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#!/usr/bin/python ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ## # # See COPYING file distributed along with the gradunwarp package for the # copyright and license terms. # ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ## import argparse as arg import os...
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#!/usr/bin/env python ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ## # # See COPYING file distributed along with the gradunwarp package for the # copyright and license terms. # ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ## import argparse as arg impor...
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import os import time import logging import numpy as np import pandas as pd from sklearn.neighbors import KNeighborsClassifier from sklearn.linear_model import LogisticRegression from sklearn.neural_network import MLPClassifier from .data.data_handler import kfold_split from sklearn import metrics d...
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# -*- coding: utf-8 -*- """ Spyder Editor. This is a temporary script file. """ from neuron import h import matplotlib.pyplot as plt import numpy as np from scipy.signal import find_peaks from cell_models import VIPCRCell from opt import myinit, mystyle # Make plots nicer! plt.style.use("seaborn-colorblind") plt.rcP...
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"""Build M_LensRain from the versioned RainLens.ush shader. Run with UnrealEditor-Cmd <project> -run=pythonscript -script=<this file> -nullrhi -unattended -nosound. Keeps the old M_screenDrops for comparison. """ import unreal DEFAULTS = [("Coverage", 1.0), ("DropScale", 1.2), ("Refraction", 0.75), ("Soft...
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import cv2 import numpy as np import numbers import random import collections def get_2dshape(shape, *, zero=True): if not isinstance(shape, collections.Iterable): shape = int(shape) shape = (shape, shape) else: h, w = map(int, shape) shape = (h, w) if zero: minv = ...
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#!/usr/bin/env python3 """ File: preprocess_matrix.py Created: 2020/11/03 Last Changed: 2020/12/01 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 So...
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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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#################################################################################################### # Copyright (c) 2019, EPFL / Blue Brain Project # Author(s): Marwan Abdellah <marwan.abdellah@epfl.ch> # # This file is part of VessMorphoVis <https://github.com/BlueBrain/VessMorphoVis> # # This program is free softwar...
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''' Integrates trajectory for many cycles - tries to load previously computed cycles; starts from the last point available - saved result in a separate file (e.g. phi_0_pt1.npy) - finishes early if a trajectory almost converged to a fixed point - IF integrated for many thousands of cycles - may want to uncomment `phi...
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"""Paper Figure 3: novel-odor signaling and the AIF / Bayesian-observer channel. Layout (1 x 3): A — |DAN| comparison: familiar vs novel for RPE and AIF B — Distribution of AIF DAN responses across novel odors (reaches log 2) C — Habituation curve on repeated novel-odor exposure (Hattori signature) This figure ...
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import gc from dipy.io.streamline import load_tractogram import numpy as np from dipy.io.stateful_tractogram import StatefulTractogram, Space import os.path as op try: from trx.io import load as load_trx has_trx = True except ModuleNotFoundError: has_trx = False from AFQ.utils.path import drop_extension,...
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import os.path as op import logging from AFQ.utils.path import drop_extension logger = logging.getLogger('AFQ') __all__ = ["Definition", "find_file", "name_from_path"] class Definition(object): ''' All Definitions should inherit this. For a given subject and session within the API, the definition is ...
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# -*- coding: utf-8 -*- """ Spyder Editor. This is a temporary script file. """ from neuron import h import matplotlib.pyplot as plt import numpy as np from scipy.signal import find_peaks from cell_models import VIPCRCell from opt import myinit, mystyle # Make plots nicer! plt.style.use("tableau-colorblind10") plt.r...
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""" DeepCT architecture (TODO: Add our names). """ import numpy as np import torch import torch.nn as nn from torch.utils.tensorboard import SummaryWriter class DeepCT(nn.Module): def __init__( self, sequence_length, n_cell_types, sequence_embedding_length, cell_type_embedd...
