text stringlengths 3.07k 12.6k |
|---|
# coding: utf-8
# Copyright (c) Max-Planck-Institut für Eisenforschung GmbH - Computational Materials Design (CM) Department
# Distributed under the terms of "New BSD License", see the LICENSE file.
import unittest
import matplotlib
import matplotlib.pylab as plt
import numpy as np
from pyiron_atomistics.atomistics.st... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import List, Tuple
import hydra
import pytest
import torch
from hydra.experimental import compose, initialize
from omegaconf import OmegaConf as OC
from mtrl.agent.components.encoder import make_encoder
from mtrl.agent.ds.mt_obs import... |
import numpy as np
from collections import deque
def is_connected(topology):
"""
Determines if a topology is a connected structure.
Parameters
----------
topology : 2d binary ndarray
A binary matrix representing the topology. A value of 1 is a solid
element, 0 is a void elem... |
"""This module provided tools that helped to write tests.
.. deprecated:: 7.1
This module will be **removed in Sopel 8**.
It formerly contained mock classes for the bot, its wrapper, and its config
object. As the module is deprecated, so are they, and they will be removed
as well.
New code shoul... |
import argparse
import json
import zipfile
from tqdm import tqdm
import os
import random
from glob import glob
from typing import Dict, List, Tuple
from zipfile import ZipFile
import numpy as np
import pandas as pd
import statsmodels.formula.api as smf
from ee.ee_number import Number
from tifffile import imread
def ... |
from pymongo import MongoClient
import bson
import requests
from bson.json_util import loads
from bson.json_util import dumps
import json
class FLServerUpdateInvoke:
def __init__(self, mongo_url, mongo_db, collection_name):
self.mongo_url = mongo_url
self.proxies = {
"http": "http://p... |
#!/usr/bin/env python3
# Run this in Python 3.
# Author: <NAME>
# Released under Apache license 2.0.
# This script calculates take-home pay for a given CTC, for both an employee and a consultant.
#
# Assumptions:
# 1) GST comes out of your pocket — you can't pass the GST along by grossing it up.
# 2) This is for fi... |
import pandas as pd
import re
import nltk
import string
import json
import requests
from decouple import config
import math
import os
import argparse
import unicodedata
# Global Variables
stopwords = nltk.corpus.stopwords.words('english')
special_characters = string.punctuation
def get_arg_parser():
"""Allows ar... |
import numpy as np
import stk
class AxialPaddlewheel(stk.metal_complex.MetalComplex):
"""
Represents a metal complex topology graph.
Two distinct metal building blocks, one with five functional
groups, one with four.
Binding ligand building blocks with two functional groups are
required for ... |
import functools
import io
from typing import BinaryIO, Callable, List, Optional, TextIO, TypeVar, Union
import numpy as np
import pretty_midi
from smart_open import open
from mirdata import annotations
T = TypeVar("T") # Can be anything
def coerce_to_string_io(
func: Callable[[TextIO], T]
) -> Callable[[Opti... |
# -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright 2019 by ShabaniPy Authors, see AUTHORS for more details.
#
# Distributed under the terms of the MIT license.
#
# The full license is in the file LICENCE, distributed with this software.
# ----------------... |
import os
from pywebvue import App
from pywebvue.modules import VTK
from vtkmodules.vtkIOXML import vtkXMLPolyDataReader
from vtkmodules.vtkFiltersGeneral import vtkExtractSelectedFrustum
from vtkmodules.vtkFiltersCore import vtkThreshold
# ----------------------------------------------------------------------------... |
"""This module creates and handles distance matrices"""
import itertools
import numpy as np
import sys
def create(id_list, distance):
"""Create a distance matrix (as Matrix object).
Calculate distance measures between all pairs of sequences.
