diff --git a/API_zh-CN.md b/API_zh-CN.md
new file mode 100644
index 00000000..e69de29b
diff --git a/README.md b/README.md
index 337a8b23..08fe3e5a 100644
--- a/README.md
+++ b/README.md
@@ -95,6 +95,7 @@ def extract(url:str, html:str) -> str:
     try:
         nlp_md = extract_content_from_html_with_magic_html(url, html)
         # or mm_nlp_md = extract_content_from_html_with_magic_html(url, html, 'mm_md')
+        # or mm_nlp_md = extract_content_from_html_with_magic_html(url, html, 'mm_md', use_raw_image_url=True)
         # or nlp_md = extract_content_from_html_with_magic_html(url, html, language='zh')
         return nlp_md
     except Exception as e:
@@ -124,6 +125,7 @@ def extract(url:str, html:str) -> str:
     try:
         nlp_md = extract_content_from_main_html(url, html)
         # or mm_nlp_md = extract_content_from_main_html(url, html, 'mm_md')
+        # or mm_nlp_md = extract_content_from_main_html(url, html, 'mm_md', use_raw_image_url=True)
         # or nlp_md = extract_content_from_main_html(url, html, language='zh')
         return nlp_md
     except Exception as e:
@@ -214,9 +216,9 @@ text = get_plain_text_fast(html_source)
 
 ## Pipeline
 
-1. [HTML pre-dedup](jupyter/html-pre-dedup/main.ipynb)
+1. [HTML pre-dedup](jupyter/html-pre-dedup/README.md)
 2. [domain clustering](jupyter/domain_clustering/README.md)
-3. [layout clustering](jupyter/layout-clustering/main.ipynb)
+3. [layout clustering](jupyter/layout-clustering/README.md)
 4. [typical layout node selection](jupyter/typical-html-select/main.ipynb)
 5. [HTML node select by LLM](jupyter/html-node-select-llm/main.ipynb)
 6. [html parse layout by layout](jupyter/html-parse-by-layout/main.ipynb)
diff --git a/jupyter/html-pre-dedup/README.md b/jupyter/html-pre-dedup/README.md
index ae9a6400..558ef7e9 100644
--- a/jupyter/html-pre-dedup/README.md
+++ b/jupyter/html-pre-dedup/README.md
@@ -1,25 +1,85 @@
 # 预去重按照如下顺序执行
 
-## cc_dedup_fir.ipynb
+## 流程方案
+
+![img.png](assets/img.png)
+
+## 执行步骤
+
+### cc_dedup_fir.ipynb
 
 输入参数：
+
+```
 DUMPS: cc warc 文件对应的dump
 CC_WARC: cc warc 文件对应的 s3 路径，不包含 dump， 程序依据不同dump分批执行
 output_path: s3 输出路径
+```
+
+输出数据结构：
+
+```json
+{
+    "track_id": "a6dcf951-42de-4ec6-a0d5-9af1ee73ab03",
+    "sub_path": "dump",
+    "hash_html": "0005dcd7fdce5a28efb9eec848b2caf95da971e1d58598e3ff52c3c4eb66882d"
+}
+```
 
-## cc_dedup_sec.ipynb
+### cc_dedup_sec.ipynb
 
 输入参数：
+
+```
 DUMPS: cc warc 文件对应的dump
 base_input_path：第一步 cc_dedup_fir.ipynb 执行产生的 s3 路径，不包含dump，程序依据不同dump分批执行
 这里输入路径需要以 s3a 开头，否则程序会报错
 already_exist_id_path：存放已经去重的id path
 output_path: s3 输出路径
+```
+
+输出数据结构：
+
+```json
+{
+    "track_id": "a6dcf951-42de-4ec6-a0d5-9af1ee73ab03",
+    "sub_path": "dump",
+    "hash_html": "0005dcd7fdce5a28efb9eec848b2caf95da971e1d58598e3ff52c3c4eb66882d"
+}
+```
 
-## cc_dedup_thi.ipynb
+### cc_dedup_thi.ipynb
 
 输入参数：
+
+```
 DUMPS: cc warc 文件对应的dump
 CC_WARC: cc warc 文件对应的 s3 路径，不包含 dump， 程序依据不同dump分批执行
 base_unique_path: 第二步 cc_dedup_sec.ipynb 执行产生的 s3 路径
 output_path: s3  输出路径
+```
+
+输出数据结构：
+
+```json
+{
+    "date": 1369152963,
+    "response_header": {
+        "Connection": "close",
+        "Content-Type": "text/html"
+    },
+    "track_id": "0008dd8c-4f4b-424a-af7b-ebd73fabc49a",
+    "remark": {
+        "warc_headers": {
+            "WARC-IP-Address": "186.192.82.88"
+        }
+    },
+    "html": "<!DOCTYPE html PUBLIC \"-//W3C//DTD XHTML 1.0 Transitional//EN\" </html>",
+    "content_charset": "utf-8",
+    "content_length": 97605,
+    "url": "http://www.test.com/",
+    "status": 200,
+    "sub_path": "dump",
+    "raw_warc_path": "s3://xxx"  // cc源数据path
+}
+```
diff --git a/jupyter/html-pre-dedup/assets/img.png b/jupyter/html-pre-dedup/assets/img.png
new file mode 100644
index 00000000..87191b89
Binary files /dev/null and b/jupyter/html-pre-dedup/assets/img.png differ
diff --git a/jupyter/html-pre-dedup/cc_dedup_thr.ipynb b/jupyter/html-pre-dedup/cc_dedup_thr.ipynb
index 97b262d1..66cb77f4 100644
--- a/jupyter/html-pre-dedup/cc_dedup_thr.ipynb
+++ b/jupyter/html-pre-dedup/cc_dedup_thr.ipynb
@@ -109,7 +109,7 @@
    "source": [
     "def parse_path_to_html(iter):\n",
     "    for fpath in iter:\n",
-    "        for zz in read_s3_rows(fpath):\n",
+    "        for zz in read_s3_rows(fpath, use_stream=True):\n",
     "            try:\n",
     "                detail_datas = json_loads(zz.value)\n",
     "            except:\n",
@@ -167,7 +167,7 @@
     "    StructField(\"track_id\", StringType(), True),\n",
     "])\n",
     "\n",
-    "dump_ods_df_with_struct = unique_id_df.withColumn(\"jsocn_strut\", from_json(unique_id_df.value, unique_schema))\n",
+    "dump_ods_df_with_struct = unique_id_df.withColumn(\"json_struct\", from_json(unique_id_df.value, unique_schema))\n",
     "unique_id_v_df = dump_ods_df_with_struct.select(\"json_struct.*\")"
    ]
   },
diff --git a/jupyter/layout-clustering/README.md b/jupyter/layout-clustering/README.md
index ebf8f661..148741d5 100644
--- a/jupyter/layout-clustering/README.md
+++ b/jupyter/layout-clustering/README.md
@@ -1,10 +1,69 @@
-# 聚类参数如下
+# layout 聚类
+
+## 流程方案
+
+![img.png](assets/img.png)
+
+## 输入参数
+
+```
+DATA_SIZE_PER_BATCH: 每个批次的数据量
+
+MAX_LAYOUTLIST_SIZE: 聚类列表最大长度
+SIMILARITY_THRESHOLD: 相似度阈值
+TIMEOUT_SECONDS: 聚类超时时间
+SIM_TIMEOUT_SECONDS: 相似度超时时间
+MAX_OUTPUT_ROW_SIZE: 输出数据行大小限制
+MAX_OUTPUT_FILE_SIZE: 输出文件大小限制
+NUM_PARTITIONS: spark分区设置
+WRITE_NUM_PARTITIONS: spark 相似度写入分区设置
+RATE_MAP: 聚类数据筛选标准
 
 ERROR_PATH: 异常日志地址
-INPUT_PATH:  第一步 choose domain 输入数据地址
-CHOOSE_OUTPUT_PATH: 第一步choose domain输出数据地址
-BASE_LAYOUT_OUTPUT_PATH: 第二步layout输出数据基础地址
-BASE_SIM_OUTPUT_PATH: 第三步sim输出数据基础地址
-BASE_INDEX_OUTPUT_PATH: 第四步index输出数据基础地址
-BASE_DOMAIN_PATH: 过程中 valid domain 存储地址
-BASE_BATCH_PATH: 过程中 batch layout 存储地址
+
+INPUT_PATH: choose domain 输入数据地址
+CHOOSE_DOMAIN_OUTPUT_PATH: choose domain输出数据地址
+
+CLUSTER_LAYOUT_BASE_OUTPUT_PATH: layout输出数据基础地址
+BASE_DOMAIN_PATH: 过程中 valid domain 数据基础地址
+BASE_BATCH_PATH: 过程中 batch layout 数据基础地址
+
+LAYOUT_SIM_BASE_OUTPUT_PATH: layout data输出数据基础地址
+
+LAYOUT_INDEX_BASE_OUTPUT_PATH: layout index输出数据基础地址
+```
+
+## 输出数据结构
+
+#### layout data
+
+```json
+{
+    "track_id": "31f5a241-f6d8-40f5-93c8-72b61c5dd790",
+    "html": "<!DOCTYPE html>\n<html>...</html>",
+    "url": "http://www.test.com/",
+    "layout_id": "www.test.com_0",
+    "max_layer_n": 6,
+    "url_host_name": "www.test.com",
+    "raw_warc_path": "s3://xxx"
+}
+```
+
+#### layout index
+
+```json
+{
+  "layout_id": "www.test.com_0",
+  "url_host_name": "www.test.com",
+  "count": 50,
+  "files": [
+    {
+      "filepath": "s3://xxx",  // 文件路径
+      "offset": 0,                          // 该layout_id数据在文件中的offset
+      "length": 50,                         // 该layout_id数据在文件中的length
+      "record_count": 50,                       // 该filepath 记录该layout_id的数量
+      "timestamp": "2025-06-09 20:04:04"                    // 最后更新时间戳
+    }
+  ]
+}
+```
diff --git a/jupyter/layout-clustering/assets/img.png b/jupyter/layout-clustering/assets/img.png
new file mode 100644
index 00000000..98e0a188
Binary files /dev/null and b/jupyter/layout-clustering/assets/img.png differ
diff --git a/jupyter/layout-clustering/layout.ipynb b/jupyter/layout-clustering/layout.ipynb
index de0b28d1..99d98426 100644
--- a/jupyter/layout-clustering/layout.ipynb
+++ b/jupyter/layout-clustering/layout.ipynb
@@ -7,6 +7,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "# 加载spark配置\n",
