sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
2fbc5f8965a651b379762cf6e5aa5e1a8340b2606c9afe612a3883e5d4cf0987 | Python | 118 | 5 | """
Module providing usefull math formulas.
"""
from .math import sigmoid, dirichlet, beta, poisson, average_every_n
|
568c71e21560d79c804d0c7d62e3829302f288dd62dfb9963ed0055b7e49ab1b | Python | 118 | 6 | from .spherenet import SphereNet
from .features import dist_emb, angle_emb, torsion_emb
__all__ = [
'SphereNet'
] |
c3c38d61dc89c56a510525b27a98e8619b77fe88ad64adfc26aa9c49d4a97379 | Python | 119 | 4 | """Top-level package for Fimpy."""
__author__ = """Luigi Petrucco & Vilim Stih @portugueslab"""
__version__ = "0.1.4"
|
c6a92e804789542fd105a4cadcbf43f8b72ff2f2b8976473d0df09537e319349 | Python | 119 | 5 | from django.contrib import admin
# Register your models here.
from .models import markers
admin.site.register(markers) |
2150883d484491161352ff007b08eb93694a96ba73ea01adb330331c9eed9048 | Python | 120 | 3 | # Copyright (C) 2020-2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
"""tests.openfl.databases package."""
|
526a438538ceeb5e14d04a95f28beea58a8b3d70a50518c59d2b8ba986e52b5c | Python | 120 | 6 | from os import walk, path
from datetime import date
from django.contrib import admin
from django.conf import settings
|
7d43bafd5c12bc8fdf4d1545d2626e6c74c9971c5ca5f4c1f499600404cff99e | Python | 120 | 3 |
from sleepy.gui.tagging.model.datasource import DataSource
from sleepy.gui.tagging.model.navigator import Navigator
|
811334026102d9f148bf0680f250d397c5f4c11df472e6d38bbeebdf76f29a6d | Python | 120 | 3 | # Copyright (C) 2020-2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
"""tests.openfl.utilities package."""
|
942780649c68178fa71c2a0ee0e8c0f786ae1986108ca23d818e29379ce20ffb | Python | 120 | 3 | # Copyright (C) 2020-2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
"""tests.openfl.component package."""
|
a45c1ddda9daa96c9b3986195d2ae7883fa4d7d84a9ab5c02ab61ec652e4ade8 | Python | 120 | 3 | # Copyright (C) 2020-2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
"""tests.openfl.pipelines package."""
|
e9fef4fcca6a04ccc4a9ebd7d939211cfe5778c9f78954de8fdc216e46a7e431 | Python | 120 | 5 | # Copyright 2020-2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
"""openfl.utilities.fedcurv package."""
|
01173839cf74eb6bd049ede8d9b6fd5f7ca3bd8b8a0fa5c532e2c6dca25d6cda | Python | 121 | 3 | from setuptools import setup, find_packages
setup(name="src", version="0.0.1", packages=find_packages(include=["src"]))
|
0b075bbf977e57a6eb8a1ed2e9313c83586775050008a17bb83bf3a496211f29 | Python | 122 | 4 | from .node_fm import NodeFM
from .node_drop import NodeDrop
from .edge_per import EdgePer
from .augmenter import Augmenter |
ed8c014f8e3515ae08faf06dd10cf73db4843175e5bb07d7ff027b2bca1fe986 | Python | 122 | 8 | #!/usr/bin/python3
x = input('a number = ')
print('<'.encode())
for ch in x:
print(ch.encode())
print('>'.encode())
|
3b7c359c970e5e3b8ad277fb6adb0b2544614c34c2c9a6b7e8d2bbca9f863e02 | Python | 123 | 5 | # Copyright 2020-2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
from openfl.__version__ import __version__
|
81e91fc0c39caa10e94ccf5fcaa1b0b2b0e58a14c58b49d75141cac5ed245f10 | Python | 124 | 5 | # Copyright 2020-2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
from openfl.federated.plan.plan import Plan
|
89f4ae894142170a1be96a0b9c84ae38e5a34ee0be0454cc3895c0d6122b4892 | Python | 124 | 5 | from .mmp import *
from .precomputed import *
from .scaffold import *
from .tanimoto import *
from .pair_generator import *
|
e8b282d9b3d238dc81a8bd25243b7ed97ba7b3dee815ff001bae07830aa112a6 | Python | 124 | 6 | ## Wrapper for mace.cli.eval_configs.main ##
from mace.cli.eval_configs import main
if __name__ == "__main__":
main()
|
eeb39b707355a4f7f5ac0d1a41937318286a27de61159f6ea3236238dff9b9a5 | Python | 124 | 5 | # Copyright 2020-2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
"""openfl experimental workflow package."""
