From d013f4f5d32d9b62b4591b385285323c735a758e Mon Sep 17 00:00:00 2001 From: ndonkoHenri Date: Thu, 13 Nov 2025 16:00:22 +0100 Subject: [PATCH 01/12] initial commit --- packages/flet/lib/src/controls/canvas.dart | 38 ++- .../flet/lib/src/controls/circle_avatar.dart | 46 +-- .../lib/src/controls/cupertino_switch.dart | 8 +- packages/flet/lib/src/controls/image.dart | 18 +- packages/flet/lib/src/controls/markdown.dart | 12 +- packages/flet/lib/src/utils/box.dart | 200 +---------- packages/flet/lib/src/utils/collections.dart | 14 +- packages/flet/lib/src/utils/images.dart | 311 ++++++++++++++++-- packages/flet/lib/src/utils/strings.dart | 35 ++ .../examples/controls/lottie/__init__.py | 0 .../flet-audio/src/flet_audio/audio.py | 34 +- .../src/flutter/flet_audio/lib/src/audio.dart | 37 ++- .../flet-lottie/src/flet_lottie/lottie.py | 37 +-- .../flutter/flet_lottie/lib/src/lottie.dart | 36 +- sdk/python/packages/flet/docs/lottie/index.md | 2 +- .../packages/flet/src/flet/controls/box.py | 21 +- .../src/flet/controls/core/canvas/image.py | 12 +- .../flet/src/flet/controls/core/image.py | 63 +--- .../flet/controls/material/bottom_sheet.py | 2 +- .../flet/controls/material/circle_avatar.py | 6 +- 20 files changed, 448 insertions(+), 484 deletions(-) create mode 100644 sdk/python/examples/controls/lottie/__init__.py diff --git a/packages/flet/lib/src/controls/canvas.dart b/packages/flet/lib/src/controls/canvas.dart index 8cd0ab4c3e..a7212ef3de 100644 --- a/packages/flet/lib/src/controls/canvas.dart +++ b/packages/flet/lib/src/controls/canvas.dart @@ -13,6 +13,7 @@ import 'package:flutter/material.dart'; import 'package:http/http.dart' as http; import '../models/control.dart'; +import '../utils/box.dart'; import '../utils/dash_path.dart'; import '../utils/hashing.dart'; import '../utils/images.dart'; @@ -193,9 +194,6 @@ class FletCustomPainter extends CustomPainter { void paint(Canvas canvas, Size size) { onPaintCallback(size); - debugPrint("paint.size: $size"); - //debugPrint("paint.shapes: $shapes"); - canvas.save(); canvas.scale(dpr); canvas.clipRect(Rect.fromLTWH(0, 0, size.width, size.height)); @@ -541,16 +539,19 @@ Future loadCanvasImage(Control shape) async { final completer = Completer(); shape.properties["_loading"] = completer; - final src = shape.getString("src"); - final srcBytes = shape.get("src_bytes") as Uint8List?; + final resolved = ResolvedAssetSource.from(shape.get("src")); try { Uint8List bytes; - if (srcBytes != null) { - bytes = srcBytes; - } else if (src != null) { - var assetSrc = shape.backend.getAssetSource(src); + if (resolved.error != null) { + throw Exception("Error decoding src: ${resolved.error}"); + } + + if (resolved.hasBytes) { + bytes = resolved.bytes!; + } else if (resolved.hasUri) { + var assetSrc = shape.backend.getAssetSource(resolved.uri!); if (assetSrc.isFile) { final file = File(assetSrc.path); bytes = await file.readAsBytes(); @@ -562,7 +563,7 @@ Future loadCanvasImage(Control shape) async { bytes = resp.bodyBytes; } } else { - throw Exception("Missing image source: 'src' or 'src_bytes'"); + throw Exception("Missing image source: 'src'"); } final codec = await ui.instantiateImageCodec(bytes, allowUpscaling: false); @@ -579,12 +580,15 @@ Future loadCanvasImage(Control shape) async { } } +/// Produces a fast hash for the `src` so Canvas can tell when it needs to +/// refetch the image. Inline strings and bytes use FNV to avoid massive hashes. int getImageHash(Control shape) { - final src = shape.getString("src"); - final srcBytes = shape.get("src_bytes") as Uint8List?; - return src != null - ? src.hashCode - : srcBytes != null - ? fnv1aHash(srcBytes) - : 0; + final resolved = ResolvedAssetSource.from(shape.get("src")); + if (resolved.hasUri) { + return resolved.uri!.hashCode; + } + if (resolved.hasBytes) { + return fnv1aHash(resolved.bytes!); + } + return 0; } diff --git a/packages/flet/lib/src/controls/circle_avatar.dart b/packages/flet/lib/src/controls/circle_avatar.dart index d02452c611..ab20f93c88 100644 --- a/packages/flet/lib/src/controls/circle_avatar.dart +++ b/packages/flet/lib/src/controls/circle_avatar.dart @@ -1,11 +1,6 @@ +import 'package:flet/flet.dart'; import 'package:flutter/material.dart'; -import '../extensions/control.dart'; -import '../models/control.dart'; -import '../utils/colors.dart'; -import '../utils/numbers.dart'; -import 'base_controls.dart'; - class CircleAvatarControl extends StatelessWidget { final Control control; @@ -18,39 +13,10 @@ class CircleAvatarControl extends StatelessWidget { Widget build(BuildContext context) { debugPrint("CircleAvatar build: ${control.id}"); - var foregroundImageSrc = control.getString("foreground_image_src"); - var backgroundImageSrc = control.getString("background_image_src"); - var content = control.buildTextOrWidget("content"); - - ImageProvider? backgroundImage; - ImageProvider? foregroundImage; - - if (foregroundImageSrc != null || backgroundImageSrc != null) { - var assetSrc = control.backend - .getAssetSource((foregroundImageSrc ?? backgroundImageSrc)!); - - // foregroundImage - if (foregroundImageSrc != null) { - if (assetSrc.isFile) { - // from File - foregroundImage = AssetImage(assetSrc.path); - } else { - // URL - foregroundImage = NetworkImage(assetSrc.path); - } - } - - // backgroundImage - if (backgroundImageSrc != null) { - if (assetSrc.isFile) { - // from File - backgroundImage = AssetImage(assetSrc.path); - } else { - // URL - backgroundImage = NetworkImage(assetSrc.path); - } - } - } + var foregroundImage = + getImageProvider(context, control.get("foreground_image_src")); + var backgroundImage = + getImageProvider(context, control.get("background_image_src")); var avatar = CircleAvatar( foregroundImage: foregroundImage, @@ -70,7 +36,7 @@ class CircleAvatarControl extends StatelessWidget { control.triggerEvent("image_error", "foreground"); } : null, - child: content); + child: control.buildTextOrWidget("content")); return LayoutControl(control: control, child: avatar); } diff --git a/packages/flet/lib/src/controls/cupertino_switch.dart b/packages/flet/lib/src/controls/cupertino_switch.dart index 2fb6fb5e6d..c85fa9a62f 100644 --- a/packages/flet/lib/src/controls/cupertino_switch.dart +++ b/packages/flet/lib/src/controls/cupertino_switch.dart @@ -2,9 +2,9 @@ import 'package:flutter/cupertino.dart'; import 'package:flutter/material.dart'; import '../models/control.dart'; -import '../utils/box.dart'; import '../utils/colors.dart'; import '../utils/icons.dart'; +import '../utils/images.dart'; import '../utils/misc.dart'; import '../utils/numbers.dart'; import 'base_controls.dart'; @@ -107,10 +107,8 @@ class _CupertinoSwitchControlState extends State { trackOutlineWidth: widget.control.getWidgetStateDouble("track_outline_width"), thumbIcon: widget.control.getWidgetStateIcon("thumb_icon", theme), - inactiveThumbImage: - getImageProvider(context, inactiveThumbImage, null, null), - activeThumbImage: - getImageProvider(context, activeThumbImage, null, null), + inactiveThumbImage: getImageProvider(context, inactiveThumbImage), + activeThumbImage: getImageProvider(context, activeThumbImage), onActiveThumbImageError: activeThumbImage == null ? null : (Object exception, StackTrace? stackTrace) { diff --git a/packages/flet/lib/src/controls/image.dart b/packages/flet/lib/src/controls/image.dart index 176ba364e7..cb591eec7f 100644 --- a/packages/flet/lib/src/controls/image.dart +++ b/packages/flet/lib/src/controls/image.dart @@ -1,5 +1,3 @@ -import 'dart:typed_data'; - import 'package:flutter/material.dart'; import '../extensions/control.dart'; @@ -26,20 +24,14 @@ class ImageControl extends StatelessWidget { Widget build(BuildContext context) { debugPrint("Image build: ${control.id}"); - var src = control.getString("src", "")!; - var srcBase64 = control.getString("src_base64", "")!; - var srcBytes = (control.get("src_bytes") as Uint8List?) ?? Uint8List(0); - if (src == "" && srcBase64 == "" && srcBytes.isEmpty) { - return const ErrorControl( - "Image must have either \"src\" or \"src_base64\" or \"src_bytes\" specified."); + var rawSrc = control.get("src"); + if (rawSrc == null) { + return const ErrorControl("Image must have \"src\" specified."); } - var errorContent = control.buildWidget("error_content"); Widget? image = buildImage( context: context, - src: src, - srcBase64: srcBase64, - srcBytes: srcBytes, + src: rawSrc, width: control.getDouble("width"), height: control.getDouble("height"), cacheWidth: control.getInt("cache_width"), @@ -55,7 +47,7 @@ class ImageControl extends StatelessWidget { filterQuality: control.getFilterQuality("filter_quality", FilterQuality.medium)!, disabled: control.disabled, - errorCtrl: errorContent, + errorCtrl: control.buildWidget("error_content"), ); return LayoutControl( control: control, diff --git a/packages/flet/lib/src/controls/markdown.dart b/packages/flet/lib/src/controls/markdown.dart index fe778ef20f..3863b537ad 100644 --- a/packages/flet/lib/src/controls/markdown.dart +++ b/packages/flet/lib/src/controls/markdown.dart @@ -4,13 +4,11 @@ import 'package:markdown/markdown.dart' as md; import '../extensions/control.dart'; import '../models/control.dart'; -import '../utils/box.dart'; import '../utils/images.dart'; import '../utils/launch_url.dart'; import '../utils/markdown.dart'; import '../utils/numbers.dart'; import '../utils/uri.dart'; -import '../widgets/error.dart'; import 'base_controls.dart'; import 'highlight_view.dart'; @@ -51,17 +49,9 @@ class MarkdownControl extends StatelessWidget { }, styleSheet: mdStyleSheet, imageBuilder: (Uri uri, String? title, String? alt) { - String s = uri.toString(); - var srcBase64 = isBase64ImageString(s) ? s : null; - var src = isUrlOrPath(s) ? s : null; - if (src == null && srcBase64 == null) { - return ErrorControl("Invalid image URI: $s"); - } - return buildImage( context: context, - src: src, - srcBase64: srcBase64, + src: uri.toString(), semanticsLabel: alt, disabled: control.disabled, errorCtrl: control.buildWidget("image_error_content")); diff --git a/packages/flet/lib/src/utils/box.dart b/packages/flet/lib/src/utils/box.dart index 87bd824530..ee6460d4e5 100644 --- a/packages/flet/lib/src/utils/box.dart +++ b/packages/flet/lib/src/utils/box.dart @@ -1,22 +1,5 @@ -import 'dart:convert'; -import 'dart:io' as io; -import 'dart:typed_data'; - +import 'package:flet/flet.dart'; import 'package:flutter/material.dart'; -import 'package:flutter_svg/svg.dart'; - -import '../flet_backend.dart'; -import '../models/control.dart'; -import '../widgets/error.dart'; -import 'alignment.dart'; -import 'borders.dart'; -import 'collections.dart'; -import 'colors.dart'; -import 'gradient.dart'; -import 'images.dart'; -import 'misc.dart'; -import 'numbers.dart'; -import 'transforms.dart'; BoxConstraints? parseBoxConstraints(dynamic value, [BoxConstraints? defaultValue]) { @@ -113,9 +96,7 @@ DecorationImage? parseDecorationImage(dynamic value, BuildContext context, if (value == null) return defaultValue; var src = value["src"]; - var srcBase64 = value["src_base64"]; - var srcBytes = value["src_bytes"]; - ImageProvider? image = getImageProvider(context, src, srcBase64, srcBytes); + ImageProvider? image = getImageProvider(context, src); if (image == null) { return defaultValue; } @@ -135,183 +116,6 @@ DecorationImage? parseDecorationImage(dynamic value, BuildContext context, ); } -ImageProvider? getImageProvider( - BuildContext context, String? src, String? srcBase64, Uint8List? srcBytes) { - src = src?.trim(); - srcBase64 = srcBase64?.trim(); - - if (srcBase64 != null && srcBase64 != "") { - try { - Uint8List bytes = base64Decode(srcBase64); - return MemoryImage(bytes); - } catch (ex) { - debugPrint("getImageProvider failed decoding src_base64"); - } - } else if (srcBytes != null && srcBytes.isNotEmpty) { - try { - return MemoryImage(srcBytes); - } catch (ex) { - debugPrint("getImageProvider failed decoding src_bytes"); - } - } - if (src != null && src != "") { - var assetSrc = FletBackend.of(context).getAssetSource(src); - - return assetSrc.isFile - ? getFileImageProvider(assetSrc.path) - : NetworkImage(assetSrc.path); - } - return null; -} - -Widget buildImage({ - required BuildContext context, - required Widget? errorCtrl, - required String? src, - required String? srcBase64, - Uint8List? srcBytes, - double? width, - double? height, - ImageRepeat repeat = ImageRepeat.noRepeat, - BoxFit? fit, - BlendMode? colorBlendMode, - Color? color, - String? semanticsLabel, - bool? gaplessPlayback, - int? cacheWidth, - int? cacheHeight, - bool antiAlias = false, - bool excludeFromSemantics = false, - FilterQuality filterQuality = FilterQuality.low, - bool disabled = false, -}) { - Widget? image; - const String svgTag = " xmlns=\"http://www.w3.org/2000/svg\""; - - Uint8List bytes = srcBytes ?? Uint8List(0); - if (bytes.isEmpty && srcBase64 != null && srcBase64.isNotEmpty) { - bytes = base64Decode(srcBase64); - } - if (bytes.isNotEmpty) { - try { - if (arrayIndexOf(bytes, Uint8List.fromList(utf8.encode(svgTag))) != -1) { - image = SvgPicture.memory(bytes, - width: width, - height: height, - excludeFromSemantics: excludeFromSemantics, - fit: fit ?? BoxFit.contain, - colorFilter: color != null - ? ColorFilter.mode(color, colorBlendMode ?? BlendMode.srcIn) - : null, - semanticsLabel: semanticsLabel); - } else { - image = Image.memory(bytes, - width: width, - height: height, - repeat: repeat, - fit: fit, - color: color, - cacheHeight: cacheHeight, - cacheWidth: cacheWidth, - filterQuality: filterQuality, - isAntiAlias: antiAlias, - colorBlendMode: colorBlendMode, - gaplessPlayback: gaplessPlayback ?? false, - excludeFromSemantics: excludeFromSemantics, - semanticLabel: semanticsLabel); - } - return image; - } catch (ex) { - return ErrorControl("Error decoding base64: ${ex.toString()}"); - } - } else if (src != null && src.isNotEmpty) { - if (src.contains(svgTag)) { - image = SvgPicture.memory(Uint8List.fromList(utf8.encode(src)), - width: width, - height: height, - fit: fit ?? BoxFit.contain, - excludeFromSemantics: excludeFromSemantics, - colorFilter: color != null - ? ColorFilter.mode(color, colorBlendMode ?? BlendMode.srcIn) - : null, - semanticsLabel: semanticsLabel); - } else { - var assetSrc = FletBackend.of(context).getAssetSource(src); - - if (assetSrc.isFile) { - // from File - if (assetSrc.path.endsWith(".svg")) { - image = getSvgPictureFromFile( - src: assetSrc.path, - width: width, - height: height, - fit: fit ?? BoxFit.contain, - color: color, - blendMode: colorBlendMode ?? BlendMode.srcIn, - semanticsLabel: semanticsLabel); - } else { - image = Image.file( - io.File(assetSrc.path), - width: width, - height: height, - repeat: repeat, - filterQuality: filterQuality, - excludeFromSemantics: excludeFromSemantics, - fit: fit, - color: color, - isAntiAlias: antiAlias, - cacheHeight: cacheHeight, - cacheWidth: cacheWidth, - gaplessPlayback: gaplessPlayback ?? false, - colorBlendMode: colorBlendMode, - semanticLabel: semanticsLabel, - errorBuilder: errorCtrl != null - ? (context, error, stackTrace) { - return errorCtrl; - } - : null, - ); - } - } else { - // URL - if (assetSrc.path.endsWith(".svg")) { - image = SvgPicture.network(assetSrc.path, - width: width, - height: height, - excludeFromSemantics: excludeFromSemantics, - fit: fit ?? BoxFit.contain, - colorFilter: color != null - ? ColorFilter.mode(color, colorBlendMode ?? BlendMode.srcIn) - : null, - semanticsLabel: semanticsLabel); - } else { - image = Image.network(assetSrc.path, - width: width, - height: height, - repeat: repeat, - filterQuality: filterQuality, - cacheHeight: cacheHeight, - cacheWidth: cacheWidth, - isAntiAlias: antiAlias, - excludeFromSemantics: excludeFromSemantics, - fit: fit, - color: color, - gaplessPlayback: gaplessPlayback ?? false, - colorBlendMode: colorBlendMode, - semanticLabel: semanticsLabel, - errorBuilder: errorCtrl != null - ? (context, error, stackTrace) { - return errorCtrl; - } - : null); - } - } - } - return image; - } - return const ErrorControl("A valid src or src_base64 must be specified."); -} - extension BoxParsers on Control { BoxConstraints? getBoxConstraints(String propertyName, [BoxConstraints? defaultValue]) { diff --git a/packages/flet/lib/src/utils/collections.dart b/packages/flet/lib/src/utils/collections.dart index 57fa2d8271..d26ff9e3f2 100644 --- a/packages/flet/lib/src/utils/collections.dart +++ b/packages/flet/lib/src/utils/collections.dart @@ -1,8 +1,18 @@ import 'dart:typed_data'; +/// Returns the first index of `needle` inside `haystack`, or `-1` if not found. +/// +/// This performs a naive byte-wise search (O(haystack.length * needle.length) +/// worst-case). If `needle` is empty the function returns `0`. +/// +/// Example: +/// ```dart +/// arrayIndexOf(Uint8List.fromList([1, 2, 3, 4]), Uint8List.fromList([2, 3])) == 1; +/// ``` int arrayIndexOf(Uint8List haystack, Uint8List needle) { - var len = needle.length; - var limit = haystack.length - len; + final len = needle.length; + if (len == 0) return 0; + final limit = haystack.length - len; for (var i = 0; i <= limit; i++) { var k = 0; for (; k < len; k++) { diff --git a/packages/flet/lib/src/utils/images.dart b/packages/flet/lib/src/utils/images.dart index c87b867b7f..fbb8458572 100644 --- a/packages/flet/lib/src/utils/images.dart +++ b/packages/flet/lib/src/utils/images.dart @@ -1,12 +1,20 @@ import 'dart:convert'; +import 'dart:io' as io; +import 'dart:typed_data'; import 'dart:ui'; import 'package:collection/collection.dart'; +import 'package:flet/src/utils/strings.dart'; import 'package:flutter/material.dart'; +import 'package:flutter_svg/svg.dart'; +import '../flet_backend.dart'; import '../models/control.dart'; +import '../widgets/error.dart'; +import 'collections.dart'; import 'colors.dart'; import 'gradient.dart'; +import 'images.dart'; import 'numbers.dart'; export "images_web.dart" if (dart.library.io) 'images_io.dart'; @@ -68,35 +76,43 @@ FilterQuality? parseFilterQuality(String? value, defaultValue; } -bool isBase64ImageString(String value) { - // Check for base64 prefix - final base64PrefixPattern = RegExp(r'^data:image\/[a-zA-Z]+;base64,'); - if (base64PrefixPattern.hasMatch(value)) { - return true; +extension ImageParsers on Control { + ImageRepeat? getImageRepeat(String propertyName, + [ImageRepeat? defaultValue]) { + return parseImageRepeat(get(propertyName), defaultValue); } - // Check if string contains only valid base64 characters and has a valid length (multiple of 4) - final base64CharPattern = RegExp(r'^[A-Za-z0-9+/=]+$'); - if (base64CharPattern.hasMatch(value) && value.length % 4 == 0) { - try { - base64.decode(value); - return true; - } catch (e) { - return false; - } + BlendMode? getBlendMode(String propertyName, [BlendMode? defaultValue]) { + return parseBlendMode(get(propertyName), defaultValue); } - return false; + BoxFit? getBoxFit(String propertyName, [BoxFit? defaultValue]) { + return parseBoxFit(get(propertyName), defaultValue); + } + + ImageFilter? getBlur(String propertyName, [ImageFilter? defaultValue]) { + return parseBlur(get(propertyName), defaultValue); + } + + ColorFilter? getColorFilter(String propertyName, ThemeData theme, + [ColorFilter? defaultValue]) { + return parseColorFilter(get(propertyName), theme, defaultValue); + } + + FilterQuality? getFilterQuality(String propertyName, + [FilterQuality? defaultValue]) { + return parseFilterQuality(get(propertyName), defaultValue); + } } bool isUrlOrPath(String value) { - // Check for URL pattern + // URL final urlPattern = RegExp(r'^(http:\/\/|https:\/\/|www\.)'); if (urlPattern.hasMatch(value)) { return true; } - // Check for common file path characters + // file path final filePathPattern = RegExp(r'^[a-zA-Z0-9_\-/\\\.]