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"""Utility functions for CLI commands."""
from os.path import expanduser
from types import FrameType
from typing import Any, Callable, Iterator, Optional, Sequence, Type, Union
import functools
import itertools
import logging
import pathlib
import re
import sys
import warnings
from click.core import ParameterSource
fr... |
# -*- coding: utf-8 -*-
#
# Twitter画像ダウンローダー
#
from lib.UserHandle import UserHandle
from lib.DBQueue import DBQueue
from lib.Clawler import Clawler
from lib.Saver import Saver
from lib.config import PathConfig
from datetime import datetime
import time, threading, logging
endReq = False #終了リクエスト
with open(PathConfig.P... |
"""
Contains classes for retrieving data from file (or wherever it's stored)
"""
from abc import ABC, abstractmethod
from dataclasses import dataclass
from pathlib import Path
from typing import List, Union
import h5py
import numpy as np
import pandas as pd
from pandas.core.frame import DataFrame
@dataclass
class Re... |
import glob
import os
import logging
import subprocess
import click
from rich.console import Console
from rich.markdown import Markdown
from hint_cli import repo, config_manager
from hint_cli.format import format_for_stdout
from markdown import parser
logger = logging.getLogger(__name__)
conf = None
def print_mar... |
"""
Copyright [2019-2020] EMBL-European Bioinformatics Institute
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 python3
'''Animates distances and measurment quality'''
from rplidar import RPLidar
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.animation as animation
import RPi.GPIO as GPIO
import time
import pygame
from freenect import sync_get_depth as get_depth
import numpy as np
import sys... |
# Copyright 2018 Gehtsoft USA LLC
# Licensed under the license derived from 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://fxcodebase.com/licenses/open-source/license.html
# Unless required by ap... |
''' Define the Layers '''
import torch.nn as nn
import torch
from transformer.SubLayers import MultiHeadAttention, PositionwiseFeedForward
__author__ = "<NAME>"
class EncoderLayer(nn.Module):
''' Compose with two layers '''
def __init__(self, d_model, d_inner, n_head, d_k, d_v, dropout=0.1):
super(E... |
import sys
import numpy as np
import pandas as pd
import pickle
import re
import nltk
from nltk.corpus import stopwords
from nltk.stem.wordnet import WordNetLemmatizer
from nltk.tokenize import word_tokenize
nltk.download('punkt')
nltk.download('stopwords')
nltk.download('wordnet')
from sqlalchemy import create_engi... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Dec 8 17:07:19 2019
@author: nmei
"""
import numpy as np
import pandas as pd
from scipy import stats
def resample_ttest(x,baseline = 0.5,n_ps = 100,n_permutation = 10000,one_tail = False,
n_jobs = 12, verbose = 0):
"""
