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#!/usr/bin/env python
# coding: utf-8
import pandas as pd
import logging
from amulog import config
from logdag import log2event
from . import evgen_common
from . import filter_log
_logger = logging.getLogger(__package__)
FEATURE_MEASUREMENT = "log_feature"
class LogEventDefinition(log2event.EventDefinition):
... |
#!/usr/bin/env python
#
# Copyright (C) 2018-2020 Apple 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:
# 1. Redistributions of source code must retain the above copyright
# notice, this... |
import sys
import os
import ast
if "--silent" in sys.argv:
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
if "--cpu" in sys.argv or "--cpu_only" in sys.argv:
os.environ["CUDA_VISIBLE_DEVICES"] = "-1"
from math import sqrt
from argparse import ArgumentParser, Namespace
from datetime import datetime, timedelta
from ... |
import sys
import time
import math
import pdb
from PyQt4 import QtGui, QtCore
import serial
import new_era_vp as new_era
# ToDo | 1. Command each pump independently
# Syringe diameters
syringes = {'1 ml BD': '4.699',
'3 ml BD': '8.585',
'5 ml BD': '11.99',
'10 ml BD':... |
# MIT License
#
# Copyright (c) 2020-2022, <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, merg... |
import bson
import pytest
import xarray
from xarray_mongodb import DocumentNotFoundError, XarrayMongoDB
from . import assert_chunks_index
from .data import (
da,
ds,
expect_da_chunks,
expect_da_meta,
expect_ds_chunks,
expect_ds_meta,
expect_meta_minimal,
parametrize_roundtrip,
)
def ... |
import torch
import torch.nn as nn
import tridepth_renderer.cuda.rasterize as rasterize_cuda
from . import vertices_to_faces, rasterize_image
def flip(x, dim):
"""
Flip tensor in specified dimension.
"""
indices = [slice(None)] * x.dim()
indices[dim] = torch.arange(x.size(dim) - 1, -1, -1,
... |
# -*- coding: cp1252 -*-
#Copyright © 2015 B3nac
import os
import sys
import random
import math
import pygame as pg
import galaxyMap
import topscore
from gamedata import constants as a
from gameobjects import blocks
from gameobjects import enemies
from gameobjects import speedpowerup
from gameobjects import galaxywh
fr... |
from typing import List, Dict, cast
import numpy as np
from ...math.matrix import Matrix
from ...common.config import Config
from ...collision.algorithm.gjk import PointPair
from ...collision.detector import Collsion
from ..body import Body
# FIXME:
def generate_relation(bodya: Body, bodyb: Body) -> int:
# Comb... |
import sys
import os
from docopt import docopt
from apiclient.http import MediaFileUpload
import core.schedule as schedule
import core.auth as conf_auth
import core.excel_db as excel_db
USAGE = """
Upload the Videos to YouTube
Usage:
upload_yt_videos.py <video_list.xlsx> <video_root_path> [--no-update]
"""
argu... |
import os
import logging
import jsonpickle
import boto3
from botocore.exceptions import ClientError
from aws_xray_sdk.core import xray_recorder
from aws_xray_sdk.core import patch_all
import tasktable
import taskurl
import taskmessage
import ecsutil
logger = logging.getLogger()
logger.setLevel(logging.INFO)
patch_all... |
import math
import numpy as np
from PIL import Image
from skimage import color, io
def load(image_path):
"""Loads an image from a file path.
HINT: Look up `skimage.io.imread()` function.
Args:
image_path: file path to the image.