+$'); if (filePathPattern.hasMatch(value)) { return true; @@ -105,31 +121,260 @@ bool isUrlOrPath(String value) { return false; } -extension ImageParsers on Control { - ImageRepeat? getImageRepeat(String propertyName, - [ImageRepeat? defaultValue]) { - return parseImageRepeat(get(propertyName), defaultValue); +/// Returns a Flutter [ImageProvider] for anything supported by `resolveImageSource`. +ImageProvider? getImageProvider(BuildContext context, dynamic src) { + final resolved = ResolvedAssetSource.from(src); + + if (resolved.error != null) { + debugPrint("getImageProvider failed decoding src: ${resolved.error}"); + return null; } - BlendMode? getBlendMode(String propertyName, [BlendMode? defaultValue]) { - return parseBlendMode(get(propertyName), defaultValue); + if (resolved.hasBytes) { + try { + return MemoryImage(resolved.bytes!); + } catch (ex) { + debugPrint("getImageProvider failed decoding bytes"); + return null; + } } - BoxFit? getBoxFit(String propertyName, [BoxFit? defaultValue]) { - return parseBoxFit(get(propertyName), defaultValue); + if (resolved.hasUri) { + var assetSrc = FletBackend.of(context).getAssetSource(resolved.uri!); + return assetSrc.isFile + ? getFileImageProvider(assetSrc.path) + : NetworkImage(assetSrc.path); } - ImageFilter? getBlur(String propertyName, [ImageFilter? defaultValue]) { - return parseBlur(get(propertyName), defaultValue); + return null; +} + +/// Builds the correct image widget ([Image] or [SvgPicture]) +/// for any supported `src`. +Widget buildImage({ + required BuildContext context, + required Widget? errorCtrl, + required dynamic src, + double? width, + double? height, + ImageRepeat repeat = ImageRepeat.noRepeat, + BoxFit? fit, + BlendMode? colorBlendMode, + Color? color, + String? semanticsLabel, + bool? gaplessPlayback, + int? cacheWidth, + int? cacheHeight, + bool antiAlias = false, + bool excludeFromSemantics = false, + FilterQuality filterQuality = FilterQuality.low, + bool disabled = false, +}) { + const String svgTag = " xmlns=\"http://www.w3.org/2000/svg\""; + + final resolvedSrc = ResolvedAssetSource.from(src); + if (resolvedSrc.error != null) { + return errorCtrl ?? + ErrorControl("Error decoding src", description: resolvedSrc.error); } - ColorFilter? getColorFilter(String propertyName, ThemeData theme, - [ColorFilter? defaultValue]) { - return parseColorFilter(get(propertyName), theme, defaultValue); + if (resolvedSrc.hasBytes) { + Uint8List bytes = resolvedSrc.bytes!; + try { + // SVG bytes + if (arrayIndexOf(bytes, Uint8List.fromList(utf8.encode(svgTag))) != -1) { + return SvgPicture.memory(bytes, + width: width, + height: height, + excludeFromSemantics: excludeFromSemantics, + fit: fit ?? BoxFit.contain, + colorFilter: color != null + ? ColorFilter.mode(color, colorBlendMode ?? BlendMode.srcIn) + : null, + semanticsLabel: semanticsLabel); + } else { + // other image bytes + return Image.memory(bytes, + width: width, + height: height, + repeat: repeat, + fit: fit, + color: color, + cacheHeight: cacheHeight, + cacheWidth: cacheWidth, + filterQuality: filterQuality, + isAntiAlias: antiAlias, + colorBlendMode: colorBlendMode, + gaplessPlayback: gaplessPlayback ?? false, + excludeFromSemantics: excludeFromSemantics, + semanticLabel: semanticsLabel); + } + } catch (ex) { + return ErrorControl("Error decoding base64: ${ex.toString()}"); + } + } else if (resolvedSrc.hasUri) { + var stringSrc = resolvedSrc.uri!; + if (stringSrc.contains(svgTag)) { + return SvgPicture.memory(Uint8List.fromList(utf8.encode(stringSrc)), + width: width, + height: height, + fit: fit ?? BoxFit.contain, + excludeFromSemantics: excludeFromSemantics, + colorFilter: color != null + ? ColorFilter.mode(color, colorBlendMode ?? BlendMode.srcIn) + : null, + semanticsLabel: semanticsLabel); + } else { + var assetSrc = FletBackend.of(context).getAssetSource(stringSrc); + if (assetSrc.isFile) { + // SVG File + if (assetSrc.path.endsWith(".svg")) { + return getSvgPictureFromFile( + src: assetSrc.path, + width: width, + height: height, + fit: fit ?? BoxFit.contain, + color: color, + blendMode: colorBlendMode ?? BlendMode.srcIn, + semanticsLabel: semanticsLabel); + } else { + // other image File + return Image.file( + io.File(assetSrc.path), + width: width, + height: height, + repeat: repeat, + filterQuality: filterQuality, + excludeFromSemantics: excludeFromSemantics, + fit: fit, + color: color, + isAntiAlias: antiAlias, + cacheHeight: cacheHeight, + cacheWidth: cacheWidth, + gaplessPlayback: gaplessPlayback ?? false, + colorBlendMode: colorBlendMode, + semanticLabel: semanticsLabel, + errorBuilder: errorCtrl != null + ? (context, error, stackTrace) { + return errorCtrl; + } + : null, + ); + } + } else { + // SVG URL + if (assetSrc.path.endsWith(".svg")) { + return SvgPicture.network( + assetSrc.path, + width: width, + height: height, + excludeFromSemantics: excludeFromSemantics, + fit: fit ?? BoxFit.contain, + colorFilter: color != null + ? ColorFilter.mode(color, colorBlendMode ?? BlendMode.srcIn) + : null, + semanticsLabel: semanticsLabel, + ); + } else { + // other image URL + return Image.network( + assetSrc.path, + width: width, + height: height, + repeat: repeat, + filterQuality: filterQuality, + cacheHeight: cacheHeight, + cacheWidth: cacheWidth, + isAntiAlias: antiAlias, + excludeFromSemantics: excludeFromSemantics, + fit: fit, + color: color, + gaplessPlayback: gaplessPlayback ?? false, + colorBlendMode: colorBlendMode, + semanticLabel: semanticsLabel, + errorBuilder: errorCtrl != null + ? (context, error, stackTrace) { + return errorCtrl; + } + : null, + ); + } + } + } } - FilterQuality? getFilterQuality(String propertyName, - [FilterQuality? defaultValue]) { - return parseFilterQuality(get(propertyName), defaultValue); + return const ErrorControl("A valid src value must be specified."); +} + +class ResolvedAssetSource { + const ResolvedAssetSource({this.bytes, this.uri, this.error}); + + /// Raw bytes (ex: base64-decoded payload). + final Uint8List? bytes; + + /// String representation (ex: URL, asset path). + final String? uri; + + /// Optional error message describing a resolution failure. + final String? error; + + /// True if the instance contains non-empty bytes. + bool get hasBytes => bytes != null && bytes!.isNotEmpty; + + /// True if the instance contains a non-empty string value. + bool get hasUri => uri != null && uri!.isNotEmpty; + + /// True if both bytes and string are missing or empty. + bool get isEmpty => !hasBytes && !hasUri; + + /// Factory that normalizes any supported image source into + /// a [ResolvedAssetSource]. + /// + /// Supports: + /// - `Uint8List`, `List` → interpreted as raw bytes + /// - `String` → URL, asset path, or Base64-encoded data + factory ResolvedAssetSource.from(dynamic src) { + // bytes + final listBytes = _bytesFromList(src); + if (listBytes != null) { + return listBytes.isEmpty + ? const ResolvedAssetSource() + : ResolvedAssetSource(bytes: listBytes); + } + + // string sources (Base64, URL, asset path) + if (src is String) { + src = src.trim(); + if (src.isEmpty) { + return const ResolvedAssetSource(); + } + + // Base64 + if (src.isBase64) { + final bytes = base64Decode(src.stripBase64DataHeader()); + return ResolvedAssetSource(bytes: bytes); + } + + // URL or asset path + return ResolvedAssetSource(uri: src); + } + + // unknown or unsupported source type + return ResolvedAssetSource( + error: "${src.runtimeType} is not a supported source type."); } } + +/// Converts various list-like inputs into a Uint8List, +/// or returns null if unsupported. +Uint8List? _bytesFromList(dynamic value) { + if (value is Uint8List) { + return value; + } else if (value is List) { + return Uint8List.fromList(value); + } else if (value is List && value.every((e) => e is int)) { + return Uint8List.fromList(value.cast()); + } + + return null; +} diff --git a/packages/flet/lib/src/utils/strings.dart b/packages/flet/lib/src/utils/strings.dart index 814a28b2e4..e3bd3c7361 100644 --- a/packages/flet/lib/src/utils/strings.dart +++ b/packages/flet/lib/src/utils/strings.dart @@ -1,3 +1,5 @@ +import 'dart:convert'; + extension StringExtension on String { /// Trims the [symbol] from the start of the string. String trimStart(String symbol) { @@ -13,4 +15,37 @@ extension StringExtension on String { String trimSymbol(String symbol) { return trimStart(symbol).trimEnd(symbol); } + + /// Returns `true` if the string contains valid Base64-encoded data. + /// + /// The string is first cleaned (data URI prefixes removed, whitespace + /// stripped) and then normalized using [base64.normalize], which validates + /// characters, fixes padding, and ensures proper length. + /// + /// If normalization and subsequent decoding via [base64.decode] both + /// succeed, the string is considered valid Base64. + bool get isBase64 { + var s = stripBase64DataHeader().replaceAll(RegExp(r'\s+'), ''); + + try { + final normalized = base64.normalize(s); + base64.decode(normalized); + return true; + } catch (_) { + return false; + } + } + + /// Removes a leading Base64 data URI header (e.g. `data:*;base64,`) + /// if present, and returns only the Base64 payload. + String stripBase64DataHeader() { + var s = this; + if (s.startsWith('data:')) { + final comma = s.indexOf(','); + if (comma != -1) { + return s.substring(comma + 1); + } + } + return s; + } } diff --git a/sdk/python/examples/controls/lottie/__init__.py b/sdk/python/examples/controls/lottie/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/sdk/python/packages/flet-audio/src/flet_audio/audio.py b/sdk/python/packages/flet-audio/src/flet_audio/audio.py index 5fa2f0871a..221980b5b9 100644 --- a/sdk/python/packages/flet-audio/src/flet_audio/audio.py +++ b/sdk/python/packages/flet-audio/src/flet_audio/audio.py @@ -1,4 +1,4 @@ -from typing import Optional +from typing import Optional, Union import flet as ft from flet_audio.types import ( @@ -15,33 +15,18 @@ class Audio(ft.Service): A control to simultaneously play multiple audio sources. """ - src: Optional[str] = None + src: Optional[Union[str, bytes]] = None """ The audio source. - Can be a URL or a local [asset file](https://docs.flet.dev/cookbook/assets). - Note: - - At least one of `src` or [`src_base64`][flet_audio.Audio.src_base64] must be - provided, with `src_base64` having priority if both are provided. - - [Here](https://github.com/bluefireteam/audioplayers/blob/main/troubleshooting.md#supported-formats--encodings) - is a list of supported audio formats. - - Raises: - ValueError: If both `src` and [`src_base64`][(c).] are `None`. - """ - - src_base64: Optional[str] = None - """ - Defines the contents of audio file encoded in base-64 format. + It can be one of the following: + - A URL or local [asset file](https://flet.dev/docs/cookbook/assets) path; + - A base64 string; + - Raw bytes. Note: - - At least one of [`src`][flet_audio.Audio.src] or `src_base64` must be - provided, with `src_base64` having priority if both are provided. - - [Here](https://github.com/bluefireteam/audioplayers/blob/main/troubleshooting.md#supported-formats--encodings) + [Here](https://github.com/bluefireteam/audioplayers/blob/main/troubleshooting.md#supported-formats--encodings) is a list of supported audio formats. - - Raises: - ValueError: If both `src_base64` and [`src`][(c).] are `None`. """ autoplay: bool = False @@ -116,11 +101,6 @@ class Audio(ft.Service): An event is going to be sent as soon as the audio seek is finished. """ - def before_update(self): - super().before_update() - if not (self.src or self.src_base64): - raise ValueError("either src or src_base64 must be provided") - async def play(self, position: ft.DurationValue = 0): """ Starts playing audio from the specified `position`. diff --git a/sdk/python/packages/flet-audio/src/flutter/flet_audio/lib/src/audio.dart b/sdk/python/packages/flet-audio/src/flutter/flet_audio/lib/src/audio.dart index 4d3bc3eb8a..c943647e15 100644 --- a/sdk/python/packages/flet-audio/src/flutter/flet_audio/lib/src/audio.dart +++ b/sdk/python/packages/flet-audio/src/flutter/flet_audio/lib/src/audio.dart @@ -1,5 +1,4 @@ import 'dart:async'; -import 'dart:convert'; import 'package:audioplayers/audioplayers.dart'; import 'package:flet/flet.dart'; @@ -19,7 +18,7 @@ class AudioService extends FletService { StreamSubscription? _onSeekCompleteSubscription; String? _src; - String? _srcBase64; + Uint8List? _srcBytes; ReleaseMode? _releaseMode; double? _volume; double? _balance; @@ -66,11 +65,12 @@ class AudioService extends FletService { void update() { debugPrint("Audio(${control.id}).update: ${control.properties}"); - var src = control.getString("src", "")!; - var srcBase64 = control.getString("src_base64", "")!; - if (src == "" && srcBase64 == "") { - throw Exception( - "Audio must have either \"src\" or \"src_base64\" specified."); + final resolvedSrc = ResolvedAssetSource.from(control.get("src")); + if (resolvedSrc.error != null) { + throw Exception("Audio src decode error: ${resolvedSrc.error}"); + } + if (resolvedSrc.isEmpty) { + throw Exception("Audio must have \"src\" specified."); } var autoplay = control.getBool("autoplay", false)!; var volume = control.getDouble("volume", 1.0)!; @@ -80,47 +80,56 @@ class AudioService extends FletService { () async { bool srcChanged = false; - if (src != "" && src != _src) { - _src = src; + // URL or file + if (resolvedSrc.uri != null && resolvedSrc.uri != _src) { + _src = resolvedSrc.uri; + _srcBytes = null; srcChanged = true; - // URL or file? - var assetSrc = control.backend.getAssetSource(src); + var assetSrc = control.backend.getAssetSource(_src!); if (assetSrc.isFile) { await player.setSourceDeviceFile(assetSrc.path); } else { await player.setSourceUrl(assetSrc.path); } - } else if (srcBase64 != "" && srcBase64 != _srcBase64) { - _srcBase64 = srcBase64; + } else if (resolvedSrc.bytes != null && + (_srcBytes == null || !listEquals(_srcBytes, resolvedSrc.bytes))) { + // bytes + _srcBytes = resolvedSrc.bytes; + _src = null; srcChanged = true; - await player.setSourceBytes(base64Decode(srcBase64)); + await player.setSourceBytes(resolvedSrc.bytes!); } if (srcChanged) { control.triggerEvent("loaded"); } + // releaseMode if (releaseMode != null && releaseMode != _releaseMode) { _releaseMode = releaseMode; await player.setReleaseMode(releaseMode); } + // volume if (volume != _volume && volume >= 0 && volume <= 1) { _volume = volume; await player.setVolume(volume); } + // playbackRate if (playbackRate != _playbackRate) { _playbackRate = playbackRate; await player.setPlaybackRate(playbackRate); } + // balance if (!kIsWeb && balance != _balance && balance >= -1 && balance <= 1) { _balance = balance; await player.setBalance(balance); } + // autoplay if (srcChanged && autoplay) { await player.resume(); } diff --git a/sdk/python/packages/flet-lottie/src/flet_lottie/lottie.py b/sdk/python/packages/flet-lottie/src/flet_lottie/lottie.py index b0ee89ee94..cc28de9b5f 100644 --- a/sdk/python/packages/flet-lottie/src/flet_lottie/lottie.py +++ b/sdk/python/packages/flet-lottie/src/flet_lottie/lottie.py @@ -1,4 +1,4 @@ -from typing import Optional +from typing import Optional, Union import flet as ft @@ -11,30 +11,14 @@ class Lottie(ft.LayoutControl): Displays lottie animations. """ - src: Optional[str] = None + src: Union[str, bytes] """ - The source of the Lottie file. + The lottie animation source. - Can be a URL or a local [asset file](https://docs.flet.dev/cookbook/assets). - - Note: - If both `src` and [`src_base64`][(c).] are provided, - `src_base64` will be prioritized/used. - - Raises: - ValueError: If neither `src` nor [`src_base64`][(c).] is provided. - """ - - src_base64: Optional[str] = None - """ - The base64 encoded string of the Lottie file. - - Note: - If both `src_base64` and [`src`][(c).] are provided, - `src_base64` will be prioritized/used. - - Raises: - ValueError: If neither `src_base64` nor [`src`][(c).] is provided. + It can be one of the following: + - A URL or local [asset file](https://flet.dev/docs/cookbook/assets) path; + - A base64 string; + - Raw bytes. """ repeat: bool = True @@ -59,7 +43,7 @@ class Lottie(ft.LayoutControl): Whether the animation should be played automatically. """ - enable_merge_paths: bool = False + enable_merge_paths: bool = True """ Whether to enable merge path support. """ @@ -105,8 +89,3 @@ class Lottie(ft.LayoutControl): The [`data`][flet.Event.data] property of the event handler argument contains information on the error. """ - - def before_update(self): - super().before_update() - if not (self.src or self.src_base64): - raise ValueError("at least one of src and src_base64 must be provided") diff --git a/sdk/python/packages/flet-lottie/src/flutter/flet_lottie/lib/src/lottie.dart b/sdk/python/packages/flet-lottie/src/flutter/flet_lottie/lib/src/lottie.dart index 288b96ad87..a2dc62b28e 100644 --- a/sdk/python/packages/flet-lottie/src/flutter/flet_lottie/lib/src/lottie.dart +++ b/sdk/python/packages/flet-lottie/src/flutter/flet_lottie/lib/src/lottie.dart @@ -1,7 +1,4 @@ -import 'dart:convert'; - import 'package:flet/flet.dart'; -import 'package:flutter/foundation.dart'; import 'package:flutter/widgets.dart'; import 'package:lottie/lottie.dart'; @@ -20,14 +17,6 @@ class _LottieControlState extends State { debugPrint( "Lottie build: ${widget.control.id} (${widget.control.hashCode})"); - var src = widget.control.getString("src"); - var srcBase64 = widget.control.getString("src_base64"); - - if (src == null && srcBase64 == null) { - return const ErrorControl( - "Lottie must have either \"src\" or \"src_base64\" specified."); - } - var repeat = widget.control.getBool("repeat", true)!; var backgroundLoading = widget.control.getBool("background_loading"); var reverse = widget.control.getBool("reverse", false)!; @@ -36,11 +25,23 @@ class _LottieControlState extends State { var alignment = widget.control.getAlignment("alignment"); var filterQuality = widget.control.getFilterQuality("filter_quality"); var errorContent = widget.control.buildWidget("error_content"); + final resolvedSrc = ResolvedAssetSource.from(widget.control.get("src")); + + if (resolvedSrc.error != null) { + return errorContent ?? + ErrorControl("Error decoding src", description: resolvedSrc.error); + } + + if (resolvedSrc.isEmpty) { + return const ErrorControl("Lottie must have \"src\" specified."); + } + var options = LottieOptions( enableMergePaths: widget.control.getBool("enable_merge_paths", false)!, enableApplyingOpacityToLayers: widget.control.getBool("enable_layers_opacity", false)!, ); + void onError(String value) { if (widget.control.getBool("on_error", false)!) { widget.control.triggerEvent("error", value); @@ -61,11 +62,11 @@ class _LottieControlState extends State { Widget? lottie; - if (srcBase64 != null) { + // bytes + if (resolvedSrc.hasBytes) { try { - Uint8List bytes = base64Decode(srcBase64); lottie = Lottie.memory( - bytes, + resolvedSrc.bytes!, repeat: repeat, reverse: reverse, animate: animate, @@ -81,13 +82,12 @@ class _LottieControlState extends State { } catch (ex) { onError(ex.toString()); return errorContent ?? - ErrorControl("Error decoding src_base64", - description: ex.toString()); + ErrorControl("Error decoding src", description: ex.toString()); } } else { - var assetSrc = widget.control.backend.getAssetSource(src!); + var assetSrc = widget.control.backend.getAssetSource(resolvedSrc.uri!); + // Local File if (assetSrc.isFile) { - // Local File lottie = Lottie.asset(assetSrc.path, repeat: repeat, reverse: reverse, diff --git a/sdk/python/packages/flet/docs/lottie/index.md b/sdk/python/packages/flet/docs/lottie/index.md index 2c011573f7..d7a4b70fd5 100644 --- a/sdk/python/packages/flet/docs/lottie/index.md +++ b/sdk/python/packages/flet/docs/lottie/index.md @@ -36,7 +36,7 @@ pip install flet-lottie # (1)! ## Example ```python ---8<-- "{{ examples }}/example_1.py" +--8<-- "{{ examples }}/basic.py" ``` ## Description diff --git a/sdk/python/packages/flet/src/flet/controls/box.py b/sdk/python/packages/flet/src/flet/controls/box.py index d208d2d7a0..ebd63c58fb 100644 --- a/sdk/python/packages/flet/src/flet/controls/box.py +++ b/sdk/python/packages/flet/src/flet/controls/box.py @@ -175,19 +175,12 @@ class DecorationImage: An image for a box decoration. """ - src: Optional[str] = None - """ - The image to paint. - """ - - src_base64: Optional[str] = None - """ - The base64-encoded image to paint. + src: Optional[Union[str, bytes]] = None """ + The image source to paint. - src_bytes: Optional[bytes] = None - """ - TBD + Accepts URLs, asset paths, base64 strings (with or without `data:` prefixes), + or raw bytes. """ color_filter: Optional[ColorFilter] = None @@ -243,9 +236,7 @@ class DecorationImage: def copy( self, *, - src: Optional[str] = None, - src_base64: Optional[str] = None, - src_bytes: Optional[bytes] = None, + src: Optional[Union[str, bytes]] = None, color_filter: Optional[ColorFilter] = None, fit: Optional[BoxFit] = None, alignment: Optional[Alignment] = None, @@ -262,8 +253,6 @@ def copy( """ return DecorationImage( src=src if src is not None else self.src, - src_base64=src_base64 if src_base64 is not None else self.src_base64, - src_bytes=src_bytes if src_bytes is not None else self.src_bytes, color_filter=color_filter if color_filter is not None else self.color_filter, diff --git a/sdk/python/packages/flet/src/flet/controls/core/canvas/image.py b/sdk/python/packages/flet/src/flet/controls/core/canvas/image.py index dc51c2c655..ea5e10c3ef 100644 --- a/sdk/python/packages/flet/src/flet/controls/core/canvas/image.py +++ b/sdk/python/packages/flet/src/flet/controls/core/canvas/image.py @@ -1,4 +1,4 @@ -from typing import Optional +from typing import Optional, Union from flet.controls.base_control import control from flet.controls.core.canvas.shape import Shape @@ -12,17 +12,11 @@ class Image(Shape): Draws an image. """ - src: Optional[str] = None + src: Optional[Union[str, bytes]] = None """ Draws an image from a source. - This could be an external URL or a local - [asset file](https://flet.dev/docs/cookbook/assets). - """ - - src_bytes: Optional[bytes] = None - """ - Draws an image from a bytes array. + Accepts URLs/paths, base64 strings, or raw bytes. """ x: Optional[Number] = None diff --git a/sdk/python/packages/flet/src/flet/controls/core/image.py b/sdk/python/packages/flet/src/flet/controls/core/image.py index 2f883c9ce7..a2f1206a5c 100644 --- a/sdk/python/packages/flet/src/flet/controls/core/image.py +++ b/sdk/python/packages/flet/src/flet/controls/core/image.py @@ -1,4 +1,4 @@ -from typing import Optional +from typing import Optional, Union from flet.controls.base_control import control from flet.controls.border_radius import BorderRadiusValue @@ -20,13 +20,7 @@ class Image(LayoutControl): Displays an image. The following popular formats are supported: JPEG, PNG, SVG, GIF, Animated GIF, WebP, Animated WebP, BMP, and WBMP. - The source can be specified through one of the following - properties (in order of