     "from xinghe.spark import *\n",
     "from app.common.json_util import *\n",
     "from xinghe.s3 import *\n",
@@ -14,63 +15,38 @@
     "from xinghe.ops.spark import spark_resize_file\n",
     "\n",
     "import os\n",
+    "os.environ[\"LLM_WEB_KIT_CFG_PATH\"] = \"/share/xxx/.llm-web-kit.jsonc\"\n",
     "\n",
-    "os.environ[\"LLM_WEB_KIT_CFG_PATH\"] = \"/xxx/.llm-web-kit.jsonc\"\n",
-    "from llm_web_kit.html_layout.html_layout_cosin import cluster_html_struct, get_feature, similarity, sum_tags\n",
-    "\n",
+    "import heapq\n",
+    "import math\n",
     "import uuid\n",
     "import traceback\n",
     "import pandas as pd\n",
+    "from typing import List, Dict\n",
     "from copy import copy\n",
-    "from datetime import datetime\n",
     "from collections import defaultdict\n",
     "from func_timeout import FunctionTimedOut, func_timeout\n",
+    "from datetime import datetime\n",
     "\n",
+    "from llm_web_kit.html_layout.html_layout_cosin import cluster_html_struct, get_feature, similarity, sum_tags\n",
+    "\n",
+    "from pyspark.sql.window import Window\n",
     "from pyspark.sql import Row, DataFrame\n",
-    "from pyspark.sql.functions import row_number, col, collect_list, struct, expr, pandas_udf, PandasUDFType, \\\n",
-    "    round as _round, lit, to_json, explode\n",
+    "from pyspark.sql.functions import when, spark_partition_id, row_number, col, collect_list, struct, from_json, expr, count as _count, pandas_udf, PandasUDFType, round as _round, lit, to_json, explode, min as _min, sum as _sum, first, max as _max\n",
     "from pyspark.sql.types import StructType, StructField, IntegerType, StringType, LongType\n",
     "\n",
+    "\n",
     "config = {\n",
     "    \"spark_conf_name\": \"spark_4\",\n",
     "    \"skip_success_check\": True,\n",
-    "    \"spark.executorEnv.LLM_WEB_KIT_CFG_PATH\": \"/xxx/.llm-web-kit.jsonc\",\n",
-    "}\n",
-    "\n",
-    "COUNT_MAP = [  # 按批选择域名的标准\n",
-    "    (\"1-1600\", 1, 1600),\n",
-    "    (\"1600-1.5w\", 1600, 15000),\n",
-    "    (\"1.5w-10w\", 15000, 100000),\n",
-    "    (\"10w\", 100000, None)\n",
-    "]\n",
-    "BASE_PARTITION_ID = 0  # 初始化分区id\n",
-    "DATA_SIZE_PER_BATCH = 1000000000  # 每批次数据量级\n",
-    "LAYOUT_TIMEOUT_SECONDS = 3600 * 5  # 计算layout超时时间5min\n",
-    "SIM_TIMEOUT_SECONDS = 60 * 1  # 相似度匹配超时时间60s\n",
-    "MAX_OUTPUT_ROW_SIZE = 1024 * 1024 * 1024 * 1.7  # 每条数据最大bytes\n",
-    "MAX_OUTPUT_FILE_SIZE = 1024 * 1024 * 1024 * 2\n",
-    "MAX_LAYOUTLIST_SIZE = 200  # 最大 layoutid_size/domain\n",
-    "SIMILARITY_THRESHOLD = 0.95  # 最大相似度匹配值\n",
-    "RATE_MAP = {\"10w\": 0.1, \"1.5w-10w\": 0.2, \"1600-1.5w\": 0.5, \"1-1600\": 1, \"500-1600\": 1}  # 不同域名量级对应的筛选标准\n",
-    "NUM_PARTITIONS = 100000  # 自定义分区数\n",
-    "WRITE_NUM_PARTITIONS = 20000  # 自定义write分区数\n",
-    "\n",
-    "ERROR_PATH = \"s3://xxx/\"  # 异常日志地址\n",
-    "INPUT_PATH = \"s3://xxx/\"  # 输入数据地址\n",
-    "CHOOSE_OUTPUT_PATH = \"s3://xxx/\"  # 第一步choose domain输出数据地址\n",
-    "BASE_LAYOUT_OUTPUT_PATH = \"s3://xxx/\"  # 第二步layout输出数据基础地址\n",
-    "BASE_SIM_OUTPUT_PATH = \"s3://xxx/\"  # 第三步sim输出数据基础地址\n",
-    "BASE_INDEX_OUTPUT_PATH = \"s3://xxx/\"  # 第四步index输出数据基础地址\n",
-    "BASE_DOMAIN_PATH = \"s3://xxx/\"  # 过程中 valid domain 存储地址\n",
-    "BASE_BATCH_PATH = \"s3://xxx/\"  # 过程中 batch layout 存储地址"
+    "    \"spark.storage.memoryFraction\": 0.8,\n",
+    "}"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "1",
-   "metadata": {
-    "jp-MarkdownHeadingCollapsed": true
-   },
+   "metadata": {},
    "source": [
     "# utils"
    ]
@@ -82,16 +58,87 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# 异常日志\n",
+    "def create_spark(spark_name: str):\n",
+    "    global spark\n",
+    "    spark = new_spark_session(f\"cluster.layout.{spark_name}\", config)\n",
+    "    global sc\n",
+    "    sc = spark.sparkContext\n",
+    "    sc.setLogLevel(\"ERROR\")\n",
+    "\n",
+    "def close_spark():\n",
+    "    spark.stop()\n",
+    "\n",
     "def get_s3_doctor(target_theme):\n",
     "    partition_id = str(uuid.uuid4())\n",
     "    current_time = datetime.now().strftime(\"%Y%m%d\")\n",
+    "    # TODO 错误日志存放地址\n",
     "    error_log_path = f\"{ERROR_PATH}{target_theme}/{current_time}/{partition_id}.jsonl\"\n",
     "    s3_doc_writer = S3DocWriter(path=error_log_path)\n",
     "    return s3_doc_writer\n",
     "\n",
+    "def crush_read_path(path):\n",
+    "    if isinstance(path, list):\n",
+    "        return [f.replace('s3:', 's3a:') for f in path]\n",
+    "    else:\n",
+    "        return path.replace('s3:', 's3a:')\n",
+    "\n",
+    "BASE_PARTITION_ID = 0\n",
+    "\n",
+    "COUNT_MAP = [\n",
+    "    (\"1-1600\", 1, 1600),\n",
+    "    (\"1600-1.5w\", 1600, 15000),\n",
+    "    (\"1.5w-10w\", 15000, 100000),\n",
+    "    (\"10w\", 100000, None)\n",
+    "]\n",
+    "DATA_SIZE_PER_BATCH = 1000000000\n",
+    "\n",
+    "MAX_LAYOUTLIST_SIZE = 200\n",
+    "SIMILARITY_THRESHOLD = 0.95\n",
+    "TIMEOUT_SECONDS = 3600 * 5  # 超时时间\n",
+    "SIM_TIMEOUT_SECONDS = 60 * 2  # 超时时间\n",
+    "MAX_OUTPUT_ROW_SIZE = 1024 * 1024 * 1024 * 1.7\n",
+    "MAX_OUTPUT_FILE_SIZE = 1024 * 1024 * 1024 * 1  # 输出输出文件大小限制\n",
+    "NUM_PARTITIONS = 4000\n",
+    "WRITE_NUM_PARTITIONS = 2000\n",
+    "RATE_MAP = {\"10w\": 0.1, \"1.5w-10w\": 0.2, \"1600-1.5w\": 0.5, \"1-1600\": 0.7}\n",
+    "\n",
+    "ERROR_PATH = \"s3://xxx/\"\n",
     "\n",
-    "# 自定义生成分区id\n",
+    "INPUT_PATH = \"s3a://xxxx/\"\n",
+    "CHOOSE_DOMAIN_OUTPUT_PATH = \"s3://xxx/\"\n",
+    "\n",
+    "CLUSTER_LAYOUT_BASE_OUTPUT_PATH = \"s3://xxx/\"\n",
+    "BASE_DOMAIN_PATH = \"s3://xxx/\"\n",
+    "BASE_BATCH_PATH = \"s3://xxx/\"\n",
+    "\n",
+    "LAYOUT_SIM_BASE_OUTPUT_PATH = \"s3://xxx/\"\n",
+    "\n",
+    "LAYOUT_INDEX_BASE_OUTPUT_PATH = \"s3://xxx/\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3",
+   "metadata": {},
+   "source": [
+    "# choose_domain"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4",
+   "metadata": {},
+   "source": [
+    "## utils"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "def divide_list_to_chunks(values, n_chunks):\n",
     "    assignments = dict()\n",
     "    chunks = [(0, i) for i in range(n_chunks)]\n",
@@ -105,8 +152,6 @@
     "        heapq.heappush(chunks, (new_sum, chunk_id))\n",
     "        yield Row(domain=name, partition_id=chunk_id)\n",
     "\n",
-    "\n",
-    "# 依据分区id将数据写入s3\n",
     "def write_by_partitionid(_iter):\n",
     "    detail_data = None\n",
     "    s3_writer = None\n",
@@ -121,24 +166,131 @@
     "            s3_writer.write(line)\n",
     "        else:\n",
     "            partition_id = detail_data[\"partition_id\"] + BASE_PARTITION_ID\n",
-    "            output_file = f\"{CHOOSE_OUTPUT_PATH}{count_data[0]}_{total_count}/{partition_id}.jsonl\"\n",
+    "            output_file = f\"{CHOOSE_DOMAIN_OUTPUT_PATH}{count_data[0]}_{total_count}/{partition_id}.jsonl\"\n",
     "            s3_writer = S3DocWriter(output_file)\n",
     "            s3_writer.write(line)\n",
     "\n",
     "    if detail_data is not None:\n",
     "        s3_writer.flush()\n",
-    "    yield {\"write_size\": index}\n",
+    "    yield {\"write_size\": index}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6",
+   "metadata": {},
+   "source": [
+    "## choose domain"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_choose_input_path(INPUT_PATH):\n",
+    "    try:\n",
