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Python
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import numpy as np import sys import os import random import LFPy from kcsd import sample_data_path import neuron morphology_directory = os.path.join(sample_data_path,'morphology') """Electrode grid is 2D. If z is the zero dimention x=x, y=y. If x is the zero dimension x=0, y=x, z=y. If y is the zero dimention, z=x & ...
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Python
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import numpy as np import torch import torch.utils.data as data_utils from torchvision import datasets, transforms import argparse import torch.optim as optim import torch.nn as nn import torch.nn.functional as F from torch.autograd import Variable import os, fnmatch import cv2 import shutil import sklearn from sklearn...
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# Copyright 2018-2024 Xanadu Quantum Technologies 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...
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# Train structural embedding with contrastive learning # Unpack training_coords first with `tar -xvf training_coords.tgz` import torch from torch.nn import Dropout, Identity, Linear, Sequential, SiLU from torch.nn.functional import normalize from torch.utils.data import Dataset from torch_geometric.data import Data fr...
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# STA Movie Maker # Lloyd Russell 2017 from GUI import GUI from PyQt5.QtCore import Qt, QObject, pyqtSignal, QThread, QTimer, QRectF, QUrl from PyQt5.QtWidgets import (QComboBox, QCheckBox, QLineEdit, QSpinBox, QDoubleSpinBox, QFileDialog, QApplication, QDesktopWidget, QMainWindow, QMessageBox) from Py...
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from io import ( BytesIO, StringIO, ) import random import string import numpy as np from pandas import ( Categorical, DataFrame, Index, concat, date_range, period_range, read_csv, to_datetime, ) from ..pandas_vb_common import BaseIO class ToCSV(BaseIO): fname = "__test_...
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""" Protocols for predicting protein 3D structure from ECs Authors: Thomas A. Hopf Anna G. Green (complex_dock) """ from os import path from math import ceil import billiard as mp from functools import partial import shutil import pandas as pd from evcouplings.align.alignment import ( read_fasta, parse_head...
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Python
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# Copyright 2026 Xanadu Quantum Technologies 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 agre...
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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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Python
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import os import sys import rdkit from rdkit import Chem import DXGB.get_pdbinfo as get_pdbinfo import DXGB.bw from DXGB.bw import cal_BW import DXGB.rw from DXGB.rw import get_Crw import DXGB.opt from DXGB.opt import get_Co import DXGB.cal_vina58 from DXGB.cal_vina58 import featureVina import DXGB.cal_sasa from DX...
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import os import random import numpy as np import torch from PIL import Image from torchvision import transforms from .loader import get_image_loader, get_video_loader from .masking_generator import ( RunningCellMaskingGenerator, TubeMaskingGenerator, ) from .transforms import ( GroupMultiScaleCrop, G...
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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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import numpy as np import pytest import pandas as pd import pandas._testing as tm from pandas.tests.apply.common import series_transform_kernels @pytest.fixture(params=[False, "compat"]) def by_row(request): return request.param def test_series_map_box_timedelta(by_row): # GH#11349 ser = pd.Series(pd.t...
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""" Tests for the following offsets: - SemiMonthBegin - SemiMonthEnd - MonthBegin - MonthEnd """ from __future__ import annotations from datetime import datetime from itertools import pairwise import pytest from pandas._libs.tslibs import Timestamp from pandas._libs.tslibs.offsets import ( MonthBegin, Month...
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#!/usr/bin/env python """Module Description: Test the PosReadsInfo class in MACS3.Signal.PosReadsInfo, which collects the alleles and base qualities seen at one reference position and calls the genotype. Genotype likelihoods are checked against direct numpy/scipy implementations of the four models (homozygous major, ...
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# Copyright (c) 2021-2023, NVIDIA Corporation # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # 1. Redistributions of source code must retain the above copyright notice, this # list of condit...
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# Copyright (c) 2018-2023, NVIDIA Corporation # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # 1. Redistributions of source code must retain the above copyright notice, this # list of condit...
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# Copyright 2026 Xanadu Quantum Technologies 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 agre...
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import torch import torch.nn as nn import torch.nn.functional as F import time import sys sys.path.append("..") # from utils import local_pcd def init_bn(module): if module.weight is not None: nn.init.ones_(module.weight) if module.bias is not None: nn.init.zeros_(module.bias) return de...
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"""Test the predict CLI command argument parsing.""" import argparse from unittest.mock import MagicMock, patch import pytest from lightning_pose.cli.commands.predict import ( _predict_multi_type, _predict_multi_type_multi_view, get_parser, handle, ) class TestGetParser: """Test the get_parser ...
