.text i... |
import itertools
import json
import logging
import operator
import os
import shutil
import time
from collections import Counter
from datetime import datetime, timedelta
from pathlib import Path
from typing import List, Optional
import arrow
import jinja2
import pygit2
from botocore import hooks, xform_name
from botoco... |
# Copyright 2021 Toyota Research Institute. All rights reserved.
import json
import os
from collections import OrderedDict, defaultdict
from typing import Dict
import cv2
import numpy as np
import torch
from detectron2.data import DatasetCatalog, MetadataCatalog
from detectron2.data import detection_utils as d2_util... |
import os
from pathlib import Path
from unittest.mock import MagicMock, Mock
import pytest
from click import FileError, NoSuchOption
from robotidy.cli import read_config, validate_regex
from robotidy.files import find_project_root, read_pyproject_config, get_paths, DEFAULT_EXCLUDES
from robotidy.transformers import l... |
# pylint: skip-file
# type: ignore
# -*- coding: utf-8 -*-
#
# tests.models.programdb.similar_item.similar_item_unit_test.py is part of The
# RAMSTK Project
#
# All rights reserved.
# Copyright since 2007 Doyle "weibullguy" Rowland doyle.rowland <AT> reliaqual <DOT> com
"""Test class for testing Similar Ite... |
import string
import random
from pygments import highlight, token, lexer, styles
from pygments.formatters import get_formatter_by_name
from functools import partial
import panel as pn
class MlirLexer(lexer.RegexLexer):
# This definition comes from a go clone of pygments
# https://github.com/alecthomas/chroma/... |
import math
from itertools import cycle, islice
from typing import List, Union, Tuple, Dict, Callable
import numpy as np
from trescope import DisplayOutputManager, DisplayOutputDesc, FileOutputManager, FileOutputDesc, Trescope
from trescope.config import (Mesh3DConfig, Wireframe3DConfig)
def __displayOutput(rows: i... |
# -*- coding: utf-8 -*-
# Python version: 2.7
#
# Dependency Tree class
# Simon Fraser University
# <NAME>
#
# This module contains is used for loading
# penn treebank format sentences with dependency information
# 2 examples are provided in sampleDepTree.txt
#
from __future__ import absolute_import
import os
import sy... |
import json
import math
import random
import time
from pathlib import Path
from statistics import mean, stdev
from typing import Callable, Dict, List, Optional, Tuple
import pandas as pd
from jenga.corruptions.generic import MissingValues
from jenga.tasks.openml import OpenMLTask
from jenga.utils import BINARY_CLASSIF... |
# -*- encoding: utf-8 -*-
"""
Copyright (c) 2019 - present AppSeed.us
"""
from django.contrib.auth.decorators import login_required
from django.shortcuts import render, get_object_or_404, redirect
from django.template import loader
from django.http import HttpResponse, request
from django import template
from app.mode... |
# -*- coding: utf-8 eval: (yapf-mode 1) -*-
#
# February 19 2015, <NAME> <<EMAIL>>
#
# Copyright (c) 2015, Deutsche Telekom AG
#
# 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.a... |
'''
[1] https://github.com/bearpaw/pytorch-classification
'''
from __future__ import print_function
import argparse
import os
import shutil
import time
import random
import numpy as np
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim as optim
impo... |
import numpy as np
import matplotlib.pyplot as plt
import pickle
from pathlib import Path
import torch
from google.protobuf import text_format
from second.utils import simplevis
from second.pytorch.train import build_network
from second.protos import pipeline_pb2
from second.utils import config_tool
import time
import ... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision.models.resnet import resnet18, resnet34, resnet50
