From 3ef34fb300e7f62bdb397c605ab6c3bd30682cf8 Mon Sep 17 00:00:00 2001
From: Tai Ly <tai.ly@arm.com>
Date: Tue, 4 Apr 2023 20:34:05 +0000
Subject: Add readFromNpyFile and writeToNpyFile for double data

Signed-off-by: Tai Ly <tai.ly@arm.com>
Change-Id: Icc023cbe6aa8843cc37d25e740bc6ce05bb7abb2
---
 test/scripts/test_npy_fileio.py     |  2 +-
 test/src/serialization_npy_test.cpp | 43 +++++++++++++++++++++++++++++++++++++
 2 files changed, 44 insertions(+), 1 deletion(-)

(limited to 'test')

diff --git a/test/scripts/test_npy_fileio.py b/test/scripts/test_npy_fileio.py
index e0a6f5d..272c124 100755
--- a/test/scripts/test_npy_fileio.py
+++ b/test/scripts/test_npy_fileio.py
@@ -122,7 +122,7 @@ def main():
     xunit_suite = xunit_result.create_suite("basic_serialization")
 
     max_size = 128
-    datatypes = ["int32", "int64", "float", "bool"]
+    datatypes = ["int32", "int64", "float", "bool", "double"]
     random.seed(args.seed)
 
     failed = 0
diff --git a/test/src/serialization_npy_test.cpp b/test/src/serialization_npy_test.cpp
index 27ec464..64536fb 100644
--- a/test/src/serialization_npy_test.cpp
+++ b/test/src/serialization_npy_test.cpp
@@ -103,6 +103,45 @@ int test_float_type(std::vector<int32_t> shape, std::default_random_engine& gen,
     return 0;
 }
 
+template <class T>
+int test_double_type(std::vector<int32_t> shape, std::default_random_engine& gen, std::string& filename)
+{
+    size_t total_size = 1;
+    std::uniform_real_distribution<T> gen_data(std::numeric_limits<T>::min(), std::numeric_limits<T>::max());
+
+    for (auto i : shape)
+    {
+        total_size *= i;
+    }
+
+    auto buffer = std::make_unique<T[]>(total_size);
+    for (int i = 0; i < total_size; i++)
+    {
+        buffer[i] = gen_data(gen);
+    }
+
+    NumpyUtilities::NPError err = NumpyUtilities::writeToNpyFile(filename.c_str(), shape, buffer.get());
+    if (err != NumpyUtilities::NO_ERROR)
+    {
+        std::cout << "Error writing file, code " << err << std::endl;
+        return 1;
+    }
+
+    auto read_buffer = std::make_unique<T[]>(total_size);
+    err              = NumpyUtilities::readFromNpyFile(filename.c_str(), total_size, read_buffer.get());
+    if (err != NumpyUtilities::NO_ERROR)
+    {
+        std::cout << "Error reading file, code " << err << std::endl;
+        return 1;
+    }
+    if (memcmp(buffer.get(), read_buffer.get(), total_size * sizeof(T)))
+    {
+        std::cout << "Miscompare" << std::endl;
+        return 1;
+    }
+    return 0;
+}
+
 int test_bool_type(std::vector<int32_t> shape, std::default_random_engine& gen, std::string& filename)
 {
     size_t total_size = 1;
@@ -212,6 +251,10 @@ int main(int argc, char** argv)
     {
         return test_float_type<float>(shape, gen, filename);
     }
+    else if (str_type == "double")
+    {
+        return test_double_type<double>(shape, gen, filename);
+    }
     else if (str_type == "bool")
     {
         return test_bool_type(shape, gen, filename);
-- 
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