|
d1c3fc4799745064acae82cf18c679fbd9177258760defc8dabe71d2b66fa9e4 | Python | 127 | 5 | from django.contrib import admin
# Register your models here.
from .models import tcgapatient
admin.site.register(tcgapatient) |
1b0f95c2792780f0049a2545ed3a6e266eef5498cd0a680b611784e8879f746f | Python | 128 | 3 | from .trajectories_creation import produce_output_dict, trajectories_API
__all__ = ["trajectories_API", "produce_output_dict"]
|
a816678a90cc712d057dd20eeb7cf3985da16e3e9e58c283d444b44a7e7a5290 | Python | 128 | 5 | from corgie.main import cli as corgie_command
from corgie.worker import worker as corgie_worker
from corgie.cli import *
|
662d544c052047cb603b14fd68d8af0132f4c64e69c13211f22914da6cf08d0d | Python | 129 | 3 | # Copyright (C) 2020-2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
"""tests.openfl.component.assigner package."""
|
d5f40f34df14e22ef913553f8871ec89c934148a2d38219de91a64e2428faeec | Python | 129 | 1 | """idtracker.ai tools, which have a dedicated command line main entrypoint, can also be called from here as Python functions."""
|
2cf3fc9999ab604f0fcfd633cbaacf949e43fc0a2dd5e11b9e97ee306850eaa9 | Python | 130 | 6 | ## Wrapper for mace.cli.preprocess_data.main ##
from mace.cli.preprocess_data import main
if __name__ == "__main__":
main()
|
4fc96835146e4eefc75cb843f0868e3bcb736558406f2c1b268189cba521b579 | Python | 130 | 3 | from .fragmentation import find_exclusive_contours, fragmentation_API
__all__ = ["fragmentation_API", "find_exclusive_contours"]
|
864769e9842897a9cfdfb814b023b145e06944eb3a13b1fe66ecb39514afe2f9 | Python | 130 | 3 | from .bond_mapper import BondMapper
from .fragment_filter import FragmentFilter
from .fragment_reactions import FragmentReactions
|
941a2f6ae6e0206c3e071285ac8f392bc28adf54cf0c47bbbff80380a35808d0 | Python | 130 | 5 | """Sample size determination."""
from .interpolation import *
from .linear_model import *
from .univariate_correlations import *
|
89bd88eeeae7c532b928997e1ec898d8b374222a7c1f58eb81b7c67b1b85f79d | Python | 131 | 3 | # Copyright (C) 2020-2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
"""tests.openfl.utilities.optimizers package."""
|
a97eea4c862431996270fb1b91bb6fd921e0d35b3ea6de9c0962e91974a712a6 | Python | 131 | 3 | # Copyright (C) 2020-2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
"""tests.openfl.component.aggregator package."""
