74 lines
2.4 KiB
C++
74 lines
2.4 KiB
C++
// SPDX-License-Identifier: Apache-2.0
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//
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// Copyright 2015 Conrad Sanderson (http://conradsanderson.id.au)
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// Copyright 2015 National ICT Australia (NICTA)
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// ------------------------------------------------------------------------
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#include <armadillo>
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#include "catch.hpp"
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#include "utils.hpp"
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using namespace arma;
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TEMPLATE_TEST_CASE("gen_randu_1", "[randu]", TEST_FLOAT_TYPES)
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{
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typedef TestType eT;
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const uword n_rows = 100;
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const uword n_cols = 101;
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Mat<eT> A(n_rows,n_cols, fill::randu);
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Mat<eT> B(n_rows,n_cols); B.randu();
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Mat<eT> C; C.randu(n_rows,n_cols);
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constexpr const double margin1 = is_blas_real<eT>::value ? 0.02 : 0.2;
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constexpr const double margin2 = is_blas_real<eT>::value ? 0.025 : 0.3;
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// low-precision types could underflow, so convert to doubles before computing the mean
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REQUIRE( (accu(conv_to<mat>::from(A))/A.n_elem) == Approx(0.5).margin(margin1) );
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REQUIRE( (accu(conv_to<mat>::from(B))/A.n_elem) == Approx(0.5).margin(margin1) );
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REQUIRE( (accu(conv_to<mat>::from(C))/A.n_elem) == Approx(0.5).margin(margin1) );
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REQUIRE( (mean(vectorise(conv_to<mat>::from(A)))) == Approx(eT(0.5)).margin(margin2) );
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}
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TEMPLATE_TEST_CASE("gen_randu_2", "[randu]", TEST_FLOAT_TYPES)
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{
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typedef TestType eT;
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Mat<eT> A(50,60,fill::zeros);
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A(span(1,48),span(1,58)).randu();
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constexpr const eT margin1 = is_blas_real<eT>::value ? eT(0.001) : eT(0.01 );
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constexpr const double margin2 = is_blas_real<eT>::value ? eT(0.025) : eT(0.025);
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REQUIRE( accu(A.head_cols(1)) == Approx(eT(0)).margin(margin1) );
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REQUIRE( accu(A.head_rows(1)) == Approx(eT(0)).margin(margin1) );
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REQUIRE( accu(A.tail_cols(1)) == Approx(eT(0)).margin(margin1) );
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REQUIRE( accu(A.tail_rows(1)) == Approx(eT(0)).margin(margin1) );
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// low-precision types could overflow
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REQUIRE( mean(vectorise(conv_to<mat>::from(A)(span(1,48),span(1,58)))) == Approx(0.5).margin(margin2) );
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}
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