# Path: alphafold/model/tf/shape_helpers.py
# def shape_list(x):


from alphafold.model.tf import shape_helpers
import numpy as np
import tensorflow.compat.v1 as tf
# Copyright 2021 DeepMind Technologies Limited
#
# 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.

"""Tests for shape_helpers."""



class ShapeTest(tf.test.TestCase):

  def test_shape_list(self):
    """Test that shape_list can allow for reshaping to dynamic shapes."""
    a = tf.zeros([10, 4, 4, 2])
    p = tf.placeholder(tf.float32, shape=[None, None, 1, 4, 4])

# Path: alphafold/model/tf/shape_helpers.py
# def shape_list(x):


# Path: alphafold/model/tf/shape_helpers_test.py
from alphafold.model.tf import shape_helpers
import numpy as np
import tensorflow.compat.v1 as tf

# Copyright 2021 DeepMind Technologies Limited
#
# 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.

"""Tests for shape_helpers."""



class ShapeTest(tf.test.TestCase):

  def test_shape_list(self):
    """Test that shape_list can allow for reshaping to dynamic shapes."""
    a = tf.zeros([10, 4, 4, 2])
    p = tf.placeholder(tf.float32, shape=[None, None, 1, 4, 4])

    shape_dyn = shape_helpers.shape_list(p)[:2] + [4, 4]