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# PointNet++ Layers # Author: Charles R. Qi # Date: November 2017 import os import sys import numpy as np import tensorflow as tf from tf_ops.tf_interpolate import three_nn, three_interpolate from tf_ops.tf_grouping import query_ball_point, group_point, knn_point from tf_ops.tf_sampling import farthest_point_sample, g...
from setuptools import setup import sys import os import re PACKAGENAME = 'parm' packageDir = os.path.join(os.path.dirname(os.path.abspath(__file__)), PACKAGENAME) # Obtain the package version versionFile = os.path.join(packageDir, 'version.py') with open(versionFile, 'r') as f: s ...
# coding: utf-8 """ Hydrogen Atom API The Hydrogen Atom API # noqa: E501 OpenAPI spec version: 1.7.0 Contact: info@hydrogenplatform.com Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import unittest import nucleus_api from nucleus_...
from django.urls import path, include from rest_framework.routers import DefaultRouter from profiles_api import views router = DefaultRouter() router.register('hello-viewset', views.HelloViewSet, base_name = 'hello-viewset') router.register('profile', views.UserProfileViewSet) router.register('feed', views.UserProf...
try: from zcrmsdk.src.com.zoho.crm.api.exception import SDKException from zcrmsdk.src.com.zoho.crm.api.util import Constants except Exception: from ..exception import SDKException from ..util import Constants class Field(object): def __init__(self, api_name): """ Creates an instance of Field with the given p...
# Make sure web2py reloads modules from gluon.custom_import import track_changes track_changes(True) # Make sure to add our module path to the syspath for this app so that modules are loaded properly import os import sys def get_app_folders(): # Will return calculated folders we will need # see return statem...
#!/usr/bin/env python """ This module defines Entry classes for containing experimental data. """ from __future__ import division __author__ = "Shyue Ping Ong" __copyright__ = "Copyright 2012, The Materials Project" __version__ = "0.1" __maintainer__ = "Shyue Ping Ong" __email__ = "shyue@mit.edu" __date__ = "Jun 27,...
import os import json import datetime import jsonschema from api.base.exceptions import InvalidModelValueError here = os.path.split(os.path.abspath(__file__))[0] def from_json(fname): with open(os.path.join(here, fname)) as f: return json.load(f) def validate_user_json(value, json_schema): try: ...
#!/usr/bin/env python2.5 # # Copyright 2009 the Melange authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applic...
# Python imports. import Queue # Other imports. from simple_rl.utils import make_mdp from simple_rl.planning.ValueIterationClass import ValueIteration import hierarchy_helpers class HierarchicalValueIteration(ValueIteration): def __init__(self, mdp, rew_func_list, trans_func_list, sa_stack, aa_stack, name="hiera...
import torch import torch.nn as nn import torchvision.models as models class EncoderCNN(nn.Module): def __init__(self, embed_size): super(EncoderCNN, self).__init__() resnet = models.resnet50(pretrained=True) for param in resnet.parameters(): param.requires_grad_(False) ...
from datetime import datetime def log_msg(log_level, stage, msg): vdate = datetime.now() print("[{}][{}][{}] {}".format(log_level.upper(), vdate.isoformat(), stage, msg)) def is_not_empty (var): if (isinstance(var, bool)): return var elif (isinstance(var, int)): return False empty_...
""" File I/O 'w' -> Write-Only Mode 'r' -> Read-Only Mode 'r+' -> Read and Write Mode 'a' -> Append Mode """ # # # print("*****____ How to Write to a File ____*****") # my_list = [1, 2, 3] # # my_file = open("firstwritefile.txt", "w") # # for item in my_list: # my_file.write(str(item)) # # my_file.close() print("*...
"""lisa: a bioinformatics software epigenome analysis to rank TFs from gene set """ import os from glob import glob from setuptools import setup, find_packages, Extension from numpy.distutils.misc_util import get_numpy_include_dirs def get_extension(): """ get extension for computing regulatory potential from bigw...
import cv2 from matplotlib import pyplot as plt cap = cv2.VideoCapture(0) face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_alt.xml') cas = cv2.CascadeClassifier('haarcascade_eye_tree_eyeglasses.xml') smile_cas = cv2.CascadeClassifier('haarcascade_smile.xml') glasses = cv2.imread('glass.png', -1) cigar = cv...
from typing import Sequence import numpy as np import h5py from easistrain.EDD.io import ( create_info_group, peak_dataset_data, save_fit_data, ) from easistrain.EDD.utils import fit_detector_data, run_from_cli def fitEDD( fileRead: str, fileSave: str, sample: str, dataset: str, scanNu...