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# Copyright 2025 Xanadu Quantum Technologies 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 agre...
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# Copyright 2026 Xanadu Quantum Technologies 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...
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# Copyright 2018-2021 Xanadu Quantum Technologies 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...
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from typing import Iterator, List, Tuple import torch import math import random from tqdm import trange from pgen.esm_sampler import generate_step import sys import re ESM_MSA_ALLOWED_AMINO_ACIDS = "-ACDEFGHIKLMNPQRSTVWY" ESM_MSA_GAP_CHARACTERS = "-" # there might be some reason to add "." to both of these constants ...
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# Copyright 2018-2024 Xanadu Quantum Technologies 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 o...
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import os, sys import pdb import numpy as np import cupcake.io.BioReaders as BioReaders import cupcake.tofu.branch.c_branch as c_branch from bx.intervals.cluster import ClusterTree #from cupcake.tofu.branch.intersection_unique import IntervalTreeUnique, Interval, IntervalNodeUnique from Bio import SeqIO INTINF = 999...
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import os from copy import deepcopy import numpy as np import scipy.linalg as la import logging from . import matchingParam from . import conjugateGradient as cg, kernelFunctions as kfun, pointEvolution as evol, loggingUtils, bfgs from .pointSets import PointSet from . import pointSets, pointset_distances as psd from ....
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#!/usr/bin/env python #!python #For debug use only #Test deletions: #command='Pacbio.Validator.py vcf --sv-input /mnt/EXT/Mills-scratch2/Xuefang/Pacbio.Validator/vcf_files/NA12878_Delly_DEL.vcf --output-path /mnt/EXT/Mills-scratch2/Xuefang/NA12878.NGS/SVelter_rec2/PacValTest/ --pacbio-input /mnt/EXT/Mills-scratch2/Xue...
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"""Input/Output operations.""" import json import logging import re from collections import Counter from itertools import groupby from operator import itemgetter from pathlib import Path import numpy as np import pandas as pd import requests from scipy import sparse from .dataset import Dataset from .extract.utils im...
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""" Tests that the file header is properly handled or inferred during parsing for all of the parsers defined in parsers.py """ from collections import namedtuple from io import StringIO import numpy as np import pytest from pandas.errors import ParserError import pandas as pd import pandas._testing as tm xfail_pya...
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# Copyright 2024 Xanadu Quantum Technologies 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 agre...
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from rdkit import Chem from rdkit.Chem import AllChem import pandas as pd import numpy as np from concepts import Context from fp_check_functions import get_mean_activation_compound_set from helper_functions import dict_to_string def fca_lattice_from_df(df): """ function that creates fca lattice from...
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import math import random from PIL import Image, ImageEnhance, ImageOps try: import accimage except ImportError: accimage = None import collections import numbers import types import warnings import cv2 import numpy as np from PIL import Image _cv2_pad_to_str = { 'constant': cv2.BORDER_CONSTANT, 'ed...
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# Copyright 2018-2021 Xanadu Quantum Technologies 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...
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# Copyright 2018-2021 Xanadu Quantum Technologies 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...
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#!/usr/bin/env python # Time-stamp: <2025-09-29 15:22:11 Tao Liu> """Module Description: Test functions for Signal.pyx 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). """ import unittest import pytest impo...
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"""Tests for heatmap generation and evaluation utilities.""" import copy import torch from kornia.geometry.subpix import spatial_expectation2d, spatial_softmax2d from lightning_pose.data.heatmaps import generate_heatmaps class TestGenerateHeatmaps: def test_basic(self, cfg, heatmap_dataset): im_heigh...
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# Copyright 2018-2020 Xanadu Quantum Technologies 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...
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"""Waveform view.""" # ----------------------------------------------------------------------------- # Imports # ----------------------------------------------------------------------------- import logging from collections import defaultdict import numpy as np from phylib.io.array import _flatten, _index_of from ph...
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# Copyright 2018-2021 Xanadu Quantum Technologies 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...
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from __future__ import annotations import os from typing import Dict, Optional, Union, List, Tuple, Sequence, cast import numpy as np import torch import torch.nn.functional as F from ..transform import ( RigidTransform, transform_points, init_stack_transform, init_zero_transform, ) from .image_utils im...
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# Copyright 2022 Xanadu Quantum Technologies 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 agre...
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import sys, os, re, math, json, argparse, time from operator import add sys.path.append(os.path.join(os.path.dirname(__file__), '..', '..', 'resource-gcg', 'scripts')) import tree argparser = argparse.ArgumentParser(''' Reads in gold and test linetrees files and performs a number of evaluations. The test and gold data...