http:... |
# -*- coding: utf-8 -*-
# Copyright (c) 2020. Distributed under the terms of the MIT License.
import itertools
from dataclasses import dataclass
from math import sqrt
from typing import List, Dict
from monty.json import MSONable
import plotly.graph_objects as go
from vise.analyzer.plot_band_dos import plotly_sanitiz... |
from distutils.command.config import config
from typing import Callable
from unicodedata import name
import robosuite as suite
from robosuite.wrappers import GymWrapper
from robosuite.wrappers import GymWrapperRGBD
import stable_baselines3 as sb3
from stable_baselines3.common.vec_env import SubprocVecEnv, VecNormalize,... |
import torch
import torch.optim as optim
from itertools import count
import argparse
from os.path import join
from agent import NSQ
from policy import PolicyNet
from game import VFGGAME
from explorer import Explorer
from util import logger
from train_new import MACHINE_LABEL_DIR_HOLDOUT, CLASSIFIER_ROOT_HOLDOUT
from ... |
#!/usr/bin/env python
import rospy
from std_msgs.msg import String
from os import system
import tf2_msgs.msg
import roslib
import cmath as math
import geometry_msgs.msg as msgs
import turtlesim.srv
from darwin_gazebo.darwin import Darwin
shoulder_coord = (0.0, 0.0, 0.0)
hand_coord = (0.0, 0.0, 0.0)
elbow_coord = (0.0... |
from argparse import ArgumentParser
import os, sys
import cv2
import numpy as np
import pandas as pd
import torch
import pytorch_lightning as pl
from pytorch_lightning import Trainer, loggers
from torchsummary import summary
import torch.nn.functional as F
sys.path.append('../../loaders/pytorch_lightning/')
from data... |
import os
import csv
from collections import OrderedDict
from statistics import mean
from typing import List
def print_hota(d : dict):
"""Print HOTA fancy way
Args:
d (dict): HOTA dictionnari in extract_dict list
"""
upper_line : str = "||"
down_line : str = "||"
for i,key in enumerate(d.keys... |
from django.db import models
from django.contrib.auth.models import PermissionsMixin, AbstractBaseUser, BaseUserManager
from django.conf import settings
UPLOAD_DIRECTORY_PROFILEPHOTO = 'images_profilephoto'
UPLOAD_DIRECTORY_ID_CARD_PHOTO = 'images_idcardphoto'
class CustomUserManager(BaseUserManager):
"""
Cus... |
"""
Author: <NAME>
October 29, 2016
Description: Classes and functions to perform basic network abstraction and plotting
"""
from numpy import pi as pi
class network(object):
"""Class for one dimension network (i.e. a matching network)."""
element_array=[]
def __init__(self):
self.ZP2... |
##
## Various utility methods.
##
import os, shutil, glob, time, sys, platform, subprocess
# ------------------------------------------------------------------
# Windows specific paths.
nuget_dir = 'C:/nuget'
devenv_dir = 'C:/Program Files (x86)/Microsoft Visual Studio 14.0/Common7/IDE'
def set_log_tag(t):
glo... |
import pygame
from pygame.locals import *
import sys
import random
def ball_animation():
global ball_speed_x, ball_speed_y, player_score, opponent_score, score_time
ball.x += ball_speed_x
ball.y += ball_speed_y
if ball.top <= 0 or ball.bottom >= screen_height:
pygame.mixer.Sound... |
from flask import Blueprint, request, flash, render_template, redirect, url_for, abort
from project.users.forms import RegisterForm, LoginForm, EmailForm, PasswordForm
from project.models import User
from project import db, app
from itsdangerous import URLSafeTimedSerializer, BadData
from sqlalchemy.exc import Integrit... |
#!/usr/bin/python3
import glob
import os
import re
import sys
from hashlib import sha1
from stat import S_IREAD, S_IRGRP, S_IROTH
from typing import Union, Collection, Match, Dict, Optional, Tuple, Any, Set
had_errors = False
source_files: set[str] = set()
generated_files: set[str] = set()
def multisubst(mappings: ... |
#!/usr/bin/env python
import socket
import sys
import hashlib
import threading
from threading import Lock
import time
import matplotlib
matplotlib.use('Agg')
import numpy as np
import matplotlib.pyplot as plt
import otherfunc
#globally defined
host = []
path = []
tcps = []
port = 80
chunkSize = 10240 #10KB
chunks = [... |
"""
<Policy Iteration>
Author: <NAME> (<EMAIL>)
Affiliation: University of Pennsylvania
"""
import numpy as np
