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""" Copyright (c) Meta Platforms, Inc. and affiliates. This source code is licensed under the MIT license found in the LICENSE file in the root directory of this source tree. ASE calculator wrapper for nvalchemiops DFT-D3(BJ) corrections. """ from __future__ import annotations import io import re import tarfile fro...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- # pylint: disable=broad-except # pylint: disable=invalid-name # pylint: disable=line-too-long # pylint: disable=multiple-statements # pylint: disable=too-many-lines #------------------------------------------------------------------------------- ''' This program imputes ...
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""" Copyright (c) Meta Platforms, Inc. and affiliates. This source code is licensed under the MIT license found in the LICENSE file in the root directory of this source tree. OMol Evaluation Recipes ======================== This module provides evaluation recipes for various molecular property tasks proposed in the ...
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# # CEBRA: Consistent EmBeddings of high-dimensional Recordings using Auxiliary variables # © Mackenzie W. Mathis & Steffen Schneider (v0.4.0+) # Source code: # https://github.com/AdaptiveMotorControlLab/CEBRA # # Please see LICENSE.md for the full license document: # https://github.com/AdaptiveMotorControlLab/CEBRA/bl...
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"""CellChat cell-cell communication inference (vendored pyCellChat, R-parity pipeline). ``run_cellchat`` reproduces the standard R CellChat workflow:: subsetData -> identifyOverExpressedGenes -> identifyOverExpressedInteractions -> computeCommunProb(type = "triMean") -> filterCommunication -> computeCommu...
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import sys import os sys.path.append(os.path.dirname(os.path.abspath(__file__))) import tensorflow as tf from tensorflow import keras from tensorflow.keras import layers import numpy as np tf.random.set_seed(1) import time import math import random from tensorflow.keras.models import load_model from model_layers import...
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from reval.best_nclust_cv import FindBestClustCV from reval.relative_validation import RelativeValidation from sklearn.model_selection import ParameterGrid import multiprocessing as mp import logging import numpy as np import itertools from sklearn.cluster import AgglomerativeClustering logging.basicConfig(format='%(...
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Python
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import networkx as nx import numpy as np import pandas as pd #import cvxpy as cvx cvx_install = False def cvxpy(): global cvx_install try: import cvxpy as cvx cvx_install=True except ImportError: raise ImportError( 'Please install the cvxpy: `pip install -...
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# -*- coding: utf-8 -*- #from __future__ import print_function """ Created on Mon Apr 4 15:32:35 2016 @author: fwinkler """ import numpy as np import re import os class WavimgPrm(object): """ Wavimg object that can be used to load, modify and save a wavimg parameter file for the Dr. Probe software pac...
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#################################################################################################### # Copyright (c) 2016 - 2024, EPFL / Blue Brain Project # Author(s): Marwan Abdellah <marwan.abdellah@epfl.ch> # # This file is part of NeuroMorphoVis <https://github.com/BlueBrain/NeuroMorphoVis> # # This program is fre...
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"""Hermetic test for the in-repo ``llms_txt`` Sphinx extension. Builds a tiny Sphinx project in a temp dir (in-process, no network, no Ray import) that exercises: * a toctree-structured index (``## Section`` per root toctree entry), * all three description sources (MyST ``html_meta``, RST ``.. meta::``, and the fir...
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#################################################################################################### # Copyright (c) 2016 - 2024, EPFL / Blue Brain Project # Author(s): Marwan Abdellah <marwan.abdellah@epfl.ch> # # This file is part of NeuroMorphoVis <https://github.com/BlueBrain/NeuroMorphoVis> # # This program is fre...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- # pylint: disable=broad-except # pylint: disable=invalid-name # pylint: disable=line-too-long # pylint: disable=multiple-statements # pylint: disable=too-many-lines #------------------------------------------------------------------------------- ''' This software has bee...