Args:
id_list (list): list of sequence identifiers
... |
# -*- coding: utf-8 -*-
# Copyright (c) 2016-2021 by University of Kassel and Fraunhofer Institute for Energy Economics
# and Energy System Technology (IEE), Kassel. All rights reserved.
try:
import pplog as logging
except ImportError:
import logging
logger = logging.getLogger(__name__)
import numpy as np
... |
import pandas as pd
import numpy as np
import copy
class HoltWintersResults(object):
"""
Results class for HoltWinters
Attributes
----------
fitted: array-like
y_hat values fitted by the model.
endog: array-like
Original data to which the model was fit.
index: pd.Index ... |
import asyncio
import discord
import re
from discord.ext import commands
from Cogs import Nullify
# bot = None
# url_regex = re.compile(r"(http|ftp|https)://([\w_-]+(?:(?:\.[\w_-]+)+))([\w.,@?^=%&:/~+#-]*[\w@?^=%&/~+#-])?")
def setup(bot):
# This module isn't actually a cog - but it is a place
# ... |
# -*- coding: utf-8 -*-
__author__ = "<NAME>"
import numpy as np
import sys
import time
import h5py
import keras.backend as K
import tensorflow as tf
#-----------------------------------------------------
def display_hd5_weights(hd5_file):
data = h5py.File(hd5_file, 'r')
print('_'*80)
print('*** we... |
# -----------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# -----------------------------------------------------------------------------
""... |
# coding=utf-8
import dropbox
import os.path
import subprocess
import os
import re
import requests
import win32api
import tempfile
import zipfile
import time
import argparse
def get_file_win_properties(fname):
propNames = ('Comments', 'InternalName', 'ProductName',
'CompanyName', 'LegalCopyright', 'Produc... |
from opal_common.fetcher.providers.http_fetch_provider import HttpFetcherConfig
import os
from enum import Enum
from sys import prefix
import opal_client
from opal_client.opa.options import OpaServerOptions
from opal_common.confi import Confi, confi
from opal_common.config import opal_common_config
from opal_common.sc... |
#!/usr/bin/python2.4
# Copyright (c) 2006-2008 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Does scraping for Firefox 2.0."""
import pywintypes
import time
import types
from drivers import keyboard
from drivers imp... |
import time
import datetime
import uuid
import os
import sys
import stat
import os.path
import threading
import tarfile
import hashlib
import string
import shutil
import errno
from future.utils import iteritems
from pandaharvester.harvestercore import core_utils
from pandaharvester.harvestercore.plugin_base import Pl... |
import os
import json
import subprocess
from shutil import copyfile
from subprocess import PIPE, run as subprocess_run
from typing import List, Dict
from retry import retry
from src.contracts.secret.secret_contract import swap_json
from src.util.config import Config, config
from src.util.logger import get_logger
log... |
"""
Copyright (c) IBM 2015-2017. All Rights Reserved.
Project name: storm-thunder
This project is licensed under the MIT License, see LICENSE
Serializable configuration functionality
Deployment DSL
--------------
We support multiple types of the deployment syntax.
1. The fully Hjson parseable version where deployme... |
from decimal import Decimal
from math import ceil
from os import listdir
from os.path import join, exists
import matplotlib.pyplot as plt
class BillingData():
def __init__(self, host):
self.host = host
self.cpu_pct = list()
self.net_sent_mb = list()
self.net_recv_mb = list()
... |
from enum import Enum
from typing import Any
from .exceptions import LexerError, ErrorCode
escape_sequence = {
'\\': '\\',
'\'': '\'',
'\"': '\"',
'a': '\a',
'b': '\b',
'f': '\f',
'n': '\n',
'r': '\r',
't': '\t',
'v': '\b'
}
class Location:
def __init__(self, lineno: int,... |
import keras
import matplotlib
import numpy as np
import pandas as pd
import urllib3
import tensorflow as tf
import _utils as ut
import matplotlib.pyplot as plt
import seaborn as sns
import scipy.stats as stats
import os
def joinLocalData():
path1 ='.csv'
path2 ='.csv'
path3 ='.csv'
pat... |
# emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 noet:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ##... |
# Copyright 2018 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... |
import random
from PIL import Image, ImageDraw, ImageFont
import requests
from lxml import etree
import base64
from flask import Flask
import demjson
import os
import traceback
app = Flask(__name__)
def url_encode(url):
return str(base64.urlsafe_b64encode(str(url).encode()).decode())
def url_decode(url):
r... |
import hashlib
import pathlib
from functools import wraps
from itertools import chain
try:
import magic # from sys-apps/file consider python-magic ?
