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import warnings warnings.simplefilter(action='ignore', category=FutureWarning) import numpy as np import gym import pandas as pd import matplotlib.pyplot as plt import time import matplotlib.path as mpath import matplotlib.lines as mlines import matplotlib.patches as mpatches from matplotlib.collections import PatchC...
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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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# 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 jax import jax.numpy as jnp import numpy as np from typing import Tuple from alphafold.common import residue_constants # this is mostly Justas magic with some Phil hacks at the end # some of this code is repurposed from the alphafold package pdb_key_list = ['atom14_atom_exists', 'residx_atom14_...
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# This file helps to compute a version number in source trees obtained from # git-archive tarball (such as those provided by githubs download-from-tag # feature). Distribution tarballs (built by setup.py sdist) and build # directories (produced by setup.py build) will contain a much shorter file # that just contains t...
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from multiprocessing import Pool import mmcv import numpy as np from mmcv.utils import print_log from terminaltables import AsciiTable from .bbox_overlaps import bbox_overlaps from .class_names import get_classes def average_precision(recalls, precisions, mode='area'): """Calculate average precision (for single...
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#!/usr/bin/env python # -*- coding: latin-1 -*- # # Copyright 2020 Blaise Frederick # # 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....
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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 import numpy as np from tmkit.seqnetrr.net.Reader import Reader as prrcreader from tmkit.seqnetrr.window.base import Pair as ec...
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#%% [markdown] # # Joint embedding of connectivity and morphology # > Here I try to accomplish this on the maggot data using the MASE approach. # # - toc: true # - badges: true # - categories: [pedigo, maggot, graspologic] # - hide: false # - search_exclude: false #%% # collapse import logging import os import time im...
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import tempfile import os.path as op import logging import numpy as np import AFQ.viz.utils as vut from dipy.tracking.streamline import set_number_of_points try: from dipy.viz import window, actor, ui from fury.colormap import line_colors import IPython.display as display except (ImportError, ModuleNotF...
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import math import random import torch from torch import nn from torch.nn import functional as F from models.stylegan2.op import FusedLeakyReLU, fused_leaky_relu, upfirdn2d class PixelNorm(nn.Module): def __init__(self): super().__init__() def forward(self, input): return input * torch.rsqrt...
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"""Local persistence of job results — every file that comes back is kept on disk. Layout (``results root`` = explicit path, ``$COSMOS_RESULTS`` or ``./cosmos-results``):: <results_root>/ index.json every job this machine knows about <clip_id>/<job_id>/ <view>.mp4 ... ...
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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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# coding: utf-8 # 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 ...
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from __future__ import absolute_import from __future__ import division from __future__ import print_function import math import time import cv2 import os import sys import csv import numpy as np import matplotlib.pyplot as plt import slideflow as sf from random import shuffle from matplotlib import patches from mult...
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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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#!/usr/bin/env python3 """ File: julienbryois2021_replication_plot.py Created: 2022/01/12 Last Changed: 2022/02/10 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 publishe...
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#!/usr/bin/env python3 """ File: compare_bulk_and_sn_zscores_with_decon.py Created: 2020/11/04 Last Changed: 2022/02/10 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 pub...
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import numpy as np import torch from mmcv.cnn import normal_init from mmcv.runner import force_fp32 from mmdet.core import (anchor_inside_flags, images_to_levels, multi_apply, unmap) from ..builder import HEADS from ..losses.accuracy import accuracy from ..losses.utils import weight_reduce_loss...
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import pandas as pd from scipy.io import loadmat import xml.etree.ElementTree as ET import numpy as np import logging from scipy.stats import binomtest def mapping_is_complete(mapping: dict, is3D: bool = False): for c in ["x", "y", "n"]: if c not in mapping: return False if ("t" not in map...