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import re import string import pickle import numpy as np import pandas as pd from scipy import interpolate from sklearn.ensemble import RandomForestRegressor # helper functions for sorting # https://stackoverflow.com/questions/5967500/how-to-correctly-sort-a-string-with-a-number-inside def _atof(text): try: ...
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# Copyright 2018-2021 Xanadu Quantum Technologies 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...
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# Copyright 2022 Xanadu Quantum Technologies 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 agre...
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"""Input/Output operations.""" import json import logging import re from collections import Counter from itertools import groupby from operator import itemgetter from pathlib import Path import numpy as np import pandas as pd import requests from scipy import sparse from nimare.dataset import Dataset from nimare.extr...
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"""Static + runtime introspection functions for the UI / agent. The bulk of model and metric metadata in 3.x lived inside container class docstrings and `__init__` bodies. For 4.0 we surface just enough *static* info — from a hand-curated registry seeded from the legacy containers — to drive a React form without actua...
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#!/usr/bin/env python # -*- coding: UTF-8 -*- """ Autobinning entry point for the BASALT pipeline (CheckM-based branch). This module runs the initial binning workflows, including multiple autobinners and optional extra binners, and records progress in ``Basalt_checkpoint.txt`` to support resumable execution. """ imp...
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import numpy as np import numba from numpy.testing import assert_array_almost_equal, assert_array_equal import umap.distances as dist import umap.sparse as spdist import re from sklearn.metrics import pairwise_distances from sklearn.neighbors import BallTree from sklearn import __version__ as sklearn_version_ from sci...
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# Copyright 2026 Xanadu Quantum Technologies 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 agree...
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''' update_dynamodb_published_versioned.py Update a janelia-neuronbridge-published-* DynamoDB table. ''' import argparse import collections from datetime import datetime from operator import attrgetter import re import sys import time import boto3 import inquirer from inquirer.themes import BlueComposure import My...
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import sys import numpy as np import torch import matplotlib as mpl import matplotlib.pyplot as plt import task_train_test as tk import nn_analyses as nna import ti_functions as ti def printparms(): njobs = singleout(TID=0).njobs # identify total number of jobs dims = singleout(TID=0).dims # identi...
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from __future__ import annotations import inspect import json import logging import pytest from pcntoolkit.math_functions.likelihood import NormalLikelihood from pcntoolkit.math_functions.prior import ( CenteredRandomPrior, LinearPrior, Prior, RandomPrior, make_prior, prior_from_args, ) from ...
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# Copyright 2018-2024 Xanadu Quantum Technologies 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...
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"""Classes for representing datasets of images and/or coordinates.""" import copy import inspect import json import logging import os.path as op import numpy as np import pandas as pd from nilearn._utils import load_niimg from nimare.base import NiMAREBase from nimare.utils import ( _dict_to_coordinates, _dic...
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import os import csv # joblib import joblib # numpy import numpy as np # pandas import pandas as pd # openpyxl from openpyxl import Workbook # rdkit from rdkit import Chem from rdkit.Chem import AllChem from rdkit.Chem import rdForceFieldHelpers # mordred from mordred import Calculator, descriptors #----TYPE CHE...
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# Copyright 2018-2023 Xanadu Quantum Technologies 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...
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from collections import defaultdict from datetime import datetime from itertools import product import numpy as np import pytest import pandas as pd import pandas._testing as tm from pandas.core import algorithms from pandas.core.algorithms import safe_sort import pandas.core.common as com from pandas.core.sorting im...
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from datetime import datetime import numpy as np import pytest from pandas.errors import Pandas4Warning from pandas.core.dtypes.dtypes import CategoricalDtype import pandas as pd import pandas._testing as tm class TestCategoricalConcat: def test_categorical_concat(self, sort): # See GH 10177 d...
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"""miscellaneous sorting / groupby utilities""" from __future__ import annotations import itertools from typing import ( TYPE_CHECKING, cast, ) import numpy as np from pandas._libs import ( algos, hashtable, lib, ) from pandas._libs.hashtable import unique_label_indices from pandas.core.dtypes....
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""" Implementation of "Attention is All You Need" and of subsequent transformer based architectures """ import torch import torch.nn as nn from onmt.decoders.decoder import DecoderBase from onmt.modules import MultiHeadedAttention, AverageAttention from onmt.modules.position_ffn import PositionwiseFeedForward from on...