""" Contains unit tests to ensure that the transformation of bounding box coordinates from one image to another after scaling is correct. """ import numpy as np from breakdb.io.image import transform_coords, compute_resize_transform class TestTransformCoords: """ Test suite for :function: 'transform_coords'....
import datetime import hashlib import json from flask import Flask, jsonify, request import requests from uuid import uuid4 from urllib.parse import urlparse # Blockchain definition class Blockchain: def __init__(self): self.chain = [] self.transactions = [] self.create_block(proof = 1, p...
""" Django settings for busman project. Generated by 'django-admin startproject' using Django 1.11.14. For more information on this file, see https://docs.djangoproject.com/en/1.11/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.11/ref/settings/ """ import os...
"""Copied almost verbatim from https://github.com/dmlc/xgboost/blob/a5c852660b1056204aa2e0cbfcd5b4ecfbf31adf/tests/python/test_with_sklearn.py in order to ensure 1:1 coverage, with minimal modifications. Some tests were disabled due to not being applicable for a distributed setting.""" # noqa: E501 # Copyright 2021 b...
""" SparseNet for ImageNet-1K, implemented in PyTorch. Original paper: 'Sparsely Aggregated Convolutional Networks,' https://arxiv.org/abs/1801.05895. """ __all__ = ['SparseNet', 'sparsenet121', 'sparsenet161', 'sparsenet169', 'sparsenet201', 'sparsenet264'] import os import math import torch import torch.nn ...
#!/usr/bin/env python3 # Copyright (c) 2017-2019 The Particl Core developers # Distributed under the MIT software license, see the accompanying # file COPYING or http://www.opensource.org/licenses/mit-license.php. import time from test_framework.test_aphory import AphoryTestFramework from test_framework.messages impo...
# This code is part of Qiskit. # # (C) Copyright IBM 2018, 2019. # # This code is licensed under the Apache License, Version 2.0. You may # obtain a copy of this license in the LICENSE.txt file in the root directory # of this source tree or at http://www.apache.org/licenses/LICENSE-2.0. # # Any modifications or derivat...
# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'AddDeploy.ui' # # Created by: PyQt5 UI code generator 5.15.4 # # WARNING: Any manual changes made to this file will be lost when pyuic5 is # run again. Do not edit this file unless you know what you are doing. from PyQt5 import QtCore, Qt...
#!/usr/bin/env python2 """ Script to modify output from SplitsTree because I don't think any software exists to read the network format properly. This version classifies strains into increase, decrease, and same. Requirements: - Choose "simple" method of laying out the labels - Keep hi...
# Definitions of theano.scalar ops that have their python implementation taken # from SciPy. As SciPy is not always available, we treat them separately. import numpy as np import os import theano from theano.gradient import grad_not_implemented from theano.scalar.basic import ( UnaryScalarOp, BinaryScalarOp, ...
from __future__ import unicode_literals import base64 import boto3 import collections import datetime import importlib import inspect import json import logging import os import sys import traceback import zipfile from builtins import str from werkzeug.wrappers import Response # This file may be copied into a projec...
from os.path import isdir import re def filterLines(lines, regex): '''Filters each line of the given line iterator using the given regular expression string. For each match, a tuple containing the text matching each capture group from the regular expression is yielded. ''' matcher = re.compile(regex) for line in...
#!/usr/bin/env python2 # **************************************************************************** # Copyright 2018 The Apollo 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...
# Copyright (c) 2010-2022 openpyxl from openpyxl.styles.named_styles import NamedStyleList import pytest import datetime from io import BytesIO from lxml.etree import iterparse, fromstring from openpyxl.xml.constants import SHEET_MAIN_NS from openpyxl.utils.indexed_list import IndexedList from openpyxl.packaging.re...
from django import forms from .models import Profile, Project, Rating class ProjectForm(forms.ModelForm): class Meta: model = Project exclude = ['poster','postername', 'pub_date'] class RatingForm(forms.ModelForm): class Meta: model = Rating exclude = ['average','project','postername','pub_date'...
