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from helpers import poseRt
from frame import Frame
import time
import numpy as np
import g2o
import json
LOCAL_WINDOW = 20
#LOCAL_WINDOW = None
class Point(object):
# A Point is a 3-D point in the world
# Each Point is observed in multiple Frames
def __init__(self, mapp, loc, color, tid=None):
self.pt = np... |
from __future__ import division
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
import numpy as np
from utils.parse_config import *
from utils.utils import build_targets, to_cpu, non_max_suppression
import matplotlib.pyplot as plt
import matplotlib.patches as pa... |
#!/usr/bin/env python3
# Copyright 2019, <NAME> <<EMAIL>>, <NAME> <<EMAIL>>
# SPDX-License-Identifier: BSD-2-Clause
# Reads ms task measurement results from CSV files.
#
# If the path to the results is not given it is read from the following environment variables:
# * SCHED_MSRESULTS
# * SCHED_RESULTS and SCHED_HOST... |
from flask import Flask, render_template, request, redirect, url_for
import tensorflow as tf
from keras.models import load_model
from keras.backend import set_session
from src.utils import image_preprocessing
from src.utils import overall_class_label
from src.utils import infinite_scraper
# sessions and default graphs... |
import torch
import torch.nn as nn
from torchvision import models
import torch.nn.functional as F
def model_parser(model, sum_mode=False, dropout_rate=0.0, bayesian=False):
base_model = None
if model == 'Resnet':
base_model = models.resnet34(pretrained=True)
network = HourglassNet(base_model, ... |
"""MongoDB IO tasks."""
import logging
from typing import List, Optional, Sequence
from urllib.parse import urlparse
import attr
from icecream import ic # noqa pylint: disable=unused-import
from pymongo import MongoClient
from pymongo.errors import ServerSelectionTimeoutError
import voluptuous as vol
from dataplaybo... |
from django.core.management.base import BaseCommand
from django.contrib.auth import get_user_model
from django.template.defaultfilters import slugify, linebreaks, date, truncatechars
from wagtail.core.models import Page
from wagtail.core.rich_text import RichText
from migration.models import *
from accounts.models im... |
import os
import errno
import stat
import logging
from io import BytesIO
from time import time, mktime, strptime
from fuse import FuseOSError, Operations, LoggingMixIn
logger = logging.getLogger('dochub_fs')
def wrap_errno(func):
"""
@brief Transform Exceptions happening inside func into meaningful
... |
import os
import signal
import atexit
import json
import time
from pathlib import Path
import subprocess
import argparse
import pprint
from distutils.util import strtobool
children_pid = []
@atexit.register
def kill_child():
for child_pid in children_pid:
os.kill(child_pid, signal.SIGTERM)
cmd_parser = ... |
"""Tools for working with Cryptopunk NFTs; this includes utilities for data analysis and image preparation for training machine learning models using Cryptopunks as training data.
Functions:
get_punk(id)
pixel_to_img(pixel_str, dim)
flatten(img)
unflatten(img)
sort_dict_by_function_of_value(d, f)
... |
from __future__ import print_function
import pylab as plt
import numpy as np
from django.http import HttpResponse, HttpResponseRedirect, HttpResponseBadRequest, QueryDict
from django.shortcuts import render_to_response, get_object_or_404, redirect, render
from django.template import Context, RequestContext, loader
fr... |
# included from libs/mincostflow.py
"""
Min Cost Flow
"""
# derived: https://atcoder.jp/contests/practice2/submissions/16726003
from heapq import heappush, heappop
class MinCostFlow():
def __init__(self, n):
self.n = n
self.graph = [[] for _ in range(n)]
self.pos = []
def add_edge(s... |
# Copyright (c) 2019 Works Applications Co., Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... |
import itertools
import math
import pprint
import sys
import typing
import map_funcs
GOOGLE_EARTH_AIRPORT_IMAGES = {
'GoogleEarth_AirportCamera_C.jpg' : {
'path': 'video_images/GoogleEarth_AirportCamera_C.jpg',
'width': 4800,
'height': 3011,
# Originally measured on the 100m legend... |
#!/usr/bin/env python3
# (c) 2021 <NAME>
from abc import ABC, abstractmethod
from enum import Enum
from os import linesep
from twisted.internet import reactor
from twisted.internet.error import ConnectionDone
from twisted.internet.protocol import Factory, Protocol
from twisted.logger import Logger
from twisted.protoc... |
# utils for graphs of the networkx library
import copy
import networkx as nx
from networkx.algorithms.shortest_paths import shortest_path
from typing import Any, Union, Optional, Iterator, Iterable, Tuple, Dict, List, cast
LEFT = 0
RIGHT = 1
def top_nodes(graph: nx.Graph,
data: bool = False) -> Union[I... |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import json
from pathlib import Path
import pytest
import cc_net
import cc_net.minify as minify
from cc_net import jsonql, process_wet_fil... |
""" This module contains a pytorch dataset for learning peptide embeddings.
