fix(esp32c5): Erase during flashing above 16MB

This commit updates stub version for ESP32-C5 to ensure that the erase operation
works correctly when flashing images larger than 16MB. This also adds test to
verify the fix.

Author: Dzarda7

ci/download_flasher_stubs.py

@@ -12,7 +12,7 @@
         "STUB_SET_VERSION": "1",
         "DOWNLOAD_URL": "https://github.com/espressif/esptool-legacy-flasher-stub/releases/download",
         "TAG_URL": "https://github.com/espressif/esptool-legacy-flasher-stub/releases/tag",
-        "VERSION": "v1.7.1",
+        "VERSION": "v1.7.2",
         "FILE_LIST": (
             "esp32",
             "esp32c2",

esptool/targets/stub_flasher/1/README.md

@@ -1,3 +1,3 @@
 # Licensing
 
-The binaries in JSON format distributed in this directory are released as Free Software under GNU General Public License Version 2 or later. They were released at https://github.com/espressif/esptool-legacy-flasher-stub/releases/tag/v1.7.1 from where the sources can be obtained.
+The binaries in JSON format distributed in this directory are released as Free Software under GNU General Public License Version 2 or later. They were released at https://github.com/espressif/esptool-legacy-flasher-stub/releases/tag/v1.7.2 from where the sources can be obtained.

esptool/targets/stub_flasher/1/esp32c5.json

@@ -1,8 +1,8 @@
 {
-    "entry": 1082132396,
-    "text": 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",
+    "entry": 1082132526,
+    "text": "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",
     "text_start": 1082130432,
-    "data": "GACEQDwMgECKDIBAIg2AQAAOgEBoDoBAFg6AQHAKgEC0DYBA/A2AQEANgEAgCoBAaA2AQCAKgEAaDIBAVgyAQIoMgEAiDYBALAyAQJoKgEDICoBAKAyAQCwSgECKDIBAzg+AQOQRgEBeCYBADBKAQF4JgEBeCYBAXgmAQF4JgEBeCYBAXgmAQF4JgEBeCYBAdA+AQF4JgEAIEYBA5BGAQA==",
+    "data": "GACEQL4MgEAMDYBApA2AQIIOgEDqDoBAmA6AQPIKgEA2DoBAfg6AQMINgECiCoBA6g2AQKIKgECcDIBA2AyAQAwNgECkDYBArgyAQBwLgEBKC4BAqgyAQK4SgEAMDYBAUBCAQGYSgEDgCYBAjhKAQOAJgEDgCYBA4AmAQOAJgEDgCYBA4AmAQOAJgEDgCYBA9g+AQOAJgECKEYBAZhKAQA==",
     "data_start": 1082469300,
     "bss_start": 1082392576
 }

test/test_esptool.py

@@ -548,6 +548,37 @@ def test_write_larger_area_to_32M_flash(self):
         self.run_esptool("write-flash {} images/one_kb_all_ef.bin".format(hex(offset2)))
         self.verify_readback(offset, 1 * 1024 * 1024, "images/one_mb.bin")
 
+    @pytest.mark.skipif(
+        int(os.getenv("ESPTOOL_TEST_FLASH_SIZE", "0")) < 32, reason="needs 32MB flash"
+    )
+    def test_verify_erase_between_32M_flash(self):
+        """
+        Test writing two 1KB binaries with random data after 16MB boundary and
+        verify hashes.
+        """
+        BASE_OFFSET = 16 * 1024 * 1024  # 16MB boundary
+        FILE_SIZE = 1 * 1024  # 1KB
+
+        binary1 = tempfile.NamedTemporaryFile(delete=False, suffix=".bin")
+        binary2 = tempfile.NamedTemporaryFile(delete=False, suffix=".bin")
+
+        try:
+            for _ in range(FILE_SIZE):
+                binary1.write(struct.pack("B", random.randrange(0, 256)))
+                binary2.write(struct.pack("B", random.randrange(0, 256)))
+            binary1.close()
+            binary2.close()
+
+            output1 = self.run_esptool(f"write-flash {BASE_OFFSET} {binary1.name}")
+            assert "Hash of data verified" in output1
+
+            output2 = self.run_esptool(f"write-flash {BASE_OFFSET} {binary2.name}")
+            assert "Hash of data verified" in output2
+
+        finally:
+            os.unlink(binary1.name)
+            os.unlink(binary2.name)
+
     def test_correct_offset(self):
         """Verify writing at an offset actually writes to that offset."""
         self.run_esptool("write-flash 0x2000 images/sector.bin")