Returns:
out: numpy array of shape(image_height, imag... |
#!/usr/bin/python
from __future__ import division
import numpy as np
import random
import pygame
from shapely.geometry import LineString
# pyGame initialization
FPS = 60
QFPS = 240
SCREEN_WIDTH, SCREEN_HEIGHT = 640, 480
pygame.init()
FPS_CLOCK = pygame.time.Clock()
SCREEN = pygame.display.set_mode((SCREEN_WIDTH, SCREE... |
import os
import sys
import time
from argparse import ArgumentParser
import math
import numpy as np
import time
import torch
from torch.optim.lr_scheduler import MultiStepLR
import torch.utils.data.distributed
from src.model import model, Loss
from src.utils import dboxes300_coco, Encoder
from src.evaluate import ev... |
# ----------------------------------- IMPORTS -------------------------------------- #
from tkinter.ttk import *
from win10toast import ToastNotifier
from tkinter import *
import math
# ---------------------------- CONSTANTS AND VARIABLES ------------------------------- #
COUNTER_VELOCITY = 1000
PINK = "#e2979c"
RED ... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions import (Transform, TransformedDistribution,
AffineTransform, Distribution)
from torch.distributions import constraints
from torch.distributions.normal import Normal
from torch.distributions.multiv... |
# -*- coding: utf-8 -*-
"""
This module contains the functions necessary to correct atom probe datasets
for systematic energy deficits. Details on the algorithm are given in a
manuscript titled:
``An Algorithm for Correcting Systematic Energy Deficits in the Atom Probe
Mass Spectra of Insulating Samples''
Cre... |
# Copyright (c) 2021, NVIDIA CORPORATION. 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... |
"""metadata utilities"""
from collections import namedtuple
from datetime import date, datetime, time
from decimal import Context, Decimal, ROUND_HALF_UP
from html.parser import HTMLParser
from itertools import zip_longest
from re import compile, finditer, sub
from secrets import choice
from string import ascii_letters... |
from argparse import Namespace
from typing import List, Tuple
import torch
from chemprop.data import CrystalDatapoint, CrystalDataset
# Memoization
CRYSTAL_TO_GRAPH = {}
ATOM_FDIM = 92
BOND_FDIM = 54
def clear_cache():
"""Clears featurization cache."""
global SMILES_TO_GRAPH
SMILES_TO_G... |
import os
import requests
from selenium import webdriver
import selenium as se
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.chrome.options import Options
from selenium.common.e... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# anited. publish - Python package with cli to turn markdown files into ebooks
# Copyright (c) 2014 <NAME>
#
# Distributed under the MIT License
# (license terms are at http://opensource.org/licenses/MIT).
"""This module offers the output classes used to transform book ... |
from typing import List, Optional, Union
import numpy as np
import pandas as pd
import pytest
import scipy.sparse as sps
import tabmat as tm
from tabmat import from_pandas
from tabmat.constructor import _split_sparse_and_dense_parts
from tabmat.dense_matrix import DenseMatrix
from tabmat.ext.sparse import csr_dense_s... |
import os
import numpy as np
import argparse
import time
import torch
from utils.net_utils import adjust_learning_rate, save_checkpoint, clip_gradient, calc_grad_norm
from utils.box_utils import sample_proposals
from model.dc_vgg16 import DC_VGG16_DET, DC_VGG16_CLS
from datasets.tdet_dataset import TDETDataset
from m... |
#!/usr/bin/env python3
import datetime
import dateutil.parser
import os
from path import cd
import simplejson as json
import sqlite3
import subprocess
import sys
import yaml
import log
warn, info, debug, fatal = log.reporters()
class UnsupportedDBType(Exception):
pass
class DBNotFound(Exception):
pass
class ... |
import http.client
import logging
from telegram import Update, ParseMode, InlineKeyboardMarkup, InlineKeyboardButton, Chat
