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"""GitHub Module"""
import json
import requests
from django.contrib.auth.models import User
#from readux import __version__
__version__ = "2.0.0"
class GithubApiException(Exception):
"""custom exception"""
pass
class GithubAccountNotFound(GithubApiException):
"""custom exception"""
pass
class Gith... |
"""
Copyright (c) 2015 SONATA-NFV
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 applicable law or agreed to... |
import pandas as pd
import numpy as np
def update_judges_table():
"""
This function pulls information from multiple url's to create a
table populated with information on all immigration judges. This
table is saved in the current directory as 'judges_courts.csv'.
"""
def get_courts(data):
... |
"""Display the "About Porcupine" button in the "Help" menu."""
from __future__ import annotations
import functools
import itertools
import os
import pathlib
import re
import subprocess
import sys
import tkinter
import webbrowser
from tkinter import ttk
from typing import Any, List, Match, Union
from porcupine import ... |
from mpi4py import MPI
import unittest
import numpy as np
import sys
import pycorgi.twoD as pycorgi
#sys.path.append('../lib')
class Params:
mins = None
maxs = None
lens = None
class Initialization(unittest.TestCase):
Nx = 10
Ny = 20
xmin = 0.0
xmax = 1.0
ymin = 2.0
ymax = 3.... |
from datetime import datetime, timedelta
from functools import lru_cache, partial
from typing import Any, ByteString, Dict, Text, Tuple, Optional, ClassVar, List
from urllib.parse import urljoin, urlparse, urlunparse
import attr
from bs4 import BeautifulSoup, Tag
from requests import Session
from baseball_utils.savan... |
# Copyright 2012 Viewfinder Inc. All Rights Reserved.
"""Handlers for viewing counters generated by logs analysis.
"""
__author__ = '<EMAIL> (<NAME>)'
import json
import os
import re
import time
import logging
from collections import Counter, defaultdict
from functools import partial
from tornado import auth, gen, t... |
# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# License: GNU General Public License v3. See license.txt
from __future__ import unicode_literals
import frappe, random, erpnext
from datetime import timedelta
from frappe.utils.make_random import how_many
from frappe.desk import query_report
from e... |
import argparse
import numpy as np
import torch
import torch.backends.cudnn as cudnn
import torch.optim as optim
import torchvision
import torchvision.transforms as transforms
from torch.nn import CrossEntropyLoss
from torch.utils.data import DataLoader
from tqdm import tqdm
from models.resnet_cifar10 import ResNet18... |
import pickle
import pdb
import random
import unittest
from pathlib import Path
from typing import Any, Tuple
import dask
import numpy as np
from gtsam import Cal3Bundler, Pose3
from scipy.spatial.transform import Rotation
from gtsfm.common.keypoints import Keypoints
from gtsfm.frontend.verifier.degensac import Degen... |
# ----------------------------------------------------------------------------
# meh
# Copyright (c) 2021 TreeCaptcha
#
# 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, in... |
# Copyright (c) 2019 PaddlePaddle 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 appli... |
#!/usr/bin/env python3
# Copyright 2022 Xiaomi Corporation (Author: <NAME>)
#
# See ../../../../LICENSE for clarification regarding multiple 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 Licen... |
import logging
import json
import typing
import azure.functions as func
from requests.exceptions import HTTPError
from shared_code.services.workbench_service import get_rca_task, get_workbench_detail
from shared_code import utils, configurations, transform_utils
from shared_code.exceptions import GeneralException
fro... |
import asyncio
import json
import logging
import os
import yaml
from collections import ChainMap
from pathlib import Path
from . import discovery
from . import knowledge
from . import utils
log = logging.getLogger("disco")
_marker = object()
class Rule:
op = all
def __init__(self, deps, command, op=None, ... |
#!/usr/bin/python
from lennoxs30api.s30exception import S30Exception
from lennoxs30api import lennox_system, lennox_zone, s30api_async
import time
import logging
import sys
import asyncio
###### ENIVRONMENT SETUP #####################
LOG_PATH = "/home/pete" # Directoy to stash the log file in
# EMAIL_ADDRESS = "<... |
import boto3
import uuid
import datetime
import time
from botocore.exceptions import ClientError
rekognition = boto3.client('rekognition')
client = boto3.client('sns')
main_images_bucket_name = "team30ws-mediarepofinal"
resized_images_bucket_name = "team30ws-mediarepofinalresized"
# The sender for the email
SENDER ... |
