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senpy/senpy/gsitk_compat.py

68 lines
2.2 KiB
Python

#
# Copyright 2014 Grupo de Sistemas Inteligentes (GSI) DIT, UPM
#
# 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 agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import logging
import os
from pkg_resources import parse_version, get_distribution, DistributionNotFound
logger = logging.getLogger(__name__)
MSG = 'GSITK is not (properly) installed.'
IMPORTMSG = '{} Some functions will be unavailable.'.format(MSG)
RUNMSG = '{} Install it to use this function.'.format(MSG)
def raise_exception(*args, **kwargs):
raise Exception(RUNMSG)
try:
gsitk_distro = get_distribution("gsitk")
GSITK_VERSION = parse_version(gsitk_distro.version)
if not os.environ.get('DATA_PATH'):
os.environ['DATA_PATH'] = os.environ.get('SENPY_DATA', 'senpy_data')
from gsitk.datasets.datasets import DatasetManager
from gsitk.evaluation.evaluation import Evaluation as Eval # noqa: F401
from gsitk.evaluation.evaluation import EvalPipeline # noqa: F401
from sklearn.pipeline import Pipeline
modules = locals()
GSITK_AVAILABLE = True
datasets = {}
manager = DatasetManager()
for item in manager.get_datasets():
for key in item:
if key in datasets:
continue
properties = item[key]
properties['@id'] = key
datasets[key] = properties
def prepare(ds, *args, **kwargs):
return manager.prepare_datasets(ds, *args, **kwargs)
except (DistributionNotFound, ImportError) as err:
logger.debug('Error importing GSITK: {}'.format(err))
logger.warning(IMPORTMSG)
GSITK_AVAILABLE = False
GSITK_VERSION = ()
DatasetManager = Eval = Pipeline = prepare = raise_exception
datasets = {}