+    "        with open(\"./already_exist.txt\", \"r\", encoding=\"utf-8\") as f:\n",
+    "            content = f.read()\n",
+    "            already_exist = eval(content) if content else []\n",
+    "    except:\n",
+    "        already_exist = []\n",
+    "    input_path_lst = [f.replace(\"s3\", \"s3a\") for f in list(list_s3_objects(INPUT_PATH, recursive=True)) if f.endswith(\".jsonl\") and f not in already_exist]\n",
+    "    if input_path_lst:\n",
+    "        with open(\"./already_exist.txt\", \"w\", encoding=\"utf-8\") as f:\n",
+    "            already_exist.extend(input_path_lst)\n",
+    "            f.write(str(already_exist))\n",
+    "    get_choose_input_df(input_path_lst)\n",
+    "\n",
+    "def get_choose_input_df(input_path_lst):\n",
+    "    input_path_lst = crush_read_path(input_path_lst)\n",
+    "    df = spark.read.format(\"json\").load(input_path_lst)\n",
+    "    df.cache()\n",
+    "    filter_batch_df(df)\n",
+    "\n",
+    "def filter_batch_df(df: DataFrame):\n",
+    "    for i in [3,2,1,0]:\n",
+    "        global count_data\n",
+    "        count_data = COUNT_MAP[i]\n",
+    "        if count_data[2] is None:\n",
+    "            filter_df = df.filter(col(\"count\") > count_data[1])\n",
+    "        else:\n",
+    "            filter_df = df.filter(col(\"count\") > count_data[1]).filter(col(\"count\") <= count_data[2])\n",
+    "        total_batch_count(filter_df)\n",
+    "        if total_count < 1:\n",
+    "            continue\n",
+    "        parse_partition_id(filter_df, i)\n",
+    "\n",
+    "def total_batch_count(filter_df: DataFrame):\n",
+    "    global total_count\n",
+    "    total_count = filter_df.select(_sum(\"count\")).collect()[0][0]\n",
+    "\n",
+    "def parse_partition_id(filter_df: DataFrame, i: int):\n",
+    "    NUM_PARTITIONS = math.ceil(total_count/DATA_SIZE_PER_BATCH)\n",
+    "    if i == 0:\n",
+    "        repart_df = filter_df.select([\"domain\"]).repartition(NUM_PARTITIONS, col(\"domain\"))\n",
+    "        partition_df = repart_df.withColumn(\"partition_id\", spark_partition_id())\n",
+    "    else:\n",
+    "        # 分区数取决于total_count 和每批次的数据量级\n",
+    "        weight_datas = filter_df.select([\"domain\", \"count\"]).collect()\n",
+    "        partition_list = list(divide_list_to_chunks(weight_datas, NUM_PARTITIONS))\n",
+    "        partition_df = spark.createDataFrame(partition_list)\n",
+    "    join_to_write_choose(filter_df, partition_df)\n",
     "\n",
+    "def join_to_write_choose(filter_df: DataFrame, partition_df: DataFrame, ):\n",
+    "    df_with_weight = filter_df.join(partition_df, on=\"domain\")\n",
+    "    \n",
+    "    output_schema = StructType([\n",
+    "        StructField('write_size', LongType(), True),\n",
+    "    ])\n",
+    "    \n",
+    "    @pandas_udf(output_schema, PandasUDFType.GROUPED_MAP)\n",
+    "    def pandas_udf_repartition(data_collected_series):\n",
+    "        result = write_by_partitionid(data_collected_series)\n",
+    "        if result:\n",
+    "            return pd.DataFrame(result)\n",
+    "        \n",
+    "    output_df = df_with_weight.groupby('partition_id').apply(pandas_udf_repartition)\n",
     "\n",
-    "# 依据index获取详情数据\n",
-    "def get_all_domain_data(_iter):\n",
+    "def choose_main():\n",
+    "    spark_name = \"choose_domain\"\n",
+    "    create_spark(spark_name)\n",
+    "    get_choose_input_path(INPUT_PATH)\n",
+    "    close_spark()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8",
+   "metadata": {},
+   "source": [
+    "# cluster_layout"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9",
+   "metadata": {},
+   "source": [
+    "## utils"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "10",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_all_domain_data_cluster(_iter):\n",
     "    s3_doc_writer = get_s3_doctor(\"get_feature\")\n",
     "    error_info = None\n",
     "    for row in _iter:\n",
     "        valid_count = row.valid_count\n",
     "        file_d = row.file\n",
     "        offset = file_d.offset\n",
-    "        length = file_d.length\n",
     "        record_count = file_d.record_count\n",
     "        try:\n",
     "            for detail_data in read_s3_by_offset_limit(file_d.filepath, offset, limit=record_count):\n",
@@ -193,22 +345,18 @@
     "            }\n",
     "            s3_doc_writer.write(error_info)\n",
     "            continue\n",
-    "\n",
+    "                        \n",
     "    if error_info:\n",
     "        s3_doc_writer.flush()\n",
     "\n",
-    "\n",
-    "# 输出数据过滤\n",
-    "def crush_output_data(output_data):\n",
+    "def crush_output_data_cluster(output_data):\n",
     "    output_data_json = json_dumps(output_data)\n",
     "    if len(output_data_json) < MAX_OUTPUT_ROW_SIZE:\n",
-    "        return {\"value\": output_data_json}\n",
+    "        return output_data_json\n",
     "    else:\n",
-    "        return None\n",
-    "\n",
+    "        return output_data\n",
     "\n",
-    "# 解析批次数据\n",
-    "def parse_batch_data(fpath):\n",
+    "def parse_batch_data_cluster(fpath):\n",
     "    sample_list = []\n",
     "    index = 0\n",
     "    for domain_v in read_s3_rows(fpath, use_stream=True):\n",
@@ -234,9 +382,7 @@
     "    if sample_list:\n",
     "        yield sample_list\n",
     "\n",
-    "\n",
-    "# 计算layout\n",
-    "def calculating_layout(current_host_name, sample_list):\n",
+    "def calculating_layout_cluster(current_host_name, sample_list):\n",
     "    cluster_datas, layout_list = cluster_html_struct(sample_list)\n",
     "    feature_dict = defaultdict(list)\n",
     "    max_layer_n = cluster_datas[0][\"max_layer_n\"]\n",
@@ -249,28 +395,31 @@
     "            cr = copy(r)\n",
     "            feature_dict[layout_id].append(cr)\n",
     "    if layout_list:\n",
-    "        layout_tmp_dict = crush_output_data(\n",
-    "            {\"domain\": current_host_name, \"sub_path\": current_host_name, \"feature_dict\": dict(feature_dict),\n",
-    "             \"layout_list\": layout_list, \"max_layer_n\": max_layer_n})\n",
+    "        layout_tmp_dict = crush_output_data_cluster({\"domain\": current_host_name, \"sub_path\": current_host_name, \"feature_dict\": dict(feature_dict), \"layout_list\": layout_list, \"max_layer_n\": max_layer_n})\n",
     "        yield layout_tmp_dict\n",
     "\n",
-    "\n",
-    "# 解析layout\n",
-    "def parse_layout(domain_list):\n",
+    "def parse_layout_cluster(domain_list):\n",
     "    s3_doc_writer = get_s3_doctor(\"parse_layout\")\n",
     "    error_info = None\n",
     "    for fpath in domain_list:\n",
     "        try:\n",
-    "            for sample_list in parse_batch_data(fpath):\n",
+    "            for sample_list in parse_batch_data_cluster(fpath):\n",
     "                try:\n",
     "                    if len(sample_list) > 1:\n",
     "                        current_host_name = sample_list[0][\"domain\"]\n",
-    "                        print(\n",
-    "                            f\"current time: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}, sample_list:{len(sample_list)}, current_host_name:{current_host_name}\")\n",
-    "                        for line in func_timeout(LAYOUT_TIMEOUT_SECONDS, calculating_layout,\n",
-    "                                                 (current_host_name, sample_list,)):\n",
-    "                            if line is not None:\n",