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import dataclasses import functools import logging import queue import threading import time from typing import ( Any, Callable, Generator, Generic, Iterator, List, Optional, Tuple, TypeVar, ) import ray from ray.actor import ActorHandle from ray.data._internal.batcher import Batche...
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# -*- coding: utf-8 -*- """ Created on Sat Mar 25 21:35:23 2023 @author: Leyang Xue """ import sys import matplotlib.pyplot as plt import numpy as np # Add package path packagepath = '../kcorePercolation' # Manually specify the path to your script sys.path.append(packagepath) from utils import kcorePercolation as kp...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- # pylint: disable=broad-except # pylint: disable=invalid-name # pylint: disable=line-too-long # pylint: disable=multiple-statements # pylint: disable=too-many-lines #------------------------------------------------------------------------------- ''' This program imputes ...
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import numpy as np import pandas as pd import more_itertools as mit import os import logging logger = logging.getLogger('telemanom') class Errors: def __init__(self, channel, config, run_id): """ Batch processing of errors between actual and predicted values for a channel. Args: ...
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# coding=utf-8 # Copyright 2023 The HuggingFace Inc. team. # # 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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# Copyright 2023 Zhejiang University Team and The HuggingFace Team. 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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from __future__ import print_function, unicode_literals, absolute_import, division from six.moves import range, zip from ..utils.tf import keras_import Input, Conv2D, Conv3D, MaxPooling2D, UpSampling2D, MaxPooling3D, UpSampling3D, Activation, Lambda, Add, Concatenate, BatchNormalization, Dropout \ = keras_import('...
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import numpy as np import pandas as pd import matplotlib.pyplot as plt from matplotlib import rcParams from .._registry import register_function def _build_upset_intersections(sets, min_size=1): names = list(sets.keys()) normalized = {name: set(values) for name, values in sets.items()} records = [] ...
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""" Callbacks for calculating scores.""" from contextlib import contextmanager from contextlib import suppress from functools import partial import warnings import numpy as np import sklearn from sklearn.metrics import make_scorer, check_scoring from skorch.callbacks import Callback from skorch.dataset import unpack...
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# coding=utf-8 # Copyright 2023 HuggingFace Inc. # # 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 ag...
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import json import logging from typing import List, Optional from aliyunsdkcore import client from aliyunsdkcore.acs_exception.exceptions import ClientException, ServerException from aliyunsdkecs.request.v20140526.AllocatePublicIpAddressRequest import ( AllocatePublicIpAddressRequest, ) from aliyunsdkecs.request.v...
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"""Rendering utils""" from typing import Literal, Optional, Tuple, Union import numpy as np import torch import torch.nn.functional as F from PIL import Image import flyvis def median( x: torch.Tensor, kernel_size: int, stride: int = 1, n_chunks: int = 10, ) -> torch.Tensor: """ Apply media...
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""" Copyright (c) Meta Platforms, Inc. and affiliates. This source code is licensed under the MIT license found in the LICENSE file in the root directory of this source tree. Genarris Output Processing and Initial Deduplication Module This module handles the complete processing pipeline for raw Genarris structure ge...
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# Copyright 2023 Google LLC # 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 # https://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writing, sof...
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Python
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import inspect import multiprocessing import os import socket from dataclasses import dataclass from functools import partial from typing import Callable, Optional, Union import torch.cuda import torch.distributed as dist import torch.multiprocessing as mp from batchgenerators.utilities.file_and_folder_operations impo...
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# Copyright (C) CVAT.ai Corporation # # SPDX-License-Identifier: MIT from __future__ import annotations import traceback from abc import ABCMeta, abstractmethod from collections.abc import Callable from types import NoneType from typing import TYPE_CHECKING, Any, ClassVar, Protocol import attrs import django_rq from...
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import pickle from itertools import chain from typing import ( TYPE_CHECKING, Any, Callable, Dict, Iterable, Iterator, List, Optional, Tuple, Union, ) import pyarrow as pa from ray._common.retry import call_with_retry from ray.data._internal.arrow_ops.transform_pyarrow import (...
