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"""Main SDGym benchmarking module."""
import io
import logging
import multiprocessing as mp
import os
import types
from datetime import datetime, timedelta
import humanfriendly
import psutil
import tqdm
from sdgym.data import load_dataset
from sdgym.evaluate import compute_scores
from sdgym.results import make_leade... |
#!/usr/bin/env python
# encoding: utf-8
"""
Kibana Dashboard Extractor/Loader
A small tool to extract dashboards, visualizations, and searches from kibana,
that are stored in the elasticsearch index. It is based on the Ruby scripts
created by @jim-davis:
Modified from https://github.com/jim-davis/kibana-helper-scrip... |
import json
import time
from pathlib import Path
from tempfile import TemporaryDirectory
from typing import Any, Dict, List
import click
from kaggle import KaggleApi
from kaggle.models.kaggle_models_extended import KernelPushResponse
from .. import kernel_proc
from ..builders.packaging_system import get_dependencies
... |
# coding=utf-8
from __future__ import unicode_literals, division, absolute_import
import re
import time
import logging
import multiprocessing
import concurrent.futures
from datetime import datetime
from decimal import Decimal
from builtins import *
from requests.adapters import HTTPAdapter
from flexget import plug... |
import datetime
import requests_html
from urllib.parse import urljoin
class LibrusSession(object):
def __init__(self):
self._html_session = None
def login(self, username, password):
"""
Creates authenticated session.
"""
self._html_session = requests_html.HTMLSession... |
"""
This file contains multiple methods to optimise the calculation of the
Mandelbrot set in mandelbrot.py. All functions return a detail :math:`\\times`
detail numpy array containing the output of the functions implementing the
Mandelbrot set.
Naive implementation:
- naive() implements the computation of the Mande... |
"""
Contains the models necessary for our application
"""
import uuid
from django.conf import settings
from django.db import models
from django.contrib.auth.models import User, AbstractUser
from django.contrib.postgres.fields import ArrayField
from django.utils.translation import gettext_lazy
from django.dispatch impor... |
import sys
sys.path.append('../src/')
import os
os.environ['KMP_DUPLICATE_LIB_OK']='True'
import random
import numpy as np
from time import time, localtime, strftime
import configparser
import torch
from util.data import Dataset
from offlineExp.gru4rec import GRU4Rec
from offlineExp.tmf import TMF, TMF_variety, TMF_... |
import pytest
import datetime
from dateutil.tz import tzoffset
from decimal import Decimal
from pyticketswitch.mixins import JSONMixin, PaginationMixin, SeatPricingMixin
class TestJSONMixin:
ZULU = tzoffset('ZULU', 0)
class Foo(JSONMixin, object):
def __init__(self, bar):
self.bar = bar... |
from hdmm.workload import *
from hdmm import templates
def __race1():
# single race only, two or more races aggregated
# binary encoding: 1 indicates particular race is checked
race1 = np.zeros((7, 64))
for i in range(6):
race1[i, 2**i] = 1.0
race1[6,:] = 1.0 - race1[0:6].sum(axis=0)
re... |
import os
import xlsxwriter
import time
import pickle
import random
import numpy as np
import matplotlib.pyplot as plt
from classes.quiz import Quiz
from classes.save import Save
from classes.result import Overall_Results, Result
from classes.answer import Picture_Answer, Text_Answer, Answer
from classes.school import... |
import argparse
import sys
import math
from collections import namedtuple
from itertools import count
import gym
import numpy as np
import scipy.optimize
from gym import wrappers
import torch
import torch.autograd as autograd
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import tor... |
import json
import datetime
import re
from peewee import *
from playhouse.shortcuts import model_to_dict
db = SqliteDatabase(None)
def copy_keys(a, b, args):
for key in args:
a[key] = b.get(key, None)
return a
def del_keys(d, args):
for key in args:
if key in d:
del d[key]
... |
# coding:utf-8
"""E(x)hentai components."""
