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1# Copyright 2019 The TensorFlow Authors. All Rights Reserved. 

2# 

3# Licensed under the Apache License, Version 2.0 (the "License"); 

4# you may not use this file except in compliance with the License. 

5# You may obtain a copy of the License at 

6# 

7# http://www.apache.org/licenses/LICENSE-2.0 

8# 

9# Unless required by applicable law or agreed to in writing, software 

10# distributed under the License is distributed on an "AS IS" BASIS, 

11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 

12# See the License for the specific language governing permissions and 

13# limitations under the License. 

14# ============================================================================== 

15"""take-while dataset transformation.""" 

16from tensorflow.python.util import deprecation 

17from tensorflow.python.util.tf_export import tf_export 

18 

19 

20@deprecation.deprecated(None, "Use `tf.data.Dataset.take_while(...)") 

21@tf_export("data.experimental.take_while") 

22def take_while(predicate): 

23 """A transformation that stops dataset iteration based on a `predicate`. 

24 

25 Args: 

26 predicate: A function that maps a nested structure of tensors (having shapes 

27 and types defined by `self.output_shapes` and `self.output_types`) to a 

28 scalar `tf.bool` tensor. 

29 

30 Returns: 

31 A `Dataset` transformation function, which can be passed to 

32 `tf.data.Dataset.apply`. 

33 """ 

34 

35 def _apply_fn(dataset): 

36 return dataset.take_while(predicate=predicate) 

37 

38 return _apply_fn