precedence): - - - [`src_bytes`][(c).] - - [`src_base64`][(c).] - - [`src`][(c).] - + Example: ```python ft.Image( src="https://flet.dev/img/logo.svg", @@ -36,60 +30,35 @@ class Image(LayoutControl): ``` """ - src: Optional[str] = None + src: Union[str, bytes] """ The image source. - This could be an external URL or a local - [asset file](https://flet.dev/docs/cookbook/assets). - """ - - src_base64: Optional[str] = None - """ - A string representing an image encoded in Base64 format. - - [Here](https://github.com/flet-dev/examples/blob/main/python/controls/information-displays/image/image-base64.py) - is an example. - - /// details | Tip - type: tip - - - Use `base64` command (on Linux, macOS or WSL) to convert file to Base64 format: - ```bash - base64 -i -o - ``` - - - On Windows you can use PowerShell to encode string into Base64 format: - ```posh - [convert]::ToBase64String((Get-Content -path "your_file_path" -Encoding byte)) - ``` - /// - """ - - src_bytes: Optional[bytes] = None - """ - A byte array representing an image. + It can be one of the following: + - A URL or local [asset file](https://flet.dev/docs/cookbook/assets) path; + - A base64 string; + - Raw bytes. """ error_content: Optional[Control] = None """ Fallback control to display if the image cannot be loaded - from the provided sources (`src` or `src_base64`). + from the provided source. """ repeat: ImageRepeat = ImageRepeat.NO_REPEAT """ - How to paint any portions of the layout bounds not covered by the image. + How to paint any portions of the layout bounds not covered by this image. """ fit: Optional[BoxFit] = None """ - How to inscribe the image into the space allocated during layout. + Defines how to inscribe this image into the space allocated during layout. """ border_radius: Optional[BorderRadiusValue] = None """ - Clip image to have rounded corners. + Clips this image to have rounded corners. """ color: Optional[ColorValue] = None @@ -100,7 +69,7 @@ class Image(LayoutControl): color_blend_mode: Optional[BlendMode] = None """ - Used to combine `color` with the image. + Used to combine [`color`][(c).] with the image. In terms of the blend mode, color is the source and this image is the destination. """ @@ -115,7 +84,7 @@ class Image(LayoutControl): semantics_label: Optional[str] = None """ - A semantic description of the image. + A semantic description of this image. Used to provide a description of the image to TalkBack on Android, and VoiceOver on iOS. @@ -133,7 +102,7 @@ class Image(LayoutControl): cache_width: Optional[int] = None """ - The size at which the image should be decoded. + The size at which this image should be decoded. The image will, however, be rendered to the constraints of the layout regardless of this parameter. @@ -141,7 +110,7 @@ class Image(LayoutControl): cache_height: Optional[int] = None """ - The size at which the image should be decoded. + The size at which this image should be decoded. The image will, however, be rendered to the constraints of the layout regardless of this parameter. @@ -151,7 +120,7 @@ class Image(LayoutControl): """ Whether to paint the image with anti-aliasing. - Anti-aliasing alleviates the sawtooth artifact when the image is rotated. + Anti-aliasing alleviates the sawtooth artifact when this image is rotated. """ def init(self): diff --git a/sdk/python/packages/flet/src/flet/controls/material/bottom_sheet.py b/sdk/python/packages/flet/src/flet/controls/material/bottom_sheet.py index 1225d0c273..fa55ba6fcc 100644 --- a/sdk/python/packages/flet/src/flet/controls/material/bottom_sheet.py +++ b/sdk/python/packages/flet/src/flet/controls/material/bottom_sheet.py @@ -45,7 +45,7 @@ class BottomSheet(DialogControl): Defines the size of the shadow below this bottom sheet. Raises: - ValueError: If [`elevation`][(c).] is negative. + ValueError: If it is strictly less than `0`. """ bgcolor: Optional[ColorValue] = None diff --git a/sdk/python/packages/flet/src/flet/controls/material/circle_avatar.py b/sdk/python/packages/flet/src/flet/controls/material/circle_avatar.py index d3991510d6..cf0f91c99e 100644 --- a/sdk/python/packages/flet/src/flet/controls/material/circle_avatar.py +++ b/sdk/python/packages/flet/src/flet/controls/material/circle_avatar.py @@ -1,4 +1,4 @@ -from typing import Optional +from typing import Optional, Union from flet.controls.base_control import control from flet.controls.control_event import ControlEventHandler @@ -39,7 +39,7 @@ class CircleAvatar(LayoutControl): If this avatar is to have an image, use [`background_image_src`][(c).] instead. """ - foreground_image_src: Optional[str] = None + foreground_image_src: Optional[Union[str, bytes]] = None """ The source (local asset file or URL) of the foreground image in the circle. @@ -48,7 +48,7 @@ class CircleAvatar(LayoutControl): Typically used as profile image. """ - background_image_src: Optional[str] = None + background_image_src: Optional[Union[str, bytes]] = None """ The source (local asset file or URL) of the background image in the circle. Changing the background image will cause the avatar to animate to the new image. From fefd1006a2aea7ed93bb42586dd499d5c7b1b43c Mon Sep 17 00:00:00 2001 From: ndonkoHenri Date: Thu, 13 Nov 2025 16:10:10 +0100 Subject: [PATCH 02/12] update examples --- .../controls/animated_switcher/image_switch_buffered.py | 2 +- sdk/python/examples/controls/canvas/brush.py | 2 +- .../controls/cupertino_text_field/background_image.py | 2 +- sdk/python/examples/controls/image/src_base64_and_bytes.py | 4 ++-- .../examples/controls/shader_mask/fade_out_image_bottom.py | 2 +- .../controls/shader_mask/linear_and_radial_gradients.py | 4 ++-- sdk/python/examples/controls/shader_mask/pink_radial_glow.py | 4 ++-- sdk/python/examples/controls/stack/text_on_image.py | 2 +- sdk/python/examples/cookbook/cpu_bound_png_stream.py | 2 +- 9 files changed, 12 insertions(+), 12 deletions(-) diff --git a/sdk/python/examples/controls/animated_switcher/image_switch_buffered.py b/sdk/python/examples/controls/animated_switcher/image_switch_buffered.py index 255798be14..0190e4dc16 100644 --- a/sdk/python/examples/controls/animated_switcher/image_switch_buffered.py +++ b/sdk/python/examples/controls/animated_switcher/image_switch_buffered.py @@ -21,7 +21,7 @@ def __init__(self, image: ft.Image, page: ft.Page): def animate(self, e): self.content = ft.Image( - src_base64=self.image_queue.pop(), + src=self.image_queue.pop(), width=200, height=300, gapless_playback=True, diff --git a/sdk/python/examples/controls/canvas/brush.py b/sdk/python/examples/controls/canvas/brush.py index 0140b98cb5..65b3db6075 100644 --- a/sdk/python/examples/controls/canvas/brush.py +++ b/sdk/python/examples/controls/canvas/brush.py @@ -65,7 +65,7 @@ async def save_image(): capture = await canvas.get_capture() if capture: file_path = await file_picker.save_file( - file_name="flet_picture.png", src_bytes=capture + file_name="flet_picture.png", src=capture ) if file_path and page.platform in [ ft.PagePlatform.MACOS, diff --git a/sdk/python/examples/controls/cupertino_text_field/background_image.py b/sdk/python/examples/controls/cupertino_text_field/background_image.py index dbb1c1e965..8123f706d2 100644 --- a/sdk/python/examples/controls/cupertino_text_field/background_image.py +++ b/sdk/python/examples/controls/cupertino_text_field/background_image.py @@ -9,7 +9,7 @@ async def main(page: ft.Page): label_style=ft.TextStyle(italic=True, weight=ft.FontWeight.BOLD), bgcolor=ft.Colors.BLUE_GREY, image=ft.DecorationImage( - 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), ) ) diff --git a/sdk/python/examples/controls/image/src_base64_and_bytes.py b/sdk/python/examples/controls/image/src_base64_and_bytes.py index c8d8e14fca..8d3895505b 100644 --- a/sdk/python/examples/controls/image/src_base64_and_bytes.py +++ b/sdk/python/examples/controls/image/src_base64_and_bytes.py @@ -11,12 +11,12 @@ def main(page: ft.Page): page.add( ft.Image( - src_base64=base64_src, + src=base64_src, width=100, height=100, ), ft.Image( - src_bytes=bytes_src, + src=bytes_src, width=100, height=100, ), diff --git a/sdk/python/examples/controls/shader_mask/fade_out_image_bottom.py b/sdk/python/examples/controls/shader_mask/fade_out_image_bottom.py index 90d609b6ee..903b6c4fa2 100644 --- a/sdk/python/examples/controls/shader_mask/fade_out_image_bottom.py +++ b/sdk/python/examples/controls/shader_mask/fade_out_image_bottom.py @@ -7,7 +7,7 @@ def main(page: ft.Page): controls=[ ft.ShaderMask( content=ft.Image( - 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" 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" ), blend_mode=ft.BlendMode.DST_IN, border_radius=10, diff --git a/sdk/python/examples/controls/shader_mask/linear_and_radial_gradients.py b/sdk/python/examples/controls/shader_mask/linear_and_radial_gradients.py index 794937dd40..fcb8fe88a9 100644 --- a/sdk/python/examples/controls/shader_mask/linear_and_radial_gradients.py +++ b/sdk/python/examples/controls/shader_mask/linear_and_radial_gradients.py @@ -14,7 +14,7 @@ def main(page: ft.Page): tile_mode=ft.GradientTileMode.CLAMP, ), content=ft.Image( - 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", 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width=300, height=300, fit=ft.BoxFit.FILL, @@ -29,7 +29,7 @@ def main(page: ft.Page): stops=[0.5, 1.0], ), content=ft.Image( - 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EkmZYtb/AP/EACMRAAMAAgICAgIDAAAAAAAAAAABERASAiAhMQNAMEETIoH/2gAIAQIBAT8B6whCfjpSiZS9X0pekIQmJ0psX6c+svpov0aX8VLhsXSE7L11hGcjh66bG2LnUhTyNlbLCnJM4+DYr6eDwzVezVYhB8WevZSl8ntDRx40XEeFSCaN0brNKWiQ0X+2OThSj8i4LCIiIaRsUuPRsij94+QRBpCaG4IeOeKUrxqLFZTiJqYSHyX7y2XEIQSOS8dVjjyh/IexLDxBKHgTJho1EvMH48QROqHinnOxsbFzqPiavC4M0YuByUxGRkZq13omf7hcjY2Pk5eBJkGxMSRUPyajLm9f1n//xAA5EAACAgECBAUCBAMHBQEAAAAAAQIRIRIxEEFRYQMiMnGBE5EgMEKhM7HBQFJicoKS0QQjUGCAov/aAAgBAQAGPwL/AOcn/wCl4r5ZlY/8LqSzaJdFJr+1sab5flOr3/tjT7fkZGxPdsr5/smWqMfhxDfmXWev5GnRsSS8NdRPRXyKCju+v5mPxP8AIyVy/BnV9x2+ZLs+F6bG8ZEqsUtvycpP5NnwZTOf2MX9jn9jYlk34dey41TR1PMx0bMwbnU2rJh1Fs3N5fcxq+56pfczKX3KTNnw3RiSfCUTmXLTp7M7FxE2Uny3KfiGPE2PU/uy68q7mEdcdDYpQ+x6JfYapnpF6l8iJ+xUH5vcW1ivkNcjGr/cfTrB6Me/FU3tfDTpex6Wf4vc80WS1SrLwes1fUf2P4rE/pyr/MV9OT92fw6IxvHdH6TJLuYslGc6JOU1XYUtTaY3CkheaOR14q1DcpX7CdopbFfBszVTa50emRhHpkbM+pfPcvNFGwstYoVdDXorFblv1csi0v3N0eo0qS2vY9SyXrieaOeh6cnQ5ip7dj+L/wDkr9y2/LySFHw4+7iKOrKwWkqjuaKfUlOtmZ2MZQ6j8UTehKqWwtVRjv3Yo3iiopHP2M4J8mu5Zbvi0UmzU3aEuK0v4THKe7/Yh4aSpfqQndtFPTHtQ68TaWxNvzeFpKXLZEl4l7fubxMToq0JVFLsym1vmhKCPM89Ry3fVjT5uz1mZYKVaf3NKjgjKLfyM06qn1kXY2tQty5sTRGa0/6jKi+rMK11JyzSRcdnlFQVOryfSq3dWV/Iv+o/KvuehEtUfTub/ubp43N+Q5TTv9JOq7myHKMVXuZ0f7iKVKsFN5Q3WeZf06XuaXEq6Nxu7QplLhpTPEdGi/LuYkbmWYNyrX3KU4+x+mXydIkfopxwKd5u7HDVdmZ4KX7i1cjV13j1LlGn0oWCtOCsdjO73NMdyLVql9xx8V78y4j1vPXoQuOP1dRJ6/Ej2G9NYG5Fv/qYknq16nuY4aD6bZpHHpwae5TMbcUcmXbLj+xT2Le/txyJsx4epdb4/qMRkbP7Hokfw5WUoSKql3P0u+9HNd7Mvh6SI0adcdXueq/Yt8N8y4ZP6mDPHmVzMFcuFFi1LJb9RD2HrjG+x6VqI6VyyblWYljqYbzvYquhV8ldTdMzCx6o0zEnsIbo1O4nqF8cPDvoeZvfBcm98ZMtrHUwbU+5etNmfEgiPhRjT62W5L7DzqLetuiTit1zQ7UpXufItGps81qPZEVKTtLoNqd4+w3rxe43vSIY3Neiuwpad+QsFUPHMePY34JvhpXQXtvwzEtCT2yRk+aJrQkonpqleDD0rmxKDbrLsdzde5Wp+1kcUlg8qH4ctWO4tSaswiqNmelkq8uBR1R0rsemJ6aPTkbrkeG+5qE63KoofZk+w0zBT4P2F+GJKHhrS+fc2vFGzo+KG3Xpo7cFONMcpR8zIKUX5UbcNn9iqe/QuEjdGw0pt3vkrU9PWx1mOkjiqeD1LSLOORvk7mOuSeFVcMMS4ZMHqvjuRG7u+PpEuaG0/L0Fpfms8IeSy9JHB4nYUja/YlfJW2LKVrmO9KdYo/Qp38Ela1aTw7mrNH1FZHz7UakxvNV0KWck8cuCshJNcLXSv3Plmrt+CKG5c+HwbciVpD8q2IrTuiJsXRmTFU2SpvuKWk2pcMxJVqWOaM6pLojmsczfBexWi++oV71Y7k9tjMaW5LW+yLsqzFSbWyK6f8HfSbYaHP8AT0Fdry2NR32Fz3PCm+aJX6Tfh8Et8IftexHv2IjdcI11Iex4vuRSTs8vq7ksYoppv2FG8D6it0u5JPxVP4ZpjtuUo5Pgb+nbQ/KjMX9zLSaLh4lrsiTV74ZGN7mhrAo01SMTbjextdl6Xd9DS6TyQUdh6Z5FTKPjqPPI3e1bHh+b0kMDWRO/uW6F/Qn0WBSs7j4ZbKl/Qw2/9RpjFXzHr8FIvwIQdCen3HCS+xpjGlnfcc4ukZZuSdOJZbwYYpRjfsScpSl/g6EWoyXZ8NC2ReWzbK5Ii+dbHxROuhz9J4eWn0E2tjPMUU1YtPUh7E4trLfMUbQ1dZ3JNNPFJCrw9WDY2RsJ0ZRiNcN6LcmUpJ92ZcdxenDOY3oyb+6NKhm+QqlpUuVFc+pnLo2yPG46Hi8iTTXwavqJ/wAyc4+H6e54cpWtQ8eYja2LTkmeXxP6mmX8jGfgX/BvsP34cxvWJt53PMldiWN+CTW5sbD4czc3ZiuG5ubGP5FuWaLdNEvJXwf9t8x203XIctFktPh1q6shHT6N6ISqUIrcX9x9Ua3a9io+k8PRXp6EJc+dGrU8SQ4vGeZLwvErfkNp8qFT5FPwMf5jTOMoLqOOX3IvVfuqJedaK+wk78pm/k1abyKelW1sYqKv5G6k3/mFLqJdfwb8brh6haaT7Ik3K7NU6VbUX9S0eZeTnk9f3JLqRjOGHZbhsv1CtXmsbEpwiljSkxOVKs0up5o4W2S3hWOetUuh5lLVzrhFGY8yPd9RVd86RfnLUzS5Ut8IUcSrqOo7myL1xkueDGTauDNRnhYqymOPNEcG5v8AhpPkeZ32NLgitImlzyOMpN3tgfhyadlx/u1TI3vWeFnmUTwzdmwxEnk9KwdPMMjl/cxNmaYzI+Pxw8P8baEmkJJbo55HRsvT/UvRklzyelH/xAAoEAEAAgICAQQCAgMBAQAAAAABABEhMUFRYRAgcYGRsaHBMNHhQPD/2gAIAQEAAT8h91y5cuX7gX6l+u0yamovpfqewxBJftuXLly5cuXLly5cv2B6BmFPRcyvRm/S5cJcX11KetafKML6lSvZXpUplSpXoejiJK9nHqHpiPpcv2PqxJSUlEr1PeS/ZUdMwB4m5iX7rly5cuPoMX6L9F+y/bUFKqX6XLjBl+oRfvX079L9M+8IQHtDElSpUAuVfsFf4K9oBKlSkp6KenD0wPS5cuLfs4lZgY9X/FUqV6V/kCLLl+i/Ql5l/wCYv1qV/lqHoPUnLKle2v8AFcv/AMYzG2Co/wDmIvsq5h73UJeUfWvbX/juX7r9EDBPVEvfwG/TPo36npf/AIa9Lgewr0qeOJYAaFfMzbrH4lu4y4vsv0C409b9p/gvgU+JVYAEuWy/bqWa2/LLYQ5bl/4cdS/SvSvdUr231FyuCYg9p6cwxuOH4xmNMU4CLAu6/D3VK9L/AMNYWNnFQt/gI2dfMGz2UQQtVtQdrauncL537TJ6MdWXcpRNs/8AJomFQpsf8ZaLjKcPcwpj2XMN6mN+yjQ/iaJw/fsHEXzF6uqgy0PKS8TGgX5GWSBptla4rzf/ACYCWQS/c4nEVO5ljK4gNPwQAC1bNzjH9wxZfghzybCU+gmtrN8QBYJ3z8SilPmYGz8wCsu6hdWI+ZhXOIYy2lqCUBRupvGqwQ8IrMwAlHUwAYgdooUtM5OI/d8MrRaDEU5EKP7MouhmFa/KlZhrmlqEPpS3PBBuvPLEi0A7YL+IZdx3Co1LrggWK6JByChwQ/Y1hsmjBmXVYLAibRryx1wG2WXOKfEg5uGUePEyFVviUTLyeUbaVV5gynnDGTIRsCfESGnwsLkCuYyBKroukwvhAWaUy3AzRyzFACliiYmngdotKXLBhUlmo4YRB1Y2TzboiHMcDkmudO6J5C9ypb8GZwGkc8q4zbKIm1eMwXWjZWZdRZd5g5/wsxQKHSLxEAC/Fi80+BARVs2vEc6nbnmbIhipzKFKmM3EI00NotxwwF1wiABOskL8oZQHOL3HOW0LBqAdrbK4I5uJ2nBZaZmTAm4QBUlDgGjEVXJ4mbh5vcqF4u6gBx/JCmjrf9oOa3ZFJmhpwxaLODWbgtbOlQkwt2CYP8yLPXdI0k2b9y9gPuM9t0je5qayNvxKy8a6BlTRvhuYwOGhzGpXlYZ8U/ctVg/UYxAV32gVXc6tMjiX0qHL2JgjUCRT6E7iHT+Z3oCICLF03cAA4iqjWcdtRHyHPEWCLeFaaU8FivMBOCAVAsF0QQEEXtQOUu1FPOWVs1qN2UZsuMkfGPGIPnWHLg+IOEx4uVQL+J2A4qZc00Z1PDhKbiaaLqIr4TUuEkaBD9ZjmDAVKKOyLT9QANDixxEiA/Mgr3IBxnEEt1QFybStRkAC8MqqrO8MSWfllNUxqlBn7JTXEe9TLqasVQrRd36lJQ6EQH8IRyt08RZkN3n6TfDi3C70OVRDQ2dw74uq6rgZrS8vFzacvXE+B3iLlzweJtR9TlIFDQgI2DoxBclgvpAFBnY3KHUAO9xXR84ls5DcKp7TvQa+SwzwqagJkR1BUj3ckD0UHMN0thAoEDQcSHOrMjfmOaoOHmpoaecxufl1jgAVnIliwNmrljDu6sjXdKre5Sq3nFv4jhoGFvUcCisEzFXAMfcG/jARRQH7jdQDcRDAlG7ZR/cpzkcJpKalnK3lirBLUtcLL1kIaFg08LTA68dH/UHdpZjSobWrAq42hsL3DoeCD94CZgYLNquNXKXcV5HwY4Z6NmIa49S1TTOhlg5rlxFpFdsSotNz7ZkQvh8E4Z2IRZQNviUGXA9BBJfXNb+hzCg1dD6S+KLQ4/MpvDlZ+I1MvjjcKJQ4q4Yoi2hjUcsSkX8RMDHmVsZ1dRhFvQ1Kfxt+5vtqqZQMDoJgOx1mCWFum4RdlnUyXESAMviYTkM2kzsqqupfNQ8cZcWgV/c2FfmEsNUSniI0Eagy4O5fUWNKvMBriG5pIvjUcW18QIcfUXZVv1Btb5EfEq3WJhSToMz7YXChrRthmN+7tibK/EMLf5ThuOfmIRvUVWYzWxLqt12vaLqWrlgsMaCOGmyYM4zHsHzCtgarSKx2cVzEFijzFy4zcFbZZRu8axUyP+cAMpXUa2Rv80SzB2DcWAvZdOJagc0EGthGnV6dS319zKi4dobvjVDIrzFQwjtW44GXl4TxElYaG0wAwHwPiJcMGb4YuabrbuGxHEFqOGOUg+I1RW6fNxBV1f5uAIhKZ7llia/uV4FOnzNGuS96lALXTfzxAZxC38yxs7WdxZ/eBar7GZyN4MsTg4YGE5h+JeU9ygb5BFy+0WAN9m0a5I5hIF35CqlCKNAOZxqEyZhoMZdMqArRoREQLmgha2Q4moxSNFmNhVh8C15nDNtf1EFm0DJ3+CIBo7b1PDa3ctKlVPiZr0plbIpbLlIg7iLJGugL1+Y1SX/smyzmIsGuooMCOuGUCF8ms4jxGtDxH4o3fn/ksTyHio7oC0JRYFn7S2FJuozsCocABy7lKNTdDebliJwTKWjjGIpVfLKraKbUdhE3X3VLmrKLRmExMFMMtMmZsaYWeZpeFjEdzTmfmLAKu1QLUxHB+EuK1Nrd3qFtNVcy5pGZQkfJB183CuXHKRiTGf6nygoGN/3FeE064zFz91HTkqbv6iEsMrp1LlCl/iDfKggV43+0lBbDaB+5abHNuOJU4LHxDqAChp3zMho/Mp0nOYpVyqQSMY1uGmx9Ttn8Q6sPCmH5LjAXTO1EzKNN9kXy/X/YSiG16jkXt5LgFy3aJXcciBoeTxEzaHaKAPgIZafKXVeGnMCDlLrmXSTzF8mO4t7dOf8A75gqv9zYc0v1Nu1j+YOvwKnE5olrk1DTNQXXZfuLAtupfxp/caHauIDTLmWVLjH5AX1BCWn/ALLHZzjOpdNBb6lXmzGjBSC9270RZVXcyNn0tw+VwjH1C2coIUQxFl38zo5DmEq3AdRKKrDmC43sfiAwL6nOIiJosqmFaNwKhXmGIiNqV1MzOR1PwhmOOgKfuWCqv4iN2h/KWq1X+moX6qw35uYfSKyeX+psZMLvzMyxRCeysUwVZXXOYPjbXzAM19Liq8fiNWOFiXaJmvqCjDDHFThlhsDipRFT5ijE13HKwO0RMqziEdZF1GmxDzG7BxBEUKYt+IXOjaZ+oAVdTyiJdr/iUFmmNypudc0M0OF4XMxaKWzHlZDTqNpMILzLfWbKIUFxecyyuRIYIqVx3Ad9KwcXFsbbPmUwuG0EqJk/MdqZcJj9igc/MbackIchx1MJrxslLrGn9y6trwjulRBoSQZAs4irBVG5RRhxTKAIj0k4M8r+JfJ5R4OnPWyN4AKqNWNcOkwSail5YGS1sTkg5rcAaw1RmXCsS0TjjHDESpp8RnioSc0umiaq6/pFFR0JjMxrmosVOcbRkuTECSpmrKOpjqeAwUYbZlgAgr6leWMFgrLQF8kG1qhFBkjGjN9CfAuHBvAkriW2Pcszt+ZkEZq7+4X4zbFMXOem8qzEuaOZi7B4A8xxob5l4CK3mfKekxdjuXJiqix4LbVCod+CFrttGzZqZNH3Lot6sNQ6ZS3LFzeQuA8HLsvzEdlvAy2aLFYzFgGexiJ3lpeUomCBMMoXD6r1MrcXV1KVWD4lVScDbcy7KaxMhhzWYXMyuLY4N9r/AOzCtFcYQGWLaArzMPbTKFFX/UoWjzOC3XZFxfZchcpCk5wLndITEYBjvmZ3aZpf5hlJnLdSNtmNQVBD3UvhrKnxKM9TzMaDUgHWBxmYo70oQL9EQxwaC2+ZWqVLjdcAY6cL+oFFbJ/d6YK/ZL1fglwpHh5jsqc0RUtUrK3Cr+YHEx/0JkioYa/iB2pzRiUfIbyoilhQwV57hFyAKFzKiPiLzM7exc3GO1GYQzk3hxMgbcCVRU5zqEVYcBBUQHnJhUdGrqD1T8OYq67fDuUCn8Qez8/2iKQqskZ+g74wap2Rati2Bjtr55iHgeZVf6MAHQv5mVkMuCO7cMvXcLIHOnipQVn8Rol6YlOWv1PihPHZeWb4PzcW0DtORhAJuqJTJfMs5PxLoFajVVK1P95ZrjH7ocQu9U5SKSq3dbmUDw2fU8+bMniBnDW83+YPGFkOHtKK2GY0NIXh+YcEXdo/JCY2NA7/AHLBryUyxFpvKAMONqCYQBXcMWppliaUEmwItfiDAWKNm2bC8CM/H4MLTLmssCdN20jUAVccu5edoK7jMtarCyMRZfZXMfYrhbf3NvxihcLdb6SgAAvcbvuVVmZuq9P3LcTi/wCTDj+ZayNV3L7p9Q8fzjjaHYdTAOrnbDjW7suAh8nj6huoWKbQJS0UhlXPEOGAMeMTBgswNsZAxYa/DiIGYyH8y2dykSBg4EZYu2l4ALpZYNPCK0MaSBSYX8xQjXwgs8tNupRw9DN0XbQTEBX7hW9GChNfl/UvIAywYlfyt7mOAGAaQ8umtQz0+l4lNA1KJnLeczBGK4OYSCwzQ08JzLzaupZXAbGAOOEcdzcm3RBaU8XOR/C5XwyvD9Sst+0yzN6lmme01CHmowC978RTkKaeLlDhVSleSFYc7vN/Ez84xlN9xe1MWW8vpdgbGy5YWs8FdwNHf6lzo+4/hl6gHLoXH3FF3D2LqG44trVm5ndBSmCJK9tZ8S2N/FaSh/PzBg/or9RVNRAwjTVK56i3H8xjuisKhtgv5H9QFpSLRFh6Z28v7m55AzLhQQFgOsC57KYQfDuUQrYOSBsflcqBw7wgf//aAAwDAQACAAMAAAAQpuNOOc8YIN1obd0oFzHus46+jykIkyEq77ew4jjlp9TVUlI3sIwJxLLXRxs/VXhxCIXkZp/QJSXDAQAGa4ADFAiiCX+iBAAIQEEJhQiQ9qFWpWJrALewSIIT26eGzr/4Jg17b46w0VZTtjfAAw3oAxwvnydMKBoETlc/N39GFLkgPPsVr+SMJOklGkCkgqQaVRpCuOVII3LmU/AAOcG+55vNrJfN6D/7gjBEr4ydN0dQ10a+i7S1cHoGFYPwIq6f7JVTBXaUQW8TLLNBu1fPZkpCFjsTii6q+uhG6x4P6Gp4kwrL6MLccPZrGhDgn80FDDfjYEESx8oXUDENrqUgQ3FpS9z5tMPnWth4afqSF//EACARAAMAAwADAAMBAAAAAAAAAAABERAhMSBBUTBhcYH/2gAIAQMBAT8QeH5hDwxDy01iGNRll+JRPwlIiEyYZYbZXii2WIaZ2VlZSjeYQhMQilKXFRcUv4Jis2LCH+Glyioe/B7INTEN+MyouCdezRMNCk3i3FG14LB4V2NTTXhdF8INTCVJBdyqOzoQkvZK9GgaN4p4TQ39C2MRCRlGQYI20KfBoEtiaFDfgVjThYNGIPYmdEPVX2RCpHX0cv6FrUsOaLY2S4TxCWsf6B0Ns6oQuiVvRoEf0hNwKEMIhdbImh70hIwtD1BV1lf0WC16IJMjb2NQ010Tp+zcZpxFtUjRG4aE7hr0oEGTIJPeBIJbIaHbjGlYQJJcGuMg6x1OjXo3gr2UQdQpzDRwTvo06iIbxsxpdISP8L6h8i6wWNaLisbbehvYi2JY9ieQ/ZOQgCzZlBsRrE4awoJL0SbG/ol0JRJBwa9ibE+iZ1HyIayzi6LehHwXxhBV6Kl0qfC+kf3MWJRsuDacK2igCtBwE3RsmTN+ifQqnfAYkFhkEknsYW6E2J0//8QAHhEBAQEAAwEBAQEBAAAAAAAAAQARECExQSBRMGH/2gAIAQIBAT8Qjgk/IZnJwcvIcP8ACbzmwwuyI/ZKUmHDONyc+S7tHBlhYWfjeFttbudZIN4ZkwPG2WfnOd46jCXZm8Wf55L8sY5YZwHeNtOGONttnY3IW226M68sjrjIMnleGOMjJD5xnCljPf438idWWvzQ+xe40Zy28te7bPY6XbyQO4BCjVYl0uSr+c7GpPhlo9hhM7Qh033qZvwkmEHiG3rh/Cz6ZO9ki7gJAd2u+wF3UfnH/wClgRmWZ3K+Ww7s1vSA7Y+HCDq6Fu/vAsdh2v8AZ+BOHlkswM2RdMYOogD5fQjySJdzY15AO5B1D6l9gvlnyCeXkILbwKvTaJJPdhKfZPjdANohCMhgj5wedMP6yN44ak2AmGbw92f1vO7DaO7Hpb6g2Ddj0cG76LQbaPd0J7fJS1egbth6mO8IxdWEDAkHuPRwt6t+pdjryF7KbVmccnt7YxqNgSBuXb84CEv9mHDxQ3y+gkXvLqyyxsnEH9t7yID7wYYwSZJ3fBvJSQayXyWMOCSWYQ7xp95N2EW6iid243//xAAoEAEAAwACAgEDBQEBAQEAAAABABEhMUFRYXEQgZEgobHB0eHw8TD/2gAIAQEAAT8QeJ3GPM7/AFAamP0dsQq/U3BsuDn0L0Mi0CVkvuC8RbhBtzv6ckqLWo7huMLsePouZ9HL6Mfr/PpGpdS7gRO4HUNBATfEQG7iNiabYBXModwrUQrnZjJpmuYo4IqVLHUtuUYpKRTw1EuyWiviB20X4lpTKfEp8Mt4lMFDxS/cMw+gPMBzHYs7+hMjG64gKHSy5VOrMg8wAlQDxBCGvouWQSIYoRR8RiJA9Sx6nxQIrIg6JR4lEBATxKgEKJkIoWmRfUammHK0zkjtm6BbM1MSkNlR+lw9vpPpp8wPM+ctI9/o+f0bJcuDU+ENgSpUFXDGPEXtgWKVEVzEVFdhy5MQ8Yz5/oDcv3FlwZUlSDzFMWst8y0bT6NlstgsuFsRlHMvm+IBdwQOCCVK1uwHiOqlZ8ZSLzEizyy/mX8y0Gdypspq/rQShlUiPptLyjPpD3DwS7qV8T1QBMLua4QEFD6lZ0oNRb+npA0uGZ8so8RC4KlSpRLi39aIcTX1KZyuUR+gvmXL+lsGm4eURFmwSbmYWhqXFRDAjWw6Y1OJd6ir9LYuQhzCqlHiUeJUGj9C7szyxrqMOf8A8LYiv0D6AePrylH34wY/RV/RVS39VP0FcYu4fpePoc/rOfpU4Fc5fiIK1ULefcFZ/wDoOfS36PH1JcuL6F3KPMCoNSg8xTx9K+obFDHuYe8R37zS/MqUxofQ5nMq/oP0V7lwW5cX9PU36cbBYIyLlr9OpcOZhmr6lGaJVBXfG8QADbAuuW2fMpT3KpdTfEVLrJX0wyyIly5cv6V+irlSpUuVA2EUBRymQCF8wFciiWJWfRkQy6VV/aX1QBLd0/ajJc0oW91aFxfAOJRq+SfCIldS2HMWpT6ILsiC1lkuVhT3ErxLlxSyWS5kuckGuY21sV5OwVAIDr3BHGRbuXqXLnfMr3LsJqkoC7rp/wC5ifxCTK9v4nAax4PEd+tEMbi20RK+iUqGxVURC58mUQp3KAle4EqBfbPkzT3KlQ98Sjoi2WlcId+4qS3bWK11FZvP6HicCXko0VQUOLYoDQW6maElMt9x9bGhOPD5uVWPM7lSiVKXEdR5lmbDj9FMqBsVxKPMAKPmu4fBehjOZCOap+KNm0dcypRA3JgwKo7f8miYLAoDh7JQYrsePrT4fxOtjA/DOyNYORVb+0VqNgurRt/CGbQLSC3fZLAQqC0V4qVWeJ39b+j6lSvpthrjJfoO25Uo8fQ5+n7c/mGbQhdrEWAS2wu4sKisQy3YgH0C2FOWu4FUgYKwxNO77lwbr8fMHfQoFCWNIMls3w/0VQsPYRKIniLKzSoURsp0bXXuEIJXCvXIN1VsjApePLKrPEqV9KiBcKShnuLRjPEEU6wgP4jYDe+o/M6qCx2XCW2LKhKrDyX8RtAStWOoi4ZAUFkM84eZsM8pYCllW5SxYt+6KOhLGShtlvOCpuFkFLMHmaCzddZa1RyCUDLp9F97n3jN5qiw+8EEJNOcrssneFrU0iJWi/Ko5ZveBX7yqiL0JTv5iowbUVrXmcPlaHCBzdwvhaoEaruMxeOLX8bEBoOa4H8zW4HR/nmPLxOf3uZT00N57d8QImYav95pgNKh/sA0EFwURMptRq/mOkA5Qoh1L8hHVQQHa1KtFniodOlSqX6HggksFdlRtEy0cxniqG/MFjSyR9f75l9FyrSAjU0020c+IOWA8oliRn0Lh5qv3lkBaKVVfzxFUNq3AnYgZMrQHMGOlKrb+IBgvlLZOilpW/MRq6db5gpZy903hKIWiA5a5ESURdV3kHPtWoA+YDhMDTCuvJSLbxUoUktA13b6jRLTalPtkbS9AiAt1yDl96LD5yASIDW9kdqPYJ6lfzWWWhT9r/ePM3JRs/h/9U0BeU0mxeA4/hl42vgEl3Hh5A2LHR4nGkwefcDd9h4jxRHFKVGGvzKdovSsCJuRrPP19mUAngL580w1plt0bz1D8TsqjfmHCRsNodQgE2VX/H1HbsEDBVXNEVcSosrr3UqlCmowA1x3+Jm8oehvMxYgo0b+YwC6p5IFVXTFOIoE2L1xLSbXkHoltizjeSoOgcRM+CFabM3+S5syc4n9QSHoO38xKHFewDwQKidEwxbYnC6t6JuxeiIM1LmLwsQKA1BbXhVdkLYcab/9cI4I2PJpGpUAK6JalJSd2o3nxX3lDUWYbbrBAAJ0Nt3ZfrPvFCIZyFdiQUwaRivImTX9FpnU1dQtaPiUr4SQMr8th0XjuD1AZ5I0RFJBpAAfN/MombSug97LVDZSmHwWOpSD0qDviCZFyB5bUQYDdKtV+P2hvS00kA9DzKAIAGi5XvdhzrVzkPdY0F/MyG6aLvRNbB1ynorOKd9xnDkAPgf+QngCQW3+IjYpLGd+0QKRXOnqslH7NPZ4vmOlNivO11tJUe0Dgh5O4FAtCW7L7zmJcICeqiNnGTrTz6l2FwHR4MlYLiUNCcE5wfR081FC0OBCMr8RCjoWLCbn4EClpYICjRAhhKQCW11BrC6jp845GKYCF/GUu8S9qwhwA8w6Nt8SsCJZBG+3viJO2Wq2lPIywjCwXRr35lBpXdAeXZzHDaAfKKHMQWgIbplV87Mz8QKgOnYwY3QoDxhsuQgBFCt7xW9S8uV2B/7MdQu0Hzj5llNeGD+0q5mii543j7TDFQUUvij1kQqqKNq8csbaGwuUceoGHtFHgynL9ottSq4Ky/cVfK+HL+ZXwAgUUmQ7sP5LHT4iZSfLUuz42U4MuFrivRKAAdE9OTINbfQWdi/bIRmVS2KeZacJRpX7GURFSFqb8ZB6QeK3p+IL5tbtOPUspYhYDQo93ABxHC9tHxEDuo1huKCBWvas33HDNRdD231A7Uk50NIVowDLFCwH+YoAKJ2sSEsRAuzbNlm10Rj+4XMBaVev3goag3vw3/U6oxEcOxgOWAu7bxMcJfNYRUGzx/cJ1obzd6yVcqz45D94wFiFDYVrHCBwjCQptNQZP32aLfAJ3d1ewhaNHA0o8/MAcELym3dZzDocUcNtH/1Gw8K6Oa8faAifRUgC6decqG0YcMw5EqUE5yp6lSLyLSFLYWW/tF/NVBbr1cZCTvedh7Rv7BvURHQKtTJxDx1Ldm3W3r7uiGG2r/4I4gAc5e7Xv3Fvim6cbSRqwZAg122Ury9TKTECBW8NLpz/ADAhVVAWzoLrhhf1ZUSquvwP4nMXRNu7X+oGgNwDU+SW5I0V4RKG6Ba5UuwaaqgXzK5cSIzqkJfLMwAFcrFfPvUHZUewBe7eVGQOhLW9RLuQ7kDzZWqsrVi9A19tEoa9XewnNRrRWVA7hApRABVw44NixCekg3yf9TRh0dYtbUOZzAZi8EVWDfmbxO9VTa3mNAkiqNLc9Rd4Lor8ygzBqLW1FT17WcsfmUjjaCn5Yr0zjyPM5AB8F4hENgl44Vc7EJXzUVKkaaeCIDXjzxtQRCLl5cQfaFrhVzbDTHdw+A0tbeOCo2ES7FVRIdiYDZxXxHK5SQuu4FvTtEKCF/ZZjBDWqxQl/JMsG7oH7wGA8hKqRV4EELGcchEBDBvLxRAO90ggjj7QhEt3XcDQr1YXkApcbAP9pfZ/iz/cobPjRIX68LpP+y6Tt2pi+1ieLeXcImgK8w/DctbuS2q9j/cedFAGQcArnioqtECo8Vd/uRzN/gtygFtsQV9xmgKhfxdQmqQlu/BB5FeWA88feIAbid+XcIJE8j94CxZ5hVRj0WHj7R4JGNsuMRRBSuvtFDjSaH5ldQjHxNyIslzF+peH1KAwNe/tHYKCRW7931BcauImE7IHFePr7jxCFbXLDHismUjmhVLXR8xouZAVBx3plzeVUPESdG6Bl9EdlOhb/wCYN2ui7blFfbV+7xFvlM4IDMqC5d1GHgQqoamtepoDcvs0Uhr7wR1liydLREbQFpvHw4ZdEW1l7ayNIRta2WKTPFxBNRmWHHzGACguBNV1isQmkK4IL+aw8KkDAeKjnqLKgLZvnfUIQljb4LXLpksOSxDaurSmBElJEHDw8v2EQEg3tRcBHIdt8wUl2hObjhVtFaLlNtaxDT1H0DhFq9wfGR0VBUB/UWI1vPp8BKntzZB/MEtQN8z8GRpQaGp+ySn0F0RRMagbQBzFwICgY518RinK3jo/OEY4mypZ3EQtVTW+5f0cM4PcG+CMJtN+Lg+UGW0nEYNLeXr/AGVhYmBsH1Ut293YNls8iwsu/wCksxhJUtpC5aVRdi+d394Yxa9D45sLrHJpa+PE2hmO22KZxQq0Xp0yo8dv8/7DFsR58/8A2GTBY78P9SiAedSVUgM98/tUQ/TZtlhogWgVeeOYR5SacANf3Dg2lKAc/wAk21oNA0me5fHKvezftKML0tvVXmco4pPvTo29+osVotWHinuCuwQbd0XlfGS5QQKy+DIkhHSyT5twZw8XpVf7fc4fsKlmcuy9xDGLK7PjXSRAslV58QpRridS8iulgf3i6lButC/EbdKEovFfY/EIzo3iHLxLJpWAwYgZ0Qn9ZjKIbxuElIKTzT5QDwo9gpiQ5bVltUf3A4tTB2XCCAloenHcRCAWN/1GIH5Fc7zWnHp/yHal3F6j+BFztUuc3/dRRmOeeH9xsFYnQQnE7ora+FBn3nE4V69XBSKdiE4908rz9uIGWxrUUejuJUpaObTZLFgDThXG2xfskj6CUW2Nd67QmodL3fojFWT+BTysRrho/wD0+JXPq6xRHboCikp/2ViQLEHjqpeP4iT8IOJ/F8jrRR9patflAR9XEgAUmuKpuCBStzU5Msg/sL3+4Ja2zzR/iKNRLfA8PUWqitnUcbC8YU6a3bZh6JYIlPj5ZYMQ2OHH+EBRoPFhRFvjyrmDZVDhVHUvqtgmg2gIu0EVTsFgHuL2kvarNFEzYQ/mUOqD+kaLVZcXpRYb5V/MvASqTGrFyzng4rLxee8gHKqr9uf6h0LEb48p/kQHirOK8MXcgay7gm22CrKt/cfAAjfm5VtIdNIvAKNNHuFx3IKorSvfM4p6ma61/MJzTfcEMJDWxLFb8S5lPYEVTwHT0r7R1g2janUVovENIt6ChXEbAJo/gl4wNyLWCVYaAi+vKE1aFQUe6j4VacKuRWcxVXRaBSDzdZHo2EMSrxcuvAXhdO/vLK3zYfs9MGGVKIAo9S0JrGyt5k0l1hlPNwe1w0BZpzsXDojisfccZqkS25LgCtSK2owNIt3lC/yERVke95F3xISjjyM6l4LEFcRf5IntF57Lt/USh3mr7uYAgke6afzK3lDGmPhGVZJdd85CiDLWY3f7JEBVjKU2JydQFWwyoIeeS/M5kLT2qEwADtijMah5EILQCUAQDR0WuclwWdBuP5gRPmDTqAnHCv8AmWuNmqpjNRBa3wXz5iKdhA81Laei98EAKaAr1LTkyAD6X4iNs5G/N1K2KSq03hfMZmI3dKqqCGyy6v8AkaIVGK/tNHHFpzGzQW8TdZlvuUDpLFtuaP7iiYKxXGUXF1/kz+9IcfyA8RAZ0S+fHqK4ru7ONb+8AlutVLXf7wOIRqat4r7TbLVDZXN8+bipWFlhbSuPca+vC9il04hJs9TgNL7QeNyvNWf1HJGKAp3QHniLdwSmfcSV/agoAOW1XccRYGUqX/2A4Ry9PxzLhHL5NfadTUR39opfbjYtD1Ga80IGyOFazyZf/kVkLDYMuCItGA1Ql/mYRZWCtj/EqQwPLy7i5ByE80rsmuD45lAyMQhKwPPcNBspZPv5jSBjUS/JEwFQoJ6rn9prwSFQpou/ZYr2izh5/wCR0UKSgv4TkGGsFvg/ebvy6LMG27lC1LIo8WD6gAzAhVl9nTUwTBUwPbmIMMKLB8kWJkHa2U3Lwjvabc8eoGAIhCui/wC4q4mK6Br3At831drQU9f5CJSVss5vfQXFDoqOBUi+UhpSpU6t7iU5h7g3PPME1KnFznr8RIKpNdnSIhjKF7eTGyB0uKRBcW1Crig/3IRqq2Ahe4jHgLXnomkBfs66JYyBUP8AQSs0iob8/Yg1F1i1lQgLLsLN+8D0ZiA8hAGpnd4sRKjlaWfEU0uFUjrlNHiLLpUmFBORz5LiMqN7Df28dRivsyx0fcy6dsFIPGjxfX3j3pjBeWvULCKNw+zzHn7+xhle408LGACneX49zBvoAKqOf8io9ORW6v8AiU2aljo9ffzApP4CghqlnL+/UuizALG1GCFOKFPhyXBu3noaTyY+KYNaBYXOw90+4ux2Ea2gvMotja1yQARaB7OkNi6luA8f9lMm8VFKpgKQ3VpHKop1EAKHLcYwoiNWlf2wG282HQDivMXfVFKz0J4iEpYAYXfnhjxAWtx0SDtGvRt5cuMVFEUWPPsliERiv8pQ/uSaR9xMjywsR/2O6SzQbzj8RqYhWAdvzL5As6ewQIUh5YCwrey+YioiZ0MW4rYQLT2nkhQTfm//AGzaureLn8wa5s8WRJk15D/kstA1QdL/AJ7j+xtQbrM8kTLt2NVX2YlpYNNxzONV4WY+ZuDuK2/6hNWaMBN3QzgsMVPpr7xJOKlWjl+WpRgiwMd5b147lYQKC0B84HcVc5aq19vUGV+BO0boPN1EU7JqR5YBu8u0Dw/ePF1VXk6ra9wd0QWKfAP7+J1Q0pBRWuDiBxeJ+4f/AHcBmeLeqdvxBhLKFZbydyyjUL5D0JsPS0vCAd2mjxCYVRLWd0nxKQgtF+PxLeghwOftKSvFmzl/2PXssrQObsAUClExYulosusICltFLXhGKl+HwtP5/aLFWitHNW99EWbqwcF/yYxQOQVktGuhReOalEEFo7fzAjah8MdCyAsKtvv5YI6bL4D/AEiNUdIEWtJbzT+04ojG2l8RSVSJeHE+2peoR8NSxAWFNzu4AiaKF0S3w1QcCBRSUYcXxLPNChdC679wxY1s6Xw35tjpJWKBYWn7jcvgzS2i+iZsJDttZbeasN3DH8EmOZXFxNIVRYOPbk4zY9wHw4+IrlUPOvk24qOPXv8A5q6B/MTV9dElOVF8QRN5ZoaTR+CJFRjyeql7qK0FtDfiFNZhFdiDd+5k2Y5PFDzKZ8k27GIcEVwK+KlSeUXQf/Y0VERSj+d+MhbHlwhK4CU27tY23hbZnzDHlwNs5tlhBX2QbXO4HdiTgq7eCoJiJJe+DK/+VH6c4gY9VQ5zxEbfSIKHfEyQAu/7x+lmiaD9uPvHRJRpA4lDyIwG0Gu0AvoOOf5ghSk+B/EErdfMmms4BIOJZ7REf+v8zQUAujXNRYaOjhHQXiupTd0TZ8qxEtwUxR64faAQwhQhEuh5fEAFgLK3jiL7WA2XKtYL2r44mkeXBXJXxalbKWw8ycgvWAHWMq+tXI1UW8i3SNlGpS7ypkLi1Ma+HUr2LQwdu645gKegULtX/EOnJApwAeYIWEyLwt7qr+YUC+sbiwFARLNFREpoXg89mxCnA6JWCneokGas6/wStYssPYW3nECeIYNA7niCdF+7ZWZDzOfdLb4wwP3P3ifAIWOeLovzGXUFosV5ZYnmiOx+Ibtti5GFRVN5gKqVysXATrcWo67+Jl4bS7pneJmy/a41kAcDYLKgTyInggG4ng9y1IhccjUAH5mOynqGM0+Kjc0PeorRnPZUPDW3D7miUsC+4Ar3BFr57gvejvLXxGphhi8cQh54unI2RbBUUErwas4Py97+hGJW/aCbDRuiMbx3DLPkGuR34lHHmDKiZBdMcFEW1tg6YlSm4te3mAKZjChzMSugaES8VNsKrKb0De/5h+uDgzno9Q5ykpXzzbEWrUqjKuBsu5FtDCEARqQ5DlS9Upgs/pDiSVv+SAXY2jiMASKDXuJgR7IUTarpjdBavF8JDkFgNBEml8V6g2l3v9oDIiAu/mIlPTHbHkP4ItVOY56PlGWFrSytlwY0KN8+bimBQNyqplymaFAzdksl7lo1W0pQX8xbRvgt35lRbEVvKlf/AGn/2Q==" 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Kfxt+5vtqqZQMDoJgOx1mCWFum4RdlnUyXESAMviYTkM2kzsqqupfNQ8cZcWgV/c2FfmEsNUSniI0Eagy4O5fUWNKvMBriG5pIvjUcW18QIcfUXZVv1Btb5EfEq3WJhSToMz7YXChrRthmN+7tibK/EMLf5ThuOfmIRvUVWYzWxLqt12vaLqWrlgsMaCOGmyYM4zHsHzCtgarSKx2cVzEFijzFy4zcFbZZRu8axUyP+cAMpXUa2Rv80SzB2DcWAvZdOJagc0EGthGnV6dS319zKi4dobvjVDIrzFQwjtW44GXl4TxElYaG0wAwHwPiJcMGb4YuabrbuGxHEFqOGOUg+I1RW6fNxBV1f5uAIhKZ7llia/uV4FOnzNGuS96lALXTfzxAZxC38yxs7WdxZ/eBar7GZyN4MsTg4YGE5h+JeU9ygb5BFy+0WAN9m0a5I5hIF35CqlCKNAOZxqEyZhoMZdMqArRoREQLmgha2Q4moxSNFmNhVh8C15nDNtf1EFm0DJ3+CIBo7b1PDa3ctKlVPiZr0plbIpbLlIg7iLJGugL1+Y1SX/smyzmIsGuooMCOuGUCF8ms4jxGtDxH4o3fn/ksTyHio7oC0JRYFn7S2FJuozsCocABy7lKNTdDebliJwTKWjjGIpVfLKraKbUdhE3X3VLmrKLRmExMFMMtMmZsaYWeZpeFjEdzTmfmLAKu1QLUxHB+EuK1Nrd3qFtNVcy5pGZQkfJB183CuXHKRiTGf6nygoGN/3FeE064zFz91HTkqbv6iEsMrp1LlCl/iDfKggV43+0lBbDaB+5abHNuOJU4LHxDqAChp3zMho/Mp0nOYpVyqQSMY1uGmx9Ttn8Q6sPCmH5LjAXTO1EzKNN9kXy/X/YSiG16jkXt5LgFy3aJXcciBoeTxEzaHaKAPgIZafKXVeGnMCDlLrmXSTzF8mO4t7dOf8A75gqv9zYc0v1Nu1j+YOvwKnE5olrk1DTNQXXZfuLAtupfxp/caHauIDTLmWVLjH5AX1BCWn/ALLHZzjOpdNBb6lXmzGjBSC9270RZVXcyNn0tw+VwjH1C2coIUQxFl38zo5DmEq3AdRKKrDmC43sfiAwL6nOIiJosqmFaNwKhXmGIiNqV1MzOR1PwhmOOgKfuWCqv4iN2h/KWq1X+moX6qw35uYfSKyeX+psZMLvzMyxRCeysUwVZXXOYPjbXzAM19Liq8fiNWOFiXaJmvqCjDDHFThlhsDipRFT5ijE13HKwO0RMqziEdZF1GmxDzG7BxBEUKYt+IXOjaZ+oAVdTyiJdr/iUFmmNypudc0M0OF4XMxaKWzHlZDTqNpMILzLfWbKIUFxecyyuRIYIqVx3Ad9KwcXFsbbPmUwuG0EqJk/MdqZcJj9igc/MbackIchx1MJrxslLrGn9y6trwjulRBoSQZAs4irBVG5RRhxTKAIj0k4M8r+JfJ5R4OnPWyN4AKqNWNcOkwSail5YGS1sTkg5rcAaw1RmXCsS0TjjHDESpp8RnioSc0umiaq6/pFFR0JjMxrmosVOcbRkuTECSpmrKOpjqeAwUYbZlgAgr6leWMFgrLQF8kG1qhFBkjGjN9CfAuHBvAkriW2Pcszt+ZkEZq7+4X4zbFMXOem8qzEuaOZi7B4A8xxob5l4CK3mfKekxdjuXJiqix4LbVCod+CFrttGzZqZNH3Lot6sNQ6ZS3LFzeQuA8HLsvzEdlvAy2aLFYzFgGexiJ3lpeUomCBMMoXD6r1MrcXV1KVWD4lVScDbcy7KaxMhhzWYXMyuLY4N9r/AOzCtFcYQGWLaArzMPbTKFFX/UoWjzOC3XZFxfZchcpCk5wLndITEYBjvmZ3aZpf5hlJnLdSNtmNQVBD3UvhrKnxKM9TzMaDUgHWBxmYo70oQL9EQxwaC2+ZWqVLjdcAY6cL+oFFbJ/d6YK/ZL1fglwpHh5jsqc0RUtUrK3Cr+YHEx/0JkioYa/iB2pzRiUfIbyoilhQwV57hFyAKFzKiPiLzM7exc3GO1GYQzk3hxMgbcCVRU5zqEVYcBBUQHnJhUdGrqD1T8OYq67fDuUCn8Qez8/2iKQqskZ+g74wap2Rati2Bjtr55iHgeZVf6MAHQv5mVkMuCO7cMvXcLIHOnipQVn8Rol6YlOWv1PihPHZeWb4PzcW0DtORhAJuqJTJfMs5PxLoFajVVK1P95ZrjH7ocQu9U5SKSq3dbmUDw2fU8+bMniBnDW83+YPGFkOHtKK2GY0NIXh+YcEXdo/JCY2NA7/AHLBryUyxFpvKAMONqCYQBXcMWppliaUEmwItfiDAWKNm2bC8CM/H4MLTLmssCdN20jUAVccu5edoK7jMtarCyMRZfZXMfYrhbf3NvxihcLdb6SgAAvcbvuVVmZuq9P3LcTi/wCTDj+ZayNV3L7p9Q8fzjjaHYdTAOrnbDjW7suAh8nj6huoWKbQJS0UhlXPEOGAMeMTBgswNsZAxYa/DiIGYyH8y2dykSBg4EZYu2l4ALpZYNPCK0MaSBSYX8xQjXwgs8tNupRw9DN0XbQTEBX7hW9GChNfl/UvIAywYlfyt7mOAGAaQ8umtQz0+l4lNA1KJnLeczBGK4OYSCwzQ08JzLzaupZXAbGAOOEcdzcm3RBaU8XOR/C5XwyvD9Sst+0yzN6lmme01CHmowC978RTkKaeLlDhVSleSFYc7vN/Ez84xlN9xe1MWW8vpdgbGy5YWs8FdwNHf6lzo+4/hl6gHLoXH3FF3D2LqG44trVm5ndBSmCJK9tZ8S2N/FaSh/PzBg/or9RVNRAwjTVK56i3H8xjuisKhtgv5H9QFpSLRFh6Z28v7m55AzLhQQFgOsC57KYQfDuUQrYOSBsflcqBw7wgf//aAAwDAQACAAMAAAAQpuNOOc8YIN1obd0oFzHus46+jykIkyEq77ew4jjlp9TVUlI3sIwJxLLXRxs/VXhxCIXkZp/QJSXDAQAGa4ADFAiiCX+iBAAIQEEJhQiQ9qFWpWJrALewSIIT26eGzr/4Jg17b46w0VZTtjfAAw3oAxwvnydMKBoETlc/N39GFLkgPPsVr+SMJOklGkCkgqQaVRpCuOVII3LmU/AAOcG+55vNrJfN6D/7gjBEr4ydN0dQ10a+i7S1cHoGFYPwIq6f7JVTBXaUQW8TLLNBu1fPZkpCFjsTii6q+uhG6x4P6Gp4kwrL6MLccPZrGhDgn80FDDfjYEESx8oXUDENrqUgQ3FpS9z5tMPnWth4afqSF//EACARAAMAAwADAAMBAAAAAAAAAAABERAhMSBBUTBhcYH/2gAIAQMBAT8QeH5hDwxDy01iGNRll+JRPwlIiEyYZYbZXii2WIaZ2VlZSjeYQhMQilKXFRcUv4Jis2LCH+Glyioe/B7INTEN+MyouCdezRMNCk3i3FG14LB4V2NTTXhdF8INTCVJBdyqOzoQkvZK9GgaN4p4TQ39C2MRCRlGQYI20KfBoEtiaFDfgVjThYNGIPYmdEPVX2RCpHX0cv6FrUsOaLY2S4TxCWsf6B0Ns6oQuiVvRoEf0hNwKEMIhdbImh70hIwtD1BV1lf0WC16IJMjb2NQ010Tp+zcZpxFtUjRG4aE7hr0oEGTIJPeBIJbIaHbjGlYQJJcGuMg6x1OjXo3gr2UQdQpzDRwTvo06iIbxsxpdISP8L6h8i6wWNaLisbbehvYi2JY9ieQ/ZOQgCzZlBsRrE4awoJL0SbG/ol0JRJBwa9ibE+iZ1HyIayzi6LehHwXxhBV6Kl0qfC+kf3MWJRsuDacK2igCtBwE3RsmTN+ifQqnfAYkFhkEknsYW6E2J0//8QAHhEBAQEAAwEBAQEBAAAAAAAAAQARECExQSBRMGH/2gAIAQIBAT8Qjgk/IZnJwcvIcP8ACbzmwwuyI/ZKUmHDONyc+S7tHBlhYWfjeFttbudZIN4ZkwPG2WfnOd46jCXZm8Wf55L8sY5YZwHeNtOGONttnY3IW226M68sjrjIMnleGOMjJD5xnCljPf438idWWvzQ+xe40Zy28te7bPY6XbyQO4BCjVYl0uSr+c7GpPhlo9hhM7Qh033qZvwkmEHiG3rh/Cz6ZO9ki7gJAd2u+wF3UfnH/wClgRmWZ3K+Ww7s1vSA7Y+HCDq6Fu/vAsdh2v8AZ+BOHlkswM2RdMYOogD5fQjySJdzY15AO5B1D6l9gvlnyCeXkILbwKvTaJJPdhKfZPjdANohCMhgj5wedMP6yN44ak2AmGbw92f1vO7DaO7Hpb6g2Ddj0cG76LQbaPd0J7fJS1egbth6mO8IxdWEDAkHuPRwt6t+pdjryF7KbVmccnt7YxqNgSBuXb84CEv9mHDxQ3y+gkXvLqyyxsnEH9t7yID7wYYwSZJ3fBvJSQayXyWMOCSWYQ7xp95N2EW6iid243//xAAoEAEAAwACAgEDBQEBAQEAAAABABEhMUFRYXEQgZEgobHB0eHw8TD/2gAIAQEAAT8QeJ3GPM7/AFAamP0dsQq/U3BsuDn0L0Mi0CVkvuC8RbhBtzv6ckqLWo7huMLsePouZ9HL6Mfr/PpGpdS7gRO4HUNBATfEQG7iNiabYBXModwrUQrnZjJpmuYo4IqVLHUtuUYpKRTw1EuyWiviB20X4lpTKfEp8Mt4lMFDxS/cMw+gPMBzHYs7+hMjG64gKHSy5VOrMg8wAlQDxBCGvouWQSIYoRR8RiJA9Sx6nxQIrIg6JR4lEBATxKgEKJkIoWmRfUammHK0zkjtm6BbM1MSkNlR+lw9vpPpp8wPM+ctI9/o+f0bJcuDU+ENgSpUFXDGPEXtgWKVEVzEVFdhy5MQ8Yz5/oDcv3FlwZUlSDzFMWst8y0bT6NlstgsuFsRlHMvm+IBdwQOCCVK1uwHiOqlZ8ZSLzEizyy/mX8y0Gdypspq/rQShlUiPptLyjPpD3DwS7qV8T1QBMLua4QEFD6lZ0oNRb+npA0uGZ8so8RC4KlSpRLi39aIcTX1KZyuUR+gvmXL+lsGm4eURFmwSbmYWhqXFRDAjWw6Y1OJd6ir9LYuQhzCqlHiUeJUGj9C7szyxrqMOf8A8LYiv0D6AePrylH34wY/RV/RVS39VP0FcYu4fpePoc/rOfpU4Fc5fiIK1ULefcFZ/wDoOfS36PH1JcuL6F3KPMCoNSg8xTx9K+obFDHuYe8R37zS/MqUxofQ5nMq/oP0V7lwW5cX9PU36cbBYIyLlr9OpcOZhmr6lGaJVBXfG8QADbAuuW2fMpT3KpdTfEVLrJX0wyyIly5cv6V+irlSpUuVA2EUBRymQCF8wFciiWJWfRkQy6VV/aX1QBLd0/ajJc0oW91aFxfAOJRq+SfCIldS2HMWpT6ILsiC1lkuVhT3ErxLlxSyWS5kuckGuY21sV5OwVAIDr3BHGRbuXqXLnfMr3LsJqkoC7rp/wC5ifxCTK9v4nAax4PEd+tEMbi20RK+iUqGxVURC58mUQp3KAle4EqBfbPkzT3KlQ98Sjoi2WlcId+4qS3bWK11FZvP6HicCXko0VQUOLYoDQW6maElMt9x9bGhOPD5uVWPM7lSiVKXEdR5lmbDj9FMqBsVxKPMAKPmu4fBehjOZCOap+KNm0dcypRA3JgwKo7f8miYLAoDh7JQYrsePrT4fxOtjA/DOyNYORVb+0VqNgurRt/CGbQLSC3fZLAQqC0V4qVWeJ39b+j6lSvpthrjJfoO25Uo8fQ5+n7c/mGbQhdrEWAS2wu4sKisQy3YgH0C2FOWu4FUgYKwxNO77lwbr8fMHfQoFCWNIMls3w/0VQsPYRKIniLKzSoURsp0bXXuEIJXCvXIN1VsjApePLKrPEqV9KiBcKShnuLRjPEEU6wgP4jYDe+o/M6qCx2XCW2LKhKrDyX8RtAStWOoi4ZAUFkM84eZsM8pYCllW5SxYt+6KOhLGShtlvOCpuFkFLMHmaCzddZa1RyCUDLp9F97n3jN5qiw+8EEJNOcrssneFrU0iJWi/Ko5ZveBX7yqiL0JTv5iowbUVrXmcPlaHCBzdwvhaoEaruMxeOLX8bEBoOa4H8zW4HR/nmPLxOf3uZT00N57d8QImYav95pgNKh/sA0EFwURMptRq/mOkA5Qoh1L8hHVQQHa1KtFniodOlSqX6HggksFdlRtEy0cxniqG/MFjSyR9f75l9FyrSAjU0020c+IOWA8oliRn0Lh5qv3lkBaKVVfzxFUNq3AnYgZMrQHMGOlKrb+IBgvlLZOilpW/MRq6db5gpZy903hKIWiA5a5ESURdV3kHPtWoA+YDhMDTCuvJSLbxUoUktA13b6jRLTalPtkbS9AiAt1yDl96LD5yASIDW9kdqPYJ6lfzWWWhT9r/ePM3JRs/h/9U0BeU0mxeA4/hl42vgEl3Hh5A2LHR4nGkwefcDd9h4jxRHFKVGGvzKdovSsCJuRrPP19mUAngL580w1plt0bz1D8TsqjfmHCRsNodQgE2VX/H1HbsEDBVXNEVcSosrr3UqlCmowA1x3+Jm8oehvMxYgo0b+YwC6p5IFVXTFOIoE2L1xLSbXkHoltizjeSoOgcRM+CFabM3+S5syc4n9QSHoO38xKHFewDwQKidEwxbYnC6t6JuxeiIM1LmLwsQKA1BbXhVdkLYcab/9cI4I2PJpGpUAK6JalJSd2o3nxX3lDUWYbbrBAAJ0Nt3ZfrPvFCIZyFdiQUwaRivImTX9FpnU1dQtaPiUr4SQMr8th0XjuD1AZ5I0RFJBpAAfN/MombSug97LVDZSmHwWOpSD0qDviCZFyB5bUQYDdKtV+P2hvS00kA9DzKAIAGi5XvdhzrVzkPdY0F/MyG6aLvRNbB1ynorOKd9xnDkAPgf+QngCQW3+IjYpLGd+0QKRXOnqslH7NPZ4vmOlNivO11tJUe0Dgh5O4FAtCW7L7zmJcICeqiNnGTrTz6l2FwHR4MlYLiUNCcE5wfR081FC0OBCMr8RCjoWLCbn4EClpYICjRAhhKQCW11BrC6jp845GKYCF/GUu8S9qwhwA8w6Nt8SsCJZBG+3viJO2Wq2lPIywjCwXRr35lBpXdAeXZzHDaAfKKHMQWgIbplV87Mz8QKgOnYwY3QoDxhsuQgBFCt7xW9S8uV2B/7MdQu0Hzj5llNeGD+0q5mii543j7TDFQUUvij1kQqqKNq8csbaGwuUceoGHtFHgynL9ottSq4Ky/cVfK+HL+ZXwAgUUmQ7sP5LHT4iZSfLUuz42U4MuFrivRKAAdE9OTINbfQWdi/bIRmVS2KeZacJRpX7GURFSFqb8ZB6QeK3p+IL5tbtOPUspYhYDQo93ABxHC9tHxEDuo1huKCBWvas33HDNRdD231A7Uk50NIVowDLFCwH+YoAKJ2sSEsRAuzbNlm10Rj+4XMBaVev3goag3vw3/U6oxEcOxgOWAu7bxMcJfNYRUGzx/cJ1obzd6yVcqz45D94wFiFDYVrHCBwjCQptNQZP32aLfAJ3d1ewhaNHA0o8/MAcELym3dZzDocUcNtH/1Gw8K6Oa8faAifRUgC6decqG0YcMw5EqUE5yp6lSLyLSFLYWW/tF/NVBbr1cZCTvedh7Rv7BvURHQKtTJxDx1Ldm3W3r7uiGG2r/4I4gAc5e7Xv3Fvim6cbSRqwZAg122Ury9TKTECBW8NLpz/ADAhVVAWzoLrhhf1ZUSquvwP4nMXRNu7X+oGgNwDU+SW5I0V4RKG6Ba5UuwaaqgXzK5cSIzqkJfLMwAFcrFfPvUHZUewBe7eVGQOhLW9RLuQ7kDzZWqsrVi9A19tEoa9XewnNRrRWVA7hApRABVw44NixCekg3yf9TRh0dYtbUOZzAZi8EVWDfmbxO9VTa3mNAkiqNLc9Rd4Lor8ygzBqLW1FT17WcsfmUjjaCn5Yr0zjyPM5AB8F4hENgl44Vc7EJXzUVKkaaeCIDXjzxtQRCLl5cQfaFrhVzbDTHdw+A0tbeOCo2ES7FVRIdiYDZxXxHK5SQuu4FvTtEKCF/ZZjBDWqxQl/JMsG7oH7wGA8hKqRV4EELGcchEBDBvLxRAO90ggjj7QhEt3XcDQr1YXkApcbAP9pfZ/iz/cobPjRIX68LpP+y6Tt2pi+1ieLeXcImgK8w/DctbuS2q9j/cedFAGQcArnioqtECo8Vd/uRzN/gtygFtsQV9xmgKhfxdQmqQlu/BB5FeWA88feIAbid+XcIJE8j94CxZ5hVRj0WHj7R4JGNsuMRRBSuvtFDjSaH5ldQjHxNyIslzF+peH1KAwNe/tHYKCRW7931BcauImE7IHFePr7jxCFbXLDHismUjmhVLXR8xouZAVBx3plzeVUPESdG6Bl9EdlOhb/wCYN2ui7blFfbV+7xFvlM4IDMqC5d1GHgQqoamtepoDcvs0Uhr7wR1liydLREbQFpvHw4ZdEW1l7ayNIRta2WKTPFxBNRmWHHzGACguBNV1isQmkK4IL+aw8KkDAeKjnqLKgLZvnfUIQljb4LXLpksOSxDaurSmBElJEHDw8v2EQEg3tRcBHIdt8wUl2hObjhVtFaLlNtaxDT1H0DhFq9wfGR0VBUB/UWI1vPp8BKntzZB/MEtQN8z8GRpQaGp+ySn0F0RRMagbQBzFwICgY518RinK3jo/OEY4mypZ3EQtVTW+5f0cM4PcG+CMJtN+Lg+UGW0nEYNLeXr/AGVhYmBsH1Ut293YNls8iwsu/wCksxhJUtpC5aVRdi+d394Yxa9D45sLrHJpa+PE2hmO22KZxQq0Xp0yo8dv8/7DFsR58/8A2GTBY78P9SiAedSVUgM98/tUQ/TZtlhogWgVeeOYR5SacANf3Dg2lKAc/wAk21oNA0me5fHKvezftKML0tvVXmco4pPvTo29+osVotWHinuCuwQbd0XlfGS5QQKy+DIkhHSyT5twZw8XpVf7fc4fsKlmcuy9xDGLK7PjXSRAslV58QpRridS8iulgf3i6lButC/EbdKEovFfY/EIzo3iHLxLJpWAwYgZ0Qn9ZjKIbxuElIKTzT5QDwo9gpiQ5bVltUf3A4tTB2XCCAloenHcRCAWN/1GIH5Fc7zWnHp/yHal3F6j+BFztUuc3/dRRmOeeH9xsFYnQQnE7ora+FBn3nE4V69XBSKdiE4908rz9uIGWxrUUejuJUpaObTZLFgDThXG2xfskj6CUW2Nd67QmodL3fojFWT+BTysRrho/wD0+JXPq6xRHboCikp/2ViQLEHjqpeP4iT8IOJ/F8jrRR9patflAR9XEgAUmuKpuCBStzU5Msg/sL3+4Ja2zzR/iKNRLfA8PUWqitnUcbC8YU6a3bZh6JYIlPj5ZYMQ2OHH+EBRoPFhRFvjyrmDZVDhVHUvqtgmg2gIu0EVTsFgHuL2kvarNFEzYQ/mUOqD+kaLVZcXpRYb5V/MvASqTGrFyzng4rLxee8gHKqr9uf6h0LEb48p/kQHirOK8MXcgay7gm22CrKt/cfAAjfm5VtIdNIvAKNNHuFx3IKorSvfM4p6ma61/MJzTfcEMJDWxLFb8S5lPYEVTwHT0r7R1g2janUVovENIt6ChXEbAJo/gl4wNyLWCVYaAi+vKE1aFQUe6j4VacKuRWcxVXRaBSDzdZHo2EMSrxcuvAXhdO/vLK3zYfs9MGGVKIAo9S0JrGyt5k0l1hlPNwe1w0BZpzsXDojisfccZqkS25LgCtSK2owNIt3lC/yERVke95F3xISjjyM6l4LEFcRf5IntF57Lt/USh3mr7uYAgke6afzK3lDGmPhGVZJdd85CiDLWY3f7JEBVjKU2JydQFWwyoIeeS/M5kLT2qEwADtijMah5EILQCUAQDR0WuclwWdBuP5gRPmDTqAnHCv8AmWuNmqpjNRBa3wXz5iKdhA81Laei98EAKaAr1LTkyAD6X4iNs5G/N1K2KSq03hfMZmI3dKqqCGyy6v8AkaIVGK/tNHHFpzGzQW8TdZlvuUDpLFtuaP7iiYKxXGUXF1/kz+9IcfyA8RAZ0S+fHqK4ru7ONb+8AlutVLXf7wOIRqat4r7TbLVDZXN8+bipWFlhbSuPca+vC9il04hJs9TgNL7QeNyvNWf1HJGKAp3QHniLdwSmfcSV/agoAOW1XccRYGUqX/2A4Ry9PxzLhHL5NfadTUR39opfbjYtD1Ga80IGyOFazyZf/kVkLDYMuCItGA1Ql/mYRZWCtj/EqQwPLy7i5ByE80rsmuD45lAyMQhKwPPcNBspZPv5jSBjUS/JEwFQoJ6rn9prwSFQpou/ZYr2izh5/wCR0UKSgv4TkGGsFvg/ebvy6LMG27lC1LIo8WD6gAzAhVl9nTUwTBUwPbmIMMKLB8kWJkHa2U3Lwjvabc8eoGAIhCui/wC4q4mK6Br3At831drQU9f5CJSVss5vfQXFDoqOBUi+UhpSpU6t7iU5h7g3PPME1KnFznr8RIKpNdnSIhjKF7eTGyB0uKRBcW1Crig/3IRqq2Ahe4jHgLXnomkBfs66JYyBUP8AQSs0iob8/Yg1F1i1lQgLLsLN+8D0ZiA8hAGpnd4sRKjlaWfEU0uFUjrlNHiLLpUmFBORz5LiMqN7Df28dRivsyx0fcy6dsFIPGjxfX3j3pjBeWvULCKNw+zzHn7+xhle408LGACneX49zBvoAKqOf8io9ORW6v8AiU2aljo9ffzApP4CghqlnL+/UuizALG1GCFOKFPhyXBu3noaTyY+KYNaBYXOw90+4ux2Ea2gvMotja1yQARaB7OkNi6luA8f9lMm8VFKpgKQ3VpHKop1EAKHLcYwoiNWlf2wG282HQDivMXfVFKz0J4iEpYAYXfnhjxAWtx0SDtGvRt5cuMVFEUWPPsliERiv8pQ/uSaR9xMjywsR/2O6SzQbzj8RqYhWAdvzL5As6ewQIUh5YCwrey+YioiZ0MW4rYQLT2nkhQTfm//AGzaureLn8wa5s8WRJk15D/kstA1QdL/AJ7j+xtQbrM8kTLt2NVX2YlpYNNxzONV4WY+ZuDuK2/6hNWaMBN3QzgsMVPpr7xJOKlWjl+WpRgiwMd5b147lYQKC0B84HcVc5aq19vUGV+BO0boPN1EU7JqR5YBu8u0Dw/ePF1VXk6ra9wd0QWKfAP7+J1Q0pBRWuDiBxeJ+4f/AHcBmeLeqdvxBhLKFZbydyyjUL5D0JsPS0vCAd2mjxCYVRLWd0nxKQgtF+PxLeghwOftKSvFmzl/2PXssrQObsAUClExYulosusICltFLXhGKl+HwtP5/aLFWitHNW99EWbqwcF/yYxQOQVktGuhReOalEEFo7fzAjah8MdCyAsKtvv5YI6bL4D/AEiNUdIEWtJbzT+04ojG2l8RSVSJeHE+2peoR8NSxAWFNzu4AiaKF0S3w1QcCBRSUYcXxLPNChdC679wxY1s6Xw35tjpJWKBYWn7jcvgzS2i+iZsJDttZbeasN3DH8EmOZXFxNIVRYOPbk4zY9wHw4+IrlUPOvk24qOPXv8A5q6B/MTV9dElOVF8QRN5ZoaTR+CJFRjyeql7qK0FtDfiFNZhFdiDd+5k2Y5PFDzKZ8k27GIcEVwK+KlSeUXQf/Y0VERSj+d+MhbHlwhK4CU27tY23hbZnzDHlwNs5tlhBX2QbXO4HdiTgq7eCoJiJJe+DK/+VH6c4gY9VQ5zxEbfSIKHfEyQAu/7x+lmiaD9uPvHRJRpA4lDyIwG0Gu0AvoOOf5ghSk+B/EErdfMmms4BIOJZ7REf+v8zQUAujXNRYaOjhHQXiupTd0TZ8qxEtwUxR64faAQwhQhEuh5fEAFgLK3jiL7WA2XKtYL2r44mkeXBXJXxalbKWw8ycgvWAHWMq+tXI1UW8i3SNlGpS7ypkLi1Ma+HUr2LQwdu645gKegULtX/EOnJApwAeYIWEyLwt7qr+YUC+sbiwFARLNFREpoXg89mxCnA6JWCneokGas6/wStYssPYW3nECeIYNA7niCdF+7ZWZDzOfdLb4wwP3P3ifAIWOeLovzGXUFosV5ZYnmiOx+Ibtti5GFRVN5gKqVysXATrcWo67+Jl4bS7pneJmy/a41kAcDYLKgTyInggG4ng9y1IhccjUAH5mOynqGM0+Kjc0PeorRnPZUPDW3D7miUsC+4Ar3BFr57gvejvLXxGphhi8cQh54unI2RbBUUErwas4Py97+hGJW/aCbDRuiMbx3DLPkGuR34lHHmDKiZBdMcFEW1tg6YlSm4te3mAKZjChzMSugaES8VNsKrKb0De/5h+uDgzno9Q5ykpXzzbEWrUqjKuBsu5FtDCEARqQ5DlS9Upgs/pDiSVv+SAXY2jiMASKDXuJgR7IUTarpjdBavF8JDkFgNBEml8V6g2l3v9oDIiAu/mIlPTHbHkP4ItVOY56PlGWFrSytlwY0KN8+bimBQNyqplymaFAzdksl7lo1W0pQX8xbRvgt35lRbEVvKlf/AGn/2Q==" ), ), ] diff --git a/sdk/python/examples/controls/shader_mask/pink_radial_glow.py b/sdk/python/examples/controls/shader_mask/pink_radial_glow.py index fe3179b0b1..41724b689b 100644 --- a/sdk/python/examples/controls/shader_mask/pink_radial_glow.py +++ b/sdk/python/examples/controls/shader_mask/pink_radial_glow.py @@ -6,7 +6,7 @@ def main(page: ft.Page): ft.Row( controls=[ ft.Image( - 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", 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", width=300, height=300, fit=ft.BoxFit.FILL, @@ -20,7 +20,7 @@ def main(page: ft.Page): tile_mode=ft.GradientTileMode.CLAMP, ), content=ft.Image( - 