SuperTuxKart 1.5 upstream source (from official release tarball)

2026-06-11 20:04:02 +02:00
commit 2957e51aaa
8551 changed files with 1801800 additions and 0 deletions
@@ -0,0 +1,237 @@
+/* SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person
+ * obtaining a copy of this software and associated documentation
+ * files (the "Software"), to deal in the Software without
+ * restriction, including without limitation the rights to use, copy,
+ * modify, merge, publish, distribute, sublicense, and/or sell copies
+ * of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be
+ * included in all copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+ * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+ * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+ * NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS
+ * BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN
+ * ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
+ * CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ *
+ * Copyright:
+ *   2023      Yi-Yen Chung <eric681@andestech.com> (Copyright owned by Andes Technology)
+ */
+
+#if !defined(SIMDE_ARM_NEON_MULX_H)
+#define SIMDE_ARM_NEON_MULX_H
+
+#include "types.h"
+
+#include "reinterpret.h"
+
+HEDLEY_DIAGNOSTIC_PUSH
+SIMDE_DISABLE_UNWANTED_DIAGNOSTICS
+SIMDE_BEGIN_DECLS_
+
+SIMDE_FUNCTION_ATTRIBUTES
+simde_float16_t
+simde_vmulxh_f16(simde_float16_t a, simde_float16_t b) {
+  #if defined(SIMDE_ARM_NEON_A64V8_NATIVE) && defined(SIMDE_ARM_NEON_FP16)
+    return vmulxh_f16(a, b);
+  #else
+    return simde_float16_from_float32(
+        simde_float16_to_float32(a) *
+        simde_float16_to_float32(b));
+  #endif
+}
+#if defined(SIMDE_ARM_NEON_A64V8_ENABLE_NATIVE_ALIASES)
+  #undef vmulxh_f16
+  #define vmulxh_f16(a, b) simde_vmulxh_f16((a), (b))
+#endif
+
+SIMDE_FUNCTION_ATTRIBUTES
+simde_float32_t
+simde_vmulxs_f32(simde_float32_t a, simde_float32_t b) {
+  #if defined(SIMDE_ARM_NEON_A64V8_NATIVE)
+    return vmulxs_f32(a, b);
+  #else
+    return a * b;
+  #endif
+}
+#if defined(SIMDE_ARM_NEON_A64V8_ENABLE_NATIVE_ALIASES)
+  #undef vmulxs_f32
+  #define vmulxs_f32(a, b) simde_vmulxs_f32((a), (b))
+#endif
+
+SIMDE_FUNCTION_ATTRIBUTES
+simde_float64_t
+simde_vmulxd_f64(simde_float64_t a, simde_float64_t b) {
+  #if defined(SIMDE_ARM_NEON_A64V8_NATIVE)
+    return vmulxd_f64(a, b);
+  #else
+    return a * b;
+  #endif
+}
+#if defined(SIMDE_ARM_NEON_A64V8_ENABLE_NATIVE_ALIASES)
+  #undef vmulxd_f64
+  #define vmulxd_f64(a, b) simde_vmulxd_f64((a), (b))
+#endif
+
+SIMDE_FUNCTION_ATTRIBUTES
+simde_float16x4_t
+simde_vmulx_f16(simde_float16x4_t a, simde_float16x4_t b) {
+  #if defined(SIMDE_ARM_NEON_A64V8_NATIVE) && defined(SIMDE_ARM_NEON_FP16)
+    return vmulx_f16(a, b);
+  #else
+    simde_float16x4_private
+      r_,
+      a_ = simde_float16x4_to_private(a),
+      b_ = simde_float16x4_to_private(b);
+
+      SIMDE_VECTORIZE
+      for (size_t i = 0 ; i < (sizeof(r_.values) / sizeof(r_.values[0])) ; i++) {
+        r_.values[i] = simde_vmulxh_f16(a_.values[i], b_.values[i]);
+      }
+
+    return simde_float16x4_from_private(r_);
+  #endif
+}
+#if defined(SIMDE_ARM_NEON_A64V8_ENABLE_NATIVE_ALIASES)
+  #undef vmulx_f16
+  #define vmulx_f16(a, b) simde_vmulx_f16((a), (b))
+#endif
+
+SIMDE_FUNCTION_ATTRIBUTES
+simde_float32x2_t
+simde_vmulx_f32(simde_float32x2_t a, simde_float32x2_t b) {
+  #if defined(SIMDE_ARM_NEON_A64V8_NATIVE)
+    return vmulx_f32(a, b);
+  #else
+    simde_float32x2_private
+      r_,
+      a_ = simde_float32x2_to_private(a),
