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import torch.optim as opt OPTIMIZER_REGISTRY = {"adam": opt.Adam, "sgd": opt.SGD}
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""" This module contains Spitfire's core functionality for chemistry problems. """
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Python
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"""GluonCV Model Zoo""" # pylint: disable=wildcard-import from ..resnetv1b import *
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Python
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from style_ion import simulate if __name__ == "__main__": simulate("read_cai")
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Python
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from ._wormneuronsegmentation_py import * from ._wormneuronsegmentation_c import *
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Python
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"""R-CNN Estimator implementations""" from .faster_rcnn import FasterRCNNEstimator
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Python
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from .gp_models import Approx_GPModel, Exact_GPModel from .gp_train import gp_train
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from style_ion import simulate if __name__ == "__main__": simulate("read_cao")
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import sys import os print("Importing main...") import main print("Main imported.")
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from PysamTestModule_link_pre_489.BuildRead import build_read all = ["build_read"]
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from cvnn import cli import sys import logging from pdb import set_trace cli.cli()
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Python
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"""Mask R-CNN Estimator implementations""" from .mask_rcnn import MaskRCNNEstimator
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from style_ion import simulate if __name__ == "__main__": simulate("write_cai")
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# -*- coding: utf-8 -*- """ Created on Tue Dec 21 23:36:38 2021 @author: adrie """
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Python
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from style_ion import simulate if __name__ == "__main__": simulate("write_cao")
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from _plotly_utils.files import PLOTLY_DIR, ensure_writable_plotly_dir # noqa: F401
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from .data import * from .test import * from .scan import * from .thumbnails import *
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"""This is Wyrm. Some words describing the Wyrm package. """ __version__ = '1.1.0'
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from .conf_generator import ConfGenerator from .mol_standardizer import MolStandardizer
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from .data_utils import preprocess, make_graph from .graph import construct_gene_graph
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from __future__ import print_function, division, absolute_import __version__ = '0.7.4'
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from PysamTestModule_link_with_rpath.BuildRead import build_read all = ["build_read"]
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# flake8: noqa from . import SyntheticDataset, oscope_tf, qvalue, SyntheticPlotResults
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import lack logger_manager = lack.LoggerManager("spaco2", "spaco2-temp-timer-logger")
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from .mol_converter import MolConverter from .similarity_search import SimilaritySearch
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from .environment_types import EnvironmentTypes from .moieties import get_topk_moieties
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from celery import task @task() def hello_world(to='world'): return f'Hello {to}'
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from scDGD.classes.data import scDataset from scDGD.classes.prior import GaussianMixture
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from __future__ import absolute_import from .resnet import resnet18, resnet34, resnet50
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from scDGD.functions.data import prepate_data from scDGD.functions.train import dgd_train
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__version_vector__ = (3, 6, 6) __version__ = '.'.join(str(x) for x in __version_vector__)
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import dec print 'Preparing mnist data. This could take a while...' dec.make_mnist_data()
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from PysamTestModule_link_without_rpath.BuildRead import build_read all = ["build_read"]
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from ._model import MERFISHVI, SpatialVI __all__ = [ "SpatialVI", "MERFISHVI", ]
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# Author: Aqeel Anwar(ICSRL) # Created: 7/30/2020, 7:43 AM # Email: aqeel.anwar@gatech.edu
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from .conf_ensemble_dataset import ConfEnsembleDataset from .pyg_dataset import PyGDataset
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from .data import * from .measures import * from .tools import * from .transforms import *
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class PBFException(Exception): pass class PBFNotImplemented(PBFException): pass
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from flask import Flask app = Flask(__name__) from js_example import views # noqa: F401
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__version_vector__ = (3, 6, 7) __version__ = '.'.join(str(x) for x in __version_vector__)
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__version__ = '1.6.3' from .Utils import * from .Evaluation import * from .Model import *
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""" Unit tests for ethoscope_node. Unit tests test individual components in isolation. """
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USE_GT = False USE_IMAGES = True print(f'USE_GT: {USE_GT}') print(f'Images: {USE_IMAGES}')
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from .core import Domain, InternalDomain, IrreversibleDomain, ComposedDomain, KeyValueDomain
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from .tools import clustering from .tools.microenv import cci from .tools.label import label
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from .Indoor3DSemSegLoader import Indoor3DSemSeg from .ModelNet40Loader import ModelNet40Cls
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from . import interpolation_nn from .deep_interpolation import DataSampler, DeepInterpolation
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import dec print 'Preparing reuters data. This could take a while...' dec.make_reuters_data()
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def appendtofile(filename, text): f = open(filename, "a+") f.write(text) f.close()
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from .conf_ensemble import ConfEnsemble from .conf_ensemble_library import ConfEnsembleLibrary
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"""Worker implementation.""" from .worker import WorkController __all__ = ('WorkController',)