import seeding
def policy_iter(env, discount, threshold, T=5000):
V = np.zeros(env.snum)
policy = np.random.choice(env.anum, env.snum)
np_random, _ = seeding.np_random(None)
p_stable = False
trans_di... |
import pandas as pd
from ase import Atoms
from dscribe.descriptors import SOAP
import numpy as np
import sys
from ARS import *
def func(data, a, b,c,d,e,f,g,h,i,j):
return a*np.sin(b*data[0]+c)+ d + e*data[1]**3 + f*data[1]**2 + g*data[1] + h*data[2]**3 + i*data[2]**2 + j*data[2]
def func2(data, a, b,c,d,g,j):
... |
from pprint import pprint
alphabet = {"a":0,"b":0,"c":0,"d":0,"e":0,"f":0,"g":0,"h":0,"i":0,"j":0,\
"k":0,"l":0,"m":0,"n":0,"o":0,"p":0,"q":0,"r":0,"s":0,"t":0,"u":0,"v":0,\
"w":0,"x":0,"y":0,"z":0}
alphaFrecuency = {"a":0,"b":0,"c":0,"d":0,"e":0,"f":0,"g":0,"h":0,"i":0,"j":0,\
"k":0,"l":0,"m":0,"n":0,"o":0,"p":0,"q":... |
#!/usr/bin/env
# -*- coding: utf-8 -*-
# Copyright (C) CENATAV, DATYS - All Rights Reserved
# Unauthorized copying of this file, via any medium is strictly prohibited
# Proprietary and confidential
# Written by <NAME> <<EMAIL>>, March 2017
import os
import sys
from ctypes import (
cdll,
# c/c++ types declarat... |
##############################################################################################
# Created by <NAME> at 2018-12/18
# MIT License
# Contain definition of different layer
##############################################################################################
import math
import numpy as np... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Sep 29 16:47:23 2019
@author: achakrab
"""
import requests
import os
import sys
from pyspark import SparkContext
import json
import os
import pandas as pd
import numpy as np
from os import path
from PIL import Image
import numpy as np
import shutil
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
import re
import time
import redis
import requests
import traceback
localRedis = redis.StrictRedis(host='redis', port=6379, decode_responses=True)
download_url_template = "https://raw.githubusercontent.com/{:s}/{:s}/package.json"
npm_search_url_template = 'htt... |
from enum import IntEnum
from blatann.nrf.nrf_types import *
from blatann.nrf.nrf_dll_load import driver
import blatann.nrf.nrf_driver_types as util
from blatann.nrf.nrf_events.generic_events import BLEEvent
class GapEvt(BLEEvent):
pass
class GapEvtAdvReport(GapEvt):
evt_id = driver.BLE_GAP_EV... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import division, print_function, absolute_import
import string
import random
from itertools import chain
import networkx as nx
import pickle
import Levenshtein
letters = list(string.ascii_lowercase)
def out(G):
for n in sorted(G) :
print(n, G.... |
import time
import torch
from torch import nn
import tqdm
import numpy as np
from matplotlib import pyplot as plt
from ContentLoss.ResNetLoss import ResNetLoss
from ContentLoss.VGGLoss import VGGLoss
from Metric.PSNR import PSNR
import Metric.pytorch_msssim as torch_SSIM
def write_log_for_SRGAN(db_valid_PSNR_SSIM, ... |
#!/usr/bin/env python
#SETMODE 777
#----------------------------------------------------------------------------------------#
#------------------------------------------------------------------------------ HEADER --#
"""
:author:
username
:synopsis:
A one line summary of what this module does.
... |
#!/usr/bin/python3
# Compare two directories (maybe only a subdirectory of them) and add
# GitHub annotations where they're different.
import argparse
import difflib
import io
import itertools
import os.path
import sys
def annotate_file(output, path, severity, message):
print(
f'::{severity} file={path},t... |
"""
The MIT License (MIT)
Copyright (c) 2017 <NAME>
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import sys
import numpy as np
import scipy as scp
import logging
import torch
import torch.nn as nn
import torch.nn.functional as F
from to... |
from base import BaseExpert
import numpy as np
class TrueExpert(BaseExpert):
"""docstring for TrueExpert"""
def __init__(self, oracle):
super(TrueExpert, self).__init__(oracle)
def label(self, data, y=None):
if y is None:
raise Exception("True labels are missing")
else... |
"""
Heap is a binary tree-based data structure, can be implemented using a list.
