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from __future__ import annotations import math from typing import Any from typing import NamedTuple from typing import TYPE_CHECKING import numpy as np from optuna._warnings import optuna_warn from optuna.logging import get_logger from optuna.study import Study from optuna.study import StudyDirection from optuna.tri...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Jun 14 18:54:43 2022 @author: sudhanshu CAPSIF:G PDB utility files """ # -*- coding: utf-8 -*- import os import time import numpy as np from Bio.PDB.Polypeptide import index_to_one import pandas as pd from sklearn.linear_model import LinearRegression ...
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# Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 from __future__ import annotations import numpy as np from onnx import ( AttributeProto, FunctionProto, GraphProto, ModelProto, NodeProto, SparseTensorProto, TensorProto, ) from onnx.helper import ( make_a...
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"""InceptionTime Classifier in PyTorch.""" __authors__ = ["Faakhir30"] __all__ = ["InceptionTimeClassifierTorch"] from collections.abc import Callable import numpy as np from sktime.classification.deep_learning.base import BaseDeepClassifierPytorch from sktime.networks.inceptiontime import InceptionTimeNetworkTorch...
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import logging import os import qt import slicer from typing import Callable from ElastixLib.utils import getContentSuffixes from ElastixLib.database import BuiltinElastixDatabase, UserElastixDataBase, InSceneElastixDatabase from ElastixLib.preset import * class BlockSignals: def __init__(self, elements): self....
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# Copyright 2019 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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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Jun 14 18:52:20 2022 @author: sudhanshu """ #!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri Apr 29 14:05:48 2022 @author: sudhanshu """ import numpy as np import matplotlib.pyplot as plt import sys import os from Bio.SeqUtils import s...
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from __future__ import print_function from neuron import h from ..util import nstomho from ..util import Params import numpy as np from .cell import Cell from .. import synapses from .. import an_model from .. import data __all__ = ['SGC', 'SGC_TypeI', 'DummySGC'] class SGC(Cell): scaled = False @classm...
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import subprocess import math import sys import argparse #https://docs.python.org/2/library/argparse.html import json import time import datetime import os import re import nibabel as nib import numpy as np from pathlib import Path #import resource _HONE_=str(Path.home()) sys.path.append(_HONE_+"/pipeline_passwd/") fr...
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# Copyright 2019 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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# copyright: sktime developers, BSD-3-Clause License (see LICENSE file) """Registry of mtypes and scitypes. Note for extenders: new mtypes for an existing scitype should be entered in the _registry in the module with name _[scitype]. When adding a new scitype, add a new Scitype class in datatypes/_[scitype]/_base....
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# SPDX-License-Identifier: LGPL-3.0-or-later import os import unittest from contextlib import ( ExitStack, nullcontext, ) from unittest import ( mock, ) import numpy as np import torch from deepmd.pt.utils.auto_batch_size import ( AutoBatchSize, ) from deepmd.utils.batch_size import ( RetrySignal,...
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"""A shapelet transform classifier (STC). Shapelet transform classifier pipeline that simply performs a (configurable) shapelet transform then builds (by default) a rotation forest classifier on the output. """ __author__ = ["TonyBagnall", "MatthewMiddlehurst"] __all__ = ["ShapeletTransformClassifier"] import numpy ...
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#!/usr/bin/env python # -*- coding: utf-8 -*- """GluonTS-compatible predictor for Tabby-Pretrain. Usage: from tabby.predictor import PatchTSTFMPredictor predictor = PatchTSTFMPredictor( checkpoint="/path/to/step_0165000", prediction_length=96, device="cuda:0", ) forecasts = p...
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''' The generator populates the first generation with a set of rotamers based on the selection in the input file .. codeauthor:: Nicholas Browning .. codeauthor:: Simon Duerr dev@simonduerr.eu ''' from __future__ import print_function from __future__ import absolute_import # Import modules from builtins import range ...
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import numpy as np import argparse import os import re import random import multiprocessing from rdkit import Chem from tqdm import tqdm from rdkit import RDLogger RDLogger.DisableLog('rdApp.*') # Get the mapping numbers in a SMARTS. def get_idx(smarts_item): item = re.findall('(?<=:)\d+', smarts_item) ite...
