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# Licensed to Modin Development Team under one or more contributor license agreements.
# See the NOTICE file distributed with this work for additional information regarding
# copyright ownership. The Modin Development Team licenses this file to you 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.
"""Module houses builder class for Fold operator."""
from .operator import Operator
class Fold(Operator):
"""Builder class for Fold functions."""
@classmethod
def call(cls, fold_function):
"""
Build Fold operator that will be performed across rows/columns.
Parameters
----------
fold_function : callable(pandas.DataFrame) -> pandas.DataFrame
Function to apply across rows/columns.
Returns
-------
callable
Function that takes query compiler and executes Fold function.
"""
def caller(query_compiler, fold_axis=None, *args, **kwargs):
"""
Execute Fold function against passed query compiler.
Parameters
----------
query_compiler : BaseQueryCompiler
The query compiler to execute the function on.
fold_axis : int, optional
0 or None means apply across full column partitions. 1 means
apply across full row partitions.
*args : iterable
Additional arguments passed to fold_function.
**kwargs: dict
Additional keyword arguments passed to fold_function.
Returns
-------
BaseQueryCompiler
A new query compiler representing the result of executing the
function.
"""
return query_compiler.__constructor__(
query_compiler._modin_frame.fold(
cls.validate_axis(fold_axis),
lambda x: fold_function(x, *args, **kwargs),
)
)
return caller