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""" This module tests the functionality of StringArray and ArrowStringArray. Tests for the str accessors are in pandas/tests/strings/test_string_array.py """ import numpy as np import pytest from pandas.compat.pyarrow import pa_version_under19p0 from pandas.core.dtypes.common import is_dtype_equal import pandas as ...
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import numpy as np import pytest import pandas as pd import pandas._testing as tm def test_doc_string(): df = pd.DataFrame({"B": [0, 1, 2, np.nan, 4]}) df df.ewm(com=0.5).mean() def test_constructor(frame_or_series): c = frame_or_series(range(5)).ewm # valid c(com=0.5) c(span=1.5) ...
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import sys, configparser, torch, re, os, time from collections import Counter import torch.nn as nn import torch.nn.functional as F import torch.optim as optim import numpy as np from scipy.sparse import csr_matrix import pdb np.set_printoptions(threshold=sys.maxsize) BASEKVOCABSIZE = 0 ANTEKVOCABSIZE = 0 def eprint(...
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import datetime import decimal import zoneinfo import numpy as np from numpy import ma import pytest from pandas._config import using_string_dtype import pandas.util._test_decorators as td import pandas as pd import pandas._testing as tm from pandas.api.extensions import register_extension_dtype from pandas.arrays ...
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__author__ = 'etseng@pacb.com' import os, sys, re, time import pdb from csv import DictWriter from Bio import SeqIO from collections import defaultdict, namedtuple from cupcake.tofu import compare_junctions from cupcake.io import GFF from bx.intervals import IntervalTree from bx.intervals.cluster import ClusterTree ...
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import numpy as np import pytest from pandas.errors import InvalidIndexError import pandas as pd import pandas._testing as tm from pandas.core.arrays import ( ArrowExtensionArray, FloatingArray, ) class TestGetLoc: def test_get_loc(self): index = pd.Index([0, 1, 2]) assert index.get_loc(...
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import numpy as np import torch import torch.nn as nn from torch.nn import CrossEntropyLoss import torch.optim as optim import copy from sklearn.metrics import mean_squared_error import matplotlib matplotlib.use('TkAgg') from .early_stop import EarlyStopping from .utils import * PWD = os.path.abspath(os.path.dirnam...
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"""Parity tests for the clocks ported from the BioAge R package. The expected values in ``reference_predictions.json`` were produced by BioAge itself, not by a re-implementation, so they pin these ports to the published behaviour rather than to our reading of it. The fixtures are a frozen snapshot. Each notebook re-d...
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# Copyright 2026 Xanadu Quantum Technologies 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 agre...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Mar 7 18:48:08 2023 @author: hklumpe """ import glob import sys import json import os import numpy as np import pandas as pd import matplotlib.pyplot as plt username='hklumpe' dcc_repo_path = f"/projectnb/dunlop/{username}/deepcellcontrol/" fig_pat...
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# Copyright 2018-2021 Xanadu Quantum Technologies 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...
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__all__ = [ "GlycoPeptideMS2Data", "GlycoPeptideMS2Output", "GlycoPeptideMS2DataConverter", "GlycoPeptideMS2Dataset", "GlycoPeptideMS2DataBatch", ] import itertools from typing import ( Any, List, NamedTuple, Optional, Sequence, Tuple, Union, cast, overload, ) i...
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"""miscellaneous sorting / groupby utilities""" from __future__ import annotations import itertools from typing import ( TYPE_CHECKING, Any, cast, ) import numpy as np from pandas._libs import ( algos, hashtable, lib, ) from pandas._libs.hashtable import unique_label_indices from pandas.cor...
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# Copyright 2019 Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany # # 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://w...
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## Violin / Topo (Bands) import pandas as pd import pickle import matplotlib.pyplot as plt import os import seaborn as sn import mne tmin, tmax = -0.6, -0.003 model = 'Ridge' situacion = 'Escucha' info_path = 'Saves/Preprocesed_Data/tmin-0.6_tmax-0.003/EEG/info.pkl' f = open(info_path, 'rb') info = pick...
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import os os.environ['TF_FORCE_GPU_ALLOW_GROWTH'] = 'true' os.environ['OPENBLAS_NUM_THREADS'] = '1' os.environ['ITK_GLOBAL_DEFAULT_NUMBER_OF_THREADS'] = '1' os.environ['TF_NUM_INTEROP_THREADS'] = '1' os.environ['TF_NUM_INTRAOP_THREADS'] = '1' os.environ['OMP_NUM_THREADS'] = '1' from botocore.client import Config impor...