-    "                                yield line\n",
+    "                        for line in func_timeout(TIMEOUT_SECONDS, calculating_layout_cluster, (current_host_name, sample_list,)):\n",
+    "                            if isinstance(line, str):\n",
+    "                                yield {\"value\": line}\n",
+    "                            elif isinstance(line, Dict):\n",
+    "                                error_info = {\n",
+    "                                    \"error_type\": \"MemoryError by row\",\n",
+    "                                    \"error_message\": \"MemoryError by row\",\n",
+    "                                    \"traceback\": traceback.format_exc(),\n",
+    "                                    \"input_data\": line,\n",
+    "                                    \"timestamp\": datetime.now().isoformat()\n",
+    "                                }\n",
+    "                                s3_doc_writer.write(error_info)\n",
+    "                                continue\n",
     "                except FunctionTimedOut as e:\n",
     "                    error_info = {\n",
     "                        \"error_type\": type(e).__name__,\n",
@@ -303,9 +452,7 @@
     "    if error_info:\n",
     "        s3_doc_writer.flush()\n",
     "\n",
-    "\n",
-    "# 通过相似度合并layout\n",
-    "def layout_similarity(layout_d1, layout_d2):\n",
+    "def layout_similarity_cluster(layout_d1, layout_d2):\n",
     "    max_layer_n = max(layout_d1[\"max_layer_n\"], layout_d2[\"max_layer_n\"])\n",
     "    layout_last = layout_d1\n",
     "    layout_last[\"max_layer_n\"] = max_layer_n\n",
@@ -331,12 +478,9 @@
     "            layout_last[\"feature_dict\"][str(max_layout_id)] = new_v\n",
     "            layout_last[\"layout_list\"].append(max_layout_id)\n",
     "    return layout_last\n",
-    "\n",
-    "\n",
-    "# 合并layout\n",
-    "def merge_layout(domain_list):\n",
+    "                    \n",
+    "def merge_layout_cluster(domain_list):\n",
     "    s3_doc_writer = get_s3_doctor(\"merge_layout\")\n",
-    "    print(f\"start merge layout, current time: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\")\n",
     "    error_info = None\n",
     "    pre_domain = {}\n",
     "    domain_v = None\n",
@@ -352,7 +496,7 @@
     "                        pre_domain = json_loads(domain_v.value)\n",
     "                    else:\n",
     "                        try:\n",
-    "                            pre_domain = layout_similarity(pre_domain, json_loads(domain_v.value))\n",
+    "                            pre_domain = layout_similarity_cluster(pre_domain, json_loads(domain_v.value))\n",
     "                        except Exception as e:\n",
     "                            error_info = {\n",
     "                                \"error_type\": type(e).__name__,\n",
@@ -372,13 +516,12 @@
     "                    \"timestamp\": datetime.now().isoformat()\n",
     "                }\n",
     "                s3_doc_writer.write(error_info)\n",
-    "\n",
-    "    if pre_domain:\n",
+    "                \n",
+    "    if pre_domain:            \n",
     "        output_data = json_dumps(pre_domain)\n",
     "        if len(output_data) < MAX_OUTPUT_ROW_SIZE:\n",
     "            yield {\"layout_dict\": output_data, \"domain\": pre_domain[\"domain\"]}\n",
     "        else:\n",
-    "            print(f\"merge layout more 2g: {pre_domain}\")\n",
     "            error_info = {\n",
     "                \"error_type\": \"EOFError\",\n",
     "                \"error_message\": \"Memory more than required for vector is (2147483648)\",\n",
@@ -388,84 +531,600 @@
     "            }\n",
     "            s3_doc_writer.write(error_info)\n",
     "    if error_info:\n",
-    "        s3_doc_writer.flush()\n",
+    "        s3_doc_writer.flush()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "11",
+   "metadata": {},
+   "source": [
+    "## main func"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "12",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# get data by domain\n",
+    "def get_cluster_input_df(batch: str, path_list: List):\n",
+    "    batch = crush_read_path(batch)\n",
+    "    input_df = spark.read.format(\"json\").load(batch)\n",
+    "    domain_df = parse_valid_data_cluster(input_df, path_list)\n",
+    "    domain_count = domain_df.count()\n",
+    "    parse_explode_df_cluster(domain_df, domain_count)\n",
+    "    \n",
+    "def parse_valid_data_cluster(input_df: DataFrame, path_list: List):\n",
+    "    data_range = path_list[-2].split(\"_\")[0]\n",
+    "    data_count_rate = RATE_MAP.get(data_range, 1)\n",
+    "    domain_df = input_df.withColumn(\"valid_count\", _round(col(\"count\") * data_count_rate).cast(\"integer\"))\n",
+    "    return domain_df\n",
     "\n",
+    "def parse_explode_df_cluster(domain_df: DataFrame, domain_count):\n",
+    "    explode_df = domain_df.withColumn(\"file\", explode(col(\"files\"))).drop(\"files\")\n",
+    "    parse_get_feature_df_cluster(explode_df, domain_df, domain_count)\n",
     "\n",
-    "# 解析输出数据\n",
-    "def parse_output_data(row_data):\n",
-    "    row_data.update({\"layout_id\": '_'.join([row_data[\"url_host_name\"], str(row_data[\"layout_id\"])])})\n",
-    "    new_row_data_json = json_dumps(row_data)\n",
-    "    if len(new_row_data_json) < MAX_OUTPUT_ROW_SIZE:\n",
-    "        return {\"value\": new_row_data_json, \"layout_id\": row_data[\"layout_id\"]}\n",
-    "    return None\n",
+    "def parse_get_feature_df_cluster(explode_df: DataFrame, domain_df: DataFrame, domain_count):\n",
+    "    schema = StructType([\n",
+    "        StructField('value', StringType(), True),\n",
+    "        StructField('domain', StringType(), True),\n",
+    "        StructField('valid_count', IntegerType(), True),\n",
+    "    ])    \n",
+    "    feature_df = explode_df.repartition(NUM_PARTITIONS).rdd.mapPartitions(get_all_domain_data_cluster).toDF(schema)\n",
+    "    sample_by_valid_count_cluster(feature_df, domain_df, domain_count)\n",
     "\n",
+    "def sample_by_valid_count_cluster(feature_df: DataFrame, domain_df: DataFrame, domain_count):\n",
+    "    df_with_rand = feature_df.withColumn(\"rand\", expr(\"rand()\"))\n",
+    "    row_num_window_spec = Window.partitionBy(\"domain\").orderBy(col(\"rand\"))\n",
+    "    df_with_row_num = df_with_rand.withColumn(\"row_num\", row_number().over(row_num_window_spec))\n",
+    "    domain_sample_df = df_with_row_num.filter(col(\"row_num\") <= col(\"valid_count\")).drop(\"rand\", \"row_num\", \"valid_count\", \"domain\")\n",
+    "    write_domain_data(domain_sample_df)\n",
+    "    calculating_layout_every_batch_cluster(domain_df, domain_count)\n",
     "\n",
-    "# 计算相似度\n",
-    "def calculating_similarity(feature_dict, feature, max_layer_n):\n",
-    "    for k, v in feature_dict.items():\n",
-    "        if any(similarity(feature, h[\"feature\"], max_layer_n) >= SIMILARITY_THRESHOLD for h in v):\n",
-    "            return int(k)\n",
-    "    return -2\n",
+    "def write_domain_data(domain_sample_df: DataFrame):\n",
+    "    output_file_size_gb = 0.3\n",
+    "    resize_func = spark_resize_file(output_file_size_gb)\n",
+    "    new_output_df = resize_func(domain_sample_df)\n",
+    "    \n",
+    "    config[\"skip_output_version\"] = True\n",
+    "    config['skip_output_check'] = True\n",