import os
import re
import requests
from bs4 import BeautifulSoup
import modules.misc as misc
from modules import exception
_LOGIN_URL = 'https://forums.e-hentai.org/index.php'
_ACCOUNT_URL = 'https://e-hentai.org/home.php'
_EXHENTAI_URL = 'https://exhentai.org/'
def _ba... |
from django.db import models
from apps.ventas.producto.models import Producto
from datetime import datetime
# Create your models here.
date = datetime.now()
class Proveedor(models.Model):
"""[summary]
Args:
models ([Proveedor]): [Contiene la informacion de los proveedores]
"""
nombre_pro... |
import os
import torch
import torch.nn.functional as F
import yaml
import copy
from ast import literal_eval
from typing import Callable, Iterable, List, TypeVar
import torch.distributed as dist
from typing import Tuple
import argparse
A = TypeVar("A")
B = TypeVar("B")
class TimeDistributed(torch.nn.Module):
"""
... |
#
# Copyright (c) <NAME>, <NAME>, <NAME> and others.
# Portions copyright (c) <NAME> and <NAME>, Inc. and its affiliates.
#
# SPDX-License-Identifier: MIT
#
# Originally from https://github.com/rubygems/rubygems
from univers.gem import GemRequirement
from univers.gem import GemVersion
from univers.gem import InvalidVe... |
import random
import time
from enum import Enum
import numpy as np
import pandas as pd
from scipy import sparse
from sklearn.decomposition import NMF
from sklearn.metrics import confusion_matrix
class CurrencyRating(Enum):
CHF = 5
GBP = 6
EUR = 7
USD = 8
NON_SWISS = 10
DEFAULT = 1
def sugge... |
# Copyright 2021 Toyota Research Institute. All rights reserved.
from collections import OrderedDict
import numpy as np
from dgp.annotations import (
BoundingBoxOntology, InstanceSegmentationOntology, Ontology, PanopticSegmentation2DAnnotation,
SemanticSegmentation2DAnnotation, SemanticSegmentationOntology
)... |
"""Module for private utilities/helpers for DataIO class."""
import hashlib
import json
import logging
import uuid
from collections import OrderedDict
from os.path import join
from pathlib import Path
from . import _oyaml as oyaml
logger = logging.getLogger(__name__)
def construct_filename(
name,
pretagname... |
""" The library contain functions related to restore functionality. """
## The script can be run with Python 3.6 or higher version.
## The script requires 'requests' library to make the API calls.
import time
import common
headers = {"Content-Type" : "application/vnd.netbackup+json;version=4.0"}
# Perform bulk res... |
"""
Tests for the common module.
Run like:
tox -c tox-full.ini -e py27-ubuntu_16_04_64 -- -s burlap/tests/test_common.py::CommonTests::test_satchel_ordering
"""
from __future__ import print_function
import os
import sys
import tempfile
import unittest
import getpass
from pprint import pprint
# try:
# impor... |
import torch
import torch.nn as nn
import numpy as np
import torch.nn.functional as F
from enum import IntEnum
from ..resnet_realnvp import ResNet
from ..realnvp.utils import checkerboard_mask
class MaskType(IntEnum):
CHECKERBOARD = 0
CHANNEL_WISE = 1
TABULAR = 2
class MaskChannelwise:
def __init_... |
###################################################################
# Route Planner maps the best possible route between two intersections
# It uses a combination of Djikstra graph algorithm and A* algorithm
###################################################################
import math
class RoutePlanner:
def __... |
#This filter takes a series of TDMS files and converts them to individual part files, where each part is stored in an HDF5 File.
import numpy as np
import os
import h5py
import nptdms
import re
from contextlib import ExitStack
from pathlib import Path
from typing import Any, AnyStr, Dict, Generator, List, M... |
# MIT License
#
# Copyright (c) 2017 <NAME>
#
# This file is part of excons.
#
# 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
# t... |
# Copyright 2022 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
import sys, os
sys.path.append(os.path.dirname(os.path.abspath(__file__))+'/../')
import numpy as np
# Internal
from lib.BFPConvertor import BFPConvertor
from lib import BFPActivation
from lib import BFPFullyConnet
# PyTorch
import torch
import torch.nn as nn
import torchvision
def conv3x3(in_planes, out_planes, st... |
#!/usr/bin/env python
from __future__ import print_function
import argparse
import os
import pickle
import subprocess
import sys
from Bio import SeqIO
from collections import defaultdict
def generate_fasta_entries(input_fasta, output_fasta):
