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#!/usr/bin/python
import numpy as np
from numpy import dot, random
import matplotlib.pyplot as plt
import time
from scipy.io import loadmat
def softmax(x):
exps = np.nan_to_num(np.exp(x))
return exps/np.nan_to_num(np.sum(exps))
class classifier(object):
def __init__(self, input_size, classes, debug=True)... |
# -*- coding: utf-8 -*-
from opensextant.TaxCat import Taxon, get_taxnode, TaxCatalogBuilder, get_starting_id
import json
catalog = "WFB" # WFB = World FactBook
min_len = 4
min_len_acronym = 3
def evaluate_text(txn, stop):
"""
Consolidate evaluations of text if it is valid to tag or not.
:param txn: Ta... |
import tensorflow as tf
from collections import namedtuple
from abc import abstractmethod
class PreprocessedData(namedtuple("PreprocessedData",
["key", "waveform", "waveform_length",
"speaker_id", "age", "gender"])):
pass
class SourceData(name... |
"""Event tracing."""
import json
import logging
import time
import datetime
import requests
from marshmallow import fields
from ..transport.inbound.message import InboundMessage
from ..transport.outbound.message import OutboundMessage
from ..messaging.agent_message import AgentMessage
from ..messaging.decorators.tra... |
"""
Author: <NAME>
Date: August, 2019
"""
import sys, os, time
sys.path.insert(0, "/export/guanghan/CenterNet-Gluon/dataset")
sys.path.insert(0, "/Users/guanghan.ning/Desktop/dev/CenterNet-Gluon/dataset")
import mxnet as mx
from mxnet import nd, gluon, init, autograd
from gluoncv.data.batchify import Tuple, Stack, P... |
# -*- coding: utf-8 -*-
# (c) Copyright IBM Corp. 2010, 2018. All Rights Reserved.
"""Tests using pytest_resilient_circuits"""
from __future__ import print_function
import pytest
from mock import patch, MagicMock
from resilient_circuits.util import get_function_definition
from resilient_circuits import SubmitTestFunct... |
# Copyright 2015 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 zlib
# from sympy import *
mod = 1000000007
# p0, pl, ph, ps = symbols('p0 pl ph ps', integer=True)
# f3a57af828f277d9cab8453e4d4778b33d4f5906 refs/remotes/origin/example
root = '7c7837741bc79e997484dc56709ef07397d1ee60'
# 5b99b65eafacf910586dd1f50483fd2147f9988d refs/remotes/origin/easy
# root = '3636ca1b8b... |
# Copyright 2021, <NAME>, mailto:<EMAIL>
#
# Part of "Nuitka", an optimizing Python compiler that is compatible and
# integrates with CPython, but also works on its own.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the Lice... |
# Generate attribution results
#
from utils.loading import load
from utils.reading import read
import os
import numpy as np
import cv2
from utils.utils_network import InceptionV1
from utils.attr_computing import compute_attr, compute_deepliftreveal
from utils.utils_activation_maps import create_root_dir, print_result... |
# Copyright 2016 The BigDL 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 applicable law or agreed to in wr... |
# coding: utf-8
#
# Copyright 2014 The Oppia 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 requi... |
"""
Copyright 2019 Samsung SDS
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 ... |
from .enums import GameMode, Mod
import lzma, struct, datetime
class ReplayEvent(object):
def __init__(self, time_since_previous_action, x, y, keys_pressed):
self.time_since_previous_action = time_since_previous_action
self.x = x
self.y = y
self.keys_pressed = keys_pressed... |
"""
Copyright (c) Contributors to the Open 3D Engine Project.
For complete copyright and license terms please see the LICENSE at the root of this distribution.