# -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
# Name: correlate.py
# Purpose: Stream analyzer designed to correlate and graph two properties
#
# Authors: <NAME>
#
# Copyright: Copyright © 2009-2010 <NAME> and the music21 Project
# License: ... |
import os, time, subprocess, random
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.select import Select
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriv... |
import os
import csv
import uuid
import tqdm
import pickle
import langdetect
from langdetect import detect
from . import encoding
class DataDescription(object):
"""
Describes a fields in a CSV
"""
def __init__(self, header_index:int=0, header_keys_special:dict={}) -> None:
"""__init__
... |
"""
--------------------------------------------------------------------
Title: lodcloud_search_api
Author: <NAME>
URL: https://github.com/AntonioGiulio/lod_cloud_search_engine
Description: This module is capable of performing various types of queries on the JSON file offered by lod cloud.
It turns out to b... |
from collections import deque
from tensorflow.python.keras.models import Sequential
from tensorflow.python.keras.layers import Dense
from tensorflow.python.keras.optimizers import Adam
from time import sleep
import numpy as np
import random
import gym
class DQNAgent:
"""Class providing DQN algorithm based on kera... |
import ckan.plugins as plugins
import ckan.plugins.toolkit as toolkit
import validators
from datetime import datetime
import json
import helpers
from ckan.logic import NotFound
from ckan.lib.plugins import DefaultTranslation
from logic import action
import logging
from pylons import config
log = logging.getLogger(__n... |
# Copyright 2014-2020 The PySCF Developers. 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 appl... |
import logging
import numpy as np
import torch
from torch import nn
from torch.serialization import load
from tqdm import tqdm
from torch import optim
from torch.nn import functional as F
from torch.utils.data import DataLoader
from utils.inc_net import IncrementalNet
from models.base import BaseLearner
from utils.tool... |
import os
import subprocess
from pathlib import Path
import standard.experiments as experiments
import standard.experiment_controls as experiment_controls
import standard.experiment_metas as experiment_metas
import tools
import settings
use_torch = settings.use_torch
def local_train(config, path=None, **kwargs):
... |
# -*- coding: utf-8 -*-
from django.contrib import admin
from gestion.forms import LotesAdminForm
from gestion.models import SeriesLotes, DetAnaliticas, Procedencia, CabAnaliticas, Lotes, DetLotes, OrdenProduccion
from maestros.models import Terceros
from produccion.models import DetProcesos
from utils import *
clas... |
from blinky.cli import pass_environment
import os
import click
from PIL import Image, ImageDraw, ImageFont
import time
import requests
@pass_environment
def binance(ctx, symbol):
try:
response = requests.get(f'https://api.binance.us/api/v3/ticker/24hr?symbol={symbol}')
ctx.json_data = response.json... |
from django.contrib import admin
from django.contrib.admin import SimpleListFilter
from django.db import models
from django.utils.translation import ugettext_lazy as _
from powerdns.forms import (
CryptoKeyForm,
DomainForm,
DomainMetadataForm,
RecordForm,
RecordRequestForm,
)
from powerdns.models i... |
#!/usr/bin/env python
#This is a script that calculates collocates for a specific keyword by computing how often each word collocates with the keyword across a text corpus. A measure of the strength of association between the keyword and its collocates (MI) is calculated, and the results are saved as a single file con... |
#! /usr/bin/python3
import sys
import os
import subprocess
import time
import pathlib
import shutil
import delectable
import dlct
def process_targets_folder(singularity_image_path, leaf_script_path, mount_folder_path, targets_folder_path, model_folder_path,
n_submitted) :
# Go training ... |
import torch
from einops import rearrange
from torch.nn.utils.rnn import PackedSequence
import padertorch as pt
from padertorch.modules import fully_connected_stack
from padertorch.modules.normalization import Normalization
from padertorch.modules.recurrent import StatefulLSTM
from padertorch.ops import pack_sequence,... |
# encoding: utf-8
"""
@author: BrikerMan
@contact: <EMAIL>
@blog: https://eliyar.biz
@version: 1.0
@license: Apache Licence
@file: helpers.py
@time: 2019-05-17 11:37
"""
import json
import os
import pathlib
import pydoc
import random
import time
from typing import List, Optional, Dict, Union
import tensorflow as tf
... |
import bpy
import bmesh
import numpy as np
from mathutils import Vector
def find_first_view3d():
'''Helper function to find first space view 3d and associated window region.