from telegram.ext import TypeHandler, CallbackContext, CommandHandler, MessageHandler, Filters
from bot import settings
from bot.const import TELEGRAM_BOT_TOKEN, DATABASE_FILE, DEBUG
from bot.git... |
import atomium
import numpy as np
def parse_pdb(pdb_file_path, pdbid, chainid):
chain = atomium.open(pdb_file_path).model.chain(chainid)
if chain is None:
return 'invalid chain'
aminoacids = []
aminoacid_resnums = []
aminoacid_letters = []
aminoacid_ca_coords = []
... |
# (c) <NAME> 2021
from __future__ import annotations
import haiku as hk
import jax
import jax.numpy as jnp
import optax
import typing
if typing.TYPE_CHECKING:
from myriad.neural_ode.create_node import NeuralODE
from jax.flatten_util import ravel_pytree
from tqdm import trange
from typing import Callable, Optional,... |
# import the necessary packages
from imutils.video import FPS
import imutils
import os
import cv2
import shutil
import time
import show_option_trafic_sign
import define
def on_pos_video_trackbar(val):
global vs, frame_index
if val != frame_index:
frame_index = val
vs.set(cv2.CAP_PROP_POS_FRAM... |
'''
Created on Aug 17, 2010
@author: joel
'''
import numpy
from pypyr.mesh import Basis, ElementFinder, ElementQuadrature, BoundaryQuadrature
import itertools as it
from pypyr.timing import *
def processIndices(basis, boundarytags):
""" Given a basis (a collection of elements) and a set of boundaries, extract the... |
#!/usr/bin/python
import sys
import time
import logging
import praw
import prawcore
from pprint import pprint
submission_pool = []
# Set to True to test, posts won't be removed
POST_TEST_MODE = False
# Set to a discord webhook for announcements
DISCORD_WEBHOOK_URL = None
def main():
# SET THESE - reddit applicat... |
from sys import modules
from copy import deepcopy
import numpy as np
import tensorflow as tf
from gpflow import actions, settings
from gpflow.training.tensorflow_optimizer import _TensorFlowOptimizer, _REGISTERED_TENSORFLOW_OPTIMIZERS
### Imports optimizers from TF contrib, uses same code as in GPflow
def _register... |
from binaryninja import (Architecture, LowLevelILOperation, LowLevelILLabel,
log_info, LLIL_TEMP)
def add_trunc(a, b, bits=16):
maxval = (1 << bits) - 1
r = a + b
return r & maxval
def _get_2b_reg(il, register):
register = register.lower()
return il.reg_split(1, register... |
#!/usr/bin/env python3
import sys
sys.path.append('./py')
from tests.test import *
from tests.random import *
from ga import GA
from multivector import MultiVector
ga = GA(3)
assert ga.n == 3
x = 4 + 3*ga[1] + 4*ga[2] + 5*ga[1,2]
y = 3 + 2*ga[1] + 3*ga[2] + 4*ga[1,2]
z = 10 + 16*ga[1] + 26*ga[2] + 32*ga[1,2]
asse... |
#!/usr/bin/env python3
import argparse
import datetime
import hashlib
import os
import os.path as osp
import uuid
import torch
import yaml
from torch.optim.lr_scheduler import MultiStepLR
from torch.utils.data import DataLoader
import torchfcn
from cmu_airlab.datasets.dataset_air_lab import AirLabClassSegBase
from t... |
import cv2
import glob
import keras
import numpy as np
import pandas as pd
from keras import backend as K
from keras.layers import MaxPooling2D, Conv2D, Flatten, Dense, Input, AlphaDropout, Dropout
from keras.models import Model
from settings import IMAGE_SIZE
df = pd.read_pickle('../data/all_obs.pkl', compression='g... |
# Author: <NAME> (mgdzwonc)
# Last modified: 2020-02-20
from enum import IntEnum
import socket
import sys
import threading
host = ''
# Get the port on which to run the server socket
if len(sys.argv) < 2:
print('Please specify a port for the auctioneer server.')
sys.exit()
try:
port = int(sys.argv[1])
ex... |
import os
import copy
import re
import nltk
from parser import Parser
import json
from stanfordcorenlp import StanfordCoreNLP
import argparse
from tqdm import tqdm
def tokenize(text):
text_i = token_i = 0
tokens = nltk.wordpunct_tokenize(text)
# post process tokenization result
tokens_ = []
for t... |
# -*- coding: utf-8 -*-
import py
from rpython.flowspace.argument import (ArgumentsForTranslation, rawshape,