There are 2 types of heaps:
- Max-Heap: The key representing the root must be greatest among the keys which present
at all of its children. The same rule applies for all the subtrees.
- Min-Heap: The key representing the root must be small... |
import pytest
from pandagg import Mappings
from pandagg.document import InnerDocSource, DocumentSource
from pandagg.mappings import Text, Long, Date, Keyword, Object, Nested
from pandagg.node.mappings import Boolean
class User(InnerDocSource):
id: int = Long(required=True)
signed_up: str = Date()
userna... |
#
# Copyright 1993-2019 NVIDIA Corporation. All rights reserved.
#
# NOTICE TO LICENSEE:
#
# This source code and/or documentation ("Licensed Deliverables") are
# subject to NVIDIA intellectual property rights under U.S. and
# international Copyright laws.
#
# These Licensed Deliverables contained herein is PROPRIETAR... |
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
# Copyright (c) 2022 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:/... |
from functools import partial
from itertools import product
from keras import backend as K
import tensorflow as tf
def dice_coefficient(y_true, y_pred, smooth=1.):
y_true_f = K.flatten(y_true)
y_pred_f = K.flatten(y_pred)
intersection = K.sum(y_true_f * y_pred_f)
return (2. * intersection + smooth)... |
#!/usr/bin/python3
"""
Start VLC on a remote host and send commands
"""
import re
import os
import sys
import time
import shlex
import base64
import atexit
import shutil
import logging
import tempfile
import argparse
import subprocess
import http.client
try:
from pyftpdlib.authorizers import DummyAuthorizer
... |
#! /usr/bin/env python3
"""This script demonstrates Aboleth's imputation layers."""
import logging
import tensorflow as tf
import numpy as np
from sklearn.datasets import fetch_covtype
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score, log_loss, confusion_matrix
from sklea... |
from __future__ import annotations
import ast
from collections import deque
from contextlib import suppress
from functools import partial
from pathlib import Path
from typing import Callable, Iterator, NamedTuple, Tuple, Type, TypeVar, Union
import astroid
from .._stub import EXTENSION, StubFile, StubsManager
T = ... |
# -*- coding: utf-8 -*-
import typing
import cv2
import numpy as np
from cv2 import hconcat, vconcat
from tqdm import tqdm
def callback_colors(image):
image = image.flatten().tolist()
print(f"White: {image.count(255)}")
print(f"Black: {image.count(0)}")
def constrain_type(patch: np.ndarray) -> np.ndarr... |
import pandas as pd
from pathlib import Path
from pp.log import logger
from inspect import signature
#from types import MappingProxyType
from collections import OrderedDict
#SERVICES DIRECTORY
SERVICES = {}
#SERVICE KEYS
# type, number of selections possible
OPTION_FIELD_SINGLE_COL_ANY = (None, 1)
OPTION_FIELD_MULT... |
import project_pythonDB
import pymysql
def menu_select_1():
# User is shown first
# 15 cities in world database
print('='*60)
print('| ' + '{:3s}'.format('ID') + ' | ' +
'{:16s}'.format('Name') + ' | ' +
'{:16s}'.format('District') + ' | ' +
'{:12s}'.format('Population') ... |
# SPDX-FileCopyrightText: 2020 <NAME> <<EMAIL>>
#
# SPDX-License-Identifier: Apache-2.0
import copy
from typing import List, Tuple, Union, Optional, Iterator, Dict
from codeprep.util import is_python_3_6_and_higher, to_literal_str, to_non_literal_str
# TODO this class should be frozen
class Merge(object):
def ... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Feb 6 10:16:35 2017
@author: alec
"""
import re
import os
import glob
from collections import OrderedDict, namedtuple
"""This module defines functions for preprocessing texts and splitting sentences."""
def preprocess(report):
"""Preprocesses a ... |
#Testing out the hashing function!
