# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# 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 utilities working with user input."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from tensorflow.python.data.util import convert
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import tensor_shape
from tensorflow.python.platform import test
from tensorflow.python.util import compat


class ConvertTest(test.TestCase):

  def testInteger(self):
    resp = convert.optional_param_to_tensor("foo", 3)
    with self.cached_session() as sess:
      self.assertEqual(3, sess.run(resp))

  def testIntegerDefault(self):
    resp = convert.optional_param_to_tensor("foo", None)
    with self.cached_session() as sess:
      self.assertEqual(0, sess.run(resp))

  def testStringDefault(self):
    resp = convert.optional_param_to_tensor("bar", None, "default",
                                            dtypes.string)
    with self.cached_session() as sess:
      self.assertEqual(compat.as_bytes("default"), sess.run(resp))

  def testString(self):
    resp = convert.optional_param_to_tensor("bar", "value", "default",
                                            dtypes.string)
    with self.cached_session() as sess:
      self.assertEqual(compat.as_bytes("value"), sess.run(resp))

  def testPartialShapeToTensorKnownDimension(self):
    with self.cached_session() as sess:
      self.assertAllEqual([1], sess.run(convert.partial_shape_to_tensor(
          tensor_shape.TensorShape([1]))))
      self.assertAllEqual([1], sess.run(convert.partial_shape_to_tensor((1,))))
      self.assertAllEqual([1], sess.run(convert.partial_shape_to_tensor([1])))
      self.assertAllEqual([1], sess.run(convert.partial_shape_to_tensor(
          constant_op.constant([1], dtype=dtypes.int64))))

  def testPartialShapeToTensorUnknownDimension(self):
    with self.cached_session() as sess:
      self.assertAllEqual([-1], sess.run(convert.partial_shape_to_tensor(
          tensor_shape.TensorShape([None]))))
      self.assertAllEqual([-1], sess.run(convert.partial_shape_to_tensor(
          (None,))))
      self.assertAllEqual([-1], sess.run(convert.partial_shape_to_tensor(
          [None])))
      self.assertAllEqual([-1], sess.run(convert.partial_shape_to_tensor(
          [-1])))
      self.assertAllEqual([-1], sess.run(convert.partial_shape_to_tensor(
          constant_op.constant([-1], dtype=dtypes.int64))))

    with self.assertRaisesRegexp(
        ValueError, r"The given shape .* must be a 1-D tensor of tf.int64 "
        r"values, but the shape was \(2, 2\)."):
      convert.partial_shape_to_tensor(constant_op.constant(
          [[1, 1], [1, 1]], dtype=dtypes.int64))

    with self.assertRaisesRegexp(
        TypeError, r"The given shape .* must be a 1-D tensor of tf.int64 "
        r"values, but the element type was float32."):
      convert.partial_shape_to_tensor(constant_op.constant([1., 1.]))

  def testPartialShapeToTensorMultipleDimensions(self):
    with self.cached_session() as sess:
      self.assertAllEqual([3, 6], sess.run(convert.partial_shape_to_tensor(
          tensor_shape.TensorShape([3, 6]))))
      self.assertAllEqual([3, 6], sess.run(convert.partial_shape_to_tensor(
          (3, 6))))
      self.assertAllEqual([3, 6], sess.run(convert.partial_shape_to_tensor(
          [3, 6])))
      self.assertAllEqual([3, 6], sess.run(convert.partial_shape_to_tensor(
          constant_op.constant([3, 6], dtype=dtypes.int64))))

      self.assertAllEqual([3, -1], sess.run(convert.partial_shape_to_tensor(
          tensor_shape.TensorShape([3, None]))))
      self.assertAllEqual([3, -1], sess.run(convert.partial_shape_to_tensor(
          (3, None))))
      self.assertAllEqual([3, -1], sess.run(convert.partial_shape_to_tensor(
          [3, None])))
      self.assertAllEqual([3, -1], sess.run(convert.partial_shape_to_tensor(
          constant_op.constant([3, -1], dtype=dtypes.int64))))

      self.assertAllEqual([-1, -1], sess.run(convert.partial_shape_to_tensor(
          tensor_shape.TensorShape([None, None]))))
      self.assertAllEqual([-1, -1], sess.run(convert.partial_shape_to_tensor(
          (None, None))))
      self.assertAllEqual([-1, -1], sess.run(convert.partial_shape_to_tensor(
          [None, None])))
      self.assertAllEqual([-1, -1], sess.run(convert.partial_shape_to_tensor(
          constant_op.constant([-1, -1], dtype=dtypes.int64))))

  def testPartialShapeToTensorScalar(self):
    with self.cached_session() as sess:
      self.assertAllEqual([], sess.run(convert.partial_shape_to_tensor(
          tensor_shape.TensorShape([]))))
      self.assertAllEqual([], sess.run(convert.partial_shape_to_tensor(())))
      self.assertAllEqual([], sess.run(convert.partial_shape_to_tensor([])))
      self.assertAllEqual([], sess.run(convert.partial_shape_to_tensor(
          constant_op.constant([], dtype=dtypes.int64))))


if __name__ == "__main__":
  test.main()