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[ci] Prefer platform-specific tests for memory impact analysis (#11398)
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@@ -83,11 +83,16 @@ MEMORY_IMPACT_FALLBACK_COMPONENT = "api" # Representative component for core ch
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MEMORY_IMPACT_FALLBACK_PLATFORM = Platform.ESP32_IDF # Most representative platform
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# Platform preference order for memory impact analysis
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# Prefer newer platforms first as they represent the future of ESPHome
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# ESP8266 is most constrained but many new features don't support it
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# This order is used when no platform-specific hints are detected from filenames
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# Priority rationale:
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# 1. ESP32-C6 IDF - Newest platform, supports Thread/Zigbee
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# 2. ESP8266 Arduino - Most memory constrained (best for detecting memory impact),
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# fastest build times, most sensitive to code size changes
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# 3. ESP32 IDF - Primary ESP32 platform, most representative of modern ESPHome
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# 4-6. Other ESP32 variants - Less commonly used but still supported
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MEMORY_IMPACT_PLATFORM_PREFERENCE = [
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Platform.ESP32_C6_IDF, # ESP32-C6 IDF (newest, supports Thread/Zigbee)
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Platform.ESP8266_ARD, # ESP8266 Arduino (most memory constrained - best for impact analysis)
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Platform.ESP8266_ARD, # ESP8266 Arduino (most memory constrained, fastest builds)
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Platform.ESP32_IDF, # ESP32 IDF platform (primary ESP32 platform, most representative)
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Platform.ESP32_C3_IDF, # ESP32-C3 IDF
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Platform.ESP32_S2_IDF, # ESP32-S2 IDF
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@@ -285,6 +290,91 @@ def _component_has_tests(component: str) -> bool:
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return bool(get_component_test_files(component))
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def _select_platform_by_preference(
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platforms: list[Platform] | set[Platform],
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) -> Platform:
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"""Select the most preferred platform from a list/set based on MEMORY_IMPACT_PLATFORM_PREFERENCE.
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Args:
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platforms: List or set of platforms to choose from
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Returns:
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The most preferred platform (earliest in MEMORY_IMPACT_PLATFORM_PREFERENCE)
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"""
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return min(platforms, key=MEMORY_IMPACT_PLATFORM_PREFERENCE.index)
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def _select_platform_by_count(
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platform_counts: Counter[Platform],
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) -> Platform:
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"""Select platform by count, using MEMORY_IMPACT_PLATFORM_PREFERENCE as tiebreaker.
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Args:
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platform_counts: Counter mapping platforms to their counts
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Returns:
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Platform with highest count, breaking ties by preference order
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"""
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return min(
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platform_counts.keys(),
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key=lambda p: (
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-platform_counts[p], # Negative to prefer higher counts
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MEMORY_IMPACT_PLATFORM_PREFERENCE.index(p),
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),
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)
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def _detect_platform_hint_from_filename(filename: str) -> Platform | None:
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"""Detect platform hint from filename patterns.
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Detects platform-specific files using patterns like:
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- wifi_component_esp_idf.cpp, *_idf.h -> ESP32 IDF variants
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- wifi_component_esp8266.cpp, *_esp8266.h -> ESP8266_ARD
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- *_esp32*.cpp -> ESP32 IDF (generic)
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- *_libretiny.cpp, *_retiny.* -> LibreTiny (not in preference list)
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- *_pico.cpp, *_rp2040.* -> RP2040 (not in preference list)
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Args:
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filename: File path to check
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Returns:
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Platform enum if a specific platform is detected, None otherwise
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"""
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filename_lower = filename.lower()
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# ESP-IDF platforms (check specific variants first)
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if "esp_idf" in filename_lower or "_idf" in filename_lower:
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# Check for specific ESP32 variants
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if "c6" in filename_lower or "esp32c6" in filename_lower:
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return Platform.ESP32_C6_IDF
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if "c3" in filename_lower or "esp32c3" in filename_lower:
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return Platform.ESP32_C3_IDF
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if "s2" in filename_lower or "esp32s2" in filename_lower:
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return Platform.ESP32_S2_IDF
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if "s3" in filename_lower or "esp32s3" in filename_lower:
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return Platform.ESP32_S3_IDF
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# Default to ESP32 IDF for generic esp_idf files
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return Platform.ESP32_IDF
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# ESP8266 Arduino
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if "esp8266" in filename_lower:
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return Platform.ESP8266_ARD
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# Generic ESP32 (without _idf suffix, could be Arduino or shared code)
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# Prefer IDF as it's the modern platform
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if "esp32" in filename_lower:
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return Platform.ESP32_IDF
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# LibreTiny and RP2040 are not in MEMORY_IMPACT_PLATFORM_PREFERENCE
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# so we don't return them as hints
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# if "retiny" in filename_lower or "libretiny" in filename_lower:
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# return None # No specific LibreTiny platform preference
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# if "pico" in filename_lower or "rp2040" in filename_lower:
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# return None # No RP2040 platform preference
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return None
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def detect_memory_impact_config(
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branch: str | None = None,
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) -> dict[str, Any]:
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@@ -294,6 +384,9 @@ def detect_memory_impact_config(
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building a merged configuration with all changed components (like
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test_build_components.py does) to get comprehensive memory analysis.
