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# Copyright 2020 Huawei Technologies Co., Ltd # # 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...
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import json import os import numpy as np import PIL.Image from backend import root_detection from backend import root_tracking class FakeSettings: use_gpu = False exmask_enabled = False def __init__(self): self.active_models = {'detection': 'model-a', 'exclusion_mask': 'mask-a'} def test_soft...
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import numpy as np from torch.utils.data import Dataset from util.pointnet_utils import normalize_points_np, random_sample_points_np from util.augmentation import rotate_point_cloud, jitter_point_cloud def load_data(data_root, partition='train'): npz = np.load(data_root, allow_pickle=True) if partition == '...
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''' Setup for cilia geometry ''' import os import numpy as np import mesh shapes_data_path = os.path.dirname(__file__) + '/shapes_data' data_key = 'machemer' num_phases = 20 dphi = 2 * np.pi / num_phases # Phyiscal values beat_period = 31.25 # ms; 32 Hz beat_freq = 2 * np.pi / beat_period beat_time_step = beat_perio...
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# Copyright 2021 DeepMind Technologies Limited # # 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 agr...
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from typing import NamedTuple, Optional, Tuple import numpy as np from cgtasknet.tasks.reduce.reduce_task import ( _generate_random_intervals, ReduceTaskCognitive, ReduceTaskParameters, ) class DMTaskParameters(NamedTuple): dt: float = ReduceTaskParameters().dt trial_time: float = 0.75 answe...
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import os from os.path import join import collections import numpy as np import pandas as pd import matplotlib.pyplot as plt from itertools import chain from sklearn.model_selection import train_test_split from sklearn.impute import SimpleImputer, MissingIndicator from sklearn.pipeline import make_union, Pipeline from...
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import numpy as np from scipy.integrate import solve_ivp def define_solve_cycle(right_side_of_ODE, t_max, phi_global_func, backwards=False): ''' 2019-09-19: only absolute tolerance parameter ncycle - solve n cycles raise an error if end_event wasn't triggered Create a functi...
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import os import collections from os.path import join import numpy as np import pandas as pd from itertools import chain from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestRegressor from sklearn.model_selection import ShuffleSplit, GridSearchCV from sklearn.metrics import (me...
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# -*- coding: utf-8 -*- """ Spyder Editor. """ from neuron import h import matplotlib.pyplot as plt import numpy as np import pandas as pd from synaptic_metrics import synaptic_metrics from cell_models import CCKCell from opt import myinit, mystyle import pickle, os # Make plots nicer! plt.style.use("seaborn-colorb...
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# Copyright 2021-2022 Huawei Technologies Co., Ltd # # 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 agre...
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from __future__ import absolute_import from __future__ import division from __future__ import print_function import numpy as np from skimage.measure import compare_ssim import torch from torch.autograd import Variable from lpips import dist_model class PerceptualLoss(torch.nn.Module): def __init__(self, model='...
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"""Functions for running full pipelines via the config API. See the documentation for :mod:`osl_dynamics.config_api` for example usage. """ import argparse import logging import pprint from pathlib import Path from typing import Callable, List, Optional, Union import numpy as np import yaml from osl_dynamics.config...
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# coding=utf-8 # Copyright 2020 The Google Research 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 applicab...
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import numpy as np import torch from monai.networks.layers.factories import Act, Conv, Norm, Pool from torch import nn class HardParameterSharingModel(nn.Module): def __init__( self, agents, state_size, conv_filters=[32, 32, 64, 64], conv_strides=[2, 2, 2, 2], conv_...
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# Copyright 2021 Huawei Technologies Co., Ltd # # 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...
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# Copyright 2020-2021 Huawei Technologies Co., Ltd # # 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 agre...
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import sys import pickle import pandas as pd import numpy as np import csv import utils.general_utils as general_utils import utils.plot_utils as plot_utils # import utils.plot_setting as plot_setting # import utils.math_utils as math_utils # import utils.sync_utils as sync_utils def sorting_roiID_corresponding...
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import numpy as np from utils import get_fullpath, Config from utils.dataloaders import FolderLoader, CSVLoader, PickleLoader, StatementsLoader import pickle class ArticlesProvider: def __init__(self, config: Config): """ :param config: config dictionary :type config: dict """ ...