Signature)
class TestSignature(object):
def test_helpers(self):
sig = Signature(["a", "b", "c"], None, None)
assert sig.num_argnames() == 3
assert not sig.has_vararg()
a... |
"""
Function for loading converting data
"""
from helper import utility as util
import os
import configparser
import numpy as np
from scipy import misc
import random
import logging
INPUT_IMAGE_DIR = "input"
INTERPOLATED_IMAGE_DIR = "interpolated"
TRUE_IMAGE_DIR = "true"
def convert_to_multi_channel_image(multi_... |
import datetime
import gzip
import itertools
import json
import logging
import os
import shutil
import sys
import zipfile
from blsgov_api import load_db_list, get_loader
from config import WRK_DB_DIR, META_FILE_NAME, TMP_DB_DIR, DATA_PREFIX, ASPECT_PREFIX, \
SERIES_PREFIX, JSON_GZ_SUFFIX, JSON_SUFFIX, ZIP_SUFFIX, ... |
import os
import argparse
import numpy as np
import math as ma
import music21 as m21
THREE_DOTTED_BREVE = 15
THREE_DOTTED_32ND = 0.21875
MIN_VELOCITY = 0
MAX_VELOCITY = 128
MIN_TEMPO = 24
MAX_TEMPO = 160
MAX_PITCH = 128
def load(datapath, sample_freq=4, piano_range=(33, 93), transpose_range=10, stretching_ra... |
import discord
from discord.ext import commands
import database as db
import variables as var
from functions import get_prefix
def has_command_permission():
async def predicate(ctx: commands.Context):
plugin_name = ctx.cog.__cog_name__
cmd_name = ctx.command.name
guild_doc = await db.PERMI... |
#!/usr/bin/env python3
# Copyright (c) 2021, Pelion Limited and affiliates.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.or... |
"""
A module to mix/join information from the deep ahb and the MIG (beyond SGH)
"""
from typing import Dict, List, Optional, Tuple
from maus import DataElementFreeText, DataElementValuePool, DeepAnwendungshandbuch
from maus.edifact import is_edifact_boilerplate
from maus.models.edifact_components import (
... |
# -*- coding: utf-8 -*-
#
# This is the Robotics Language compiler
#
# Parse.py: The parser for the Robotics Language
#
# @NOTE the RoL parser currently works by generating the composition of
# strings of text (see functions `Utilities.xml` and `Utilities.xmlMiniLanguage`) that are eventually
# parsed into XM... |
# -*- coding: utf-8 -*-
"""
Created on Sat Jul 6 11:24:44 2019
@author: Rob
"""
# Create Friends plots
# Import all functions as tuple
from Friends_analysis import *
from wordcloud import WordCloud, STOPWORDS#, ImageColorGenerator
from PIL import Image
import matplotlib.pyplot as plt
import numpy as n... |
from __future__ import print_function
import os
import json
import glob
import torch
import numpy as np
import torchvision.transforms as transforms
import torch.utils.data as data
import random
import h5py
class ShapeNetLoader(data.Dataset):
def __init__(self, data_dump_folder, indim=2, freeze_data=False, id=Non... |
from time import time
import multiprocessing
from knotify.models import Pknot, OUTER, INNER
from knotify.pairing import (
get_left_stem_aligned_indices,
get_right_stem_aligned_indices,
)
from knotify.rna_parser import PseudoknotDetector
MAX_LOOP_SIZE = 100 # max number of unpaired bases belonging to a loop
M... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# 利用华为ups检测机房是否停电
# 停电后发送企业微信告警并对主要服务器关机
import sys
import os
import time
import ssl
import json
import http.cookiejar
import paramiko
from urllib import parse, request
# ----------------------企业微信配置开始------------------------------------
corpid = '你自己的pid'
corpsecr... |
import getpass
import pyaes
import sqlite3
import hashlib
import string
import random
conn = None
_name_lock = None
class Key:
_k = None
@staticmethod
def set(key: bytes):
if key is None:
Key._k = None
return
Key._k = list(key)
for i in range(len(Key._k))... |
import pandas
import scipy
import numpy
def identity(x):
return x
def rolling_apply(df, window_size, f, trim=True, **kargs):
''' A function that will apply a window wise operation to the rows of a
dataframe, df.