except ImportError:
pass
from dateutil import parser
from augpathlib import PrimaryCache, EatCache, SqliteCache, SymlinkCache
from augpathlib import XopenPath, R... |
import numpy as np
import argparse
from tensorflow.keras.layers import Input, Flatten, Dense, Reshape, Dropout, Embedding, Multiply, Activation, Conv2D, ZeroPadding2D, LocallyConnected2D, Concatenate, GRU, Lambda
from tensorflow.keras.layers import BatchNormalization
from tensorflow.keras.layers import LeakyReLU
from ... |
"""
Generate gl.py and gl_compat.py
See : tools/requirements.txt
We are using the opengl-registry project to extract this information from
https://raw.githubusercontent.com/KhronosGroup/OpenGL-Registry/master/xml/gl.xml
A local version gl.xml can also be used.
Usage:
# Fetch gl.xml from Khronos Github repo
python g... |
# -*- coding: utf-8 -*-
# Copyright (c) 2011-2014, Camptocamp SA
# 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 PySimpleGUI as sg
import json
import os
# used to load theme for window elements
try:
conf = open('resources/config.json')
theme = json.load(conf)
if 'theme' in theme:
sg.theme(theme['theme'])
except FileNotFoundError:
sg.theme('DarkBlue3')
def template_editing_window(sections, section... |
from MS import *
from MA import *
from MSV import *
def insert_reads(parameter_set, dataset_name, sequencer_name, file_queue, file_queue_2=None,
runtime_file=None, coverage=50):
#parameter_set.by_name("Number of Threads").set(16)
#parameter_set.by_name("Use all Processor Cores").set(False)
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function, unicode_literals
import pytest
from pytest import raises, approx
from utf8config.core import (
validate_key, extract_comment, remove_post_comment,
Field, Section, Config,
)
def test_validate_key():
validate_key("DEFAULT"... |
# -*- coding: utf-8 -*-
# Copyright (c) 2012-2015, Cenobit Technologies, Inc. http://cenobit.es/
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain th... |
from enum import Enum
from typing import Iterable, Tuple
import numpy
class StatisticType(Enum):
R2 = "R^2"
RMSE = "RMSE"
MSE = "MSE"
def _compute_statistics(measured_values, estimated_values, statistics):
"""Calculates a collection of common statistics comparing the measured
and estimated val... |
#!/usr/bin/python3
"""
app.py
MediaWiki API Demos
Holidays viewer: A demo app that fetches the day's holidays from Wikipedia
with options to search for holidays of other dates, and login to add new
holidays.
MIT license
"""
from datetime import datetime
from flask import Flask, render_templ... |
# <NAME>
# !pip install tensorflow==1.4
import tqdm
import numpy
import os
import tensorflow as tf
print(tf.__version__)
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
tf.logging.set_verbosity(tf.logging.ERROR)
#tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
#
# Hyper-Parameters
#
LEARNING_RATE = 0.0001
... |
#!/usr/bin/python3
'''Advent of Code 2018 Day 13 solution'''
from typing import TextIO, Any, Dict, List, Tuple, Set
Input = Dict[str, Any]
Coords = Tuple[int, int]
Cart = Tuple[int, int, int, int]
def up(z: Coords, c: Cart, inputs: Input) -> Cart:
'''Move cart up'''
if inputs['map'][z[0]][z[1]] == '|':
... |
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten
from keras.layers import Conv2D, MaxPooling2D
from keras.layers import LeakyReLU
import keras.backend as K
import numpy as np
import cv2
import json
import matplotlib.pyplot as plt
import datetime
import os
import random... |
'''
handle aspects of covid data
including as infection rates, death rates and hospital admissions