In particular, each "instance" of the dataset comprises two peptide sequences,
as well as the sNebula similarity between them. The sNebula distance reflects
the BLOSSUM similarity transformed from 0 to 1.
"""
import logging
logger = logging.ge... |
# type: ignore
# This is a small script to parse the header files from wasmtime and generate
# appropriate function definitions in Python for each exported function. This
# also reflects types into Python with `ctypes`. While there's at least one
# other generate that does this already it seemed to not quite fit our p... |
'''
Name: color_segmentation.py
Version: 1.0
Summary: Extract plant traits (leaf area, width, height, ) by paralell processing
Author: <NAME>
Author-email: <EMAIL>
Created: 2018-09-29
USAGE:
python3 color_kmeans_vis.py -p /home/suxingliu/plant-image-analysis/sample_test/ -i 01.jpg -m 01_seg.jpg -c 5
'''
... |
"""
A module for calculating the relationship (or distance) between 2 strings.
Namely:
- edit_distance()
- needleman_wunsch()
- align()
- coverage()
"""
from typing import Callable, Tuple, List
from enum import IntEnum
from operator import itemgetter
from functools import lru_cache
import unittest
cl... |
def elastic_rate(
hv,
hs,
v,
s,
rho,
mu,
nx,
dx,
order,
t,
y,
r0,
r1,
tau0_1,
tau0_2,
tauN_1,
tauN_2,
type_0,
forcing,
):
# we compute rates that will be used for Runge-Kutta time-stepping
#
import first_derivative_sbp_operators
... |
import copy
import _mecab
from collections import namedtuple
from typing import Generator
from mecab import MeCabError
from domain.mecab_domain import MecabWordFeature
def delete_pattern_from_string(string, pattern, index, nofail=False):
""" 문자열에서 패턴을 찾아서 *로 변환해주는 기능 """
# raise an error if index is outsid... |
"""Tests for IPython.utils.path.py"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
from contextlib import contextmanager
from unittest.mock import patch
import pytest
from IPython.lib import latextools
from IPython.testing.decorators import (
onlyif_cmds_ex... |
#!/usr/bin/env python3
from flask import Flask, send_file, make_response, Response, g, request, stream_with_context
from io import BytesIO
import atexit
import errno
import os
import subprocess
import threading
INPUT = '/dev/video0'
FFMPEG = "/home/test/ffmpeg-nvenc/ffmpeg"
app = Flask(__name__)
@app.route('/pic')
... |
"""DNS Authenticator for deSEC."""
import json
import logging
import time
import requests
import zope.interface
from certbot import errors
from certbot import interfaces
from certbot.plugins import dns_common
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
@zope.interface.implementer(interfaces.... |
import random
import socket
import time
class client:
def __init__(self, name, address, socket, color):
self.name = name
self.address = address
self.socket = socket
self.color = color
sep = '\n'
def dice_roll():
return (str(random.randint(1, 6)) + ',' + str(random.randint(1... |
import pandas as pd
from tensorflow import keras, reduce_sum, ragged, function, math, nn, reduce_mean
from os import environ
class MaskedEmbeddingsAggregatorLayer(keras.layers.Layer):
def __init__(self, agg_mode='sum', **kwargs):
super(MaskedEmbeddingsAggregatorLayer, self).__init__(**kwargs)
if ... |
# -*- coding: utf-8 -*-
"""
Spyder Editor
Code written by <NAME> with modifications by <NAME> and <NAME>
This file produces plots comparing our first order sensitivity with BS vega.