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import os import collections from os.path import join import numpy as np import pandas as pd from itertools import chain from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestRegressor from sklearn.model_selection import ShuffleSplit, GridSearchCV from sklearn.metrics import (me...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Dec 15 12:00:15 2021. @author: spiros """ import os import pickle from neuron import h import numpy as np import pandas as pd import matplotlib.pyplot as plt from synaptic_metrics import synaptic_metrics from cell_models import VIPCCKCell from opt imp...
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# Copyright (c) 2016, Konstantinos Kamnitsas # All rights reserved. # # This program is free software; you can redistribute it and/or modify # it under the terms of the BSD license. See the accompanying LICENSE file # or read the terms at https://opensource.org/licenses/BSD-3-Clause. from __future__ import absolute_im...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Dec 15 12:00:15 2021. @author: spiros """ import os import pickle from neuron import h import numpy as np import pandas as pd import matplotlib.pyplot as plt from synaptic_metrics import synaptic_metrics from cell_models import VIPCCKCell from opt imp...
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""" File: main.py Created: 2020/06/29 Last Changed: 2021/08/04 Author: M.Vochteloo Copyright (C) 2020 M.Vochteloo This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 ...
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""" Utils for downloading dataset files from the web. Mostly borrowed from torchvision.datasets.utils """ import hashlib import logging import os from pathlib import Path import requests import sys from typing import Any, Optional, Union, List import tarfile logger = logging.Logger(name=__name__) logger.setLevel(log...
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"""Persistent, privacy-conscious diagnostics for local RootDetector runs.""" import datetime import io import json import logging import logging.handlers import os import platform import sys import traceback import zipfile from base.backend.paths import get_instance_path LOGGER_NAME = 'rootdetector' LOG_FOLDER_NAME...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Dec 15 12:00:15 2021. @author: spiros """ import os import pickle from neuron import h import numpy as np import pandas as pd import matplotlib.pyplot as plt from synaptic_metrics import synaptic_metrics from cell_models import VIPCRCell from opt impo...
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# Built-in import os import pickle import shutil import zlib from pathlib import Path # Third-party import brian2 as b2 import brian2.units as b2u import numpy as np import pytest from scipy.stats import wasserstein_distance # Local from cxsystem2.core import cxsystem as cx pytest.skip(reason="Speed, compiling takes...
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# Copyright 2022 Huawei Technologies Co., Ltd # # 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...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Dec 15 12:00:15 2021. @author: spiros """ import os import pickle from neuron import h import numpy as np import pandas as pd import matplotlib.pyplot as plt from synaptic_metrics import synaptic_metrics from cell_models import VIPCRCell from opt impo...
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import torch from torch import nn from .conv_ws import ConvAWS2d from .registry import CONV_LAYERS import torch.nn.functional as F from torch.distributions import Categorical from torch.autograd import Variable #class Flatten(nn.Module): # def forward(self, x): # return x.view(x.size(0), -1) # @CONV_LAYE...
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# Copyright 2021 Huawei Technologies Co., Ltd # # 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...
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""" Registration tools """ import numpy as np import nibabel as nib from dipy.align.imwarp import DiffeomorphicMap from dipy.align import syn_registration import dipy.core.gradients as dpg from dipy.align.streamlinear import whole_brain_slr __all__ = ["syn_register_dwi", "write_mapping", "read_mapping", ...
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# Copyright 2022 Huawei Technologies Co., Ltd # # 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...
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__author__ = "Jianfeng Sun" __version__ = "v1.0" __copyright__ = "Copyright 2023" __license__ = "GPL v3.0" __email__ = "jianfeng.sunmt@gmail.com" __maintainer__ = "Jianfeng Sun" import xml.etree.ElementTree as ET from functools import wraps class Component: def __init__(self, *args, **kwargs): self.args ...
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import os, sys currentdir = os.path.dirname(os.path.realpath(__file__)) parentdir = os.path.dirname(currentdir) sys.path.append(parentdir) # PYTHON > 3.3 does not allow relative referencing import h5py import numpy as np import zipfile import re import dicom2nifti as d2n import nibabel as nib from ddmr.utils.nifti_ut...