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demonstrator = { 'net': 7, 'ipair': 0, 'istim': 1, 'isi': 500, 'templ': 0 }
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#!/usr/bin/env python3 # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
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from tfep.analysis.bootstrap import bootstrap from tfep.analysis.estimator import fep_estimator
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from ._datasets._datasets import visium_sge, xenium_sge __all__ = ["visium_sge", "xenium_sge"]
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'''Distributed computation package This package is a part of BdPy. ''' from .distcomp import *
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__author__ = 'quentin' from . import input from . import interfaces from .input import cameras
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""" .. include:: ../README.md """ from __future__ import annotations __all__ = ['froc', 'count']
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import sys sys.path.append("src") from model.SLD import TDNODE model_dict = {"TDNODE": TDNODE}
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from .kmeans import kmeans from .louvain import louvain from .annotate import annotate_interactive
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# pylint: disable=missing-module-docstring from .kitti_dataset import * from .kitti_utils import *
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from setuptools import find_packages, setup setup( name="src", packages=find_packages(), )
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"""Image classification estimator""" from .image_classification import ImageClassificationEstimator
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""" This module is modified from StyleGAN2-ada (https://github.com/NVlabs/stylegan2-ada-pytorch)"""
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"""GluonCV-Torch.""" from . import data from . import model_zoo from . import nn from . import utils
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""" Tensorflow loss functions that accept masked true values (with np.nan) """ from .losses import *
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from .external import lack logger_manager = lack.LoggerManager("spateo", "spateo-temp-timer-logger")
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from pyrosm.data import get_data, get_path # drop get_path in the future from pyrosm.pyrosm import OSM
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from setuptools import find_packages, setup setup( name="stack", packages=find_packages(), )
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""" Test fixtures for ethoscope_node. This module contains reusable test fixtures and utilities. """
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from task_app import create_app flask_app = create_app() celery_app = flask_app.extensions["celery"]
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from django.db import models class Widget(models.Model): name = models.CharField(max_length=140)
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from style_ion import simulate if __name__ == "__main__": simulate("write_eca", lambda _: 1124.0)
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from setuptools import find_packages, setup setup(name='src', packages=find_packages(), )
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"""Quantized versions of GluonCV models.""" # pylint: disable=wildcard-import from .quantized import *
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from __future__ import print_function, division, absolute_import from .voc import Voc2007Classification
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__author__ = "quentin" from . import actions, channel_maps, composed_stimulator, stimulators, triggers
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from celery import Celery app = Celery( 'myapp', broker='redis://', backend='redis://', )
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"""Dynamics layers for continuous normalizing flows.""" from tfep.nn.dynamics.egnn import EGNNDynamics
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from flask import Flask app = Flask(__name__) @app.route("/") def hello(): return "Hello World!"
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from .accumulators import GradientAccumulateOptimizer from .accumulators import GradientAccumulateModel
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from .resnet import * from .kell2018 import * from . import custom_modules from .spectemp_filts import *
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__version__ = "0.2.0" from .colorization import colorize, colorize_mutiple_runs, colorize_mutiple_slices
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from angorapy.tasks.envs.dexterity.mujoco_model.externals.objects import Block __all__ = [ 'Block', ]
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from sys import argv from msp import MSP msp = MSP() msp.file = __file__ msp.seed = int(argv[1]) msp.run()
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from .atomistic_nn import AtomisticNN from .schnet import AtomicSchNet from .dimenet_pp import AtomicDimeNet
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# -*- coding: utf-8 -*- # @Author : Yue Liu # @Email : yueliu19990731@163.com # @Time : 2022/9/21 0:29
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""" Functional tests for ethoscope_node. Functional tests test end-to-end workflows and user scenarios. """
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import pytest class SecurityCase: def setup_method(self): pytest.importorskip('cryptography')
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from pathlib import Path DEFAULT_PROMPTSOURCE_CACHE_HOME = str(Path("~/.cache/promptsource").expanduser())
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from celery.beat import Scheduler class mScheduler(Scheduler): def tick(self): raise Exception
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"""Spatialtemporal modeling of spatial transcriptomics """ from .interactive import * from .static import *
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from __future__ import annotations from .cli_froc_analysis import run if __name__ == '__main__': run()
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""" Test package for ethoscope_node. This package contains all tests for the node package functionality. """
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Python
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__author__ = 'quentin' from . import io from . import img_proc from . import debug from . import description
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from .electronic_states import electronic_states from .orbitals import IRREPS_ORBITALS, NUM_ORBITALS, ORBITALS
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from .pycaffe import Net, SGDSolver from .classifier import Classifier from .detector import Detector import io
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print('import IPython.display; from bisweb_viewer import Viewer; v=Viewer(9001); eval(await v.createViewer())')
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"""Alpha pose for real time human pose estimation""" # pylint: disable=wildcard-import from .fast_pose import *
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# read version from installed package from importlib.metadata import version __version__ = version("organage")