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import numpy as np import matplotlib.pyplot as plt from copy import deepcopy from tqdm import tqdm, trange from scipy.ndimage import gaussian_filter1d from typing import Callable import torch import torch.nn as nn import torch.nn.functional as F from torch.utils.data import Dataset, DataLoader import torch.optim as op...
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""" The following code is a modification of a k-means based reclustering algorithm first published at https://github.com/BigDataBiology/SemiBin The original code is distributed under MIT License. """ import os import subprocess import sys import contextlib from sklearn.cluster import KMeans import numpy as np from col...
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# Ultralytics YOLO 🚀, GPL-3.0 license import contextlib import hashlib import json import os import subprocess import time from multiprocessing.pool import ThreadPool from pathlib import Path from tarfile import is_tarfile from zipfile import is_zipfile import cv2 import numpy as np from PIL import ExifTags, Image, ...
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import tensorflow as tf from tensorflow import keras from tensorflow.keras import layers import numpy as np import random random.seed(10) import time import math import typing import warnings class mha(tf.keras.layers.Layer): r"""MultiHead Attention layer. Defines the MultiHead Attention operation as described...
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import gc import logging import sys import time from contextlib import ExitStack from pathlib import Path from typing import List, Optional, Tuple import click import h5py import numpy as np import pandas as pd from tqdm import tqdm, trange logging.basicConfig( format="[%(asctime)s] %(levelname)s:%(name)s: %(mess...
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import gym import numpy import random import os from gym import error, spaces, utils from gym.utils import seeding from matplotlib import pyplot from collections import OrderedDict import gym_sted from gym_sted import rewards, defaults from gym_sted.utils import SynapseGenerator, MicroscopeGenerator, get_foreground,...
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import io import os import shutil import sys import tempfile import time import types import zipfile from pathlib import Path from typing import Dict, Optional, Tuple from unittest.mock import AsyncMock, MagicMock, Mock, patch import aiohttp import pytest import ray.experimental.internal_kv as kv from ray._common.tes...
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# updated 19/11/2022 # updated 19/11/2022 import logging from datetime import datetime from agent.classifiers.ffnn_classifier import ffnn from agent.classifiers.data.transformer_text_triple_fc_dataset_mgmt import get_datasets from agent.classifiers.data.transformer_text_triple_fc_dataset_mgmt import annotate_dataset...
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#!/usr/bin/env python3 """ Fully isolated SynthSeg inference script for hippocampus segmentation. This script contains all necessary code and does not require local imports. Author: Mahmoud Yaser (mahmoud1yaser) """ import argparse import os import time from collections.abc import Sequence import nibabel as nib impo...
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# Copyright (c) 2017-present, Facebook, Inc. # # 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...
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import torch from torch import Tensor import torch.nn as nn #from .utils import load_state_dict_from_url from typing import Type, Any, Callable, Union, List, Optional __all__ = ['ResNet', 'resnet18', 'resnet34', 'resnet50', 'resnet101', 'resnet152', 'resnext50_32x4d', 'resnext101_32x8d', 'wide_r...
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# Copyright 2026 Google LLC # # 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
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# System imports import sys, os, re, math import subprocess import argparse from PIL import Image FILE_TYPE = '.png' #################################################################################################### # @create_directory ###############################################################################...
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# biolgca is a Python package for simulating different kinds of lattice-gas # cellular automata (LGCA) in the biological context. # Copyright (C) 2018-2022 Technische Universität Dresden, Germany. # The full license notice is found in the file lgca/__init__.py. """ Interaction functions and helper functions for classi...
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#!/usr/bin/env python import sys import argparse import gzip from pysam import VariantFile, VariantRecord from sv_utils import genomics_io, get_truth_overlap from typing import List, Text, Optional, Dict, Iterable SIZE_BINS = [50, 500, 5000] SIZE_BIN_LABELS = ['SMALL', 'MED', 'LARGE'] # non veriant genotypes (ta...