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# !/usr/bin/env python3 -u # copyright: sktime developers, BSD-3-Clause License (see LICENSE file) """Implements adapter for pmdarima forecasters to be used in sktime framework.""" __author__ = ["mloning", "hyang1996", "kejsitake", "fkiraly"] __all__ = ["_PmdArimaAdapter"] import pandas as pd from sktime.datatypes._...
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# SPDX-License-Identifier: LGPL-3.0-or-later import copy import json import os import tempfile import unittest import warnings from unittest import ( mock, ) import torch from packaging.version import parse as parse_version from deepmd.pt.loss import ( EnergySpinLoss, ) from deepmd.pt.model.model import ( ...
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import importlib.util import warnings import pytest import torch from PIL import Image from transformers.utils import is_detectron2_available from flair.data import BoundingBox, Dictionary, Sentence from flair.embeddings import TransformerJitWordEmbeddings, TransformerWordEmbeddings from flair.models import SequenceT...
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import numpy as np import random from stratego_env import StrategoMultiAgentEnv, ObservationComponents from stratego_env.game.stratego_procedural_impl import SP, StateLayers from mprl.barrage_agent_api.create_initial_state import STRATEGO_ENV_BARRAGE_INTERFACE_CONFIG, P2SRO_AGENT_PLAYER_ID, \ OUTSIDE_AGENT_PLAYER...
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# coding=utf-8 # Copyright 2018 The Google AI Language Team 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 req...
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# coding=utf-8 # Copyright (C) 2021. Huawei Technologies Co., Ltd. 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 # # ...
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# Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 from __future__ import annotations import locale import platform import pytest import onnx from onnx import GraphProto, OperatorSetIdProto, TensorProto, checker class TestBasicFunctions: def check_graph(self, graph: GraphProto) ->...
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# copyright: sktime developers, BSD-3-Clause License (see LICENSE file) """Mixin with pretrain state logic shared by estimator base classes.""" __author__ = ["SimonBlanke", "srupat"] from collections import defaultdict from skbase.base import BaseObject from skbase.base._clone_base import _check_clone, _clone from ...
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# Copyright 2023 The TensorFlow Authors. 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 applica...
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import argparse from tqdm import tqdm from torch.utils.data import DataLoader from torch.optim.lr_scheduler import MultiStepLR from data import * from model.gat import * from util.misc import CSVLogger import random import torch import numpy as np import os from typing import Optional parser = argparse.ArgumentParse...
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# Copyright (c) OpenMMLab. All rights reserved. from numbers import Number import numpy as np import torch from math import sqrt from scipy.special import ndtri from sklearn.metrics import confusion_matrix as cfm from sklearn.metrics import ConfusionMatrixDisplay import matplotlib.pyplot as plt import seaborn as sns ...
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#!/usr/bin/env python #------------------------------------------------------------------------------- # test/run_readelf_tests.py # # Automatic test runner for elftools & readelf # # Eli Bendersky (eliben@gmail.com) # This code is in the public domain #------------------------------------------------------------------...
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from __future__ import print_function from neuron import h from ..util import nstomho from ..util import Params import numpy as np from .cell import Cell from .. import data from .. import synapses __all__ = ['Cartwheel', 'CartwheelDefault'] class Cartwheel(Cell): celltype = 'cartwheel' scaled = False ...
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# Copyright 2026 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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# Copyright 2026 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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import argparse from email.policy import default import numpy as np import torch def get_bool(arg: argparse.Namespace) -> bool: """Parse boolean from input string. Adapted from https://stackoverflow.com/questions/15008758/parsing-boolean-values-with-argparse """ if isinstance(arg, bool): retur...
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# Copyright 2019 DeepMind Technologies Ltd. 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 appl...
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# Copyright 2019 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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"""Contextual Time-series Neural Classifier for TSC.""" __all__ = ["CNTCClassifier"] from copy import deepcopy from sklearn.utils import check_random_state from sktime.classification.deep_learning.base import BaseDeepClassifier from sktime.networks.cntc import CNTCNetwork class CNTCClassifier(BaseDeepClassifier): ...
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"""Utility functions for clusterings and embeddings """ from __init__ import * # from sklearn.decomposition import PCA import igraph as ig from scipy import sparse from annoy import AnnoyIndex from umap import UMAP import leidenalg from basic_utils import create_logger # major change in annoy functions 5/7/2019 def...