"""
# %%
# To run the stuff, you need the package plotly in your anaconda "conda install plotly"
import plotly.graph_objs as go
from... |
from typing import Iterable, Optional
from django import VERSION
from django.db.models.base import Model
from django.db.models.fields.related import ManyToManyField
from django.db.models.fields.reverse_related import ManyToOneRel
from django.db.models.manager import Manager
from django.db.models.query import QuerySet
... |
'''Functions and classes to wrap existing classes. Provides a wrapper metaclass
and also a function that returns a wrapped class. The function is more flexible
as a metaclass has multiple inheritence limitations.
A wrapper metaclass for building wrapper objects. It is instantiated by
specifying a class to be to be wra... |
from typing import List, Optional, Sequence, Union
from abc import abstractmethod, ABC
from copy import deepcopy
from sys import _getframe as get_stack
from frozen_box.exception import FrozenException, FrozenKeyError, FrozenValueError
QueryableItem = Union[str, int, slice]
Queryable = Union[QueryableItem, Sequence[Qu... |
# Copyright 2021 AI Redefined Inc. <<EMAIL>>
#
# 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 ... |
#! /usr/bin/env -S python3 -u
import os, shutil, sys, glob, traceback
from easyterm import *
help_msg="""This program downloads one specific NCBI assembly, executes certains operations, then cleans up data
### Input/Output:
-a genome NCBI accession
-o folder to download to
### Actions:
-c bash command ... |
r"""
Super modules
"""
#*****************************************************************************
# Copyright (C) 2015 <NAME> <tscrim at ucdavis.edu>
#
# Distributed under the terms of the GNU General Public License (GPL)
# http://www.gnu.org/licenses/
#*******************************************... |
# Copyright 2015 Google Inc. 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 ag... |
#!/usr/bin/env python
# coding: utf-8
# vim: set ts=4 sw=4 expandtab sts=4:
# Copyright (c) 2011-2013 <NAME> & contributors
#
# 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 restricti... |
import os
import random
from tqdm import tqdm
from collections import defaultdict
from data_genie.data_genie_config import *
from data_genie.data_genie_utils import TRAINING_DATA_PATH, CACHED_KENDALL_TAU_PATH, load_obj, save_obj
from data_genie.data_genie_utils import count_performance_retained, get_best_results
from... |
import pytest
import torch
from packaging.version import parse as V
from torch_complex import ComplexTensor
from espnet2.enh.layers.complex_utils import is_complex
from espnet2.enh.separator.dc_crn_separator import DC_CRNSeparator
is_torch_1_9_plus = V(torch.__version__) >= V("1.9.0")
@pytest.mark.parametrize("inpu... |
import os
import random
import argparse
import multiprocessing
import numpy as np
import torch
from torchvision import models, transforms
from torch.utils.data import DataLoader, Dataset
from pathlib import Path
from PIL import Image
from utils import Bar, config, mkdir_p, AverageMeter
from datetime import datetime
fro... |
"""Simple Bot to reply to Telegram messages.
This is built on the API wrapper, see echobot2.py to see the same example built
on the telegram.ext bot framework.
This program is dedicated to the public domain under the CC0 license.