import math
import utils
import argparse
from torch.utils.data import DataLoader
import torch.optim as optim
from tqdm import tqdm
import pandas as pd
# ## Utility Functions
class Lam... |
from functools import wraps
import math
from packaging import version
import warnings
import weakref
import torch
from torch.optim.optimizer import Optimizer
# For torch versions older than 1.4.0 use the UserDefined _LRScheduler (_LRScheduler of older versions) as base class.
if version.parse(torch.__version__) >= v... |
#!/usr/bin/env python
import os, sys, re, copy
import numpy as np
try:
import indigo
except:
pass
import aqml.cheminfo as co
import aqml.cheminfo.graph as cg
import networkx as nx
import aqml.cheminfo.molecule.geometry as cmg
from aqml.cheminfo.molecule.elements import Elements
#__all__ = [ 'rawmol_indigo' ]
T,F... |
import os
import tempfile
import unittest
from LemonGraph import Graph, Serializer, dirlist, Query
node = lambda i: dict((k, Nodes[i][k]) for k in ('type', 'value'))
edge = lambda i: dict((k, Edges[i][k]) for k in ('type', 'value', 'src', 'tgt'))
Nodes = [
{'type': 'foo', 'value': 'bar', 'properties': {'np1k': '... |
# Copyright 2019–2020 Leibniz Institute for Psychology
#
# 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, ... |
__all__ = (
'Pseudowire',
'PseudowireIPv4Neighbor',
'PseudowireIPv6Neighbor',
'PseudowireEviNeighbor',
'PseudowireClass',
# Abstract classes:
'PseudowireNeighbor',
'PseudowireIPNeighbor',
)
import functools
import weakref
import ipaddress
from enum import Enum
from pyats.datastructure... |
# coding: utf-8
from __future__ import unicode_literals, division, absolute_import, print_function
import os
import threading
import sys
import shellenv
import sublime
if sys.version_info < (3,):
str_cls = unicode # noqa
py2 = True
else:
str_cls = str
py2 = False
__version__ = '0.9.0'
__version_inf... |
import json
import numpy as np
import os
from PIL import Image
import pyautogui as ag
import six
import time
import win32gui as wg
def _load_image(image_dir, name):
image = Image.open(os.path.join(image_dir, '{}.png'.format(name)))
image = (np.asarray(image) > 100).astype(np.int32)
image = image[:,:,0] * ... |
import os
import numpy as np
from torch.optim import Adam
from collections import deque
import torch
import torch.nn as nn
from torch.nn import functional as F
from torch.distributions import Categorical
def initialize_weights_he(m):
if isinstance(m, nn.Linear) or isinstance(m, nn.Conv2d):
torch.nn.init.... |
#! /usr/bin/env python3
# -*- coding: utf-8 -*-
# File : visualize-dataset.py
# Author : <NAME>
# Email : <EMAIL>
# Date : 11/18/2018
#
# This file is part of NSCL-PyTorch.
# Distributed under terms of the MIT license.
import os.path as osp
from PIL import Image
import torch.backends.cudnn as cudnn
import matpl... |
from app.core.consts import WebsocketProtocol as protocol
from app.rabbitmq import rabbit_handler
from app.redis.connection import redis_connector
from app.websockets.connection_manager import manager
from datetime import datetime
from loguru import logger
import asyncio
async def join_player(world_id: str, user_id: ... |
import torch,os,random,time
from torch.utils.data import Dataset, DataLoader
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
def test_generate_img():
N = 256
X = np.arange(-3,3,6/N)
Y = np.arange(-3,3,6/N)
X,Y=np.meshgrid(X,Y)
unwraped = []
wrapped = []
'''
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
########################################################################
#
# Project: pyMetalink
# URL: https://github.com/metalink-dev/pymetalink
# E-mail: <EMAIL>
#
# Copyright: (C) 2011, <NAME>
# License: MIT
#
# Permission is hereby granted, free of charge, ... |
"""
Copyright (c) 2018, Sandia National Labs, SunSpec Alliance and CanmetENERGY(Natural Resources Canada)
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 a... |
from datetime import date, timedelta
import random
import easygui
import math
import re
from flexible_logger import log
from decorators import pre_process_inputs
from machine_learning_lib import random_round
# ---------------------------------- REVIEW SCHEDULE STRINGS --------------------------------------
def _g... |
#
# Copyright (c) 2016, 2020, Oracle and/or its affiliates.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License, version 2.0,
