tmp/tmpr1xdnx8m/{from.md → to.md}
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#### Overview <a id="range.drop.overview">[[range.drop.overview]]</a>
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`drop_view` produces a
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-
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The name `views::drop` denotes a range adaptor object
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[[range.adaptor.object]]. Let `E` and `F` be expressions, let `T` be
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`remove_cvref_t<decltype((E))>`, and let `D` be
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`range_difference_t<decltype((E))>`. If `decltype((F))` does not model
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`convertible_to<D>`, `views::drop(E, F)` is ill-formed. Otherwise, the
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expression `views::drop(E, F)` is expression-equivalent to:
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- If `T` is a specialization of `
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- Otherwise, if `T` models `random_access_range` and `sized_range` and
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is
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- a specialization of `span` [[views.span]]
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`T::extent == dynamic_extent`,
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- a specialization of `basic_string_view` [[string.view]],
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- a specialization of `
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- a specialization of `
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then
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`
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except that `E` is evaluated only once
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-
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[*Example 1*:
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``` cpp
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auto ints = views::iota(0) | views::take(10);
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auto
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for (auto i : latter_half) {
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cout << i << ' '; // prints 5 6 7 8 9
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}
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```
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— *end example*]
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#### Overview <a id="range.drop.overview">[[range.drop.overview]]</a>
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`drop_view` produces a view excluding the first N elements from another
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view, or an empty range if the adapted view contains fewer than N
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elements.
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The name `views::drop` denotes a range adaptor object
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[[range.adaptor.object]]. Let `E` and `F` be expressions, let `T` be
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`remove_cvref_t<decltype((E))>`, and let `D` be
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`range_difference_t<decltype((E))>`. If `decltype((F))` does not model
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`convertible_to<D>`, `views::drop(E, F)` is ill-formed. Otherwise, the
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expression `views::drop(E, F)` is expression-equivalent to:
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- If `T` is a specialization of `empty_view` [[range.empty.view]], then
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`((void)F, decay-copy(E))`, except that the evaluations of `E` and `F`
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are indeterminately sequenced.
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- Otherwise, if `T` models `random_access_range` and `sized_range` and
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is
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- a specialization of `span` [[views.span]],
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- a specialization of `basic_string_view` [[string.view]],
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- a specialization of `iota_view` [[range.iota.view]], or
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- a specialization of `subrange` [[range.subrange]] where
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`T::StoreSize` is `false`,
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then
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`U(ranges::begin(E) + std::min<D>(ranges::distance(E), F), ranges::end(E))`,
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except that `E` is evaluated only once, where `U` is
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`span<typename T::element_type>` if `T` is a specialization of `span`
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and `T` otherwise.
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- Otherwise, if `T` is a specialization of `subrange` [[range.subrange]]
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that models `random_access_range` and `sized_range`, then
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`T(ranges::begin(E) + std::min<D>(ranges::distance(E), F), ranges::{}end(E),
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to-unsigned-like(ranges::distance(E) -
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std::min<D>(ranges::distance(E), F)))`, except that `E` and `F` are
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each evaluated only once.
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- Otherwise, if `T` is a specialization of `repeat_view`
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[[range.repeat.view]]:
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- if `T` models `sized_range`, then
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``` cpp
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views::repeat(*E.value_, ranges::distance(E) - std::min<D>(ranges::distance(E), F))
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```
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except that `E` is evaluated only once;
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- otherwise, `((void)F, decay-copy(E))`, except that the evaluations
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of `E` and `F` are indeterminately sequenced.
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- Otherwise, `drop_view(E, F)`.
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[*Example 1*:
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``` cpp
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auto ints = views::iota(0) | views::take(10);
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for (auto i : ints | views::drop(5)) {
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cout << i << ' '; // prints 5 6 7 8 9
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}
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```
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— *end example*]
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