add ota algorithm for device

1. effective "Differential Upgrade" patch algorithm with high compression rate
2. effective recovery algorithm support recovery firmware in blocks which has low memory consumption and wear-leveling strategies, especially suitable for embeded devices with low RAM.
3. add sample ota bootloader project, see:
board\TencentOS_tiny_EVB_MX_Plus\KEIL\ota\ota_bootloader_recovery
4. add sample application project for download firmware through http, see:
board\TencentOS_tiny_EVB_MX_Plus\KEIL\ota\ota_application_download_through_http
5. add sample application project for download firmware through qcloud explorer console, see:
board\TencentOS_tiny_EVB_MX_Plus\KEIL\ota\ota_application_download_through_qcloud_iot_explorer
6. an OTA markdown document is pending

components/ota/common/lzma/3rdparty/Sort.c

@@ -0,0 +1,141 @@
+/* Sort.c -- Sort functions
+2014-04-05 : Igor Pavlov : Public domain */
+
+#include "Precomp.h"
+
+#include "Sort.h"
+
+#define HeapSortDown(p, k, size, temp) \
+  { for (;;) { \
+    size_t s = (k << 1); \
+    if (s > size) break; \
+    if (s < size && p[s + 1] > p[s]) s++; \
+    if (temp >= p[s]) break; \
+    p[k] = p[s]; k = s; \
+  } p[k] = temp; }
+
+void HeapSort(UInt32 *p, size_t size)
+{
+  if (size <= 1)
+    return;
+  p--;
+  {
+    size_t i = size / 2;
+    do
+    {
+      UInt32 temp = p[i];
+      size_t k = i;
+      HeapSortDown(p, k, size, temp)
+    }
+    while (--i != 0);
+  }
+  /*
+  do
+  {
+    size_t k = 1;
+    UInt32 temp = p[size];
+    p[size--] = p[1];
+    HeapSortDown(p, k, size, temp)
+  }
+  while (size > 1);
+  */
+  while (size > 3)
+  {
+    UInt32 temp = p[size];
+    size_t k = (p[3] > p[2]) ? 3 : 2;
+    p[size--] = p[1];
+    p[1] = p[k];
+    HeapSortDown(p, k, size, temp)
+  }
+  {
+    UInt32 temp = p[size];
+    p[size] = p[1];
+    if (size > 2 && p[2] < temp)
+    {
+      p[1] = p[2];
+      p[2] = temp;
+    }
+    else
+      p[1] = temp;
+  }
+}
+
+void HeapSort64(UInt64 *p, size_t size)
+{
+  if (size <= 1)
+    return;
+  p--;
+  {
+    size_t i = size / 2;
+    do
+    {
+      UInt64 temp = p[i];
+      size_t k = i;
+      HeapSortDown(p, k, size, temp)
+    }
+    while (--i != 0);
+  }
+  /*
+  do
+  {
+    size_t k = 1;
+    UInt64 temp = p[size];
+    p[size--] = p[1];
+    HeapSortDown(p, k, size, temp)
+  }
+  while (size > 1);
+  */
+  while (size > 3)
+  {
+    UInt64 temp = p[size];
+    size_t k = (p[3] > p[2]) ? 3 : 2;
+    p[size--] = p[1];
+    p[1] = p[k];
+    HeapSortDown(p, k, size, temp)
+  }
+  {
+    UInt64 temp = p[size];
+    p[size] = p[1];
+    if (size > 2 && p[2] < temp)
+    {
+      p[1] = p[2];
+      p[2] = temp;
+    }
+    else
+      p[1] = temp;
+  }
+}
+
+/*
+#define HeapSortRefDown(p, vals, n, size, temp) \
+  { size_t k = n; UInt32 val = vals[temp]; for (;;) { \
+    size_t s = (k << 1); \
+    if (s > size) break; \
+    if (s < size && vals[p[s + 1]] > vals[p[s]]) s++; \
+    if (val >= vals[p[s]]) break; \
+    p[k] = p[s]; k = s; \
+  } p[k] = temp; }
+
+void HeapSortRef(UInt32 *p, UInt32 *vals, size_t size)
+{
+  if (size <= 1)
+    return;
+  p--;
+  {
+    size_t i = size / 2;
+    do
+    {
+      UInt32 temp = p[i];
+      HeapSortRefDown(p, vals, i, size, temp);
+    }
+    while (--i != 0);
+  }
+  do
+  {
+    UInt32 temp = p[size];
+    p[size--] = p[1];
+    HeapSortRefDown(p, vals, 1, size, temp);
+  }
+  while (size > 1);
+}
+*/