SPDX-License-Identifier: Apache-2.0 OR MIT
"""
class Tests:
creation_undo = (
"UNDO Entity creation success",
"UNDO Entity creation failed... |
from __future__ import absolute_import
from __future__ import print_function
import os
import scipy
import scipy.signal
import numpy as np
import scipy.io.wavfile
def waveReadAsFloat(wavFileIn):
""" sr, wavData = wavReadToFloat(wavFileIn)
Wrapper over scipy.io.wavfile
Return:
sr: sampling_rate
... |
# encoding: utf-8
"""Gherkin step implementations for presentation-level features."""
import os
import zipfile
from behave import given, when, then
from pptx import Presentation
from pptx.compat import BytesIO
from pptx.opc.constants import RELATIONSHIP_TYPE as RT
from pptx.util import Inches
from helpers import s... |
import os
import os.path
import math
import threading
import torch
import torch.utils.data
import numpy as np
import librosa as lr
import bisect
from torch.utils.data import Dataset
class AudioDataset(Dataset):
def __init__(self, filename, len_sample):
"""
filename: Path to .pt file containing the ... |
# -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2018-2019 Fetch.AI Limited
#
# 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 ... |
from functools import lru_cache
from os.path import commonprefix
import pathlib
from .dataset import SeriesData, hash_obj
from .dataset import SingleData # noqa:F401 (user convenience)
from .series_hdf5_hyperspy import SeriesHdf5HyperSpy
from .series_hdf5_qpimage import SeriesHdf5Qpimage, SeriesHdf5QpimageSubjoined
f... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Main module."""
import argparse
import csv
import json
import logging
import os
import sys
import tkinter as tk
from pathlib import Path
from tkinter import filedialog
from typing import Optional, IO, Union
# from tkinter import messagebox
try:
# If we're not instal... |
from datetime import datetime
from io import BytesIO
import zipfile
from django.db.models import Q
from django.http.response import HttpResponse
from rest_framework import status
from rest_framework.response import Response
from rest_framework import viewsets, permissions
from rest_framework.views import APIView
from... |
# -*- coding: utf-8 -*- #
# Copyright 2020 Google LLC. 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 requir... |
# Copyright (c) Microsoft Corporation. All rights reserved.
#
# MIT License
#
# 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 u... |
import requests
import ast
import logging
import argparse
from pandas import DataFrame
from bs4 import BeautifulSoup
from datetime import datetime
from multiprocessing.pool import ThreadPool
logging.basicConfig(level=logging.INFO)
PAGE_OFFSET_INTERVAL = 30
BASE_URL = "https://www.tripadvisor.com"
N_THREADS = 8 # Dep... |
"""
Dveloper: <NAME>
E-mail: <EMAIL>
Github: https://github.com/vujadeyoon
Date: May 31, 2020.
Title: vujade_videocv.py
Version: 0.1
Description: Video processing with computer vision module
"""
import numpy as np
import math
import cv2
import ffmpeg
class VideoReaderFFmpeg:
def __init__(self, _path_video, _ch... |
import os
import sys
import numpy as np
import math
# add path to sys
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
UTILS_DIR = os.path.dirname(os.path.abspath('src/utils'))
sys.path.append(BASE_DIR)
sys.path.append(UTILS_DIR)
from utils import *
# function to write predictions and ground-truth to file in KI... |
import itertools
import json
from zope.globalrequest import getRequest
from zope.interface import implements
from zope.publisher.interfaces.browser import IBrowserPublisher
from zope.publisher.interfaces import NotFound
from interfaces import IComparator, IComparators
_u = lambda v: v if isinstance(v, unicode) else... |
from django.http import JsonResponse
from django.views.generic import View
from django.contrib.auth.hashers import check_password
from user.models import User, Notification
from user.verify import verify_register, verify_login, verify_edit, verify_change_password, verify_post_notification
from utils.auth import gene... |
import rasterio