input:
df - a pandas dataframe
window_size... |
# !/usr/bin/env python
# -*- coding: utf-8 -*-
'''from main.test import countries_list, get_country_name_by_id, usuario_list,get_password_by_id,get_rol_by_id
if __name__ == '__main__':'''
#countries_list()
#get_country_name_by_id(25, 'Russia')
#usuario_list()
#get_password_by_id('<PASSWORD>')
#print ... |
import os, glob, re
import argparse
import uuid
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.data import DataLoader, Dataset
from torch.utils.data.dataloader import default_collate
from torchvision import transforms
import torchvision
import matplotli... |
import asyncio
from datetime import datetime
import re
import sys
from io import StringIO
from aiogram import Bot, Dispatcher
from aiogram.dispatcher.filters import Filter
from aiogram.types import Message, InlineKeyboardButton, InlineKeyboardMarkup, CallbackQuery
from aiogram.utils.exceptions import MessageNotModifie... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
from Utils.tool import cal_dist_arr, get_arange
# TODO:笛卡尔空间下轨迹那个维度的自变量x，如果是车头不垂直应该问题不大？
# TODO:把量化间隔固定，直接存储整条曲线？
# TODO:曲线三阶导数在连接点处不连续，没有考虑
# TODO:样条插值中间点的状态自适应给定？
""" 样条插值 """
class Curve:
def __init__(self, t, dt, x, vec): # x比T多一个数
""... |
import os
import os.path
from subprocess import Popen, PIPE
import h5py
import numpy as np
import pytopkapi
def show_banner(ini_file, nb_cell, nb_time_step):
"""Show an ASCII banner at run time describing the model.
Parameters
----------
ini_file : str
The name of the PyTOPKAPI initializatio... |
import pytest
import numpy as np
import jax
import pyscf
from pyscfad import gto
from pyscfad.lib import numpy as jnp
TOL_VAL = 1e-12
TOL_NUC = 1e-10
TOL_CS = 1e-10
TOL_EXP = 1e-9
TOL_NUC2 = 5e-9
TEST_SET = ["int1e_ovlp", "int1e_kin", "int1e_nuc",
"int1e_rinv",]
TEST_SET_ECP = ["ECPscalar"]
TEST_SET_NUC =... |
import pytz
import pytest
from itertools import product
from unittest.mock import Mock
from datetime import datetime, timezone, date
from originexample.common import Unit
from originexample.auth import User
from originexample.agreements.queries import AgreementQuery
from originexample.agreements.models import TradeAgr... |
from sklearn import datasets
from sklearn import svm
from sklearn.model_selection import cross_validate
import numpy as np
import matplotlib.pyplot as plt
def plot_svc(model):
"""Plot the decision function for a 2D SVC"""
ax = plt.gca()
xlim = ax.get_xlim()
ylim = ax.get_ylim()
# create grid to ... |
# -*- coding: utf-8 -*-
"""
Copyright 2014 <NAME>
This file is part of the Twitter Follow Bot library.
The Twitter Follow Bot library 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, either version 3 of the Lice... |
#!/usr/bin/env python
"""
push-based asynchronous TCP
This is a generic library for building event-based / asynchronous
TCP servers and clients.
It uses a push model; i.e., the network connection pushes data to
you (using a 'data' event), and you push data to the network connection
(using the write method).
"""
__a... |
import enum
import io
import ipaddress
import re
import struct
import socket as sk
from typing import Optional, Tuple
class UTP:
"""
uTorrent Transport Protocol
BEP29: https://www.bittorrent.org/beps/bep_0029.html
"""
def __init__(self) -> None:
pass
PROTOCOL_NAME_v10 = b'BitTorrent pr... |
from abc import ABC, abstractmethod
from copy import deepcopy, copy
from typing import Tuple, Optional, Callable, Sequence
import numpy as np
from scipy.interpolate import interpn
from scipy.stats import multivariate_normal, beta
from pararealml.core.constrained_problem import ConstrainedProblem
from pararealml.core.... |
import os
from selenium.webdriver.common.keys import Keys
from pytest_dash.utils import (
wait_for_text_to_equal,
wait_for_element_by_css_selector,
)
import dash
from dash.dependencies import Input, Output, State
import dash_html_components as html
import dash_core_components as dcc
from dash_bio import Volcano... |
# 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
from . import _utilities... |
from functools import reduce
import sys
import inspect
def get_all_classes():
res = []
for _, obj in inspect.getmembers(sys.modules[__name__]):
if obj in [CustomIdlBase, FormulaBase]:
continue
if obj is not None and inspect.isclass(obj):
res.append(obj)
return res
... |
""" Tests for the module "session2bids.py"
Because the functionality of extracting BIDS info from a session and
getting physio data from a file, etc. is not the scope of the
module, I'm mocking a lot of the functions and I just test the code
specific to the module
Also, this way allows us to run the tests without a... |
import re
import twint
import pandas as pd
import matplotlib.pyplot as plt
from textblob import TextBlob
from collections import Counter
from nltk.corpus import stopwords
from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator
def make_search(username):
c = twint.Config()
c.Username = username
... |
"""
Tracker script for RDC
Implements the tracker control protocol
- start rdc tracker
- help nodes to establish links with each other
<NAME>
"""
import sys
import os
import asyncio
import socket
import struct
import subprocess
import time
import logging
import random
import inspect
import threading
from threading ... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# linkedin_jog_scraping.py
import os
import pandas as pd
from parsel import Selector
from time import sleep
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.comm... |
import tensorflow as tf
from tensorflow.keras import Model, Input
from tensorflow.keras.layers import ConvLSTM2D, Conv2D
from tensorflow.keras.layers import MaxPooling2D, UpSampling2D, Concatenate
from tensorflow.keras.layers import BatchNormalization, Activation, Dropout, TimeDistributed