+    "    write_any_path(new_output_df, DOMAIN_PATH, config)\n",
+    "    \n",
+    "def calculating_layout_every_batch_cluster(domain_df: DataFrame, domain_count):\n",
+    "    output_schema = StructType([\n",
+    "        StructField('value', StringType(), True),\n",
+    "    ])\n",
+    "    domain_lst = [f for f in list(list_s3_objects(DOMAIN_PATH, recursive=True)) if f.endswith(\".jsonl\")]\n",
+    "    if len(domain_lst) > NUM_PARTITIONS:\n",
+    "        page_content = sc.parallelize(domain_lst, NUM_PARTITIONS)\n",
+    "    else:\n",
+    "        page_content = sc.parallelize(domain_lst, len(domain_lst))\n",
+    "    layout_df = page_content.mapPartitions(parse_layout_cluster).toDF(output_schema)\n",
+    "    write_merge_layout_data(layout_df)\n",
+    "    merge_layout_by_layout_id_cluster(domain_df, domain_count)\n",
     "\n",
+    "def write_merge_layout_data(layout_df: DataFrame):\n",
+    "    config[\"skip_output_version\"] = True\n",
+    "    config['skip_output_check'] = True\n",
+    "    write_any_path(layout_df, BATCH_PATH, config)\n",
     "\n",
-    "# 相似度解析\n",
-    "def parse_similarity(_iter):\n",
-    "    s3_doc_writer = get_s3_doctor(\"parse_similarity\")\n",
-    "    error_info = None\n",
-    "    is_no_layout_id = False\n",
-    "    for row in _iter:\n",
-    "        layout_dict = json_loads(row.layout_dict)\n",
-    "        layout_list = layout_dict.get(\"layout_list\", [])\n",
-    "        if (len(layout_list) == 1 and layout_list[0] == -1) or len(layout_list) > MAX_LAYOUTLIST_SIZE:\n",
-    "            is_no_layout_id = True\n",
-    "        feature_dict = layout_dict.get(\"feature_dict\", {})\n",
-    "        max_layer_n = layout_dict.get(\"max_layer_n\", 5)\n",
-    "        domain = row.domain\n",
-    "        count = row.count\n",
-    "        file_d = row.file\n",
-    "        offset = file_d.offset\n",
-    "        length = file_d.length\n",
-    "        record_count = file_d.record_count\n",
-    "        idx = 0\n",
-    "        try:\n",
-    "            for detail_data in read_s3_lines_with_range(file_d[\"filepath\"], use_stream=True,\n",
-    "                                                        bytes_range=(offset, offset + length)):\n",
-    "                idx += 1\n",
-    "                if idx > record_count:\n",
-    "                    break\n",
-    "                detail_data = json_loads(detail_data)\n",
-    "                if is_no_layout_id is True:\n",
-    "                    layout_id = -1\n",
-    "                else:\n",
-    "                    try:\n",
-    "                        feature = get_feature(detail_data[\"html\"])\n",
-    "                        if feature is None or not feature.get(\"tags\"):\n",
-    "                            layout_id = -3\n",
-    "                        else:\n",
-    "                            layout_id = func_timeout(SIM_TIMEOUT_SECONDS, calculating_similarity,\n",
-    "                                                     (feature_dict, feature, max_layer_n,))\n",
-    "                    except FunctionTimedOut as e:\n",
-    "                        error_info = {\n",
-    "                            \"error_type\": type(e).__name__,\n",
-    "                            \"error_message\": str(e),\n",
-    "                            \"traceback\": traceback.format_exc(),\n",
-    "                            \"input_data\": str(detail_data),\n",
-    "                            \"timestamp\": datetime.now().isoformat()\n",
-    "                        }\n",
-    "                        s3_doc_writer.write(error_info)\n",
-    "                        continue\n",
-    "                    except Exception as e:\n",
-    "                        error_info = {\n",
-    "                            \"error_type\": type(e).__name__,\n",
-    "                            \"error_message\": str(e),\n",
-    "                            \"traceback\": traceback.format_exc(),\n",
-    "                            \"input_data\": str(detail_data),\n",
-    "                            \"timestamp\": datetime.now().isoformat()\n",
-    "                        }\n",
-    "                        s3_doc_writer.write(error_info)\n",
-    "                        continue\n",
-    "                line = {\n",
-    "                    \"track_id\": detail_data[\"track_id\"],\n",
+    "def merge_layout_by_layout_id_cluster(domain_df: DataFrame, domain_count):\n",
+    "    mer_output_schema = StructType([\n",
+    "        StructField('layout_dict', StringType(), True),\n",
+    "        StructField('domain', StringType(), True),\n",
+    "    ])\n",
+    "\n",
+    "    batch_lst = list(list_s3_objects(BATCH_PATH, recursive=False))\n",
+    "    batch_page_content = sc.parallelize(batch_lst, len(batch_lst))\n",
+    "    merge_layout_df = batch_page_content.mapPartitions(merge_layout_cluster).toDF(mer_output_schema)\n",
+    "    join_to_write_cluster(merge_layout_df, domain_df)\n",
+    "\n",
+    "def join_to_write_cluster(merge_layout_df: DataFrame, domain_df: DataFrame):\n",
+    "    join_df = domain_df.join(merge_layout_df, on=\"domain\", how=\"left\")\n",
+    "\n",
+    "    struct_col = struct(join_df[\"domain\"], join_df[\"count\"], join_df[\"files\"], join_df[\"layout_dict\"])\n",
+    "    output_df = join_df.withColumn(\"value\", to_json(struct_col)).select(\"value\")\n",
+    "\n",
+    "    config[\"skip_output_version\"] = True\n",
+    "    config['skip_output_check'] = True\n",
+    "    write_any_path(output_df, OUTPUT_PATH, config)\n",
+    "\n",
+    "def parse_cluster_path(batch):\n",
+    "    path_list = batch.split('/')\n",
+    "    global OUTPUT_PATH\n",
+    "    OUTPUT_PATH = f\"{CLUSTER_LAYOUT_BASE_OUTPUT_PATH}{path_list[-2]}/{path_list[-1].replace('.jsonl', '')}/\"\n",
+    "    global DOMAIN_PATH\n",
+    "    DOMAIN_PATH = f\"{BASE_DOMAIN_PATH}{path_list[-2]}/{path_list[-1].replace('.jsonl', '')}/\"\n",
+    "    global BATCH_PATH\n",
+    "    BATCH_PATH = F\"{BASE_BATCH_PATH}{path_list[-2]}/{path_list[-1].replace('.jsonl', '')}/\"\n",
+    "    return path_list\n",
+    "\n",
+    "def parse_cluster_input_path(input_path):\n",
+    "    try:\n",
+    "        with open(\"./is_layout_complated.txt\", \"r\", encoding=\"utf-8\") as f:\n",
+    "            content = f.read()\n",
+    "            already_exist = [i for i in content.split(\",\") if i] if content else []\n",
+    "    except:\n",
+    "        already_exist = []\n",
+    "    input_path_lst = [i for i in [f.replace(\"s3\", \"s3a\") for f in list(list_s3_objects(input_path, recursive=True)) if f.endswith(\".jsonl\")] if i not in already_exist]\n",
+    "    return input_path_lst\n",
+    "\n",
+    "def layout_main(big_batch):\n",
+    "    input_path_lst = parse_cluster_input_path(big_batch)\n",
+    "    for batch in input_path_lst:\n",
+    "        path_list = parse_cluster_path(batch)\n",
+    "        spark_name = '_'.join([path_list[-2], path_list[-1].replace('.jsonl', '')])\n",
+    "        create_spark(spark_name)\n",
+    "        get_cluster_input_df(batch, path_list)\n",
+    "        close_spark()\n",
+    "        with open(\"./is_layout_complated.txt\", \"a\", encoding=\"utf-8\") as f:\n",
+    "            f.write(\",\".join(batch) + \",\")\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "13",
+   "metadata": {},
+   "source": [
