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36b396200d041a48b3b7eef727959b9dcbd26020a20570101b631c625786f7dd
Python
133
3
from langchain_core.utils.iter import NoLock, Tee, batch_iterate, tee_peer __all__ = ["NoLock", "Tee", "batch_iterate", "tee_peer"]
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Python
135
3
from bindsnet.analysis import pipeline_analysis, plotting, visualization __all__ = ["plotting", "visualization", "pipeline_analysis"]
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Python
136
6
import pycircos.pycircos as pc import pycircos.tree as pt Garc = pc.Garc Gcircle = pc.Gcircle Tarc = pt.Tarc Tcircle = pt.Tcircle
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Python
136
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from langchain_core.example_selectors.length_based import ( LengthBasedExampleSelector, ) __all__ = ["LengthBasedExampleSelector"]
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Python
137
3
from langchain_core.vectorstores import VST, VectorStore, VectorStoreRetriever __all__ = ["VST", "VectorStore", "VectorStoreRetriever"]
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Python
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from .config_handler import YamlHandler from .metrics import Metrics from .util import ( pad_1d_tokens, pad_2d, pad_coords, )
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Python
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from .iva_g import iva_g from .iva_l_sos import iva_l_sos from .helpers_iva import whiten_data from .consistent_iva import consistent_iva
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Python
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6
import shutil print ("Erasing...") shutil.rmtree("R:/Temp/Threads3/") shutil.copyfile('./required_files/Values.csv', './Calibrated.csv')
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Python
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from django.contrib import admin from .models import Map class MapAdmin(admin.ModelAdmin): pass admin.site.register(Map, MapAdmin)
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Python
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"""ARGNet By scpeiyao scpeiyao@gmail.com a deep neural network for antibitotic resistance genes identification""" __version__ = '0.1.0'
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Python
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# -*- coding: utf-8 -*- """ Created on Mon Feb 28 18:00:22 2022 @author: gui_d """ import os os.system('cmd /k "perl ..\\bin\\circos"')
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Python
139
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import shutil print ("Erasing...") shutil.rmtree("R:/Temp/Threads16/") shutil.copyfile('./required_files/Values.csv', './Calibrated.csv')
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Python
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def is_interactive_env() -> bool: """Determine if running within IPython or Jupyter.""" import sys return hasattr(sys, "ps2")
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Python
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import numpy as np def myDistFunc(x): y = 1 + np.sign(x / 10 + 50 * np.sin(2 * np.pi * x / 200) * np.tanh(x / 100)) return y
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Python
139
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from lips.dataset.airfransDataSet import download_data directory_name='Dataset' download_data(root_path=".", directory_name=directory_name)
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Python
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""" Simple access to all tables """ from chreyesees.db import schema from chreyesees.processing import * from chreyesees.analysis import *
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Python
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import shutil print ("Erasing...") shutil.rmtree("R:/Temp/Threads10/") shutil.copyfile('./required_files/Values.csv', './Calibrated.csv')
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Python
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"""Chain that tries to verify assumptions before answering a question. Heavily borrowed from https://github.com/jagilley/fact-checker """
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Python
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from .modules import GammaLoss, GaussianLoss, PoissonLoss from .np_functions import corr from .zero_inflated_losses import ZIGLoss, ZILLoss
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Python
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import pandas as pd def dataframe_from_csv(path, header=0, index_col=0): return pd.read_csv(path, header=header, index_col=index_col)
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Python
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from abc import ABC, abstractmethod class InverseFoldModel(ABC): @abstractmethod def predict(self, pdb_filepath): raise NotImplemented
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Python
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from django.urls import path from . import views app_name = 'psth' urlpatterns = [ path('', views.IndexView.as_view(), name='index'), ]
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Python
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from qm9.data.utils import initialize_datasets from qm9.data.collate import PreprocessQM9 from qm9.data.dataset_class import ProcessedDataset
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Python
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"""Chain that interprets a prompt and executes python code to do math. Heavily borrowed from https://replit.com/@amasad/gptpy?v=1#main.py """
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Python
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from .tanh_saturation import tanh_saturation from .common_mode_noise_canceller.common_mode_noise_canceller import common_mode_noise_canceller
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Python
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from langchain_classic.chains.elasticsearch_database.base import ( ElasticsearchDatabaseChain, ) __all__ = ["ElasticsearchDatabaseChain"]
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Python
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from django.urls import path from . import views app_name = 'mapping' urlpatterns = [ path('', views.IndexView.as_view(), name='index'), ]
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Python
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from .geometric_computing import xyztodat, xyztoda, dattoxyz from .graphbp import GraphBP from .features import dist_emb, angle_emb, torsion_emb
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Python
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from .inherited import ( inheritedFCLayer, singleInputInheritedFCLayer, cosSinLayer, cosLayer, sinLayer, PILayer )
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Python
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from django.contrib import admin from .models import Trial class TrialAdmin(admin.ModelAdmin): pass admin.site.register(Trial, TrialAdmin)
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Python
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from django.contrib import admin from .models import Scene class SceneAdmin(admin.ModelAdmin): pass admin.site.register(Scene, SceneAdmin)
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Python
146
4
from langchain_classic.agents.output_parsers.self_ask import SelfAskOutputParser # For backwards compatibility __all__ = ["SelfAskOutputParser"]
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Python
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4
# setup.py from setuptools import setup, find_packages setup(name='trajectory_reconstruction_tradeoff', version='1.0.0', packages=find_packages())
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Python
147
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import morgana.DatasetTools.morphology.io import morgana.DatasetTools.morphology.computemorphology import morgana.DatasetTools.morphology.overview
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Python
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from django.urls import path from . import views app_name = 'clustering' urlpatterns = [ path('', views.IndexView.as_view(), name='index'), ]
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Python
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import pytest @pytest.mark.compile def test_placeholder() -> None: """Used for compiling integration tests without running any real tests."""