|
6857c75819bb86ac55dad3bc9b8f877832fbb00ccf303f5fed9e4827fff9d9c0 | Python | 132 | 7 | from __future__ import absolute_import
import numpy as np
from numpy.testing import assert_allclose
from pycircstat import utils
|
6d4ba1984db6f3d8ef8d500e5b68e5c6151fcb34e67587c7215b992fa251aaa2 | Python | 133 | 3 | from .graphflow import GraphFlowModel
from .graphflow_rl import GraphFlowModel_rl
from .graphflow_con_rl import GraphFlowModel_con_rl |
c802090838cb2ac36d434ecaba16daa997b1ba964c659517483a63a1adaa342e | Python | 133 | 3 | # Copyright (C) 2020-2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
"""tests.openfl.component.collaborator package."""
|
edf89861d4450821168ab87d763d266e8eba28d44bbcd1f6937c61b9241600e3 | Python | 133 | 5 | # Copyright 2020-2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
"""openfl.experimental.workflow.protocols module."""
|
ba32c9ba0f35ff564894c21c3799ff90f15c572b507b2378814e05566df880e5 | Python | 134 | 1 | from .fix_default_event_values import (fix_default_event_values,
dir_fix_default_event_values)
|
effc49074dbee9d746bf0bc63c7f99cb70083d1b9e95b0e4782f57d21e30ba58 | Python | 134 | 14 | global LayerIndex
global X
global XI
global t
global mean_l
global mean_L
global Ml
LayerIndex=0
X=[]
XI=[]
t=0
mean_l=0
mean_L=0
Ml=0 |
c5b9f4370265cbaf6be307bd6cbf46522f163311442c3488be44902df70b1620 | Python | 135 | 7 | from dataclasses import dataclass
@dataclass(frozen=True)
class ModelModeEnum:
INFERENCE = "inference"
TRAINING = "training"
|
cc8a37342ea71d96de5da02bf6ec4f5f44bbfa602cdc537d2883790b6c85a473 | Python | 135 | 3 | # Copyright 2025 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
"""This package contains utilities for verifying datasets."""
|
52f39ba1cdfe442a437ba2d65916095bd2ee41a310c683113867e3386bf7cd8b | Python | 137 | 7 | from dataclasses import dataclass
@dataclass
class LeavingGroupsDTO:
leaving_group_scaffold: str
leaving_group_decoration: str
|
f07b9b3b971f218fd34cbe888ed0eb37e9ff14ce2d468cd64b16511cdb0e8f82 | Python | 137 | 6 | """
HCI - Human Computer Interaction
This module contains all the predefined Class and Functions to interact with
the participants.
"""
|
7ab59635cdeb5d6dd99772a6f0c76b36926f5e0c8f91599faa309ed64fbb2ab1 | Python | 138 | 4 | # SPDX-FileCopyrightText: 2022-present Chatipat Lorpaiboon <chatipat@uchicago.edu>
#
# SPDX-License-Identifier: MIT
__version__ = "0.0.1"
|
8b5ee16b8d959dfe79d04ded0b840b271c288d944b638f042f068a426012f0ba | Python | 138 | 5 | # Copyright 2020-2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
"""openfl.experimental.workflow.interface.cli package."""
|
4add63d6872fbe0068b170e2b88e0c475e127cad552117d7a04306432fe58a87 | Python | 139 | 7 | import math as _math
from numpy import pi
def comb(n, k):
return _math.factorial(n) // _math.factorial(k) // _math.factorial(n - k)
|
4355c3e198bb931b547247d2c4efff33266520df67109b5c79b03a57d70260c4 | Python | 140 | 4 | from .vtkhandler import VTKHandler
from .vtuhandler import VTUHandler
from .vtphandler import VTPHandler
from .stlhandler import STLHandler
|
51bbcdd3cfca062f4824e6caae2c063e9b0b811dec8ab7c35beb93f2c54152b2 | Python | 140 | 2 | face_detection_path = 'faceDetection/haarcascade_frontalface_default.xml'
emotion_model_path = 'modelTraining/_mini_XCEPTION.102-0.66.hdf5' |
32a4e869e7ca0c8c4a4032ad52cde1fd394c85f07ff344152ac1970c7e00bcaf | Python | 141 | 7 | # Copyright 2020-2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
"""openfl version information."""
