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# Generated by update_generated.py
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"""Tests for parsing sub-module."""
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from pathlib import Path import sys
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import site site.addsitedir("./")
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from .qap import quadratic_assignment
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from data.hcm_all import Dataloader2D
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from .voc import VOC __all__ = ['VOC']
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from .circos import CircosConnectivity
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from .ade import ADE __all__ = ['ADE']
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from .dataset import ViscosityDataset
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from .pgm_explainer import PGMExplainer
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import matplotlib matplotlib.use("agg")
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"""Init for CLI of phys2bids package."""
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__all__ = ["bruker2nii", "bruker2nii_scan"]
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from pathlib import Path DATA_DIR = '/home/'
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"""Tests for segmentFiltering sub-module."""
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from .commandline import __main__ __main__()
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"""Tests for the CARLA Alpamayo integration."""
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from .camvid import CamVid __all__ = ['CamVid']
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from .pymaid import catmaid_args, start_instance
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# Copyright (c) Open-MMLab. All rights reserved.
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from graphxai.utils.explanation import Explanation
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from polychrom.polymerutils import * # noqa: F403
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from .u2net import U2NET from .u2net import U2NETP
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from visualize import * from config.config import *
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from .ode import ODEModel from .pde import PDEModel
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from .explanation import visualize_edge_explanation
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from .a2c_acktr import A2C_ACKTR from .ppo import PPO
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from .models2 import ModelBuilder, SegmentationModule
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import logging LOGGER = logging.getLogger(__name__)
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"""Test suite for the fi_parliament_tools package."""
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from .converters import tree2meshneuron __all__ = []
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from neuralop.utils import wandb_login wandb_login()
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__all__ = ['FdtdRl'] from src.FdtdRl import FdtdRl
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from .wrapped_deeper_deepsea import WrappedDeeperDeepSEA
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import sys from .launcher import main sys.exit(main())
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from .diffusion_models import * from .traj_tools import *
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import os os.system('pip install --upgrade --editable .')
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"""RACCOON Version information.""" __version__ = "0.5.1"
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from tensorflow_forward_ad.fwgrad import forward_gradients
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from .cityscapes import Cityscapes __all__ = ['Cityscapes']
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from pathlib import Path this_path = Path(__file__).parent
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from . import logger, model, parameters, trainer # noqa F408
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"""Utilities for working with entity embeddings (vectors)."""
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# Load subpackages in current namespace from . import detector
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from .text_mel_dataset import TextMelDataset, text_mel_collate
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from pathlib import Path CONF_DIR_PATH = Path(__file__).parent
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from .pareto import * from .optim import * from .gcmol import *
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from .normal import Normal from .multinomial import Multinomial
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from .pcontext import PascalContext __all__ = ['PascalContext']
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from pathlib import Path RESOURCES = Path("./tests/resources/")
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# Load subpackages in current namespace from . import generation
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from .utils import Transform3D from .utils import model_to_syncbn
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""" __init__.py Created by: Martin Sicho On: 29.05.22, 18:09 """
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from itertools import groupby from operator import itemgetter
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""" __init__.py Created by: Martin Sicho On: 21.04.22, 21:25 """
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"""Long string definitions and data files required in testing."""
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""" __init__.py Created by: Martin Sicho On: 06.06.22, 20:00 """
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""" __init__.py Created by: Martin Sicho On: 31.05.22, 10:20 """
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from M2TR.utils.env import setup_environment setup_environment()
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from . import choicemodel, data, eval, nnet, plotting # noqa F408
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""" __init__.py Created by: Martin Sicho On: 06.04.22, 16:53 """
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""" __init__.py Created by: Martin Sicho On: 07.05.22, 15:53 """
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START_OF_SEQUENCE = 'sos' END_OF_SEQUENCE = 'eos' PADDING = 'pad'
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from .fitting import * from .piv import * from .run_model import *
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from cropro.cli import main if __name__ == "__main__": main()
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# Local from .neuron_models import * from .receptor_models import *
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# from .tf_pb import * # from .predict import * # from .vgg import *
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import sys; print sys.prefix + "/include/python" + sys.version[:3]
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from .SVGrouper import SVGrouper from .SVAnnotator import SVAnnotator
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from .base import graph_exp_acc, graph_exp_faith, graph_exp_stability
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# Copyright (c) Open-MMLab. All rights reserved. __version__ = '1.0.4'
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from __future__ import print_function from __future__ import division
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#!/usr/bin/env python """ nipype interfaces and workflows for QUIT. """
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from .base import DatabaseBase, ALL, load_fids, load_mat, drive_mounted
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from .gain import accuracy_gain from .models import multi_layer_polar_plot
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from importlib.metadata import version __version__ = version("cxsystem2")
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from .maggot_graph import MaggotGraph from .utils import to_pandas_edgelist
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from .models import * from .motion import * from .motion_vectorized import *
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""" about Created by: Martin Sicho On: 24.06.22, 10:36 """ VERSION = "3.2.0"
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"""# Variables""" # SCSCSC nodes = 3 nx, ny = 50, 50 dx, dy, dt = 0.5, 0.5, 0.05
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bind = "0.0.0.0:5001" workers = 4 threads = 4 timeout = 120 loglevel = "critical"
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from .gpt2smiles import * from .vanilla import * from .gpt2graph import GraphModel
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from utime._defaults import _Defaults as Defaults from .version import __version__
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from .perturb import rewire_edges, perturb_node_features, PGM_perturb_node_features
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from .nsgaii import * from .metric import * from .optim import * from .gcmol import *
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from .symbolic import register_extra_symbolics __all__ = ['register_extra_symbolics']
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from .utils import * from .make_balanced_train import * from .make_screen_data import *
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# -*- coding: utf-8 -*- """ Created on Mon Sep 14 21:01:55 2020 @author: rjovelin """
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""" Guide 02 ========================= What happens if you already had a pipeline? """
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"""Modules for querying and parsing transcript XMLs from the parliament open data API."""
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r""" cgtasknet is a library for training spiking neural networks with cognitive tasks """
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from .ranger import Ranger from .ranger913A import RangerVA from .rangerqh import RangerQH
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from .version import __version__, short_version __all__ = ['__version__', 'short_version']
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from .base import BaseNetwork from .efficientnet import EfficientNet from .m2tr import M2TR
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from .data_parallel import UserScatteredDataParallel, user_scattered_collate, async_copy_to
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from oaklib.implementations.ubergraph.ubergraph_implementation import UbergraphImplementation
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def sample_data(loader): while True: for batch in loader: yield batch
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from slideflow.util import tfrecord2idx from slideflow.util.tfrecord2idx import create_index
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from .dataset import Dataset, TensorDataset, ConcatDataset from .dataloader import DataLoader