"""
import logging
import telegram
import requests, json
import traceback
from time import... |
import cv2
import numpy as np
def hex_to_bgr(hx):
hx = hx.lstrip('#')
return tuple(int(hx[i:i + 2], 16) for i in (0, 2, 4))[::-1]
class Rectangle:
def __init__(self, x, y, width, height, max_height, min_db, max_db, color, thickness, reverse):
self.rev = -1 if reverse else 1
self.x = x
... |
import xml.etree.ElementTree as ElementTree
import os
class CARISObject:
"""A generic CARIS object with a name"""
def __init__(self):
"""Initialize with empty name"""
self.name = ''
def __init__(self, name):
"""Initialize with a name provided"""
self.name = name
def ... |
### based on https://github.com/kylemcdonald/Parametric-t-SNE/blob/master/Parametric%20t-SNE%20(Keras).ipynb
import numpy as np
from tensorflow.keras import backend as K
from tensorflow.keras.losses import categorical_crossentropy
from tqdm.autonotebook import tqdm
import tensorflow as tf
def Hbeta(D, beta):
""... |
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import ipdb
import time
# Clustering penalties
class ClusterLoss(torch.nn.Module):
"""
Cluster loss comes from the SuBiC paper and consists of two losses. First is the Mean Entropy
Loss which makes the output to be clos... |
import logging
from datetime import timedelta
from flask import Flask, render_template, redirect, request, url_for, flash
from flask_login import LoginManager, login_user, logout_user, current_user
from preston.crest import Preston as CREST
from preston.xmlapi import Preston as XMLAPI
from auth.shared import db, evea... |
#!/usr/bin/python2.6
#-*- coding: utf-8 -*-
import signal
import subprocess
from glob import glob
from os import listdir
from os.path import basename, dirname
label = 'CentOS_6.9_Final'
def listifaces():
ethernet = []
for iface in listdir('/sys/class/net/'):
if iface != 'lo':
ethernet.app... |
# MIT License
#
# Copyright (c) 2020 <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, publi... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import string
from collections import Counter
import numpy as np
import theano
import theano.tensor as T
punctuation = set(string.punctuation)
punctuation.add('\n')
punctuation.add('\t')
punctuation.add(u'’')
punctuation.add(u'‘')
punctuation.add(u'“')
punctuation.add(u'”... |
#!/usr/bin/env python3
#===============================================================================
# Copyright (c) 2020 <NAME>
# Lab of Dr. <NAME> and Dr. <NAME>
# University of Michigan
#Permission is hereby granted, free of charge, to any person obtaining a copy
#of this software and associated documentation f... |
import pandas as pd
import pandas
import numpy as np
#provide local path
testfile='../input/test.csv'
data = open(testfile).readlines()
sequences={} #(key, value) = (id , sequence)
for i in range(1,len(data)):
line=data[i]
line =line.replace('"','')
line = line[:-1].split(',')
id = int(... |
"""IntegerHeap.py
Priority queues of integer keys based on van Emde Boas trees.
Only the keys are stored; caller is responsible for keeping
track of any data associated with the keys in a separate dictionary.
We use a version of vEB trees in which all accesses to subtrees
are performed indirectly through a hash table... |
"""
Tests the DQM Server class
"""
import json
import os
import threading
import pytest
import requests
import qcfractal.interface as ptl
from qcfractal import FractalServer, FractalSnowflake, FractalSnowflakeHandler
from qcfractal.testing import (
await_true,
find_open_port,
pristine_loop,
test_serv... |
from collections import namedtuple
import json, logging, socket, re, struct, time
from typing import Tuple, Iterator
from urllib.parse import urlparse, parse_qs
from backend import Backend, Change
from protocol import PacketType, recvall, PKT_CHANGE_TYPES, change_from_packet, packet_from_change, send_packet, recv_pack... |
# Noysim -- Noise simulation tools for Aimsun.
# Copyright (c) 2010-2011 by <NAME>, Ghent University & Griffith University.
#
# Basic geometry functions and classes
import numpy
import pylab
EPSILON = 10e-12 # smallest difference for points/directions
#--------------------------------------------------... |
import pytest
import yaml
from nequip.utils import instantiate
simple_default = {"b": 1, "d": 31}
class SimpleExample:
def __init__(self, a, b=simple_default["b"], d=simple_default["d"]):
