1 files changed, 0 insertions, 67 deletions
diff --git a/src/cli/implementation/speed_transform.cpp b/src/cli/implementation/speed_transform.cpp
deleted file mode 100644
index 2db5cdd70..000000000
--- a/src/cli/implementation/speed_transform.cpp
+++ /dev/null
@@ -1,67 +0,0 @@
-/*
-* (C) 2009 Jack Lloyd
-*
-* Botan is released under the Simplified BSD License (see license.txt)
-*/
-
-#include "speed.h"
-
-#include <iostream>
-#include <iomanip>
-
-#include <botan/cipher_mode.h>
-#include <botan/transform.h>
-
-using namespace Botan;
-
-namespace {
-void benchmark_transform(std::unique_ptr<Transform> tf,
-                         RandomNumberGenerator& rng,
-                         const std::chrono::milliseconds runtime)
-   {
-   for(size_t buf_size : { 16, 64, 256, 1024, 8192 })
-      {
-      secure_vector<byte> buffer(buf_size);
-
-      std::chrono::nanoseconds time_used(0);
-
-      tf->start(rng.random_vec(tf->default_nonce_length()));
-
-      auto start = std::chrono::high_resolution_clock::now();
-
-      secure_vector<byte> buf(buf_size);
-      size_t reps = 0;
-      while(time_used < runtime)
-         {
-         tf->update(buf);
-         buf.resize(buf_size);
-         ++reps;
-         time_used = std::chrono::high_resolution_clock::now() - start;
-         }
-
-      const u64bit nsec_used = std::chrono::duration_cast<std::chrono::nanoseconds>(time_used).count();
-
-      const double seconds_used = static_cast<double>(nsec_used) / 1000000000;
-
-      const double Mbps = ((reps / seconds_used) * buf_size) / 1024 / 1024;
-
-      std::cout << tf->name() << " " << std::setprecision(4) << Mbps
-                << " MiB / sec with " << buf_size << " byte blocks" << std::endl;
-      }
-   }
-}
-
-bool benchmark_transform(RandomNumberGenerator& rng, const std::string& algo_name,
-                         const std::chrono::milliseconds runtime)
-   {
-   std::unique_ptr<Transform> tf;
-   tf.reset(get_cipher_mode(algo_name, ENCRYPTION));
-   if(!tf)
-      return false;
-
-   if(Keyed_Transform* keyed = dynamic_cast<Keyed_Transform*>(tf.get()))
-      keyed->set_key(rng.random_vec(keyed->key_spec().maximum_keylength()));
-
-   benchmark_transform(std::move(tf), rng, runtime);
-   return true;
-   }