+    "# cluster_layout_little"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "14",
+   "metadata": {},
+   "source": [
+    "## utils"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "15",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_all_domain_data_cluster_little(_iter):\n",
+    "    s3_doc_writer = get_s3_doctor(\"get_feature\")\n",
+    "    error_info = None\n",
+    "    for row in _iter:\n",
+    "        valid_count = row.valid_count\n",
+    "        file_d = row.file\n",
+    "        offset = file_d.offset\n",
+    "        record_count = file_d.record_count\n",
+    "        try:\n",
+    "            for detail_data in read_s3_by_offset_limit(file_d.filepath, offset, limit=record_count):\n",
+    "                try:\n",
+    "                    detail_data = json_loads(detail_data.value)\n",
+    "                    feature = get_feature(detail_data[\"html\"])\n",
+    "                    if feature is None or not feature.get(\"tags\"):\n",
+    "                        continue\n",
+    "                    layer_n, total_n = sum_tags(feature[\"tags\"])\n",
+    "                    line = {\n",
+    "                        \"date\": detail_data[\"date\"],\n",
+    "                        \"track_id\": detail_data[\"track_id\"],\n",
+    "                        \"url\": detail_data[\"url\"],\n",
+    "                        \"raw_warc_path\": detail_data[\"raw_warc_path\"],\n",
+    "                        \"domain\": row.domain,\n",
+    "                        \"sub_path\": row.domain,\n",
+    "                        \"valid_count\": valid_count,\n",
+    "                        \"feature\": feature,\n",
+    "                        \"layer_n\": layer_n,\n",
+    "                        \"total_n\": total_n\n",
+    "                    }\n",
+    "                    line = json_dumps(line)\n",
+    "                    if len(line) < MAX_OUTPUT_ROW_SIZE:\n",
+    "                        yield Row(**{\"value\": line, \"domain\": row.domain, \"valid_count\": valid_count})\n",
+    "                    else:\n",
+    "                        error_info = {\n",
+    "                            \"error_type\": \"EOFError\",\n",
+    "                            \"error_message\": \"Memory more than required for vector is (2147483648)\",\n",
+    "                            \"traceback\": traceback.format_exc(),\n",
+    "                            \"input_data\": detail_data,\n",
+    "                            \"timestamp\": datetime.now().isoformat()\n",
+    "                        }\n",
+    "                        s3_doc_writer.write(error_info)\n",
+    "                        continue\n",
+    "                except Exception as e:\n",
+    "                    error_info = {\n",
+    "                        \"error_type\": type(e).__name__,\n",
+    "                        \"error_message\": str(e),\n",
+    "                        \"traceback\": traceback.format_exc(),\n",
+    "                        \"input_data\": detail_data,\n",
+    "                        \"timestamp\": datetime.now().isoformat()\n",
+    "                    }\n",
+    "                    s3_doc_writer.write(error_info)\n",
+    "                    continue\n",
+    "        except Exception as e:\n",
+    "            error_info = {\n",
+    "                \"error_type\": type(e).__name__,\n",
+    "                \"error_message\": str(e),\n",
+    "                \"traceback\": traceback.format_exc(),\n",
+    "                \"input_data\": str(row),\n",
+    "                \"timestamp\": datetime.now().isoformat()\n",
+    "            }\n",
+    "            s3_doc_writer.write(error_info)\n",
+    "            continue\n",
+    "                        \n",
+    "    if error_info:\n",
+    "        s3_doc_writer.flush()\n",
+    "\n",
+    "def crush_output_data_cluster_little(output_data):\n",
+    "    output_data_json = json_dumps(output_data)\n",
+    "    if len(output_data_json) < MAX_OUTPUT_ROW_SIZE:\n",
+    "        return output_data_json\n",
+    "    else:\n",
+    "        return output_data\n",
+    "\n",
+    "def parse_batch_data_cluster_little(domain_list):\n",
+    "    sample_list = []\n",
+    "    for index, domain_v in domain_list.iterrows():\n",
+    "        if index != 0 and not index % 800:\n",
+    "            yield sample_list\n",
+    "            sample_list = []\n",
+    "        domain_data = json_loads(domain_v.value)\n",
+    "        try:\n",
+    "            lines = {\n",
+    "                \"feature\": domain_data[\"feature\"],\n",
+    "                \"layer_n\": domain_data[\"layer_n\"],\n",
+    "                \"total_n\": domain_data[\"total_n\"],\n",
+    "                \"track_id\": domain_data[\"track_id\"],\n",
+    "                \"url\": domain_data[\"url\"],\n",
+    "                \"domain\": domain_data[\"domain\"],\n",
+    "                \"raw_warc_path\": domain_data[\"raw_warc_path\"],\n",
+    "                \"date\": domain_data[\"date\"]\n",
+    "            }\n",
+    "            sample_list.append(lines)\n",
+    "        except:\n",
+    "            pass\n",
+    "    if sample_list:\n",
+    "        yield sample_list\n",
+    "\n",
+    "def calculating_layout_cluster_little(current_host_name, sample_list):\n",
+    "    cluster_datas, layout_list = cluster_html_struct(sample_list)\n",
+    "    feature_dict = defaultdict(list)\n",
+    "    max_layer_n = cluster_datas[0][\"max_layer_n\"]\n",
+    "    # 每个layout类别抽取3个网页\n",
+    "    for r in cluster_datas:\n",
+    "        layout_id = r[\"layout_id\"]\n",
+    "        if layout_id == -1:\n",
+    "            continue\n",
+    "        if len(feature_dict[layout_id]) < 3:\n",
+    "            cr = copy(r)\n",
+    "            feature_dict[layout_id].append(cr)\n",
+    "    if layout_list:\n",
+    "        layout_tmp_dict = crush_output_data_cluster_little({\"domain\": current_host_name, \"sub_path\": current_host_name, \"feature_dict\": dict(feature_dict), \"layout_list\": layout_list, \"max_layer_n\": max_layer_n})\n",
+    "        yield layout_tmp_dict\n",
+    "\n",
+    "def parse_layout_cluster_little(domain_list):\n",
+    "    s3_doc_writer = get_s3_doctor(\"parse_layout\")\n",
+    "    error_info = None\n",
+    "    current_host_name = domain_list[\"domain\"].unique()[0]\n",
+    "    try:\n",
+    "        for sample_list in parse_batch_data_cluster_little(domain_list):\n",
+    "            try:\n",
+    "                if len(sample_list) > 1:\n",
+    "                    current_host_name = sample_list[0][\"domain\"]\n",
+    "                    for line in func_timeout(TIMEOUT_SECONDS, calculating_layout_cluster_little, (current_host_name, sample_list,)):\n",
+    "                        if isinstance(line, str):\n",
+    "                            yield {\"value\": line, \"domain\": current_host_name}\n",
+    "                        elif isinstance(line, Dict):\n",
+    "                            error_info = {\n",
+    "                                \"error_type\": \"MemoryError by row\",\n",
+    "                                \"error_message\": \"MemoryError by row\",\n",
+    "                                \"traceback\": traceback.format_exc(),\n",
+    "                                \"input_data\": line,\n",
+    "                                \"timestamp\": datetime.now().isoformat()\n",