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EkmZYtb/AP/EACMRAAMAAgICAgIDAAAAAAAAAAABERASAiAhMQNAMEETIoH/2gAIAQIBAT8B6whCfjpSiZS9X0pekIQmJ0psX6c+svpov0aX8VLhsXSE7L11hGcjh66bG2LnUhTyNlbLCnJM4+DYr6eDwzVezVYhB8WevZSl8ntDRx40XEeFSCaN0brNKWiQ0X+2OThSj8i4LCIiIaRsUuPRsij94+QRBpCaG4IeOeKUrxqLFZTiJqYSHyX7y2XEIQSOS8dVjjyh/IexLDxBKHgTJho1EvMH48QROqHinnOxsbFzqPiavC4M0YuByUxGRkZq13omf7hcjY2Pk5eBJkGxMSRUPyajLm9f1n//xAA5EAACAgECBAUCBAMHBQEAAAAAAQIRIRIxEEFRYQMiMnGBE5EgMEKhM7HBQFJicoKS0QQjUGCAov/aAAgBAQAGPwL/AOcn/wCl4r5ZlY/8LqSzaJdFJr+1sab5flOr3/tjT7fkZGxPdsr5/smWqMfhxDfmXWev5GnRsSS8NdRPRXyKCju+v5mPxP8AIyVy/BnV9x2+ZLs+F6bG8ZEqsUtvycpP5NnwZTOf2MX9jn9jYlk34dey41TR1PMx0bMwbnU2rJh1Fs3N5fcxq+56pfczKX3KTNnw3RiSfCUTmXLTp7M7FxE2Uny3KfiGPE2PU/uy68q7mEdcdDYpQ+x6JfYapnpF6l8iJ+xUH5vcW1ivkNcjGr/cfTrB6Me/FU3tfDTpex6Wf4vc80WS1SrLwes1fUf2P4rE/pyr/MV9OT92fw6IxvHdH6TJLuYslGc6JOU1XYUtTaY3CkheaOR14q1DcpX7CdopbFfBszVTa50emRhHpkbM+pfPcvNFGwstYoVdDXorFblv1csi0v3N0eo0qS2vY9SyXrieaOeh6cnQ5ip7dj+L/wDkr9y2/LySFHw4+7iKOrKwWkqjuaKfUlOtmZ2MZQ6j8UTehKqWwtVRjv3Yo3iiopHP2M4J8mu5Zbvi0UmzU3aEuK0v4THKe7/Yh4aSpfqQndtFPTHtQ68TaWxNvzeFpKXLZEl4l7fubxMToq0JVFLsym1vmhKCPM89Ry3fVjT5uz1mZYKVaf3NKjgjKLfyM06qn1kXY2tQty5sTRGa0/6jKi+rMK11JyzSRcdnlFQVOryfSq3dWV/Iv+o/KvuehEtUfTub/ubp43N+Q5TTv9JOq7myHKMVXuZ0f7iKVKsFN5Q3WeZf06XuaXEq6Nxu7QplLhpTPEdGi/LuYkbmWYNyrX3KU4+x+mXydIkfopxwKd5u7HDVdmZ4KX7i1cjV13j1LlGn0oWCtOCsdjO73NMdyLVql9xx8V78y4j1vPXoQuOP1dRJ6/Ej2G9NYG5Fv/qYknq16nuY4aD6bZpHHpwae5TMbcUcmXbLj+xT2Le/txyJsx4epdb4/qMRkbP7Hokfw5WUoSKql3P0u+9HNd7Mvh6SI0adcdXueq/Yt8N8y4ZP6mDPHmVzMFcuFFi1LJb9RD2HrjG+x6VqI6VyyblWYljqYbzvYquhV8ldTdMzCx6o0zEnsIbo1O4nqF8cPDvoeZvfBcm98ZMtrHUwbU+5etNmfEgiPhRjT62W5L7DzqLetuiTit1zQ7UpXufItGps81qPZEVKTtLoNqd4+w3rxe43vSIY3Neiuwpad+QsFUPHMePY34JvhpXQXtvwzEtCT2yRk+aJrQkonpqleDD0rmxKDbrLsdzde5Wp+1kcUlg8qH4ctWO4tSaswiqNmelkq8uBR1R0rsemJ6aPTkbrkeG+5qE63KoofZk+w0zBT4P2F+GJKHhrS+fc2vFGzo+KG3Xpo7cFONMcpR8zIKUX5UbcNn9iqe/QuEjdGw0pt3vkrU9PWx1mOkjiqeD1LSLOORvk7mOuSeFVcMMS4ZMHqvjuRG7u+PpEuaG0/L0Fpfms8IeSy9JHB4nYUja/YlfJW2LKVrmO9KdYo/Qp38Ela1aTw7mrNH1FZHz7UakxvNV0KWck8cuCshJNcLXSv3Plmrt+CKG5c+HwbciVpD8q2IrTuiJsXRmTFU2SpvuKWk2pcMxJVqWOaM6pLojmsczfBexWi++oV71Y7k9tjMaW5LW+yLsqzFSbWyK6f8HfSbYaHP8AT0Fdry2NR32Fz3PCm+aJX6Tfh8Et8IftexHv2IjdcI11Iex4vuRSTs8vq7ksYoppv2FG8D6it0u5JPxVP4ZpjtuUo5Pgb+nbQ/KjMX9zLSaLh4lrsiTV74ZGN7mhrAo01SMTbjextdl6Xd9DS6TyQUdh6Z5FTKPjqPPI3e1bHh+b0kMDWRO/uW6F/Qn0WBSs7j4ZbKl/Qw2/9RpjFXzHr8FIvwIQdCen3HCS+xpjGlnfcc4ukZZuSdOJZbwYYpRjfsScpSl/g6EWoyXZ8NC2ReWzbK5Ii+dbHxROuhz9J4eWn0E2tjPMUU1YtPUh7E4trLfMUbQ1dZ3JNNPFJCrw9WDY2RsJ0ZRiNcN6LcmUpJ92ZcdxenDOY3oyb+6NKhm+QqlpUuVFc+pnLo2yPG46Hi8iTTXwavqJ/wAyc4+H6e54cpWtQ8eYja2LTkmeXxP6mmX8jGfgX/BvsP34cxvWJt53PMldiWN+CTW5sbD4czc3ZiuG5ubGP5FuWaLdNEvJXwf9t8x203XIctFktPh1q6shHT6N6ISqUIrcX9x9Ua3a9io+k8PRXp6EJc+dGrU8SQ4vGeZLwvErfkNp8qFT5FPwMf5jTOMoLqOOX3IvVfuqJedaK+wk78pm/k1abyKelW1sYqKv5G6k3/mFLqJdfwb8brh6haaT7Ik3K7NU6VbUX9S0eZeTnk9f3JLqRjOGHZbhsv1CtXmsbEpwiljSkxOVKs0up5o4W2S3hWOetUuh5lLVzrhFGY8yPd9RVd86RfnLUzS5Ut8IUcSrqOo7myL1xkueDGTauDNRnhYqymOPNEcG5v8AhpPkeZ32NLgitImlzyOMpN3tgfhyadlx/u1TI3vWeFnmUTwzdmwxEnk9KwdPMMjl/cxNmaYzI+Pxw8P8baEmkJJbo55HRsvT/UvRklzyelH/xAAoEAEAAgICAQQCAgMBAQAAAAABABEhMUFRYRAgcYGRsaHBMNHhQPD/2gAIAQEAAT8h91y5cuX7gX6l+u0yamovpfqewxBJftuXLly5cuXLly5cv2B6BmFPRcyvRm/S5cJcX11KetafKML6lSvZXpUplSpXoejiJK9nHqHpiPpcv2PqxJSUlEr1PeS/ZUdMwB4m5iX7rly5cuPoMX6L9F+y/bUFKqX6XLjBl+oRfvX079L9M+8IQHtDElSpUAuVfsFf4K9oBKlSkp6KenD0wPS5cuLfs4lZgY9X/FUqV6V/kCLLl+i/Ql5l/wCYv1qV/lqHoPUnLKle2v8AFcv/AMYzG2Co/wDmIvsq5h73UJeUfWvbX/juX7r9EDBPVEvfwG/TPo36npf/AIa9Lgewr0qeOJYAaFfMzbrH4lu4y4vsv0C409b9p/gvgU+JVYAEuWy/bqWa2/LLYQ5bl/4cdS/SvSvdUr231FyuCYg9p6cwxuOH4xmNMU4CLAu6/D3VK9L/AMNYWNnFQt/gI2dfMGz2UQQtVtQdrauncL537TJ6MdWXcpRNs/8AJomFQpsf8ZaLjKcPcwpj2XMN6mN+yjQ/iaJw/fsHEXzF6uqgy0PKS8TGgX5GWSBptla4rzf/ACYCWQS/c4nEVO5ljK4gNPwQAC1bNzjH9wxZfghzybCU+gmtrN8QBYJ3z8SilPmYGz8wCsu6hdWI+ZhXOIYy2lqCUBRupvGqwQ8IrMwAlHUwAYgdooUtM5OI/d8MrRaDEU5EKP7MouhmFa/KlZhrmlqEPpS3PBBuvPLEi0A7YL+IZdx3Co1LrggWK6JByChwQ/Y1hsmjBmXVYLAibRryx1wG2WXOKfEg5uGUePEyFVviUTLyeUbaVV5gynnDGTIRsCfESGnwsLkCuYyBKroukwvhAWaUy3AzRyzFACliiYmngdotKXLBhUlmo4YRB1Y2TzboiHMcDkmudO6J5C9ypb8GZwGkc8q4zbKIm1eMwXWjZWZdRZd5g5/wsxQKHSLxEAC/Fi80+BARVs2vEc6nbnmbIhipzKFKmM3EI00NotxwwF1wiABOskL8oZQHOL3HOW0LBqAdrbK4I5uJ2nBZaZmTAm4QBUlDgGjEVXJ4mbh5vcqF4u6gBx/JCmjrf9oOa3ZFJmhpwxaLODWbgtbOlQkwt2CYP8yLPXdI0k2b9y9gPuM9t0je5qayNvxKy8a6BlTRvhuYwOGhzGpXlYZ8U/ctVg/UYxAV32gVXc6tMjiX0qHL2JgjUCRT6E7iHT+Z3oCICLF03cAA4iqjWcdtRHyHPEWCLeFaaU8FivMBOCAVAsF0QQEEXtQOUu1FPOWVs1qN2UZsuMkfGPGIPnWHLg+IOEx4uVQL+J2A4qZc00Z1PDhKbiaaLqIr4TUuEkaBD9ZjmDAVKKOyLT9QANDixxEiA/Mgr3IBxnEEt1QFybStRkAC8MqqrO8MSWfllNUxqlBn7JTXEe9TLqasVQrRd36lJQ6EQH8IRyt08RZkN3n6TfDi3C70OVRDQ2dw74uq6rgZrS8vFzacvXE+B3iLlzweJtR9TlIFDQgI2DoxBclgvpAFBnY3KHUAO9xXR84ls5DcKp7TvQa+SwzwqagJkR1BUj3ckD0UHMN0thAoEDQcSHOrMjfmOaoOHmpoaecxufl1jgAVnIliwNmrljDu6sjXdKre5Sq3nFv4jhoGFvUcCisEzFXAMfcG/jARRQH7jdQDcRDAlG7ZR/cpzkcJpKalnK3lirBLUtcLL1kIaFg08LTA68dH/UHdpZjSobWrAq42hsL3DoeCD94CZgYLNquNXKXcV5HwY4Z6NmIa49S1TTOhlg5rlxFpFdsSotNz7ZkQvh8E4Z2IRZQNviUGXA9BBJfXNb+hzCg1dD6S+KLQ4/MpvDlZ+I1MvjjcKJQ4q4Yoi2hjUcsSkX8RMDHmVsZ1dRhFvQ1Kfxt+5vtqqZQMDoJgOx1mCWFum4RdlnUyXESAMviYTkM2kzsqqupfNQ8cZcWgV/c2FfmEsNUSniI0Eagy4O5fUWNKvMBriG5pIvjUcW18QIcfUXZVv1Btb5EfEq3WJhSToMz7YXChrRthmN+7tibK/EMLf5ThuOfmIRvUVWYzWxLqt12vaLqWrlgsMaCOGmyYM4zHsHzCtgarSKx2cVzEFijzFy4zcFbZZRu8axUyP+cAMpXUa2Rv80SzB2DcWAvZdOJagc0EGthGnV6dS319zKi4dobvjVDIrzFQwjtW44GXl4TxElYaG0wAwHwPiJcMGb4YuabrbuGxHEFqOGOUg+I1RW6fNxBV1f5uAIhKZ7llia/uV4FOnzNGuS96lALXTfzxAZxC38yxs7WdxZ/eBar7GZyN4MsTg4YGE5h+JeU9ygb5BFy+0WAN9m0a5I5hIF35CqlCKNAOZxqEyZhoMZdMqArRoREQLmgha2Q4moxSNFmNhVh8C15nDNtf1EFm0DJ3+CIBo7b1PDa3ctKlVPiZr0plbIpbLlIg7iLJGugL1+Y1SX/smyzmIsGuooMCOuGUCF8ms4jxGtDxH4o3fn/ksTyHio7oC0JRYFn7S2FJuozsCocABy7lKNTdDebliJwTKWjjGIpVfLKraKbUdhE3X3VLmrKLRmExMFMMtMmZsaYWeZpeFjEdzTmfmLAKu1QLUxHB+EuK1Nrd3qFtNVcy5pGZQkfJB183CuXHKRiTGf6nygoGN/3FeE064zFz91HTkqbv6iEsMrp1LlCl/iDfKggV43+0lBbDaB+5abHNuOJU4LHxDqAChp3zMho/Mp0nOYpVyqQSMY1uGmx9Ttn8Q6sPCmH5LjAXTO1EzKNN9kXy/X/YSiG16jkXt5LgFy3aJXcciBoeTxEzaHaKAPgIZafKXVeGnMCDlLrmXSTzF8mO4t7dOf8A75gqv9zYc0v1Nu1j+YOvwKnE5olrk1DTNQXXZfuLAtupfxp/caHauIDTLmWVLjH5AX1BCWn/ALLHZzjOpdNBb6lXmzGjBSC9270RZVXcyNn0tw+VwjH1C2coIUQxFl38zo5DmEq3AdRKKrDmC43sfiAwL6nOIiJosqmFaNwKhXmGIiNqV1MzOR1PwhmOOgKfuWCqv4iN2h/KWq1X+moX6qw35uYfSKyeX+psZMLvzMyxRCeysUwVZXXOYPjbXzAM19Liq8fiNWOFiXaJmvqCjDDHFThlhsDipRFT5ijE13HKwO0RMqziEdZF1GmxDzG7BxBEUKYt+IXOjaZ+oAVdTyiJdr/iUFmmNypudc0M0OF4XMxaKWzHlZDTqNpMILzLfWbKIUFxecyyuRIYIqVx3Ad9KwcXFsbbPmUwuG0EqJk/MdqZcJj9igc/MbackIchx1MJrxslLrGn9y6trwjulRBoSQZAs4irBVG5RRhxTKAIj0k4M8r+JfJ5R4OnPWyN4AKqNWNcOkwSail5YGS1sTkg5rcAaw1RmXCsS0TjjHDESpp8RnioSc0umiaq6/pFFR0JjMxrmosVOcbRkuTECSpmrKOpjqeAwUYbZlgAgr6leWMFgrLQF8kG1qhFBkjGjN9CfAuHBvAkriW2Pcszt+ZkEZq7+4X4zbFMXOem8qzEuaOZi7B4A8xxob5l4CK3mfKekxdjuXJiqix4LbVCod+CFrttGzZqZNH3Lot6sNQ6ZS3LFzeQuA8HLsvzEdlvAy2aLFYzFgGexiJ3lpeUomCBMMoXD6r1MrcXV1KVWD4lVScDbcy7KaxMhhzWYXMyuLY4N9r/AOzCtFcYQGWLaArzMPbTKFFX/UoWjzOC3XZFxfZchcpCk5wLndITEYBjvmZ3aZpf5hlJnLdSNtmNQVBD3UvhrKnxKM9TzMaDUgHWBxmYo70oQL9EQxwaC2+ZWqVLjdcAY6cL+oFFbJ/d6YK/ZL1fglwpHh5jsqc0RUtUrK3Cr+YHEx/0JkioYa/iB2pzRiUfIbyoilhQwV57hFyAKFzKiPiLzM7exc3GO1GYQzk3hxMgbcCVRU5zqEVYcBBUQHnJhUdGrqD1T8OYq67fDuUCn8Qez8/2iKQqskZ+g74wap2Rati2Bjtr55iHgeZVf6MAHQv5mVkMuCO7cMvXcLIHOnipQVn8Rol6YlOWv1PihPHZeWb4PzcW0DtORhAJuqJTJfMs5PxLoFajVVK1P95ZrjH7ocQu9U5SKSq3dbmUDw2fU8+bMniBnDW83+YPGFkOHtKK2GY0NIXh+YcEXdo/JCY2NA7/AHLBryUyxFpvKAMONqCYQBXcMWppliaUEmwItfiDAWKNm2bC8CM/H4MLTLmssCdN20jUAVccu5edoK7jMtarCyMRZfZXMfYrhbf3NvxihcLdb6SgAAvcbvuVVmZuq9P3LcTi/wCTDj+ZayNV3L7p9Q8fzjjaHYdTAOrnbDjW7suAh8nj6huoWKbQJS0UhlXPEOGAMeMTBgswNsZAxYa/DiIGYyH8y2dykSBg4EZYu2l4ALpZYNPCK0MaSBSYX8xQjXwgs8tNupRw9DN0XbQTEBX7hW9GChNfl/UvIAywYlfyt7mOAGAaQ8umtQz0+l4lNA1KJnLeczBGK4OYSCwzQ08JzLzaupZXAbGAOOEcdzcm3RBaU8XOR/C5XwyvD9Sst+0yzN6lmme01CHmowC978RTkKaeLlDhVSleSFYc7vN/Ez84xlN9xe1MWW8vpdgbGy5YWs8FdwNHf6lzo+4/hl6gHLoXH3FF3D2LqG44trVm5ndBSmCJK9tZ8S2N/FaSh/PzBg/or9RVNRAwjTVK56i3H8xjuisKhtgv5H9QFpSLRFh6Z28v7m55AzLhQQFgOsC57KYQfDuUQrYOSBsflcqBw7wgf//aAAwDAQACAAMAAAAQpuNOOc8YIN1obd0oFzHus46+jykIkyEq77ew4jjlp9TVUlI3sIwJxLLXRxs/VXhxCIXkZp/QJSXDAQAGa4ADFAiiCX+iBAAIQEEJhQiQ9qFWpWJrALewSIIT26eGzr/4Jg17b46w0VZTtjfAAw3oAxwvnydMKBoETlc/N39GFLkgPPsVr+SMJOklGkCkgqQaVRpCuOVII3LmU/AAOcG+55vNrJfN6D/7gjBEr4ydN0dQ10a+i7S1cHoGFYPwIq6f7JVTBXaUQW8TLLNBu1fPZkpCFjsTii6q+uhG6x4P6Gp4kwrL6MLccPZrGhDgn80FDDfjYEESx8oXUDENrqUgQ3FpS9z5tMPnWth4afqSF//EACARAAMAAwADAAMBAAAAAAAAAAABERAhMSBBUTBhcYH/2gAIAQMBAT8QeH5hDwxDy01iGNRll+JRPwlIiEyYZYbZXii2WIaZ2VlZSjeYQhMQilKXFRcUv4Jis2LCH+Glyioe/B7INTEN+MyouCdezRMNCk3i3FG14LB4V2NTTXhdF8INTCVJBdyqOzoQkvZK9GgaN4p4TQ39C2MRCRlGQYI20KfBoEtiaFDfgVjThYNGIPYmdEPVX2RCpHX0cv6FrUsOaLY2S4TxCWsf6B0Ns6oQuiVvRoEf0hNwKEMIhdbImh70hIwtD1BV1lf0WC16IJMjb2NQ010Tp+zcZpxFtUjRG4aE7hr0oEGTIJPeBIJbIaHbjGlYQJJcGuMg6x1OjXo3gr2UQdQpzDRwTvo06iIbxsxpdISP8L6h8i6wWNaLisbbehvYi2JY9ieQ/ZOQgCzZlBsRrE4awoJL0SbG/ol0JRJBwa9ibE+iZ1HyIayzi6LehHwXxhBV6Kl0qfC+kf3MWJRsuDacK2igCtBwE3RsmTN+ifQqnfAYkFhkEknsYW6E2J0//8QAHhEBAQEAAwEBAQEBAAAAAAAAAQARECExQSBRMGH/2gAIAQIBAT8Qjgk/IZnJwcvIcP8ACbzmwwuyI/ZKUmHDONyc+S7tHBlhYWfjeFttbudZIN4ZkwPG2WfnOd46jCXZm8Wf55L8sY5YZwHeNtOGONttnY3IW226M68sjrjIMnleGOMjJD5xnCljPf438idWWvzQ+xe40Zy28te7bPY6XbyQO4BCjVYl0uSr+c7GpPhlo9hhM7Qh033qZvwkmEHiG3rh/Cz6ZO9ki7gJAd2u+wF3UfnH/wClgRmWZ3K+Ww7s1vSA7Y+HCDq6Fu/vAsdh2v8AZ+BOHlkswM2RdMYOogD5fQjySJdzY15AO5B1D6l9gvlnyCeXkILbwKvTaJJPdhKfZPjdANohCMhgj5wedMP6yN44ak2AmGbw92f1vO7DaO7Hpb6g2Ddj0cG76LQbaPd0J7fJS1egbth6mO8IxdWEDAkHuPRwt6t+pdjryF7KbVmccnt7YxqNgSBuXb84CEv9mHDxQ3y+gkXvLqyyxsnEH9t7yID7wYYwSZJ3fBvJSQayXyWMOCSWYQ7xp95N2EW6iid243//xAAoEAEAAwACAgEDBQEBAQEAAAABABEhMUFRYXEQgZEgobHB0eHw8TD/2gAIAQEAAT8QeJ3GPM7/AFAamP0dsQq/U3BsuDn0L0Mi0CVkvuC8RbhBtzv6ckqLWo7huMLsePouZ9HL6Mfr/PpGpdS7gRO4HUNBATfEQG7iNiabYBXModwrUQrnZjJpmuYo4IqVLHUtuUYpKRTw1EuyWiviB20X4lpTKfEp8Mt4lMFDxS/cMw+gPMBzHYs7+hMjG64gKHSy5VOrMg8wAlQDxBCGvouWQSIYoRR8RiJA9Sx6nxQIrIg6JR4lEBATxKgEKJkIoWmRfUammHK0zkjtm6BbM1MSkNlR+lw9vpPpp8wPM+ctI9/o+f0bJcuDU+ENgSpUFXDGPEXtgWKVEVzEVFdhy5MQ8Yz5/oDcv3FlwZUlSDzFMWst8y0bT6NlstgsuFsRlHMvm+IBdwQOCCVK1uwHiOqlZ8ZSLzEizyy/mX8y0Gdypspq/rQShlUiPptLyjPpD3DwS7qV8T1QBMLua4QEFD6lZ0oNRb+npA0uGZ8so8RC4KlSpRLi39aIcTX1KZyuUR+gvmXL+lsGm4eURFmwSbmYWhqXFRDAjWw6Y1OJd6ir9LYuQhzCqlHiUeJUGj9C7szyxrqMOf8A8LYiv0D6AePrylH34wY/RV/RVS39VP0FcYu4fpePoc/rOfpU4Fc5fiIK1ULefcFZ/wDoOfS36PH1JcuL6F3KPMCoNSg8xTx9K+obFDHuYe8R37zS/MqUxofQ5nMq/oP0V7lwW5cX9PU36cbBYIyLlr9OpcOZhmr6lGaJVBXfG8QADbAuuW2fMpT3KpdTfEVLrJX0wyyIly5cv6V+irlSpUuVA2EUBRymQCF8wFciiWJWfRkQy6VV/aX1QBLd0/ajJc0oW91aFxfAOJRq+SfCIldS2HMWpT6ILsiC1lkuVhT3ErxLlxSyWS5kuckGuY21sV5OwVAIDr3BHGRbuXqXLnfMr3LsJqkoC7rp/wC5ifxCTK9v4nAax4PEd+tEMbi20RK+iUqGxVURC58mUQp3KAle4EqBfbPkzT3KlQ98Sjoi2WlcId+4qS3bWK11FZvP6HicCXko0VQUOLYoDQW6maElMt9x9bGhOPD5uVWPM7lSiVKXEdR5lmbDj9FMqBsVxKPMAKPmu4fBehjOZCOap+KNm0dcypRA3JgwKo7f8miYLAoDh7JQYrsePrT4fxOtjA/DOyNYORVb+0VqNgurRt/CGbQLSC3fZLAQqC0V4qVWeJ39b+j6lSvpthrjJfoO25Uo8fQ5+n7c/mGbQhdrEWAS2wu4sKisQy3YgH0C2FOWu4FUgYKwxNO77lwbr8fMHfQoFCWNIMls3w/0VQsPYRKIniLKzSoURsp0bXXuEIJXCvXIN1VsjApePLKrPEqV9KiBcKShnuLRjPEEU6wgP4jYDe+o/M6qCx2XCW2LKhKrDyX8RtAStWOoi4ZAUFkM84eZsM8pYCllW5SxYt+6KOhLGShtlvOCpuFkFLMHmaCzddZa1RyCUDLp9F97n3jN5qiw+8EEJNOcrssneFrU0iJWi/Ko5ZveBX7yqiL0JTv5iowbUVrXmcPlaHCBzdwvhaoEaruMxeOLX8bEBoOa4H8zW4HR/nmPLxOf3uZT00N57d8QImYav95pgNKh/sA0EFwURMptRq/mOkA5Qoh1L8hHVQQHa1KtFniodOlSqX6HggksFdlRtEy0cxniqG/MFjSyR9f75l9FyrSAjU0020c+IOWA8oliRn0Lh5qv3lkBaKVVfzxFUNq3AnYgZMrQHMGOlKrb+IBgvlLZOilpW/MRq6db5gpZy903hKIWiA5a5ESURdV3kHPtWoA+YDhMDTCuvJSLbxUoUktA13b6jRLTalPtkbS9AiAt1yDl96LD5yASIDW9kdqPYJ6lfzWWWhT9r/ePM3JRs/h/9U0BeU0mxeA4/hl42vgEl3Hh5A2LHR4nGkwefcDd9h4jxRHFKVGGvzKdovSsCJuRrPP19mUAngL580w1plt0bz1D8TsqjfmHCRsNodQgE2VX/H1HbsEDBVXNEVcSosrr3UqlCmowA1x3+Jm8oehvMxYgo0b+YwC6p5IFVXTFOIoE2L1xLSbXkHoltizjeSoOgcRM+CFabM3+S5syc4n9QSHoO38xKHFewDwQKidEwxbYnC6t6JuxeiIM1LmLwsQKA1BbXhVdkLYcab/9cI4I2PJpGpUAK6JalJSd2o3nxX3lDUWYbbrBAAJ0Nt3ZfrPvFCIZyFdiQUwaRivImTX9FpnU1dQtaPiUr4SQMr8th0XjuD1AZ5I0RFJBpAAfN/MombSug97LVDZSmHwWOpSD0qDviCZFyB5bUQYDdKtV+P2hvS00kA9DzKAIAGi5XvdhzrVzkPdY0F/MyG6aLvRNbB1ynorOKd9xnDkAPgf+QngCQW3+IjYpLGd+0QKRXOnqslH7NPZ4vmOlNivO11tJUe0Dgh5O4FAtCW7L7zmJcICeqiNnGTrTz6l2FwHR4MlYLiUNCcE5wfR081FC0OBCMr8RCjoWLCbn4EClpYICjRAhhKQCW11BrC6jp845GKYCF/GUu8S9qwhwA8w6Nt8SsCJZBG+3viJO2Wq2lPIywjCwXRr35lBpXdAeXZzHDaAfKKHMQWgIbplV87Mz8QKgOnYwY3QoDxhsuQgBFCt7xW9S8uV2B/7MdQu0Hzj5llNeGD+0q5mii543j7TDFQUUvij1kQqqKNq8csbaGwuUceoGHtFHgynL9ottSq4Ky/cVfK+HL+ZXwAgUUmQ7sP5LHT4iZSfLUuz42U4MuFrivRKAAdE9OTINbfQWdi/bIRmVS2KeZacJRpX7GURFSFqb8ZB6QeK3p+IL5tbtOPUspYhYDQo93ABxHC9tHxEDuo1huKCBWvas33HDNRdD231A7Uk50NIVowDLFCwH+YoAKJ2sSEsRAuzbNlm10Rj+4XMBaVev3goag3vw3/U6oxEcOxgOWAu7bxMcJfNYRUGzx/cJ1obzd6yVcqz45D94wFiFDYVrHCBwjCQptNQZP32aLfAJ3d1ewhaNHA0o8/MAcELym3dZzDocUcNtH/1Gw8K6Oa8faAifRUgC6decqG0YcMw5EqUE5yp6lSLyLSFLYWW/tF/NVBbr1cZCTvedh7Rv7BvURHQKtTJxDx1Ldm3W3r7uiGG2r/4I4gAc5e7Xv3Fvim6cbSRqwZAg122Ury9TKTECBW8NLpz/ADAhVVAWzoLrhhf1ZUSquvwP4nMXRNu7X+oGgNwDU+SW5I0V4RKG6Ba5UuwaaqgXzK5cSIzqkJfLMwAFcrFfPvUHZUewBe7eVGQOhLW9RLuQ7kDzZWqsrVi9A19tEoa9XewnNRrRWVA7hApRABVw44NixCekg3yf9TRh0dYtbUOZzAZi8EVWDfmbxO9VTa3mNAkiqNLc9Rd4Lor8ygzBqLW1FT17WcsfmUjjaCn5Yr0zjyPM5AB8F4hENgl44Vc7EJXzUVKkaaeCIDXjzxtQRCLl5cQfaFrhVzbDTHdw+A0tbeOCo2ES7FVRIdiYDZxXxHK5SQuu4FvTtEKCF/ZZjBDWqxQl/JMsG7oH7wGA8hKqRV4EELGcchEBDBvLxRAO90ggjj7QhEt3XcDQr1YXkApcbAP9pfZ/iz/cobPjRIX68LpP+y6Tt2pi+1ieLeXcImgK8w/DctbuS2q9j/cedFAGQcArnioqtECo8Vd/uRzN/gtygFtsQV9xmgKhfxdQmqQlu/BB5FeWA88feIAbid+XcIJE8j94CxZ5hVRj0WHj7R4JGNsuMRRBSuvtFDjSaH5ldQjHxNyIslzF+peH1KAwNe/tHYKCRW7931BcauImE7IHFePr7jxCFbXLDHismUjmhVLXR8xouZAVBx3plzeVUPESdG6Bl9EdlOhb/wCYN2ui7blFfbV+7xFvlM4IDMqC5d1GHgQqoamtepoDcvs0Uhr7wR1liydLREbQFpvHw4ZdEW1l7ayNIRta2WKTPFxBNRmWHHzGACguBNV1isQmkK4IL+aw8KkDAeKjnqLKgLZvnfUIQljb4LXLpksOSxDaurSmBElJEHDw8v2EQEg3tRcBHIdt8wUl2hObjhVtFaLlNtaxDT1H0DhFq9wfGR0VBUB/UWI1vPp8BKntzZB/MEtQN8z8GRpQaGp+ySn0F0RRMagbQBzFwICgY518RinK3jo/OEY4mypZ3EQtVTW+5f0cM4PcG+CMJtN+Lg+UGW0nEYNLeXr/AGVhYmBsH1Ut293YNls8iwsu/wCksxhJUtpC5aVRdi+d394Yxa9D45sLrHJpa+PE2hmO22KZxQq0Xp0yo8dv8/7DFsR58/8A2GTBY78P9SiAedSVUgM98/tUQ/TZtlhogWgVeeOYR5SacANf3Dg2lKAc/wAk21oNA0me5fHKvezftKML0tvVXmco4pPvTo29+osVotWHinuCuwQbd0XlfGS5QQKy+DIkhHSyT5twZw8XpVf7fc4fsKlmcuy9xDGLK7PjXSRAslV58QpRridS8iulgf3i6lButC/EbdKEovFfY/EIzo3iHLxLJpWAwYgZ0Qn9ZjKIbxuElIKTzT5QDwo9gpiQ5bVltUf3A4tTB2XCCAloenHcRCAWN/1GIH5Fc7zWnHp/yHal3F6j+BFztUuc3/dRRmOeeH9xsFYnQQnE7ora+FBn3nE4V69XBSKdiE4908rz9uIGWxrUUejuJUpaObTZLFgDThXG2xfskj6CUW2Nd67QmodL3fojFWT+BTysRrho/wD0+JXPq6xRHboCikp/2ViQLEHjqpeP4iT8IOJ/F8jrRR9patflAR9XEgAUmuKpuCBStzU5Msg/sL3+4Ja2zzR/iKNRLfA8PUWqitnUcbC8YU6a3bZh6JYIlPj5ZYMQ2OHH+EBRoPFhRFvjyrmDZVDhVHUvqtgmg2gIu0EVTsFgHuL2kvarNFEzYQ/mUOqD+kaLVZcXpRYb5V/MvASqTGrFyzng4rLxee8gHKqr9uf6h0LEb48p/kQHirOK8MXcgay7gm22CrKt/cfAAjfm5VtIdNIvAKNNHuFx3IKorSvfM4p6ma61/MJzTfcEMJDWxLFb8S5lPYEVTwHT0r7R1g2janUVovENIt6ChXEbAJo/gl4wNyLWCVYaAi+vKE1aFQUe6j4VacKuRWcxVXRaBSDzdZHo2EMSrxcuvAXhdO/vLK3zYfs9MGGVKIAo9S0JrGyt5k0l1hlPNwe1w0BZpzsXDojisfccZqkS25LgCtSK2owNIt3lC/yERVke95F3xISjjyM6l4LEFcRf5IntF57Lt/USh3mr7uYAgke6afzK3lDGmPhGVZJdd85CiDLWY3f7JEBVjKU2JydQFWwyoIeeS/M5kLT2qEwADtijMah5EILQCUAQDR0WuclwWdBuP5gRPmDTqAnHCv8AmWuNmqpjNRBa3wXz5iKdhA81Laei98EAKaAr1LTkyAD6X4iNs5G/N1K2KSq03hfMZmI3dKqqCGyy6v8AkaIVGK/tNHHFpzGzQW8TdZlvuUDpLFtuaP7iiYKxXGUXF1/kz+9IcfyA8RAZ0S+fHqK4ru7ONb+8AlutVLXf7wOIRqat4r7TbLVDZXN8+bipWFlhbSuPca+vC9il04hJs9TgNL7QeNyvNWf1HJGKAp3QHniLdwSmfcSV/agoAOW1XccRYGUqX/2A4Ry9PxzLhHL5NfadTUR39opfbjYtD1Ga80IGyOFazyZf/kVkLDYMuCItGA1Ql/mYRZWCtj/EqQwPLy7i5ByE80rsmuD45lAyMQhKwPPcNBspZPv5jSBjUS/JEwFQoJ6rn9prwSFQpou/ZYr2izh5/wCR0UKSgv4TkGGsFvg/ebvy6LMG27lC1LIo8WD6gAzAhVl9nTUwTBUwPbmIMMKLB8kWJkHa2U3Lwjvabc8eoGAIhCui/wC4q4mK6Br3At831drQU9f5CJSVss5vfQXFDoqOBUi+UhpSpU6t7iU5h7g3PPME1KnFznr8RIKpNdnSIhjKF7eTGyB0uKRBcW1Crig/3IRqq2Ahe4jHgLXnomkBfs66JYyBUP8AQSs0iob8/Yg1F1i1lQgLLsLN+8D0ZiA8hAGpnd4sRKjlaWfEU0uFUjrlNHiLLpUmFBORz5LiMqN7Df28dRivsyx0fcy6dsFIPGjxfX3j3pjBeWvULCKNw+zzHn7+xhle408LGACneX49zBvoAKqOf8io9ORW6v8AiU2aljo9ffzApP4CghqlnL+/UuizALG1GCFOKFPhyXBu3noaTyY+KYNaBYXOw90+4ux2Ea2gvMotja1yQARaB7OkNi6luA8f9lMm8VFKpgKQ3VpHKop1EAKHLcYwoiNWlf2wG282HQDivMXfVFKz0J4iEpYAYXfnhjxAWtx0SDtGvRt5cuMVFEUWPPsliERiv8pQ/uSaR9xMjywsR/2O6SzQbzj8RqYhWAdvzL5As6ewQIUh5YCwrey+YioiZ0MW4rYQLT2nkhQTfm//AGzaureLn8wa5s8WRJk15D/kstA1QdL/AJ7j+xtQbrM8kTLt2NVX2YlpYNNxzONV4WY+ZuDuK2/6hNWaMBN3QzgsMVPpr7xJOKlWjl+WpRgiwMd5b147lYQKC0B84HcVc5aq19vUGV+BO0boPN1EU7JqR5YBu8u0Dw/ePF1VXk6ra9wd0QWKfAP7+J1Q0pBRWuDiBxeJ+4f/AHcBmeLeqdvxBhLKFZbydyyjUL5D0JsPS0vCAd2mjxCYVRLWd0nxKQgtF+PxLeghwOftKSvFmzl/2PXssrQObsAUClExYulosusICltFLXhGKl+HwtP5/aLFWitHNW99EWbqwcF/yYxQOQVktGuhReOalEEFo7fzAjah8MdCyAsKtvv5YI6bL4D/AEiNUdIEWtJbzT+04ojG2l8RSVSJeHE+2peoR8NSxAWFNzu4AiaKF0S3w1QcCBRSUYcXxLPNChdC679wxY1s6Xw35tjpJWKBYWn7jcvgzS2i+iZsJDttZbeasN3DH8EmOZXFxNIVRYOPbk4zY9wHw4+IrlUPOvk24qOPXv8A5q6B/MTV9dElOVF8QRN5ZoaTR+CJFRjyeql7qK0FtDfiFNZhFdiDd+5k2Y5PFDzKZ8k27GIcEVwK+KlSeUXQf/Y0VERSj+d+MhbHlwhK4CU27tY23hbZnzDHlwNs5tlhBX2QbXO4HdiTgq7eCoJiJJe+DK/+VH6c4gY9VQ5zxEbfSIKHfEyQAu/7x+lmiaD9uPvHRJRpA4lDyIwG0Gu0AvoOOf5ghSk+B/EErdfMmms4BIOJZ7REf+v8zQUAujXNRYaOjhHQXiupTd0TZ8qxEtwUxR64faAQwhQhEuh5fEAFgLK3jiL7WA2XKtYL2r44mkeXBXJXxalbKWw8ycgvWAHWMq+tXI1UW8i3SNlGpS7ypkLi1Ma+HUr2LQwdu645gKegULtX/EOnJApwAeYIWEyLwt7qr+YUC+sbiwFARLNFREpoXg89mxCnA6JWCneokGas6/wStYssPYW3nECeIYNA7niCdF+7ZWZDzOfdLb4wwP3P3ifAIWOeLovzGXUFosV5ZYnmiOx+Ibtti5GFRVN5gKqVysXATrcWo67+Jl4bS7pneJmy/a41kAcDYLKgTyInggG4ng9y1IhccjUAH5mOynqGM0+Kjc0PeorRnPZUPDW3D7miUsC+4Ar3BFr57gvejvLXxGphhi8cQh54unI2RbBUUErwas4Py97+hGJW/aCbDRuiMbx3DLPkGuR34lHHmDKiZBdMcFEW1tg6YlSm4te3mAKZjChzMSugaES8VNsKrKb0De/5h+uDgzno9Q5ykpXzzbEWrUqjKuBsu5FtDCEARqQ5DlS9Upgs/pDiSVv+SAXY2jiMASKDXuJgR7IUTarpjdBavF8JDkFgNBEml8V6g2l3v9oDIiAu/mIlPTHbHkP4ItVOY56PlGWFrSytlwY0KN8+bimBQNyqplymaFAzdksl7lo1W0pQX8xbRvgt35lRbEVvKlf/AGn/2Q==", 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Kfxt+5vtqqZQMDoJgOx1mCWFum4RdlnUyXESAMviYTkM2kzsqqupfNQ8cZcWgV/c2FfmEsNUSniI0Eagy4O5fUWNKvMBriG5pIvjUcW18QIcfUXZVv1Btb5EfEq3WJhSToMz7YXChrRthmN+7tibK/EMLf5ThuOfmIRvUVWYzWxLqt12vaLqWrlgsMaCOGmyYM4zHsHzCtgarSKx2cVzEFijzFy4zcFbZZRu8axUyP+cAMpXUa2Rv80SzB2DcWAvZdOJagc0EGthGnV6dS319zKi4dobvjVDIrzFQwjtW44GXl4TxElYaG0wAwHwPiJcMGb4YuabrbuGxHEFqOGOUg+I1RW6fNxBV1f5uAIhKZ7llia/uV4FOnzNGuS96lALXTfzxAZxC38yxs7WdxZ/eBar7GZyN4MsTg4YGE5h+JeU9ygb5BFy+0WAN9m0a5I5hIF35CqlCKNAOZxqEyZhoMZdMqArRoREQLmgha2Q4moxSNFmNhVh8C15nDNtf1EFm0DJ3+CIBo7b1PDa3ctKlVPiZr0plbIpbLlIg7iLJGugL1+Y1SX/smyzmIsGuooMCOuGUCF8ms4jxGtDxH4o3fn/ksTyHio7oC0JRYFn7S2FJuozsCocABy7lKNTdDebliJwTKWjjGIpVfLKraKbUdhE3X3VLmrKLRmExMFMMtMmZsaYWeZpeFjEdzTmfmLAKu1QLUxHB+EuK1Nrd3qFtNVcy5pGZQkfJB183CuXHKRiTGf6nygoGN/3FeE064zFz91HTkqbv6iEsMrp1LlCl/iDfKggV43+0lBbDaB+5abHNuOJU4LHxDqAChp3zMho/Mp0nOYpVyqQSMY1uGmx9Ttn8Q6sPCmH5LjAXTO1EzKNN9kXy/X/YSiG16jkXt5LgFy3aJXcciBoeTxEzaHaKAPgIZafKXVeGnMCDlLrmXSTzF8mO4t7dOf8A75gqv9zYc0v1Nu1j+YOvwKnE5olrk1DTNQXXZfuLAtupfxp/caHauIDTLmWVLjH5AX1BCWn/ALLHZzjOpdNBb6lXmzGjBSC9270RZVXcyNn0tw+VwjH1C2coIUQxFl38zo5DmEq3AdRKKrDmC43sfiAwL6nOIiJosqmFaNwKhXmGIiNqV1MzOR1PwhmOOgKfuWCqv4iN2h/KWq1X+moX6qw35uYfSKyeX+psZMLvzMyxRCeysUwVZXXOYPjbXzAM19Liq8fiNWOFiXaJmvqCjDDHFThlhsDipRFT5ijE13HKwO0RMqziEdZF1GmxDzG7BxBEUKYt+IXOjaZ+oAVdTyiJdr/iUFmmNypudc0M0OF4XMxaKWzHlZDTqNpMILzLfWbKIUFxecyyuRIYIqVx3Ad9KwcXFsbbPmUwuG0EqJk/MdqZcJj9igc/MbackIchx1MJrxslLrGn9y6trwjulRBoSQZAs4irBVG5RRhxTKAIj0k4M8r+JfJ5R4OnPWyN4AKqNWNcOkwSail5YGS1sTkg5rcAaw1RmXCsS0TjjHDESpp8RnioSc0umiaq6/pFFR0JjMxrmosVOcbRkuTECSpmrKOpjqeAwUYbZlgAgr6leWMFgrLQF8kG1qhFBkjGjN9CfAuHBvAkriW2Pcszt+ZkEZq7+4X4zbFMXOem8qzEuaOZi7B4A8xxob5l4CK3mfKekxdjuXJiqix4LbVCod+CFrttGzZqZNH3Lot6sNQ6ZS3LFzeQuA8HLsvzEdlvAy2aLFYzFgGexiJ3lpeUomCBMMoXD6r1MrcXV1KVWD4lVScDbcy7KaxMhhzWYXMyuLY4N9r/AOzCtFcYQGWLaArzMPbTKFFX/UoWjzOC3XZFxfZchcpCk5wLndITEYBjvmZ3aZpf5hlJnLdSNtmNQVBD3UvhrKnxKM9TzMaDUgHWBxmYo70oQL9EQxwaC2+ZWqVLjdcAY6cL+oFFbJ/d6YK/ZL1fglwpHh5jsqc0RUtUrK3Cr+YHEx/0JkioYa/iB2pzRiUfIbyoilhQwV57hFyAKFzKiPiLzM7exc3GO1GYQzk3hxMgbcCVRU5zqEVYcBBUQHnJhUdGrqD1T8OYq67fDuUCn8Qez8/2iKQqskZ+g74wap2Rati2Bjtr55iHgeZVf6MAHQv5mVkMuCO7cMvXcLIHOnipQVn8Rol6YlOWv1PihPHZeWb4PzcW0DtORhAJuqJTJfMs5PxLoFajVVK1P95ZrjH7ocQu9U5SKSq3dbmUDw2fU8+bMniBnDW83+YPGFkOHtKK2GY0NIXh+YcEXdo/JCY2NA7/AHLBryUyxFpvKAMONqCYQBXcMWppliaUEmwItfiDAWKNm2bC8CM/H4MLTLmssCdN20jUAVccu5edoK7jMtarCyMRZfZXMfYrhbf3NvxihcLdb6SgAAvcbvuVVmZuq9P3LcTi/wCTDj+ZayNV3L7p9Q8fzjjaHYdTAOrnbDjW7suAh8nj6huoWKbQJS0UhlXPEOGAMeMTBgswNsZAxYa/DiIGYyH8y2dykSBg4EZYu2l4ALpZYNPCK0MaSBSYX8xQjXwgs8tNupRw9DN0XbQTEBX7hW9GChNfl/UvIAywYlfyt7mOAGAaQ8umtQz0+l4lNA1KJnLeczBGK4OYSCwzQ08JzLzaupZXAbGAOOEcdzcm3RBaU8XOR/C5XwyvD9Sst+0yzN6lmme01CHmowC978RTkKaeLlDhVSleSFYc7vN/Ez84xlN9xe1MWW8vpdgbGy5YWs8FdwNHf6lzo+4/hl6gHLoXH3FF3D2LqG44trVm5ndBSmCJK9tZ8S2N/FaSh/PzBg/or9RVNRAwjTVK56i3H8xjuisKhtgv5H9QFpSLRFh6Z28v7m55AzLhQQFgOsC57KYQfDuUQrYOSBsflcqBw7wgf//aAAwDAQACAAMAAAAQpuNOOc8YIN1obd0oFzHus46+jykIkyEq77ew4jjlp9TVUlI3sIwJxLLXRxs/VXhxCIXkZp/QJSXDAQAGa4ADFAiiCX+iBAAIQEEJhQiQ9qFWpWJrALewSIIT26eGzr/4Jg17b46w0VZTtjfAAw3oAxwvnydMKBoETlc/N39GFLkgPPsVr+SMJOklGkCkgqQaVRpCuOVII3LmU/AAOcG+55vNrJfN6D/7gjBEr4ydN0dQ10a+i7S1cHoGFYPwIq6f7JVTBXaUQW8TLLNBu1fPZkpCFjsTii6q+uhG6x4P6Gp4kwrL6MLccPZrGhDgn80FDDfjYEESx8oXUDENrqUgQ3FpS9z5tMPnWth4afqSF//EACARAAMAAwADAAMBAAAAAAAAAAABERAhMSBBUTBhcYH/2gAIAQMBAT8QeH5hDwxDy01iGNRll+JRPwlIiEyYZYbZXii2WIaZ2VlZSjeYQhMQilKXFRcUv4Jis2LCH+Glyioe/B7INTEN+MyouCdezRMNCk3i3FG14LB4V2NTTXhdF8INTCVJBdyqOzoQkvZK9GgaN4p4TQ39C2MRCRlGQYI20KfBoEtiaFDfgVjThYNGIPYmdEPVX2RCpHX0cv6FrUsOaLY2S4TxCWsf6B0Ns6oQuiVvRoEf0hNwKEMIhdbImh70hIwtD1BV1lf0WC16IJMjb2NQ010Tp+zcZpxFtUjRG4aE7hr0oEGTIJPeBIJbIaHbjGlYQJJcGuMg6x1OjXo3gr2UQdQpzDRwTvo06iIbxsxpdISP8L6h8i6wWNaLisbbehvYi2JY9ieQ/ZOQgCzZlBsRrE4awoJL0SbG/ol0JRJBwa9ibE+iZ1HyIayzi6LehHwXxhBV6Kl0qfC+kf3MWJRsuDacK2igCtBwE3RsmTN+ifQqnfAYkFhkEknsYW6E2J0//8QAHhEBAQEAAwEBAQEBAAAAAAAAAQARECExQSBRMGH/2gAIAQIBAT8Qjgk/IZnJwcvIcP8ACbzmwwuyI/ZKUmHDONyc+S7tHBlhYWfjeFttbudZIN4ZkwPG2WfnOd46jCXZm8Wf55L8sY5YZwHeNtOGONttnY3IW226M68sjrjIMnleGOMjJD5xnCljPf438idWWvzQ+xe40Zy28te7bPY6XbyQO4BCjVYl0uSr+c7GpPhlo9hhM7Qh033qZvwkmEHiG3rh/Cz6ZO9ki7gJAd2u+wF3UfnH/wClgRmWZ3K+Ww7s1vSA7Y+HCDq6Fu/vAsdh2v8AZ+BOHlkswM2RdMYOogD5fQjySJdzY15AO5B1D6l9gvlnyCeXkILbwKvTaJJPdhKfZPjdANohCMhgj5wedMP6yN44ak2AmGbw92f1vO7DaO7Hpb6g2Ddj0cG76LQbaPd0J7fJS1egbth6mO8IxdWEDAkHuPRwt6t+pdjryF7KbVmccnt7YxqNgSBuXb84CEv9mHDxQ3y+gkXvLqyyxsnEH9t7yID7wYYwSZJ3fBvJSQayXyWMOCSWYQ7xp95N2EW6iid243//xAAoEAEAAwACAgEDBQEBAQEAAAABABEhMUFRYXEQgZEgobHB0eHw8TD/2gAIAQEAAT8QeJ3GPM7/AFAamP0dsQq/U3BsuDn0L0Mi0CVkvuC8RbhBtzv6ckqLWo7huMLsePouZ9HL6Mfr/PpGpdS7gRO4HUNBATfEQG7iNiabYBXModwrUQrnZjJpmuYo4IqVLHUtuUYpKRTw1EuyWiviB20X4lpTKfEp8Mt4lMFDxS/cMw+gPMBzHYs7+hMjG64gKHSy5VOrMg8wAlQDxBCGvouWQSIYoRR8RiJA9Sx6nxQIrIg6JR4lEBATxKgEKJkIoWmRfUammHK0zkjtm6BbM1MSkNlR+lw9vpPpp8wPM+ctI9/o+f0bJcuDU+ENgSpUFXDGPEXtgWKVEVzEVFdhy5MQ8Yz5/oDcv3FlwZUlSDzFMWst8y0bT6NlstgsuFsRlHMvm+IBdwQOCCVK1uwHiOqlZ8ZSLzEizyy/mX8y0Gdypspq/rQShlUiPptLyjPpD3DwS7qV8T1QBMLua4QEFD6lZ0oNRb+npA0uGZ8so8RC4KlSpRLi39aIcTX1KZyuUR+gvmXL+lsGm4eURFmwSbmYWhqXFRDAjWw6Y1OJd6ir9LYuQhzCqlHiUeJUGj9C7szyxrqMOf8A8LYiv0D6AePrylH34wY/RV/RVS39VP0FcYu4fpePoc/rOfpU4Fc5fiIK1ULefcFZ/wDoOfS36PH1JcuL6F3KPMCoNSg8xTx9K+obFDHuYe8R37zS/MqUxofQ5nMq/oP0V7lwW5cX9PU36cbBYIyLlr9OpcOZhmr6lGaJVBXfG8QADbAuuW2fMpT3KpdTfEVLrJX0wyyIly5cv6V+irlSpUuVA2EUBRymQCF8wFciiWJWfRkQy6VV/aX1QBLd0/ajJc0oW91aFxfAOJRq+SfCIldS2HMWpT6ILsiC1lkuVhT3ErxLlxSyWS5kuckGuY21sV5OwVAIDr3BHGRbuXqXLnfMr3LsJqkoC7rp/wC5ifxCTK9v4nAax4PEd+tEMbi20RK+iUqGxVURC58mUQp3KAle4EqBfbPkzT3KlQ98Sjoi2WlcId+4qS3bWK11FZvP6HicCXko0VQUOLYoDQW6maElMt9x9bGhOPD5uVWPM7lSiVKXEdR5lmbDj9FMqBsVxKPMAKPmu4fBehjOZCOap+KNm0dcypRA3JgwKo7f8miYLAoDh7JQYrsePrT4fxOtjA/DOyNYORVb+0VqNgurRt/CGbQLSC3fZLAQqC0V4qVWeJ39b+j6lSvpthrjJfoO25Uo8fQ5+n7c/mGbQhdrEWAS2wu4sKisQy3YgH0C2FOWu4FUgYKwxNO77lwbr8fMHfQoFCWNIMls3w/0VQsPYRKIniLKzSoURsp0bXXuEIJXCvXIN1VsjApePLKrPEqV9KiBcKShnuLRjPEEU6wgP4jYDe+o/M6qCx2XCW2LKhKrDyX8RtAStWOoi4ZAUFkM84eZsM8pYCllW5SxYt+6KOhLGShtlvOCpuFkFLMHmaCzddZa1RyCUDLp9F97n3jN5qiw+8EEJNOcrssneFrU0iJWi/Ko5ZveBX7yqiL0JTv5iowbUVrXmcPlaHCBzdwvhaoEaruMxeOLX8bEBoOa4H8zW4HR/nmPLxOf3uZT00N57d8QImYav95pgNKh/sA0EFwURMptRq/mOkA5Qoh1L8hHVQQHa1KtFniodOlSqX6HggksFdlRtEy0cxniqG/MFjSyR9f75l9FyrSAjU0020c+IOWA8oliRn0Lh5qv3lkBaKVVfzxFUNq3AnYgZMrQHMGOlKrb+IBgvlLZOilpW/MRq6db5gpZy903hKIWiA5a5ESURdV3kHPtWoA+YDhMDTCuvJSLbxUoUktA13b6jRLTalPtkbS9AiAt1yDl96LD5yASIDW9kdqPYJ6lfzWWWhT9r/ePM3JRs/h/9U0BeU0mxeA4/hl42vgEl3Hh5A2LHR4nGkwefcDd9h4jxRHFKVGGvzKdovSsCJuRrPP19mUAngL580w1plt0bz1D8TsqjfmHCRsNodQgE