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/* 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.
==============================================================================*/
// This provides a very simple, boring adaptor for a begin and end iterator
// into a range type. This should be used to build range views that work well
// with range based for loops and range based constructors.
//
// Note that code here follows more standards-based coding conventions as it
// is mirroring proposed interfaces for standardization.
//
// Converted from chandlerc@'s code to Google style by joshl@.
#ifndef TENSORFLOW_LIB_GTL_ITERATOR_RANGE_H_
#define TENSORFLOW_LIB_GTL_ITERATOR_RANGE_H_
#include <utility>
namespace tensorflow {
namespace gtl {
// A range adaptor for a pair of iterators.
//
// This just wraps two iterators into a range-compatible interface. Nothing
// fancy at all.
template <typename IteratorT>
class iterator_range {
public:
using value_type = decltype(*std::declval<IteratorT>());
using iterator = IteratorT;
using const_iterator = IteratorT;
iterator_range() : begin_iterator_(), end_iterator_() {}
iterator_range(IteratorT begin_iterator, IteratorT end_iterator)
: begin_iterator_(std::move(begin_iterator)),
end_iterator_(std::move(end_iterator)) {}
IteratorT begin() const { return begin_iterator_; }
IteratorT end() const { return end_iterator_; }
private:
IteratorT begin_iterator_, end_iterator_;
};
// Convenience function for iterating over sub-ranges.
//
// This provides a bit of syntactic sugar to make using sub-ranges
// in for loops a bit easier. Analogous to std::make_pair().
template <class T>
iterator_range<T> make_range(T x, T y) {
return iterator_range<T>(std::move(x), std::move(y));
}
} // namespace gtl
} // namespace tensorflow
#endif // TENSORFLOW_LIB_GTL_ITERATOR_RANGE_H_
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