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import numpy as np from matplotlib import pyplot as plt from scipy import linalg from numba import jit, njit, float32, float64, uint, vectorize np.seterr(all='warn') import warnings def calculate_ss(x_bar, s_bar, b, m, p): """Calculates the required second order expectations Parameters ---------- x_...
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#!/usr/bin/env python # -*- coding: utf-8 -*- """ test_face_recognition ---------------------------------- Tests for `face_recognition` module. """ import unittest import os import numpy as np from click.testing import CliRunner from face_recognition import api from face_recognition import face_recognition_cli fro...
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import multiprocessing as mp import os from itertools import product from typing import Any, Callable, Optional, Union import numpy as np from scipy.spatial import Voronoi from sklearn.preprocessing import OneHotEncoder from torch import from_numpy, long, tensor, where from torch_geometric.data import Data, InMemoryD...
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"""Save data as Numoy array""" import os from datetime import datetime, timedelta import pickle import numpy as np import pandas as pd from timeflux.core.node import Node from timeflux.helpers.port import get_meta, match_events from timeflux.nodes_dev.helpers import get_dict_keys_by_start # Statuses IDLE = 0 ACCUMU...
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import os import logging import csv import requests from pathlib import Path import pandas as pd from template_generation_utils import read_csv, read_csv_to_dict, read_taxonomy_details_yaml, index_dendrogram from dendrogram_tools import dend_json_2_nodes_n_edges GENE_DB_PATH = os.path.join(os.path.dirname(os.path.rea...
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"""MLP (Multi-Layer Perceptron) Classifier for Time Series Classification in PyTorch.""" __authors__ = ["RecreationalMath"] __all__ = ["MLPClassifierTorch"] from collections.abc import Callable import numpy as np from sktime.classification.deep_learning.base import BaseDeepClassifierPytorch from sktime.networks.mlp...
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from __future__ import division import os import numpy as np import pandas as pd import pylab as plt import seaborn as sns from scipy.fftpack import fft from helper_lib import filelib class TimeSpectrum(object): """ Class for storing and handling the dynamics of SPHARM spectrum of a cell. """ def _...
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# SPDX-License-Identifier: LGPL-3.0-or-later """ Environment-variable gates for the SeZM/DPA4 hardware-accelerated kernels. This module centralizes the opt-in selectors that route inference and training through the custom Triton, CuTe, CUDA and CPU kernel packages. The gates are read once at model construction time so...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Jun 14 18:52:20 2022 @author: sudhanshu Usage: python preprocess.py Returns: Changes files from ../dataset/[test,test_af,val,train]/pdbs/*.pdb to ../dataset/[test,test_af,val,train]/g_npz/*.pdb.npz for all train/test protocols """ import numpy as np ...
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from os import stat from typing import Tuple, Union import torch import numpy as np from scipy import stats DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu") NUM_BINS = 81 # Number of bins for all histograms PLOT_FONT_SIZE = 14 def get_magnitude(p, gpu=True): """Get the momentum magnitude |p...
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# Copyright 2020 by Gongfan Fang, Zhejiang University. # All rights reserved. import torch import torch.nn.functional as F def _fspecial_gauss_1d(size, sigma): """Create 1-D gauss kernel Args: size (int): the size of gauss kernel sigma (float): sigma of normal distribution R...
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"""Time Recurrent Neural Network (RNN) for classification in PyTorch.""" __authors__ = ["RecreationalMath"] __all__ = ["SimpleRNNClassifierTorch"] from collections.abc import Callable import numpy as np from sktime.classification.deep_learning.base import BaseDeepClassifierPytorch from sktime.networks.rnn import RN...
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# Copyright 2019 DeepMind Technologies Ltd. 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 appl...
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""" Plot the impedances as seen from the soma for VCN cells for different dendritic configurations Assumes that the analysis has already been done, and that the location of that data is given in the 'wheres_my_data.toml' file Generates: Figure3_Supplemental3_Zin.pdf This module is part of *vcnmodel*. Support:: N...
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from __future__ import division import numpy as np import matplotlib.pyplot as plt from matplotlib.colors import LinearSegmentedColormap # Lots of different places that widgets could come from... try: from ipywidgets import interact, FloatSlider, IntSlider except ImportError: import warnings # ignore ShimW...