# Conv layer.
def conv_layer(... |
from dataclasses import dataclass, field
import datetime
import io
import itertools as it
import json
from typing import Dict, Union, List
import pandas as pd
import requests
from redfin import Redfin
from dask import delayed
from dask.distributed import Client, as_completed
REDFIN_ENDPOINT='https://www.redfin.com/s... |
"""
Flask Documentation: http://flask.pocoo.org/docs/
Jinja2 Documentation: http://jinja.pocoo.org/2/documentation/
Werkzeug Documentation: http://werkzeug.pocoo.org/documentation/
This file creates your application.
"""
import os
import requests
import urllib, urllib3
import gzip
import json
import quadkey
i... |
from datetime import timedelta
from typing import List, Optional, Tuple
import hypothesis.strategies as st
import numpy as np
import numpy.testing as npt
import pandas as pd
import pandas.testing as tm
import pyarrow as pa
import pytest
from hypothesis import example, given, settings
# fmt: off
import fletcher as fr
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Feb 19 16:17:33 2021
@author: tanmay
"""
import cv2 as cv
import matplotlib.pyplot as plt
import os
import glob
import numpy as np
import random
def visualiseTriangulation(R_o, T_o,R,T, homoge_points, plotPoints = True):
f = 1
tan_x = 1
... |
#!/usr/bin/env python
import argparse
from genologics.entities import Process
from genologics.lims import *
from genologics.lims_utils import *
from genologics.config import BASEURI, USERNAME, PASSWORD
import process_categories as pc
from datetime import datetime, timedelta
import statusdb.db as sdb
import multiproce... |
from time import sleep
from datetime import datetime
from influxdb import InfluxDBClient
from influxdb.exceptions import InfluxDBClientError
import logging
import logging.config
import os.path
import pynvml as N
import psutil
import subprocess
import socket
import sys
import yaml
# Global LOGGER var
LOGGER = logging.... |
#!/usr/bin/env python
"""
reads .DMCdata files and displays them
NOTE: Observe the dtype=np.int64, this is for Windows Python, that wants to
default to int32 instead of int64 like everyone else!
"""
from pathlib import Path
import logging
import numpy as np
import typing as T
import typing.io as Tio
#
from .utils ... |
"""
Character categories and charsets.