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from scipy import sparse import scipy.io import sys import pandas as pd import numpy as np from shutil import copyfile import re import os script_dir = os.path.dirname(os.path.realpath(__file__)) metadata_dir = os.path.join(script_dir, "../../data/metadata/") ref_gene_dir = os.path.join(script_dir, "../../data/") curr...
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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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#!/usr/bin/env python3 """Download CARLA — an official release, a nightly, a source checkout, or a Docker image. Commands: list published versions and what each one offers resolve [--version 0.9.16] print the real download URL(s) + sizes, download nothing release [--version late...
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"""CROPro resample pipeline: align ADC/HBV scans and masks onto the T2W grid. CROPro crops T2W, ADC and HBV at the same slice index and (x, y) origin, which only works when the three sequences share an identical geometry. In many prostate MRI datasets the sequences are acquired independently and differ in slice count ...
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#!/usr/bin/env python3 """Scaffold and validate a CARLA Leaderboard agent. agent_tools.py scaffold --name MyAgent --track SENSORS --out ~/team_code agent_tools.py validate --agent ~/team_code/my_agent.py [--track SENSORS] agent_tools.py budget [--track SENSORS] `validate` calls the *real* validate_senso...
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#################################################################################################### # Copyright (c) 2019 - 2023, 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 ...
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# -*- coding: utf-8 -*- """ Spyder Editor. """ import time, sys from neuron import h import numpy as np from opt import myinit from cell_models import CCKCell, PyramidalCell, OLMCell, VIPCCKCell, VIPCRCell t1sim = time.time() # Load the console parameters reps = int(sys.argv[1]) # repetitions trials = int(sys.argv[...
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# Author: Christian Brodbeck <christianbrodbeck@nyu.edu> from itertools import repeat from pathlib import Path import numpy as np from numpy import newaxis from numpy.testing import assert_allclose import pytest from eelbrain import datasets, load, test, testnd, Dataset, Factor, NDVar, Var from eelbrain._data_obj imp...
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"""Live check that sensor.camera.rt_lens delivers deterministically in synchronous mode. (a) latency: a prop moves 1 m per tick across the view; the rt_lens centroid at tick k must correspond to the instance-segmentation mask centroid at tick k (a blocking raster sensor at the same pose), not to the one from t...
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# -*- coding: utf-8 -*- """ Spyder Editor. """ import time, sys from neuron import h import numpy as np from opt import myinit from cell_models import CCKCell, PyramidalCell, OLMCell, VIPCCKCell, VIPCRCell t1sim = time.time() # Load the console parameters reps = int(sys.argv[1]) # repetitions trials = int(sys.argv[...
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import argparse import csv import logging from pathlib import Path from typing import Dict, List, Tuple import datasets import torch import torch.nn as nn from datasets import load_dataset from torchmetrics.functional import f1_score, mean_absolute_error from tqdm import tqdm from transformers import AutoTokenizer fr...
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import numpy as np import torch from mmcv.cnn import normal_init from mmdet.core import (anchor_inside_flags, force_fp32, images_to_levels, multi_apply, unmap) from ..builder import HEADS from ..losses.accuracy import accuracy from ..losses.utils import weight_reduce_loss from .retina_head impo...
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# coding: utf-8 # 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 ...
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#%% import pandas as pd import numpy as np import seaborn as sns import matplotlib.pyplot as plt from pymaid_creds import url, name, password, token from data_settings import data_date, pairs_path import pymaid rm = pymaid.CatmaidInstance(url, token, name, password) from contools import Celltype, Celltype_Analyzer, P...
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# # Copyright (c) 2018 Institute for Basic Science # # 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, including without limitation the rights # to use, copy, modify, merge...
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import logging from collections import defaultdict from copy import copy from dataclasses import dataclass, field from typing import Collection, Dict, Iterator, List, Mapping, Optional, Set, Tuple from oaklib.datamodels.association import Association, AssociationChange from oaklib.datamodels.vocabulary import IS_A, PA...
