https://github.com/pymc-devs/pymc3
Tip revision: 118be0f23782945dc03c5fb36d58d6ce4a1f619f authored by Ricardo Vieira on 07 November 2023, 11:46:49 UTC
Add test for Blockwise logp regression
Add test for Blockwise logp regression
Tip revision: 118be0f
vartypes.py
# 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.
__all__ = [
"bool_types",
"int_types",
"float_types",
"complex_types",
"continuous_types",
"discrete_types",
"typefilter",
"isgenerator",
]
bool_types = {"int8"}
int_types = {"int8", "int16", "int32", "int64", "uint8", "uint16", "uint32", "uint64"}
float_types = {"float32", "float64"}
complex_types = {"complex64", "complex128"}
continuous_types = float_types | complex_types
discrete_types = bool_types | int_types
string_types = str
def typefilter(vars, types):
# Returns variables of type `types` from `vars`
return [v for v in vars if v.dtype in types]
def isgenerator(obj):
return hasattr(obj, "__next__")