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Python
68
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from sleepy.processing.algorithms.massimi.massimi import Massimi
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Python
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from .gspherenet import G_SphereNet __all__ = [ 'G_SphereNet' ]
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Python
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from .tensorboard import * from .remote import * from .data import *
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Python
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from .eval import ThreeDEvaluator __all__ = [ 'ThreeDEvaluator' ]
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RESULT_PATH = "PATH/TO/STORE/RESULTS" DATASET_PATH = "PATH/TO/DATASET"
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from sleepy.processing.filters.bandpass.core import BandPassFilter
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from .identical_murcko_scaffold_rnd import IdenticalMurckoScaffoldRND
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from .G_SphereNet import G_SphereNet __all__ = [ 'G_SphereNet' ]
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__submodules__ = [] # <AUTOGEN_INIT> __all__ = [] # </AUTOGEN_INIT>
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Python
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"""Reusable NiceGUI widgets for the standalone DANDI demonstration."""
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from .common import * from .tensorboard import * from .remote import *
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Python
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import setuptools if __name__ == "__main__": setuptools.setup()
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from .objhandler import ObjHandler from .objparser import WavefrontOBJ
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Python
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"""Read and write SanPy recordings and analysis state in NWB files."""
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from .lmdb_dataset_tools import AseDBDataset __all__ = ["AseDBDataset"]
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from collections import namedtuple APCount = namedtuple("APCount", "n")
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Python
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"""NiceGUI application support for the standalone DANDI demonstration."""
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Python
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from geomstats._mesh import Surface from ._varifold import VarifoldMetric
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Python
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from .network import Network, load from . import nodes, topology, monitors
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Python
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import experiment as exp class EmptyExperiment(exp.Experiment): pass
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Python
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# Copyright (C) 2024 Intel Corporation # SPDX-License-Identifier: Apache-2.0
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Python
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from .imgHandling import * from .patFun import * from .rawDataClass import *
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Python
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import os SLEEPY_ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
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from sleepy.processing.algorithms.percentile.percentile import Percentile
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Python
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# Copyright 2020-2024 Intel Corporation # SPDX-License-Identifier: Apache-2.0
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Python
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"""Focused tests for the standalone DANDI NWB streaming proof of concept."""
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Python
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from .reward_generator import RewardGenModel from .classifier import GIN, GCN
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Python
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from src.models.ecg_resnet import * from src.models.wrapper import ModelWrapper
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__version_info__ = (0,2,3) __version__ = ".".join(map(str, __version_info__))
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Python
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from reinvent.models.linkinvent.networks.encoder_decoder import EncoderDecoder
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"""Focused tests for standalone SanPy NWB and local-Dandiset export scripts."""
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number_ind_1 = dict() number_ind_1['indiv'] = 81 number_ind_1['morfo_n'] = 1
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from sleepy.processing.algorithms.RandomForest.RandomForest import RandomForest
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number_ind_1 = dict() number_ind_1['indiv'] = 138 number_ind_1['morfo_n'] = 1
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# Copyright (C) 2020-2025 Intel Corporation # SPDX-License-Identifier: Apache-2.0
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# flake8: noqa __submodules__ = [] # <AUTOGEN_INIT> __all__ = [] # </AUTOGEN_INIT>
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from .geometric_computing import xyz_to_dat __all__ = [ 'xyz_to_dat' ]
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from .graphflow import * from .graphflow_con_rl import * from .graphflow_rl import *
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TEST_DATA_DIRECTORY = "/home/zhangyu2/projects/toolkits/bam-readcount/repo/test-data"
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from . import GraphAug from . import SMixup __all__ = [ 'GraphAug', 'SMixup' ]
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from reinvent.models.linkinvent.model_vocabulary.model_vocabulary import ModelVocabulary
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from django.apps import AppConfig class TcgalistConfig(AppConfig): name = 'tcgalist'
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from reinvent.models.transformer.core.vocabulary import Vocabulary __all__ = [Vocabulary]
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"""Data loading and preprocessing.""" from .loaders import * from .preprocessing import *
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from .regex import * from .chem import * from .elements import * from .deduplicate import *
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from .pyqt5 import _BackendPyQt5 try: from .vispy import _BackendVispy except: pass
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from django.apps import AppConfig class labellingConfig(AppConfig): name = 'labelling'
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from django.apps import AppConfig class imagelistConfig(AppConfig): name = 'imagelist'
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__version__ = '0.2.1' __author__ = 'Cobrawap authors and contributors <contact@cobrawap.org>'
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ISNet=''#ISNet code folder TrainedPath=''#Where to save DNNs source=''#MNIST dataset location
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__version__ = '0.2.3' __author__ = 'Cobrawap authors and contributors <contact@cobrawap.org>'
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from .pc_layer import PCLayer from .pc_trainer import PCTrainer from .utils import NoneModule
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from .reg_trainer import RegTrainer, eval_reg __all__ = [ "RegTrainer", "eval_reg", ]
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from .get_bin import * from .bin_extension import * from .get_amr import * __version__ = '0.1.1'
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from .tensorboard import * from .csv_summmary import * from .remote import * from .data import *
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__version__ = '0.1.0' __author__ = 'Cobrawap authors and contributors <robin.gutzen@outlook.com>'
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__version__ = '0.2.0' __author__ = 'Cobrawap authors and contributors <robin.gutzen@outlook.com>'
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from .assr import ASSR from .wn import WhiteNoise from .tone import Tone from .sound import Sound
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# Copyright 2020-2024 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """CA package."""