The three returned objects are useful for setting up offscreen rendering in
Blender.
Returns
-------
area: object
... |
# Copyright (c) 2019 PaddlePaddle 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 applic... |
#####################################
# WARNING!
# This was designed with little experience in appropriate patterns.
# This is ABSOLUTELY NON RESTful.
# Please never use any of this App methods except from within Slave App.
# Planned for redesign!
#####################################
import logging
logger = logging.g... |
# Copyright (c) 2008, <NAME>. All rights reserved.
#
# 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, merge... |
from collections import defaultdict
from typing import (
Callable,
Dict,
Generator,
Iterable,
List,
Optional,
Set,
Union,
)
from scmrepo.git import Git
from dvc.exceptions import InvalidArgumentError
from dvc.repo.experiments.exceptions import AmbiguousExpRefInfo
from .base import (
... |
import os
import sys
from setuptools import setup
import numpy as np
import numpy.distutils
from numpy.distutils.command.build_ext import build_ext
from numpy.distutils.command.build_src import build_src
from numpy.distutils.command.build import build
import numpy.distutils.core
from subprocess import call
# Path ... |
import math
import logging
import numpy as np
import torch
from torch import nn
import torch.utils.data
from torch.nn import functional as F
from torch.autograd import Variable
def normalize(x):
x_norm = torch.norm(x, p=2, dim=1).unsqueeze(1).expand_as(x)
x_normalized = x.div(x_norm + 0.00001)
return x_n... |
import asyncio
import asyncpg
import random
from fixtures.zenith_fixtures import WalAcceptor, WalAcceptorFactory, ZenithPageserver, PostgresFactory, Postgres
from typing import List
from fixtures.utils import debug_print
pytest_plugins = ("fixtures.zenith_fixtures")
class BankClient(object):
def __init__(self, ... |
from .extensions import db
from datetime import datetime
from werkzeug.security import check_password_hash,generate_password_hash
from flask_login import UserMixin
from app.search import add_to_index,query_index,remove_from_index
class User(db.Model,UserMixin):
id = db.Column(db.Integer,primary_key=True)
... |
import argparse
import json
import logging
import random
import re
from datetime import datetime
from os import listdir
from os.path import join
import numpy as np
import pandas as pd
import torch
from torch.utils.data import DataLoader
from datasets.shapenet import ShapeNetDataset
from metrics.jsd import jsd_between... |
"""Training module."""
import logging
import numpy as np
import os
import torch
from collections import defaultdict
from sklearn.metrics import roc_auc_score
from timeit import default_timer
from tqdm import trange
from flexehr.utils.modelIO import save_model
from utils.helpers import array
class T... |
# Astral solar angles parse
import datetime as dt
from astral import Astral, Location
import pytz
import timezonefinder
import pymongo
from pymongo import MongoClient
# from razon_parse import get_cos_factors
import math
import pandas as pd
from angle_to_position import *
class AstralPositions:
def __init__(self... |
"""
This module implement the ServiceProxy class.