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Python
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from django.urls import path from . import views app_name = 'pl2kilosort' urlpatterns = [ path('', views.IndexView.as_view(), name='index'), ]
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Python
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from langchain_classic.chains.query_constructor.base import ( load_query_constructor_runnable, ) __all__ = ["load_query_constructor_runnable"]
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Python
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from langchain_core.utils.strings import comma_list, stringify_dict, stringify_value __all__ = ["comma_list", "stringify_dict", "stringify_value"]
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Python
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from .statistics import * from .relative_entropy import * from .statespecific import * from .visualization import * from .metrics import *
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Python
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from PeakcallingReport import * from cgatReport.Tracker import * class BamSummary(CallingTracker, SingleTableTrackerRows): table = "bam_stats"
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Python
149
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from setuptools import setup from setuptools import find_packages setup( name="edNEGmodel", packages=find_packages(), version="v2.0.0")
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Python
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from setuptools import setup import site import sys site.ENABLE_USER_SITE = "--user" in sys.argv[1:] setup(package_data={'sincFold': ['tools/*']})
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Python
149
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from langchain_core.agents import AgentAction, AgentActionMessageLog, AgentFinish __all__ = ["AgentAction", "AgentActionMessageLog", "AgentFinish"]
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Python
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from django.urls import path from . import views app_name = 'brain_render' urlpatterns = [ path('', views.IndexView.as_view(), name='index'), ]
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Python
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from langchain_core.exceptions import TracerException from langchain_core.tracers.base import BaseTracer __all__ = ["BaseTracer", "TracerException"]
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Python
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"""Keep here for backwards compatibility.""" from langchain_classic.chains.example_generator import generate_example __all__ = ["generate_example"]
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Python
151
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from langchain_classic.chains.openai_tools.extraction import ( create_extraction_chain_pydantic, ) __all__ = ["create_extraction_chain_pydantic"]
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Python
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"""DDSurfer surface inference for left, right, or both hemispheres.""" from inference.predict import main if __name__ == '__main__': main('both')
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Python
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class HardwareSequences: def __init__(self): self.device_names = [] self.property_names = [] self.property_device_names = []
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Python
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import os.path from web.options.options import WORK_OUT_DIR """Init work out dir""" if not os.path.exists(WORK_OUT_DIR): os.makedirs(WORK_OUT_DIR)
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#!/usr/bin/env python3 import sys for line in open(sys.argv[1]): ssline = line.strip().split('\t') if ssline[0] == sys.argv[2]: print(line.strip())
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Python
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from langchain_core.prompts.prompt import PromptTemplate # For backwards compatibility. Prompt = PromptTemplate __all__ = ["Prompt", "PromptTemplate"]
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from django.contrib import admin from .models import Cluster class ClusterAdmin(admin.ModelAdmin): pass admin.site.register(Cluster, ClusterAdmin)
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"""Declaring MySQL database """ import datajoint as dj dj.conn() schema = dj.Schema('colormedulla') schema_modeling = dj.Schema('colormedulla_modeling')
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Python
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from django.urls import path from . import views urlpatterns = [ path('', views.index, name='index'), path('ajax', views.display, name='display') ]
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from django.contrib import admin from .models import Analysis class AnalysisAdmin(admin.ModelAdmin): pass admin.site.register(Analysis, AnalysisAdmin)
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Python
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from langchain_classic.chains.summarize.chain import ( LoadingCallable, load_summarize_chain, ) __all__ = ["LoadingCallable", "load_summarize_chain"]
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Python
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import math import torch @torch.jit.script def ShiftedSoftPlus(x: torch.Tensor) -> torch.Tensor: return torch.nn.functional.softplus(x) - math.log(2.0)