""" Converts neoepiscope output FASTAs new FASTA file with IDs as headers,
... |
#!/usr/bin/env python
# encoding: utf-8
# Originally developed by <NAME> http://almostobsolete.net
# Extended by <NAME> <EMAIL>
#
# Just a work in progress and adapted to what I need right now.
# It does uploads (via a file-like object that you write to) and
# I've started on downloads. Needs the development version o... |
import warnings
import math
import re
from functools import wraps
from collections import namedtuple
from datetime import datetime
import urllib
import pytz
import cherrypy
import gnupg
from jinja2 import Environment, PackageLoader
from dateutil import parser as date_parser
from wtforms import Form, TextField, Passwor... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
################################################################################
#
# MEASURE - Master Equation Automatic Solver for Unimolecular REactions
#
# Copyright (c) 2010 by <NAME> (<EMAIL>)
#
# Permission is hereby granted, free of charge, to any person obtai... |
import os
from typing import Tuple
import matplotlib.pyplot as plt
import numpy as np
import torch
import torchvision.transforms as transforms
import torchvision.utils as vutils
from PIL import Image
from nuscenes.nuscenes import NuScenes
from nuscenes.utils.data_classes import LidarPointCloud, RadarPointCloud
from nu... |
import datetime
import random
import unittest
from tzlocal import get_localzone
from src.mqtt_connector import MqttConnector
from src.process import Process, SwitchSensor, LoopParams
from unittest.mock import MagicMock
from src.result import ResultState, Result
from src.sensor import MockSensor
class MockProcess(... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import copy
import pandas as pd
from pomegranate.distributions import IndependentComponentsDistribution
from pomegranate.distributions import UniformDistribution, NormalDistribution
from pomegranate.distributions import MultivariateDistribution, DiscreteDistribution
impor... |
from structure_analysis import Struc, output_json
rOO_max = 10.89 # 3.3*3.3
def findHydroxylHydrogen(Oxyz, Hcoords, abc):
for Hxyz in Hcoords:
if calculate_distance2(Oxyz, Hxyz, abc) < 1.0:
return Hxyz
def hy_bond_from_DB(hmap_data, box, htype, name, feed):
run = 'prod-'
my_data = {r... |
import numpy as np
import pandas as pd
import re
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.cross_validation import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.learning_curve import validation_curve
from sklearn.linear_model import LogisticRegression
from sk... |
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
import Generate_Data3 as Generate_Data
import keras
1
save_path = Generate_Data.save_path
save_rate = 50000
audio_size = Generate_Data.audio_size
batch_size = 10
divisor = 4;
time_interval = 16;
def read_npz(fn):
with np.load(fn) as dat... |
"""
A minimal character-level LSTM model. Written by ZhengHe (@ZhengHe-MD)
This is derived from the following scripts:
- https://gist.github.com/karpathy/d4dee566867f8291f086
- https://github.com/eliben/deep-learning-samples/blob/master/min-char-rnn/min-char-rnn.py
- https://github.com/nicodjimenez/lstm
And you might f... |
import os
import cv2
import pdb
import random
import numpy as np
import pandas as pd
from tqdm import tqdm
import torch
from collections import defaultdict
from torchvision import transforms
from PIL import Image
from torch.utils.data import DataLoader, Dataset, sampler
from torchvision.datasets.folder import pil_loade... |
import torch.nn.functional
import typing as _typing
import torch_geometric
from torch_geometric.nn.conv import GraphConv
from torch_geometric.nn.pool import TopKPooling
from torch_geometric.nn.glob import (
global_add_pool, global_max_pool, global_mean_pool
)
from ...encoders import base_encoder
from .. import base... |
from collections import defaultdict
from typing import Optional
import torch
import numpy as np
from pytorch_gleam.modeling.models.base_models import BaseLanguageModel
from pytorch_gleam.modeling.thresholds import ThresholdModule, MultiClassThresholdModule
from pytorch_gleam.modeling.metrics import Metric
from pytor... |
import numpy as np
import torch
from torch import nn
class MDense(nn.Module):
def __init__(self, input_features, output_features):
super(MDense, self).__init__()
self.weight1 = nn.Parameter(torch.randn(output_features, input_features), requires_grad=True)
nn.init.xavier_uniform_(self.wei... |
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distrib... |
import re
import sys
from hashlib import sha1
import logging
import subprocess as sp
from pathlib import Path
from remake.util import sysrun
from remake.setup_logging import setup_stdout_logging
from remake.loader import load_remake
from remake.task import Task, RescanFileTask
from remake.executor.base_executor import... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 14 20:38:48 2020
@author: neil
This script is designed to obtain a distribution for the water pockets which respresents
a combination of the water occupancy (binary variable) and the water polarisation (continuous variable).