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from .ggraph3D_dataset import QM93DGEN, collate_fn __all__ = [ "QM93DGEN", "collate_fn" ]
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import os __version__ = '0.0.2' debug = False ROOT_DIR = os.path.abspath(os.path.dirname(__file__))
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from .version import version as __version__ from .core import get_activation, predict, process_file
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import os __version__ = '1.0.0' debug = False ROOT_DIR = os.path.abspath(os.path.dirname(__file__))
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from .cli import main # call the CLI handler when the module is executed as `python -m crepe` main()
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import os from .__version__ import __version__ os.environ["TORCH_FORCE_NO_WEIGHTS_ONLY_LOAD"] = "1"
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# Copyright (C) 2020-2023 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """Tests package."""
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from .infonce import NCE_loss from .jse import JSE_loss __all__ = [ "NCE_loss", "JSE_loss", ]
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from .molecule3d import Molecule3D, Molecule3DProps __all__ = [ 'Molecule3D', ] classes = __all__
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from geomstats.test.conf import ( pytest_collection_modifyitems, pytest_make_parametrize_id, )
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from .dimenetpp import DimeNetPP from .features import dist_emb, angle_emb __all__ = [ 'DimeNetPP' ]
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"""Specifies current version of nltools to be used by setup.py and __init__.py """ __version__ = "0.4.7"
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from .encoders import Encoder from .seed import setup_seed __all__ = [ "Encoder", "setup_seed" ]
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# Copyright 2020-2024 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """Optimizers package."""
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""" FileName: __init__.py.py Description: Time: 2021/4/5 15:24 Project: DIG Author: Shurui Gui """
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#from sleepy.io.matfiles.dataset import MatDataSet #from sleepy.io.matfiles.loader import MatFileLoader
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from unittest import TestCase import matplotlib.pyplot as plt import numpy as np def test_init(): pass
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# Copyright (C) 2020-2023 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """tests.openfl package."""
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# Copyright 2020-2024 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """openfl.protocols module."""
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from tests.models.integration_tests.mol2mol.dataset_tests.test_paireddataset import ( TestPairedDataset, )
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#!/usr/bin/env python """ ModelAngelo - Automated Cryo-EM model building toolkit """ __version__ = "1.0.18"
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# Copyright 2020-2024 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """openfl.interface package."""
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import logging _logger_name = "hnn_gui" logger = logging.getLogger(_logger_name) logger.setLevel(logging.INFO)
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"""Analyze outcomes of model estimates.""" from .analyzers import * from . import addon from . import postproc
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from typing import Any import jax Array = Any @jax.jit def linear_activation(x: Array) -> Array: return x
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# Copyright (C) 2020-2021 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """openfl-workspace package."""
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from .unet_2d import unet_2d from .att_unet_2d import att_unet_2d from .discriminator_2d import discriminator_2d
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from pynidaqmxegs import do from pynidaqmxegs import ao from pynidaqmxegs import ai from pynidaqmxegs import mixed
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from PymoNNto.Exploration.Network_UI.Network_UI import * from PymoNNto.Exploration.Network_UI.Basic_Tabs import *
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# Copyright (C) 2020-2023 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """Transport tests package."""
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from . import rpn_head from . import embedding_rpn_head from .rpn_head import * from .embedding_rpn_head import *
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# pylint: disable=R0903 class UserProperty(property): """Simple wrapper around property for typing purposes"""
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# Copyright 2020-2024 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """openfl.cryptography package."""
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# Copyright 2020-2024 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """openfl experimental package."""
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from .transform import TransformPred3D, TransformGT3D, TransformRDKit3D from .train_eval import Mol3DTrainer, eval3d
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from .metric import RandGenEvaluator, PropOptEvaluator __all__ = [ 'RandGenEvaluator', 'PropOptEvaluator' ]
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# SPDX-FileCopyrightText: 2022-present Chatipat Lorpaiboon <chatipat@uchicago.edu> # # SPDX-License-Identifier: MIT
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from django.conf.urls import url from . import views urlpatterns = [ url(r'^$', views.result, name='result'), ]
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# from models.actions import SampleModel, Action, TrainModel, CollectStatsFromModel, \ # CalculateNLLsFromModel
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## Wrapper for mace.cli.run_train.main ## from mace.cli.run_train import main if __name__ == "__main__": main()
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# This file is a part of the `nequip` package. Please see LICENSE and README at the root for information on using it.