+    "                            }\n",
+    "                            s3_doc_writer.write(error_info)\n",
+    "                            continue\n",
+    "            except FunctionTimedOut as e:\n",
+    "                error_info = {\n",
+    "                    \"error_type\": type(e).__name__,\n",
+    "                    \"error_message\": str(e),\n",
+    "                    \"traceback\": traceback.format_exc(),\n",
+    "                    \"input_data\": str(sample_list),\n",
+    "                    \"timestamp\": datetime.now().isoformat()\n",
+    "                }\n",
+    "                s3_doc_writer.write(error_info)\n",
+    "                continue\n",
+    "            except Exception as e:\n",
+    "                error_info = {\n",
+    "                    \"error_type\": type(e).__name__,\n",
+    "                    \"error_message\": str(e),\n",
+    "                    \"traceback\": traceback.format_exc(),\n",
+    "                    \"input_data\": str(sample_list),\n",
+    "                    \"timestamp\": datetime.now().isoformat()\n",
+    "                }\n",
+    "                s3_doc_writer.write(error_info)\n",
+    "                continue\n",
+    "    except Exception as e:\n",
+    "        error_info = {\n",
+    "            \"error_type\": type(e).__name__,\n",
+    "            \"error_message\": str(e),\n",
+    "            \"traceback\": traceback.format_exc(),\n",
+    "            \"input_data\": current_host_name,\n",
+    "            \"timestamp\": datetime.now().isoformat()\n",
+    "        }\n",
+    "        s3_doc_writer.write(error_info)\n",
+    "    if error_info:\n",
+    "        s3_doc_writer.flush()\n",
+    "\n",
+    "def layout_similarity_cluster_little(layout_d1, layout_d2):\n",
+    "    max_layer_n = max(layout_d1[\"max_layer_n\"], layout_d2[\"max_layer_n\"])\n",
+    "    layout_last = layout_d1\n",
+    "    layout_last[\"max_layer_n\"] = max_layer_n\n",
+    "    layout_list1 = layout_d1[\"layout_list\"]\n",
+    "    layout_list2 = layout_d2[\"layout_list\"]\n",
+    "    if len(layout_list1) > MAX_LAYOUTLIST_SIZE or len(layout_list2) > MAX_LAYOUTLIST_SIZE:\n",
+    "        return layout_d1 if len(layout_list1) > len(layout_list2) else layout_d2\n",
+    "    max_layout_id = max(layout_list1)\n",
+    "    feature_dict1 = layout_d1[\"feature_dict\"]\n",
+    "    feature_dict2 = layout_d2[\"feature_dict\"]\n",
+    "    ls_v = []\n",
+    "    [ls_v.extend(v) for k, v in feature_dict1.items()]\n",
+    "    exist_layout_num = 0\n",
+    "    for new_k, new_v in feature_dict2.items():\n",
+    "        add_tmp_dict_v = True\n",
+    "        for new_d in new_v:\n",
+    "            if any(similarity(new_d[\"feature\"], h[\"feature\"], max_layer_n) >= SIMILARITY_THRESHOLD for h in ls_v):\n",
+    "                add_tmp_dict_v = False\n",
+    "                exist_layout_num += 1\n",
+    "                break\n",
+    "        if add_tmp_dict_v is True:\n",
+    "            max_layout_id += 1\n",
+    "            layout_last[\"feature_dict\"][str(max_layout_id)] = new_v\n",
+    "            layout_last[\"layout_list\"].append(max_layout_id)\n",
+    "    return layout_last\n",
+    "                    \n",
+    "def merge_layout_cluster_little(domain_list):\n",
+    "    s3_doc_writer = get_s3_doctor(\"merge_layout\")\n",
+    "    error_info = None\n",
+    "    pre_domain = {}\n",
+    "    domain_v = None\n",
+    "    # 两两进行合并\n",
+    "    for index, domain_v in domain_list.iterrows():\n",
+    "        if index == 0:\n",
+    "            pre_domain = json_loads(domain_v.value)\n",
+    "        else:\n",
+    "            try:\n",
+    "                pre_domain = layout_similarity_cluster_little(pre_domain, json_loads(domain_v.value))\n",
+    "            except Exception as e:\n",
+    "                error_info = {\n",
+    "                    \"error_type\": type(e).__name__,\n",
+    "                    \"error_message\": str(e),\n",
+    "                    \"traceback\": traceback.format_exc(),\n",
+    "                    \"input_data\": domain_v.value,\n",
+    "                    \"timestamp\": datetime.now().isoformat()\n",
+    "                }\n",
+    "                s3_doc_writer.write(error_info)\n",
+    "                \n",
+    "    if pre_domain:\n",
+    "        output_data = json_dumps(pre_domain)\n",
+    "        if len(output_data) < MAX_OUTPUT_ROW_SIZE:\n",
+    "            return pd.DataFrame({\"layout_dict\": output_data, \"domain\": pre_domain[\"domain\"]}, index=[0])\n",
+    "        else:\n",
+    "            error_info = {\n",
+    "                \"error_type\": \"EOFError\",\n",
+    "                \"error_message\": \"Memory more than required for vector is (2147483648)\",\n",
+    "                \"traceback\": traceback.format_exc(),\n",
+    "                \"input_data\": domain_v.value,\n",
+    "                \"timestamp\": datetime.now().isoformat()\n",
+    "            }\n",
+    "            s3_doc_writer.write(error_info)\n",
+    "    if error_info:\n",
+    "        s3_doc_writer.flush()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "16",
+   "metadata": {},
+   "source": [
+    "## main func"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "17",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# get data by domain\n",
+    "def get_input_df_cluster_little(batch: str):\n",
+    "    batch = crush_read_path(batch)\n",
+    "    input_df = spark.read.format(\"json\").load(batch)\n",
+    "    domain_count = input_df.count()\n",
+    "    input_valid_df = parse_valid_data_cluster_little(input_df, batch)\n",
+    "    parse_explode_df_cluster_little(input_valid_df, domain_count)\n",
+    "    \n",
+    "def parse_valid_data_cluster_little(input_valid_df: DataFrame, batch: str):\n",
+    "    data_range = batch.split(\"/\")[-2].split(\"_\")[0]\n",
+    "    data_count_rate = RATE_MAP.get(data_range, 1)\n",
+    "\n",
+    "    df_with_valid_c = input_valid_df.withColumn(\"valid_count\", \n",
+    "                                          when(col(\"count\") <= 800, col(\"count\"))\n",
+    "                                          .otherwise(_round(col(\"count\") * data_count_rate).cast(\"integer\"))\n",
+    "                                         )\n",
+    "    \n",
+    "    return df_with_valid_c\n",
+    "\n",
+    "def parse_explode_df_cluster_little(domain_df: DataFrame, domain_count):\n",
+    "    explode_df = domain_df.withColumn(\"file\", explode(col(\"files\"))).drop(\"files\")\n",
+    "    parse_get_feature_df_cluster_little(explode_df, domain_df, domain_count)\n",
+    "\n",
+    "def parse_get_feature_df_cluster_little(explode_df: DataFrame, domain_df: DataFrame, domain_count):\n",
+    "    schema = StructType([\n",
+    "        StructField('value', StringType(), True),\n",
+    "        StructField('domain', StringType(), True),\n",
+    "        StructField('valid_count', IntegerType(), True),\n",
+    "    ])    \n",
+    "    feature_df = explode_df.repartition(NUM_PARTITIONS).rdd.mapPartitions(get_all_domain_data_cluster_little).toDF(schema)\n",
+    "    sample_by_valid_count_cluster_little(feature_df, domain_df, domain_count)\n",
+    "\n",
+    "def sample_by_valid_count_cluster_little(feature_df: DataFrame, domain_df: DataFrame, domain_count):\n",