#Import necessary libraries
import hashlib;
import struct;
import datetime;
# STEP 1, Create a Hash Function and necassry tools.
def hashMe(s):
#Encode our string and then pass through SHA256, SHA256 takes only unicode
parse = s.encode();
# Name Hash as our sha256 algorithm, an... |
# Based on https://github.com/facebookresearch/CPC_audio/blob/zerospeech/cpc/dataset.py
# Copyright (c) Facebook, Inc. and its affiliates.
# Originally released under the MIT license.
import numpy as np
from pathlib import Path
from random import shuffle
import time
import torch
from torch.multiprocessing import Pool
f... |
import typer
from . import _typerpatch
import json
from typing import List, Optional
from textwrap import fill
from enum import Enum
from lunr.index import Index
from simconnect import SimConnect
import os
import re
app = typer.Typer()
thisdir = os.path.dirname(__file__)
with open(os.path.join(thisdir, 'scvars.json'... |
import sys
from contextlib import contextmanager
from pyvmmonitor_core import compat
from pyvmmonitor_core.callback import Callback
try:
# Optional dependency: if greenlets are available check that properties aren't changed
# when out of the main coroutine (the idea being that properties belong to main obje... |
import os
import random
import sys
import traceback
import urllib
import asyncpraw
import discord
import urlextract
from discord.ext import commands
from utils.channelUtils import is_nsfw_allowed
from utils.configManager import BotConfig, RedditConfig
from utils.log import log
def credit_embed(post):
... |
import marshmallow
import datetime
import uuid
import bson
import yaml
import rapidjson
import decimal
from bson.raw_bson import RawBSONDocument
from typing import Any, Union, Mapping, List, Dict, Callable, Optional
from ._mimetype import MimeType, MimeTypeTolerant
EncoderType = Callable[[Any], bytes]
DecoderType = ... |
# -*- coding: utf-8 -*-
# Copyright (c) 2015, <NAME> and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe.utils import cint
from tailorpad.custom_folder.custom_manufacturing import make_stock_entry
from frappe.model.document import Documen... |
"""
Solving MsPacman-ram-v0 environment
Author: <NAME>(<EMAIL>)
"""
import gym
import numpy as np
import tensorflow as tf
#learning parameters
y = .95 #gamma
e = 0.1 #random selection epsilion
memory_size = 1000
num_episodes = 2000
env_features = 128 #128 bytes of atari console's RAM
train_batch_size = 64
random_thre... |
#!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import pandas as pd
import os
from os import listdir
from os.path import isfile, join, getsize, dirname
from collections import Counter, OrderedDict
import shutil
import warnings
import h5py
import pickle
import gc
import random
import time
import mat... |
# -*- coding: utf-8 -*-
#
import tensorflow as tf
def new_variable(name, shape, weight_decay=0.001,
init=tf.contrib.layers.xavier_initializer(), forced_gpu=None):
if forced_gpu is not None:
with tf.device('/gpu:%d'%forced_gpu):
regularizer = tf.contrib.layers.l2_regularizer(... |
import numpy as np
import cv2
import json
'''
Set the color profile for the current light setting.
run this file then press amd hold the r,b,g or y key to change the
colors.
to quit press and hold the q key
'''
cap = cv2.VideoCapture(0)
img = np.zeros((1, 500, 3), np.uint8)
cv2.namedWindow('image', cv2.WINDOW_NORMAL... |
from . import register_model, Model
from .. import nvic
from .. import native
from ..globs import debug_enabled
from unicorn import UC_HOOK_BLOCK
from unicorn.arm_const import UC_ARM_REG_PC
import sys
from ..handlers import add_func_hook, remove_func_hook
import importlib
from ..exit import do_exit
DEFAULT_TIMER_RELOA... |
'''Utils for managing wpa supplicant files.