For a water molecule to... |
# Village People, 2017
import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.optim as optim
import numpy as np
from .agent import ReportingAgent
from models import get_model
from utils.torch_types import TorchTypes
from collections import namedtuple
import time
# from termcolor import c... |
"""Data Provider implementation module for constructing data based on standard stock indicators
The data provider in this module is not indented to be instantiated outside of this module. Instead, upon the importing
of this module, the provider will create an instance of itself and register itself with the global D... |
import math, random
import numpy as np
from PuzzleLib.Backend import gpuarray
from PuzzleLib.Backend.Kernels.Costs import ctcLoss, ctcLossTest
from PuzzleLib.Cost.Cost import Cost
class CTC(Cost):
def __init__(self, blank, vocabsize=None, normalized=False):
super().__init__()
self.normalized = normalized
i... |
#!/usr/bin/env python
# <NAME>
import json
import logging
import optparse
import os
import shutil
import tempfile
import urllib2
from xml.etree.ElementTree import tostring
try:
# For Python 3.0 and later
from shutil import unpack_archive
except ImportError:
# Fall back to Python 2 import
from setuptoo... |
import PIL
import numpy as np
import time
import torch
from argparse import ArgumentParser
from torchvision.transforms import RandomHorizontalFlip, RandomCrop, ToTensor, Normalize, Compose
from torch.utils.data import DataLoader, random_split
from typing import Optional, Callable, Tuple, Any
from pytorch_lightning imp... |
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
import log... |
import vtk
import h5py
import numpy as np
from vtk.util.vtkAlgorithm import VTKPythonAlgorithmBase
import otter.plugins.common as common
from otter.plugins.common.Reader import Reader
from otter.plugins.common.Reader import BlockInformation, VariableInformation
class PetscHDF5DataSetReader(VTKPythonAlgorithmBase):
... |
# -*- coding: utf-8 -*-
"""
Created on Sun Aug 29 18:16:03 2021
Code is partly based on https://git.aweirdimagination.net/perelman/slide-detector
@author: <NAME>
"""
import os
import random
import argparse
import numpy as np
import cv2
import torch
import torch.nn as nn
import decord
from decord import VideoReade... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# File: agent.py
# Author: <NAME> <<EMAIL>>
import numpy as np
import cv2
import tensorflow as tf
#assert int(tf.__version__.split('.')[1]) == 9
assert int(np.__version__.split('.')[1]) >= 11
from collections import deque, Counter
import random
import time
from tensorpac... |
import math
import torch
import torch.nn as nn
from torch.nn import init
BATCHNORM_TRACK_RUNNING_STATS = False
BATCHNORM_MOVING_AVERAGE_DECAY = 0.9997
class BNorm_init(nn.BatchNorm2d):
def reset_parameters(self):
init.uniform_(self.weight, 0, 1)
init.zeros_(self.bias)
class Conv2d_init(nn.Conv2... |
# example from: https://pytorch-lightning.readthedocs.io/en/latest/notebooks/lightning_examples/mnist-hello-world.html
# adds on from https://pytorch-lightning.readthedocs.io/en/latest/starter/introduction_guide.html
import os
import time
import numpy as np
import torch
from pytorch_lightning import LightningModule, ... |
#!/usr/bin/env python
from __future__ import print_function
import sys
import numpy as np
#This code calculates the aproximate memory footprint of PMPIC (total and per process)
#It can thus be used to choose a value of maxparcels to maximise memory usage
#number of grid/parcel variables
n_grids=32
n_parcels=38
#numb... |
import csv
import sys
import datetime
import sqlite3
import os
from typing import List, Any, Union, NamedTuple, Tuple
from .env import TWDFT_DATA_DIR, INSPECTORS
def conv_site_name_to_id(site: str) -> str:
db_filename = "twdft.db"
db_path = os.path.join(TWDFT_DATA_DIR, db_filename)
with sqlite3.connect(... |
# from __future__ import print_function
from kivy.app import App
from kivy.uix.boxlayout import BoxLayout
from kivy.properties import ObjectProperty