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#!/usr/bin/env python3 """ File: compare_eqtl_results.py Created: 2022/04/01 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 ...
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import cv2 import copy import torch import numpy as np from maskrcnn_benchmark.layers.misc import interpolate from maskrcnn_benchmark.utils import cv2_util import pycocotools.mask as mask_utils # transpose FLIP_LEFT_RIGHT = 0 FLIP_TOP_BOTTOM = 1 """ ABSTRACT Segmentations come in either: 1) Binary masks 2) Polygons ...
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import torch import torch.nn.functional as F import argparse, time, datetime, shutil import sys, os, glob, json, random import warnings warnings.filterwarnings("ignore") import numpy as np import pandas as pd import networkx as nx from scipy.sparse import csr_matrix, lil_matrix, save_npz, load_npz from sklearn.metrics...
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from functools import partial import logging import numpy as np import torch import torch import math from torch import nn import torch.nn.functional as F from .resample import resample from .fno_block import FNOBlocks from .spectral_convolution import SpectralConv einsum_symbols = "abcdefghijklmnopqrstuvwxyzABCDEFGHI...
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""" File: visualiser.py Created: 2020/06/29 Last Changed: 2021/10/19 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 vers...
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#!/usr/bin/python #################################################################################################### # Copyright (c) 2016 - 2020, EPFL / Blue Brain Project # Author(s): Marwan Abdellah <marwan.abdellah@epfl.ch> # # This file is part of VessMorphoVis <https://github.com/BlueBrain/VessMorphoVis> # # Thi...
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import matplotlib.pyplot as plt import numpy as np import scipy.stats as stats import scipy.optimize as optimize from scipy.special import erfc, erfcinv import joblib import torch from torch import nn from net_utils import load_from_file from data import generate_recog_data, recog_chance def plot_loss_acc(net, chanc...
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import torch import torch.nn as nn import numpy as np from numpy.polynomial.legendre import Legendre import warnings from pathlib import Path import tensorly as tl class FourierContinuation(nn.Module): """Base class for Fourier Continuation implementations. Fourier Continuation is a technique for extending n...
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import logging import math from collections import defaultdict from dataclasses import dataclass from enum import Enum from typing import Iterable, Tuple, List, Union, Optional, Iterator from oaklib.datamodels import obograph from oaklib.datamodels.similarity import TermPairwiseSimilarity from oaklib.implementations.s...
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import numpy as np import scipy.linalg as lin import h5py import pandas as pd import os from FBEM.various import path_to_string, Path # Read input file def read_tolerance(folder): ''' read the 7nth thing from a line, replace D with E (e.g. in "0.1D-1"), transform to a float ''' with open(os.path.join(...
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#%% Imports from operator import itemgetter import matplotlib.pyplot as plt import numpy as np import pandas as pd import seaborn as sns from graspy.cluster import GaussianCluster, KMeansCluster from graspy.embed import AdjacencySpectralEmbed, LaplacianSpectralEmbed, OmnibusEmbed from graspy.models import DCSBMEstimat...
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"""Generate a QC summary HTML report from the pipeline's QC files. The report is a table with one row per session, holding the numbers each step saves (bad segments, MNI registration, coregistration error, ...), next to the QC plots of the selected session. Sort the table by a metric to see the worst sessions first. O...
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class PQNModel: # available mode list MODE_LIST=['RSexci', 'RSinhi', 'FS', 'LTS', 'IB', 'EB', 'PB', 'Class2'] # init def __init__(self, mode='RSexci'): self.PARAM={} self.Y={} self.state_variable_v=0 self.state_variable_n=0 self.state_variable_q=0 self.st...
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#!/usr/bin/env python3 """ File: compare_bulk_and_sn_zscores_with_decon.py Created: 2020/11/04 Last Changed: 2020/12/16 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 pub...
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#!/usr/bin/env python # 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>. """Multi-camera rig throughput benchmark with a two-pass video recording. Pa...