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""" A simple Darcy-Flow spectrum analysis ===================================== Using ``neuralop.utils.spectrum_2d`` to perform spectrum analysis on our small Darcy-Flow example. This tutorial demonstrates how to analyze the spectral characteristics of the Darcy-Flow dataset, which provides insights into the frequency...
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""" File: combine_gte_files.py Created: 2020/10/08 Last Changed: 2021/09/22 Author: M.Vochteloo Copyright (C) 2020 M.Vochteloo This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, eithe...
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#!/usr/bin/env python3 """ File: cohorts_plot.py Created: 2020/04/29 Last Changed: Author: M.Vochteloo Copyright (C) 2020 M.Vochteloo This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundati...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Base PyQt classes for multi-page widgets with change through signal emission. Page's identifiers are integers defined in constants.py. Created on Wed Jun 19 11:13:27 2019 @author: nicolas """ import os from skimage import io from PyQt5.QtCore import Qt, pyqtSignal ...
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#!/usr/bin/env python ############################################################################### ############################################################################### ## Created on February 1st 2017 to remove singletons from paired-end BAM file ###########################################################...
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"""Tests for the generic CROPro case-level metadata loader.""" from __future__ import annotations from pathlib import Path import pytest from cropro.metadata import CaseMetadataEntry, load_case_metadata # --------------------------------------------------------------------------- # # Helpers # --------------------...
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# Copyright 2022 Huawei Technologies Co., Ltd # # 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...
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#%% [markdown] # # Removing the Kenyon cells #%% import datetime import time import matplotlib as mpl import matplotlib.pyplot as plt import numpy as np import seaborn as sns from pkg.data import load_network_palette, load_unmatched from pkg.io import FIG_PATH, get_environment_variables from pkg.io import glue as defa...
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import matplotlib.pyplot as plt import numpy as np import torch import torch.nn as nn import torch.optim as optim import torch.nn.init as init from torch.autograd import Variable from torchvision import transforms, datasets # Helper functions def seqpairs(input_list): for i in range(len(input_list) - (2 - 1)):...
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#%% import os from pathlib import Path import matplotlib.pyplot as plt import seaborn as sns from IPython import get_ipython # just to decieve flake8 import src.utils as utils get_ipython().run_line_magic("autoreload", "2") get_ipython().run_line_magic("matplotlib", "inline") os.getcwd() #%% [markdown] # ### Choo...
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#! /usr/bin/env python3 """Python API, Transfer 2.5 with mask-out classes and per-control weights. python api_masking_and_weights.py --clip ./clips/carla_town10hd_semantic \\ --mask-classes vehicle --weights depth=1.0,seg=0.5,edge=0.3 ``mask_classes`` removes CARLA semantic classes from every input derive...
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# Copyright 2021 Huawei Technologies Co., Ltd # # 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...
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import numpy as np import torch import matplotlib import torch.nn as nn import torch.autograd as autograd import torch.nn.functional as F from torch.utils.data import TensorDataset, DataLoader import torch.optim as optim import matplotlib.pyplot as plt import nibabel as nib from nibabel import processing import confi...
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import torch import torch.nn as nn import torch.nn.functional as F from torch.utils.data import Dataset, DataLoader from torchvision import transforms from torch.optim.lr_scheduler import CosineAnnealingLR import torch.optim as optim from tqdm.auto import tqdm, trange import numpy as np import sklearn.metrics as m...
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import torch import torch.nn as nn import torch.nn.functional as F __all__ = ['LEDNet'] class LEDNet(nn.Module): def __init__(self, classes=2, aux=False, backbone='', jpu=False, pretrained_base=True): super(LEDNet, self).__init__() self.encoder = nn.Sequential( Downsampling(3, 32), ...
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import backend.cli import zipfile, tempfile, os, pathlib import PIL.Image import numpy as np import types def test_no_ext_file_basename(): target = 'AD_T046_L002_13.07.18_133359_007_SS' file_basename = backend.cli.no_ext_file_basename assert target == file_basename('AD_T046_L002_13.07.18_133359_007_SS.pn...
