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8958e893a8d230d547ec413c3e45e72d149672add2b45727d6e225c7de32d966
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from .fcnn import FCNNModel __all__ = ["FCNNModel"]
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import morgana.ImageTools.objectsparsing.objectsparser
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from .config import get_train_config, get_test_config
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from __future__ import absolute_import from . import *
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from .plotting import * from .plotting_configs import *
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__import__('pkg_resources').declare_namespace(__name__)
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import os,sys sys.path.append(os.path.dirname(__file__))
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import unittest # from .test_RQA_functions.py import *
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"""Agent toolkit for interacting with vector stores."""
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from . import functions from .version import __version__
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from .compute_dists import * from .compare_dists import *
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from .utils import ExponentialBernsteinRadialBasisFunctions
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import glob __all__ = [x[:-3] for x in glob.glob("*.py")]
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dependencies = ['torch'] from sincfold.model import sincfold
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"""Main entrypoint into LangChain.""" __version__ = "1.4.7"
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from .baseline_sliding_window import baseline_sliding_window
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"""DDSurfer surface prediction and coordinate conversion."""
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""" enrichm/__init__.py """ from .version import __version__
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"""Chain for question-answering against a vector database."""
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print('foo imported') def print_smt(_str): print(_str)
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from .main import main if __name__ == '__main__': main()
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from .datahub import DataHub from .datareader import MOFReader
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"""Raw diffusion input validation and volume preprocessing."""
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from .odeint import odeint from .adjoint import odeint_adjoint
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import monitoring.vmon.main as vmem_monitor vmem_monitor.main()
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"""Initialization file for embanded""" __version__ = '0.0.4'
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from models import LSTMParams model = LSTMParams.load("DUMMY")
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from .version import _get_version __version__ = _get_version()
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from .version import _get_version __version__ = _get_version()
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from . import arch from . import archCombi from . import layers
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from perses.utils.data import * from perses.utils.openeye import *
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"""Version information for `langchain-core`.""" VERSION = "1.7.0"
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import monitoring.spkmon.main as spike_monitor spike_monitor.main()
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from .visualization import * from .pca import * from .tica import *
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import monitoring.ext_stim.main as external_stim external_stim.main()
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"""Minimal runtime for the original FreeSurfer surface algorithms."""
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import morgana.ImageTools.straightmorphology.computestraightmorphology
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from langchain_core.documents import Document __all__ = ["Document"]
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"""All integration tests (tests that call out to an external API)."""
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"""Chain that carries on a conversation from a prompt plus history."""
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from .base import StaticImageSet from .filetree import FileTreeDataset
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from .clustering import * from .trajectory import * from .wss import *
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import shutil print ("Erasing...") shutil.rmtree("R:/Temp/Threads13/")
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from langchain_core.tools import BaseToolkit __all__ = ["BaseToolkit"]
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version_info = (1, 0, 2) __version__ = ".".join(map(str, version_info))
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import shutil print ("Erasing...") shutil.rmtree("R:/Temp/Threads10/")
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import shutil print ("Erasing...") shutil.rmtree("R:/Temp/Threads11/")
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# Copyright (c) Microsoft Corporation. # Licensed under the MIT license.
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from langchain_core.tracers.schemas import Run __all__ = [ "Run", ]
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import shutil print ("Erasing...") shutil.rmtree("R:/Temp/Threads5/")
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import shutil print ("Erasing...") shutil.rmtree("R:/Temp/Threads2/")
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"""An agent designed to hold a conversation in addition to using tools."""