from kivy.uix.listview import ListItemButton
from kivy.uix.screenmanager import ScreenManager, Screen
from kivy.lang import Builder
from docx import Document
from docx.sha... |
"""
@brief
Test code for Psf angular integrals over the ROI acceptance cone. The
plots are the enclosed Psf as a function of separation between the
true source direction and the center of the ROI. The black curves are
the values returned from the IPsf::angularIntegral method, and the red
data points are the results o... |
#!/usr/bin/env python
# Full license can be found in License.md
# Full author list can be found in .zenodo.json file
# DOI:10.5281/zenodo.1199703
# ----------------------------------------------------------------------------
"""
pysat user module registry utilities
This module allows pysat to provide direct access to ... |
import os
import numpy as np
import torch
import torch.nn as nn
from torch.nn import Module
import neural_renderer as nr
from pose.manopth.manopth.manolayer import ManoLayer
from .theta_regressor import ThetaRegressor
class EncEncoder(nn.Module):
def __init__(self, inp_ch, out_ch, name='enc'):
super(EncEn... |
import logging
import os
import sys
import cv2
import numpy as np
import torch
import torch.nn as nn
import _init_paths
from config import cfg, update_config
from models.utils import _gather_feat, _transpose_and_gather_feat
from tensorrt_model import TRTModel
from utils.image import get_affine_transform, transform_pr... |
"""
Quick Start
===========
Installation::
pip install flask-jwt-router
Basic Usage::
from flask import Flask
from flask_jwt_router import JwtRoutes
app = Flask(__name__)
# You are required to always set a unique SECRET_KEY for your app
app.config["SE... |
"""Controller requesting state from datapath."""
# System imports
from enum import Enum
# Local source tree imports
from pyof.foundation.base import GenericMessage, GenericStruct, IntEnum
from pyof.foundation.basic_types import (
BinaryData, FixedTypeList, Pad, UBInt8, UBInt16, UBInt32, UBInt64)
from pyof.v0x05.c... |
from abc import ABC, abstractmethod
import textwrap
from typing import Union, List, Dict
from pydantic import BaseModel
from nmea.nmea_utils import convert_bits_to_int, convert_int_to_bits, get_char_of_ascii_code, convert_decimal_to_ascii_code, \
convert_ascii_char_to_ascii6_code, add_padding, add_padding_0_bits,... |
from django import template
from django.contrib.auth.models import User
register = template.Library()
from django.shortcuts import render, get_object_or_404
from ..models import Analysis, ProjectComment, Module, Project, File, ParamsComment, Param
from ..forms import ProjectEditCommForm, ParamForm2, ModuleParamForm, P... |
#!/usr/bin/env python3
import os
import html
import signal
from chwall.gui.shared import ChwallGui
from chwall.wallpaper import current_wallpaper_info
from chwall.utils import get_binary_path, reset_pending_list
import gi
gi.require_version("Gtk", "3.0")
from gi.repository import Gdk, GdkPixbuf, GLib, Gtk # noqa: E... |
errors_semantic = []
def append_error_semantic(fila, column, error):
errors_semantic.append(f'({fila}, {column}) - {error}')
class Method:
def __init__(self, id, parametros, returned_type):
self.returnedType = returned_type
self.id = id
self.args = parametros
class Attribute:
def... |
#!/usr/bin/env python
import sys
import codecs
import csv
import os
from operator import itemgetter
#from VUA_pylib.lexicon import MPQA_subjectivity_lexicon
def get_first_term_id(token_data,term_data,this_ids):
vector_tid_pos = []
for tid in this_ids:
span_token = term_data[tid][2]
min_token... |
# @Author: Ivan
# @Time: 2020/11/16
import os
import time
import argparse
import torch
from torch import nn
import torch.optim as optim
import torch.nn.functional as F
from torchvision import utils
import matplotlib.pyplot as plt
from utils.datasets import create_dataloader
from utils.util import parse_cfg
from models ... |
"""
Created on Mar 1, 2014
@author: briank
Get the internet address and make reports available for web interface.
