forked from boostorg/range
Boost.RangeEx merged into Boost.Range
[SVN r60897]
This commit is contained in:
56
doc/reference/numeric/accumulate.qbk
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56
doc/reference/numeric/accumulate.qbk
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[section:accumulate accumulate]
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[heading Prototype]
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``
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template<
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class SinglePassRange,
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class Value
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>
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Value accumulate(const SinglePassRange& source_rng,
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Value init);
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template<
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class SinglePassRange,
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class Value,
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class BinaryOperation
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>
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Value accumulate(const SinglePassRange& source_rng,
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Value init,
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BinaryOperation op);
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``
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[heading Description]
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`accumulate` is a generalisation of summation. It computes a binary operation (`operator+`
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in the non-predicate version) of `init` and all of the elements in `rng`.
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The return value is the resultant value of the above algorithm.
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[heading Definition]
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Defined in the header file `boost/range/numeric.hpp`
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[heading Requirements]
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[heading For the first version]
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# `SinglePassRange` is a model of the __single_pass_range__ Concept.
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# `Value` is a model of the `AssignableConcept`.
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# An `operator+` is defined for a left-hand operand of type `Value` and a right-hand operance of the `SinglePassRange` value type.
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# The return type of the above operator is convertible to `Value`.
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[heading For the second version]
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# `SinglePassRange` is a model of the __single_pass_range__ Concept.
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# `Value` is a model of the `AssignableConcept`.
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# `BinaryOperation` is a model of the `BinaryFunctionConcept`.
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# `Value` is convertible to `BinaryOperation`'s first argument type.
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# `SinglePassRange`'s value type is convertible to `BinaryOperation`'s second argument type.
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# The return type of `BinaryOperation` is convertible to `Value`.
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[heading Complexity]
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Linear. Exactly `distance(source_rng)`.
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[endsect]
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63
doc/reference/numeric/adjacent_difference.qbk
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63
doc/reference/numeric/adjacent_difference.qbk
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[section:adjacent_difference adjacent_difference]
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[heading Prototype]
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``
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template<
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class SinglePassRange,
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class OutputIterator
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>
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OutputIterator adjacent_difference(
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const SinglePassRange& source_rng,
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OutputIterator out_it);
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template<
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class SinglePassRange,
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class OutputIterator,
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class BinaryOperation
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>
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OutputIterator adjacent_difference(
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const SinglePassRange& source_rng,
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OutputIterator out_it,
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BinaryOperation op);
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``
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[heading Description]
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`adjacent_difference` calculates the differences of adjacent_elements in `rng`.
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The first version of `adjacent_difference` uses `operator-()` to calculate the differences.
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The second version uses `BinaryOperation` instead of `operator-()`.
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[heading Definition]
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Defined in the header file `boost/range/numeric.hpp`
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[heading Requirements]
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[heading For the first version]
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# `SinglePassRange` is a model of the __single_pass_range__ Concept.
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# `OutputIterator` is a model of the `OutputIteratorConcept`.
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# If `x` and `y` are objects of `SinglePassRange`'s value type, then `x - y` is defined.
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# The value type of `SinglePassRange` is convertible to a type in `OutputIterator`'s set of value types.
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# The return type of `x - y` is convertible to a type in `OutputIterator`'s set of value types.
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[heading For the second version]
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# `SinglePassRange` is a model of the __single_pass_range__ Concept.
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# `OutputIterator` is a model of the `OutputIteratorConcept`.
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# `BinaryOperation` is a model of the `BinaryFunctionConcept`.
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# The value type of `SinglePassRange` is convertible to `BinaryOperation`'s first and second argument types.
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# The value type of `SinglePassRange` is convertible to a type in `OutputIterator`'s set of value types.
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# The result type of `BinaryOperation` is convertible to a type in `OutputIterator`'s set of value types.
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[heading Precondition:]
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`[result, result + distance(rng))` is a valid range.
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[heading Complexity]
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Linear. If `empty(rng)` then zero applications, otherwise `distance(rng) - 1` applications are performed.