'''
import json
import csv
import time
import sched
import logging
from uk_covid19 import Cov19API
logging.basicConfig(filename='logfile.log', level=logging.DEBUG)
'''
open the config file and assign variables to its co... |
import pickle
from typing import Dict, List, Tuple
import dgl
import torch
import torch.nn
import torch.nn.functional
from matplotlib import pyplot
from openforcefield.topology import Molecule
from nagl.dataset.dataset import MoleculeGraphDataLoader, MoleculeGraphDataset
from nagl.dataset.features import (
AtomCo... |
"""
Class for managing the ftp mode
"""
import datetime
import hashlib
import math
import re
from ftplib import FTP
from io import BytesIO, StringIO
from os import mkdir, path, remove, rmdir, walk
from StateManager import StateManager
from utils import handle_failure, retry_function
def log(*content):
"""
Lo... |
#!/usr/bin/env python
from ..common import *
from urllib import parse
import random
from time import sleep
import xml.etree.ElementTree as ET
import datetime
import hashlib
import base64
import logging
from urllib import error
import re
__all__ = ['icourses_download']
def icourses_download(url, merge=False, output_d... |
import cv2
import numpy as np
# cap = cv2.VideoCapture(0) #카몌라 불러오기
# if cap.isOpened() == False: #카메라 열림 확인
# exit()
# while True :
# ret, img = cap.read() #카메라 읽기
# cv2.imshow('preview', img) #읽은 이미지 보여주기
# if cv2.waitKey(10) >= 0 : #10ms간 대기, 입력이 있으면 종료
# break
# # 연결 끊기
# cap.... |
# -*- coding: utf-8 -*-
u"""Arquivo de configuração do Django."""
import datetime
import logging
from os.path import abspath
from os.path import basename
from os.path import dirname
from os.path import join
from os.path import normpath
from configurations import Configuration
from configurations import values
DJANGO... |
from flask import Flask, render_template, request, redirect, url_for
from flask_sqlalchemy import SQLAlchemy
from datetime import datetime
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///expenses_tracker.db'
db = SQLAlchemy(app)
#Database:
#1)Table User:
class User(db.Model):
__tablena... |
#!/usr/bin/env python3
import base64
import hashlib
import itertools
import json
import os
import re
import sqlite3
import time
import uuid
import zipfile
from pydub import AudioSegment
EXTRA_DIGIT = re.compile('\d+$')
DECK_ID = 1578170359311
MODEL_ID = 1578170379751
SEPERATOR = "\u001F"
CARD_SQL = "INSERT INTO c... |
'''
api
存在问题：
- 并发请求时，且前一请求正在查询会导致卡死
'''
import time
from pymongo import MongoClient
from flask import Flask, request, jsonify, Response
from flask_restful import Api, Resource, reqparse
from werkzeug.datastructures import Headers
from conf.config import MongoDBConfig
app = Flask(__name__)
client = MongoClient(MongoD... |
# Copyright © 2021 <NAME>, <NAME> and <NAME>
# This file is part of the mdma library and licensed under the terms of the MIT license.
# For a copy, see the LICENSE file in the root directory.
from mdma import fit
from experiments.causal_discovery.pcalg import estimate_skeleton, estimate_cpdag
from mdma import utils
fr... |
import os
import base64
import binascii
from importlib import import_module
from django.http import FileResponse
from rest_framework.authentication import SessionAuthentication, BasicAuthentication, get_authorization_header
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Res... |
import sys, sim
"""
Conversion factors for subsecondtime (femtoseconds) to other units
"""
class Time:
FS = 1.
PS = 1e3
NS = 1e6
US = 1e9
MS = 1e12
S = 1e15
"""
Register an object as being a hooks listener.