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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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# This script performs transfer learning # input files: sm_seas_cycle.pkl, amsr_3dm.pkl, smos1020_out_short_2002-2010_JULY_for_HOVEMOLLER.pkl # input preptained NN: amsr_smap_residual_v1.h5 # output files: new NN amsr_smap_transfer_1.h5, transfer_output_short_ver1.pkl # auxiliary: amsre_3dm_seas_cycle.pkl import s...
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import json from random import randint from subprocess import Popen, PIPE import numpy as np from sklearn.base import BaseEstimator, ClassifierMixin from sklearn.metrics import accuracy_score, matthews_corrcoef from sklearn.model_selection import train_test_split, RepeatedStratifiedKFold, RepeatedKFold from sklearn.da...
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# Copyright 2020 Google Research. 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 required by applicable law...
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''' @author: Mahbub Ul Alam (mahbub@dsv.su.se) @version: 1.0+ @copyright: Copyright (c) Mahbub Ul Alam (mahbub@dsv.su.se) @license : MIT License ''' import torch from transformers import AutoTokenizer, AutoModel, AutoConfig import pandas as pd import pickle import sys device = torch.device("cuda:0" if torch.cuda.is_av...
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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 random as rnd import numpy as np import csv def write_header(filename): fieldnames = ['source', 'target','index', 'start_x', 'start_y', 'start_z', 'rotate', 'rotation_plane', 'rotation_degree_idx', 'coverage'] with open(filename, mode='w', newline='') as csv_file: writer = csv.DictWriter(csv_fil...
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#%% from pymaid_creds import url, name, password, token import pymaid import matplotlib.pyplot as plt import seaborn as sns import numpy as np import pandas as pd from contools import Promat, Celltype, Celltype_Analyzer, Analyze_Cluster # allows text to be editable in Illustrator plt.rcParams['pdf.fonttype'] = 42 plt...
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#!/usr/bin/env python # Author : Gaurav Kumar (Johns Hopkins University) # Gets a report on what the best word error rate was and which iteration # led to it. This is needed both for reporting purposes and for setting # the acoustic scale weight which extracting lattices. # This script is specific to my partitions and...
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from abc import ABC, abstractmethod from drugex.logs import logger from drugex.molecules.interfaces import MolSupplier class Vocabulary(ABC): """ Definition of the vocabulary interface. All vocabularies contain "words" that are used for encoding and decoding molecules. """ def __init__(self, words):...
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""" File: inter_clustermap.py Created: 2020/03/16 Last Changed: 2020/06/19 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...
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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 time class Pair: """ window.pair class offers methods to perform a sliding window op for each of central residue pairs f...
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import os import copy import tensorflow as tf import numpy as np import pandas as pd import math import random import matplotlib.colors as colors from sklearn.model_selection import train_test_split from sklearn.decomposition import PCA from siVAE.data import data_handler as dh from siVAE.util im...
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""" This file contains functions to interact with an s3 bucket. Specifically read a feather file, save a dataframe as a feather file, and convert a json file to a feather on an s3 bucket. Taken from https://gist.github.com/sminot/a82ad01eb28bd2114bf34fd6c7d99f6e @author rdalrymple@riversideresearch.org """ impo...
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import argparse parser = argparse.ArgumentParser(description='Merge psychEncode with eQTLs from Sieberts et al.') parser.add_argument('Sieberts_eqtls', help='eQTLs from Sieberts et al. study') parser.add_argument('psychEncode_eqtls', help='eQTLs from psychEncode study') args = parser.parse_args() def parse_sieberts...
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""" File: inter_pvalue_boxplot.py Created: 2020/05/12 Last Changed: 2020/06/19 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, ei...
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""" File: cmd_line_arguments.py Created: 2020/10/15 Last Changed: 2020/10/27 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, eit...
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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" from typing import Dict import pandas as pd from tmkit.util.Reader import Reader as greader class Reader: def __init__(self) -> None:...