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# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # NO CHECKED-IN PROTOBUF GENCODE # source: nre/grpc/protos/sensorsim.proto # Protobuf Python Version: 5.29.0 """Generated protocol buffer code.""" from google.protobuf import descriptor as _descriptor from google.protobuf import descrip...
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#! /usr/bin/env python # -*- coding: utf-8 -*- """ Implementation of nipype interfaces for QUIT utilities. Requires that the QUIT tools are in your your system path """ from json import dump, loads from os import path from nipype.interfaces.base import CommandLine, TraitedSpec, File, traits, isdefined from . import ...
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""" This benchmark compares the performance of different models in predicting tissue based on gene expression """ import argparse import copy import json import os from typing import Tuple import optuna import sklearn.metrics import torch import yaml import utils import datasets import models # Note, the arguments w...
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# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. import os from yacs.config import CfgNode as CN # ----------------------------------------------------------------------------- # Convention about Training / Test specific parameters # ------------------------------------------------------------...
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""" MEG: Preprocessing, Source Reconstruction, Parcellation ======================================================= This tutorial walks through the full MEG processing pipeline step by step: 1. Preprocessing — Filter, downsample, detect bad segments/channels, ICA artefact rejection. 2. Surface Extraction — Extract sk...
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import os import sys import numpy as np import pyqtgraph as pg import pyqtgraph.functions as fn from PyQt5.QtWidgets import * from PyQt5.QtGui import * from PyQt5.QtCore import * import cv2 from .wtiles import * btm_style = ''' QPushButton { border : None; background: transparent; margin: 0px; pad...
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"""Provides various functions related to GROMACS. NOTE: Functions are only tested for specific applications. """ #TODO cleanup from math import floor from contextlib import suppress from bisect import bisect_left, bisect_right import functools import os import core.system as system #import u...
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#!/usr/bin/env python # Interface to an annotation .gtf file (e.g., GENCODE). import os import sys import re # for regular expressions import cPickle as pickle from tt_log import logger VERSION = '20150611.01' logger.debug('version %s loaded' % VERSION) class Annotation (object): def __i...
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import torch import torch.nn.functional as F from torch_geometric.datasets import Reddit from torch_geometric.data import ClusterData, ClusterLoader, Data from torch_geometric.nn import SAGEConv, GCNConv import argparse, time, datetime, shutil import sys, os, glob, json import warnings warnings.filterwarnings("ignore...
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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 from datetime import datetime from tensorflow.keras.callbacks import ModelCheckpoint, TensorBoard, EarlyStopping, ReduceLROnPl...
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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 configparser import pathlib import random as rng import sys import matplotlib.cm as cm import matplotlib.pyplot as plt import numpy as np import SimpleITK as sitk seedValue = rng.randrange(sys.maxsize) rng.seed(seedValue) DEFAULT_MODALITY_NAMES = { "T2W": "T2W", "ADC": "ADC", "HBV": "HBV", } PROJ...
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# Time-stamp: <2024-10-11 10:28:07 Tao Liu> """Description: Call variants directly Copyright (c) 2017-2023 Tao Liu <vladimir.liu@gmail.com> This code is free software; you can redistribute it and/or modify it under the terms of the BSD License (see the file COPYING included with the distribution). @status: release ...
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""" The BatchSequence class implements the primary mode of access to batches of sampled data from a list of SleepStudy objects. See docstring below. """ import logging import numpy as np from utime.sequences.base_sequence import BaseSequence, requires_all_loaded from psg_utils.errors import MarginError logger = logg...
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#################################################################################################### # Copyright (c) 2021, 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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#%% [markdown] ## Maggot embedding alignment # > Investigating alignments of the maggot data embeddings # # - toc: false # - badges: false # - categories: [pedigo, graspologic, maggot] # - hide: false # - search_exclude: false # %% # collapse import os import pprint import time import matplotlib.pyplot as plt import n...