self.a = a
self.b = b
self.d = d
nested_default = {"d": 37}
class NestedExample:
def __init... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Based on storm.py module from https://github.com/nathanmarz/storm/blob/master/storm-core/src/multilang/py/storm.py, and the examples from https://github.com/apache/incubator-storm/blob/master/examples/storm-starter/multilang/resources/splitsentence.py and http://storm.... |
from sqlalchemy import Column, Integer, String, Float, ForeignKey
from sqlalchemy.engine.create import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
CONNECTION_STRING = "sqlite+pysqlite:///data/db.sqlite"
engine = create_engine(CONNECTION_STRING)
Sess... |
import numpy as np
import matplotlib.pyplot as plt
import os
from pyburst.grids import grid_analyser, grid_strings, grid_tools
# resolution tests
y_factors = {'dt': 3600,
'fluence': 1e39,
'peak': 1e38,
}
y_labels = {'dt': '$\Delta t$',
'rate': 'Burst rate',
... |
#!/usr/bin/env python3
import torrent_parser as tp
import asyncio
import contextlib
import pathlib
import argparse
import pprint
import hashlib
import concurrent.futures
import os.path
import logging
import tqdm
class TorrentChecker(object):
def __init__(self, datadir=pathlib.Path('.'), data_file_globs=["**"],
... |
import jittor as jt
from jittor import nn
from jittor import Module
from jittor import init
from jittor.contrib import concat
from model.backbone import resnet50, resnet101
from model.backbone import res2net101
Backbone_List = ['resnet50', 'resnet101', 'res2net101']
class DeepLab(Module):
def __init__(self, outp... |
"""
LCCS Level 3 Classification
| Class name | Code | Numeric code |
|----------------------------------|-----|-----|
| Cultivated Terrestrial Vegetated | A11 | 111 |
| Natural Terrestrial Vegetated | A12 | 112 |
| Cultivated Aquatic Vegetated | A23 | 123 |
| Natural Aquatic Vegetated | A24 | 124 |
| Art... |
import logging
from abc import ABC, abstractmethod
from file_read_backwards import FileReadBackwards
import threading
import os
class Logger(ABC):
def __init__(self,filename):
self.lock = threading.Lock()
self.dir = "Logs"
if(not os.path.isdir(self.dir)):
os.mkdir(self.dir)
... |
import re
import sys
import os
# Lists of same characters
alpha_equiv = ['Α','Ά','ά','ὰ','ά','ἀ','ἁ','ἂ','ἃ','ἄ','ἅ','ἆ','ἇ','Ἀ','Ἁ','Ἂ','Ἃ','Ἄ','Ἅ','Ἆ','Ἇ','ᾶ','Ᾰ','Ᾱ','Ὰ','Ά','ᾰ','ᾱ'] #Converts to α
alpha_subscripted = ['ᾀ','ᾁ','ᾂ','ᾃ','ᾄ','ᾅ','ᾆ','ᾇ','ᾈ','ᾉ','ᾊ','ᾋ','ᾌ','ᾍ','ᾎ','ᾏ','ᾲ','ᾴ','ᾷ','ᾼ','ᾳ'] #Converts to... |
def get_lorawan_maximum_payload_size(dr):
mac_payload_size_dic = {'0':59, '1':59, '2':59, '3':123, '4':230, '5':230, '6':230}
fhdr_size = 7 #in bytes. Assuming that FOpts length is zero
fport_size = 1 #in bytes
frm_payload_size = mac_payload_size_dic.get(str(dr)) - fhdr_size - fport_size
ret... |
import common
import student_code
import array
class bcolors:
RED = "\x1b[31m"
GREEN = "\x1b[32m"
NORMAL = "\x1b[0m"
def read_data(training_data, test_data1, gold_data1, filename):
data = array.array('f')
test = array.array('f')
with open(filename, 'rb') as fd:
data.... |
from bottle import request, response, HTTPResponse
import os, datetime, re
import json as JSON
import jwt
class auth:
def gettoken(mypass):
secret = str(os.getenv('API_SCRT', '!@ws4RT4ws212@#%'))
password = str(os.getenv('API_PASS', 'password'))
if mypass == password:
... |
import pandas as pd
import numpy as np
import math
import matplotlib.pyplot as plt
from sklearn import feature_selection as fs
from sklearn import naive_bayes
from sklearn import model_selection
from sklearn import metrics
from sklearn import linear_model
from sklearn import svm
from imblearn.under_sampling import Ne... |
# -*- coding: utf-8 -*-
"""
Created on Sun Jul 4 17:01:28 2021
@author: fahim
"""
from keras.models import Model
from keras.layers import Input, Add, Activation, ZeroPadding2D, BatchNormalization, Conv2D, AveragePooling2D, MaxPooling2D
from keras.initializers import glorot_uniform
def identity_block(X, f, filters, ... |
from datetime import datetime
import timebomb.models as models
def test_Notification():
notif = models.Notification("message")
assert notif.content == "message"
assert notif.read is False
assert str(notif) == "message"
def test_Player():
player = models.Player("name", "id")
assert player.... |
"""An extension for workspace rules."""