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""" This includes: LossComputeBase and the standard NMTLossCompute, and sharded loss compute stuff. """ from __future__ import division import torch import torch.nn as nn import torch.nn.functional as F import onmt from onmt.modules.sparse_losses import SparsemaxLoss from onmt.modules.sparse_activations...
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from rdkit import Chem import os import argparse from tqdm import tqdm import multiprocessing import pandas as pd from rdkit import RDLogger import re lg = RDLogger.logger() lg.setLevel(RDLogger.CRITICAL) def smi_tokenizer(smi): pattern = "(\[[^\]]+]|Br?|Cl?|N|O|S|P|F|I|b|c|n|o|s|p|\(|\)|\.|=|#|-|\+|\\\\|\/|:|~|...
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"""Dynamic time warping distance, from dtaidistance.""" __author__ = ["fkiraly"] import numpy as np from sktime.dists_kernels.base import BasePairwiseTransformerPanel class DtwDtaidistUniv(BasePairwiseTransformerPanel): """Univariate dynamic time warping distance, from dtaidistance. Direct interface to ``...
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"""CLI entry points for bcblib.imaging (``bcb-info``, ``bcb-stats``, etc.).""" import argparse import json import os import sys from pathlib import Path # ----------------------------------------------------------------------- # Terminal styling helpers # -------------------------------------------------------------...
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""" @file: train_cli_util.py Created on 10.11.23 @project: CrazyAra @author: queensgambit Provides utility functions for train_cli.py. """ import logging import os import sys import shutil import numpy as np from pathlib import Path import glob # Pytorch imports import torch from fvcore.nn import flop_count_table fro...
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import torch import math import torch.nn as nn import torch.nn.functional as F from torchvision import models class LTE(torch.nn.Module): def __init__(self, requires_grad=True, rgb_range=1): super(LTE, self).__init__() vgg_firstlayer = models.vgg19(pretrained=True).features[0] ...
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#!/usr/bin/env python import click from functools import partial from fastcluster import linkage import json from multiprocessing import Pool import numpy as np import os import pandas as pd from scipy.cluster.hierarchy import fcluster import sys sys.path.insert(0, os.path.join(os.path.dirname(sys.argv[0]), os.pardir)...
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# Copyright 2026 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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#!/usr/bin/env python __doc__ = """ 3D Vector class. Modified from the vec3d class on the pygame wiki site. http://pygame.org/wiki/3DVectorClass Kisuk Lee <kisuklee@mit.edu>, 2017 """ import math import operator class Vec3d(object): """ 3d vector class, supports vector and scalar operators, and also p...
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import pytest from test.common import _TestNeuronsBase, pyel, tel from neurondm.core import UnionOf, IntersectionOf, IntersectionOfPartOf ''' class TestNeurons(_TestNeuronsBase): # TODO make sure this runs after cli test? it should ... # but then we need to keep the output of ndl around def test_load_exist...
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""" Command line interface for corset-tools. Exposes the four helper tools as subcommands of a single ``corset-tools`` entry point. Each subcommand is a thin wrapper that validates arguments and delegates to a ``run_*`` function, so the underlying logic stays importable and testable without click. """ import logging ...
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"""Hierarchical Vote Collective of Transformation-based Ensembles (HIVE-COTE) V2. Upgraded hybrid ensemble of classifiers from 4 separate time series classification representations, using the weighted probabilistic CAWPE as an ensemble controller. """ __author__ = ["MatthewMiddlehurst"] __all__ = ["HIVECOTEV2"] from...
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# -*- coding: utf-8 -*- """ Created on Thu December 10 11:41:02 2022 @author: Pawan Panwar, Quanpeng Yang, Ashlie Martini PyL3dMD: Python LAMMPS 3D Molecular Dynamics/Descriptors Copyright (C) 2022 Pawan Panwar, Quanpeng Yang, Ashlie Martini This file is part of PyL3dMD. PyL3dMD is free software: you ...
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from typing import Optional, Tuple import numpy as np import torch from torch import Tensor, nn from torch_geometric.nn import MessagePassing from torch_scatter import scatter from models.torchmdnet_utils import ( NeighborEmbedding, CosineCutoff, Distance, GatedEquivariantBlock, rbf_class_mapping, ...
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#!/usr/bin/env python __doc__ = """ 3D Vector class. Modified from the vec3d class on the pygame wiki site. http://pygame.org/wiki/3DVectorClass Kisuk Lee <kisuklee@mit.edu>, 2017 """ import math import operator __all__ = ['Vec3d', 'minimum', 'maximum'] class Vec3d(object): """ 3d vector class, supports ...