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""" Copyright 2020 - by Jerome Tubiana (jertubiana@gmail.com) All rights reserved Permission is granted for anyone to copy, use, or modify this software for any uncommercial purposes, provided this copyright notice is retained, and note is made of any changes that have been made. This softwar...
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from __future__ import absolute_import from __future__ import division from builtins import next from builtins import zip from builtins import map from builtins import range from past.utils import old_div from builtins import object import itertools as it import multiprocessing import warnings import numpy as np try: ...
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import torch import numpy as np import torch.nn as nn import torch.nn.functional as F from ..layers.spectral_convolution import SpectralConv from ..layers.fno_block import FNOBlocks from ..layers.complex import cselu class RNOCell(nn.Module): """N-Dimensional Recurrent Neural Operator cell. The RNO cell takes in...
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#!/usr/bin/env python3 """ File: comnpare_cf_predictions.py Created: 2021/11/22 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 Softwa...
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""" Copyright 2020 - by Jerome Tubiana (jertubiana@gmail.com) All rights reserved Permission is granted for anyone to copy, use, or modify this software for any uncommercial purposes, provided this copyright notice is retained, and note is made of any changes that have been made. This softwar...
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""" Mask R-CNN Display and Visualization Functions. Copyright (c) 2017 Matterport, Inc. Licensed under the MIT License (see LICENSE for details) Written by Waleed Abdulla """ import os import sys import random import itertools import colorsys import numpy as np from skimage.measure import find_contours import matplo...
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from warnings import warn import matplotlib.pyplot as plt import numpy as np import numba as nb from scipy import signal from .Tools import timeToIndex, raiseExpectedGot class Trace: """ An experiments includes many experimental traces. A Trace contains the experimental data acquired during a single cu...
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"""A recipe example for preprocessing Finnish parliament transcripts to a kaldi text file.""" import re from pathlib import Path from typing import Any from typing import Dict from typing import List from typing import Match from typing import Tuple import aalto_asr_preprocessor.fi.numbers.expansion as num_fi SUFFIX...
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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 logging import time from abc import abstractmethod from collections import OrderedDict, defaultdict from itertools import cycle from typing import List import anndata import numpy as np import torch from sklearn.model_selection._split import _validate_shuffle_split from torch.utils.data.sampler import SubsetRan...
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# cython: language_level=3 # Time-stamp: <2024-10-24 15:20:26 Tao Liu> """Module Description: Detect peaks, main module This code is free software; you can redistribute it and/or modify it under the terms of the BSD License (see the file LICENSE included with the distribution). """ # ---------------------------------...
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import argparse import os import sys from types import ModuleType from typing import Dict from typing import Tuple from typing import Union import numpy as np import pandas as pd import SimpleITK as sitk import tensorflow as tf from tensorflow.keras.models import load_model import PrognosAIs.Constants import Progno...
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import numpy as np import torch from slideflow.clam.utils import * import os from slideflow.clam.datasets.dataset_generic import save_splits from slideflow.clam.models.model_mil import MIL_fc, MIL_fc_mc from slideflow.clam.models.model_clam import CLAM_MB, CLAM_SB from sklearn.preprocessing import label_binarize from s...
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# Copyright 2020-2022 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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# %% [markdown] # ## import os import warnings import matplotlib as mpl import matplotlib.gridspec as gridspec import matplotlib.pyplot as plt import numpy as np import pandas as pd import seaborn as sns from scipy.stats import poisson from sklearn.exceptions import ConvergenceWarning from sklearn.manifold import MDS,...
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#!/usr/bin/python # # Copyright (c) 2017-2020 Intel Corporation # # Helper script for code formatting using clang-format-3.9 and autopep import argparse import filecmp import os import re import sets import subprocess import sys from termcolor import cprint SCRIPT_VERSION = "1.3" class CodeFormatter: def __in...