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from __future__ import annotations from dataclasses import dataclass from pathlib import Path import matplotlib.pyplot as plt import numpy as np import pandas as pd import statsmodels.api as sm import statsmodels.formula.api as smf from scipy.io import loadmat from scipy.stats import pearsonr from statsmodels.stats.a...
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""" This module contains only the train method """ from network import Noise2NoiseUNet3D, init_weights from dataset import N2VDataset3D from transformations import * import utils import torch import torch.nn as nn # to store the data as tif file (here only the validation result are stored as tiff) import tifffile f...
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from typing import Tuple, List, Dict, Callable from collections import OrderedDict from argparse import ArgumentParser import pandas as pd import numpy as np from tqdm import tqdm, trange from rdkit.Chem import MolFromSmarts, AddHs, MolFromSmiles, SanitizeMol, Mol, CanonSmiles, MolToSmiles, RemoveHs, RWMol, GetFormalC...
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import json import logging from typing import TYPE_CHECKING, Dict, List, Optional, Tuple from aiohttp.web import Request, Response import ray import ray.dashboard.optional_utils as dashboard_optional_utils from ray.core.generated import gcs_service_pb2_grpc from ray.dashboard.modules.job.common import JobInfoStorageC...
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from typing import Callable, Tuple import numpy as np import torch from torch import nn as nn from torch.nn import functional as F from denoise_inverse_alg.flashed_recons_glm_components import single_bin_flashed_recons_compute_coupling_exp_arg, \ mixreal_single_bin_flashed_recons_compute_coupling_exp_arg, \ m...
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import nibabel as nib import numpy as np import pandas as pd import scipy.stats as sps import multiprocessing as mp from os import path from copy import deepcopy from joblib import Parallel, delayed from nilearn.input_data import NiftiMasker from samri.utilities import collapse from samri.report.utilities import roi_da...
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# Training diffusion models built by diffusion_blocks.py import os import logging from functools import partial import numpy as np import matplotlib.pyplot as plt from datetime import datetime import keras import tensorflow as tf from ml4h.defines import IMAGE_EXT from ml4h.explorations import predictions_to_pngs fr...
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import exputils import numpy as np import collections from collections import defaultdict from six import iteritems, iterkeys # pylint: disable=unused-import from copy import deepcopy try: import json except ImportError: import simplejson as json class AttrDict(dict): """ A dictionary that provides attrib...
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# built-in dependencies import os import json import hashlib import struct from typing import Any, Dict, Optional, List, Tuple, Union from itertools import combinations from urllib.parse import urlparse # project dependencies from deepface.modules.database.types import Database from deepface.modules.modeling import b...
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''' Main underlying functions for SpatialDE functionality. Optimizations over the original: - null_fits / const_fits fully vectorized (no Python gene loops) - lengthscale_fits: batch UTy = exp_tab.T @ U, then joblib-parallel lbfgsb - dyn_de / run accept n_jobs kwarg (default 1 = sequential) ''' import sys import...
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""" Copyright (c) Meta Platforms, Inc. and affiliates. This source code is licensed under the MIT license found in the LICENSE file in the root directory of this source tree. """ from __future__ import annotations import contextlib import time from pathlib import Path from typing import Any import pandas as pd from...
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"""Independent NumPy/SciPy references, not a substitute for MATLAB fixtures.""" import math import numpy as np import pytest import torch from scipy import sparse from scipy.signal import correlate2d, convolve2d from palmnet import PalmConfig, PalmPCAGabor from palmnet.gabor import fixed_gabor_bank, multiscale_bank, se...
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# Copyright (c) DP Techonology, Inc. and its affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. import numpy as np import torch as th import pandas as pd from copy import deepcopy from rdkit import Chem from rdkit.Chem import AllChem...