+      b_ = simde_float32x2_to_private(b);
+
+    #if defined(SIMDE_VECTOR_SUBSCRIPT_OPS)
+      r_.values = a_.values * b_.values;
+    #else
+      SIMDE_VECTORIZE
+      for (size_t i = 0 ; i < (sizeof(r_.values) / sizeof(r_.values[0])) ; i++) {
+        r_.values[i] = a_.values[i] * b_.values[i];
+      }
+    #endif
+
+    return simde_float32x2_from_private(r_);
+  #endif
+}
+#if defined(SIMDE_ARM_NEON_A64V8_ENABLE_NATIVE_ALIASES)
+  #undef vmulx_f32
+  #define vmulx_f32(a, b) simde_vmulx_f32((a), (b))
+#endif
+
+SIMDE_FUNCTION_ATTRIBUTES
+simde_float64x1_t
+simde_vmulx_f64(simde_float64x1_t a, simde_float64x1_t b) {
+  #if defined(SIMDE_ARM_NEON_A64V8_NATIVE)
+    return vmulx_f64(a, b);
+  #else
+    simde_float64x1_private
+      r_,
+      a_ = simde_float64x1_to_private(a),
+      b_ = simde_float64x1_to_private(b);
+
+    #if defined(SIMDE_VECTOR_SUBSCRIPT_OPS)
+      r_.values = a_.values * b_.values;
+    #else
+      SIMDE_VECTORIZE
+      for (size_t i = 0 ; i < (sizeof(r_.values) / sizeof(r_.values[0])) ; i++) {
+        r_.values[i] = a_.values[i] * b_.values[i];
+      }
+    #endif
+
+    return simde_float64x1_from_private(r_);
+  #endif
+}
+#if defined(SIMDE_ARM_NEON_A64V8_ENABLE_NATIVE_ALIASES)
+  #undef vmulx_f64
+  #define vmulx_f64(a, b) simde_vmulx_f64((a), (b))
+#endif
+
+SIMDE_FUNCTION_ATTRIBUTES
+simde_float16x8_t
+simde_vmulxq_f16(simde_float16x8_t a, simde_float16x8_t b) {
+  #if defined(SIMDE_ARM_NEON_A64V8_NATIVE) && defined(SIMDE_ARM_NEON_FP16)
+    return vmulxq_f16(a, b);
+  #else
+    simde_float16x8_private
+      r_,
+      a_ = simde_float16x8_to_private(a),
+      b_ = simde_float16x8_to_private(b);
+
+      SIMDE_VECTORIZE
+      for (size_t i = 0 ; i < (sizeof(r_.values) / sizeof(r_.values[0])) ; i++) {
+        r_.values[i] = simde_vmulxh_f16(a_.values[i], b_.values[i]);
+      }
+
+    return simde_float16x8_from_private(r_);
+  #endif
+}
+#if defined(SIMDE_ARM_NEON_A64V8_ENABLE_NATIVE_ALIASES)
+  #undef vmulxq_f16
+  #define vmulxq_f16(a, b) simde_vmulxq_f16((a), (b))
+#endif
+
+SIMDE_FUNCTION_ATTRIBUTES
+simde_float32x4_t
+simde_vmulxq_f32(simde_float32x4_t a, simde_float32x4_t b) {
+  #if defined(SIMDE_ARM_NEON_A64V8_NATIVE)
+    return vmulxq_f32(a, b);
+  #else
+    simde_float32x4_private
+      r_,
+      a_ = simde_float32x4_to_private(a),
+      b_ = simde_float32x4_to_private(b);
+
+    SIMDE_VECTORIZE
+    for (size_t i = 0 ; i < (sizeof(r_.values) / sizeof(r_.values[0])) ; i++) {
+      r_.values[i] = a_.values[i] * b_.values[i];
+    }
+
+    return simde_float32x4_from_private(r_);
+  #endif
+}
+#if defined(SIMDE_ARM_NEON_A64V8_ENABLE_NATIVE_ALIASES)
+  #undef vmulxq_f32
+  #define vmulxq_f32(a, b) simde_vmulxq_f32((a), (b))
+#endif
+
+SIMDE_FUNCTION_ATTRIBUTES
+simde_float64x2_t
+simde_vmulxq_f64(simde_float64x2_t a, simde_float64x2_t b) {
+  #if defined(SIMDE_ARM_NEON_A64V8_NATIVE)
+    return vmulxq_f64(a, b);
+  #else
+    simde_float64x2_private
+      r_,
+      a_ = simde_float64x2_to_private(a),
+      b_ = simde_float64x2_to_private(b);
+
+    SIMDE_VECTORIZE
+    for (size_t i = 0 ; i < (sizeof(r_.values) / sizeof(r_.values[0])) ; i++) {
+      r_.values[i] = a_.values[i] * b_.values[i];
+    }
+
+    return simde_float64x2_from_private(r_);
+  #endif
+}
+#if defined(SIMDE_ARM_NEON_A64V8_ENABLE_NATIVE_ALIASES)
+  #undef vmulxq_f64
+  #define vmulxq_f64(a, b) simde_vmulxq_f64((a), (b))
+#endif
+
+SIMDE_END_DECLS_
+HEDLEY_DIAGNOSTIC_POP
+
+#endif /* !defined(SIMDE_ARM_NEON_MULX_H) */