This class is used to provide a local proxy to a remote service for a ZeroRobot.
When a service or robot ask the creation of a service to another robot, a proxy class is created locally
so the robot see the service as if it as local to him while in reality the service ... |
import numpy as np
import argparse
import imutils
import cv2
from scipy.spatial import distance as dist
from imutils import perspective
from imutils import contours
# Variables for each extruder
TRUE_DIST = [2, 4, 6, 8, 10, 12, 14]
REF_CENTER_COORDINATE = []
PROJECTED_COORDINATES = []
COLORS = (
(0, 0, 255),
... |
#coding=utf8
from uliweb.core.taglibs import parse, Loader, parse_xml
tags = {'panel':
"""<div {%=to_attrs(_attrs, {'class':'panel'})%}>
<div class="panel-head">
<h3>{%<< xml(head)%}</h3>
{% if defined('button'):%}
{%<< xml_full('button', button)%}
{%pass%}
</div>
</div>""",
'button':
"... |
#!/usr/bin/python3
#
# https://github.com/eLvErDe/check-open-fds
#
# This is free and unencumbered software released into the public domain.
#
# Anyone is free to copy, modify, publish, use, compile, sell, or
# distribute this software, either in source code form or as a compiled
# binary, for any purpose, commercial o... |
import copy
import random
import numpy as np
import torch
from .. import ModelWrapper
class GCNMixModelWrapper(ModelWrapper):
"""
GCNMixModelWrapper calls `forward_aux` in model
`forward_aux` is similar to `forward` but ignores `spmm` operation.
"""
@staticmethod
def add_args(parser):
... |
# Copyright 2020 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
import textwrap
from abc import abstractmethod
from dataclasses import dataclass
from typing import List, Tuple, cast
from pants.core.util_rules.archive import ExtractedDigest, MaybeExtra... |
"""
MIT License
Copyright (c) 2021 <NAME>
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, merge, publish... |
import tkinter
from tkinter import *
import os
import ctypes
from tkinter import ttk
from tkinter.messagebox import showinfo
import windnd
from tkinter import filedialog
import time
from win32.win32api import GetSystemMetrics
import subprocess
st=subprocess.STARTUPINFO()
st.dwFlags=subprocess.STARTF_USESHOWWINDOW
st.w... |
# Copyright (c) 2021 The Distrobuild Authors
#
# 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, merge,... |
#!/bin/env python3
##Modual Imports#######
from math import *
import pygame
from time import *
from random import *
#######################
class GUI():
def __init__():
### Pygame Setup#######
wd=1200
ht=600
pygame.init()
win = pygame.display.set_mode((wd,ht)... |
#!/usr/bin/env python
#encode=utf-8
#vim: tabstop=4 shiftwidth=4 softtabstop=4
#Created on 2013-8-17
#Copyright 2013 nuoqingyun xuqifeng
import sys
import time
from datetime import datetime, timedelta
from glance import log as logging
LOG = logging.getLogger(__name__)
# Somes libs depends of OS
is_B... |
"""Get the main loaded data"""
from pathlib import Path
from PySide6.QtStateMachine import QState, QAbstractState, QStateMachine, QFinalState, QKeyEventTransition
from abc import abstractmethod, abstractproperty, ABC, ABCMeta
import traceback, sys, enum
from isu.ui import UiLoad
from enum import Enum, auto, unique, ... |
"""
File Name: Serializers
Purpose: Serializers for translating database data before sending it over the API.