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__author__ = "Colby Chiang (colbychiang@wustl.edu)" __version__ = "v0.7.1"
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from langchain_core.embeddings import Embeddings __all__ = ["Embeddings"]
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import shutil print ("Erasing...") shutil.rmtree("R:/Temp/Threads1/")
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import shutil print ("Erasing...") shutil.rmtree("R:/Temp/Threads4/")
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import shutil print ("Erasing...") shutil.rmtree("R:/Temp/Threads6/")
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__all__ = ["hippoModel", "modelEvaluator", "dataEvaluator", "dataProvider"]
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"""Hypothetical Document Embeddings. https://arxiv.org/abs/2212.10496 """
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import shutil print ("Erasing...") shutil.rmtree("R:/Temp/Threads3/")
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"""Implements the ReAct paper from https://arxiv.org/pdf/2210.03629.pdf."""
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from .equiformer_v3_backbone import EquiformerV3 __all__ = ["EquiformerV3"]
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import napari from skimage import data viewer = napari.Viewer() napari.run()
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from .src.efficient_kan import KANLinear, KAN __all__ = ["KANLinear", "KAN"]
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from langchain_classic.base_memory import BaseMemory __all__ = ["BaseMemory"]
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from langchain_core.prompt_values import PromptValue __all__ = ["PromptValue"]
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import hummuspy.config import hummuspy.explore_network import hummuspy.core_grn
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from langchain_core.chat_sessions import ChatSession __all__ = ["ChatSession"]
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from langchain_core.retrievers import BaseRetriever __all__ = ["BaseRetriever"]
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from ._impl import odeint from ._impl import odeint_adjoint __version__ = "0.1.1"
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from ...models.pytorch.ekan import KANLinear, KAN __all__ = ["KANLinear", "KAN"]
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import coinstac import local import remote coinstac.start(local.run, remote.run)
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from django.apps import AppConfig class PsthConfig(AppConfig): name = 'psth'
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from src import __version__ def test_version(): assert __version__ == "0.1.1"
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# -*- coding: utf-8 -*- """ Created on Mon Jan 25 19:38:11 2021 @author: dmp """
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#!/usr/bin/env python # -*- coding: utf-8 -*- from setuptools import setup setup()
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from . import eq from . import models from . import geometry from . import solver
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from .preprocessing import AbstractPreprocessor __all__ = ["AbstractPreprocessor"]
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"""Chain that makes API calls and summarizes the responses to answer a question."""
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import pkg_resources __version__ = pkg_resources.get_distribution("scaden").version
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import unittest from cases import * if __name__ == "__main__": unittest.main()
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import os PROJECT_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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from langchain_core.stores import BaseStore, K, V __all__ = ["BaseStore", "K", "V"]
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from langchain_core.chat_loaders import BaseChatLoader __all__ = ["BaseChatLoader"]
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from .test_synister_db import * from .test_split import * from .test_source import *
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"""Attempt to implement MRKL systems as described in arxiv.org/pdf/2205.00445.pdf."""
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#!/usr/bin/python import sys import json raise Exception('local only throws error')
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from .get_mesh_descriptors import meshDescriptors __all__ = [ "meshDescriptors" ]
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from HMSA.train import chemprop_train if __name__ == '__main__': chemprop_train()
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from perses.rjmc import geometry, coordinate_numba, coordinate_tools, topology_proposal
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from django.apps import AppConfig class MappingConfig(AppConfig): name = 'mapping'
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import os import sys import re import types import itertools from RnaseqReport import *
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from langchain_core.stores import InvalidKeyException __all__ = ["InvalidKeyException"]
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from langchain_core.runnables.branch import RunnableBranch __all__ = ["RunnableBranch"]
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_SOFTWARE_VERSION = "0.2.0" _HW_MAX_NB_NEURONS = 1024 _HW_DT = 2**(-5) # [ms]
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from langchain_core.cross_encoders import BaseCrossEncoder __all__ = ["BaseCrossEncoder"]
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from langchain_core.exceptions import LangChainException __all__ = ["LangChainException"]
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from langchain_core.utils.formatting import StrictFormatter __all__ = ["StrictFormatter"]
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from .synister_db import SynisterDb from .split import find_optimal_split, ImpossibleSplit
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from easyDesign.utils.version import get_version __version__ = get_version() __all__ = []