__version__ = "1.9.0.dev"
|
75025d878757fe3ce0c4ff7abbe1f8c71e3fd5c2e539cb2aba099ee1c49184f6 | Python | 141 | 9 |
class UserCancel(Exception):
pass
class NoNavigatorError(Exception):
pass
class NavigatorEmptyError(Exception):
pass
|
b3a3fe2f0f70a36ab24cacdc475f5eb89cf9f96891a6e3487458c3b2cf868141 | Python | 142 | 7 | from ._base import (
AgainstEinsumTestCase,
AgainstNumpyTestCase,
AgainstScipyTestCase,
BackendTestCase,
DtypeTestCase,
)
|
033cf58319c3bf6cbed3aa13f966ac7bb243306a2a0c181d94fd7491d33f4d2a | Python | 143 | 4 |
#from sleepy.processing.core import FileProcessor
from sleepy.processing.valley import Valley
from sleepy.processing.signal import Signal
|
108c37e41a8a3fafa21c3fdf32b63857e2f7ea05405659be586f29d140913efb | Python | 144 | 6 | from django.apps import AppConfig
class CelsusConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'celsus'
|
2b55b3f6a388fe975172d6258cdd6c6f0ccdd27f3b13a085cb130383a2e6c494 | Python | 144 | 4 | from Engine.train import initiate
if __name__ == "__main__":
initiate("D:\\Repos\\LungTumorSegmentation\\Resources\\Test\\test_train.yaml") |
475b1a492cc575710ace0a70fa5a67695cdb359af11d678bd576cf3dbc802084 | Python | 144 | 8 | class MutationError(Exception):
pass
class UniprotNotFoundError(Exception):
pass
class UniprotMultipleOutputError(Exception):
pass |
4d17b094cf780aa382e81199a28aaa6237b1c3aeed909fb43b834e736f7c15e7 | Python | 144 | 5 | """The pydfc toolbox."""
from .similarity_assessment import SimilarityAssessment
__all__ = ["SimilarityAssessment", "plotting", "analytical"]
|
be6208762b1e6379ea27e7a37b7c7875c8d56bd468ae631364f9a84357683ccd | Python | 144 | 4 | # Copyright 2025 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
"""This package contains utilities for PyTorch verifying datasets."""
|
7f92e568d5e005289de1bc00eb7806cb365f0bfe779c4628a0872a2c1a73700d | Python | 145 | 5 | from .multinomial import MultinomialMetricTestData
class CategoricalMetricTestData(MultinomialMetricTestData):
xfails = ("log_after_exp",)
|
404327da89c1bee819796f473cb9d1b4d6b7816418bcd2713c613771352e17d5 | Python | 146 | 8 | # type: ignore
__submodules__ = []
import lazy_loader
__getattr__, __dir__, __all__ = lazy_loader.attach_stub(__name__, __file__)
__all__ = []
|
85cd195d99651e1e6004042423b64e880bc92ec6e9af445ca54b78f2966a4385 | Python | 146 | 5 | from geomstats.test_cases.geometry.base import VectorSpaceOpenSetTestCase
class PoincareHalfSpaceTestCase(VectorSpaceOpenSetTestCase):
pass
|
453e51ebe2f3bd094bb071e2319f634df185f4746ae24eb30b560a357d879fda | Python | 147 | 4 | from Engine.train import initiate
if __name__ == "__main__":
initiate("/home/tumor/LungTumorSegmentation/Resources/Student_Train/train.yaml")
|
79b63efe54bff6116d7f15075b4444441d941454f4f0b08f10cb91a1576d0400 | Python | 147 | 6 | from .cli import *
from .config_parse import *
from .helpers import *
from .logmon import *
from .prior_registry import *
from .hw_report import *
|
7bc9a4b7500eb41c6d3e2c537af09c3aa4872658f2330d4e584ff48f99d83b75 | Python | 147 | 3 | # Copyright (C) 2025 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
"""You may copy this file as the starting point of your own model."""