2VX/H1HbsEDBVXNEVcSosrr3UqlCmowA1x3+Jm8oehvMxYgo0b+YwC6p5IFVXTFOIoE2L1xLSbXkHoltizjeSoOgcRM+CFabM3+S5syc4n9QSHoO38xKHFewDwQKidEwxbYnC6t6JuxeiIM1LmLwsQKA1BbXhVdkLYcab/9cI4I2PJpGpUAK6JalJSd2o3nxX3lDUWYbbrBAAJ0Nt3ZfrPvFCIZyFdiQUwaRivImTX9FpnU1dQtaPiUr4SQMr8th0XjuD1AZ5I0RFJBpAAfN/MombSug97LVDZSmHwWOpSD0qDviCZFyB5bUQYDdKtV+P2hvS00kA9DzKAIAGi5XvdhzrVzkPdY0F/MyG6aLvRNbB1ynorOKd9xnDkAPgf+QngCQW3+IjYpLGd+0QKRXOnqslH7NPZ4vmOlNivO11tJUe0Dgh5O4FAtCW7L7zmJcICeqiNnGTrTz6l2FwHR4MlYLiUNCcE5wfR081FC0OBCMr8RCjoWLCbn4EClpYICjRAhhKQCW11BrC6jp845GKYCF/GUu8S9qwhwA8w6Nt8SsCJZBG+3viJO2Wq2lPIywjCwXRr35lBpXdAeXZzHDaAfKKHMQWgIbplV87Mz8QKgOnYwY3QoDxhsuQgBFCt7xW9S8uV2B/7MdQu0Hzj5llNeGD+0q5mii543j7TDFQUUvij1kQqqKNq8csbaGwuUceoGHtFHgynL9ottSq4Ky/cVfK+HL+ZXwAgUUmQ7sP5LHT4iZSfLUuz42U4MuFrivRKAAdE9OTINbfQWdi/bIRmVS2KeZacJRpX7GURFSFqb8ZB6QeK3p+IL5tbtOPUspYhYDQo93ABxHC9tHxEDuo1huKCBWvas33HDNRdD231A7Uk50NIVowDLFCwH+YoAKJ2sSEsRAuzbNlm10Rj+4XMBaVev3goag3vw3/U6oxEcOxgOWAu7bxMcJfNYRUGzx/cJ1obzd6yVcqz45D94wFiFDYVrHCBwjCQptNQZP32aLfAJ3d1ewhaNHA0o8/MAcELym3dZzDocUcNtH/1Gw8K6Oa8faAifRUgC6decqG0YcMw5EqUE5yp6lSLyLSFLYWW/tF/NVBbr1cZCTvedh7Rv7BvURHQKtTJxDx1Ldm3W3r7uiGG2r/4I4gAc5e7Xv3Fvim6cbSRqwZAg122Ury9TKTECBW8NLpz/ADAhVVAWzoLrhhf1ZUSquvwP4nMXRNu7X+oGgNwDU+SW5I0V4RKG6Ba5UuwaaqgXzK5cSIzqkJfLMwAFcrFfPvUHZUewBe7eVGQOhLW9RLuQ7kDzZWqsrVi9A19tEoa9XewnNRrRWVA7hApRABVw44NixCekg3yf9TRh0dYtbUOZzAZi8EVWDfmbxO9VTa3mNAkiqNLc9Rd4Lor8ygzBqLW1FT17WcsfmUjjaCn5Yr0zjyPM5AB8F4hENgl44Vc7EJXzUVKkaaeCIDXjzxtQRCLl5cQfaFrhVzbDTHdw+A0tbeOCo2ES7FVRIdiYDZxXxHK5SQuu4FvTtEKCF/ZZjBDWqxQl/JMsG7oH7wGA8hKqRV4EELGcchEBDBvLxRAO90ggjj7QhEt3XcDQr1YXkApcbAP9pfZ/iz/cobPjRIX68LpP+y6Tt2pi+1ieLeXcImgK8w/DctbuS2q9j/cedFAGQcArnioqtECo8Vd/uRzN/gtygFtsQV9xmgKhfxdQmqQlu/BB5FeWA88feIAbid+XcIJE8j94CxZ5hVRj0WHj7R4JGNsuMRRBSuvtFDjSaH5ldQjHxNyIslzF+peH1KAwNe/tHYKCRW7931BcauImE7IHFePr7jxCFbXLDHismUjmhVLXR8xouZAVBx3plzeVUPESdG6Bl9EdlOhb/wCYN2ui7blFfbV+7xFvlM4IDMqC5d1GHgQqoamtepoDcvs0Uhr7wR1liydLREbQFpvHw4ZdEW1l7ayNIRta2WKTPFxBNRmWHHzGACguBNV1isQmkK4IL+aw8KkDAeKjnqLKgLZvnfUIQljb4LXLpksOSxDaurSmBElJEHDw8v2EQEg3tRcBHIdt8wUl2hObjhVtFaLlNtaxDT1H0DhFq9wfGR0VBUB/UWI1vPp8BKntzZB/MEtQN8z8GRpQaGp+ySn0F0RRMagbQBzFwICgY518RinK3jo/OEY4mypZ3EQtVTW+5f0cM4PcG+CMJtN+Lg+UGW0nEYNLeXr/AGVhYmBsH1Ut293YNls8iwsu/wCksxhJUtpC5aVRdi+d394Yxa9D45sLrHJpa+PE2hmO22KZxQq0Xp0yo8dv8/7DFsR58/8A2GTBY78P9SiAedSVUgM98/tUQ/TZtlhogWgVeeOYR5SacANf3Dg2lKAc/wAk21oNA0me5fHKvezftKML0tvVXmco4pPvTo29+osVotWHinuCuwQbd0XlfGS5QQKy+DIkhHSyT5twZw8XpVf7fc4fsKlmcuy9xDGLK7PjXSRAslV58QpRridS8iulgf3i6lButC/EbdKEovFfY/EIzo3iHLxLJpWAwYgZ0Qn9ZjKIbxuElIKTzT5QDwo9gpiQ5bVltUf3A4tTB2XCCAloenHcRCAWN/1GIH5Fc7zWnHp/yHal3F6j+BFztUuc3/dRRmOeeH9xsFYnQQnE7ora+FBn3nE4V69XBSKdiE4908rz9uIGWxrUUejuJUpaObTZLFgDThXG2xfskj6CUW2Nd67QmodL3fojFWT+BTysRrho/wD0+JXPq6xRHboCikp/2ViQLEHjqpeP4iT8IOJ/F8jrRR9patflAR9XEgAUmuKpuCBStzU5Msg/sL3+4Ja2zzR/iKNRLfA8PUWqitnUcbC8YU6a3bZh6JYIlPj5ZYMQ2OHH+EBRoPFhRFvjyrmDZVDhVHUvqtgmg2gIu0EVTsFgHuL2kvarNFEzYQ/mUOqD+kaLVZcXpRYb5V/MvASqTGrFyzng4rLxee8gHKqr9uf6h0LEb48p/kQHirOK8MXcgay7gm22CrKt/cfAAjfm5VtIdNIvAKNNHuFx3IKorSvfM4p6ma61/MJzTfcEMJDWxLFb8S5lPYEVTwHT0r7R1g2janUVovENIt6ChXEbAJo/gl4wNyLWCVYaAi+vKE1aFQUe6j4VacKuRWcxVXRaBSDzdZHo2EMSrxcuvAXhdO/vLK3zYfs9MGGVKIAo9S0JrGyt5k0l1hlPNwe1w0BZpzsXDojisfccZqkS25LgCtSK2owNIt3lC/yERVke95F3xISjjyM6l4LEFcRf5IntF57Lt/USh3mr7uYAgke6afzK3lDGmPhGVZJdd85CiDLWY3f7JEBVjKU2JydQFWwyoIeeS/M5kLT2qEwADtijMah5EILQCUAQDR0WuclwWdBuP5gRPmDTqAnHCv8AmWuNmqpjNRBa3wXz5iKdhA81Laei98EAKaAr1LTkyAD6X4iNs5G/N1K2KSq03hfMZmI3dKqqCGyy6v8AkaIVGK/tNHHFpzGzQW8TdZlvuUDpLFtuaP7iiYKxXGUXF1/kz+9IcfyA8RAZ0S+fHqK4ru7ONb+8AlutVLXf7wOIRqat4r7TbLVDZXN8+bipWFlhbSuPca+vC9il04hJs9TgNL7QeNyvNWf1HJGKAp3QHniLdwSmfcSV/agoAOW1XccRYGUqX/2A4Ry9PxzLhHL5NfadTUR39opfbjYtD1Ga80IGyOFazyZf/kVkLDYMuCItGA1Ql/mYRZWCtj/EqQwPLy7i5ByE80rsmuD45lAyMQhKwPPcNBspZPv5jSBjUS/JEwFQoJ6rn9prwSFQpou/ZYr2izh5/wCR0UKSgv4TkGGsFvg/ebvy6LMG27lC1LIo8WD6gAzAhVl9nTUwTBUwPbmIMMKLB8kWJkHa2U3Lwjvabc8eoGAIhCui/wC4q4mK6Br3At831drQU9f5CJSVss5vfQXFDoqOBUi+UhpSpU6t7iU5h7g3PPME1KnFznr8RIKpNdnSIhjKF7eTGyB0uKRBcW1Crig/3IRqq2Ahe4jHgLXnomkBfs66JYyBUP8AQSs0iob8/Yg1F1i1lQgLLsLN+8D0ZiA8hAGpnd4sRKjlaWfEU0uFUjrlNHiLLpUmFBORz5LiMqN7Df28dRivsyx0fcy6dsFIPGjxfX3j3pjBeWvULCKNw+zzHn7+xhle408LGACneX49zBvoAKqOf8io9ORW6v8AiU2aljo9ffzApP4CghqlnL+/UuizALG1GCFOKFPhyXBu3noaTyY+KYNaBYXOw90+4ux2Ea2gvMotja1yQARaB7OkNi6luA8f9lMm8VFKpgKQ3VpHKop1EAKHLcYwoiNWlf2wG282HQDivMXfVFKz0J4iEpYAYXfnhjxAWtx0SDtGvRt5cuMVFEUWPPsliERiv8pQ/uSaR9xMjywsR/2O6SzQbzj8RqYhWAdvzL5As6ewQIUh5YCwrey+YioiZ0MW4rYQLT2nkhQTfm//AGzaureLn8wa5s8WRJk15D/kstA1QdL/AJ7j+xtQbrM8kTLt2NVX2YlpYNNxzONV4WY+ZuDuK2/6hNWaMBN3QzgsMVPpr7xJOKlWjl+WpRgiwMd5b147lYQKC0B84HcVc5aq19vUGV+BO0boPN1EU7JqR5YBu8u0Dw/ePF1VXk6ra9wd0QWKfAP7+J1Q0pBRWuDiBxeJ+4f/AHcBmeLeqdvxBhLKFZbydyyjUL5D0JsPS0vCAd2mjxCYVRLWd0nxKQgtF+PxLeghwOftKSvFmzl/2PXssrQObsAUClExYulosusICltFLXhGKl+HwtP5/aLFWitHNW99EWbqwcF/yYxQOQVktGuhReOalEEFo7fzAjah8MdCyAsKtvv5YI6bL4D/AEiNUdIEWtJbzT+04ojG2l8RSVSJeHE+2peoR8NSxAWFNzu4AiaKF0S3w1QcCBRSUYcXxLPNChdC679wxY1s6Xw35tjpJWKBYWn7jcvgzS2i+iZsJDttZbeasN3DH8EmOZXFxNIVRYOPbk4zY9wHw4+IrlUPOvk24qOPXv8A5q6B/MTV9dElOVF8QRN5ZoaTR+CJFRjyeql7qK0FtDfiFNZhFdiDd+5k2Y5PFDzKZ8k27GIcEVwK+KlSeUXQf/Y0VERSj+d+MhbHlwhK4CU27tY23hbZnzDHlwNs5tlhBX2QbXO4HdiTgq7eCoJiJJe+DK/+VH6c4gY9VQ5zxEbfSIKHfEyQAu/7x+lmiaD9uPvHRJRpA4lDyIwG0Gu0AvoOOf5ghSk+B/EErdfMmms4BIOJZ7REf+v8zQUAujXNRYaOjhHQXiupTd0TZ8qxEtwUxR64faAQwhQhEuh5fEAFgLK3jiL7WA2XKtYL2r44mkeXBXJXxalbKWw8ycgvWAHWMq+tXI1UW8i3SNlGpS7ypkLi1Ma+HUr2LQwdu645gKegULtX/EOnJApwAeYIWEyLwt7qr+YUC+sbiwFARLNFREpoXg89mxCnA6JWCneokGas6/wStYssPYW3nECeIYNA7niCdF+7ZWZDzOfdLb4wwP3P3ifAIWOeLovzGXUFosV5ZYnmiOx+Ibtti5GFRVN5gKqVysXATrcWo67+Jl4bS7pneJmy/a41kAcDYLKgTyInggG4ng9y1IhccjUAH5mOynqGM0+Kjc0PeorRnPZUPDW3D7miUsC+4Ar3BFr57gvejvLXxGphhi8cQh54unI2RbBUUErwas4Py97+hGJW/aCbDRuiMbx3DLPkGuR34lHHmDKiZBdMcFEW1tg6YlSm4te3mAKZjChzMSugaES8VNsKrKb0De/5h+uDgzno9Q5ykpXzzbEWrUqjKuBsu5FtDCEARqQ5DlS9Upgs/pDiSVv+SAXY2jiMASKDXuJgR7IUTarpjdBavF8JDkFgNBEml8V6g2l3v9oDIiAu/mIlPTHbHkP4ItVOY56PlGWFrSytlwY0KN8+bimBQNyqplymaFAzdksl7lo1W0pQX8xbRvgt35lRbEVvKlf/AGn/2Q==", width=300, height=300, fit=ft.BoxFit.FILL, diff --git a/sdk/python/examples/controls/stack/text_on_image.py b/sdk/python/examples/controls/stack/text_on_image.py index 4915f3ff9e..dfff5b0e43 100644 --- a/sdk/python/examples/controls/stack/text_on_image.py +++ b/sdk/python/examples/controls/stack/text_on_image.py @@ -8,7 +8,7 @@ def main(page: ft.Page): height=300, controls=[ ft.Image( - 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", 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", width=300, height=300, fit=ft.BoxFit.CONTAIN, diff --git a/sdk/python/examples/cookbook/cpu_bound_png_stream.py b/sdk/python/examples/cookbook/cpu_bound_png_stream.py index ac04200699..3343c5f9b3 100644 --- a/sdk/python/examples/cookbook/cpu_bound_png_stream.py +++ b/sdk/python/examples/cookbook/cpu_bound_png_stream.py @@ -87,7 +87,7 @@ async def consumer_loop( break print("Draw:", len(png)) - canvas.shapes = [fc.Image(src_bytes=png, x=0, y=0)] + canvas.shapes = [fc.Image(src=png, x=0, y=0)] canvas.update() From c6f5f44da5ea559495d835dbc48f9d92492c6846 Mon Sep 17 00:00:00 2001 From: ndonkoHenri Date: Thu, 13 Nov 2025 16:10:37 +0100 Subject: [PATCH 03/12] tests --- .../flet/integration_tests/controls/core/test_image.py | 6 +++--- .../controls/cupertino/test_cupertino_text_field.py | 2 +- .../integration_tests/examples/core/test_shader_mask.py | 2 +- .../flet/integration_tests/examples/core/test_stack.py | 2 +- 4 files changed, 6 insertions(+), 6 deletions(-) diff --git a/sdk/python/packages/flet/integration_tests/controls/core/test_image.py b/sdk/python/packages/flet/integration_tests/controls/core/test_image.py index ee7e33fc79..8bfe6a1e6e 100644 --- a/sdk/python/packages/flet/integration_tests/controls/core/test_image.py +++ b/sdk/python/packages/flet/integration_tests/controls/core/test_image.py @@ -28,7 +28,7 @@ async def test_src_base64(flet_app: ftt.FletTestApp, request): await flet_app.assert_control_screenshot( request.node.name, ft.Image( - src_base64=base64_string, + src=base64_string, width=100, height=100, ), @@ -85,7 +85,7 @@ async def test_src_svg_string(flet_app: ftt.FletTestApp, request): @pytest.mark.asyncio(loop_scope="module") -@pytest.mark.skip(reason="image is not rendered from src_bytes in CI environment") +@pytest.mark.skip(reason="image is not rendered from bytes src in CI environment") async def test_src_bytes(flet_app: ftt.FletTestApp, request): # Decode the Base64 string into bytes image_bytes = base64.b64decode(base64_string) @@ -93,7 +93,7 @@ async def test_src_bytes(flet_app: ftt.FletTestApp, request): await flet_app.assert_control_screenshot( request.node.name, ft.Image( - src_bytes=image_bytes, + src=image_bytes, width=100, height=100, ), diff --git a/sdk/python/packages/flet/integration_tests/controls/cupertino/test_cupertino_text_field.py b/sdk/python/packages/flet/integration_tests/controls/cupertino/test_cupertino_text_field.py index beba65a686..b0e9c9a52d 100644 --- a/sdk/python/packages/flet/integration_tests/controls/cupertino/test_cupertino_text_field.py +++ b/sdk/python/packages/flet/integration_tests/controls/cupertino/test_cupertino_text_field.py @@ -50,7 +50,7 @@ async def test_label_and_image(flet_app: ftt.FletTestApp, request): label_style=ft.TextStyle(italic=True, weight=ft.FontWeight.BOLD), bgcolor=ft.Colors.BLUE_GREY, image=ft.DecorationImage( - 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), ), pump_duration=ft.Duration.from_unit(seconds=4), diff --git a/sdk/python/packages/flet/integration_tests/examples/core/test_shader_mask.py b/sdk/python/packages/flet/integration_tests/examples/core/test_shader_mask.py index dc2476dbd2..2a70d53aa7 100644 --- a/sdk/python/packages/flet/integration_tests/examples/core/test_shader_mask.py +++ b/sdk/python/packages/flet/integration_tests/examples/core/test_shader_mask.py @@ -21,7 +21,7 @@ async def test_image_for_docs(flet_app_function: ftt.FletTestApp, request): tile_mode=ft.GradientTileMode.CLAMP, ), content=ft.Image( - 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", 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Kfxt+5vtqqZQMDoJgOx1mCWFum4RdlnUyXESAMviYTkM2kzsqqupfNQ8cZcWgV/c2FfmEsNUSniI0Eagy4O5fUWNKvMBriG5pIvjUcW18QIcfUXZVv1Btb5EfEq3WJhSToMz7YXChrRthmN+7tibK/EMLf5ThuOfmIRvUVWYzWxLqt12vaLqWrlgsMaCOGmyYM4zHsHzCtgarSKx2cVzEFijzFy4zcFbZZRu8axUyP+cAMpXUa2Rv80SzB2DcWAvZdOJagc0EGthGnV6dS319zKi4dobvjVDIrzFQwjtW44GXl4TxElYaG0wAwHwPiJcMGb4YuabrbuGxHEFqOGOUg+I1RW6fNxBV1f5uAIhKZ7llia/uV4FOnzNGuS96lALXTfzxAZxC38yxs7WdxZ/eBar7GZyN4MsTg4YGE5h+JeU9ygb5BFy+0WAN9m0a5I5hIF35CqlCKNAOZxqEyZhoMZdMqArRoREQLmgha2Q4moxSNFmNhVh8C15nDNtf1EFm0DJ3+CIBo7b1PDa3ctKlVPiZr0plbIpbLlIg7iLJGugL1+Y1SX/smyzmIsGuooMCOuGUCF8ms4jxGtDxH4o3fn/ksTyHio7oC0JRYFn7S2FJuozsCocABy7lKNTdDebliJwTKWjjGIpVfLKraKbUdhE3X3VLmrKLRmExMFMMtMmZsaYWeZpeFjEdzTmfmLAKu1QLUxHB+EuK1Nrd3qFtNVcy5pGZQkfJB183CuXHKRiTGf6nygoGN/3FeE064zFz91HTkqbv6iEsMrp1LlCl/iDfKggV43+0lBbDaB+5abHNuOJU4LHxDqAChp3zMho/Mp0nOYpVyqQSMY1uGmx9Ttn8Q6sPCmH5LjAXTO1EzKNN9kXy/X/YSiG16jkXt5LgFy3aJXcciBoeTxEzaHaKAPgIZafKXVeGnMCDlLrmXSTzF8mO4t7dOf8A75gqv9zYc0v1Nu1j+YOvwKnE5olrk1DTNQXXZfuLAtupfxp/caHauIDTLmWVLjH5AX1BCWn/ALLHZzjOpdNBb6lXmzGjBSC9270RZVXcyNn0tw+VwjH1C2coIUQxFl38zo5DmEq3AdRKKrDmC43sfiAwL6nOIiJosqmFaNwKhXmGIiNqV1MzOR1PwhmOOgKfuWCqv4iN2h/KWq1X+moX6qw35uYfSKyeX+psZMLvzMyxRCeysUwVZXXOYPjbXzAM19Liq8fiNWOFiXaJmvqCjDDHFThlhsDipRFT5ijE13HKwO0RMqziEdZF1GmxDzG7BxBEUKYt+IXOjaZ+oAVdTyiJdr/iUFmmNypudc0M0OF4XMxaKWzHlZDTqNpMILzLfWbKIUFxecyyuRIYIqVx3Ad9KwcXFsbbPmUwuG0EqJk/MdqZcJj9igc/MbackIchx1MJrxslLrGn9y6trwjulRBoSQZAs4irBVG5RRhxTKAIj0k4M8r+JfJ5R4OnPWyN4AKqNWNcOkwSail5YGS1sTkg5rcAaw1RmXCsS0TjjHDESpp8RnioSc0umiaq6/pFFR0JjMxrmosVOcbRkuTECSpmrKOpjqeAwUYbZlgAgr6leWMFgrLQF8kG1qhFBkjGjN9CfAuHBvAkriW2Pcszt+ZkEZq7+4X4zbFMXOem8qzEuaOZi7B4A8xxob5l4CK3mfKekxdjuXJiqix4LbVCod+CFrttGzZqZNH3Lot6sNQ6ZS3LFzeQuA8HLsvzEdlvAy2aLFYzFgGexiJ3lpeUomCBMMoXD6r1MrcXV1KVWD4lVScDbcy7KaxMhhzWYXMyuLY4N9r/AOzCtFcYQGWLaArzMPbTKFFX/UoWjzOC3XZFxfZchcpCk5wLndITEYBjvmZ3aZpf5hlJnLdSNtmNQVBD3UvhrKnxKM9TzMaDUgHWBxmYo70oQL9EQxwaC2+ZWqVLjdcAY6cL+oFFbJ/d6YK/ZL1fglwpHh5jsqc0RUtUrK3Cr+YHEx/0JkioYa/iB2pzRiUfIbyoilhQwV57hFyAKFzKiPiLzM7exc3GO1GYQzk3hxMgbcCVRU5zqEVYcBBUQHnJhUdGrqD1T8OYq67fDuUCn8Qez8/2iKQqskZ+g74wap2Rati2Bjtr55iHgeZVf6MAHQv5mVkMuCO7cMvXcLIHOnipQVn8Rol6YlOWv1PihPHZeWb4PzcW0DtORhAJuqJTJfMs5PxLoFajVVK1P95ZrjH7ocQu9U5SKSq3dbmUDw2fU8+bMniBnDW83+YPGFkOHtKK2GY0NIXh+YcEXdo/JCY2NA7/AHLBryUyxFpvKAMONqCYQBXcMWppliaUEmwItfiDAWKNm2bC8CM/H4MLTLmssCdN20jUAVccu5edoK7jMtarCyMRZfZXMfYrhbf3NvxihcLdb6SgAAvcbvuVVmZuq9P3LcTi/wCTDj+ZayNV3L7p9Q8fzjjaHYdTAOrnbDjW7suAh8nj6huoWKbQJS0UhlXPEOGAMeMTBgswNsZAxYa/DiIGYyH8y2dykSBg4EZYu2l4ALpZYNPCK0MaSBSYX8xQjXwgs8tNupRw9DN0XbQTEBX7hW9GChNfl/UvIAywYlfyt7mOAGAaQ8umtQz0+l4lNA1KJnLeczBGK4OYSCwzQ08JzLzaupZXAbGAOOEcdzcm3RBaU8XOR/C5XwyvD9Sst+0yzN6lmme01CHmowC978RTkKaeLlDhVSleSFYc7vN/Ez84xlN9xe1MWW8vpdgbGy5YWs8FdwNHf6lzo+4/hl6gHLoXH3FF3D2LqG44trVm5ndBSmCJK9tZ8S2N/FaSh/PzBg/or9RVNRAwjTVK56i3H8xjuisKhtgv5H9QFpSLRFh6Z28v7m55AzLhQQFgOsC57KYQfDuUQrYOSBsflcqBw7wgf//aAAwDAQACAAMAAAAQpuNOOc8YIN1obd0oFzHus46+jykIkyEq77ew4jjlp9TVUlI3sIwJxLLXRxs/VXhxCIXkZp/QJSXDAQAGa4ADFAiiCX+iBAAIQEEJhQiQ9qFWpWJrALewSIIT26eGzr/4Jg17b46w0VZTtjfAAw3oAxwvnydMKBoETlc/N39GFLkgPPsVr+SMJOklGkCkgqQaVRpCuOVII3LmU/AAOcG+55vNrJfN6D/7gjBEr4ydN0dQ10a+i7S1cHoGFYPwIq6f7JVTBXaUQW8TLLNBu1fPZkpCFjsTii6q+uhG6x4P6Gp4kwrL6MLccPZrGhDgn80FDDfjYEESx8oXUDENrqUgQ3FpS9z5tMPnWth4afqSF//EACARAAMAAwADAAMBAAAAAAAAAAABERAhMSBBUTBhcYH/2gAIAQMBAT8QeH5hDwxDy01iGNRll+JRPwlIiEyYZYbZXii2WIaZ2VlZSjeYQhMQilKXFRcUv4Jis2LCH+Glyioe/B7INTEN+MyouCdezRMNCk3i3FG14LB4V2NTTXhdF8INTCVJBdyqOzoQkvZK9GgaN4p4TQ39C2MRCRlGQYI20KfBoEtiaFDfgVjThYNGIPYmdEPVX2RCpHX0cv6FrUsOaLY2S4TxCWsf6B0Ns6oQuiVvRoEf0hNwKEMIhdbImh70hIwtD1BV1lf0WC16IJMjb2NQ010Tp+zcZpxFtUjRG4aE7hr0oEGTIJPeBIJbIaHbjGlYQJJcGuMg6x1OjXo3gr2UQdQpzDRwTvo06iIbxsxpdISP8L6h8i6wWNaLisbbehvYi2JY9ieQ/ZOQgCzZlBsRrE4awoJL0SbG/ol0JRJBwa9ibE+iZ1HyIayzi6LehHwXxhBV6Kl0qfC+kf3MWJRsuDacK2igCtBwE3RsmTN+ifQqnfAYkFhkEknsYW6E2J0//8QAHhEBAQEAAwEBAQEBAAAAAAAAAQARECExQSBRMGH/2gAIAQIBAT8Qjgk/IZnJwcvIcP8ACbzmwwuyI/ZKUmHDONyc+S7tHBlhYWfjeFttbudZIN4ZkwPG2WfnOd46jCXZm8Wf55L8sY5YZwHeNtOGONttnY3IW226M68sjrjIMnleGOMjJD5xnCljPf438idWWvzQ+xe40Zy28te7bPY6XbyQO4BCjVYl0uSr+c7GpPhlo9hhM7Qh033qZvwkmEHiG3rh/Cz6ZO9ki7gJAd2u+wF3UfnH/wClgRmWZ3K+Ww7s1vSA7Y+HCDq6Fu/vAsdh2v8AZ+BOHlkswM2RdMYOogD5fQjySJdzY15AO5B1D6l9gvlnyCeXkILbwKvTaJJPdhKfZPjdANohCMhgj5wedMP6yN44ak2AmGbw92f1vO7DaO7Hpb6g2Ddj0cG76LQbaPd0J7fJS1egbth6mO8IxdWEDAkHuPRwt6t+pdjryF7KbVmccnt7YxqNgSBuXb84CEv9mHDxQ3y+gkXvLqyyxsnEH9t7yID7wYYwSZJ3fBvJSQayXyWMOCSWYQ7xp95N2EW6iid243//xAAoEAEAAwACAgEDBQEBAQEAAAABABEhMUFRYXEQgZEgobHB0eHw8TD/2gAIAQEAAT8QeJ3GPM7/AFAamP0dsQq/U3BsuDn0L0Mi0CVkvuC8RbhBtzv6ckqLWo7huMLsePouZ9HL6Mfr/PpGpdS7gRO4HUNBATfEQG7iNiabYBXModwrUQrnZjJpmuYo4IqVLHUtuUYpKRTw1EuyWiviB20X4lpTKfEp8Mt4lMFDxS/cMw+gPMBzHYs7+hMjG64gKHSy5VOrMg8wAlQDxBCGvouWQSIYoRR8RiJA9Sx6nxQIrIg6JR4lEBATxKgEKJkIoWmRfUammHK0zkjtm6BbM1MSkNlR+lw9vpPpp8wPM+ctI9/o+f0bJcuDU+ENgSpUFXDGPEXtgWKVEVzEVFdhy5MQ8Yz5/oDcv3FlwZUlSDzFMWst8y0bT6NlstgsuFsRlHMvm+IBdwQOCCVK1uwHiOqlZ8ZSLzEizyy/mX8y0Gdypspq/rQShlUiPptLyjPpD3DwS7qV8T1QBMLua4QEFD6lZ0oNRb+npA0uGZ8so8RC4KlSpRLi39aIcTX1KZyuUR+gvmXL+lsGm4eURFmwSbmYWhqXFRDAjWw6Y1OJd6ir9LYuQhzCqlHiUeJUGj9C7szyxrqMOf8A8LYiv0D6AePrylH34wY/RV/RVS39VP0FcYu4fpePoc/rOfpU4Fc5fiIK1ULefcFZ/wDoOfS36PH1JcuL6F3KPMCoNSg8xTx9K+obFDHuYe8R37zS/MqUxofQ5nMq/oP0V7lwW5cX9PU36cbBYIyLlr9OpcOZhmr6lGaJVBXfG8QADbAuuW2fMpT3KpdTfEVLrJX0wyyIly5cv6V+irlSpUuVA2EUBRymQCF8wFciiWJWfRkQy6VV/aX1QBLd0/ajJc0oW91aFxfAOJRq+SfCIldS2HMWpT6ILsiC1lkuVhT3ErxLlxSyWS5kuckGuY21sV5OwVAIDr3BHGRbuXqXLnfMr3LsJqkoC7rp/wC5ifxCTK9v4nAax4PEd+tEMbi20RK+iUqGxVURC58mUQp3KAle4EqBfbPkzT3KlQ98Sjoi2WlcId+4qS3bWK11FZvP6HicCXko0VQUOLYoDQW6maElMt9x9bGhOPD5uVWPM7lSiVKXEdR5lmbDj9FMqBsVxKPMAKPmu4fBehjOZCOap+KNm0dcypRA3JgwKo7f8miYLAoDh7JQYrsePrT4fxOtjA/DOyNYORVb+0VqNgurRt/CGbQLSC3fZLAQqC0V4qVWeJ39b+j6lSvpthrjJfoO25Uo8fQ5+n7c/mGbQhdrEWAS2wu4sKisQy3YgH0C2FOWu4FUgYKwxNO77lwbr8fMHfQoFCWNIMls3w/0VQsPYRKIniLKzSoURsp0bXXuEIJXCvXIN1VsjApePLKrPEqV9KiBcKShnuLRjPEEU6wgP4jYDe+o/M6qCx2XCW2LKhKrDyX8RtAStWOoi4ZAUFkM84eZsM8pYCllW5SxYt+6KOhLGShtlvOCpuFkFLMHmaCzddZa1RyCUDLp9F97n3jN5qiw+8EEJNOcrssneFrU0iJWi/Ko5ZveBX7yqiL0JTv5iowbUVrXmcPlaHCBzdwvhaoEaruMxeOLX8bEBoOa4H8zW4HR/nmPLxOf3uZT00N57d8QImYav95pgNKh/sA0EFwURMptRq/mOkA5Qoh1L8hHVQQHa1KtFniodOlSqX6HggksFdlRtEy0cxniqG/MFjSyR9f75l9FyrSAjU0020c+IOWA8oliRn0Lh5qv3lkBaKVVfzxFUNq3AnYgZMrQHMGOlKrb+IBgvlLZOilpW/MRq6db5gpZy903hKIWiA5a5ESURdV3kHPtWoA+YDhMDTCuvJSLbxUoUktA13b6jRLTalPtkbS9AiAt1yDl96LD5yASIDW9kdqPYJ6lfzWWWhT9r/ePM3JRs/h/9U0BeU0mxeA4/hl42vgEl3Hh5A2LHR4nGkwefcDd9h4jxRHFKVGGvzKdovSsCJuRrPP19mUAngL580w1plt0bz1D8TsqjfmHCRsNodQgE2VX/H1HbsEDBVXNEVcSosrr3UqlCmowA1x3+Jm8oehvMxYgo0b+YwC6p5IFVXTFOIoE2L1xLSbXkHoltizjeSoOgcRM+CFabM3+S5syc4n9QSHoO38xKHFewDwQKidEwxbYnC6t6JuxeiIM1LmLwsQKA1BbXhVdkLYcab/9cI4I2PJpGpUAK6JalJSd2o3nxX3lDUWYbbrBAAJ0Nt3ZfrPvFCIZyFdiQUwaRivImTX9FpnU1dQtaPiUr4SQMr8th0XjuD1AZ5I0RFJBpAAfN/MombSug97LVDZSmHwWOpSD0qDviCZFyB5bUQYDdKtV+P2hvS00kA9DzKAIAGi5XvdhzrVzkPdY0F/MyG6aLvRNbB1ynorOKd9xnDkAPgf+QngCQW3+IjYpLGd+0QKRXOnqslH7NPZ4vmOlNivO11tJUe0Dgh5O4FAtCW7L7zmJcICeqiNnGTrTz6l2FwHR4MlYLiUNCcE5wfR081FC0OBCMr8RCjoWLCbn4EClpYICjRAhhKQCW11BrC6jp845GKYCF/GUu8S9qwhwA8w6Nt8SsCJZBG+3viJO2Wq2lPIywjCwXRr35lBpXdAeXZzHDaAfKKHMQWgIbplV87Mz8QKgOnYwY3QoDxhsuQgBFCt7xW9S8uV2B/7MdQu0Hzj5llNeGD+0q5mii543j7TDFQUUvij1kQqqKNq8csbaGwuUceoGHtFHgynL9ottSq4Ky/cVfK+HL+ZXwAgUUmQ7sP5LHT4iZSfLUuz42U4MuFrivRKAAdE9OTINbfQWdi/bIRmVS2KeZacJRpX7GURFSFqb8ZB6QeK3p+IL5tbtOPUspYhYDQo93ABxHC9tHxEDuo1huKCBWvas33HDNRdD231A7Uk50NIVowDLFCwH+YoAKJ2sSEsRAuzbNlm10Rj+4XMBaVev3goag3vw3/U6oxEcOxgOWAu7bxMcJfNYRUGzx/cJ1obzd6yVcqz45D94wFiFDYVrHCBwjCQptNQZP32aLfAJ3d1ewhaNHA0o8/MAcELym3dZzDocUcNtH/1Gw8K6Oa8faAifRUgC6decqG0YcMw5EqUE5yp6lSLyLSFLYWW/tF/NVBbr1cZCTvedh7Rv7BvURHQKtTJxDx1Ldm3W3r7uiGG2r/4I4gAc5e7Xv3Fvim6cbSRqwZAg122Ury9TKTECBW8NLpz/ADAhVVAWzoLrhhf1ZUSquvwP4nMXRNu7X+oGgNwDU+SW5I0V4RKG6Ba5UuwaaqgXzK5cSIzqkJfLMwAFcrFfPvUHZUewBe7eVGQOhLW9RLuQ7kDzZWqsrVi9A19tEoa9XewnNRrRWVA7hApRABVw44NixCekg3yf9TRh0dYtbUOZzAZi8EVWDfmbxO9VTa3mNAkiqNLc9Rd4Lor8ygzBqLW1FT17WcsfmUjjaCn5Yr0zjyPM5AB8F4hENgl44Vc7EJXzUVKkaaeCIDXjzxtQRCLl5cQfaFrhVzbDTHdw+A0tbeOCo2ES7FVRIdiYDZxXxHK5SQuu4FvTtEKCF/ZZjBDWqxQl/JMsG7oH7wGA8hKqRV4EELGcchEBDBvLxRAO90ggjj7QhEt3XcDQr1YXkApcbAP9pfZ/iz/cobPjRIX68LpP+y6Tt2pi+1ieLeXcImgK8w/DctbuS2q9j/cedFAGQcArnioqtECo8Vd/uRzN/gtygFtsQV9xmgKhfxdQmqQlu/BB5FeWA88feIAbid+XcIJE8j94CxZ5hVRj0WHj7R4JGNsuMRRBSuvtFDjSaH5ldQjHxNyIslzF+peH1KAwNe/tHYKCRW7931BcauImE7IHFePr7jxCFbXLDHismUjmhVLXR8xouZAVBx3plzeVUPESdG6Bl9EdlOhb/wCYN2ui7blFfbV+7xFvlM4IDMqC5d1GHgQqoamtepoDcvs0Uhr7wR1liydLREbQFpvHw4ZdEW1l7ayNIRta2WKTPFxBNRmWHHzGACguBNV1isQmkK4IL+aw8KkDAeKjnqLKgLZvnfUIQljb4LXLpksOSxDaurSmBElJEHDw8v2EQEg3tRcBHIdt8wUl2hObjhVtFaLlNtaxDT1H0DhFq9wfGR0VBUB/UWI1vPp8BKntzZB/MEtQN8z8GRpQaGp+ySn0F0RRMagbQBzFwICgY518RinK3jo/OEY4mypZ3EQtVTW+5f0cM4PcG+CMJtN+Lg+UGW0nEYNLeXr/AGVhYmBsH1Ut293YNls8iwsu/wCksxhJUtpC5aVRdi+d394Yxa9D45sLrHJpa+PE2hmO22KZxQq0Xp0yo8dv8/7DFsR58/8A2GTBY78P9SiAedSVUgM98/tUQ/TZtlhogWgVeeOYR5SacANf3Dg2lKAc/wAk21oNA0me5fHKvezftKML0tvVXmco4pPvTo29+osVotWHinuCuwQbd0XlfGS5QQKy+DIkhHSyT5twZw8XpVf7fc4fsKlmcuy9xDGLK7PjXSRAslV58QpRridS8iulgf3i6lButC/EbdKEovFfY/EIzo3iHLxLJpWAwYgZ0Qn9ZjKIbxuElIKTzT5QDwo9gpiQ5bVltUf3A4tTB2XCCAloenHcRCAWN/1GIH5Fc7zWnHp/yHal3F6j+BFztUuc3/dRRmOeeH9xsFYnQQnE7ora+FBn3nE4V69XBSKdiE4908rz9uIGWxrUUejuJUpaObTZLFgDThXG2xfskj6CUW2Nd67QmodL3fojFWT+BTysRrho/wD0+JXPq6xRHboCikp/2ViQLEHjqpeP4iT8IOJ/F8jrRR9patflAR9XEgAUmuKpuCBStzU5Msg/sL3+4Ja2zzR/iKNRLfA8PUWqitnUcbC8YU6a3bZh6JYIlPj5ZYMQ2OHH+EBRoPFhRFvjyrmDZVDhVHUvqtgmg2gIu0EVTsFgHuL2kvarNFEzYQ/mUOqD+kaLVZcXpRYb5V/MvASqTGrFyzng4rLxee8gHKqr9uf6h0LEb48p/kQHirOK8MXcgay7gm22CrKt/cfAAjfm5VtIdNIvAKNNHuFx3IKorSvfM4p6ma61/MJzTfcEMJDWxLFb8S5lPYEVTwHT0r7R1g2janUVovENIt6ChXEbAJo/gl4wNyLWCVYaAi+vKE1aFQUe6j4VacKuRWcxVXRaBSDzdZHo2EMSrxcuvAXhdO/vLK3zYfs9MGGVKIAo9S0JrGyt5k0l1hlPNwe1w0BZpzsXDojisfccZqkS25LgCtSK2owNIt3lC/yERVke95F3xISjjyM6l4LEFcRf5IntF57Lt/USh3mr7uYAgke6afzK3lDGmPhGVZJdd85CiDLWY3f7JEBVjKU2JydQFWwyoIeeS/M5kLT2qEwADtijMah5EILQCUAQDR0WuclwWdBuP5gRPmDTqAnHCv8AmWuNmqpjNRBa3wXz5iKdhA81Laei98EAKaAr1LTkyAD6X4iNs5G/N1K2KSq03hfMZmI3dKqqCGyy6v8AkaIVGK/tNHHFpzGzQW8TdZlvuUDpLFtuaP7iiYKxXGUXF1/kz+9IcfyA8RAZ0S+fHqK4ru7ONb+8AlutVLXf7wOIRqat4r7TbLVDZXN8+bipWFlhbSuPca+vC9il04hJs9TgNL7QeNyvNWf1HJGKAp3QHniLdwSmfcSV/agoAOW1XccRYGUqX/2A4Ry9PxzLhHL5NfadTUR39opfbjYtD1Ga80IGyOFazyZf/kVkLDYMuCItGA1Ql/mYRZWCtj/EqQwPLy7i5ByE80rsmuD45lAyMQhKwPPcNBspZPv5jSBjUS/JEwFQoJ6rn9prwSFQpou/ZYr2izh5/wCR0UKSgv4TkGGsFvg/ebvy6LMG27lC1LIo8WD6gAzAhVl9nTUwTBUwPbmIMMKLB8kWJkHa2U3Lwjvabc8eoGAIhCui/wC4q4mK6Br3At831drQU9f5CJSVss5vfQXFDoqOBUi+UhpSpU6t7iU5h7g3PPME1KnFznr8RIKpNdnSIhjKF7eTGyB0uKRBcW1Crig/3IRqq2Ahe4jHgLXnomkBfs66JYyBUP8AQSs0iob8/Yg1F1i1lQgLLsLN+8D0ZiA8hAGpnd4sRKjlaWfEU0uFUjrlNHiLLpUmFBORz5LiMqN7Df28dRivsyx0fcy6dsFIPGjxfX3j3pjBeWvULCKNw+zzHn7+xhle408LGACneX49zBvoAKqOf8io9ORW6v8AiU2aljo9ffzApP4CghqlnL+/UuizALG1GCFOKFPhyXBu3noaTyY+KYNaBYXOw90+4ux2Ea2gvMotja1yQARaB7OkNi6luA8f9lMm8VFKpgKQ3VpHKop1EAKHLcYwoiNWlf2wG282HQDivMXfVFKz0J4iEpYAYXfnhjxAWtx0SDtGvRt5cuMVFEUWPPsliERiv8pQ/uSaR9xMjywsR/2O6SzQbzj8RqYhWAdvzL5As6ewQIUh5YCwrey+YioiZ0MW4rYQLT2nkhQTfm//AGzaureLn8wa5s8WRJk15D/kstA1QdL/AJ7j+xtQbrM8kTLt2NVX2YlpYNNxzONV4WY+ZuDuK2/6hNWaMBN3QzgsMVPpr7xJOKlWjl+WpRgiwMd5b147lYQKC0B84HcVc5aq19vUGV+BO0boPN1EU7JqR5YBu8u0Dw/ePF1VXk6ra9wd0QWKfAP7+J1Q0pBRWuDiBxeJ+4f/AHcBmeLeqdvxBhLKFZbydyyjUL5D0JsPS0vCAd2mjxCYVRLWd0nxKQgtF+PxLeghwOftKSvFmzl/2PXssrQObsAUClExYulosusICltFLXhGKl+HwtP5/aLFWitHNW99EWbqwcF/yYxQOQVktGuhReOalEEFo7fzAjah8MdCyAsKtvv5YI6bL4D/AEiNUdIEWtJbzT+04ojG2l8RSVSJeHE+2peoR8NSxAWFNzu4AiaKF0S3w1QcCBRSUYcXxLPNChdC679wxY1s6Xw35tjpJWKBYWn7jcvgzS2i+iZsJDttZbeasN3DH8EmOZXFxNIVRYOPbk4zY9wHw4+IrlUPOvk24qOPXv8A5q6B/MTV9dElOVF8QRN5ZoaTR+CJFRjyeql7qK0FtDfiFNZhFdiDd+5k2Y5PFDzKZ8k27GIcEVwK+KlSeUXQf/Y0VERSj+d+MhbHlwhK4CU27tY23hbZnzDHlwNs5tlhBX2QbXO4HdiTgq7eCoJiJJe+DK/+VH6c4gY9VQ5zxEbfSIKHfEyQAu/7x+lmiaD9uPvHRJRpA4lDyIwG0Gu0AvoOOf5ghSk+B/EErdfMmms4BIOJZ7REf+v8zQUAujXNRYaOjhHQXiupTd0TZ8qxEtwUxR64faAQwhQhEuh5fEAFgLK3jiL7WA2XKtYL2r44mkeXBXJXxalbKWw8ycgvWAHWMq+tXI1UW8i3SNlGpS7ypkLi1Ma+HUr2LQwdu645gKegULtX/EOnJApwAeYIWEyLwt7qr+YUC+sbiwFARLNFREpoXg89mxCnA6JWCneokGas6/wStYssPYW3nECeIYNA7niCdF+7ZWZDzOfdLb4wwP3P3ifAIWOeLovzGXUFosV5ZYnmiOx+Ibtti5GFRVN5gKqVysXATrcWo67+Jl4bS7pneJmy/a41kAcDYLKgTyInggG4ng9y1IhccjUAH5mOynqGM0+Kjc0PeorRnPZUPDW3D7miUsC+4Ar3BFr57gvejvLXxGphhi8cQh54unI2RbBUUErwas4Py97+hGJW/aCbDRuiMbx3DLPkGuR34lHHmDKiZBdMcFEW1tg6YlSm4te3mAKZjChzMSugaES8VNsKrKb0De/5h+uDgzno9Q5ykpXzzbEWrUqjKuBsu5FtDCEARqQ5DlS9Upgs/pDiSVv+SAXY2jiMASKDXuJgR7IUTarpjdBavF8JDkFgNBEml8V6g2l3v9oDIiAu/mIlPTHbHkP4ItVOY56PlGWFrSytlwY0KN8+bimBQNyqplymaFAzdksl7lo1W0pQX8xbRvgt35lRbEVvKlf/AGn/2Q==", height=300, fit=ft.BoxFit.FILL, ), diff --git a/sdk/python/packages/flet/integration_tests/examples/core/test_stack.py b/sdk/python/packages/flet/integration_tests/examples/core/test_stack.py index 9ac12b722f..84cfac06ae 100644 --- a/sdk/python/packages/flet/integration_tests/examples/core/test_stack.py +++ b/sdk/python/packages/flet/integration_tests/examples/core/test_stack.py @@ -16,7 +16,7 @@ async def test_image_for_docs(flet_app_function: ftt.FletTestApp, request): height=300, controls=[ ft.Image( - 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", 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", width=300, height=300, fit=ft.BoxFit.CONTAIN, From 48dea1329427b63ac9acc9325e2a7156c99d7913 Mon Sep 17 00:00:00 2001 From: ndonkoHenri Date: Sun, 16 Nov 2025 03:17:57 +0100 Subject: [PATCH 04/12] `enable_merge_paths=False` by default --- sdk/python/packages/flet-lottie/src/flet_lottie/lottie.