# as published by the Free Software Foundation.
#
# This program is also distributed with certain software (including
... |
"""
Tektronix RSA_API .h file Python Conversion
Author: <NAME>
Date created: 5/17
Date edited: 5/17
Windows 7 64-bit
RSA API version 3.9.0029
Python 3.6.0 64-bit (Anaconda 4.3.0)
Download Anaconda: http://continuum.io/downloads
Anaconda includes NumPy and MatPlotLib
Download the RSA_API: http://www.tek.com/model/rsa306... |
import gym
import gym.wrappers
import numpy as np
from scipy.integrate import solve_ivp
import torch
from torchdiffeq import odeint
from experiment_single_embed.data import get_dataset
from symplectic.nn_models import PSD, MLP
from symplectic.symoden import SymODEN_T
from symplectic.utils import from_pickle
def get_... |
"""
Variational Inference algorithm for multivariate Hawkes processes, according to
Linderman, <NAME>., and Adams, <NAME>. Scalable Bayesian Inference for
Excitatory Point Process Networks. arXiv preprint arXiv:1507.03228, 2015.
NOTE: Implementation not finished. Running into numerical issues and/or bugs.
FI... |
# Author: <NAME>
# see https://www.metaculus.com/tournament/realtimepandemic/
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import numpy as np
import datetime as dt
import pandas as pd
from statsmodels.tsa.stattools import adfuller
from statsmodels.graphics.tsaplots import plot_acf, plot_pacf
import... |
from argparse import ArgumentParser
import random
import string
import sys
import time
from typing import Dict, List, Tuple, Sequence, Optional, Union, Set, TypeVar
from PIL import Image, ImageDraw, ImageFont
import keras
from keras.layers import Dense
from keras.models import Sequential
import numpy as np
from wildc... |
import uuid
from django.shortcuts import render
from django.http import HttpResponseRedirect
from django.urls import reverse
from django.conf import settings
from django.db.models import Q
from django.core.files import File
from projects.models import Project, ProjectLog, Environment
from reports.models import Report, ... |
#!/usr/bin/python
#from array import *
#from numpy import *
#from pylab import *
import numpy as np
G = 6.67384e-11
pi = np.pi
twopi = 2.0 * pi
piby2 = .50 * pi
AU_m = 149597870700.00000
##################################################################################################################
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# flake8: noqa
import sys
import os
from pfb import set_threads
import pyscilog
pyscilog.init('pfb')
log = pyscilog.get_logger('PFB')
def main():
_main(dest=log)
def _main(dest=sys.stdout):
from pfb.parser import create_parser
args = create_parser().parse_a... |
# -*- coding: utf-8 -*-
# File: eval.py
import tqdm
import os
from collections import namedtuple
import numpy as np
import cv2
from tensorpack.utils.utils import get_tqdm_kwargs
import config
from utils import *
def post_processing(pred1, temp_weight):
struct = ndimage.generate_binary_structure(3, 2)
margin ... |
'''
# Xs and Os and Deep Reinforcement Learning
### Deep Q-Learning using an Open AI Gym-like Environment
Concise working example of Deep Q-learning applied to an environment similar to gym/envs/toy_text/ in ai gym
#### References
- OpenAI gym: https://github.com/openai/gym/
- Keras-RL: https://github.com/keras-rl/... |
#!/usr/bin/python
# Parse outputs generated for solution to Brent equations
# and solutions found at:
# http://www.algebra.uni-linz.ac.at/research/matrix-multiplication/
import os.path
import os
import sys
import re
import getopt
import circuit
import brent
import glob
def usage(name):
print("Usage: %s [-h] [-x... |
# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
import torch
from torch.utils.data import Dataset
import torchvision.transforms as transforms
import torchvision
import h5py
import numpy as np
import os
import cv2
import skimage.transform
import random
import matplotlib
#from utils import d3_41_colors_rgb
class BaseDataset(Dataset):
def __init__(self,
... |
import datetime
import multiprocessing
import os
import sys
import time
import traceback
import numpy as np
save_dir = os.path.join('checkpoints', 'auto-cifar10')
assert os.path.exists(save_dir)
real_stdout = sys.stdout
real_stderr = sys.stderr
epoch_max_time = 5 # 5 sec per train epoch, typically around 1 sec on ... |
"""
This script was made by soeque1 at 28/07/20.