Will register hooks callback functions to the object's member functions with matching (lowerc... |
import six
import random
from mission import Mission, MissionEnvironment, MissionStateBuilder
# Simple multi-agent mission, with 2 agents and an observer based on:
# https://github.com/Microsoft/malmo/blob/master/Malmo/samples/Python_examples/multi_agent_test.py
class MultiAgent(Mission):
def __init__(self, ms_p... |
# Copyright (c) 2019 NVIDIA Corporation
import torch
from .metrics import word_error_rate
def __ctc_decoder_predictions_tensor(tensor, labels):
"""
Decodes a sequence of labels to words
"""
blank_id = len(labels)
hypotheses = []
labels_map = dict([(i, labels[i]) for i in range(len(labels))])... |
# Copyright 2017-2019 EPAM Systems, Inc. (https://www.epam.com/)
#
# 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... |
import os.path
from data.base_dataset import BaseDataset, get_transform
from data.image_folder import make_dataset
from PIL import Image
import imageio
import random
import torch
import numpy as np
def normalize(exp):
# exp: H X W X C
# Normalize data
# x mean = -0.03465565666556358
# x std = 4.961168... |
"""
.. module:: WindPrediction
WindPrediction
*************
:Description: WindPrediction
:Authors: bejar
:Version:
:Created on: 06/09/2017 9:47
"""
from __future__ import print_function
import os
import sys
import json
import pandas as pd
import numpy as np
import math
import keras.backend as K
import pprint
im... |
# Copyright (C) 2017 <NAME> <<EMAIL>>
"""
Transform the fits image to jpeg form after some preprocessings,
so as to generate images for the paper required.
Three images are prepared
1. cropped region under cmap b {id}_b.jpeg
2. cropped region under cmap gray invert {id}_i.jpeg
3. cropped region under cmap b with mann... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
mod_mesma.py is a module containing functions to
organize and preprocess the landsat data before
running the decision tree and mesma. It contains the
functions:
mesma()
Created on Mon Aug 16 15:00:25 2021
@author: <NAME>
"""
import ee
# Define the MESM... |
from ..flow.plotting import FlowPlot
from ..flow import transform
from matplotlib.colors import LogNorm, LinearSegmentedColormap
from .conftest import create_linear_data, create_lognormal_data
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np
import pytest
sns.set(style="whit... |
# Created by <NAME> and <NAME>.
# Last edit 12-JAN-2020
# Short changelog:
# 12-JAN-2020: added more information to header and ID line of output
# fasta files. Adding contig identifier to fasta header was
# required in particular.
# 08-JAN-2020: removed functionality to slice on both reference and
# target... |
import json
from django import http
from django.shortcuts import render
# Create your views here.
from django.views import View
from django.contrib.auth.mixins import LoginRequiredMixin
from django_redis import get_redis_connection
from apps.goods import models
from utils.response_code import RETCODE
class CartsVi... |
import math
import random
import warnings
from functools import partial
from typing import Dict
import calibration as cal
import optuna
import torch
import torch.nn.functional as F
from torch import Tensor, nn
from torch.optim import Adam
from torch.optim.lr_scheduler import OneCycleLR
from torch.utils.data import Dat... |
#!/usr/bin/python
# Copyright 2016, IBM
# Copyright 2016, <NAME> <<EMAIL>>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... |
#add parent dir to find package. Only needed for source code build, pip install doesn't need it.
import os, inspect
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(os.path.dirname(currentdir))
os.sys.path.insert(0,parentdir)
import gym, logging
from mp... |
# -*- coding: utf-8 -*-
# pylint:disable=protected-access
"""
Experiment node for EVC
=======================
Experiment nodes connecting experiments to the EVC tree
The experiments are connected to one another through the experiment nodes. The former can be created
standalone without an EVC tree. When connected to a... |
import os, copy
from flask_api import status
from models.main import *
from models.appendix import *
from models.segment import *
from models.prescription import *
from models.notes import ClinicalNotes
from flask import Blueprint, request
from flask_jwt_extended import (create_access_token, create_refresh_token,
... |
import json
import logging
from pathlib import Path
from typing import Union
import hydra
import numpy as np
import torch
import yaml
from omegaconf import OmegaConf
from torch.utils.data import DataLoader
from src.data import ag_news
from src.data.dataset import DownstreamDataset
from src.eval_utils import centroid_... |
from amdnet.hierarch_model import Hierarch_MEGNetModel, HierarchGraphModel
from amdnet.data.graph import GaussianDistance
from amdnet.data.crystal import CrystalGraph
from amdnet.utils.preprocessing import get_graph_from_schnet_data
from amdnet.layers import _CUSTOM_OBJECTS
from tensorflow.keras.backend import relu
fro... |
import base58
import base64
import hashlib
import rlp
import secrets
import math
from nacl.hash import blake2b
from nacl.encoding import RawEncoder
from aeternity import identifiers
def _base58_encode(data):
"""create a base58 encoded string with checksum"""
return base58.b58encode_check(data)
def _base58... |
from torch.utils.data import Dataset
from torch import tensor, cat, stack, FloatTensor, Tensor, save
import ray
from torch.nn.utils.rnn import pad_sequence
from tqdm import tqdm
import pickle
from pathlib import Path
from torch.utils.data import DataLoader
from .BaseNet import StochasticActor
from torch.optim import Ad... |
"""
Various utilities that don't fit anwhere else.