# Для заданих n та a обчислити суму s = 1 + 2²a + ... + n²aⁿ⁻¹ = ∑(i=1, n) i²aⁱ⁻¹. if __name__ == "__main__": n, a = map(int, input("n, a = ").split()) # ввід n, a s = sum(i ** 2 * a ** (i - 1) for i in range(1, n + 1)) # до s в циклі додаємо i²aⁱ⁻¹ від 1 до n print(f"\n{n = }, {a = }\n{s = }")
from rest_framework.serializers import ( ModelSerializer, HyperlinkedIdentityField, SerializerMethodField, ValidationError, ModelSerializer ) from accounts.api.serializers import UserDetailSerializer from django.contrib.contenttypes.models import ContentType from django.contrib.auth import get_...
# coding: utf-8 from __future__ import absolute_import, division, print_function, unicode_literals import pytest # NOQA from roundtrip import dedent, round_trip_dump, round_trip_load # http://yaml.org/type/int.html is where underscores in integers are defined class TestBinHexOct: def test_calculate(self): ...
# # PySNMP MIB module HPOV-SNMPSEC-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HPOV-SNMPSEC-MIB # Produced by pysmi-0.3.4 at Wed May 1 13:42:25 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar ...
"""Purify a 2-marginal by the unitary decomposition technique 0. Decompose tpdm into it's three components of the unitary group 1. set 2D(0) to be fixed by the trace 2. set 2D(1) to be fixed by a valid opdm contracted from the real one 3. reconstruct total tpdm 5. diagonalize and find exposed operators 6. decompose ex...
# :coding: utf-8 # :copyright: Copyright (c) 2013 Martin Pengelly-Phillips # :license: See LICENSE.txt. import os import pkgutil try: import json except ImportError: try: import simplejson as json except ImportError: raise ImportError('Could not import json or simplejson') import jsonschem...
from tests.unit.twiml import TwilioTest from twilio.twiml.messaging_response import MessagingResponse, Body, Media class TestResponse(TwilioTest): def test_empty_response(self): r = MessagingResponse() assert self.strip(r) == \ '<?xml version="1.0" encoding="UTF-8"?><Response />' ...
import boto3 # Retrieve the list of existing buckets s3 = boto3.client('s3') response = s3.list_buckets() # Output the bucket names print('Existing buckets:') for bucket in response['Buckets']: print(f' {bucket["Name"]}')
import funcy import functools import matplotlib import matplotlib.pyplot as plt import numpy as np import pandas as pd import seaborn as sns import shap from copy import deepcopy font = { "size": 30 } matplotlib.rc("font", **font) def plot_results_2x2(summaries, save_fpath, fformat="pdf", dpi=300): fig = plt...
# Configuration file for the Sphinx documentation builder. # # This file only contains a selection of the most common options. For a full # list see the documentation: # https://www.sphinx-doc.org/en/master/usage/configuration.html # -- Path setup -------------------------------------------------------------- # If exte...
# Copyright 2016 Splunk, Inc. # # 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,...
''' Reading input data. @author: anze.vavpetic@ijs.si ''' import rdflib import json import hashlib import os import _pickle as cPickle from .settings import logger, HEDWIG, GENERIC_NAMESPACE from .example import Example def rdf(paths, def_format='n3'): ''' Loads the ontology into an rdf gr...
from django.db import migrations def create_site(apps, schema_editor): Site = apps.get_model("sites", "Site") custom_domain = "tbh-bc-reports-34179.botics.co" site_params = { "name": "TBH BC Reports", } if custom_domain: site_params["domain"] = custom_domain Site.objects.upda...
from .finder.core import FinderFactory from .parser import DoxygenParserFactory from .renderer import DoxygenToRstRendererFactory from .renderer.base import RenderContext from .renderer.filter import FilterFactory from .renderer.target import TargetHandlerFactory from .renderer.mask import MaskFactory, NullMaskFactory...
import sys # Global Variable baseVarName = "globalVariable_SHYDNUTN_" # Variable Functions def var_name(x): name = "" if(x >= 0 and x < 10): name = baseVarName+"00"+str(x) elif(x >= 10 and x < 100): name = baseVarName+"0"+str(x) elif(x >= 100): name = baseVarName+str(x) return name def getNumberO...