import geopandas as gpd
from geopy.geocoders import Nominatim
import shapely
from shapely.geometry import Polygon, Point
from shapely.ops import cascaded_union
import numpy as np
import pickle
import os
def city_folder_creator(cities, adresses):
for city in cities:
os.mkdir(f'{city}')
... |
from Tkinter import *
from math import *
from helper_function import *
WIDTH = 120
HEIGHT = 60
PRIMITIVE = "CUBE" # Chooose between CUBE and PYRIMID
SCALE = 1 # Scale the primitive
########################## Below is the helper functions, nothing needs to be changed ##########################
camera_pos = [ 0,0,-5 ]... |
import asyncio
import base64
import logging
import pprint
import urllib.parse
from xml.etree import ElementTree
ROOT_DESC_PATH = "/root_desc.xml"
ICON_PATH = "/icon.png"
ROOT_DESC_TEMPLATE = """
<?xml version="1.0" encoding="utf-8"?>
<root xmlns="urn:schemas-upnp-org:device-1-0">
<specVersion>
<major>1</m... |
from collections import defaultdict
from sqlalchemy.orm import load_only
from ichnaea.constants import (
PERMANENT_BLACKLIST_THRESHOLD,
TEMPORARY_BLACKLIST_DURATION,
)
from ichnaea.data.base import DataTask
from ichnaea.models import (
Cell,
CellBlacklist,
CellObservation,
Score,
ScoreKey,... |
from bitarray import bitarray
from Visualizer import display_board
from lookup_tables.RayTables import RAY_TABLE,RAY_TABLE_CAPPED
from lookup_tables.MagicNumberGeneration import get_permutations,magic_multiply
import random
with open("MagicNumbers.txt", "r") as f:
MAGIC_NUMBERS = []
for line in f: # read rest ... |
import torch as t
import torch.nn as nn
from torchvision.ops import misc as misc_nn_ops
from torchvision.models.mobilenetv2 import ConvBNReLU
from collections import OrderedDict
from .utils import register_layers
class CNN_constructer(nn.Sequential):
def __init__(self, networklist, upsample_mode='bilinear', outp... |
##########################################################################
#
# Copyright (c) 2018, Image Engine Design Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistrib... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
##
# @file ga-based_image_mapping.py
# @author <NAME> (<NAME> <<EMAIL>>
# @date 2018-06-06
#
# @brief Prototype GA-based mapping of unstructured data to 2-D images.
#
# @remarks The results will be published in a paper submitted to the <a
# href="... |
"""Commands for generating DFT input files. Not intended to be called from
places besides control_script.py."""
import numpy as np
import os
from amlt import reasonable_random_structure_maker, PolymorphD3, try_mkdir
from ase import io
from os.path import isfile
def convert_to_traj(filename, traj_name= 'images.traj')... |
# -*- coding: utf-8 -*-
"""
@author: Turnphy
"""
import numpy as np
from matplotlib import pyplot as plt
from tkinter import *
from tkinter import filedialog
from PIL import ImageTk
import PIL
from scipy.fftpack import fft
from scipy import interpolate
from detect_peaks_py import detect_peaks
# from tkinte... |
# -*- coding: utf-8 -*-
"""
@created on: 11/24/19,
@author: <NAME>,
@version: v0.0.1
@system name: badgod
Description:
..todo::
"""
import torch.nn as nn
import torch.nn.functional as F
import math
import torch
from torch import tensor
import cv2
import numpy as np
class SmallConvNet(nn.Module):
def __init__(s... |
# 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 warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... |
__author__ = "<NAME>"
__version__ = "1.1"
__date__ = "12-10-2021"
# bot.py
import os
import discord
from neural_network import *
import json
import random
from dotenv import load_dotenv
models = {}
jsons = {}
class AverageUser(discord.Client):
async def on_ready(self):
#When booting up
print(f'{... |
#!/usr/bin/python
#hengfengzhang
#20210721
#all right reserved
import os
import sys
import re
import argparse
import shutil
def get_parse():
parser = argparse.ArgumentParser(description='Flating the input filelist with specified macro')
parser.add_argument('-f', '--file' , metavar='vlogfile.f', nargs='+', defaul... |
"""Helpers that help with state related things."""