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#!/usr/bin/env python # Copyright 2017 Johns Hopkins University (author: Hossein Hadian) # Apache 2.0 """ This script prepares the training and test data for CIFAR-10 or CIFAR-100. """ from __future__ import division import argparse import os import sys parser = argparse.ArgumentParser(description="""Converts trai...
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#!/usr/bin/env python # -*- coding: utf-8 -*- # Copyright (c) 2026 Computer Vision Center (CVC) at the Universitat Autonoma de # Barcelona (UAB). # # This work is licensed under the terms of the MIT license. # For a copy, see <https://opensource.org/licenses/MIT>. """Generates Docs/bp_library.md from the blueprints o...
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# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. """ This file contains specific functions for computing losses on the RPN file """ import torch from torch.nn import functional as F from .utils import concat_box_prediction_layers from ..balanced_positive_negative_sampler import BalancedPositiv...
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#%% import os from pathlib import Path import matplotlib.pyplot as plt import pandas as pd import seaborn as sns from IPython import get_ipython # just to decieve flake8 import src.utils as utils get_ipython().run_line_magic("autoreload", "2") get_ipython().run_line_magic("matplotlib", "inline") os.getcwd() #%% [...
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""" - Takes fixed points data from fixed point dictionary file - Computes matrix L and eigenvalues for the fixpoint, located, corresponding to a wave with wave numbers (k1,k2). - Creates a subfolder and save the result INPUT: - args: k1, k2, delta0, tol - fixpoint_dict.pkl -> dictionary of fixed points """ import sys ...
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import mmcv from mmdet.core import bbox_mapping, tensor2imgs from ..builder import DETECTORS, build_backbone, build_head, build_neck from .base import BaseDetector @DETECTORS.register_module() class RPN(BaseDetector): """Implementation of Region Proposal Network.""" def __init__(self, backb...
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from collections import defaultdict import pytorch_lightning as pl from pytorch_lightning.metrics.regression import MeanAbsoluteError as MAE from pytorch_lightning.metrics.regression import MeanSquaredError as MSE from pytorch_lightning.metrics import F1 from pytorch_lightning.metrics import ExplainedVariance as EV imp...
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import random import torch import torch.nn as nn import torch.nn.functional as F from torch.autograd import Variable import torchvision.models as models from torch.autograd import Variable import numpy as np from model.utils.config import cfg from model.rpn.rpn import _RPN from model.roi_pooling.modules.roi_pool import...
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# Copyright 2021 Huawei Technologies Co., Ltd # # 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...
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#!/usr/bin/env python3 """Tests for io.""" import os from unittest.mock import patch import numpy as np import pytest from phys2cvr import regressors # ## Unit tests def test_create_legendre(): L = regressors.create_legendre(3, 10) assert L.shape == (10, 4) L = regressors.create_legendre(1, 5) as...
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# -*- coding: utf-8 -*- import pandas as pd import numpy as np from os import listdir, mkdir from os.path import isfile, join, exists def distribution_stats_column(df, dim, colname): """Creates a dictionary summary of distribution statistics for a numeric column in a pandas dataframe. Args: df (p...
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from pathlib import Path from typing import Optional, List, Union from torch.utils.data import DataLoader from .pt_dataset import PTDataset from ..transforms.data_processors import DefaultDataProcessor class Burgers1dTimeDataProcessor(DefaultDataProcessor): """Burgers1dTimeDataProcessor wraps the DefaultDataProc...
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#Authors: Ceyao Zhang, Renjie Li, May 2022, CUHKSZ import gym from gym import spaces from gym.envs.classic_control.cartpole import CartPoleEnv from gym.envs.registration import register import torch import torch.nn as nn import numpy as np class CartPoleEnv2(CartPoleEnv): def __init__(self, reward_net): ...
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"""Miscellaneous IO and other system functions.""" import os import sys import shutil import subprocess import signal from mpi4py import MPI def mprint(string, end="\n"): if MPI is not None: if MPI.COMM_WORLD.Get_rank() == 0: print(string,end=end) else: print(string,end=end) class...
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# Copyright 2022 Huawei Technologies Co., Ltd # # 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...