STOP_MARKER_FILE = "storage-sync-shutdown-trigger"
import os import numpy as np import glob import cv2, json import argparse from sklearn.utils import shuffle from keras.optimizers import SGD, Adam from keras.models import Sequential from keras.layers import Dropout, Dense from keras.callbacks import EarlyStopping, ModelCheckpoint from keras.preprocessing import image ...
import discord import random from Utilities.Log import Log from Utilities.Time import Time from Utilities.Files import File from Utilities.ImageFormats import ImageFormats from Utilities.Functions import get_file_name, get_file_extension, is_url, is_string_formated, is_position from Componentes.Usuario import Usuario f...
import os import shutil import tempfile import contextlib import unittest import pytest import argparse import sys import torch import __main__ import random import inspect import functools from numbers import Number from torch._six import string_classes from collections import OrderedDict from torchvision import io ...
from segmentation_models_pytorch.base import (ClassificationHead, SegmentationHead, SegmentationModel) from segmentation_models_pytorch.base import initialization as init from segmentation_models_pytorch.encoders import get_enco...
def wrap_mystery(n):
# ------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # -------------------------------------------------------------------------- from typin...
# Copyright 2013 Cloudbase Solutions Srl # 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 r...
import os from utils import read_file_contents_list, convert_flat_2_3d, get_logger import nibabel as nib import numpy as np import pickle logger = get_logger('DataFolder') class DataFolder: def __init__(self, in_folder, data_file_list=None): self._in_folder = in_folder self._file_list = [] ...
def event(instance, **data): instance.handle(data)
#!/usr/bin/env python # coding: utf-8 # # 0. Computational and Inferential thinking # # 详见[Computational and Inferential thinking](https://inferentialthinking.com/chapters/intro.html)
#!/Users/zhiyang/anaconda3/bin/python3 ####!/usr/local/bin/python3 """ Skip nanosecond precision in measuring the current time; hence, I am not using the Python intepreter available at the following path, which is based on Python 3.7.4. /usr/local/bin/python3 """ ###!/Library/Frameworks/Python.framework/Vers...
#! /usr/bin/python import json import re def iter_get(client): """ return an iterator over all results from GETing the client and any subsequent pages. """ items = [] while items or client: if not items: resp = client.get() items = resp.json() if not isin...
#!/usr/bin/env python """Tests for the method of removing small hopping terms.""" import pytest @pytest.mark.parametrize("t1", [0.6 + 0.5j, 0.0 + 1j, 2]) @pytest.mark.parametrize("t2", [0.2j, 1.5]) @pytest.mark.parametrize("onsite", [(1.2, -0.6), (3.5, 2)]) @pytest.mark.parametrize("cutoff", [-1, 0.4, 1, 3, 10]) def...
# -*- coding: utf-8 -*- # # Copyright 2017-2021- Swiss Data Science Center (SDSC) # A partnership between École Polytechnique Fédérale de Lausanne (EPFL) and # Eidgenössische Technische Hochschule Zürich (ETHZ). # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in co...
""" All things to do with navigation. """
from data import Database, sentence from data import Sentence from data import Bots class Category(): def __init__(self, bot, data=None): if bot is not None: self.bot = bot._id self.sentences = [] self.sentence_ids = [] self.patterns = [] self.data = data ...
# # peepdf is a tool to analyse and modify PDF files # http://peepdf.eternal-todo.com # By Jose Miguel Esparza <jesparza AT eternal-todo.com> # # Copyright (C) 2011-2017 Jose Miguel Esparza # # This file is part of peepdf. # # peepdf is free software: you can redistribute it and/or modify # ...
import numpy as np import torch import torch.autograd as autograd import torch.nn.functional as F from typing import Optional, Union, Tuple, List from deeprob.torch.base import ProbabilisticModel from deeprob.torch.constraints import ScaleClipper from deeprob.spn.layers.dgcspn import SpatialGaussianLayer, SpatialProd...
import numpy as np from wzk import get_first_non_empty, fill_with_air_left, safe_add_small2big, initialize_image_array def create_rectangles(*, n, size_limits=(1, 10), n_voxels=(64, 64), special_dim=None): """ Create a series of randomly placed and randomly sized rectangles. The bot...
import unittest import math import numpy as np import pitch class TestGetFrqFromStr(unittest.TestCase): def test_getfrq_a4(self): self.assertEqual(440.0, pitch.getFrqFromStr("A4")) def test_getfrq_a5(self): self.assertEqual(880.0, pitch.getFrqFromStr("A5")) def test_get...
from django import forms from policies.models import Policy from groups.models import Group from django.contrib.auth.models import User from django.contrib.auth.forms import UserCreationForm class FileNameForm(forms.Form): file_name = forms.CharField(label='File name', max_length=200) class UploadFileForm(forms...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- # Left and right inversions in a table # christoph durr - 2016-2018 # snip{ def _merge_sort(tab, tmp, rank, left, right, lo, hi): if hi <= lo + 1: # interval is empty or singleton return # nothing to do mid = lo + (hi - lo) /...