"""
import sys
from pypy.rlib.rsre._rsre_platform import tolower, isalnum
# Note: the unicode parts of this module require you to call
# rsre.set_unicode_db() first, to select one of the modules
# pypy.module.unicodedata.unicodedb_x_y_z. This allows PyPy to use sre
# with the sa... |
# ******************************************************************************
# Copyright 2017-2018 Intel Corporation
#
# 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.apa... |
from django import forms
from django.shortcuts import render, redirect
import requests
import uuid
import json
from esm_dashboard.utils import esm_endpoint_check
import esm_dashboard.utils as utils
from django.contrib import messages
class ServiceForm(forms.Form):
service_name = forms.CharField(label='Service Nam... |
#!/usr/bin/env python3
# Copyright 2019 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 or ... |
#!/usr/bin/env python
import carla
import math
import numpy as np
from collections import deque
from agents.tools.misc import get_speed
import time
class VehiclePIDController:
"""
VehiclePIDController is the combination of two PID controllers (lateral and longitudinal)
"""
def __init__(self, vehicl... |
# Copyright 2019 The Johns Hopkins University Applied Physics Laboratory
#
# 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 ... |
import os
import re
from time import sleep
from opensextant import Place
from opensextant.gazetteer import DB, estimate_name_bias, GazetteerIndex, get_default_db
from opensextant.utility import replace_diacritics, load_list
def filter_out_feature(pl: Place, feats):
"""
Filter out places by their feature type... |
import sys
import os
import struct
import time
import numpy as np
import array as arr
import configuration as cfg
from scipy.ndimage import convolve1d
def read8byte(x):
return struct.unpack('<hhhh', x)
class FrameConfig: #
def __init__(self):
# configs in configuration.py
self.numTxAntennas =... |
from typing import List
from model import Entry, Directory, NormalFile, VirusFile
def __dir_arg_parse(directory: Directory, directory_path: str) -> Entry:
"""Parses a concatenated directory path to return the proper target
which may be a file or directory
"""
dir_split = directory_path.split("/")
... |
import torch
# from models import BaseVAE
from torch import nn
from torch.nn import functional as F
from . types_ import *
class ClusterVAE(nn.Module):
def __init__(self,
# in_channels: int,
latent_dim: int,
total_cluster: int,
hidden: List = None,
fgx = 2, fgy = 2,
**kwargs) -> None... |
#!/usr/bin/env python
#
# cli.py: CLI for gene cluster enrichment analysis
# Copyright (C) University of Manchester 2018-2021 <NAME>, <NAME>
#
from builtins import str
import os
import argparse
import logging
# Deal with matplotlib backend before importing seaborn
# See https://stackoverflow.com/a/50089385/5799... |
# encoding=utf8
# -*- coding: utf-8 -*- u
from __future__ import unicode_literals
from __future__ import division
import frappe
import frappe, os , math
from frappe import _
from frappe.model.document import Document
from frappe.utils import get_site_base_path, cint, cstr, date_diff, flt, formatdate, getdate, get_link_... |
'''prosperbot.py: bot for prosper stuff'''
from os import path, makedirs
from datetime import datetime, timedelta
import requests
import demjson
from nltk import download as nltk_download
import nltk.sentiment as sentiment
import pandas as pd
import pandas_datareader.data as web
import discord
from discord.ext import ... |
import xml.etree.ElementTree as ET
import time
import select
from io import StringIO
from threading import Thread, Event, Lock
from os import read
from .coqapi import Ok, Err
from .xmltype import *
class CoqHandler:
def __init__(self, state_manager, printer):
self.printer = printer
self.state_mana... |
"""
Intermediate form schema definitions.
These get constructed from either a json-parsed avro schema, or from a python
dataclass.
"""
from abc import ABC, abstractmethod
from dataclasses import dataclass, field
from enum import Enum
from importlib import import_module
from typing import Any, Iterable, List, Optional... |
import numpy as np
import tensorflow as tf
# import tensorflow.compat.v1 as tf
from keras.preprocessing.image import ImageDataGenerator
def mnist_x(x_orig, mdl_input_dims, is_training):
# rescale to [0, 1]
x_orig = tf.cast(x_orig, dtype=tf.float32) / x_orig.dtype.max
# get common shapes
height_width... |
#!/usr/bin/env python3
"""Train an XGBoost model for colour segmentation of images.
Segmentation of up to six colours is supported. Fewer number of colours are
possible simply by providing training data for only a subset of the colours.
"""
import argparse
import pathlib
import random
import sys
import time
import c... |
# DIFF-DIRS
# Author: <NAME> (<EMAIL>)
# Version: 1.01
# Description: Compares two directories and shows any differences
# in the files/folders contained in those directories.
# This script is my second Python script, so there are several
# places in the code that are mangled or h... |
import torch
from torch import nn
import torch.nn.functional as F
import os
import numpy as np
from utility import *
import pandas as pd
from kornia.filters import filter2D
import imageio
import math
from collections import OrderedDict
import random
def save_models(gs, ds, location):
folder = create_folder("Saved... |
# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... |
# Copyright (c) <NAME>
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from chronos import Chronos
import chronos_utils
import pytest
import pandas as pd
import numpy as np
################################################################... |
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