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#coding=utf-8 from __future__ import absolute_import from __future__ import division from __future__ import print_function import math import nltk import os import random import sys import time import json import numpy as np from six.moves import xrange # pylint: disable=redefined-builtin import tensorflow as tf ...
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import difflib import json from datetime import datetime, timedelta import polars as pl import multiqc from multiqc.core import tmp_dir from multiqc.core.plot_data_store import flush_to_parquet from multiqc.core.special_case_modules.load_multiqc_data import create_plot_input_data_only from multiqc.core.update_config ...
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"""Job scheduler: per-backend FIFO with priority, one job per worker, one job per GPU. The loop wakes on every submission/cancellation/worker-state change (or once a second), and for every idle worker claims the best queued job among the backends that worker serves: ``interactive`` before ``batch``, then oldest first....
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""" ================================================= Making videos the different stages of tractometry ================================================= Two-dimensional figures of anatomical data are somewhat limited, because of the complex three-dimensional configuration of the brain. Therefored, dynamic videos of a...
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""" Core functions for scHumanNet analysis. This module contains the main functions for cell-type-specific network analysis, including centrality calculations, hub gene identification, and differential network analysis. """ import numpy as np import pandas as pd import networkx as nx from scipy import stats from skle...
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# Copyright 2016 The TensorFlow Authors. All Rights Reserved. # Modifications Copyright 2017 Abigail See # Modifications Copyright 2018 Arman Cohan # # 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 Licens...
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import math import random import torch from torch import nn from torch.nn import functional as F from model.stylegan2.op import FusedLeakyReLU, fused_leaky_relu, upfirdn2d class PixelNorm(nn.Module): def __init__(self): super().__init__() def forward(self, input): return input * torch.rsqrt...
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import argparse import time import os import csv import json import numpy as np import pandas as pd import random import shutil import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim import torch.backends.cudnn as cudnn import matplotlib.pyplot as plt from skimage.metrics import...
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"""Change Handler Class.""" from dataclasses import dataclass from typing import Dict, List from kgcl_schema.datamodel.kgcl import Change @dataclass class ChangeHandler: def __init__(self, oi, file): self.file = file self.oi = oi def write_markdown_collapsible(self, title: str, content_line...
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# # Copyright (c) 2018 Institute for Basic Science # # 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, including without limitation the rights # to use, copy, modify, merge...
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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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import json import os import re from nltk.tokenize import word_tokenize, sent_tokenize from nltk.corpus import stopwords import pandas as pd import argparse from util import files_in_dir from ArticleDataSample import CommonSectionNames class DataCreator: """ A class for converting json files of scientific pa...
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#%% [markdown] # # Joint embedding of connectivity and morphology # > Here I try to accomplish this on the maggot data using the MASE approach. # # - toc: true # - badges: true # - categories: [pedigo, maggot, graspologic] # - hide: false # - search_exclude: false #%% # collapse import logging import os import time fro...
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import logging import re from dataclasses import dataclass from typing import ( Any, Dict, Iterable, Iterator, List, Mapping, Optional, TextIO, Tuple, Union, ) from kgcl_schema.datamodel import kgcl from pydantic import BaseModel from oaklib.datamodels.search import SearchConfi...
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import itertools import logging import os.path as osp import tempfile import mmcv import numpy as np from mmcv.utils import print_log from pycocotools.coco import COCO from pycocotools.cocoeval import COCOeval from terminaltables import AsciiTable from mmdet.core import eval_recalls from .builder import DATASETS from...
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import numpy as np import torch import torch.nn as nn import tqdm import time from typing import Optional from torch_geometric.utils import k_hop_subgraph from torch_geometric.data import Data from torch_geometric.nn import GCNConv, GINConv from graphxai.explainers._base import _BaseExplainer from graphxai.utils impo...
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#################################################################################################### # Copyright (c) 2019 - 2023, 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 ...