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# Copyright 2026 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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import os import pickle from build_cell_grid import build_cell_grid os.environ["OPENCV_IO_MAX_IMAGE_PIXELS"] = str(pow(2, 140)) import PIL.Image as Image import cv2 import ipywidgets as widgets import numpy as np from IPython.display import display, Markdown, Javascript, HTML import pandas as pd from allensdk.core.m...
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"""E-Agglo: agglomerative clustering algorithm that preserves observation order.""" import warnings from collections.abc import Callable import numpy as np import pandas as pd from scipy.spatial.distance import cdist from sktime.transformations.base import BaseTransformer __author__ = ["KatieBuc"] __all__ = ["EAggl...
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# Copyright (c) ONNX Project Contributors # # SPDX-License-Identifier: Apache-2.0 from __future__ import annotations __all__ = [ # Constants "ONNX_ML", "IR_VERSION", "IR_VERSION_2017_10_10", "IR_VERSION_2017_10_30", "IR_VERSION_2017_11_3", "IR_VERSION_2019_1_22", "IR_VERSION_2019_3_18"...
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# Copyright 2026 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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#!/usr/bin/env python """ This code handles the coloring of the orthlogs in a rbh file. There are a few ways to do this. The first way is to just color the proteins based on their protein IDs. If the protein ID matches the protein ID of the model, then just give the the color specified in the model. This requires det...
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"""Relation computation for ParaDime. The :mod:`paradime.relations` module defines various classes used to compute relations between data points. """ from typing import Union, Callable, Optional import warnings import torch import torch.nn.functional as F import pynndescent from scipy.spatial import distance from p...
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"""Fixed-protocol source-selected improvement; external labels only enter evaluation.""" from __future__ import annotations import argparse import copy import json import time from pathlib import Path import numpy as np import pandas as pd import torch from scipy import sparse from .conservative_model import (Conser...
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"""ConvTimeNet (PyTorch) classifier for time series classification.""" __authors__ = ["Tanuj-Taneja1"] __all__ = ["ConvTimeNetClassifier"] from collections.abc import Callable import numpy as np from sktime.classification.deep_learning.base import BaseDeepClassifierPytorch from sktime.networks.convtimenet import Co...
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import h5py import numpy as np from collections import OrderedDict class StimulusFile: """ A class to read and write stimulus file """ def __init__(self, fname): """ Parameters ---------- fname : str pre-designed .stim.csv file. Format...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # Copyright © 2013 Charles E. Vejnar # # This Source Code Form is subject to the terms of the Mozilla Public # License, v. 2.0. If a copy of the MPL was not distributed with this # file, You can obtain one at https://www.mozilla.org/MPL/2.0/. # """Demultiplex sequencin...
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"""Utilities for downloading datasets.""" __author__ = ["jgyasu"] __all__ = ["DatasetDownloader"] import os import shutil import tempfile import warnings import zipfile from pathlib import Path from urllib.error import HTTPError, URLError from urllib.request import urlretrieve from skbase.base import BaseObject fro...
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""" Input preprocessing for PatchTST-FM pretraining. Available utilities include: - make_cpm_prediction_mask: create prediction masks for the CPM-style pretraining objective. - mask_aware_normalize: compute mean/std from visible real values and apply asinh normalization while zeroing out all masked positions. """ ...
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# Copyright 2007 Zachary Pincus # This file is part of CellTool. # # CellTool is free software; you can redistribute it and/or modify # it under the terms of version 2 of the GNU General Public License as # published by the Free Software Foundation. import numpy def distance(a, b): """Return the euclidian distanc...
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# Copyright 2019-2026 The AmpliGraph Authors. All Rights Reserved. # # This file is Licensed under the Apache License, Version 2.0. # A copy of the Licence is available in LICENCE, or at: # # http://www.apache.org/licenses/LICENSE-2.0 # import glob import logging import os import pickle import shutil from time impo...
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import pytest import pandas as pd import numpy as np import warnings import scanpy as sc from anndata import AnnData from pandas.testing import assert_frame_equal, assert_series_equal from palantir.validation import ( _validate_obsm_key, _validate_varm_key, _validate_gene_trend_input, normalize_cell_id...