'''
import os
import glob
import logging
from shutil import copyfile
from . import util
logger = logging.getLogger(__name__)
def set_ap_path(path):
Wpa.ap_path = path
def connect(ssid, verify=False):
return Wpa(ssid).connect() and (not verify or verify_ssid(ssid))... |
import collections
import logging
import copy
import sys
if __name__ == '__main__':
import utils
else:
from . import utils
logger = logging.getLogger('curate-bids')
class TreeNode(collections.MutableMapping):
"""
Represents a single node (Project, Session, Acquisition or File) in
the Flywheel hie... |
import datetime
def getIntensityDatasets(ChartDataset):
return {
'U3': ChartDataset(),
'U2': ChartDataset(),
'U1': ChartDataset(),
'AT': ChartDataset(),
'TR': ChartDataset(),
'Test': ChartDataset()
}
def getFreshLastIntensityData():
return {
'U3... |
#!/usr/bin/env python3
# encoding: utf-8
#
# Copyright (c) 2019 SAP SE or an SAP affiliate company. All rights reserved.
#
# This file is part of ewm-cloud-robotics
# (see https://github.com/SAP/ewm-cloud-robotics).
#
# This file is licensed under the Apache Software License, v. 2 except as noted
# otherwise in the LIC... |
import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import Variable
from torch.utils.data import DataLoader
from torch.utils.data import sampler
import copy
import torchvision.datasets as dset
import torchvision.transforms as T
import numpy as np
import timeit
class ChunkSampler(sampl... |
# Copyright (c) 2019. Partners HealthCare, Harvard Medical School’s
# Department of Biomedical Informatics, <NAME>
#
# Developed by <NAME> and <NAME>, based on contributions by:
# <NAME>, <NAME>,
# <NAME>, <NAME> and other members of Division of Genetics,
# Brigham and Women's Hospital
#
# Licensed under the Apa... |
# purpose: distinguish lncRNA from the cRNA
# 1. Design a model
# 2. Construct loss & optimizer
# 3. Training loop:
# - forward pass (call model to predict)
# - backward pass (calculate autograd)
# - update weights
import numpy as np
import torch
from Bio import SeqIO
from torch import utils
import matplotlib.pyplot a... |
## @file test_All.py
# @author <NAME>
# @brief This file is the test file.
from Set import *
from MoleculeT import *
from CompoundT import *
from ReactionT import *
import pytest
class TestSet:
def setup_method(self, method):
self.setA = Set([1, 2, 3, 4, 5])
self.setB = Set([5, 4, 3, 2, 0])
self.setC = Set... |
from plugin import Plugin
from collections import defaultdict
from decorators import bg_task
import aiohttp
import logging
import json
import re
log = logging.getLogger("discord")
class Platform:
def __init__(self, name, db_name=None):
self.name = name
self.db_name = db_name or name
def coll... |
"""
PyTorch implementation of Capsule Networks
Dynamic Routing Between Capsules: https://arxiv.org/abs/1710.09829
Author: <NAME>
University: Università degli Studi di Torino, Department of Computer Science
"""
import torch
import time
import numpy as np
import torchvision.utils as vutils
import torch.nn.functional a... |
# -*- coding:utf-8 -*-
import h5py
import numpy as np
import os
import config
class DataPreprocessing:
def __init__(self):
self.chosung = 19
self.jungsung = 21
self.jongsung = 27
self.hangul_length = 67
def decompose_as_one_hot2(self, in_char):
one_hot = []
if o... |
import math
from _remote import ffi, lib
from manager import PluginBase
import util
def getObjColor(obj, config, player, allies):
p = obj.props
# enemies
if p.ownertype == lib.OWNERTYPE_ENEMY:
if p.damage > 0:
return config.enemy
elif p.hitboxdamage == 0:
return c... |
'''
API entry point for conversion from MARC to Linked Data
'''
import logging
from collections import defaultdict
import warnings
import zipfile
import functools
from versa import I, VERSA_BASEIRI, ORIGIN, RELATIONSHIP, TARGET, ATTRIBUTES
from versa import util
from versa.driver import memory
from amara3.inputsourc... |