"""
from itertools import zip_longest
from typing import Any, Callable, Dict, List, TypeVar, Union
import random
import torch
import numpy
import spacy
from spacy.language import Language as SpacyModelType
from models.custom_allennlp.elmo_dependencies.params import ... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# @Author: <NAME> (<EMAIL>)
# @Date: 2020-07-29
# @Filename: test_configuration.py
# @License: BSD 3-clause (http://www.opensource.org/licenses/BSD-3-Clause)
import inspect
import io
import os
import unittest.mock
import pytest
from sdsstools import Configuration, get_... |
from torchvision import datasets, transforms
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from argparse import ArgumentParser
from tqdm import tqdm
import time
import numpy as np
###########
# file imports / path issues
import os
import sys
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
from collections import OrderedDict, namedtuple
import inspect
import functools
import os
import re
import sys
import types
import warnings
from tfi.base import _GetAttrAccumulator
from tfi.par... |
'''
Name: Shashank *******
Roll No: 015
Implementation of the Unification Function
'''
import re
class Token(object):
def __init__(self, tok_type, value):
self.tok_type = tok_type
self.value = value
def __str__(self):
return f"Token({self.tok_type}, {self.value})"
def __repr__(se... |
from robot.api.parsing import (
ModelTransformer,
Token,
EmptyLine,
Comment,
ModelVisitor,
ForHeader,
End,
IfHeader,
ElseHeader,
ElseIfHeader,
)
from robotidy.decorators import check_start_end_line
from robotidy.utils import round_to_four, is_suite_templated
class AlignTestCas... |
# coding=utf-8
from __future__ import absolute_import, division, print_function
import logging
import scipy.stats
import numpy as np
import torch
from tqdm import tqdm
from torchvision import transforms
from vit_iqa.modeling_vit_iqa import VisionTransformer, CONFIGS
from torch.utils.data import DataLoader, Sequenti... |
import os
import unittest
from datetime import datetime, timezone
from time import monotonic
from unittest.mock import MagicMock, call
from sight_machine import BinaryLoggerBis, BinaryLoggable, InvalidClass
class TestBinaryLoggerBis(unittest.TestCase):
log_file = '/tmp/test_binary_logger.log'
def setUp(self... |
#!/usr/bin/env python
from __future__ import print_function
import os
import sys
import shlex
import subprocess
from private_key import d
"""
Utils
"""
def run_cmd(cmd):
try:
args = shlex.split(cmd)
return subprocess.check_output(args)
except Exception as ex:
return str(ex)
"""... |
# Copyright (c) 2019, <NAME>. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain View, CA 940... |
# sql/functions.py
# Copyright (C) 2005-2013 the SQLAlchemy authors and contributors <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
from .. import types as sqltypes, schema
from .expression import (
ClauseList, Fu... |
import aiohttp.web
import dataclasses
from functools import wraps
import logging
from typing import Any, Callable
import json
import traceback
from dataclasses import dataclass
import ray
import ray.dashboard.utils as dashboard_utils
from ray._private.job_manager import JobManager
from ray._private.runtime_env.packagi... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from unittest import TestCase
import mock
import json
import urllib2
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from libdict.macmillan import models, query_site
words = [
'take-on', # multiple keys in last sense
'yours', # intr... |
from ..utility import settings
import bpy
from bl_ui import (
properties_render,
properties_data_camera,
#properties_data_lamp,
#properties_material,
)
class PhotonRenderer(bpy.types.RenderEngine):
# These three members are used by blender to set up the
# RenderEngine; define its internal name, visible na... |
import urllib.parse
from random import randrange
from typing import Optional
from django.db import models
from credo_classification.drf import DjangoPlusViewPermissionsMixin
from users.models import User
class Team(models.Model):
"""
CREDO Team imported from original CREDO Database.