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[endsect]
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67
doc/reference/numeric/inner_product.qbk
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doc/reference/numeric/inner_product.qbk
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[section:inner_product inner_product]
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[heading Prototype]
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``
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template<class SinglePassRange1,
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class SinglePassRange2,
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class Value>
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Value inner_product( const SinglePassRange1& rng1,
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const SinglePassRange2& rng2,
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Value init);
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template<class SinglePassRange1,
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class SinglePassRange2,
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class Value,
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class BinaryOperation1,
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class BinaryOperation2>
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Value inner_product( const SinglePassRange1& rng1,
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const SinglePassRange2& rng2,
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Value init,
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BinaryOperation1 op1,
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``
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[heading Description]
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`inner_product` calculates a generalised inner product of the range `rng1` and `rng2`.
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For further information on the `inner_product` algorithm please see __sgi_inner_product__.
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[heading Definition]
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Defined in the header file `boost/range/numeric.hpp`
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[heading Requirements]
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[heading For the first version]
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# `SinglePassRange1` is a model of the __single_pass_range__ Concept.
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# `SinglePassRange2` is a model of the __single_pass_range__ Concept.
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# `Value` is a model of the `AssignableConcept`.
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# If `x` is an object of type `Value`, `y` is an object of `SinglePassRange1`'s value
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type, and `z` is an object of `SinglePassRange2`'s value type, then `x + y * z`
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is defined.
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# The result type of the expression `x + y * z` is convertible to `Value`.
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[heading For the second version]
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# `SinglePassRange1` is a model of the __single_pass_range__ Concept.
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# `SinglePassRange2` is a model of the __single_pass_range__ Concept.
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# `Value` is a model of the `AssignableConcept`.
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# `BinaryOperation1` is a model of the `BinaryFunctionConcept`.
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# `BinaryOperation2` is a model of the `BinaryFunctionConcept`.
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# The value type of `SinglePassRange1` is convertible to the first argument type of `BinaryOperation2`.
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# The value type of `SinglePassRange2` is convertible to the second argument type of `BinaryOperation2`.
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# `Value` is convertible to the value type of `BinaryOperation1`.
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# The return type of `BinaryOperation2` is convertible to the second argument type of `BinaryOperation1`.
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# The return type of `BinaryOperation1` is convertible to `Value`.
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[heading Precondition:]
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`distance(rng2) >= distance(rng1)` is a valid range.
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[heading Complexity]
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Linear. Exactly `distance(rng)`.
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[endsect]
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55
doc/reference/numeric/partial_sum.qbk
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55
doc/reference/numeric/partial_sum.qbk
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[section:partial_sum partial_sum]
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[heading Prototype]
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``
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template<class SinglePassRange,
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class OutputIterator>
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OutputIterator partial_sum(const SinglePassRange& rng,
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OutputIterator out_it);
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template<class SinglePassRange,
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class OutputIterator,
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class BinaryOperation>
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OutputIterator partial_sum(const SinglePassRange& rng,
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OutputIterator out_it,
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BinaryOperation op);
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``
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[heading Description]
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`partial_sum` calculates a generalised partial sum of `rng` in the same manner as
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`std::partial_sum(boost::begin(rng), boost::end(rng), out_it)`. See __sgi_partial_sum__.
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[heading Definition]
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Defined in the header file `boost/range/numeric.hpp`
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[heading Requirements]
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[heading For the first version]
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# `SinglePassRange` is a model of the __single_pass_range__ Concept.
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# `OutputIterator` is a model of the `OutputIteratorConcept`.
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# If `x` and `y` are objects of `SinglePassRange`'s value type, then `x + y` is defined.
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# The return type of `x + y` is convertible to the value type of `SinglePassRange`.
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# The value type of `SinglePassRange` is convertible to a type in `OutputIterator`'s set of value types.
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[heading For the second version]
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# `SinglePassRange` is a model of the __single_pass_range__ Concept.
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# `OutputIterator` is a model of the `OutputIteratorConcept`.
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# `BinaryOperation` is a model of the `BinaryFunctionConcept`.
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# The result type of `BinaryOperation` is convertible to the value type of `SinglePassRange`.
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# The value type of `SinglePassRange` is convertible to a type in `OutputIterator`'s set of value types.
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[heading Precondition:]
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`[result, result + distance(rng))` is a valid range.
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[heading Complexity]
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Linear. If `empty(rng)` then zero applications, otherwise `distance(rng) - 1` applications are performed.
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[endsect]
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