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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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# Takuya Ito # 11/29/2018 # Balloon-Windkessel model for hemodynamic response modeling # Equations and default parameters taken from: # Friston KJ, Harrison L, Penny W (2003) Dynamic causal modelling. Neuroimage. import numpy as np def balloon_windkessel(z, sampling_rate, alpha=0.32, kappa=0.65, gamma=0.41, tau=0.9...
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# -*- coding: utf-8 -*- """ Spyder Editor. This is a temporary script file. """ from neuron import h import matplotlib.pyplot as plt import numpy as np from scipy.signal import find_peaks from cell_models import VIPCCKCell from opt import myinit, mystyle # Make plots nicer! plt.style.use("seaborn-colorblind") plt....
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# -*- coding: utf-8 -*- import keras import keras.engine as engine import keras.layers as layers import keras.optimizers as optimizers import unetsl.cli_interface import unetsl.model import unetsl.data import random import sys import numpy from keras.models import load_model from skimage.external.tifffile import Tiff...
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""" compute Multiply-Adds(MAdd) of each leaf module """ import torch.nn as nn def compute_Conv2d_madd(module, inp, out): assert isinstance(module, nn.Conv2d) assert len(inp.size()) == 4 and len(inp.size()) == len(out.size()) in_c = inp.size()[1] k_h, k_w = module.kernel_size out_c, out_h, out_w ...
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#!/usr/bin/env python # Copyright (c) 2024 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>. """Top-down view of a Hybrid Solid-State LiDAR point cloud. The HSS LiDAR (`...
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# -*- coding: utf-8 -*- """ compute Multiply-Adds(MAdd) of each leaf module """ import torch.nn as nn def compute_Conv2d_madd(module, inp, out): assert isinstance(module, nn.Conv2d) assert len(inp.size()) == 4 and len(inp.size()) == len(out.size()) in_c = inp.size()[1] k_h, k_w = module.kernel_size...
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# -*- coding: utf-8 -*- """ Spyder Editor. This is a temporary script file. """ from neuron import h import matplotlib.pyplot as plt import numpy as np from scipy.signal import find_peaks from cell_models import VIPCCKCell from opt import myinit, mystyle # Make plots nicer! plt.style.use("tableau-colorblind10") pl...
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#!/usr/bin/env python3 """ File: preprocess_matrix.py Created: 2020/11/03 Last Changed: 2020/12/01 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 So...
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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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from joblib import Parallel, delayed from typing import Callable, Optional from tqdm.auto import tqdm import pandas as pd import numpy as np def apply_parallel_joblib( group_obj: pd.core.groupby.generic.DataFrameGroupBy, func: Callable, n_jobs: int = 10, verbose: int = 10, backend: str = "loky", ...
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#%% Imports and file loading from pathlib import Path import pandas as pd import networkx as nx import numpy as np from graspy.plot import gridplot from src.data import load_networkx data_path = Path( "./maggot_models/data/raw/Maggot-Brain-Connectome/4-color-matrices_Brain" ) data_date = "2019-09-18-v2" graph_t...
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""" A collection of models we'll use to attempt to classify videos. """ from keras.layers import Dense, Flatten, Dropout, ZeroPadding3D,Activation, SpatialDropout3D,TimeDistributed,GlobalAveragePooling1D,GlobalMaxPooling2D,Input,concatenate from tensorflow.layers import batch_normalization from keras.layers.normalizati...
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#!/usr/bin/env python3 # Copyright 2017 Hossein Hadian # Apache 2.0 """ This script finds a set of allowed lengths for a given OCR/HWR data dir. The allowed lengths are spaced by a factor (like 10%) and are written in an output file named "allowed_lengths.txt" in the output data dir. This file is la...
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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" from typing import Any, Dict, List, Optional, Union from functools import wraps import pandas as pd class Reader: def __call__(self, ...
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#!/usr/bin/env python3 """Draw a CARLA pedestrian navmesh in the server viewport, colour-coded by area. UE4's navmesh view shows nothing for CARLA (see references/maps.md), so this decodes Nav/<map>.bin and renders its polygons with world.debug.draw_line. The file is parsed locally, so the server need not have it load...