The id and name fie... |
import numpy as np
from matplotlib import transforms as mtransforms
from matplotlib.ticker import (
FixedFormatter,
FixedLocator,
LogFormatter,
LogLocator,
MultipleLocator,
Formatter)
class FractionalOctaveFormatter(FixedFormatter):
def __init__(self, n_fractions=1):
if n_fractions... |
import numpy as np
import pandas as pd
import yfinance as yf
from yahoo_earnings_calendar import YahooEarningsCalendar
import mktanalytics as ma
from tqdm.notebook import tqdm
def nearest(items, pivot):
return min(items, key=lambda x: abs(x - pivot))
def get_atm_vol(undl_list, weeks=1, calc_strangle=False, target_pr... |
# Python implementation of the KD Tree
# Para su uso es necesario instalar la librería matplotlib
from heapq import heappush, heappop
from collections import namedtuple
import matplotlib.pyplot as plt
from treelib import Node, Tree
from math import inf
class Point:
def __init__(self, data):
sel... |
# -*- coding: utf-8 -*-
'''
General management functions for salt, tools like seeing what hosts are up
and what hosts are down
'''
# Import python libs
import os
import subprocess
# Import salt libs
import salt.key
import salt.client
import salt.output
def status(output=True):
'''
Print the status of all kn... |
from django.conf import settings
from django.views.generic import DetailView
from django.contrib import messages
from django.contrib.auth.decorators import login_required, permission_required
from django.core.paginator import Paginator, PageNotAnInteger, EmptyPage
from django.shortcuts import render, reverse, redirect,... |
import rdflib
from rdflib import URIRef, Literal
from rdflib import RDFS, OWL, XSD
import operator # Used in sorting
from sets import Set
# Defaults
defaultLanguage = 'en'
# Set up the graph
g=rdflib.Graph()
OPDS = rdflib.Namespace('http://joinedupdata.org/ontologies/philanthropy/')
g.namespace_manager.bind('opds',... |
"""Command-line interface to rhasspyasr-deepspeech-hermes"""
import argparse
import asyncio
import logging
import typing
from pathlib import Path
import paho.mqtt.client as mqtt
import rhasspyhermes.cli as hermes_cli
from rhasspyasr_deepspeech import DeepSpeechTranscriber
from rhasspysilence import SilenceMethod
from... |
#!/usr/bin/env python
# filename: scpcr_demultiplexing.py
#
# Copyright (c) 2015 <NAME>
# License: The MIT license (http://opensource.org/licenses/MIT)
#
# 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 th... |
# OTFlowProblem.py
import math
import torch
from torch.nn.functional import pad
from src.Phi import *
def vec(x):
"""vectorize torch tensor x"""
return x.view(-1,1)
def OTFlowProblem(x, Phi, tspan , nt, stepper="rk4", alph =[1.0,1.0,1.0] ):
"""
Evaluate objective function of OT Flow problem; see Eq.... |
import torch
from torch import nn
import numpy as np
import pandas as pd
import gym
import collections
#使用cuda加速训练
device = 'cuda' if torch.cuda.is_available() else 'cpu'
class DQNReplayer:
def __init__(self, capacity):
self.memory = pd.DataFrame(index=range(capacity),
c... |
import warnings
from sklearn.svm import OneClassSVM
from sklearn.model_selection import train_test_split
from sklearn.multiclass import OneVsRestClassifier as ORC
from sklearn.neighbors import KNeighborsClassifier as knn
from sklearn.naive_bayes import GaussianNB
import pandas as pd
import get_images
import get_landmar... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.