import asyncio
import datetime as dt
import json
import logging
from collections import defaultdict
from types import TracebackType
from typing import ( # noqa: F401 pylint: disable=unused-import
Awaitable, Dict, Iterable, List, Optional, Tuple, Type, Union)
from... |
import numpy as np
import torch, os
from MiniImagenet_cross_val import MiniImagenet
# from MiniImagenet2 import MiniImagenet2
import scipy.stats
from torch.utils.data import DataLoader
from torch.optim import lr_scheduler
import random, sys, pickle
import argparse
import pandas as pd
from meta import Met... |
#!/usr/bin/env python
# coding: utf-8
#
# usage: python cccc2csv.py
""" cccc.exeコマンドを使って、メトリクス集計されたデータを、より見やすいCSVファイル化する。
CSVファイル化すれば、Excelで簡単に見れる理屈。
ccccについては、以下を参照。
- SourceForge.net: C and C++ Code Counter
http://sourceforge.net/projects/cccc
- UNIXの部屋 検索:cccc (*BSD/Linux/Solaris)
... |
import json
import datetime
import dateutil
import dateutil.parser
from django.db import models
#from tutorial.quickstart.models import UserData
from tutorial.quickstart.fly_me import find_airport_query, flight_search_query, flight_search_query, gql_request, token
import tutorial.quickstart.aa_flight
from tutorial.qui... |
#!/usr/bin/env python3
#############################################################################
# Copyright (C) 2014-2016 OpenEye Scientific Software, Inc.
#############################################################################
# Converting CSV or SDF files into EXCEL
########################################... |
# Copyright 2020 Superb AI, 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 writi... |
import sys
import pygame
import random
import time
pygame.init()
SIZE = width, height = 700, 500
BLOCKSIZE = 10
BLACK = pygame.Color(0, 0, 0)
WHITE = pygame.Color(255, 255, 255)
RED = pygame.Color(255, 0, 0)
GREEN = pygame.Color(0, 255, 0)
CLOCK = pygame.time.Clock()
difficulty = 20
velocity = BLOCKSIZE
score = 0... |
from __future__ import print_function, division
import numpy as np
import numpy.random as npr
import dynet as dy
import time
import sys
import os.path
sys.path.append(os.path.abspath(os.path.realpath(__file__) + '/../../util/'))
import options
import data
# Retrieve command line options
opt = options.rnn_parser().pars... |
# Copyright 2013 New Dream Network, LLC (DreamHost)
#
# 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 a... |
import sys, os
import struct
import json
import numpy as np
import torch
import math
import scipy
import scipy.ndimage
import torchvision.transforms.functional as TF
def generate_icosahedron():
t = (1.0 + math.sqrt(5.0)) / 2.0
# Vertices
num_vertices = 12
vertices = np.zeros((num_vertices, 3), dtype... |
import math
import numpy as np
from enum import Enum
from terran import default_device
from terran.checkpoint import get_class_for_checkpoint
TASK_NAME = 'pose-estimation'
class Keypoint(Enum):
NOSE = 0
NECK = 1
R_SHOULDER = 2
R_ELBOW = 3
R_HAND = 4
L_SHOULDER = 5
L_ELBOW = 6
L_H... |
"""Chalice app and routing code."""
import re
import base64
# Implementation note: This file is intended to be a standalone file
# that gets copied into the lambda deployment package. It has no dependencies
# on other parts of chalice so it can stay small and lightweight, with minimal
# startup overhead.
_PARAMS =... |
#!/usr/bin/env python3
import os
import setuptools
import subprocess
import sys
from setuptools.command.build_ext import build_ext
from setuptools.command.install import install
from setuptools.command.sdist import sdist
from setuptools.extension import Extension
curr_dir = os.path.dirname(os.path.realpath(__file__)... |
from os import environ
import telebot
from flask import Flask, request
import config
import replies
from telegram.ext import Updater, CommandHandler, MessageHandler, Filters, BaseFilter, RegexHandler, ConversationHandler, CallbackQueryHandler
from telegram import ReplyKeyboardMarkup, ReplyKeyboardRemove, InlineKeyboard... |
# NEON AI (TM) SOFTWARE, Software Development Kit & Application Development System
# All trademark and other rights reserved by their respective owners
# Copyright 2008-2021 Neongecko.com Inc.
# BSD-3
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the fo... |
import telebot
from telebot import types
from Messages import *
from dataEgine import *
access_token = '<KEY>'
bot = telebot.TeleBot(access_token)
def inline_menu():
"""
Create inline menu for new chat
:return: InlineKeyboardMarkup
"""
callback = types.InlineKeyboardButton(text='\U00002709 New ... |
from reversi import *
import random
import numpy as np
import math
from copy import deepcopy
invalidMove = (-1, -1)
structure = [n * n, 2 * n * n, 2 * n * n, n * n]
population = 50
bestNetworksPopulation = 5
previousGeneration = 1271
mutationAmount = 0.05
# sigmoid function
def sigmoid(x):
return... |
"""
Trains a simple DNN on the MNIST dataset using the TensorFlow Estimator API.