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#### Scatterplot with Geneset Annotations -------------------------------------- ## Need gene_embeddings/gene_names/df_single import gseapy as gp logdir_gsea = os.path.join(logdir,'GSEA') os.makedirs(logdir_gsea,exist_ok=True) genesets = {"scsig":"/home/yongin/projects/siVAE/data/MSigDB/scsig.all.v1.0.1.symb...
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import numpy as np import itertools import networkx as nx from tqdm import tqdm def path_to_visits(paths, n_verts, from_order=True, out_inds=[]): visit_orders = {i: [] for i in range(n_verts)} for path in paths: for i, n in enumerate(path): if from_order: visit_orders[n].ap...
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#!/usr/bin/env python3 # # Expansion Hunter Denovo # Copyright (c) 2017 Illumina, Inc. # # Author: Egor Dolzhenko <edolzhenko@illumina.com>, # Sai Chen <schen6@illumina.com> # Concept: Michael Eberle <meberle@illumina.com> # # This program is free software: you can redistribute it and/or modify # it under the ...
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#!/usr/bin/env python3 """ File: export_cf_ad_interaction_to_excel.py Created: 2022/05/16 Last Changed: Author: M.Vochteloo Copyright (C) 2020 M.Vochteloo This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Fr...
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import math import torch import torch.nn as nn from torch.nn.modules.utils import _pair from .deform_conv_func import deform_conv, modulated_deform_conv class DeformConv(nn.Module): def __init__( self, in_channels, out_channels, kernel_size, stride=1, padding=0, ...
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from math import sqrt import torch def gaussian2D(radius, sigma=1, dtype=torch.float32, device='cpu'): """Generate 2D gaussian kernel. Args: radius (int): Radius of gaussian kernel. sigma (int): Sigma of gaussian function. Default: 1. dtype (torch.dtype): Dtype of gaussian tensor. De...
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import mmcv from mmdet.core import bbox_mapping, tensor2imgs from ..builder import DETECTORS, build_backbone, build_head, build_neck from .base import BaseDetector @DETECTORS.register_module() class RPN(BaseDetector): """Implementation of Region Proposal Network.""" def __init__(self, backb...
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import os import collections from os.path import join import numpy as np import pandas as pd from itertools import chain from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestRegressor from sklearn.model_selection import ShuffleSplit, GridSearchCV from sklearn.metrics import (me...
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#!/usr/bin/env python3 """Driver: produce the full Autoware map directory for a CARLA town. Output layout (what ``ros2 launch autoware_launch e2e_simulator.launch.xml map_path:=<out>`` expects): <out>/ pointcloud_map.pcd ground-truth lidar sweep, voxelized lanelet2_map.osm OpenDRIVE -> l...
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from __future__ import print_function import argparse import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim from torchvision import datasets, transforms from torch.autograd import Variable import dni # Training settings parser = argparse.ArgumentParser(description='PyTorch MNIS...
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#!/usr/bin/env python # -*- coding: utf-8 -*- # Copyright (c) 2026 Computer Vision Center (CVC) at the Universitat Autonoma de # Barcelona (UAB). # # This work is licensed under the terms of the MIT license. # For a copy, see <https://opensource.org/licenses/MIT>. import os import yaml import re COLOR_METHOD = '#7fb...
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from __future__ import print_function, absolute_import import os import torch.utils.data as data import torchvision import os.path from torchvision import transforms import numpy as np from scipy.io import loadmat from data_utils import * def assign_classes(actions): classes = [x for x in actions] class...
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# Copyright 2021 Huawei Technologies Co., Ltd # # 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...
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# Copyright 2020 Huawei Technologies Co., Ltd # # 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...
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# Author: Christian Brodbeck <christianbrodbeck@nyu.edu> from numpy.testing import assert_array_equal import numpy as np import pytest import scipy.stats from eelbrain import datasets, test from eelbrain.fmtxt import asfmtext from eelbrain._stats import test as _test def test_correlations(): "Test test.correlati...
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import os import torch import sys class BaseModel(torch.nn.Module): def name(self): return 'BaseModel' def initialize(self, opt): self.opt = opt self.gpu_ids = opt.gpu_ids self.isTrain = opt.isTrain self.Tensor = torch.cuda.FloatTensor if self.gpu_ids else torch.Tensor ...