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import logging import pickle import sys import warnings from dataclasses import asdict import chika import numpy as np import pandas as pd from imblearn.metrics import geometric_mean_score from sklearn.ensemble import ExtraTreesClassifier, RandomForestClassifier from sklearn.linear_model import LogisticRegression from...
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# Copyright (c) Open-MMLab. All rights reserved. import cv2 import numpy as np from mmcv.image import imread, imwrite from .color import color_val def imshow(img, win_name='', wait_time=0): """Show an image. Args: img (str or ndarray): The image to be displayed. win_name (str): The window na...
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# Copyright 2023 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 pandas as pd import numpy as np import functions_basic_sak as funsak import import_AIS from tqdm import tqdm import os import inspect import pathlib import re import AIS_parameters pd.set_option('display.max_columns', 20, 'display.width', 1500) fname = os.path.split( inspect.getfile(inspect.curren...
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import os from os.path import join import numpy as np import pandas as pd from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestRegressor from sklearn.model_selection import ShuffleSplit, GridSearchCV from sklearn.metrics import (mean_absolute_error, mean_squared_error, ...
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"""Poincare ball manifold.""" import torch from manifolds.base import Manifold from utils.math_utils import artanh, tanh class PoincareBall(Manifold): """ PoicareBall Manifold class. We use the following convention: x0^2 + x1^2 + ... + xd^2 < 1 / c Note that 1/sqrt(c) is the Poincare ball radius. ...
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# Merge FeatureCount count files (counts per sample) to matrix with rows genes, columns samples # NOTE: Needs Python version 3.5+ import glob import argparse import gzip import sys parser = argparse.ArgumentParser(description='Merge multiple FeatureCount count files into a matrix. Uses featureCount_directory in which f...
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import os import torch import torchvision from torch.autograd import Variable import torch.nn as nn import torch.nn.functional as F from torch.utils.data import Dataset, DataLoader from torchvision import transforms, utils import torch.optim as optim import torchvision.transforms as standard_transforms import numpy a...
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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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# 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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from operator import index import numpy as np import csv, torch, os, pickle, math from torch import nn from torch.nn import functional as F import torch.optim as optim import torch.utils.data as Data import pandas as pd # from tqdm import tqdm # from random import random, sample # from model import Model class T...
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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 """ File: compare_inter_matrices.py Created: 2020/04/06 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 Softwar...
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''' Integrate with Euler method with noise - starts from an initial condition if not found raises an error - If finds previous parts of trajectory Prolongs existing trajectories until some total number of cycles ncycle_total. - `phases_to_interval` is used -> after each cycles phases are mapped to [-2pi,2pi] ...
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#import packages import networkx as nx import pandas as pd import torch import torch.nn as nn import torch.nn.functional as F import numpy as np from pytorchtools import EarlyStopping from scipy import spatial from scipy.spatial import cKDTree import scipy.sparse as sp import time import json from networkx.readwrite...
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import pprint import numpy as np import torch from torch.utils.tensorboard import SummaryWriter import M2TR.utils.checkpoint as cu import M2TR.utils.distributed as du import M2TR.utils.logging as logging from M2TR.utils.build_helper import ( build_dataloader, build_dataset, build_loss_fun, build_model...
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# -*- coding: utf-8 -*- """Preview Code for 'Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans' submit to Transactions on Medical Imaging, 2020. First Version: Created on 2020-05-13 (@author: Ge-Peng Ji) """ import os from PIL import Image import torch.utils.data as data import torchvision.transf...
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import ast import json import os import numpy as np import pandas as pd import requests import streamlit as st def init_page(): st.set_page_config(layout="wide") def softmax(x): e_x = np.exp(x - np.max(x)) return e_x / e_x.sum(axis=0) @st.cache_data def mscoco_image_url(image_id): data = {"image_...
