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81 lines (68 loc) · 2.51 KB
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# Copyright 2023 The PyMC Developers
#
# 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.
# pylint: disable=wildcard-import
import logging
_log = logging.getLogger(__name__)
if not logging.root.handlers:
_log.setLevel(logging.INFO)
if len(_log.handlers) == 0:
handler = logging.StreamHandler()
_log.addHandler(handler)
def __set_compiler_flags():
# Workarounds for PyTensor compiler problems on various platforms
import pytensor
current = pytensor.config.gcc__cxxflags
augmented = f"{current} -Wno-c++11-narrowing"
# Work around compiler bug in GCC < 8.4 related to structured exception
# handling registers on Windows.
# See https://gcc.gnu.org/bugzilla/show_bug.cgi?id=65782 for details.
# First disable C++ exception handling altogether since it's not needed
# for the C extensions that we generate.
augmented = f"{augmented} -fno-exceptions"
# Now disable the generation of stack unwinding tables.
augmented = f"{augmented} -fno-unwind-tables -fno-asynchronous-unwind-tables"
pytensor.config.gcc__cxxflags = augmented
__set_compiler_flags()
from pymc import _version, gp, ode, sampling
from pymc.backends import *
from pymc.blocking import *
from pymc.data import *
from pymc.distributions import *
from pymc.exceptions import *
from pymc.func_utils import find_constrained_prior
from pymc.logprob import *
from pymc.math import (
expand_packed_triangular,
invlogit,
invprobit,
logaddexp,
logit,
logsumexp,
probit,
)
from pymc.model.core import *
from pymc.model.transform.conditioning import do, observe
from pymc.model_graph import model_to_graphviz, model_to_networkx
from pymc.plots import *
from pymc.printing import *
from pymc.pytensorf import *
from pymc.sampling import *
from pymc.smc import *
from pymc.stats import *
from pymc.step_methods import *
from pymc.tuning import *
from pymc.util import drop_warning_stat
from pymc.variational import *
from pymc.vartypes import *
__version__ = _version.get_versions()["version"]