load("@bazel_skylib//lib:paths.bzl", "paths")
load("//:dependencies.bzl", "dependencies")
def _workspace_dependencies_impl(ctx):
platform = ctx.os.name if ctx.os.name != "mac os x" else "darwin"
for dependency in dependencies:
ctx.download(
executabl... |
import bybit
import math
import pandas as pd
import time
from datetime import datetime
from dateutil.relativedelta import relativedelta
# settings
num_orders = 3
order_size = 1
order_distance = 10
sl_risk = 0.03
tp_distance = 5
api_key = "YOUR_KEY"
api_secret = "YOUR_SECRET"
client = bybit.bybit(test=False, api_key=... |
from __future__ import absolute_import
from collections import namedtuple
from datetime import datetime, timedelta
import pytz
from casexml.apps.case.dbaccessors import get_open_case_docs_in_domain
from casexml.apps.case.mock import CaseBlock
from casexml.apps.case.xml import V2
import uuid
from xml.etree import Elemen... |
"""
psatlib -- An imported library designed for PSAT running with Python scripts.
Created by <NAME> (<EMAIL>)
Created on: 06/11/2018
Last Modified on: 10/01/2018
"""
__name__ = "psatlib"
__version__ = "0.1"
__author__ = "<NAME>"
__author_email__ = "<EMAIL>"
__copyright__ = "Copyright (c) 2018 Zhijie Nie"
__d... |
#!/usr/bin/env python
# This software was developed in whole or in part by employees of the
# Federal Government in the course of their official duties, and with
# other Federal assistance. Pursuant to title 17 Section 105 of the
# United States Code portions of this software authored by Federal
# employees are not su... |
import sys
import argparse
import matplotlib.pyplot as plt
import numpy as np
import pickle
def load_obj(name):
pkl_path = ""
with open(pkl_path + name + ".pkl", 'rb') as f:
return pickle.load(f)
def load_prun_obj(name):
pkl_path = ""
with open(pkl_path + name + ".pkl", 'rb') as f:
r... |
"""The module contains functions to preprocess input
datasets into usable format."""
import gc
import gzip
import json
import logging
import multiprocessing as mp
import pathlib
import sys
from itertools import repeat
import numpy as np
import scipy.sparse as smat
logging.basicConfig(
stream=sys.stdout,
format... |
import json
import uuid
from dataclasses import dataclass
from typing import Callable, Sequence, Any, Optional, Tuple, Union, List, Generic, TypeVar
from serflag import SerFlag
from handlers.graphql.graphql_handler import ContextProtocol
from handlers.graphql.utils.string import camelcase
from xenadapter.task import ge... |
#!env python3
"""
Introducing static object in the world.
Tasks:
1. File got really long - move all classes to library file and import
them here.
"""
import pygame
from pygame import K_ESCAPE, K_LEFT, K_RIGHT, K_UP, K_DOWN, QUIT
class Game():
def __init__(self):
"""
Set basic configura... |
import rclpy
import json,numpy
from numpy import clip
from rclpy.node import Node
from std_msgs.msg import Float64MultiArray
from sensor_msgs.msg import JointState
from diagnostic_msgs.msg import DiagnosticStatus, KeyValue
import can
from tinymovr import Tinymovr
from tinymovr.iface.can import CAN
from tinymovr.units... |
import os
import sys
import math
# 3.1 using single array to implement 3 stacks
# 1) - using 3 indexes to for each stack pointers, and 3 size to set maximum of stack
# 2) - using 3 indexes, 1 begin at the first index and increase, 1 begin at the bottom and decrease, 1 at the bottom and re-balanced every time
class Ar... |
#!/usr/bin/python3
# author mhakala
import json
import re
import subprocess
import tempfile
import os
import xml.etree.cElementTree as ET
import argparse
import os.path
import time
import random
from datetime import datetime
from datetime import timedelta
import traceback
import configparser
import glob
def jobs_runn... |
# Licensed under a 3-clause BSD style license - see LICENSE.rst
"""WCS related utility functions."""