from os import environ
from flask import Flask, render_template, url_for, jsonify, make_response, request, session
from spacy import en as SpacyModel
from google.cloud import language as GoogleModel
from watson_developer_cloud import AlchemyLanguageV1
alchemy_language = AlchemyLanguageV1(api_key='PUT_YOUR_OWN_KEY')... |
import turtle
import sys
from SNAKE import Snake_Main
from SNAKE import SETUP_SNAKE_AI
from SNAKE import SETUP_SNAKE_NEURAL
from BreakoutGamev03 import Breakout_Main
from BreakoutGamev03 import SETUP_BREAKOUT_AI
from BreakoutGamev03 import SETUP_BREAKOUT_NEURAL
from PacMan import PacMan_Main
from PacMan import SETUP_... |
import os
import re
import time
from absl import app
from absl import flags
from glob import glob
import torch
import tensorflow as tf
from torch.utils.data import DataLoader
from torchvision.datasets import CIFAR10, CIFAR100
from torchvision.transforms import ToTensor
from torchvision import transforms
from self_sup... |
# coding=utf-8
# date: 2019/1/21, 14:18
# name: smz
import numpy as np
import tensorflow as tf
from sklearn.utils import shuffle
from FNN_skills.modules.model import ModelV1
from FNN_skills.configration.options import opts
def split_data(data, ratios, batch_size):
ratio1, ratio2, ratio3, ratio4 = ratios.split("... |
import csv
import logging
import pickle
from time import perf_counter
import math
import scipy
from ensemble_compilation.graph_representation import AggregationType
from ensemble_compilation.spn_ensemble import read_ensemble, logger
from evaluation.utils import parse_query, all_operations_of_type, save_csv
... |
class AST(object):
VALUE_METHODS = []
def search(self, value):
pass
def _get_value_method(self, value):
# This will find the appropriate getter method
# based on the passed in value.
for method_name in self.VALUE_METHODS:
method = getattr(value, method_name, Non... |
# Copyright (C) 2007-2020, <NAME> <<EMAIL>>
#
# 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... |
# -*- coding: utf-8 -*-
from typing import Iterable, List, Tuple, Type
import logging
import re
import datetime
import pytz
import requests
from hour_usage import HourUsage
_TZ_LONDON = pytz.timezone('Europe/London')
_UTC_NOW = datetime.datetime.now(pytz.utc)
_LONDON_NOW = _TZ_LONDON.normalize(_UTC_NOW)
logger = log... |
import numpy as np
import pandas as pd
from scipy.stats import randint as sp_randint
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import OneHotEncoder
from sklearn.compose import ColumnTransformer
from sklearn.model_selection import RandomizedSearchCV
from sklearn.ensemble import RandomForestClassif... |
import docx
import time
from src.common import defines as dv
from src.common import configVars as cv
from src.common import stringHelpers as strHlprs
from src.cmdInterface import cmdProgressBar
class DocxExporter:
"""Class to generate the output acronym document"""
def __init__(self, acro_dict_handl... |
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.
# Copyright 2019 The fiowebviewer Authors. All rights reserved.
import numbers
import pytest
from fiowebviewer.engine import (
models,
)
ROUNDING_RANGE = models.ROUNDING_RANGE
@pytest.mark.parametrize("percen... |
import sys
from pathlib import Path
from pandas import DataFrame, read_csv
global yes
def load_file(input_path: str) -> DataFrame:
"""
Function that loads and cleans file
:param input_path:
:return: DataFrame with processes and path to origin file
"""
with open(input_path, encoding="utf8") a... |
from __future__ import absolute_import
import numpy as np
import os
import pytest
from mirdata import guitarset, utils
from tests.test_utils import DEFAULT_DATA_HOME
TEST_DATA_HOME = 'tests/resources/mir_datasets/GuitarSet'
TRACK = guitarset.Track('03_BN3-119-G_solo', data_home=TEST_DATA_HOME)
def test_track_basi... |
import numpy as np
import json
import copy
import random
"""
This is Step 2 in the seq2seq pipeline.