Comments:
"""
from django.db.models import Sum
from rest_framework import serializers
from rest_framework.fields import empty
from api.models import BugReport, FeedbackForm
from api.models import Student, Ment... |
from __future__ import absolute_import
import json
import subprocess
import sys
import textwrap
from detect_secrets import VERSION
from detect_secrets.core.baseline import get_secrets_not_in_baseline
from detect_secrets.core.baseline import update_baseline_with_removed_secrets
from detect_secrets.core.log import get_... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import numpy as np
from pylfi.utils import check_1D_data, check_number_of_entries, iqr
from scipy import optimize, special
def histogram(data, bins=10, density=True, **kwargs):
"""
"""
bins = calculate_bins(data, bins=bins)
return np.histogram(data, bins... |
""" Code for performing the case study for the risk quantification paper.
Creation date: 2021 02 03
Author(s): <NAME>
Modifications:
"""
import os
from typing import Callable, List, NamedTuple
import numpy as np
import pandas as pd
from tqdm import tqdm
from simulation import SimulationString, KDE, kde_from_file
#... |
import numpy as np
import multiprocessing
import time
from approx import compute_exact_grid_logpf, bound_logpf, bound_logpf_trw
def generate_model(height, width, min_field, max_field, min_interaction, max_interaction,
seed):
np.random.seed(seed)
magnetic_fields = min_field + np.random.rand(height, w... |
import pickle, shutil, os, re, json
from grtoolkit.Decorators import try_pass
from grtoolkit.File import directoryLastValue
class Pickle:
def __init__(self, fileName):
self.file = fileName
self.contents = None
def load(self):
with open(self.file, 'rb') as file:
self.content... |
import math
import random
import matplotlib.pyplot as plt
import numpy as np
import gym
import os
import json
from policy_gradient.ppo.ppo import PPO
from EnvLib.GeomEnv1 import *
show_animation = True
mark_size = 4
line_size = 2
class Transformation():
def __init__(self):
self.diff_x = 0
self.d... |
# coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... |
from collections import namedtuple
import os
import posixpath
import re
import sys
import urllib.parse
from .exceptions import UnsupportedProtocolError
from .lib import yellow, toabs
ExtractedPath = namedtuple('ExtractedPath',
('format', 'protocol', 'bucket', 'path', 'host')
)
ALLOWED_PROTOCOLS = [ 'gs', 'file', ... |
#!/usr/bin/python
# -*- coding: utf8 -*-
from pprint import pprint
from s3_utils import *
from sqs_utils import *
from urllib import unquote_plus
import random
# 0. Job
job_info = {
'src_type': 's3_inventory',
'inventory_bucket': 'leo-bjs-inventory-bucket',
'inventory_manifest_dir': 'leodatacenter/leodata... |
#coding:utf-8
import requests
import json
from bs4 import BeautifulSoup
from lxml import etree
import re
import time
import os
# header
cookies = ''
header = {
'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.143 Safari/537.36',
'Connection': 'keep-aliv... |
import os
from os import path
import sys
import tempfile
import difflib
import signal
if os.name == 'posix' and sys.version_info[0] < 3:
import subprocess32 as subprocess
else:
import subprocess
def from_file(corr,inp,folder,file_check,fault,limit,time):
inp_temp=tempfile.TemporaryFile(dir=folder)
(head,tail)... |
from nitorch import spatial, io
from nitorch.core import py, utils
import torch
import os
def _crop_to_param(aff0, aff, shape):
dim = aff0.shape[-1] - 1
shape = shape[:dim]
layout0 = spatial.affine_to_layout(aff0)
layout = spatial.affine_to_layout(aff)
if (layout0 != layout).any():
raise V... |
import os
import pytest
from click.testing import CliRunner
from ncpi_fhir_utility import loader, cli, app
from conftest import (
PROFILE_DIR,
EXAMPLE_DIR,
EXTENSION_DIR,
INVALID_RESOURCES,
TEST_SITE_ROOT,
copy_resources_into_ig,
)
VALID_PROFILE_DIR = os.path.join(PROFILE_DIR, "valid")
VALID_... |
from baconian.common.plotter import Plotter
import pandas as pd
from baconian.common.files import *