|
8c056548be245ebcb4579b65c37d282de3fafc72579b672418567716cbc84b29 | Python | 147 | 4 | from Engine.inference import initiate
if __name__ == "__main__":
initiate("/home/tumor/LungTumorSegmentation/Resources/Evaluate/malvik.yaml")
|
e5f45fa6e93eacfbf3d1100b608f710d428ba7f350abc0eb39e28d285a99bce0 | Python | 147 | 5 | # Copyright 2020-2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
from openfl.utilities.fedcurv.torch.fedcurv import FedCurv # NOQA
|
f7d1d0f1ae46e316300eb8d34ed885580a1d2a050b778d73c7498264a869298f | Python | 147 | 6 | """Compatibility entry point for Proj2Proj training."""
from sparse_ct.example.proj2proj_train import main
if __name__ == "__main__":
main()
|
2b0e57ecc6a117d88c73d04299f83990dc0e2fc9ca3f1430ffad6b0cb08de3c4 | Python | 148 | 4 | from .contact_map_utils import *
from .xpdb import SloppyStructureBuilder
from .polypeptide_featurizers import *
from .residue_featurizers import *
|
310cd275706ac9344a93e88b102c555b62430df609cc71bf5e1736ae772b75bf | Python | 148 | 8 | """Stuff that doesn't belong anywhere else
NOTE> should be moved probably
"""
from .image import *
from .helpers import *
from .evaluate import *
|
6112a7f9cb6be0a0ccc10e63814498583343525b7fc22dc47bdc708e1fcc70d3 | Python | 148 | 6 | """ Fixed parameters to affect fontsizes """
fsize_ticks = fsize_legends = 8
fsize_xylabels = 9
fsize_misc = 10
fsize_titles = 11
fsize_panels = 12
|
70641dcebaa515873d308e1aa5d0ece0403e9378e0d532af7b3d181f4106e649 | Python | 148 | 5 | # Copyright 2020-2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
from openfl.component.collaborator.collaborator import Collaborator
|
d70cca5948908808dec5c218f613a5698e3eafab964257908a019ad6e08f84e7 | Python | 148 | 8 | from .aug_dataset import DegreeTrans, AUG_trans, Subset, TripleSet
__all__ = [
'DegreeTrans',
'AUG_trans',
'Subset',
'TripleSet'
]
|
f51a8ec17173033aad7ee7a2f6e25d09e72b382863a2717f25bc12e22aeb87b8 | Python | 148 | 4 | from Engine.inference import initiate
if __name__ == "__main__":
initiate("/home/tumor/LungTumorSegmentation/Resources/Inference/malvik.yaml")
|
7238aba535fca378ba886427318b5e418991e158409961afe96d49dc2a752c6d | Python | 149 | 6 | """
Module for assessing performance.
"""
from .benchmark_decoder import benchmark_BCIdecoder
from .benchmark_multitaper import benchmark_multitaper |
96d4f3a6238b197682df1b6eb70629d35860c69ca8f7f26b88a7a052491121ee | Python | 150 | 6 | '''
Protocol specific post-analysis
Contains the standard analysis for the different procotols
(time-frequency analysis, features importance...)
''' |
fac081fc7f2f215235b3ad9799f8707c3214443457b730c2f926da452c2e6354 | Python | 150 | 3 | from .filtering_condition_dto import FilteringConditionDTO
from .reaction_dto import ReactionDTO
from .reaction_outcome_dto import ReactionOutcomeDTO
|
03f1d9c42e415590d1506a70e3e2ec57ad41ce443d815a6b644e98104af3d4d9 | Python | 152 | 5 | from .create_packages import *
from .diversity_filter import *
from .intrinsic_penalty import *
from .inception import *
from .reward_strategy import *
|
77c602aa72a6cbc2e4b240fc562590ca4460ca2a256adbe005c1fd1082abba1c | Python | 152 | 5 | from geomstats.test_cases.geometry.riemannian_metric import RiemannianMetricTestCase
class QuotientMetricTestCase(RiemannianMetricTestCase):
pass
|
b1e63da24e7f236c2148138965b2e9b3a0dfcd5a8b70ceebe861a03fb594d0d5 | Python | 152 | 3 | # Copyright (C) 2020-2025 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
"""You may copy this file as the starting point of your own model."""