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from typing import Optional import pandas as pd import numpy as np import networkx as nx import scanpy as sc from sklearn.linear_model import LinearRegression as lr from matplotlib import pyplot as plt #from matplotlib_venn import venn3 import matplotlib.ticker as ticker from matplotlib.pyplot import rc_context impor...
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import os import re import subprocess import sys import tarfile import tempfile import threading from concurrent.futures import ThreadPoolExecutor from contextlib import contextmanager from typing import Any, Iterator, List, Optional, Sequence, Tuple import yaml import ray # noqa: F401 from ray.autoscaler._private.c...
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import os import time try: print('SlURM_JOB_ID',os.environ["SLURM_JOB_ID"]) except: print("no slurm id") import matplotlib matplotlib.use('agg') import matplotlib.pyplot as plt import numpy as np import pandas as pd import tensorflow as tf import tables import tensorflow.keras as K import gc import scipy impor...
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# -*- coding: utf-8 -*- from __future__ import print_function, division, unicode_literals, absolute_import import csv import os import pandas as pd # PyBIDS 0.6.5 and 0.10.2 compatibility try: from bids.grabbids import BIDSLayout except ModuleNotFoundError: from bids.layout import BIDSLayout try: from bids.grabbids...
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#!/usr/bin/env python # -*- coding: utf-8 -*- # ------------------------------------------------------------------------- # Created By : Kangjoo Lee (kangjoo.lee@yale.edu) # Last Updated: 08/06/2024 # ------------------------------------------------------------------------- # =========================================...
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import os import math from typing import Mapping, Optional, Tuple, Any, Union import torch from torch import nn, Tensor import torch.distributed as dist import torch.nn.functional as F from torch.nn import TransformerEncoder, TransformerEncoderLayer from torch.distributions import Bernoulli from torch.utils.data impor...
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""" Best-effort access to OmicVerse model/provider metadata. """ from __future__ import annotations import importlib.util import os from pathlib import Path from typing import Any, Dict, Iterable, Iterator, Optional, Tuple import requests _MISSING = object() _MODEL_CONFIG_MODULE: Any = _MISSING _FALLBACK_PROVIDER_E...
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from pathlib import Path from time import time from collections import defaultdict import argparse import warnings from tqdm import tqdm import numpy as np import torch from Bio.PDB import PDBParser from Bio.PDB.Polypeptide import three_to_one, is_aa from Bio.PDB import PDBIO from openbabel import openbabel from rdkit...
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""" Copyright (c) Meta Platforms, Inc. and affiliates. This source code is licensed under the MIT license found in the LICENSE file in the root directory of this source tree. CGCNN-like embeddings using continuous values instead of original k-hot. Properties: Group number Period number Electronegativity ...
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import functools import json import logging import os from pathlib import Path import random import subprocess from typing import Dict, List, Mapping, Optional, Tuple, Union import numpy as np import torch import pandas as pd from anndata import AnnData from matplotlib import pyplot as plt from matplotlib import axes ...
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r"""Embeddable clustered heatmap built on marsilea. Unlike :func:`omicverse.pl.complexheatmap` (which is PyComplexHeatmap-based and always builds its own figure), this heatmap renders into a caller-supplied ``matplotlib`` Figure or SubFigure. That makes it usable as one panel of a larger multi-panel figure: marsilea's...
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# -*- coding: utf-8 -*- """ Created on Sat Jul 30 18:57:45 2022 @author: jprice """ """ Gridtape Cameras - very simialr to PyAGTUM, but with most of the non-camera things commented out. There was an attempt to make some functionality to read the barcodes but this is too slow so it was never implemented....
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# -*- coding: utf-8 -*- """ Created on Tue Feb 6 19:44:46 2024 @author: LeyangXue """ import sys import matplotlib.pyplot as plt import numpy as np import networkx as nx # Add package path packagepath = '../kcorePercolation' # Manually specify the path to your script sys.path.append(packagepath) from utils import ...