from collections import OrderedDict
from typing import Union
class SingleExpLogDataLoader(object):
def __init__(self, exp_root_dir: str):
self._root_dir = exp_root_dir
check_file(path=os.path.join(e... |
import argparse
import os
import pickle
from collections import OrderedDict
from torch.utils import data
from utils.helpfunc import get_data_root
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from matplotlib import pyplot as plt
from torch.utils.data import DataLoader
from tqdm... |
from __future__ import print_function
import copy
import numpy as np
import math
class ColorMap(object):
def __init__(self, name):
self.name = name
def get_color(self, x):
pass
def convert_to_intensity(self, x):
x = np.fabs(x)
mask = x > 1.0
x[mask] = 1.0
... |
# $ pythran -DUSE_XSIMD -fopenmp -march=native speedup.py
import numpy as np
#pythran export sort(float[])
def sort(scores):
return np.sort(scores)[::-1]
#pythran export complement(str)
def complement(seq):
seq = list(seq.replace('A', 't').replace('T', 'a').replace('C', 'g').replace('G', 'c').upper())
... |
import numpy as np
import itertools
from scipy.special import gammaln
class bayesian_hclust_cpp():
"""
Bayesian Hierarchical Clustering with critical function using c++ optimized
"""
def __init__(self, model, alpha):
"""
Parameters:
------------
model: class
... |
#/***********************************************************************
# * Licensed Materials - Property of IBM
# *
# * IBM SPSS Products: Statistics Common
# *
# * (C) Copyright IBM Corp. 1989, 2020
# *
# * US Government Users Restricted Rights - Use, duplication or disclosure
# * restricted by GSA ADP Sch... |
# Copyright 2017 Google Inc.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
#
#... |
#! /usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright 2020-2021 Alibaba Group Holding 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 License at
#
# http://www.apache.org/licenses/L... |
"""SciKit Sequitur Core
Python code adapted from a Javascript version written by <NAME>.
"""
class Symbol:
"""Symbol
Initializes a new symbol. If it is non-terminal, increments the reference
count of the corresponding rule.
Tightly coupled with Rule. Not designed for extensibility.
"""
# ... |
import random
import torch
import numpy as np
from tqdm import tqdm
import mmcv
from mmdet.core.bbox import bbox_overlaps
def np_iof(bboxes, canvas):
return bbox_overlaps(
torch.FloatTensor(bboxes),
torch.FloatTensor(canvas),
'iof',
).numpy().reshape(-1)
def iter_empty_crops(w, h, s... |
import os
import numpy as np
from datetime import datetime as dt, timedelta
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine, func
from flask import Flask, jsonify
os.chdir(os.path.dirname(os.path.abspath(__file__)))
###########... |
#!/usr/bin/env python
from __future__ import print_function
import argparse
import cProfile
import pstats
import random
import numpy as np
from examples.continuous_tamp.constraint_solver import cfree_motion_fn, get_optimize_fn
from examples.continuous_tamp.primitives import get_pose_gen, collision_test, distance_fn,... |
import argparse
from inspect import getmodule, getmembers, isfunction
import os
from pathlib import Path
import platform
import subprocess
import sys
import numpy as np
import niaarm
from niaarm import NiaARM, Dataset, get_rules
from niapy.util.factory import get_algorithm
from niapy.util import distances, repair
from... |
import rlp
import uuid
from gear.utils.singleton import Singleton
from gear.utils.types import (
encode_number,
encode_hex
)
from gear.utils.compat import (
thor_block_convert_to_eth_block,
thor_receipt_convert_to_eth_receipt,
thor_tx_convert_to_eth_tx,
thor_log_convert_to_eth_log,
thor_stor... |
# transform train/test data
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.preprocessing import LabelEncoder
from sklearn import metrics
import numpy as np
from sklearn.preprocessing import StandardScaler
def eda(df):
# Exploratory data analysis
# Target variable analysis
plt.hist(df['Su... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from collections import deque