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from Environment import * from Parameter import * def DNN_result_ranksum(data_path, model_name): file = open(os.path.join(data_path, 'Dice_ranksums.txt'), 'w+') symbol = ['***', '**', '*'] for i in model_name: for j in model_name: if i == j: pass else: ...
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# Copyright 2018-2026 Xanadu Quantum Technologies 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...
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import argparse, os, time, sys, gc, cv2 import torch import torch.nn as nn import torch.nn.parallel import torch.backends.cudnn as cudnn from torch.utils.data import DataLoader import torch.nn.functional as F from models.casmvsnet import * import numpy as np from datasets import find_dataset_def from models import * f...
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# -*- coding: utf-8 -*- """ Script to analyze the outcome of various re-trainings of the networks Fig S1, S2, S5 and S6 plotted here You will need scikit-learn (v1.2.2 at time of this writing) Created on Sat Apr 15 16:01:50 2023 @author: jeanbaptiste """ import copy import json import os import time import numpy as ...
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import matplotlib import os, pandas as pd, numpy as np, pickle as pckl from scipy.stats import ttest_ind, pearsonr import matplotlib.pyplot as plt, seaborn as sns, json, matplotlib as mpl,imageio from sklearn import metrics import sklearn, scipy from scipy.signal import argrelextrema import itertools import shu...
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###################### ### Import Library ### ###################### # my library from molgraph.simplemodel import * from molgraph.dataset import * from molgraph.experiment import * from molgraph.training_simple import * from molgraph.visualize import * # general import math as math import matplotlib.pyplot as plt fro...
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#!/usr/bin/env python3 # MIT License # # Copyright 2026 Broad Institute # # 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...
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# Copyright 2025 Xanadu Quantum Technologies 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 agre...
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# Copyright 2018-2020 Xanadu Quantum Technologies 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...
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import numpy as np import matplotlib.pyplot as plt import seaborn as sns import scipy.io as sio # increase the figure size plt.rcParams["figure.figsize"] = [12, 10] # remove the top and right spines from plot in the global plt setting plt.rcParams["axes.spines.top"] = False plt.rcParams["axes.spines.right"] = False #...
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# Copyright 2018-2022 Xanadu Quantum Technologies 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...
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# Copyright 2018-2020 Xanadu Quantum Technologies 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...
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"""Phases 4 / 5 / 7 / 10 / 12 — new entity tables in one migration. Revision ID: b2c3d4e5f6a8 Revises: a1b2c3d4e5f7 Create Date: 2026-05-14 10:00:00.000000+00:00 Schemas added: - Phase 4: ``secrets``, ``connections``, ``datasets``, ``lineage``. - Phase 5: ``git_repositories``. - Phase 7: ``registered_models``, ``reg...
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import numpy as np import pytest from pandas.errors import Pandas4Warning import pandas as pd import pandas._testing as tm def _assert_frame_equal_both(a, b, **kwargs): """ Check that two DataFrame equal. This check is performed commutatively. Parameters ---------- a : DataFrame Th...
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# Copyright 2026 Xanadu Quantum Technologies 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 agre...
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"""Test opencv dataloading functionality.""" import os import shutil import numpy as np import pandas as pd import pytest import torch import lightning_pose as lp from lightning_pose.data import _IMAGENET_MEAN, _IMAGENET_STD from lightning_pose.data.video import utils as video_utils_module from lightning_pose.data.vi...
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from __future__ import annotations import operator import re from typing import ( TYPE_CHECKING, Any, Self, ) import numpy as np from pandas._libs import ( lib, missing as libmissing, ) from pandas.compat import ( HAS_PYARROW, PYARROW_MIN_VERSION, ) from pandas.compat.numpy import functio...
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"""LLM advisory routes. Six endpoints under ``/api/v1/``: GET /workspaces/{id}/llm/settings current active setting PUT /workspaces/{id}/llm/settings upsert the enabled provider POST /workspaces/{id}/llm/test-connection round-trip probe POST /llm/analyze-dataset data...
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# Copyright 2024 Xanadu Quantum Technologies 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 agre...
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#!/usr/bin/env python """Module Description: Test the bdgdiff subcommand (MACS3/Commands/bdgdiff_cmd.py): differential regions from treatment and control bedGraphs of two conditions, scored by log10 likelihood ratios. The inputs are tiny tracks on a 100 bp grid; a reference implementation in the test computes the thr...
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# Copyright (c) 2018-2023, NVIDIA Corporation # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # 1. Redistributions of source code must retain the above copyright notice, this # list of condit...
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# Copyright 2025 Xanadu Quantum Technologies 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 agre...