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Python
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# -*- coding: utf-8 -*- import sys import os sys.path.insert(0, os.path.abspath('..')) from svtyper import classic, statistics, utils, parsers, singlesample
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Python
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#!/usr/bin/env python3 import subprocess as sp import shlex import sys jobid_list = ', '.join(sys.argv[1:]) sp.check_call(shlex.split(f"qdel {jobid_list}"))
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#!/usr/bin/env python3 import sys def main() -> int: print("Hello World!") # noqa: T201 return 0 if __name__ == "__main__": sys.exit(main())
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from .perov_5_config_dict import conf as perov_5_conf from .carbon_24_config_dict import conf as carbon_24_conf from .mp_20_config_dict import conf as mp_20_conf
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Python
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from langchain_classic.schema.chat import __all__ EXPECTED_ALL = ["ChatSession"] def test_all_imports() -> None: assert set(__all__) == set(EXPECTED_ALL)
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from langchain_classic.schema.memory import __all__ EXPECTED_ALL = ["BaseMemory"] def test_all_imports() -> None: assert set(__all__) == set(EXPECTED_ALL)
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from .preprocessing import * from .features import * from .statesinfo import * from .clusters import * from .comparison import * from .dimensionality import *
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Wed Apr 7 18:01:35 2021 @author: mariano """ # env settings strHome = '.' strData = 'data/'
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from langchain_classic.schema.prompt import __all__ EXPECTED_ALL = ["PromptValue"] def test_all_imports() -> None: assert set(__all__) == set(EXPECTED_ALL)
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from .annotations_display import * from .annotations_io import * from .dataclass_helpers import * from .io import * from .shapes import * from .transform import *
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from .load_intan_rhd_format import read_data, get_n_samples_in_data from .intanutil.read_header import read_header # from .intanutil.notch_filter import notch_filter
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from langchain_classic.chains.question_answering.chain import ( LoadingCallable, load_qa_chain, ) __all__ = [ "LoadingCallable", "load_qa_chain", ]
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from langchain_classic.schema.embeddings import __all__ EXPECTED_ALL = ["Embeddings"] def test_all_imports() -> None: assert set(__all__) == set(EXPECTED_ALL)
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from .distribution_encoders import GammaEncoder, GaussianEncoder from .firing_rate import FiringRateEncoder from .zero_inflation_encoders import ZIGEncoder, ZILEncoder
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from langchain_classic.schema.retriever import __all__ EXPECTED_ALL = ["BaseRetriever"] def test_all_imports() -> None: assert set(__all__) == set(EXPECTED_ALL)
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from langchain_core.tracers.stdout import ( ConsoleCallbackHandler, FunctionCallbackHandler, ) __all__ = ["ConsoleCallbackHandler", "FunctionCallbackHandler"]
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"""DEPRECATED: Kept for backwards compatibility.""" from langchain_core.utils.formatting import StrictFormatter, formatter __all__ = ["StrictFormatter", "formatter"]
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import torch def rmsd(x_pred, x, mask, eps=1e-10): rmsds = (eps + torch.sum((x_pred - x) ** 2, dim=-1)) ** 0.5 return torch.sum(rmsds * mask) / torch.sum(mask)
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from torch import nn ACTIVATION_REGISTRY = { "relu": nn.ReLU(), "silu": nn.SiLU(), "gelu": nn.GELU(), "tanh": nn.Tanh(), "sigmoid": nn.Sigmoid(), }
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from . import plotting as pl from . import distances as ds from . import io as io from . import trajectory as tr from . import opt as opt from . import downstream as dw
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from .painn import PaiNN from .lightning import PaiNNLightning from .painn_foundation import PaiNN as PaiNNFoundation __all__ = [PaiNN, PaiNNLightning, PaiNNFoundation]
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from bindsnet.network import monitors, nodes, topology from bindsnet.network.network import Network, load __all__ = ["Network", "load", "nodes", "topology", "monitors"]
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from . import rppo from .rppo import ExperimentConfig, ActorCritic from .cell import EnvParams __all__ = [ "ExperimentConfig", "ActorCritic", "EnvParams", ]
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""" Unit and regression test for the arsenic package. """ # Import package, test suite, and other packages as needed from openff import arsenic import pytest import sys
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from .lrp import LayerwiseRelevancePropagator, LRP from .restructured_lrp import RestructuredLayerwiseRelevancePropagator, \ RestructuredLRP
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# -- coding: utf-8 -- # @Time : 2023/5/14 10:05 # @Author : Biao Zhang # @Email : littlebiao@outlook.com # @File : __init__.py.py # @Description: This file is used to ...