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import inspect import torch.nn as nn from mmcv.utils import is_tuple_of from mmcv.utils.parrots_wrapper import SyncBatchNorm, _BatchNorm, _InstanceNorm from .registry import NORM_LAYERS NORM_LAYERS.register_module('BN', module=nn.BatchNorm2d) NORM_LAYERS.register_module('BN1d', module=nn.BatchNorm1d) NORM_LAYERS.reg...
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"""One test per finding of the new-user walkthrough of 1.0.1, fixed in 1.0.2.""" import contextlib import io import random import numpy as np import pandas as pd import pytest import pyoxynet from pyoxynet import utilities _cnn = [] def cnn(): if not _cnn: _cnn.append(utilities.load_model('CNN')) r...
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#!/usr/bin/env python3 """Ground-truth OpenDRIVE surface evaluator (lines+arcs, elevation, lateral shapes). For a query xy point and a road id, finds the road-frame (s,t) and returns the surface z with and without the lateralProfile/shape contribution. Used to check whether crossing roads' surfaces reconcile once shap...
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# -*- coding: utf-8 -*- """ Created on Fri Dec 10 12:39:31 2021 @author: Fuyuki Asano """ import glob import numpy as np import pandas as pd import matplotlib.pyplot as plt import matplotlib.ticker as ticker from mpl_toolkits.axes_grid1 import make_axes_locatable from matplotlib.colors import Normalize from matplotli...
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#! /usr/bin/python # -*- coding: utf8 -*- import argparse import os import re import numpy as np from sklearn.metrics import confusion_matrix, f1_score from deepsleep.sleep_stage import W, N1, N2, N3, REM def print_performance(cm): tp = np.diagonal(cm).astype(np.float) tpfp = np.sum(cm, ax...
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from omegaconf import DictConfig, OmegaConf import logging import torch import pytorch_lightning as pl from typing import Dict, Optional, List import numpy as np import pandas as pd from pathlib import Path from hydra.utils import instantiate from collections import OrderedDict from torch.utils.data import DataLoader ...
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# %% [markdown] # ## import os import time import matplotlib as mpl import matplotlib.pyplot as plt import numpy as np import scipy import seaborn as sns from joblib import Parallel, delayed import pandas as pd from graspy.match import GraphMatch from graspy.plot import heatmap from src.cluster import get_paired_inds...
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import argparse import os import matplotlib.pyplot as plt from matplotlib import animation import numpy as np from tensorflow import keras from tensorflow.keras import layers from tqdm import tqdm from scripts.get_s2_data_ee import get_history, get_pixel_vectors def normalize(x): return (np.array(x) - 0) / (3000...
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import SimpleITK as sitk import numpy as np import pandas as pd import torch, os, random, imageio from torch.cuda.amp import autocast from tqdm import tqdm import torch.nn.functional as F def seed_torch(seed): random.seed(seed) os.environ["PYTHONHASHSEED"] = str(seed) np.random.seed(seed) torch.manual...
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""" File: create_variance_explained_plot.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 t...
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import math import torch import logging import torch.nn.functional as F from torch import nn from ..retinanet.loss import make_retinanet_loss_evaluator from ..retinanet.inference import make_retinanet_postprocessor from ..anchor_generator import make_anchor_generator_retinanet from maskrcnn_benchmark.utils.comm impor...
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# -*- coding:utf-8 -*- from tensorflow.keras.models import Model as KerasModel from tensorflow.keras.layers import Input, Dense, Flatten, Conv2D, MaxPooling2D, BatchNormalization, Dropout, Reshape, Concatenate, LeakyReLU from tensorflow.keras.optimizers import Adam IMGWIDTH = 256 class Classifier: def __init__()...
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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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# 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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"""Same frozen scene through every camera profile, and through weather presets. python3 looks.py OUT --pose x,y,z,yaw[,pitch] --mode profiles|weather [--profile Cinematic] """ import argparse, os, queue, sys import carla sys.path.insert(0, os.path.dirname(__file__)) import scene PROFILES = ["AutomotiveHDR", "Automotiv...