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sdk/python/packages/flet-lottie/src/flet_lottie/lottie.py b/sdk/python/packages/flet-lottie/src/flet_lottie/lottie.py index cc28de9b5f..5f365c7fe6 100644 --- a/sdk/python/packages/flet-lottie/src/flet_lottie/lottie.py +++ b/sdk/python/packages/flet-lottie/src/flet_lottie/lottie.py @@ -43,7 +43,7 @@ class Lottie(ft.LayoutControl): Whether the animation should be played automatically. """ - enable_merge_paths: bool = True + enable_merge_paths: bool = False """ Whether to enable merge path support. """ From 5b3a046f58c013ed7f7e93905334193bfecb3fbb Mon Sep 17 00:00:00 2001 From: ndonkoHenri Date: Mon, 17 Nov 2025 09:37:38 +0100 Subject: [PATCH 05/12] improve URL and file path handling in image resolution --- packages/flet/lib/src/utils/images.dart | 36 +++++++++++------------- packages/flet/lib/src/utils/strings.dart | 14 ++++----- packages/flet/lib/src/utils/uri.dart | 5 ++++ 3 files changed, 26 insertions(+), 29 deletions(-) diff --git a/packages/flet/lib/src/utils/images.dart b/packages/flet/lib/src/utils/images.dart index fbb8458572..6c146c5511 100644 --- a/packages/flet/lib/src/utils/images.dart +++ b/packages/flet/lib/src/utils/images.dart @@ -5,6 +5,7 @@ import 'dart:ui'; import 'package:collection/collection.dart'; import 'package:flet/src/utils/strings.dart'; +import 'package:flet/src/utils/uri.dart'; import 'package:flutter/material.dart'; import 'package:flutter_svg/svg.dart'; @@ -105,20 +106,9 @@ extension ImageParsers on Control { } } -bool isUrlOrPath(String value) { - // URL - final urlPattern = RegExp(r'^(http:\/\/|https:\/\/|www\.)'); - if (urlPattern.hasMatch(value)) { - return true; - } - - // file path +bool isFilePath(String value) { final filePathPattern = RegExp(r'^[a-zA-Z0-9_\-/\\\.]+$'); - if (filePathPattern.hasMatch(value)) { - return true; - } - - return false; + return filePathPattern.hasMatch(value); } /// Returns a Flutter [ImageProvider] for anything supported by `resolveImageSource`. @@ -342,20 +332,26 @@ class ResolvedAssetSource { : ResolvedAssetSource(bytes: listBytes); } - // string sources (Base64, URL, asset path) + // string sources if (src is String) { src = src.trim(); - if (src.isEmpty) { - return const ResolvedAssetSource(); - } + + // empty string + if (src.isEmpty) return const ResolvedAssetSource(); + + // URL + if (isUrl(src)) return ResolvedAssetSource(uri: src); + + // asset path + if (src.contains(".")) return ResolvedAssetSource(uri: src); // Base64 if (src.isBase64) { - final bytes = base64Decode(src.stripBase64DataHeader()); - return ResolvedAssetSource(bytes: bytes); + final srcAsBytes = base64Decode(src.stripBase64DataHeader()); + return ResolvedAssetSource(bytes: srcAsBytes); } - // URL or asset path + // asset path return ResolvedAssetSource(uri: src); } diff --git a/packages/flet/lib/src/utils/strings.dart b/packages/flet/lib/src/utils/strings.dart index e3bd3c7361..b847a008cd 100644 --- a/packages/flet/lib/src/utils/strings.dart +++ b/packages/flet/lib/src/utils/strings.dart @@ -18,18 +18,14 @@ extension StringExtension on String { /// Returns `true` if the string contains valid Base64-encoded data. /// - /// The string is first cleaned (data URI prefixes removed, whitespace - /// stripped) and then normalized using [base64.normalize], which validates - /// characters, fixes padding, and ensures proper length. + /// The string is first cleaned by removing data URI prefixes + /// (using [stripBase64DataHeader]) if present, then validated by + /// attempting to decode it using [base64.decode]. /// - /// If normalization and subsequent decoding via [base64.decode] both - /// succeed, the string is considered valid Base64. + /// If decoding succeeds, the string is considered valid Base64. bool get isBase64 { - var s = stripBase64DataHeader().replaceAll(RegExp(r'\s+'), ''); - try { - final normalized = base64.normalize(s); - base64.decode(normalized); + base64.decode(stripBase64DataHeader()); return true; } catch (_) { return false; diff --git a/packages/flet/lib/src/utils/uri.dart b/packages/flet/lib/src/utils/uri.dart index 2ad5296a9e..659322437c 100644 --- a/packages/flet/lib/src/utils/uri.dart +++ b/packages/flet/lib/src/utils/uri.dart @@ -30,3 +30,8 @@ bool isLocalhost(Uri uri) { bool isUdsPath(Uri address) { return !address.hasScheme; } + +bool isUrl(String value) { + final urlPattern = RegExp(r'^(https?:\/\/|www\.)'); + return urlPattern.hasMatch(value); +} From 96108bbd0119ae85e07e14300fa1476622e9ef45 Mon Sep 17 00:00:00 2001 From: ndonkoHenri Date: Mon, 17 Nov 2025 09:38:12 +0100 Subject: [PATCH 06/12] `Slider`: pass value to change event --- packages/flet/lib/src/controls/slider.dart | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/packages/flet/lib/src/controls/slider.dart b/packages/flet/lib/src/controls/slider.dart index 6a774736d1..4d0eb5c508 100644 --- a/packages/flet/lib/src/controls/slider.dart +++ b/packages/flet/lib/src/controls/slider.dart @@ -44,7 +44,7 @@ class _SliderControlState extends State { _value = value; var props = {"value": value}; widget.control.updateProperties(props, notify: true); - widget.control.triggerEvent("change"); + widget.control.triggerEvent("change", value); } @override From 9f0acc5d75f93338b171e47327379b20be53ccd6 Mon Sep 17 00:00:00 2001 From: ndonkoHenri Date: Fri, 21 Nov 2025 13:13:31 +0100 Subject: [PATCH 07/12] Refactor image source handling in controls and improve image provider methods --- packages/flet/lib/src/controls/canvas.dart | 25 ++--- .../flet/lib/src/controls/circle_avatar.dart | 4 +- .../lib/src/controls/cupertino_switch.dart | 13 +-- packages/flet/lib/src/utils/box.dart | 7 +- packages/flet/lib/src/utils/images.dart | 104 ++++++++++-------- .../controls/cupertino/cupertino_switch.py | 19 +++- 6 files changed, 94 insertions(+), 78 deletions(-) diff --git a/packages/flet/lib/src/controls/canvas.dart b/packages/flet/lib/src/controls/canvas.dart index a7212ef3de..67e28d909c 100644 --- a/packages/flet/lib/src/controls/canvas.dart +++ b/packages/flet/lib/src/controls/canvas.dart @@ -13,7 +13,6 @@ import 'package:flutter/material.dart'; import 'package:http/http.dart' as http; import '../models/control.dart'; -import '../utils/box.dart'; import '../utils/dash_path.dart'; import '../utils/hashing.dart'; import '../utils/images.dart'; @@ -539,19 +538,19 @@ Future loadCanvasImage(Control shape) async { final completer = Completer(); shape.properties["_loading"] = completer; - final resolved = ResolvedAssetSource.from(shape.get("src")); + final src = shape.getSrc("src"); try { Uint8List bytes; - if (resolved.error != null) { - throw Exception("Error decoding src: ${resolved.error}"); + if (src.error != null) { + throw Exception("Error decoding src: ${src.error}"); } - if (resolved.hasBytes) { - bytes = resolved.bytes!; - } else if (resolved.hasUri) { - var assetSrc = shape.backend.getAssetSource(resolved.uri!); + if (src.hasBytes) { + bytes = src.bytes!; + } else if (src.hasUri) { + var assetSrc = shape.backend.getAssetSource(src.uri!); if (assetSrc.isFile) { final file = File(assetSrc.path); bytes = await file.readAsBytes(); @@ -583,12 +582,12 @@ Future loadCanvasImage(Control shape) async { /// Produces a fast hash for the `src` so Canvas can tell when it needs to /// refetch the image. Inline strings and bytes use FNV to avoid massive hashes. int getImageHash(Control shape) { - final resolved = ResolvedAssetSource.from(shape.get("src")); - if (resolved.hasUri) { - return resolved.uri!.hashCode; + final src = shape.getSrc("src"); + if (src.hasUri) { + return src.uri!.hashCode; } - if (resolved.hasBytes) { - return fnv1aHash(resolved.bytes!); + if (src.hasBytes) { + return fnv1aHash(src.bytes!); } return 0; } diff --git a/packages/flet/lib/src/controls/circle_avatar.dart b/packages/flet/lib/src/controls/circle_avatar.dart index ab20f93c88..402374af66 100644 --- a/packages/flet/lib/src/controls/circle_avatar.dart +++ b/packages/flet/lib/src/controls/circle_avatar.dart @@ -14,9 +14,9 @@ class CircleAvatarControl extends StatelessWidget { debugPrint("CircleAvatar build: ${control.id}"); var foregroundImage = - getImageProvider(context, control.get("foreground_image_src")); + control.getImageProvider("foreground_image_src", context); var backgroundImage = - getImageProvider(context, control.get("background_image_src")); + control.getImageProvider("background_image_src", context); var avatar = CircleAvatar( foregroundImage: foregroundImage, diff --git a/packages/flet/lib/src/controls/cupertino_switch.dart b/packages/flet/lib/src/controls/cupertino_switch.dart index c85fa9a62f..9a8abf63ff 100644 --- a/packages/flet/lib/src/controls/cupertino_switch.dart +++ b/packages/flet/lib/src/controls/cupertino_switch.dart @@ -85,10 +85,10 @@ class _CupertinoSwitchControlState extends State { var materialThumbColor = widget.control.getWidgetStateColor("thumb_color", theme); - // var materialTrackColor = - // widget.control.getWidgetStateColor("track_color", theme); - var activeThumbImage = widget.control.getString("active_thumb_image"); - var inactiveThumbImage = widget.control.getString("inactive_thumb_image"); + var activeThumbImage = + widget.control.getImageProvider("active_thumb_image_src", context); + var inactiveThumbImage = + widget.control.getImageProvider("inactive_thumb_image_src", context); var swtch = CupertinoSwitch( autofocus: autofocus, @@ -96,7 +96,6 @@ class _CupertinoSwitchControlState extends State { activeTrackColor: widget.control.getColor("active_track_color", context), thumbColor: materialThumbColor?.resolve({}), - //inactiveTrackColor: materialTrackColor?.resolve({}), focusColor: widget.control.getColor("focusColor", context), inactiveTrackColor: widget.control.getColor("inactive_track_color", context), @@ -107,8 +106,8 @@ class _CupertinoSwitchControlState extends State { trackOutlineWidth: widget.control.getWidgetStateDouble("track_outline_width"), thumbIcon: widget.control.getWidgetStateIcon("thumb_icon", theme), - inactiveThumbImage: getImageProvider(context, inactiveThumbImage), - activeThumbImage: getImageProvider(context, activeThumbImage), + inactiveThumbImage: inactiveThumbImage, + activeThumbImage: activeThumbImage, onActiveThumbImageError: activeThumbImage == null ? null : (Object exception, StackTrace? stackTrace) { diff --git a/packages/flet/lib/src/utils/box.dart b/packages/flet/lib/src/utils/box.dart index ee6460d4e5..a76e47b498 100644 --- a/packages/flet/lib/src/utils/box.dart +++ b/packages/flet/lib/src/utils/box.dart @@ -96,10 +96,9 @@ DecorationImage? parseDecorationImage(dynamic value, BuildContext context, if (value == null) return defaultValue; var src = value["src"]; - ImageProvider? image = getImageProvider(context, src); - if (image == null) { - return defaultValue; - } + ImageProvider? image = parseImageProvider(src, context); + if (image == null) return defaultValue; + return DecorationImage( image: image, colorFilter: parseColorFilter(value["color_filter"], Theme.of(context)), diff --git a/packages/flet/lib/src/utils/images.dart b/packages/flet/lib/src/utils/images.dart index 6c146c5511..404e04b81d 100644 --- a/packages/flet/lib/src/utils/images.dart +++ b/packages/flet/lib/src/utils/images.dart @@ -77,60 +77,30 @@ FilterQuality? parseFilterQuality(String? value, defaultValue; } -extension ImageParsers on Control { - ImageRepeat? getImageRepeat(String propertyName, - [ImageRepeat? defaultValue]) { - return parseImageRepeat(get(propertyName), defaultValue); - } - - BlendMode? getBlendMode(String propertyName, [BlendMode? defaultValue]) { - return parseBlendMode(get(propertyName), defaultValue); - } - - BoxFit? getBoxFit(String propertyName, [BoxFit? defaultValue]) { - return parseBoxFit(get(propertyName), defaultValue); - } - - ImageFilter? getBlur(String propertyName, [ImageFilter? defaultValue]) { - return parseBlur(get(propertyName), defaultValue); - } - - ColorFilter? getColorFilter(String propertyName, ThemeData theme, - [ColorFilter? defaultValue]) { - return parseColorFilter(get(propertyName), theme, defaultValue); - } - - FilterQuality? getFilterQuality(String propertyName, - [FilterQuality? defaultValue]) { - return parseFilterQuality(get(propertyName), defaultValue); - } -} +/// Returns a Flutter [ImageProvider] +/// for anything supported by [ResolvedAssetSource]. +ImageProvider? parseImageProvider(dynamic src, BuildContext context) { + final resolvedSrc = + src is ResolvedAssetSource ? src : ResolvedAssetSource.from(src); -bool isFilePath(String value) { - final filePathPattern = RegExp(r'^[a-zA-Z0-9_\-/\\\.]+$'); - return filePathPattern.hasMatch(value); -} - -/// Returns a Flutter [ImageProvider] for anything supported by `resolveImageSource`. -ImageProvider? getImageProvider(BuildContext context, dynamic src) { - final resolved = ResolvedAssetSource.from(src); - - if (resolved.error != null) { - debugPrint("getImageProvider failed decoding src: ${resolved.error}"); + if (resolvedSrc.error != null) { + debugPrint("getImageProvider failed decoding src: ${resolvedSrc.error}"); return null; } - if (resolved.hasBytes) { + // bytes + if (resolvedSrc.hasBytes) { try { - return MemoryImage(resolved.bytes!); + return MemoryImage(resolvedSrc.bytes!); } catch (ex) { debugPrint("getImageProvider failed decoding bytes"); return null; } } - if (resolved.hasUri) { - var assetSrc = FletBackend.of(context).getAssetSource(resolved.uri!); + // URL or asset path + if (resolvedSrc.hasUri) { + var assetSrc = FletBackend.of(context).getAssetSource(resolvedSrc.uri!); return assetSrc.isFile ? getFileImageProvider(assetSrc.path) : NetworkImage(assetSrc.path); @@ -346,10 +316,10 @@ class ResolvedAssetSource { if (src.contains(".")) return ResolvedAssetSource(uri: src); // Base64 - if (src.isBase64) { - final srcAsBytes = base64Decode(src.stripBase64DataHeader()); + try { + final srcAsBytes = base64.decode(src.stripBase64DataHeader()); return ResolvedAssetSource(bytes: srcAsBytes); - } + } catch (_) {} // asset path return ResolvedAssetSource(uri: src); @@ -374,3 +344,45 @@ Uint8List? _bytesFromList(dynamic value) { return null; } + +bool isFilePath(String value) { + final filePathPattern = RegExp(r'^[a-zA-Z0-9_\-/\\\.]+$'); + return filePathPattern.hasMatch(value); +} + +extension ImageParsers on Control { + ImageRepeat? getImageRepeat(String propertyName, + [ImageRepeat? defaultValue]) { + return parseImageRepeat(get(propertyName), defaultValue); + } + + BlendMode? getBlendMode(String propertyName, [BlendMode? defaultValue]) { + return parseBlendMode(get(propertyName), defaultValue); + } + + BoxFit? getBoxFit(String propertyName, [BoxFit? defaultValue]) { + return parseBoxFit(get(propertyName), defaultValue); + } + + ImageFilter? getBlur(String propertyName, [ImageFilter? defaultValue]) { + return parseBlur(get(propertyName), defaultValue); + } + + ColorFilter? getColorFilter(String propertyName, ThemeData theme, + [ColorFilter? defaultValue]) { + return parseColorFilter(get(propertyName), theme, defaultValue); + } + + FilterQuality? getFilterQuality(String propertyName, + [FilterQuality? defaultValue]) { + return parseFilterQuality(get(propertyName), defaultValue); + } + + ResolvedAssetSource getSrc(String propertyName) { + return ResolvedAssetSource.from(get(propertyName)); + } + + ImageProvider? getImageProvider(String propertyName, BuildContext context) { + return parseImageProvider(get(propertyName), context); + } +} diff --git a/sdk/python/packages/flet/src/flet/controls/cupertino/cupertino_switch.py b/sdk/python/packages/flet/src/flet/controls/cupertino/cupertino_switch.py index 42340fba87..fb71001b9d 100644 --- a/sdk/python/packages/flet/src/flet/controls/cupertino/cupertino_switch.py +++ b/sdk/python/packages/flet/src/flet/controls/cupertino/cupertino_switch.py @@ -1,4 +1,4 @@ -from typing import Optional +from typing import Optional, Union from flet.controls.base_control import control from flet.controls.control_event import ControlEventHandler @@ -21,8 +21,9 @@ class CupertinoSwitch(LayoutControl): Used to toggle the on/off state of a single setting. + Example: ```python - ft.CupertinoSwitch(value=True) + ft.CupertinoSwitch(value=True) ``` """ @@ -69,18 +70,24 @@ class CupertinoSwitch(LayoutControl): The color to use for the accessibility label when the switch is off. """ - active_thumb_image: Optional[str] = None + active_thumb_image_src: Optional[Union[str, bytes]] = None """ An image to use on the thumb of this switch when the switch is on. - Can be a local file path or URL. + It can be one of the following: + - A URL or local [asset file](https://flet.dev/docs/cookbook/assets) path; + - A base64 string; + - Raw bytes. """ - inactive_thumb_image: Optional[str] = None + inactive_thumb_image_src: Optional[Union[str, bytes]] = None """ An image to use on the thumb of this switch when the switch is off. - Can be a local file path or URL. + It can be one of the following: + - A URL or local [asset file](https://flet.dev/docs/cookbook/assets) path; + - A base64 string; + - Raw bytes. """ active_track_color: Optional[ColorValue] = None From a31b0a0dfc50cabdfd4cfbb8bc2aa621abf13ced Mon Sep 17 00:00:00 2001 From: ndonkoHenri Date: Fri, 21 Nov 2025 13:53:48 +0100 Subject: [PATCH 08/12] more tests --- .../controls/core/test_image.py | 8 +- .../golden/macos/cupertino_switch/active.png | Bin 0 -> 9025 bytes .../active_thumb_image_src.png | Bin 0 -> 19610 bytes .../golden/macos/cupertino_switch/false.png | Bin 10476 -> 0 bytes .../macos/cupertino_switch/inactive.png | Bin 0 -> 9630 bytes .../inactive_thumb_image_src.png | Bin 0 -> 20367 bytes .../golden/macos/cupertino_switch/true.png | Bin 9778 -> 0 bytes .../cupertino/test_cupertino_switch.py | 70 +++++++++++++++--- .../circle_avatar/background_image_src.png | Bin 0 -> 33344 bytes .../macos/circle_avatar/circle_avatar.png | Bin 1507 -> 0 bytes .../circle_avatar/foreground_image_src.png | Bin 0 -> 33344 bytes .../circle_avatar/icon_circle_avatar.png | Bin 1870 -> 0 bytes .../macos/circle_avatar/icon_content.png | Bin 0 -> 1866 bytes .../macos/circle_avatar/text_content.png | Bin 0 -> 2734 bytes .../controls/material/test_circle_avatar.py | 58 ++++++++++++--- 15 files changed, 114 insertions(+), 22 deletions(-) create mode 100644 sdk/python/packages/flet/integration_tests/controls/cupertino/golden/macos/cupertino_switch/active.png create mode 100644 sdk/python/packages/flet/integration_tests/controls/cupertino/golden/macos/cupertino_switch/active_thumb_image_src.png delete mode 100644 sdk/python/packages/flet/integration_tests/controls/cupertino/golden/macos/cupertino_switch/false.png create mode 100644 sdk/python/packages/flet/integration_tests/controls/cupertino/golden/macos/cupertino_switch/inactive.png create mode 100644 sdk/python/packages/flet/integration_tests/controls/cupertino/golden/macos/cupertino_switch/inactive_thumb_image_src.png delete mode 100644 sdk/python/packages/flet/integration_tests/controls/cupertino/golden/macos/cupertino_switch/true.png create mode 100644 sdk/python/packages/flet/integration_tests/controls/material/golden/macos/circle_avatar/background_image_src.png delete mode 100644 sdk/python/packages/flet/integration_tests/controls/material/golden/macos/circle_avatar/circle_avatar.png create mode 100644 sdk/python/packages/flet/integration_tests/controls/material/golden/macos/circle_avatar/foreground_image_src.png delete mode 100644 sdk/python/packages/flet/integration_tests/controls/material/golden/macos/circle_avatar/icon_circle_avatar.png create mode 100644 sdk/python/packages/flet/integration_tests/controls/material/golden/macos/circle_avatar/icon_content.png create mode 100644 sdk/python/packages/flet/integration_tests/controls/material/golden/macos/circle_avatar/text_content.png diff --git a/sdk/python/packages/flet/integration_tests/controls/core/test_image.py b/sdk/python/packages/flet/integration_tests/controls/core/test_image.py index 478c4873c9..dfd8a60986 100644 --- a/sdk/python/packages/flet/integration_tests/controls/core/test_image.py +++ b/sdk/python/packages/flet/integration_tests/controls/core/test_image.py @@ -5,7 +5,7 @@ import flet as ft import flet.testing as ftt -base64_string = "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" # noqa: E501 +base64_image = "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" # noqa: E501 @pytest.mark.asyncio(loop_scope="module") @@ -28,7 +28,7 @@ async def test_src_base64(flet_app: ftt.FletTestApp, request): await flet_app.assert_control_screenshot( request.node.name, ft.Image( - src=base64_string, + src=base64_image, width=100, height=100, ), @@ -87,12 +87,12 @@ async def test_src_svg_string(flet_app: ftt.FletTestApp, request): @pytest.mark.asyncio(loop_scope="module") async def test_src_bytes(flet_app: ftt.FletTestApp, request): # Decode the Base64 string into bytes - image_bytes = base64.b64decode(base64_string) + bytes_image = base64.b64decode(base64_image) await flet_app.assert_control_screenshot( request.node.name, ft.Image( - src=image_bytes, + src=bytes_image, width=100, height=100, ), diff --git a/sdk/python/packages/flet/integration_tests/controls/cupertino/golden/macos/cupertino_switch/active.png b/sdk/python/packages/flet/integration_tests/controls/cupertino/golden/macos/cupertino_switch/active.png new file mode 100644 index 0000000000000000000000000000000000000000..7a9ab956f9484a4f2a3ae0b7730d5316e493457a GIT binary patch literal 9025 zcmb7q1y>zC*Y-KMI~4cgTHM{8;#S<<-5m6y#U?c%VSgnAQH#Ml1!bkuv5r!lOZ@| zH3zENrZi5QR-v8rm#Zrp=c^l!