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4
def tolerable(first_point, second_point, tolerance): if (abs(2*(first_point-second_point)/(first_point+second_point)) <= tolerance): return True else: return False
ca4d3ca0b6406237846225d9c887354dba16d5eecb5ef4c4823ce54803bb0430
Python
172
7
from langchain_classic.schema.storage import __all__ EXPECTED_ALL = ["BaseStore", "K", "V"] def test_all_imports() -> None: assert set(__all__) == set(EXPECTED_ALL)
280d01a305c02c14b4bec4a57c01541e089e16e2acc36fc665b4c7f77c863b1e
Python
173
4
def tolerable(first_point, second_point, tolerance): if (abs(2*(first_point-second_point)/(first_point+second_point)) <= tolerance): return True else: return False
9b2709fb6eeb69caf896bee9db0e74feb20255af8ed1311c9e61a5f751f1be7a
Python
173
8
from ._tags import OBJECT_TYPES, TAG_REGISTER, all_tags, check_tag_is_valid __all__ = [ "OBJECT_TYPES", "TAG_REGISTER", "all_tags", "check_tag_is_valid", ]
bf9105cf6e63fbd57f732a482ed2d76a13ad2aad800940c67a3f07065ff2b9e2
Python
173
5
from .runner import run_genie from .runner import run_genie_mem from .runner import run_genie_multi_pheno __all__ = ['run_genie', 'run_genie_mem', 'run_genie_multi_pheno']
89b8628da6327f4ebf4286fd6075eb487cf10f548af08a57ea58a2985599c900
Python
174
7
from langchain_classic.schema.exceptions import __all__ EXPECTED_ALL = ["LangChainException"] def test_all_imports() -> None: assert set(__all__) == set(EXPECTED_ALL)
97e4954428c14ce5923f05f38f3b05d0692e03113c78e6719f052a0b62d43df3
Python
174
5
"""Callback Handler streams to stdout on new llm token.""" from langchain_core.callbacks import StreamingStdOutCallbackHandler __all__ = ["StreamingStdOutCallbackHandler"]
9b7bf87a7f08be932de06671d4def6c38d2860c6b2714670de10c03083aab624
Python
174
5
from langchain_classic.agents.format_scratchpad.tools import ( format_to_tool_messages as format_to_openai_tool_messages, ) __all__ = ["format_to_openai_tool_messages"]
48b4ab543bb0a39f2899cbe06e6c0973418868566983824e78398bff55921f96
Python
175
3
from .model import LayerwiseRelevancePropagator, LRP, \ RestructuredLayerwiseRelevancePropagator, RestructuredLRP from .utils.strategies import LRPStrategy
eadb8e96034bf6157f4d2e6d34833b9bfd396b5fce966ccb9c16597ae402fd04
Python
175
7
from langchain_classic.schema.runnable.branch import __all__ EXPECTED_ALL = ["RunnableBranch"] def test_all_imports() -> None: assert set(__all__) == set(EXPECTED_ALL)
ee1cc5e45873e10fd063dad9b583b497f5220caad4d93cb887f708341789fd68
Python
175
4
import morgana.ImageTools.locoefa.io import morgana.ImageTools.locoefa.computecoeff import morgana.ImageTools.locoefa.initialize import morgana.ImageTools.locoefa.reconstruct
4dad06ca85143243810c5c3e59b2b86ae5289a39d07a10f17b2709b342fd2f5d
Python
176
6
from langchain_core.tracers.evaluation import ( EvaluatorCallbackHandler, wait_for_all_evaluators, ) __all__ = ["EvaluatorCallbackHandler", "wait_for_all_evaluators"]
bf1c00ac971804c9ce59491e8949743e403dc9bf46e2afedfee102bbb14c4d4a
Python
177
7
from langchain_classic.prompts.prompt import __all__ EXPECTED_ALL = ["Prompt", "PromptTemplate"] def test_all_imports() -> None: assert set(__all__) == set(EXPECTED_ALL)
09deea93bdc8c3fbd31ad312adff9f5a74c8253d33310ce9e13b75f23c9100b7
Python
178
8
"""All unit tests (lightweight tests).""" from typing import Any def assert_all_importable(module: Any) -> None: for attr in module.__all__: getattr(module, attr)
8d03aebc4e5ab01636d686691678917f443f47f48b3bdf0ba72e6d9db330f6d5
Python
178
7
from langchain_classic.schema.runnable.retry import __all__ EXPECTED_ALL = ["RunnableRetry", "U"] def test_all_imports() -> None: assert set(__all__) == set(EXPECTED_ALL)