from io import StringIO
from math import ceil
import os
import threading
import unittest
from hwt.simulator.simTestCase import SimTestCase
from hwtLib.examples.axi.debugbusmonitor import DebugBusMonitorExampleAxi
from hwtLib.tools.debug_bus_... |
#!/usr/bin/env python3
#
# Copyright 2020 Google LLC
#
# 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 __future__ import print_function
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.data import Dataset
from torch.optim.lr_scheduler import StepLR
import numpy as np
class Spline(Dataset):
def __init__(self, fname):
self.spl... |
import os
import csv
import cv2
import math
import numpy as np
from sklearn.utils import shuffle
from sklearn.model_selection import train_test_split
from tensorflow import keras
def steering_angle(angle, wheel_base = 2.0, axle_track = 1.6): # vehicle parameters are roughly setted here
if angle != 0:
radi... |
# -*- coding: utf-8 -*-
# @Author : <NAME>
# @Email : <EMAIL>
# @Created Date : 2021-02-24 13:58:46
# @Last Modified : 2021-03-05 18:14:17
# @Description :
import tensorflow as tf
from .nets.efficientnet import EfficientNetB0, EfficientNetB1, EfficientNetB2, EfficientNetB3
from .nets.efficientnet im... |
# Using PyTorch 1.4
import numpy as np
import pyarrow.parquet as pq
import pandas as pd
import random
import torch
import fire
import logging
import os
import csv
from torch.utils.data import Dataset, DataLoader
from transformers import GPT2Tokenizer, GPT2LMHeadModel, AdamW, get_linear_schedule_with_warmup
from tqdm ... |
#!/usr/bin/env python3
"""Library for Network Switch Classes."""
# Copyright 2019 IBM Corp.
#
# 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... |
__author__ = ["<NAME>"]
__copyright__ = "Copyright 2020, National Renewable Energy Laboratory"
__maintainer__ = "<NAME>"
__email__ = ["<EMAIL>"]
import re
import time
from copy import deepcopy
from random import sample
from itertools import product
import yaml
import numpy as np
import pandas as pd
import statsmodel... |
from collections import OrderedDict, namedtuple
from copy import copy
"""Adaptive replacement cache implementation based upon OrderedDict
see https://en.wikipedia.org/wiki/Adaptive_replacement_cache
Every cached element is represented as a list (mutable tuple) of three elements:
IDX (int): 0th, index of an el... |
"""Parsing and validation for Device/Service XML.
Provides a light wrapper around the generated device & service parsers. The
wrappers check for required fields and values. Default values are also
provided for optional fields. Clients of this module can expect that all
fields of the dataclass instances are fully popul... |
#! /usr/bin/env python
import cv2
import numpy as np
from vgg19 import VGG_19
import keras.backend as K
def load_img(path):
transpose_shape = (2, 0, 1)
img_shape = (224, 224)
img = cv2.imread(path, cv2.IMREAD_COLOR)
img = cv2.resize(img, img_shape).astype(np.float32)
img = img.transpose(transpose_... |
#!/usr/bin/env python3
import logging
import datetime
import re
import sys
# The arrow library is used to handle datetimes
import arrow
# The request library is used to fetch content through HTTP
import requests
# please try to write PEP8 compliant code (use a linter). One of PEP8's
# requirement is to limit your lin... |
"""
Based on original haml-watcher.py by <NAME> (<EMAIL>)
Watches a folder for files with the given extensions and calls the HamlPy compiler if the modified time has changed
since the last check.
"""
import argparse
import codecs
import os
import os.path
import sys
import time
from time import strftime
from hamlpy i... |
#!/usr/bin/env python3.3
from time import time
import json
import re
from multiprocessing.pool import ThreadPool
from time import time, sleep
import requests
from websocket import create_connection, WebSocketTimeoutException
from colorama import Fore
LIVEANY_URL = 'http://172.16.58.3:6007/socket.io/'
WS_URL = 'ws://... |
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