=G-gn!wk->=PQ=5XXc7@7>OgJam3GpgUK=|lSX>U z(2#ic9{uj)d9F;quw}@YQ^EVM*QA-}K0oub8FfA81fq$;k%j(0SBp|&UY9P_k6u7F zkeM8ayl@(j{AEE#o;rwyuJNH|KK{Yyrdcfbv@XujmE}^3)S60?k-b}qCyudrhL3=x zrS5Y|5-g2Bde$xV{f@$lQACdXcP-`r-fp+-XLS6Y`WHMc9J&a7yy^oSN_Hb>m?82 z6$(8v`ScJY{SqbF`=V2->s7hjg9iMO$b`?^@EW`IK3$6W=KvbH_r+(qYE_v^Z)){Q zj&!^RMaI6vT_)dhPr7JCDx;%fUwK?Ee6Lm>K;T5RJt2=fVO7ME^13q|$y~GXyr58% z?<9a6f_9c~(YQQpN@)4!&;2_ek&^I-Qu~#LFe?B4q-P@Ui=Wm+#%1((#%`FQQ!yR{ zq!)-q%@%^>hoMt`8NU6ZXQ5-Z5dP=p>TdFSXI;7a8`frR5m^->8cP@otw&rp|1kBQ z_;o@Kvh6>6g;&K=YPnQ*?WY;G31aS}$Vxd67EIB>G=$M&4sHBJq<4CJv@kM$JNPZ> z({jq4>*YtE>*07Uq#12|i~Sw4T2(_#KkBV;La|Feboi}0Ro)ejx#6q-7S zo+Z&Zkrww62!>8mdzQlyQu84S&^vUu*At_wE|Mw?T)`BB#=Nwc=l{&v6l*+jl@b6O zLjp_IIVjXgDO>$S-*{w|Jux=P8z`}_IE?(Q3jm!oY{9gHtAj#3$gEK{n2Fq8kW7)i zKtvs}O@A)vI?bkyEcu~2D~sZ7%9K$J28tm%G?+OR^Q`hFa_%)YNaW0j*cQ zu>?tJtv|MLxu{SP_p_susN?#xvhJa#^;CH#pJeB?KXE)XcQSm|20Qow9OnU8#KmYc zC{v4rpqAO-fAm|Fn!JGfWcY_cj~db0#py2uHW-TZZpLS^&K=F8F-0UKu+l;4%r4_E z*`V%Mb(#7P=RvnthM&vcrGJmZt(f|x$j>^ID_cH}4I5F5@LBVh7s5rwxqg`Q^$yZ- zR!8v2wv)&%?ZT6Yz+J!$%nu0Rw9JN2=awsNdm#mJN*`jD5jYZjc!&kYL(W)JtLRF3 z?@kguj1A(i6s!%+^=<^r>tR#Q6(H}*T-@=w&iDIco#5~58F6fQ*TtLdA1mUjG>BMw z0M%5m6(Ne}hh^djwoS_~`5sW$?VwSX9vxeE>~Xm5~WlvGG1Y&b6ycxcgL zdttCB73Ys;<`KqlF`69ddd|@1jy-)u>n-fZ0?@F9hF6{|m*3@jf%M!0sMnPZ@0Vxa zP~G%C07F{guU#!&T6IgLaQB!zw|m`w_hCDyqBFFxE{=b#FKhXP;ODO*CHlQPm%VFY zx`I%&&;S=bHl~%G^~=8zVnkUVh?AJ)46kANlyxFqZavv#xNfSg#eUDupv_Gm0yG~= z3~Q*hJhL(!MW|M8F)1~{0QV5TQk4Y{yLx?Fsg69PM^Iz^!|o9qGBd#h&Hmx4Z!98{ zjLX-H%oz#7wWa)G!U4ri{=eBO%EIFWbtSbb7Y>|o;97haXoct@>}iz4iH&sEyu^|x zj<-o;0Dy5?xUx%NhV=uX$a!R_wLUx$QaN?e5v}=#&S*CO_19eb7bAvLgQpC6=yVP_ z=2xT=d0a$GWSF$v*LV*`lB4twochGDNh+7a?I=Ov`5Wd z=SkBGAXhz4-?GAQ(>2Su!7dT@-U0D90TK=9IEH_+QB-0TH%I5eX;Tp@Y_H%eAM~P; zcBv>g+BJ70@jkNS?4@WH<^kLZc^p>w?j}Tdls+Y{z(_~Op*3z;iV$4ggyrB+Ra2v& ze3Q-7V6o4wi)s%r!HHb6w=NYx4V>^M1R%ul2T%_2K+Qb(t+k4whoBjII#D)f8GMNp zS^xTDtoxr+IRX!N=|N%Zv{L#GLIF_v(|Ar?+WIPFFa+8IL?H09RuUcE(7wA4m)6*N z*xVx^2#5w7P)>-bIDM_x6Lfs%(>Z?Fouvd*

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a/sdk/python/packages/flet/integration_tests/controls/cupertino/test_cupertino_switch.py b/sdk/python/packages/flet/integration_tests/controls/cupertino/test_cupertino_switch.py index 2281e8451c..4068ed58d3 100644 --- a/sdk/python/packages/flet/integration_tests/controls/cupertino/test_cupertino_switch.py +++ b/sdk/python/packages/flet/integration_tests/controls/cupertino/test_cupertino_switch.py @@ -1,26 +1,78 @@ +import base64 + import pytest import flet as ft import flet.testing as ftt -sw = ft.CupertinoSwitch( - label="Cupertino Switch", - value=True, -) +base64_image = "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" # noqa: E501 + + +@pytest.mark.asyncio(loop_scope="module") +async def test_active(flet_app: ftt.FletTestApp, request): + await flet_app.assert_control_screenshot( + request.node.name, + ft.CupertinoSwitch( + label="Cupertino Switch", + value=True, + width=300, + ), + ) + + +@pytest.mark.asyncio(loop_scope="module") +async def test_inactive(flet_app: ftt.FletTestApp, request): + await flet_app.assert_control_screenshot( + request.node.name, + ft.CupertinoSwitch( + label="Cupertino Switch", + value=False, + width=300, + ), + ) @pytest.mark.asyncio(loop_scope="module") -async def test_true(flet_app: ftt.FletTestApp, request): +async def test_active_thumb_image_src(flet_app: ftt.FletTestApp, request): await flet_app.assert_control_screenshot( request.node.name, - sw, + ft.Row( + width=300, + controls=[ + ft.CupertinoSwitch(value=True, active_thumb_image_src="/minion.png"), + ft.CupertinoSwitch(value=True, active_thumb_image_src=base64_image), + ft.CupertinoSwitch( + value=True, active_thumb_image_src=base64.b64decode(base64_image) + ), + ft.CupertinoSwitch( + value=True, + active_thumb_image_src="https://avatars.githubusercontent.com/u/5041459?s=88&v=4", # noqa: E501 + ), + ], + ), + pump_times=1, + pump_duration=1000, ) @pytest.mark.asyncio(loop_scope="module") -async def test_false(flet_app: ftt.FletTestApp, request): - sw.value = False +async def test_inactive_thumb_image_src(flet_app: ftt.FletTestApp, request): await flet_app.assert_control_screenshot( request.node.name, - sw, + ft.Row( + width=300, + controls=[ + ft.CupertinoSwitch(value=False, inactive_thumb_image_src="/minion.png"), + ft.CupertinoSwitch(value=False, inactive_thumb_image_src=base64_image), + ft.CupertinoSwitch( + value=False, inactive_thumb_image_src=base64.b64decode(base64_image) + ), + ft.CupertinoSwitch( + value=False, + inactive_thumb_image_src="https://avatars.githubusercontent.com/u/5041459?s=88&v=4", # noqa: E501 + ), + ], + ), + pump_times=1, + pump_duration=1000, ) diff --git 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"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" # noqa: E501 + -@pytest.mark.skip( - reason="temporarily disabled due to reference image generation failure" -) @pytest.mark.asyncio(loop_scope="module") -async def test_circle_avatar(flet_app: ftt.FletTestApp, request): - ca = ft.CircleAvatar( - foreground_image_src="https://avatars.githubusercontent.com/u/5041459?s=88&v=4", - content=ft.Text("FF"), +async def test_text_content(flet_app: ftt.FletTestApp, request): + await flet_app.assert_control_screenshot( + request.node.name, + ft.CircleAvatar(content=ft.Text("Text")), ) - await flet_app.assert_control_screenshot(request.node.name, ca) @pytest.mark.asyncio(loop_scope="module") -async def test_icon_circle_avatar(flet_app: ftt.FletTestApp, request): +async def test_icon_content(flet_app: ftt.FletTestApp, request): await flet_app.assert_control_screenshot( request.node.name, ft.CircleAvatar(content=ft.Icon(ft.Icons.ABC)), ) + + +@pytest.mark.asyncio(loop_scope="module") +async def test_foreground_image_src(flet_app: ftt.FletTestApp, request): + await flet_app.assert_control_screenshot( + request.node.name, + ft.Row( + width=300, + controls=[ + ft.CircleAvatar(foreground_image_src="/minion.png"), + ft.CircleAvatar(foreground_image_src=base64_image), + ft.CircleAvatar(foreground_image_src=base64.b64decode(base64_image)), + ft.CircleAvatar( + foreground_image_src="https://avatars.githubusercontent.com/u/5041459?s=88&v=4" # noqa: E501 + ), + ], + ), + pump_times=1, + pump_duration=1000, + ) + + +@pytest.mark.asyncio(loop_scope="module") +async def test_background_image_src(flet_app: ftt.FletTestApp, request): + await flet_app.assert_control_screenshot( + request.node.name, + ft.Row( + width=300, + controls=[ + ft.CircleAvatar(background_image_src="/minion.png"), + ft.CircleAvatar(background_image_src=base64_image), + ft.CircleAvatar(background_image_src=base64.b64decode(base64_image)), + ft.CircleAvatar( + background_image_src="https://avatars.githubusercontent.com/u/5041459?s=88&v=4" # noqa: E501 + ), + ], + ), + pump_times=1, + pump_duration=1000, + ) From c721e861c551107913550c59870092c8defb945e Mon Sep 17 00:00:00 2001 From: ndonkoHenri Date: Sat, 22 Nov 2025 01:58:49 +0100 Subject: [PATCH 09/12] Fix image source parameter in canvas test --- .../flet/integration_tests/controls/core/test_canvas.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sdk/python/packages/flet/integration_tests/controls/core/test_canvas.py b/sdk/python/packages/flet/integration_tests/controls/core/test_canvas.py index 56e6b6d284..2b385b984b 100644 --- a/sdk/python/packages/flet/integration_tests/controls/core/test_canvas.py +++ b/sdk/python/packages/flet/integration_tests/controls/core/test_canvas.py @@ -692,7 +692,7 @@ async def test_draw_bytes_image(flet_app: ftt.FletTestApp, request): await flet_app.assert_control_screenshot( request.node.name, fc.Canvas( - [fc.Image(src_bytes=image_bytes, x=10, y=10)], + [fc.Image(src=image_bytes, x=10, y=10)], width=120, height=120, ), From d16cf2eaca8f6a46da01e9aa4a426a39c709a258 Mon Sep 17 00:00:00 2001 From: ndonkoHenri Date: Sat, 22 Nov 2025 02:01:08 +0100 Subject: [PATCH 10/12] fix #5615: Refactor DashedStrokePattern validation and improve segments handling --- .../packages/flet-map/src/flet_map/types.py | 55 ++++++++++++------- .../flutter/flet_map/lib/src/utils/map.dart | 4 +- 2 files changed, 39 insertions(+), 20 deletions(-) diff --git a/sdk/python/packages/flet-map/src/flet_map/types.py b/sdk/python/packages/flet-map/src/flet_map/types.py index 5c05b44f25..90418851ae 100644 --- a/sdk/python/packages/flet-map/src/flet_map/types.py +++ b/sdk/python/packages/flet-map/src/flet_map/types.py @@ -175,34 +175,51 @@ def __post_init__(self): class DashedStrokePattern(StrokePattern): """ A stroke pattern of alternating dashes and gaps, defined by [`segments`][(c).]. - - Raises: - ValueError: If [`segments`][(c).] does not contain at least two items, - or has an odd length. """ - segments: list[ft.Number] = field(default_factory=list) + segments: list[ft.Number] """ - A list of alternating dash and gap lengths, in pixels. + A list of even length with a minimum of 2, in the form of + `[a₁, b₁, (a₂, b₂, ...)]`, where `a` should be the length of segments in + 'units', and `b` the length of the space after each segment in units. Both + values must be strictly positive. - Raises: - ValueError: If the list does not contain at least two items, - or if its length is not even. - """ + 'Units' refers to pixels, unless the pattern has been scaled due to the + use of [`pattern_fit`][(c).] [`PatternFit.SCALE_UP`][flet.]. + + If more than two items are specified, then each segments will + alternate/iterate through the values. + + For example, `[50, 10, 10, 10]` will cause: + + * a segment of length 50px + * followed by a space of 10px + * followed by a segment of length 10px + * followed by a space of 10px + * followed by a segment of length of 50px + * followed by a space of 10px + * and so on ... + + Raises: + ValueError: If the list does not contain at least two items, + or if its length is not even. + """ pattern_fit: PatternFit = PatternFit.SCALE_UP """ - Determines how this stroke pattern should be fit to a line when their lengths - are not equal or multiples. - """ + Determines how this stroke pattern should be fit to a line when their lengths + are not equal or multiples. + """ + + def __setattr__(self, name, value): + if name == "segments": + if len(value) < 2: + raise ValueError("segments must contain at least two items") + if len(value) % 2 != 0: + raise ValueError("segments length must be even") + super().__setattr__(name, value) def __post_init__(self): - if len(self.segments) < 2: - raise ValueError( - f"segments must contain at least two items, got {len(self.segments)}" - ) - if len(self.segments) % 2 != 0: - raise ValueError("segments must have an even length") self._type = "dashed" diff --git a/sdk/python/packages/flet-map/src/flutter/flet_map/lib/src/utils/map.dart b/sdk/python/packages/flet-map/src/flutter/flet_map/lib/src/utils/map.dart index a5448acb67..b723c407de 100644 --- a/sdk/python/packages/flet-map/src/flutter/flet_map/lib/src/utils/map.dart +++ b/sdk/python/packages/flet-map/src/flutter/flet_map/lib/src/utils/map.dart @@ -44,12 +44,14 @@ StrokePattern? parseStrokePattern(dynamic value, } else if (type == 'solid') { return const StrokePattern.solid(); } else if (type == 'dashed') { - var segments = value['segments'] ?? []; + var segments = value['segments'] as List; + return StrokePattern.dashed( patternFit: parsePatternFit(value['pattern_fit'], PatternFit.scaleUp)!, segments: segments.map((e) => parseDouble(e)).nonNulls.toList(), ); } + return defaultValue; } From 1d2ad5968c682eaef300f2547ece1d2b70ecebc5 Mon Sep 17 00:00:00 2001 From: ndonkoHenri Date: Sat, 22 Nov 2025 02:01:29 +0100 Subject: [PATCH 11/12] Add tip for scrollable content in bottom sheet documentation --- .../flet/src/flet/controls/material/bottom_sheet.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/sdk/python/packages/flet/src/flet/controls/material/bottom_sheet.py b/sdk/python/packages/flet/src/flet/controls/material/bottom_sheet.py index 6a0be406e1..2b33874470 100644 --- a/sdk/python/packages/flet/src/flet/controls/material/bottom_sheet.py +++ b/sdk/python/packages/flet/src/flet/controls/material/bottom_sheet.py @@ -40,6 +40,12 @@ class BottomSheet(DialogControl): content: Control """ The content of this bottom sheet. + + Tip: + Set [`scrollable`][(c).] `True` if this content is or contains scrollable + controls (e.g., [`ListView`][flet.], [`GridView`][flet.]) or you plan to + `expand` the [`content`][(c).] or give it a custom height, else the bottom + sheet might ignore the custom height and stop around mid-screen. """ elevation: Optional[Number] = None From a96fa446171e54bb239abe4be73cbb18e53622a9 Mon Sep 17 00:00:00 2001 From: Feodor Fitsner Date: Sat, 22 Nov 2025 09:23:32 -0800 Subject: [PATCH 12/12] Refactor asset source resolution and minor code cleanup Replaced ResolvedAssetSource.from(...get('src')) with getSrc('src') in audio and lottie Dart files for improved asset source resolution. Cleaned up argument formatting and improved readability in lottie.dart. Updated brush.py to use src_bytes instead of src for file saving. Removed unused page argument and debug print statements from image_switch_buffered.py. --- .../image_switch_buffered.py | 8 +-- sdk/python/examples/controls/canvas/brush.py | 2 +- .../src/flutter/flet_audio/lib/src/audio.dart | 2 +- .../flutter/flet_lottie/lib/src/lottie.dart | 65 ++++++++++--------- 4 files changed, 40 insertions(+), 37 deletions(-) diff --git a/sdk/python/examples/controls/animated_switcher/image_switch_buffered.py b/sdk/python/examples/controls/animated_switcher/image_switch_buffered.py index 0190e4dc16..203b732c5d 100644 --- a/sdk/python/examples/controls/animated_switcher/image_switch_buffered.py +++ b/sdk/python/examples/controls/animated_switcher/image_switch_buffered.py @@ -9,7 +9,7 @@ class BufferingSwitcher(ft.AnimatedSwitcher): image_queue = [] - def __init__(self, image: ft.Image, page: ft.Page): + def __init__(self, image: ft.Image): super().__init__(image) self.transition = ft.AnimatedSwitcherTransition.SCALE self.duration = 500 @@ -17,7 +17,6 @@ def __init__(self, image: ft.Image, page: ft.Page): self.switch_in_curve = ft.AnimationCurve.EASE_IN self.switch_out_curve = ft.AnimationCurve.EASE_OUT self.image_queue.append(image) - self.page = page def animate(self, e): self.content = ft.Image( @@ -37,7 +36,6 @@ async def fill_queue(self): ) async def image_to_base64(self, url): - print("image_to_base64 called") response = await httpx.AsyncClient(follow_redirects=True).get(url) if response.status_code == 200: base64_str = ( @@ -50,15 +48,13 @@ async def image_to_base64(self, url): def before_update(self): self.page.run_task(self.fill_queue) - print(len(self.image_queue)) def main(page: ft.Page): switcher = BufferingSwitcher( ft.Image( src=f"https://picsum.photos/200/300?{time.time()}", width=200, height=300 - ), - page, + ) ) page.add( diff --git a/sdk/python/examples/controls/canvas/brush.py b/sdk/python/examples/controls/canvas/brush.py index 65b3db6075..0140b98cb5 100644 --- a/sdk/python/examples/controls/canvas/brush.py +++ b/sdk/python/examples/controls/canvas/brush.py @@ -65,7 +65,7 @@ async def save_image(): capture = await canvas.get_capture() if capture: file_path = await file_picker.save_file( - file_name="flet_picture.png", src=capture + file_name="flet_picture.png", src_bytes=capture ) if file_path and page.platform in [ ft.PagePlatform.MACOS, diff --git a/sdk/python/packages/flet-audio/src/flutter/flet_audio/lib/src/audio.dart b/sdk/python/packages/flet-audio/src/flutter/flet_audio/lib/src/audio.dart index c943647e15..91a294ee2b 100644 --- a/sdk/python/packages/flet-audio/src/flutter/flet_audio/lib/src/audio.dart +++ b/sdk/python/packages/flet-audio/src/flutter/flet_audio/lib/src/audio.dart @@ -65,7 +65,7 @@ class AudioService extends FletService { void update() { debugPrint("Audio(${control.id}).update: ${control.properties}"); - final resolvedSrc = ResolvedAssetSource.from(control.get("src")); + final resolvedSrc = control.getSrc("src"); if (resolvedSrc.error != null) { throw Exception("Audio src decode error: ${resolvedSrc.error}"); } diff --git a/sdk/python/packages/flet-lottie/src/flutter/flet_lottie/lib/src/lottie.dart b/sdk/python/packages/flet-lottie/src/flutter/flet_lottie/lib/src/lottie.dart index a2dc62b28e..d254cf7f6b 100644 --- a/sdk/python/packages/flet-lottie/src/flutter/flet_lottie/lib/src/lottie.dart +++ b/sdk/python/packages/flet-lottie/src/flutter/flet_lottie/lib/src/lottie.dart @@ -15,7 +15,8 @@ class _LottieControlState extends State { @override Widget build(BuildContext context) { debugPrint( - "Lottie build: ${widget.control.id} (${widget.control.hashCode})"); + "Lottie build: ${widget.control.id} (${widget.control.hashCode})", + ); var repeat = widget.control.getBool("repeat", true)!; var backgroundLoading = widget.control.getBool("background_loading"); @@ -25,7 +26,7 @@ class _LottieControlState extends State { var alignment = widget.control.getAlignment("alignment"); var filterQuality = widget.control.getFilterQuality("filter_quality"); var errorContent = widget.control.buildWidget("error_content"); - final resolvedSrc = ResolvedAssetSource.from(widget.control.get("src")); + final resolvedSrc = widget.control.getSrc("src"); if (resolvedSrc.error != null) { return errorContent ?? @@ -38,8 +39,10 @@ class _LottieControlState extends State { var options = LottieOptions( enableMergePaths: widget.control.getBool("enable_merge_paths", false)!, - enableApplyingOpacityToLayers: - widget.control.getBool("enable_layers_opacity", false)!, + enableApplyingOpacityToLayers: widget.control.getBool( + "enable_layers_opacity", + false, + )!, ); void onError(String value) { @@ -88,33 +91,37 @@ class _LottieControlState extends State { var assetSrc = widget.control.backend.getAssetSource(resolvedSrc.uri!); // Local File if (assetSrc.isFile) { - lottie = Lottie.asset(assetSrc.path, - repeat: repeat, - reverse: reverse, - animate: animate, - alignment: alignment, - options: options, - fit: fit, - filterQuality: filterQuality, - backgroundLoading: backgroundLoading, - errorBuilder: errorBuilder, - onLoaded: onLoad, - onWarning: onError); + lottie = Lottie.asset( + assetSrc.path, + repeat: repeat, + reverse: reverse, + animate: animate, + alignment: alignment, + options: options, + fit: fit, + filterQuality: filterQuality, + backgroundLoading: backgroundLoading, + errorBuilder: errorBuilder, + onLoaded: onLoad, + onWarning: onError, + ); } else { // URL - lottie = Lottie.network(assetSrc.path, - repeat: repeat, - reverse: reverse, - animate: animate, - alignment: alignment, - fit: fit, - options: options, - filterQuality: filterQuality, - backgroundLoading: backgroundLoading, - headers: widget.control.get("headers")?.cast(), - errorBuilder: errorBuilder, - onLoaded: onLoad, - onWarning: onError); + lottie = Lottie.network( + assetSrc.path, + repeat: repeat, + reverse: reverse, + animate: animate, + alignment: alignment, + fit: fit, + options: options, + filterQuality: filterQuality, + backgroundLoading: backgroundLoading, + headers: widget.control.get("headers")?.cast(), + errorBuilder: errorBuilder, + onLoaded: onLoad, + onWarning: onError, + ); } }