# Copyright 2026 Hackable Diffusion Authors.

#

# 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.

"""Data loading helpers."""

import tensorflow as tf

import tensorflow_datasets as tfds

@tfds.decode.make_decoder()

def decode_and_central_square_crop(img: tf.Tensor, feature) -> tf.Tensor:

"""Crop to square along the long edge."""

del feature # Unused.

h, w, _ = tf.unstack(tf.io.extract_jpeg_shape(img))

box = tf.where(h > w, [h // 2 - w // 2, 0, w, w], [0, w // 2 - h // 2, h, h])

return tf.image.decode_and_crop_jpeg(img, box, channels=3)