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When platform-specific files are detected (e.g., wifi_component_esp_idf.cpp),
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prefers that platform for testing to ensure the most relevant memory analysis.
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For core C++ file changes without component changes, runs a fallback
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analysis using a representative component to measure the impact.
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@@ -312,8 +405,10 @@ def detect_memory_impact_config(
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files = changed_files(branch)
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# Find all changed components (excluding core and base bus components)
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# Also collect platform hints from platform-specific filenames
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changed_component_set: set[str] = set()
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has_core_cpp_changes = False
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platform_hints: list[Platform] = []
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for file in files:
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component = get_component_from_path(file)
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@@ -321,6 +416,10 @@ def detect_memory_impact_config(
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# Skip base bus components as they're used across many builds
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if component not in BASE_BUS_COMPONENTS:
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changed_component_set.add(component)
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# Check if this is a platform-specific file
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platform_hint = _detect_platform_hint_from_filename(file)
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if platform_hint:
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platform_hints.append(platform_hint)
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elif file.startswith("esphome/") and file.endswith(CPP_FILE_EXTENSIONS):
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# Core ESPHome C++ files changed (not component-specific)
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# Only C++ files affect memory usage
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@@ -377,27 +476,42 @@ def detect_memory_impact_config(
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common_platforms &= platforms
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# Select the most preferred platform from the common set
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# Exception: for core changes, use fallback platform (most representative of codebase)
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if force_fallback_platform:
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# Priority order:
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# 1. Platform hints from filenames (e.g., wifi_component_esp_idf.cpp suggests ESP32_IDF)
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# 2. Core changes use fallback platform (most representative of codebase)
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# 3. Common platforms supported by all components
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# 4. Most commonly supported platform
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if platform_hints:
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# Use most common platform hint that's also supported by all components
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hint_counts = Counter(platform_hints)
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# Filter to only hints that are in common_platforms (if any common platforms exist)
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valid_hints = (
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[h for h in hint_counts if h in common_platforms]
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if common_platforms
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else list(hint_counts.keys())
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)
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if valid_hints:
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platform = _select_platform_by_count(
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Counter({p: hint_counts[p] for p in valid_hints})
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)
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elif common_platforms:
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# Hints exist but none match common platforms, use common platform logic
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platform = _select_platform_by_preference(common_platforms)
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else:
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# Use the most common hint even if it's not in common platforms
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platform = _select_platform_by_count(hint_counts)
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elif force_fallback_platform:
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platform = MEMORY_IMPACT_FALLBACK_PLATFORM
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elif common_platforms:
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# Pick the most preferred platform that all components support
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platform = min(common_platforms, key=MEMORY_IMPACT_PLATFORM_PREFERENCE.index)
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platform = _select_platform_by_preference(common_platforms)
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else:
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# No common platform - pick the most commonly supported platform
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# This allows testing components individually even if they can't be merged
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# Count how many components support each platform
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platform_counts = Counter(
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p for platforms in component_platforms_map.values() for p in platforms
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)
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# Pick the platform supported by most components, preferring earlier in MEMORY_IMPACT_PLATFORM_PREFERENCE
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platform = max(
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platform_counts.keys(),
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key=lambda p: (
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platform_counts[p],
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-MEMORY_IMPACT_PLATFORM_PREFERENCE.index(p),
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),
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)
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platform = _select_platform_by_count(platform_counts)
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# Debug output
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print("Memory impact analysis:", file=sys.stderr)
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@@ -407,6 +521,7 @@ def detect_memory_impact_config(
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f" Component platforms: {dict(sorted(component_platforms_map.items()))}",
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file=sys.stderr,
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)
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print(f" Platform hints from filenames: {platform_hints}", file=sys.stderr)
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print(f" Common platforms: {sorted(common_platforms)}", file=sys.stderr)
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print(f" Selected platform: {platform}", file=sys.stderr)
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