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#!/usr/local/bin/python """ *********************************************** - PROGRAM: boundary2tad.py - CONTACT: Bryan lajoie (bryan.lajoie@umassmed.edu) *********************************************** """ from __future__ import print_function from __future__ import division import sys import argparse i...
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import logging import math import time from collections import Counter, defaultdict from dataclasses import dataclass from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional import ray from .base_autoscaling_coordinator import ( STANDARD_RESOURCE_TYPES, AutoscalingCoordinator, LabelSelector, ...
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import torch import torchvision from torch import Tensor import torch.nn as nn #from .utils import load_state_dict_from_url from typing import Type, Any, Callable, Union, List, Optional __all__ = ['ResNet', 'resnet18', 'resnet34', 'resnet50', 'resnet101', 'resnet152', 'resnext50_32x4d', 'resnext101_32x8d',...
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# Copyright 2021 Division of Medical Image Computing, German Cancer Research Center (DKFZ) # and Applied Computer Vision Lab, Helmholtz Imaging Platform # # 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 L...
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import os import re import subprocess import sys from datetime import datetime from typing import Callable, List, Optional import requests from dateutil import parser import docker from ci.ray_ci.automation.crane_lib import ( CraneError, call_crane_copy, call_crane_index, call_crane_manifest, ) from c...
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#################################################################################################### # Copyright (c) 2016 - 2024, EPFL / Blue Brain Project # Author(s): Marwan Abdellah <marwan.abdellah@epfl.ch> # # This file is part of NeuroMorphoVis <https://github.com/BlueBrain/NeuroMorphoVis> # # The code in this fi...
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# Ultralytics YOLO 🚀, GPL-3.0 license import math import os import platform import random import time from contextlib import contextmanager from copy import deepcopy from pathlib import Path import numpy as np import thop import torch import torch.distributed as dist import torch.nn as nn import torch.nn.functional ...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- # pylint: disable=broad-except # pylint: disable=invalid-name # pylint: disable=line-too-long # pylint: disable=multiple-statements # pylint: disable=too-many-lines #------------------------------------------------------------------------------- ''' This source contains ...
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""" Context-belief- and/or history-based agent by Aditya Gilra, Sep-Oct-Nov 2021 """ import numpy as np import matplotlib as mpl import matplotlib.pyplot as plt import scipy.io as scipyio import scipy.stats import sys from utils import process_transitions, get_switchtimes # number of steps on each side of the trans...
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import torch import numpy as np from typing import Tuple, Union from convex_optim_base.optim_base import SingleProxProblem, BatchParallelProxProblem class ProxSolverParams: pass class ProxFixedStepSizeSolverParams(ProxSolverParams): def __init__(self, initial_learning_rate: Union[float, t...
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"""NumPy/SciPy re-implementation of the R CytoSignal pipeline (Liu et al., Nat Genet 2026). Mirrors the default workflow of the R package (v0.5.1):: removeLowQuality -> changeUniprot -> inferEpsParams -> findNN -> imputeLR -> inferIntrScore -> inferSignif Orientation: matrices are **cells x genes** here (R u...
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Python
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import warnings from typing import Optional, Sequence, Union import torch from torch import Tensor from rising.random import AbstractParameter from rising.utils.affine import ( deg_to_rad, get_batched_eye, matrix_revert_coordinate_order, matrix_to_homogeneous, points_to_cartesian, points_to_ho...
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r"""On-demand database fetchers for KEGG / LION / HMDB. The tiny curated CSVs shipped with omicverse (``data/kegg_pathways.csv``, ``data/lion_subset.json``, ``data/metabolite_lookup.csv``) cover the tutorial datasets but are obviously too small for real analysis: ======= ================ ======================== =...
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# Copyright 2021 Google LLC # 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 # https://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writing, sof...