"""
import logging
import os
import tarfile
import requests
from typing import Callable, Dict, List, Tuple
import tensorflow as tf
from determined.estimator import EstimatorTrial, EstimatorTrialContext, ServingInputReceiverFn
MNIST_TF_... |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
# OS: GNU/Linux, Author: <NAME>.
'''
Unpacking the "Grammatical dictionary" by <NAME> from .zip archive, converting it to the format of exception dictionary
and combining it with the current exception dictionary.
Zaliznyak's dictionary is taken from http://odict.ru/.
'''
im... |
#!/usr/bin/env python
"""Analyze the quality of recommendations."""
# core modules
import math
import click
import implicit
import pandas as pd
import progressbar
# 3rd party modules
from sklearn.base import BaseEstimator
from sklearn.model_selection import train_test_split
def load_data(rating_filepath="ratings.c... |
#!/usr/bin/env python3
# Copyright (c) 2021, <NAME>
#
# SPDX-License-Identifier: MIT
import git
from git import Repo
import io
import os
import requests
import types
import pytest
import problem
from problem import Problem
from problem import Difficulty
repo = Repo()
assert(repo.bare == False)
git = repo.git
init... |
# Copyright 2009-2017 <NAME>.
# This program is distributed under the MIT license.
'''
This module defines decorators that modify context managers.
See their documentation for more information.
'''
import string
import random
from python_toolbox import caching
from .context_manager import ContextManager
def as_... |
from collections import namedtuple
import sqlite3
import random
import os
import pathlib
import shutil
from flask.ext.script import Manager, prompt_bool
from flask import Flask
import dateutil.parser
import time
import simple
from simple import bing_images
DEFAULT_APP = Flask("simple")
try:
from simple.app imp... |
import pandas as pd
import numpy as np
import requests
from datetime import datetime
import time
import os
from bitdotio_pandas import BitDotIOPandas
from config import CONFIG, LOGO, INSTRUCTIONS
from queries import get_status_sql, get_leaderboard_sql, get_batch_sql, get_update_sql
def get_prompt(num_labels, df):
... |
import time
import datetime
import utilities as ut
def time_stats(df, show_month_stat, show_day_stat, months_list, days_list):
"""
Displays statistics on the most frequent times of travel.
Args:
(dataframe) df - Panda dataframe with bikeshare data
(boolean) show_month_stat - show or not s... |
import os
import csv
import requests
import logging
import pandas as pd
from time import time
from bs4 import BeautifulSoup
from datetime import datetime
from typing import List, Dict
from sqlalchemy import create_engine
import warnings
warnings.filterwarnings("ignore")
logging.basicConfig(filename='pipeline.log', le... |
load(":target_recipes.bzl", "TARGET_RECIPES")
load(":repository_locations.bzl", "REPO_LOCATIONS")
def _repository_impl(ctxt):