|
b863986c61236e37d47ce16949b98305cc2cb836bbf537516db91de8e15aea62 | Python | 152 | 4 | from Engine.inference import initiate
if __name__ == "__main__":
initiate("D:\\Repos\\LungTumorSegmentation\\Resources\\Test\\test_inference.yaml") |
ce9beecc92eae2e799e7af0b8c879662550824ff7e8344330af7ea26c025f53f | Python | 152 | 3 | # Copyright (C) 2020-2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
"""You may copy this file as the starting point of your own model."""
|
4e6f6eb6a1c518108cfe2c9798f6a017a8b74009007a9f1c16b6fafc1c9a48e9 | Python | 153 | 4 | # Copyright (C) 2020-2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
def collaborator_private_attrs(index):
return {"index": index + 1}
|
85f1594f76e52f38a9ec52fb7e0333181940547ef8111bbf7af87eac12036216 | Python | 153 | 3 | # Copyright (C) 2020-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
"""You may copy this file as the starting point of your own model."""
|
1b15e023251b6e7de3f605342e39717af1705b668e88a022ec88548389fcc5d7 | Python | 154 | 4 | from Engine.evaluate import initiate
if __name__ == "__main__":
initiate("D:\\Repos\\LungTumorSegmentation\\Resources\\Windows_Files\\win_eval.yaml") |
6344a29e744d5193a3df3edc62d4ae0351d183de67d55138c712cc840ca1e926 | Python | 154 | 7 |
'''
Protocol templates
Contains some basic protocols for training and testing.
Google Glass visual feedback is supported through USB communication.
''' |
65e9fe44f51f0428958ae781d556b4d3e2cd5358e5a6dbf7a2702f25f0c78f11 | Python | 154 | 5 | # Copyright (C) 2020-2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
def collaborator_private_attrs(index):
return {"index": index + 1}
|
e2db4557253f04fa981077c7ccaf1a1dce7908b5b6f69d84589749f15b58a9f0 | Python | 154 | 5 | # nequip package version file
# See Python packaging guide
# https://packaging.python.org/guides/single-sourcing-package-version/
__version__ = "0.19.1"
|
4c0a062931d47e93465a2fb262ee59a198dd7fd3c88fcaf1e1289cbccbb4262f | Python | 155 | 4 | """Static feature configuration for the SanPy package."""
# DO_KYMOGRAPH_ANALYSIS = False
"""Whether optional kymograph analysis features are enabled."""