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from os import path, remove from samri.pipelines.extra_functions import flip_if_needed, get_data_selection, get_bids_scan, write_bids_metadata_file, write_bids_events_file, write_bids_physio_file, BIDS_METADATA_EXTRACTION_DICTS import os import argh import re import inspect import json import os import shutil import t...
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from __future__ import annotations import logging import math from typing import TYPE_CHECKING import torch import torch.nn.functional as F from e3nn.o3._spherical_harmonics import _spherical_harmonics if TYPE_CHECKING: from fairchem.core.datasets.atomic_data import AtomicData from fairchem.core.models.allsc...
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"""Pick the most reproducible Leiden resolution via null-adjusted bootstrap-ARI stability — ``ov.single.autoResolution``. Implementation follows Lange, Roth, Braun & Buhmann (*Neural Computation* 16(6):1299–1323, 2004), "Stability-Based Validation of Clustering Solutions". The core observation is that bootstrap stabil...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sat Jan 1 16:14:53 2022 @author: joern """ # https://coderzcolumn.com/tutorials/machine-learning/scikit-learn-sklearn-feature-selection # %% imports import os os.chdir("/home/joern/Aktuell/PaclitaxelPainLipidomics/08AnalyseProgramme/PaclitaxelNeuropathyPr...
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# Copyright 2023 Stanford University Team and The HuggingFace Team. 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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import numpy as np from rdkit import Chem import torch # ------------------------------------------------------------------------------ # Computational # ------------------------------------------------------------------------------ FLOAT_TYPE = torch.float32 INT_TYPE = torch.int64 # --------------------------------...
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import pandas as pd import sys import numpy as np import os from collections import defaultdict import json from itertools import product import ray from itertools import combinations os.environ['RAY_worker_register_timeout_seconds'] = '60' @ray.remote class RCS_finder(): ''' This is a python class that c...
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from __future__ import print_function import time import numpy as np import tensorflow as tf from tensorflow.contrib.tensorboard.plugins import projector # for 3d PCA/ t-SNE from .tensorboard_util import * start = int(time.time()) # clear_tensorboard() set_tensorboard_run(auto_increment=True) run_tensorboard(rest...
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"""In-memory store for task events on the dashboard head. Events from the same task attempt (same task id + attempt number) are merged into a single ``TaskEvents`` entry. The store is bounded by ``MAX_NUM_TASK_EVENTS``; when full, entries in lower-priority tiers are evicted first (see ``gc_policy``). Per-job bookkeepi...
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""" Copyright (c) Meta Platforms, Inc. and affiliates. This source code is licensed under the MIT license found in the LICENSE file in the root directory of this source tree. """ from __future__ import annotations import unittest import torch from fairchem.core.models.uma.common.so3 import CoefficientMapping from ...
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from typing import Iterator, Callable import numpy as np import matplotlib.pyplot as plt from matplotlib.patches import Rectangle from matplotlib.collections import PatchCollection from scipy.spatial.distance import euclidean from scipy.spatial.qhull import Delaunay from scipy.spatial import Voronoi from scipy.spatial...
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Python
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# Copyright 2023 Google LLC # 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 # https://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writing, sof...
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Python
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import numpy as np import nir from tests import mock_affine, mock_delay, mock_integrator, mock_linear, mock_output def test_has_version(): assert hasattr(nir, "version") assert hasattr(nir, "__version__") def test_has_NIRNode(): assert hasattr(nir, "NIRNode") def test_eq(): a = nir.Input(np.array...
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# Copyright 2024 Google LLC # # 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
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import json import logging import os from typing import Dict, Optional, Tuple import ray import ray._private.ray_constants as ray_constants from ray._common.constants import HEAD_NODE_RESOURCE_NAME, NODE_ID_PREFIX from ray._common.utils import ( RESOURCE_CONSTRAINT_PREFIX, env_bool, get_cgroup_aware_swap_m...