Input: dtype.
Basically use the (context, scenario, utt) to create a series of templates (x) and utt(y). For test and valid data, we will only create the template from dgpt-m greedy approach.
"""
dtype = "train"
#te... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Clone an MT19937 RNG from its output
#
# The internal state of MT19937 consists of 624 32-bit integers.
#
# For each batch of 624 outputs, MT permutes that internal state. By permuting
# state regularly, MT19937 achieves a period of 2**19937, which is Big.
#
# Each tim... |
import json
import boto3
from boto3.session import Session
import datetime
# Copyright 2015 Amazon.com, Inc. or its affiliates. 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.
# A copy of the License is located at... |
# -*- coding: utf-8 -*-
# Copyright 2017 <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, p... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Detect same images and try to merge metadatas before deleting duplicates"""
import PIL.Image as Image
import PIL.ImageChops as ImageChops
import sys
import os
import pyexiv2
import datetime
import logging
#Handler for merging properties
def handler_mergeList(a, b):
... |
import pytest
import configparser
import os
import pydbhub.dbhub as dbhub
CONFIG = '''
[dbhub]
# dbhub.io Api key
api_key = YOUR_DBHub.io_API_KEY_Here
# The owner of the database to query
db_owner = justinclift
# The name of the database
# - https://dbhub.io/justinclift/Join%20Testing.... |
__author__ = '<NAME>'
__email__ = '<EMAIL>'
import json
from django.db import models
from xanderhorkunspider.models import Website
from xanderhorkunspider.models import Page
from xanderhorkunspider.models import Loading
from xanderhorkunspider.dao import WebsiteDao
from xanderhorkunspider.dao import PageDao
from xan... |
from django.shortcuts import render,redirect
from django.contrib.auth import login,authenticate
from django.contrib.auth.decorators import login_required
from django.contrib import messages
from django.conf import settings
from django.core.mail import send_mail
from .forms import *
def landing(request):
return ren... |
import html
import re
from dataclasses import dataclass, replace
from typing import Any, Callable, Iterable, List, Match, Optional, TypeVar
from .model import (
AnkiNote, Cloze, ClozePart, CodeBlock, CodeInline, Math, RoamBlock,
RoamColonCommand, RoamCurlyCommand, RoamPart,
)
OptionalFormatter = Callable[[An... |
"""
Facebook small world experiment-1
Number of different ways in which two people are connected
Author: <NAME> (www.mohitchawla.in)
"""
import random as rand
INFINITY = float("Inf")
#flag to enable trace
trace_enabled = True
def trace(string):
""" Enable to print trace statements
set trace_enabled flag... |
'''Rubik2Cube.py
'''
#<METADATA>
QUIET_VERSION = "0.1"
PROBLEM_NAME = "Rubik2Cube"
PROBLEM_VERSION = "0.1"
PROBLEM_AUTHORS = ['<NAME>']
PROBLEM_CREATION_DATE = "18-OCT-2019"
PROBLEM_DESC=\
'''This is the 2X2X2 Rubiks Cube.
Modified from EightPuzzle.py
'''
# Sides
F = 0
B = 1
U = 2
D = 3
L = 4
R = 5
#Adjacencies
ADJAC... |
from hylite import HyLibrary
import numpy as np
from scipy.spatial.qhull import ConvexHull
from tqdm import tqdm
def polynomial(data, degree = 1, method='div'):
"""
Detrend an image data array using a polynomial fit and np.polyfit( ... ).
*Arguments*:
- data = numpy array of the format image[x][y][b... |
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