|
f91022b77b3c796503e8b3513f6691c729892d3c356d3face111b3d81fbe33f0 | Python | 155 | 8 | import sys
if sys.version_info[1] > 7:
raise Exception('Requires Python 3.7 or lower')
from sleepy.gui.core import Gui
gui = Gui()
gui.run()
|
fc2bea768ce4c39a9774f78960369dd9929e12400616a9e0d41c65619b44fff6 | Python | 155 | 7 | from reinvent.models.transformer.transformer import TransformerModel
class Mol2MolModel(TransformerModel):
_model_type = "Mol2Mol"
_version = 1
|
62b8e8ed4c970baeb5725a6a0bf558b2d6ff73699eaf2c811992a6bc767f8238 | Python | 156 | 6 | from .optimize_evoked import optimize_evoked
from .general_optimization import (
Optimizer,
generate_opt_history_table,
_update_params,
)
|
c1cdbe463bc79be9cc87223ec58141a9554e5c94dac99b1b33575239967f4ded | Python | 156 | 4 | name_dict = {
'all_names': ['B. wickershamorum', 'P. bethaniensis', 'P. carolinus', 'P. forresti', 'P. frontalis', 'P. knulli',
'P. obscurellus'],
} |
93e1a0f5d4520b6222fb89bd9c3beb477ab25b4bf90a5e46debd9a1da8129e3b | Python | 157 | 8 | from django.conf.urls import url
from . import views
from django.urls import path, include
urlpatterns = [
url(r'^$', views.listing, name='listing'),
] |
1301ba6dcdc0ddf7065e56a1e3e60cf7a5ca89728c8c52fc787cfd0035475a92 | Python | 158 | 4 | from Engine.train import initiate
if __name__ == "__main__":
initiate("/cluster/work/sosevle/LungTumorSegmentation/Resources/Idun_Train_2/train_16.yaml") |
132cd156d8c2ba38bf07d1671058d83bf37f115b0c8d752d4594a236c2405bdd | Python | 158 | 4 | from Engine.train import initiate
if __name__ == "__main__":
initiate("/cluster/work/sosevle/LungTumorSegmentation/Resources/Idun_Train_1/train_75.yaml") |
1ed366b07c21a416e6406dd846cf9282984ea9d8574ae18f16f13c888e6449eb | Python | 158 | 4 | from Engine.train import initiate
if __name__ == "__main__":
initiate("/cluster/work/sosevle/LungTumorSegmentation/Resources/Idun_Train_2/train_32.yaml") |
4748813305aa2c2b6443085750869e36d728cf63085f439a621cdaafefe0f245 | Python | 158 | 4 | from Engine.train import initiate
if __name__ == "__main__":
initiate("/cluster/work/sosevle/LungTumorSegmentation/Resources/Idun_Train_2/train_us.yaml") |
7e7348500b239de09ba4d6db34fc90b18ccf414777bcac9f50db337aae2f747d | Python | 158 | 4 | from Engine.train import initiate
if __name__ == "__main__":
initiate("/cluster/work/sosevle/LungTumorSegmentation/Resources/Idun_Train_1/train_50.yaml") |
9262852880527c1b4da43dff5fd22e3b582d48eb8f6304cd2441ce6204b3787e | Python | 158 | 4 | from Engine.train import initiate
if __name__ == "__main__":
initiate("/cluster/work/sosevle/LungTumorSegmentation/Resources/Idun_Train_1/train_25.yaml") |
9a53e2be59fff30c2f46a6ec6536d7f14f6f99dde860f374958b91dbc7a0c9c7 | Python | 158 | 6 | from reinvent.models.transformer.transformer import TransformerModel
class PepinventModel(TransformerModel):
_model_type = "Pepinvent"
_version = 1
|
e2515e378aa782bce3496d4a8ad0e2d76badbf14ad590fc32dac49ae0fffc4ce | Python | 158 | 4 | from Engine.train import initiate
if __name__ == "__main__":
initiate("/cluster/work/sosevle/LungTumorSegmentation/Resources/Idun_Train_2/train_ud.yaml") |
e3e32f963ed7c6a5889c47c690fc27f775ee258f8e9a4370e9a9e64881104eff | Python | 158 | 4 | from Engine.train import initiate
if __name__ == "__main__":
initiate("/cluster/work/sosevle/LungTumorSegmentation/Resources/Idun_Train_2/train_48.yaml") |
f838cd7cbf8c3cf936d0168d2614c7e4a12b13905c8b7a557eb7d8a8c6ddf7da | Python | 158 | 4 | from Engine.train import initiate
if __name__ == "__main__":
initiate("/cluster/work/sosevle/LungTumorSegmentation/Resources/Idun_Train_2/train_64.yaml") |
4279c52dee13aacdca3545520359dc7085e495c01bf156d243b146dfda2bcdbc | Python | 159 | 9 | from dataclasses import dataclass
@dataclass
class FilteringConditionDTO:
name: str
min: float = None
max: float = None
equals: float = None
|
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