To implement code of your network using operation from ops.py.
"""
import logging
from logging import getLogger
from typing import List
import torch
from numpy.core.multiarray import concatenate
from torch import nn, tensor
from transformers import GPT2Tokenize... |
import io
import os
import glob
import warnings
from datetime import datetime
from pprint import pprint
from copy import deepcopy
from typing import Any, Optional, Union
import pandas as pd
from .game_map import GameMap
from .dataframe import (
DataFrameLoader,
UnifiedDataFrame,
create_masks,
)
from .code... |
# -*- coding: utf-8 -*-
"""
Folium Tests
-------
"""
import json
import os
import branca.element
import folium
from folium.features import PolygonMarker, RectangleMarker, TopoJson
import jinja2
from jinja2 import Environment, PackageLoader
import pandas as pd
import pytest
from six import PY3
try:
from un... |
from django.shortcuts import render, redirect
from django.contrib import messages
import os, csv, io, numpy as np
from math import sqrt
from .forms import StaffForm
from .models import uCalibrationUpdate, uRawDataModel
from staffs.models import Staff, StaffType
from range_calibration.models import RangeParameter... |
# Copyright 2021, <NAME>
#
# 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, software... |
# pylint: disable=too-many-public-methods
from dataclasses import dataclass
from typing import Dict, List, Optional, TypeVar
from electionguard.utils import get_optional
from .ballot import SubmittedBallot
from .decryption import (
compute_compensated_decryption_share,
compute_compensated_decryption_share_fo... |
"""
Permission read functions.
This is a simple proxy to the permission system implemented in SQL.
See sql/functions.sql
c_can_see_cg C can view existence of CG
c_can_change_cg C can change/delete CG itself,
including add/edit/delete fields
c_can_see_members_cg C c... |
"""
WEC
Author: <NAME> <<EMAIL>>
Has functions set up for checking validity of
- link (valid_link)
- email (valid_email)
"""
from validate_email import validate_email
def valid_link(raw_link, link):
"""
Valid: returns false for links which are social media or have words which not in the zone
Parameter:
... |
import wx
from xlrd import XLRDError
from frames.frame_design import ObjectDialog, SectionSeparator, VGAP, HGAP, GAP
from frames.frame_utilities import GetFilePath
from import_ import FromExcel
import _icons as ico
LIQUID_UNITS = ['stb/day', 'Mstb/day']
GAS_UNITS = ['Mscf/day', 'MMscf/day']
UPTIME_UNITS =... |
"""
Minesweeper game
Download it to scripts directory and import however you like.
I believe there are no name conflicts.
