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__author__ = 'quentin' from . import control_thread
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"""Shared runtime helpers for portal applications."""
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from angorapy.agent.ppo_agent import PPOAgent as Agent
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"""Tests for the spectral parameterization module."""
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from .brain_semspace_map import brain_semspace_map_loo
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from roi.customROI import CustROI1, CustROI2, CustROI3
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DATA_PATH = "/scratch/hyruuk/neuromod/controller_data"
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from .testing import sparsity_matched_coverage_results
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from flask import Flask application = Flask(__name__)
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from .adjust import adjust __all__ = [ "adjust", ]
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from .interpolator import GenerateParametersInterpolator
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from . import data, evaluation, generator, model, system
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from . import pl, pp, tl from .io import * # noqa: F403
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# TODO, for now please refer to our pure pytorch example
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from .agg import cellbin_select, contours, select_polygon
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from batch_detection import * from prepare_video import *
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from somtimes.SelfOrganizingMap import SelfOrganizingMap
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from .OPTProcessor import * from .functions_utils import *
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from ._version import version as __version__ # noqa: F401
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"""Data types used by Bream with the MinKNOW key store."""
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from .make_model import * from .pytorchvideo_models import *
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"""Modernized desktop GUI shell scaffold for Larvaworld."""
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from .view import JobPortsView __all__ = ("JobPortsView",)
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from . import attribution, chspace, groups, occlusion, sefas
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from . import cli if __name__ == '__main__': cli.main()
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from acdc_nn.cli import cli if __name__ == '__main__': cli()
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from .gravity import Gravity from .radiation import Radiation
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from _plotly_utils.exceptions import PlotlyError # noqa: F401
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"""Demo sub-module.""" from .download import load_example_data
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from celery import Celery hello = Celery(set_as_current=False)
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# flake8: noqa: F401 from .extraction_view import ExtractionView
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# flake8: noqa: F401 from .evaluation_view import EvaluationView
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"""Backend substrate parity gates for current torch behavior."""
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# __init__.py # version of rcc-xcorr tool __version__ = "1.0.14"
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"""Unit test package for pynapple.""" from . import helper_tests
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# flake8: noqa: F401 from ._version import version as __version__
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from .ari import all_resolutions_inference __version__ = "0.1.2"
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from flask import Flask app1 = Flask("app1") app2 = Flask("app2")
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# flake8: noqa: F401 from .calibration_view import CalibrationView
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"""Shared configs""" _BEST_CHECKPOINT_FILE = 'best_checkpoint.pkl'
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"""SSD Estimator implementations""" from .ssd import SSDEstimator
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"""Data Pipelines""" from .auto_data import url_data, URLs, is_url
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from _plotly_utils.optional_imports import get_module # noqa: F401
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from setuptools import setup if __name__ == "__main__": setup()
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BINARY = 'binary' MULTICLASS = 'multiclass' REGRESSION = 'regression'
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from .torch import FeatureExtractor, ImageDataset from .base import *
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"""Neurogym environments.""" from .collections import get_collection
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"""Experimental transforms.""" from . import bbox from . import image
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from lightly.transforms.multi_crop_transform import MultiCropTranform
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#!/usr/bin/env python """ Unit tests for the notification system. """
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hiddenimports = ['skimage.filters.rank.core_cy_3d', ]
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""" This module contains Spitfire's core time integration methods. """
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# flake8: noqa: F401 from .peak_selection_view import PeakSelectionView
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from pyjibe.__main__ import main if __name__ == "__main__": main()
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"""Pinned Model Explorer vendor assets + harness helpers (F15 lane)."""
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"""link prediction module""" from sknetwork.linkpred.nn import NNLinker
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"""YOLO Estimator implementations""" from .yolo import YOLOv3Estimator
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"""Stage-0 characterization oracle for capture-pipeline unification."""
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from flask import Module mod = Module(__name__, "foo", subdomain="foo")
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from ._utils import concat_sdatas, add_obs from ._augment import RandomRC
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from flask import Flask raise ImportError() testapp = Flask("testapp")
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from .lr_scheduler import get_scheduler from .logger import setup_logger
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import matplotlib matplotlib.use("Agg") import matplotlib.pyplot as plt
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from . import base, globalspline, zmatrix, volpresglobal, volpreszmatrix
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from angorapy.analysis.investigators.base_investigator import Investigator
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class StructureLayer: def __init__(self, data_source): pass
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"""Shared test-support helpers (imported as ``support.*`` from tests)."""
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"""Observer pattern.""" from .signal import Signal __all__ = ('Signal',)
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'''Feature engineering module.''' from .feature import normalize_feature
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from .base_models import global100 from .tacticity_models import pm_model
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from .localization import localization __all__ = [ "localization", ]
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__author__ = "quentin" from . import debug, description, img_proc, video
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from ._references import get_reference from ._attributions import attribute
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# ruff: noqa: F401 from ._kaleido import ( to_image, write_image, )
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from .org_age import compute_age from .org_drugtimes import attach_drugtimes
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VIDEO = "../static_files/videos/arena_10x2_sortTubes.mp4" DRAW_FRAMES = True
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"""Plots sub-module.""" from .spectra import plot_spectra, plot_spectrogram
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from . import rmagic load_ipython_extension = rmagic.load_ipython_extension
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ANNUBES_KWS = { "session": {"a": 0.5, "v": 0.5}, "catch_prob": 0.5, }
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# ruff: noqa: F401 from ._sg_scraper import plotly_sg_scraper, reset_renderer
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#!/usr/bin/env python """ Integration tests for the notification system. """
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from celery import shared_task @shared_task def mul(x, y): return x * y
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"""Transforms fixture corpus (memo B9): vendored licensed images + loaders."""
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from .gold_docker import GOLDDocker from .pdbbind_docking import PDBbindDocking
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from pathlib import Path from typing import Union PathArg = Union[Path, str]
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from .pose_reader import PoseReader from .rmsd_calculator import RMSDCalculator
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from src.train_loop_crf import parse_arguments, train train(parse_arguments())
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from .wkw import Header, Dataset, File __ALL__ = ["Header", "Dataset", "File"]
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"""Fast RCNN.""" from __future__ import absolute_import from .rcnn import RCNN
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from . import datamodules, config, utils from tlib import tutils, tgeo, ttorch
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"""SSD Estimator implementations""" from .center_net import CenterNetEstimator
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from .get_svg import * from .get_svg_between_slice import * from .utils import *
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"""Wrappers to build Python packages using PEP 517 hooks """ __version__ = '0.2'
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from .decoder import DotDecoder, GMFDecoder, ZINBDecoder from .scbig import scBiG
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# ruff: noqa: F401 from .renderers import Renderer from .exporter import Exporter
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from .normalize import SME_normalize from .impute import SME_impute0, pseudo_spot
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IMAGENET_NORMALIZE = {"mean": [0.485, 0.456, 0.406], "std": [0.229, 0.224, 0.225]}
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from .mol_featurizer import MolFeaturizer from .pyg_featurizer import PyGFeaturizer
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# Minimal setup.py content for both packages from setuptools import setup setup()
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__author__ = "quentin" from . import input, interfaces from .input import cameras