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#this code will extract all available labratories for patients (previous code will extract data on the defined labratories on defined day-from-admission) import numpy as np import pandas as pd import matplotlib.pylab as plt import openpyxl pd.set_option('display.max_rows', 50) pd.set_option('display.max_columns', 10...
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# Copyright 2020 Huawei Technologies Co., Ltd # # 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...
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# Copyright 2022 Huawei Technologies Co., Ltd # # 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...
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import math import multiprocessing from joblib import Parallel, delayed import numpy as np import scipy import scipy.stats from scipy.spatial import KDTree import mne from gpuparallel import GPUParallel from gpuparallel import delayed as GPUdelayed import torch def wavelet_fft(frequencies: np.array, fwhm: np.ar...
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import os from os.path import join import collections import numpy as np import pandas as pd from itertools import chain from sklearn.model_selection import train_test_split from sklearn.impute import SimpleImputer, MissingIndicator from sklearn.pipeline import make_union, Pipeline from sklearn.ensemble import RandomF...
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""" Separated training for OmiEmbed """ import time import warnings from util import util from params.train_params import TrainParams from datasets import create_single_dataloader from models import create_model from util.visualizer import Visualizer if __name__ == "__main__": warnings.filterwarnings('ignore') ...
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# Copyright 2022 Huawei Technologies Co., Ltd # # 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...
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import os import random import multiprocessing import pickle import numpy as np import torch from captum.attr import IntegratedGradients from openeye import oechem from openeye import oegrid from openeye import oezap from openeye import oespicoli try: from base import VISCOSITY_KEY, ENTITY_KEY except Exception ...
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#!/usr/bin/env python3 """Tests for io.""" import numpy as np import pytest from phys2cvr import stats # ## Unit tests def test_x_corr(): func = np.array([1.0, -2.0, 3.0]) co2 = np.array([0.0, 1.0, -2.0, 3.0, 4.0]) # Manually compute expected correlations # sco2 windows: [0,1,-2], [1,-2,3], [-2,3,4...
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""" Copyright (c) 2019, National Institute of Informatics All rights reserved. Author: Huy H. Nguyen ----------------------------------------------------- The Y-shaped autoencoder model file. """ import torch from torch import nn class Encoder(nn.Module): def __init__(self, depth=3): super(En...
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# This script is part of navis (http://www.github.com/schlegelp/navis). # Copyright (C) 2018 Philipp Schlegel # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of...
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import autograd.numpy as anp from .fit import FitEngine # Base model constructor class # Used as constructor for ODEMOdel and PDEModel class BaseModel: dt: float # Discretization time step kGamma = 1 # DA adsorption rate constant params: dict # Parameter dictionary # Base initialization def __init...
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""" File: cutoff_eigenvectors.py Created: 2020-07-08 Last Changed: 2020-07-08 Author(s): H.H.Wiersma Code to create distribution plot and a mask image used in the research plan Copyright (C) 2019 H.H.Wiersma This program is free software: you can redistribute it and/or modify it under the terms of the...
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# %% [markdown] # ## import os import warnings from itertools import chain import matplotlib as mpl import matplotlib.gridspec as gridspec import matplotlib.pyplot as plt import matplotlib.transforms as transforms import numpy as np import pandas as pd import seaborn as sns from joblib import Parallel, delayed from sc...
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import os import collections from os.path import join import numpy as np import pandas as pd from itertools import chain from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestRegressor from sklearn.model_selection import ShuffleSplit, GridSearchCV from sklearn.metrics import (me...
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import autograd.numpy as anp from .base import BaseModel # PDE Model constructor class # Used as constructor for STUR and STDR class PDEModel(BaseModel): D = 240. # Diffusion coeffient P: anp.ndarray # Discrete release sites def __init__(self, kinetics: bool = True, discrete: bool = False): super(...
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import torch import torch.nn as nn import torch.nn.functional as F from torch_geometric.nn import GCNConv, GATConv, SAGEConv from torch_geometric.nn import global_mean_pool class GraphCondGlobal(nn.Module): """ Graph-based (as opposed to node-based) conditional (on trial phase and clinical condition) GNN ...