# Create Target Array in the Given Order # Given two arrays of integers nums and index. Your task is to create target array under the following rules: # # Initially target array is empty. # From left to right read nums[i] and index[i], insert at index index[i] the value nums[i] in target array. # Repeat the previous st...
# -*- coding: utf-8 -*- # PLEASE DO NOT EDIT THIS FILE, IT IS GENERATED AND WILL BE OVERWRITTEN: # https://github.com/ccxt/ccxt/blob/master/CONTRIBUTING.md#how-to-contribute-code from ccxt.base.exchange import Exchange from ccxt.base.errors import ExchangeError from ccxt.base.errors import AuthenticationError from cc...
import boto3 import time import json import logging as log import cfnresponse log.getLogger().setLevel(log.INFO) physical_id = 'TheOnlyCustomResource' ec2 = boto3.resource('ec2', region_name='ca-central-1') client = boto3.client('ec2', region_name='ca-central-1') dynamodb = boto3.resource('dynamodb', region_name='ca...
import os import pendulum import pytest import sys import tempfile from datetime import datetime, timedelta from time import sleep, time from unittest.mock import MagicMock import prefect from prefect.client import Secret from prefect.core.edge import Edge from prefect.core.task import Task from prefect.engine import...
print('====== DESAFIO 48 ======') s = 0 for c in range(1, 501): value = c*3 if value % 2 == 0: print(c,'x 3 % 2 = PAR') else: print(c,'x 3 % 2 = IMPAR')
import numpy as np from ._points_utils import points_in_box def select(layer, event): """Select points. Clicking on a point will select that point. If holding shift while clicking that point will be added to or removed from the existing selection depending on whether it is selected or not. Clic...
# ClearML - Example of tensorboard with tensorflow (without any actual training) # import os from tempfile import gettempdir import tensorflow as tf import numpy as np from PIL import Image from clearml import Task # Connecting ClearML with the current process, # from here on everything is logged automatically task...
from chatterbot import ChatBot # Create a new instance of a ChatBot bot = ChatBot("Terminal", storage_adapter="chatterbot.adapters.storage.JsonDatabaseAdapter", logic_adapters=[ "chatterbot.adapters.logic.MathematicalEvaluation", "chatterbot.adapters.logic.TimeLogicAdapter", "chatterbo...
from cytoolz.dicttoolz import ( assoc, ) def construct_formatting_middleware(request_formatters=None, result_formatters=None, error_formatters=None): if request_formatters is None: request_formatters = {} if result_formatters ...
from djmodels.conf.urls import include, url from djmodels.contrib.flatpages.sitemaps import FlatPageSitemap from djmodels.contrib.sitemaps import views # special urls for flatpage test cases urlpatterns = [ url(r'^flatpages/sitemap\.xml$', views.sitemap, {'sitemaps': {'flatpages': FlatPageSitemap}}, ...
# encoding=utf-8 __all__ = [ "HttpMethod", "HttpVersion", "HttpStatus", "HttpHeader", "PopularHeaders", ] from enum import Enum from ahserver.util.parser import FieldNameEnumParser, IntPairEnumParser from . import httpheader as HttpHeader @FieldNameEnumParser("http_method") class HttpMethod(En...
# Marcelo Campos de Medeiros # ADS UNIFIP # REVISÃO DE PYTHON # AULA 09 GUSTAVO GUANABARA ''' Faça um programa leia oum número de 0 a 9999 e moste cada um dos digitos separados. ex: 1834 milhar:1; centena:8; dezena:3; unidade:4. ''' print('='*30) print('{:@^30}'.format(' STRAING DE NÚMEROS ')) print('='*30) print() ...
""" ASGI config for django_project_alexandrin project. It exposes the ASGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/3.2/howto/deployment/asgi/ """ import os from django.core.asgi import get_asgi_application os.environ.setdef...
from fastapi import Depends, FastAPI from fastapi.security import OAuth2PasswordBearer import os app = FastAPI() oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token") @app.get("/items/") async def read_items(token: str = Depends(oauth2_scheme)): return {"token": token} if __name__ == '__main__': print(f'I...