Since PyHouse is always running (as a daemon) this module will get the IP-v4 address that is
assigned to our router by the ISP.
It will then take that IP address and update our Dynamic DNS provider so w... |
import numpy as np
import logging
import sys
from enum import Enum
import matplotlib.pyplot as plt
from collections import namedtuple
from sklearn.datasets import load_boston
from sklearn.preprocessing import PolynomialFeatures
from sklearn.model_selection import train_test_split, KFold
logging.basicConfig(stream=sys.... |
import tkinter as tk
import vlc
import os
import cv2
import HandTracking as ht
import math
import numpy as np
import sys
import time
import platform
if sys.version_info[0] < 3:
import Tkinter as Tk
from Tkinter import *
from Tkinter.filedialog import askopenfilename
else:
import tkinter as Tk
fro... |
################################## 2222222222222222222 #####################################
#!/usr/bin/python3
import os
import json
import logging
import requests
logger = logging.Logger('catch_all')
def query_az(query):
json_cis=os.popen(query).read()
return json.loads(json_cis)
def check21... |
#!/usr/bin/env python
import os, sys
import joblib
from copy import deepcopy
from typing import Optional, Dict, Tuple, List
import numpy as np
np.set_printoptions(precision=5, suppress=True)
import wfdb
import torch
from torch import nn
from scipy.signal import resample, resample_poly
from easydict import EasyDict as... |
import pandas as pd
import os
from os.path import join
import logging
from datetime import datetime
import sys
# TODO: Quota management
# TODO: Fix file not fond error
# TODO: Make filecount check - if 0 - do not continue
def get_export_files(directory):
"""
Return a list of UPCC export files from given dire... |
import numpy as np
# Navigation Views
import navigation_vis.Raster as NavGridView
from mpl_toolkits.axes_grid1 import make_axes_locatable
from matplotlib import cm as cm, pyplot as plt, colors as mplotcolors
def plot_grid_data_helper(data, ann=None, ann_sz=12, ann_col="black", title=None, grid=None, cmap=cm.viridis, ... |
from sklearn.metrics import roc_auc_score, accuracy_score, precision_score, recall_score
from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score, f1_score
from sklearn import metrics
from sklearn.metrics import precision_recall_curve
from dataset import dataset_names
import numpy as np
import torc... |
import sys
import os
import torch
from allennlp.data.iterators import BucketIterator
from allennlp.data.iterators import BasicIterator
from allennlp.modules.text_field_embedders import TextFieldEmbedder
import torch.optim as optim
from acsa.acsc_pytorch.my_allennlp_trainer import Trainer
from allennlp.data.vocabulary ... |
from collections import defaultdict
from openpyxl import Workbook, load_workbook
from openpyxl.styles import Font, Alignment, PatternFill, Protection
from openpyxl.utils import coordinate_to_tuple
from .trie import OntTrie
from .dataval import DataVal
from .utils import resize_sheet
def tagged_to_trie(tagged, onto_... |
"""
Chapter 5: Multivariate Outlier Detection
"""
import pandas as pd
import json
from pandas.plotting import parallel_coordinates
import matplotlib.pyplot as plt
import plotly.plotly as ply
import plotly.graph_objs as go
from plotly.offline import plot as plyplot
import seaborn as sns
from sklearn.decomposition impor... |
"""
Implement NST
"""
from __future__ import print_function
import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.optim as optim
from PIL import Image
import matplotlib.pyplot as plt
import torchvision.transforms as transforms
import torchvision.models as models
import copy
import os
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
import pandas as pd
from tensorflow.keras.callbacks import ModelCheckpoint, ReduceLROnPlateau
from tensorflow.keras.callbacks import EarlyStopping
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.mod... |
#Import Libraries
import signal
import warnings
warnings.filterwarnings('ignore')