# Setup the build directory with links to the relevant files.
ctxt.symlink(Label("//bazel:repositories.sh"), "repositories.sh")
ctxt.symlink(Label("//ci/build_container:build_and_in... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
# (c) 2013, <NAME> <<EMAIL>>
# Based on homebrew (<NAME> <<EMAIL>>)
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, eithe... |
import json
import logging
import requests
from blog.models import Entry, Tag, Photo
from django.conf import settings
from django.http import HttpResponse, HttpResponseBadRequest, JsonResponse
from django.urls import reverse
from django.utils.text import slugify
from django.utils.timezone import now
from django.views ... |
'''Define basic blocks
'''
import torch
from torch import nn
from torchmeta.modules import (MetaModule, MetaSequential)
# from torchmeta.modules.utils import get_subdict
import numpy as np
from collections import OrderedDict
import math
import torch.nn.functional as F
'''Adapted from the SIREN repository https://gith... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Sep 1 18:05:49 2019
@author: <EMAIL>
molecular physchemical properties
"""
from rdkit import Chem
from rdkit.Chem import QED
from rdkit.Chem import Crippen
from rdkit.Chem import MolSurf
from rdkit.Chem import Descriptors
from rd... |
from backend import db
from backend.models.dtos.team_dto import (
TeamDTO,
NewTeamDTO,
TeamMembersDTO,
TeamProjectDTO,
)
from backend.models.dtos.organisation_dto import OrganisationTeamsDTO
from backend.models.postgis.organisation import Organisation
from backend.models.postgis.statuses import (
Te... |
# (c) Copyright 2017-2018 OLX
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from collections import OrderedDict
import sys
import yaml
from var_types import VarEntity
try:
from io import StringIO
except ImportE... |
import dolfin as df
import mshr
from pulse.geometry_utils import generate_fibers
from geometry import Microstructure, Geometry, MarkerFunctions
comm = df.MPI.comm_world
# get mesh from Gmsh
mesh = df.Mesh()
fmesh = df.XDMFFile(comm, "./biv_meshes/biv20k.xdmf")
fmesh.read(mesh)
fmesh.close()
base_x = 0.0
# LV
cent... |
import json
import os
from cirrocumulus.abstract_db import AbstractDB
from cirrocumulus.envir import *
from cirrocumulus.io_util import unique_id
def create_dataset_meta(path):
result = {'id': path, 'url': path, 'name': os.path.splitext(os.path.basename(path))[0], 'description': ''}
if os.path.basename(path)... |
#!/usr/bin/env python3
import numpy as np
import logging, io, os, subprocess, json, multiprocessing
SM2_PATH = './csm/sm2'
MIN_READING = 0.02
MAX_READING = 50
TRH = 1000
def get_lines(scans, odometry, indexes, fov):
for scan, pose, index in zip(scans, odometry, indexes):
data = {}
theta = np.radi... |
from announcements import Announcement
from more_tools import BidirectionalMap
message_templates = {
'stocks': '@{user_name} Minigame basic commands: !autoinvest, !introduction, !buy, !companies, !all commands, !my stats',
'stocks_alias': 'stocks',
'company_alias': 'company',
'buy_successful': "@{user_... |
# -*- coding: utf-8 -*-
# Copyright 2012 Fanficdownloader team, 2018 FanFicFare team
#
# 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
#
# Un... |
from simtk.openmm import Vec3
from simtk.unit import nanometer
from simtk.openmm.app import element
from copy import deepcopy
import numpy as np
import itertools
class MaxMonIterExceedError(Exception):
"""Base class for exceptions in this module."""
pass
class MaxPolyIterExceedError(Exception):
"""Base c... |
from sympy import (symbols, MatrixSymbol, Matrix, IndexedBase, Idx, Range,
Tuple, sin)
from sympy.core.relational import Relational
from sympy.utilities.pytest import raises
from sympy.codegen.ast import (Assignment, aug_assign, CodeBlock, For,
AddAugmentedAssignment, SubAugmentedAssignment, MulAugmentedAssig... |
import os
import sys
import hashlib
import marshal
import builtins
from xonsh.lazyasd import lazyobject
def _splitpath(path, sofar=[]):
folder, path = os.path.split(path)
if path == "":
return sofar[::-1]
elif folder == "":
return (sofar + [path])[::-1]
else:
return _splitpath... |
# -*- coding: utf-8 -*-
"""
Created on Thu Apr 29 15:33:38 2021
@author: Jeonghan
"""
import torch
from torch import nn, optim
from torch.utils.data import DataLoader
import tqdm
from torchvision.datasets import ImageFolder
from torchvision import transforms
device = torch.device("cuda" if torch.cuda.is_... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Unit tests for package."""
