# Copyright 2015 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 StringToNumber op from parsing_ops."""

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

from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import parsing_ops
from tensorflow.python.platform import test

_ERROR_MESSAGE = "StringToNumberOp could not correctly convert string: "


class StringToNumberOpTest(test.TestCase):

  def testToFloat(self):
    with self.test_session():
      input_string = array_ops.placeholder(dtypes.string)
      output = parsing_ops.string_to_number(
          input_string, out_type=dtypes.float32)

      result = output.eval(feed_dict={
          input_string: [
              "0",
              "3",
              "-1",
              "1.12",
              "0xF",
              "   -10.5",
              "3.40282e+38",
              # The next two exceed maximum value for float, so we
              # expect +/-INF to be returned instead.
              "3.40283e+38",
              "-3.40283e+38",
              "NAN",
              "INF"
          ]
      })

      self.assertAllClose([
          0, 3, -1, 1.12, 0xF, -10.5, 3.40282e+38, float("INF"), float("-INF"),
          float("NAN"), float("INF")
      ], result)

      with self.assertRaisesOpError(_ERROR_MESSAGE + "10foobar"):
        output.eval(feed_dict={input_string: ["10foobar"]})

  def testToInt32(self):
    with self.test_session():
      input_string = array_ops.placeholder(dtypes.string)
      output = parsing_ops.string_to_number(input_string, out_type=dtypes.int32)

      result = output.eval(feed_dict={
          input_string:
              ["0", "3", "-1", "    -10", "-2147483648", "2147483647"]
      })

      self.assertAllEqual([0, 3, -1, -10, -2147483648, 2147483647], result)

      with self.assertRaisesOpError(_ERROR_MESSAGE + "2.9"):
        output.eval(feed_dict={input_string: ["2.9"]})

      # The next two exceed maximum value of int32.
      for in_string in ["-2147483649", "2147483648"]:
        with self.assertRaisesOpError(_ERROR_MESSAGE + in_string):
          output.eval(feed_dict={input_string: [in_string]})


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