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
from astropy.wcs import WCS
from astropy.coordinates import Angle
__all__ = [
'linear_wcs_to_arrays',
'linea... |
from generator.actions import Actions
import random
import string
import struct
import numpy as np
import math
import datetime as dt
import ctypes
def kaprica_mixin(self):
if hasattr(self, 'xlat_seed'):
return
def xlat_seed(seed):
def hash_string(seed):
H = 0x314abc86
f... |
import requests
import json
import os
import sys
import shutil
from .azureblob import AzureBlob
from .azuretable import AzureTable
from .timeutil import get_time_offset, str_to_dt, dt_to_str
from .series import Series
from .constant import STATUS_SUCCESS, STATUS_FAIL
from telemetry import log
# To get the meta of a ... |
import csv
import os.path
import random
import numpy as np
import scipy.io
import torch
import torchvision
from torch.utils.data import Dataset
# from .util import *
from data.util import default_loader, read_img, augment, get_image_paths
class PIPALFolder(Dataset):
def __init__(self, root=None, ... |
import codecs
import collections
import io
import os
import re
import struct
from .instruction import Instruction
from .opcode import Opcodes
from .registers import Registers
from .section import Section
from .symbol import Symbol
def p32(v):
return struct.pack('<I', v)
def unescape_str_to_bytes(x):
return c... |
import os
import ipaddress
import numpy as np
import pandas as pd
import datetime
import boto3
import gzip
import json
from signal_processing import signalProcess
BUCKET_NAME = os.environ.get("BUCKET_NAME", None)
VPC_FLOW_LOGS_PATH = os.environ.get("VPC_FLOW_LOGS_PATH", None)
FINDINGS_PATH = os.environ.get("FINDINGS_... |
#!/usr/bin/env python3
import sys
import ujson as json
import json as json_orig
import traceback
import re
import argparse
import os.path
import operator
import requests
from threading import Thread
from queue import Queue
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib... |
#!/usr/bin/env python3
"""This python program deploys the files needed by the Hillview service
on the machines specified in the configuration file."""
# pylint: disable=invalid-name
from argparse import ArgumentParser
import tempfile
import os.path
from hillviewCommon import ClusterConfiguration, get_config, get_l... |
# -*- coding: utf-8 -*-
"""
Created on Wed Dec 4 13:54:27 2019
@author: eric.qian
"""
from collections import Counter
from itertools import combinations
# Numeric hand rankings, higher integer value is stronger hand
HAND_RANKINGS = {0: 'High Card',
1: 'One Pair',
2: 'T... |
from datetime import datetime
import traceback
import boto3
from botocore.exceptions import ClientError
from ...config import config
from ...log import log
class Submitter():
def __init__(self, event):
self.event = event
def find_instance(self, instance_id, mac_address): # pylint: disable=R0201
... |
import logging
from flask import Response, make_response, request
from microraiden import HTTPHeaders as header
from flask_restful.utils import unpack
from microraiden.channel_manager import (
ChannelManager,
)
from microraiden.exceptions import (
NoOpenChannel,
InvalidBalanceProof,
InvalidBalanceAmoun... |
# -*- coding: UTF-8 -*-
"""
split_by_area
===========
Script : split_by_area.py
Author : <EMAIL>
Modified: 2018-08-27
Purpose : tools for working with numpy arrays
Notes:
-----
The xs and ys form pairs with the first and last points being identical
The pairs are constructed using n-1 to ensur... |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
import numpy.random as rand
import numpy as np
import pandas as pd
import random
import math
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib.animation import FuncAnimation
from Particle import Particle
#Initialization of the plots
fig = plt.figure(figsize=(20,10))
axes = [None... |
import numpy as np
from models import *
from datasets import *
from util import parse_funct_arguments
import pickle
import itertools
def mse(y_true, y_mdl):
return np.mean((y_true - y_mdl)**2)
def train(mdl, dset):
# Get train
u_train, y_train = dset.get_train()
# Fit
X_train, z_train = construc... |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
import os
import shutil
import argparse
import subprocess
import numpy as np
import contextlib
import onnx
from cvi_toolkit.utils.mlir_shell import *
from cvi_toolkit.utils.intermediate_file import IntermediateFile
@contextlib.contextmanager
def pushd(new_dir):
previous... |
from flask import Flask, render_template, request, redirect, url_for, Markup, \
flash # Imports Flask and all required modules
import databasemanager # Provides the functionality to load stuff from the database
app = Flask(__name__)
import errormanager # Enum for types of errors
# DECLARE datamanager as... |
from cryptography.fernet import Fernet
import os
import discord
import aiohttp
import secrets
from urllib.parse import quote
from dotenv import load_dotenv
load_dotenv()
class OAuth:
def __init__(self):
# User Provided Data
self.client_id = os.getenv("CID")
self.client_secret = os.getenv("C... |
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