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# Copyright 2019 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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import os import copy import logging import numpy as np import scipy as sp import scipy.spatial import pandas as pd import torch from torch.utils.data import Dataset, DataLoader from atom3d.datasets import LMDBDataset, extract_coordinates_as_numpy_arrays from utils import batch_stack, drop_zeros class CormorantDatase...
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# copyright: sktime developers, BSD-3-Clause License (see LICENSE file) """Implements Aurora for forecasting.""" __all__ = ["AuroraForecaster"] import contextlib import io import numpy as np import pandas as pd from skbase.utils.dependencies import _check_soft_dependencies from sktime.forecasting.base import BaseFo...
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# Copyright 2019 DeepMind Technologies Ltd. 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 appl...
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# Copyright 2026 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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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Thu Aug 12 16:04:19 2021 Load up and plot spatial results @author: robert.mok """ import os import sys import numpy as np import torch import itertools as it from scipy.stats import binned_statistic_dd import matplotlib.pyplot as plt import pandas as pd ...
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# this program calculates the binary filtering of UMLS concept extraction from the 'for validation - SemEHR ori.xlsx' sheet. from sklearn.metrics import precision_score, recall_score, f1_score, confusion_matrix import numpy as np import pandas as pd import sys # input gold labels and pred labels # display pre...
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#!/usr/bin/env python # coding: utf-8 """ Python module for plotting results from the Partial Least Square Correlation analyses (from the myPLS MATLAB toolbox) Run as: python Visualize/plot_PLSC.py """ import numpy as np import pandas as pd import os.path as op import matplotlib.pyplot as plt from matplotlib imp...
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# -*- coding: utf-8 -*- # from __future__ import print_function import torch import torch.nn as nn import torch.optim as optim import torch.backends.cudnn as cudnn import torchvision.transforms as transforms import torchvision.datasets as datasets import argparse import JH_utile # import JH_DataAug import JH_net_par...
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from typing import Tuple, Union import torch import numpy as np from scipy import stats DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu") NUM_BINS = 81 # Number of bins for all histograms PLOT_FONT_SIZE = 12 def get_magnitude(p, gpu=True): """Get the momentum magnitude |p| of the 4-vector. ...
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# SPDX-License-Identifier: LGPL-3.0-or-later """Test LAMMPS with a .pt2 DPA4C model that carries a long-range module. The latent-charge module sums over every pair of atoms of a complete non-periodic system, and over the images of the cell of a periodic one when it serves periodic systems, so ``pair_style deepmd`` run...
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import rdflib from ontquery import OntCuries from pyontutils import combinators as cmb from pyontutils.core import OntId, OntTerm as OntTermBase, OntGraph from pyontutils.namespaces import ilxtr from pyontutils.closed_namespaces import rdf, rdfs, owl neurdf = rdflib.Namespace(str(ilxtr) + 'neurdf/') _current_collect...
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from __future__ import print_function __author__ = 'pbmanis' """ Decorator: A class to insert biophysical mechanisms into a model. This function attempts to automatically decorate a hoc-imported model set of sections with appropriate conductances. The class takes as input the object hf, which is an instance of morpho...
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# Copyright 2026 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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# Copyright 2019-2021 The AmpliGraph Authors. All Rights Reserved. # # This file is Licensed under the Apache License, Version 2.0. # A copy of the Licence is available in LICENCE, or at: # # http://www.apache.org/licenses/LICENSE-2.0 # #import tensorflow as tf import tensorflow.compat.v1 as tf import abc import lo...
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""" SWC File format from CNIC: n T x y z R P n is an integer label that identifies the current point and increments by one from one line to the next. T is an integer representing the type of neuronal segment, such as soma, axon, apical dendrite, etc. The standard accepted integer values are given below. 0 = undefine...
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from typing import Optional, Tuple, Union from utils.utils import make_dir import os.path as osp import numpy as np import torch import matplotlib.pyplot as plt import awkward as ak from coffea.nanoevents.methods import vector ak.behavior.update(vector.behavior) IMG_VMAX = 0.05 def plot_jet_image( p_target: np....
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from sklearn.neighbors import KernelDensity from scipy import signal from scipy.signal import argrelextrema import numpy as np import math from itertools import compress from typing import Tuple, List def sort_noise(timecourses: np.ndarray = None, lag1: np.ndarray = None, return_logpdf: ...