# Copyright 2019 Eli Lilly and Company # # 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 l...
import logging from typing import TYPE_CHECKING, List, Literal, Optional, Sequence from pysqlcipher3 import dbapi2 as sqlcipher from rotkehlchen.chain.ethereum.modules.eth2.structures import ( Eth2Deposit, Eth2Validator, ValidatorDailyStats, ) from rotkehlchen.constants import ONE, ZERO from rotkehlchen.c...
import requests from flask import Blueprint, render_template, request app_homepages = Blueprint('homepages', __name__, url_prefix='/homepages/', template_folder='templates/homepages', static_folder='static', static_...
n, m = map(int, input().split()) a = [list(map(int, input().split())) for _ in [0] * n] s = 0 for i in range(n): for j in range(m): t = [] for x, y in ((0, 1), (1, 0), (0, -1), (-1, 0)): i_ = i j_ = j if 0 > x or 0 > y: continue k = a...
import torch import torch.nn as nn from mmcv.cnn import normal_init from mmdet.core import multi_apply, multiclass_nms, multiclass_nms_sorting, distance2bbox, bbox2delta, bbox_overlaps from ..builder import build_loss from ..registry import HEADS from ..utils import bias_init_with_prob, Scale, ConvModule from IPython...
#!/usr/bin/env python3 # (C) Copyright 2020 ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its statu...
import json import webbrowser from os import path from logging import getLogger, INFO from tornado import web from tornado.web import StaticFileHandler from tornado.websocket import WebSocketHandler from tornado.ioloop import IOLoop from .io import JoystickStream from multiprocessing import Process getLogger(__name__)...
""" WSGI config for BeaverStacks project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/3.2/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdef...
r""" Definition ---------- This model is a trivial extension of the core_shell_sphere function where the core is filled with solvent and is surrounded by $N$ shells of material (such as lipids) interleaved with $N - 1$ layers of solvent. For $N = 1$, this returns the same as the vesicle model, except for the normalisa...
"""circles app""" # Django from django.apps import AppConfig class CirclesAppConfig(AppConfig): """circles App Config""" name = 'cride.circles' verbose_name = 'circles'
from enum import IntEnum, auto from typing import Iterator, Tuple from executor import env class DatasetType(IntEnum): UNKNOWN = auto() TRAINING = auto() VALIDATION = auto() CANDIDATE = auto() def _index_file_for_dataset_type(env_config: env.EnvConfig, dataset_type: DatasetType) -> str: mapping...
from o3seespy.base_model import OpenSeesObject class BeamIntegrationBase(OpenSeesObject): op_base_type = "beamIntegration" class Lobatto(BeamIntegrationBase): """ The Lobatto BeamIntegration Class Create a Gauss-Lobatto beamIntegration object.Gauss-Lobatto integration is the most common approac...
# coding: utf-8 """ Argo Python client for Argo Workflows # noqa: E501 OpenAPI spec version: release-2.8 Generated by: https://github.com/swagger-api/swagger-codegen.git """ import pprint import re # noqa: F401 import six class V1ConfigMapEnvSource(object): """NOTE: This class is auto...
from dataclasses import dataclass from logging import Logger, getLogger from typing import Dict, Union import numpy as np import pandas as pd from fseval.types import IncompatibilityError, TerminalColor from omegaconf import MISSING from .._experiment import Experiment from ._config import RankAndValidatePipeline @...
# -*- coding: utf-8 -*- # # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the #...
# -*- coding: utf-8 -*- import numpy as np import pandas as pd import pandas.util.testing as tm import pytest from pandas import Int64Index, MultiIndex, PeriodIndex, UInt64Index from pandas._libs.tslib import iNaT from pandas.core.indexes.datetimelike import DatetimeIndexOpsMixin def test_fillna(idx): # GH 11343...
import numpy as np import numba as nb @nb.jit(nopython=True, parallel=True, fastmath=True) def kernel(alpha, beta, C, A, B): temp2 = np.empty((C.shape[1], ), dtype=C.dtype) C *= beta for i in range(C.shape[0]): for j in nb.prange(C.shape[1]): C[:i, j] += alpha * B[i, j] * A[i, :i] ...