import sys
import RPi.GPIO as GPIO
import time
import datetime
import os
import random
from pydub import AudioSegment
from pydub.playback import play
import numpy as np
from gtts import gTTS
import os
#Definition of motor pins on respec... |
# BlueGraph: unifying Python framework for graph analytics and co-occurrence analysis.
# Copyright 2020-2021 Blue Brain Project / EPFL
# 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 a... |
import json
import websocket
from tqdm.notebook import tqdm
import requests
import hashlib
import hmac
import time
import requests
import uuid
import datetime
from agents.stock_agent import BackTest
from configparser import ConfigParser
import uuid
from urllib.parse import urlencode
class LiveTrader(BackTest):
de... |
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... |
from io import BytesIO
from buidl.helper import (
encode_varint,
hash256,
int_to_little_endian,
read_varint,
read_varstr,
)
from buidl.siphash import SipHash_2_4
BASIC_FILTER_TYPE = 0
GOLOMB_P = 19
GOLOMB_M = int(round(1.497137 * 2 ** GOLOMB_P))
def _siphash(key, value):
if len(key) != 16:
... |
import importlib
from rest_framework import serializers
class InvalidValue(Exception):
def __init__(self, ref, expected_type=None):
message = "The value for %s is invalid." % ref
if expected_type is not None:
message += " Expected type or types %s." % expected_type
super().__i... |
"""
Module containing the ImageJ ROI encoder/decoder.
This module was adapted from the mahotas-imread package (https://github.com/luispedro/imread)
written by <NAME> (<<EMAIL>>) and published under the MIT license.
ROI format definition:
ImageJ/NIH Image 64 byte ROI outline header 2 byte numbers are big-endian signed... |
from functools import partial
import numpy as np
import tensorflow as tf
from sklearn.preprocessing import OneHotEncoder
from cleverhans.attacks.fast_gradient_method import optimize_linear
from cleverhans import utils_tf
from cleverhans.utils_tf import clip_eta
from .robust_nn.eps_separation import find_eps_separated... |
#!/usr/bin/env python
import json
import pickle
import numpy as np
#=======================================================================
PERIODIC_DICT = {'True': 1, 'False': 0}
#=======================================================================
def pickle_load(file_name):
return pickle.load(open(file_n... |
# ------------------------------------------------------------------------------
# Copyright (c) Microsoft
# Licensed under the MIT License.
# Written by <NAME> (<EMAIL>)
# ------------------------------------------------------------------------------
import os
import pdb
import sys
sys.path[0] = os.getcwd()
... |
#!/usr/bin/python3
import click
import nisyscfg
from nisyscfg.errors import LibraryError
class DeviceNotFoundError(Exception):
pass
@click.group()
def nisyscfgcli():
"""Manipulate hardware resources detected by NI System Configuration API
==================================================================... |
#!/usr/bin/env python
# Copyright (C) 2014 Claudio "nex" Guarnieri.
# This file is part of Habu - https://github.com/botherder/habu
# See the file 'LICENSE' for copying permission.
# Big up for @ochsff for allowing me to rip off part of his code.
import os
import re
import sys
import time
import shutil
import argpars... |
import enum
import os, sys
current_path = os.path.dirname(os.path.realpath(__file__))
PROJECT_HOME = os.path.abspath(os.path.join(current_path, os.pardir))
if PROJECT_HOME not in sys.path:
sys.path.append(PROJECT_HOME)
class AgentMode(enum.Enum):
TRAIN = "TRAIN"
TEST = "TEST"
PLAY = "PLAY"
class OS... |
# Copyright 2020 Polo Digital Assets, Ltd.
#
# 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, publis... |
import tdl
from sys import exit as closeProgram
import time
_SCREEN_WIDTH = 80#80 is default
_SCREEN_HEIGHT = 25#25 is default
_LIMIT_FPS = 10 # 20 frames-per-second maximum
try:
tdl.set_font('shadowpriest12x20.png', greyscale=False, altLayout=False)
except:
try:
tdl.set_font('shadowpriest16x24_gs_r... |
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