import unittest
from glob import glob
from pmix.borrow import borrow as borrow_api, cli_parser as borrow_parser
from argparse_to_web import ArgparseToWeb
# from argparse_to_web.argparse_to_web import create_app
from test.config import TEST_... |
# -*- coding: utf-8 -*-
"""
Copyright (c) 2019 <NAME>
MIT License
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... |
""" Helper functions to make fpdf2 Templates more useful """
__author__ = "<NAME> <<EMAIL>>"
__copyright__ = "Copyright (C) 2021 <NAME>"
__license__ = "MIT"
from collections.abc import Sequence
from typing import Union, Tuple, Iterator
from fpdf.fpdf import get_page_format
from .helpers import convert_unit
class ... |
import cv2
import numpy as np
from keras import backend as K
from losses import ActivationMaximization
from optimizer import Optimizer
from regularizers import TotalVariation, LPNorm
from utils import utils
def _get_num_filters(layer):
"""
Returns: Total number of filters within this layer
"""
# For ... |
#!/usr/bin/env python3
#
# This file is part of LiteX.
#
# Copyright (c) 2014-2019 <NAME> <<EMAIL>>
# Copyright (c) 2013-2014 <NAME> <<EMAIL>>
# SPDX-License-Identifier: BSD-2-Clause
import os
import argparse
import importlib
from migen import *
from litex.build.io import CRG
from litex.soc.integration.soc_core im... |
import copy
class Board:
__slots__ = ["columns", "rows", "positions"]
def __init__(self, columns, rows):
self.columns = columns
self.rows = rows
self.positions = {}
def free(self, position, new_piece):
if position in self.positions:
return False
for oc... |
#!/usr/bin/python3
"""Script to train a single-layer perceptron network to learn the AND function"""
class Neuron(object):
"""A Neuron object. It contains inputs, weights and an activation function"""
def __init__(self, inp_lis, w_lis, thresh):
"""Constructor"""
self.y = 0
self.out =... |
import numpy as np
from indicator.oscillator import Atr, Macd, Rsi, Stochastic, Obv
from indicator.trend import BollingerBands, Adx, Slope
from utils.utils import compute_sign_changement
def atr_features(candles):
atr = Atr(candles, 'close')
for avg_type in ['ma', 'ewm', 'wws']:
candles.loc[:, f'atr_7_... |
import jsonpickle
import os
from datetime import datetime
os.system("chcp 65001>nul") # avoids GBK codec error when reading JSON
print(datetime.now())
#course_data_utm_20205 course_data_stg_artsci_20205
with open("course_data_stg_artsci_20205", "r") as f:
all_crs = jsonpickle.loads(f.read())
""" # Filter course... |
import argparse
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import tensorflow as tf
import keras
import keras.backend as K
from keras.models import load_model
from keras.layers import Convolution2D, GlobalAveragePooling2D, Dense
from rme.utils import config_gpu, load_meta
import rme.data... |
#
# Copyright (c) 2011 OpenStack Foundation
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unles... |
# -*- encoding: utf-8 -*-
"""
@File : schema_tools.py
@Time : 2020/4/7 20:48
@Author : chise
@Email : <EMAIL>
@Software: PyCharm
@info :
"""
from datetime import datetime, date
from typing import List
from pydantic import BaseModel, Field
from sqlalchemy import Integer, Boolean, String, Float, DateTime, Tex... |
""" function to read data from dwd server """
from itertools import zip_longest, groupby
from pathlib import Path
from typing import List, Tuple, Optional, Union
import re
from io import BytesIO
import pandas as pd
from python_dwd.additionals.functions import retrieve_parameter_from_filename, retrieve_period_type_from... |
"""Real-world robot pushing problems: push4 and push8.
push4 is the "4-D ACTION" problem from [1]_, a four-dimensional robot pushing
task in which a robot has to push and object to an unknown target and receives
feedback, after completing its task, in the form of the distance from the
pushed object to the target. The ... |
import os
import time
import configparser as cp
import run_nets as r
from absl import flags
from absl import app
FLAGS = flags.FLAGS
#name of flag | default | explanation
flags.DEFINE_string("arch_config","./configs/scale.cfg","file where we are getting our architecture from")
flags.DEFINE_string("network","./topologi... |
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