------IMPORTANT-------
you should put minesweeper.root.mainloop() (or root.mainloop())
as a last line in your script in order to
Controls from within your scr... |
from datetime import datetime
from decimal import Decimal
from bson import json_util
from django.core.serializers import serialize
from django.db.models import Sum, Max, Min
from django.shortcuts import render, redirect, get_object_or_404
from . import mongoDatabase
from .forms import WalletAccountForm, WalletCreditF... |
# -*- coding: utf-8 -*-
import os
import shutil
import ipdb
import numpy as np
import string
from collections import Counter
import pandas as pd
from tqdm import tqdm
import random
import time
from functools import wraps
import collections
import sklearn
import utils
# from utils import log_time_delta
from tqdm import... |
import boto3
import json
import logging
import datetime
from calendar import monthrange
from common import create_client
from common import retry
from common import clean_account_name
from common import create_report_table
from common import swap_report_table
from common import get_report_table
from common import ver... |
import cv2
import depthai
import numpy as np # numpy - manipulate the packet data returned by depthai
import math
from math import cos, sin, tan, pi
from paho.mqtt import client as mqtt_client
from time import sleep
import time
from scipy.optimize import minimize
import datetime
broker = '10.44.99.11'
port = 1883
pub... |
from __future__ import print_function, unicode_literals, absolute_import, division
import pkg_resources
# non-standard imports
from astropy import units as u
from astropy.coordinates.matrix_utilities import rotation_matrix
from astropy.coordinates import CartesianRepresentation
from astropy.utils import lazyproperty
f... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Oct 17 18:45:28 2019
@author: eddy
"""
'''
the complete cascade as described in the literature
'''
from error_and_compare import *
from Bob_Alice import *
from binary_protocol import *
from defs_for_cascade import *
import time as tm
import random as... |
import discord
from random import randint, choice
from discord.ext import commands
from decorators import *
from json import loads
from time import time
from asyncio import sleep
from random import choice, randint
from gc import collect
class economy(commands.Cog):
def __init__(self, client):
self.blacklis... |
from typing import Dict, Tuple
import numpy
import math
from HyQPy import HyQObservation
from gym_robo.utils import quaternion_to_euler
from gym_robo.robots import HyQSim
from gym_robo.tasks import HyQState
from gym.spaces import Box
#velocity
class MovingAverageBuffer:
def __init__(self, size=100):
self.s... |
#!/usr/bin/env python2
#
# Copyright (C) 2014 The Android Open Source Project
#
# 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 requi... |
import argparse
from module import NodeBernNet
from utils.load_data import load_data
import torch.optim as optim
import torch
import torch.nn.functional as F
import numpy as np
import matplotlib.pyplot as plt
import logging
import os
from scipy import special
device = torch.device("cuda:0" if torch.cuda.is_available()... |
from threading import Timer
import os
import re
import time
import pickle
from ctypes import *
import ctypes.wintypes as wtypes
from collections import deque
# Library imports
import numpy as np
import torch
import cv2
from mss import mss
import win32.win32gui as wgui
import win32process
import keyboard
import torch.n... |
"""script to train the ssd framework on PASCAL VOC."""
import shutil
import keras
import click
import random
from datetime import datetime
from keras.callbacks import TensorBoard, ModelCheckpoint, LearningRateScheduler
from keras.applications.imagenet_utils import preprocess_input
from keras import backend as K
from... |
import requests
import pandas as pd
import numpy as np
import os
import unidecode as udc
def get_points(place):
"""
Transfers one given place to points by following rules:
1st place = 200p
2nd place = 190p
3rd place = 182p
4th place = 176p
5th place = 172p
6th place = 170p
7th plac... |
import shutil
import logging
from algos.mcts.mcts import MCTSPlayer, MCTSNode
from algos.encoders.trojangoPlane import TrojanGoPlane
from algos.utils import set_gpu_memory_target, save_model_to_disk, load_model_from_disk, display_board, print_loop_info, system_info, bcolors, LOG_FORMAT
from algos.gohelper import *
from... |
#!/usr/local/bin/python
# coding=utf-8
# Create your views here.
from django.http import HttpResponseRedirect, HttpResponse
from django.shortcuts import render, get_object_or_404, redirect
from django.contrib import auth
from django.contrib.auth.decorators import login_required, permission_required
from django.contrib.... |
import uuid as uuid
from uuid import UUID
from django.contrib.auth.base_user import AbstractBaseUser
from django.contrib.auth.models import User
from django.contrib.contenttypes.fields import GenericForeignKey, GenericRelation
from django.contrib.contenttypes.models import ContentType as DjangoContentType
from django.... |
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