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""" =============================================================== How to add new bundles into pyAFQ (Acoustic Radiations Example) =============================================================== pyAFQ is designed to be customizable and extensible. This example shows how you can customize it to define a new bundle bas...
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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" from typing import List from tmkit.chain.PDB import PDB as cpdb from tmkit.visualize.component.Color import Color as libcolor from tmkit.vis...
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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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""" File: normal_transform_matrix.py Created: 2020/10/27 Last Changed: 2020/10/28 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,...
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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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# -*- coding: utf-8 -*- # Clase para la posicion y comparación V 1.0 # Autor: José Miguel Ramírez Sanz # imports import detectron2 from detectron2.utils.logger import setup_logger setup_logger() import pandas as pd import pickle as pk import numpy as np import cv2 from matplotlib import pyplot as plt import gc from...
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import os import sys from types import ModuleType from typing import Optional, Tuple import numpy as np from ..base import DatabaseBase, ALL, load_fids ######################################################################## class Database(DatabaseBase): """""" fids = load_fids(os.path.join(os.path.dirname(...
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import pandas as pd import os import sys import time sys.path.append(os.path.join(os.path.dirname(__file__), "../../../scripts/PTFunctions")) from report_reshape_upload import * from PTQuery import * logfile = snakemake.log[0] logging.basicConfig( filename=logfile, filemode="w", level=logging.DEBUG, ...
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import sys import os import shutil from modeller import * from modeller.automodel import * seq = sys.argv[1] ssd = sys.argv[2] pdb = sys.argv[3] name = sys.argv[4] ali = sys.argv[5] outdir = sys.argv[6] # set working directory dir = os.path.join(outdir, name + "_modeller") if not os.path.exists(dir):...
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import h5py import nibabel as nib from nilearn.image import resample_img import os, sys import re import numpy as np from scipy.ndimage import zoom from tqdm import tqdm currentdir = os.path.dirname(os.path.realpath(__file__)) parentdir = os.path.dirname(currentdir) sys.path.append(parentdir) # PYTHON > 3.3 does not ...
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# Copyright (c) 2017-present, Facebook, Inc. # All rights reserved. # # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. # import os import json import argparse import numpy as np import torch from src.loader import load_images, DataSampler from src...
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### # #%L # Triangulated surface for deforming in 3D. # %% # Copyright (C) 2013 - 2023 University College London # %% # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, incl...
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import numpy as np import sys import time import shutil import subprocess import os import pyflann from IPython.core.debugger import set_trace from Bio.PDB import * struct_dir = "/home/gainza/lpdi_fs/masif_paper/masif/data/masif_ppi_search_ub/data_preparation/01-benchmark_pdbs/" benchmark_list_fn = "../benchmark_list....
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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 os import sys import numpy as np from PyQt5.QtWidgets import * from PyQt5.QtGui import * from PyQt5.QtCore import * from .uuuuuu import hsv2rgb, gamma_line, get_qhsv_from_czi_hsv, make_hist_data, read_qss_file class BWSpin(QWidget): def __init__(self, parent=None): QWidget.__init__(self) # ...
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import os, inspect, numbers import numpy as np from itertools import zip_longest from scripting.spectrum.io.readers import readers from scripting.spectrum.io.mixins.view_instance import ViewInstance class EEG(ViewInstance): """A memory map object with data accessor returning numpy ndarrays. Attrs: ...
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""" File: create_cohort_matrix.py Created: 2020/10/08 Last Changed: 2020/11/20 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, ei...
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import sys import os from collections import OrderedDict """ Expected format for the input file: #Id #Real value #Guessed value [...] 0 1 0 0.000000 0.000000 0.000000 0.000000 1.000000 1.000000 0.000042 0.000042 """ ID_ROW=0 REAL_ROW=1 GUESS_ROW=2 def main(path): file_name = path.split('/')[-1].split('.')[0] ...