+    "    df_with_rand = feature_df.withColumn(\"rand\", expr(\"rand()\"))\n",
+    "    row_num_window_spec = Window.partitionBy(\"domain\").orderBy(col(\"rand\"))\n",
+    "    df_with_row_num = df_with_rand.withColumn(\"row_num\", row_number().over(row_num_window_spec))\n",
+    "    domain_sample_df = df_with_row_num.filter(col(\"row_num\") <= col(\"valid_count\")).drop(\"rand\", \"row_num\")\n",
+    "    calculating_layout_every_batch_cluster_little(domain_sample_df, domain_df, domain_count)\n",
+    "\n",
+    "def calculating_layout_every_batch_cluster_little(domain_sample_df: DataFrame, domain_df: DataFrame, domain_count):\n",
+    "    output_schema = StructType([\n",
+    "        StructField('value', StringType(), True),\n",
+    "        StructField('domain', StringType(), True),\n",
+    "    ])\n",
+    "    \n",
+    "    @pandas_udf(output_schema, PandasUDFType.GROUPED_MAP)\n",
+    "    def pandas_udf_custom_process(data_collected_series):\n",
+    "        result = parse_layout_cluster_little(data_collected_series)\n",
+    "        if result:\n",
+    "            return pd.DataFrame(result)\n",
+    "    \n",
+    "    rep_df = domain_sample_df.repartition(NUM_PARTITIONS, col(\"domain\"))\n",
+    "    layout_df = rep_df.groupby('domain').apply(pandas_udf_custom_process)\n",
+    "    merge_layout_by_layout_id_cluster_little(layout_df, domain_df, domain_count)\n",
+    "\n",
+    "\n",
+    "def merge_layout_by_layout_id_cluster_little(layout_df: DataFrame, domain_df: DataFrame, domain_count):\n",
+    "    output_schema = StructType([\n",
+    "        StructField('layout_dict', StringType(), True),\n",
+    "        StructField('domain', StringType(), True),\n",
+    "    ])\n",
+    "\n",
+    "    merge_rep_df = layout_df.repartition(NUM_PARTITIONS, col(\"domain\"))\n",
+    "    merge_layout_df = merge_rep_df.groupby('domain').applyInPandas(merge_layout_cluster_little, output_schema)\n",
+    "    join_to_write_cluster_little(merge_layout_df, domain_df)\n",
+    "\n",
+    "def join_to_write_cluster_little(merge_layout_df: DataFrame, domain_df: DataFrame):\n",
+    "    join_df = domain_df.join(merge_layout_df, on=\"domain\", how=\"left\")\n",
+    "\n",
+    "    struct_col = struct(join_df[\"domain\"], join_df[\"count\"], join_df[\"files\"], join_df[\"layout_dict\"])\n",
+    "    output_df = join_df.withColumn(\"value\", to_json(struct_col)).select(\"value\")\n",
+    "\n",
+    "    config[\"skip_output_version\"] = True\n",
+    "    config['skip_output_check'] = True\n",
+    "    write_any_path(output_df, OUTPUT_PATH, config)\n",
+    "\n",
+    "def parse_path_cluster_little(batch):\n",
+    "    path_list = batch.split('/')\n",
+    "    global OUTPUT_PATH\n",
+    "    OUTPUT_PATH = f\"{CLUSTER_LAYOUT_BASE_OUTPUT_PATH}{path_list[-2]}/{path_list[-1].replace('.jsonl', '')}/\"\n",
+    "    return path_list\n",
+    "\n",
+    "def parse_input_path_cluster_little(input_path):\n",
+    "    try:\n",
+    "        with open(\"./is_little_layout_complated.txt\", \"r\", encoding=\"utf-8\") as f:\n",
+    "            content = f.read()\n",
+    "            already_exist = [i for i in content.split(\",\") if i] if content else []\n",
+    "    except:\n",
+    "        already_exist = []\n",
+    "    input_path_lst = [i for i in [f.replace(\"s3\", \"s3a\") for f in list(list_s3_objects(input_path, recursive=True)) if f.endswith(\".jsonl\")] if i not in already_exist]\n",
+    "    return input_path_lst\n",
+    "\n",
+    "def layout_little_main(big_batch):\n",
+    "    input_path_lst = parse_input_path_cluster_little(big_batch)\n",
+    "    for batch in input_path_lst:\n",
+    "        path_list = parse_path_cluster_little(batch)\n",
+    "        spark_name = '_'.join([path_list[-2], path_list[-1].replace('.jsonl', '')])\n",
+    "        create_spark(spark_name)\n",
+    "        get_input_df_cluster_little(batch)\n",
+    "        close_spark()\n",
+    "        with open(\"./is_little_layout_complated.txt\", \"a\", encoding=\"utf-8\") as f:\n",
+    "            f.write(batch + \",\")\n",
+    "            "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "18",
+   "metadata": {},
+   "source": [
+    "# layout_sim"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "19",
+   "metadata": {},
+   "source": [
+    "## utils"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "20",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def parse_output_data(row_data):\n",
+    "    row_data.update({\"layout_id\": '_'.join([row_data[\"url_host_name\"], str(row_data[\"layout_id\"])])})\n",
+    "    new_row_data_json = json_dumps(row_data)\n",
+    "    if len(new_row_data_json) < MAX_OUTPUT_ROW_SIZE:\n",
+    "        return {\"value\": new_row_data_json, \"layout_id\": row_data[\"layout_id\"]}\n",
+    "    return None\n",
+    "        \n",
+    "def calculating_similarity(feature_dict, feature, max_layer_n):\n",
+    "    for k, v in feature_dict.items():\n",
+    "        if any(similarity(feature, h[\"feature\"], max_layer_n) >= SIMILARITY_THRESHOLD for h in v):\n",
+    "            return int(k)\n",
+    "    return -2\n",
+    "\n",
+    "def parse_similarity(_iter):\n",
+    "    s3_doc_writer = get_s3_doctor(\"parse_similarity\")\n",
+    "    error_info = None\n",
+    "    for row in _iter:\n",
+    "        is_no_layout_id = False\n",
+    "        layout_dict = json_loads(row.layout_dict) if row.layout_dict else {}\n",
+    "        layout_list = layout_dict.get(\"layout_list\", [])\n",
+    "        if not layout_list or (len(layout_list)==1 and layout_list[0]==-1):\n",
+    "            is_no_layout_id = True\n",
+    "        feature_dict = layout_dict.get(\"feature_dict\", {})\n",
+    "        max_layer_n = layout_dict.get(\"max_layer_n\", 5)\n",
+    "        domain = row.domain\n",
+    "        file_d = row.file\n",
+    "        offset = file_d.offset\n",
+    "        record_count = file_d.record_count\n",
+    "        try:\n",
+    "            for detail_data in read_s3_by_offset_limit(file_d.filepath, offset, limit=record_count):\n",
+    "                detail_data = json_loads(detail_data.value)\n",
+    "                if is_no_layout_id is True:\n",
+    "                    layout_id = -1\n",
+    "                else:\n",
+    "                    try:\n",
+    "                        feature = get_feature(detail_data[\"html\"])\n",
+    "                        if feature is None or not feature.get(\"tags\"):\n",
+    "                            layout_id = -2\n",
+    "                        else:\n",
+    "                            layout_id = func_timeout(SIM_TIMEOUT_SECONDS, calculating_similarity, (feature_dict, feature, max_layer_n,))\n",
+    "                    except FunctionTimedOut as e:\n",
+    "                        error_info = {\n",
+    "                            \"error_type\": type(e).__name__,\n",
+    "                            \"error_message\": str(e),\n",
+    "                            \"traceback\": traceback.format_exc(),\n",
+    "                            \"input_data\": str(detail_data),\n",
+    "                            \"timestamp\": datetime.now().isoformat()\n",
+    "                        }\n",
+    "                        s3_doc_writer.write(error_info)\n",
+    "                        layout_id = -2\n",
+    "                    except Exception as e:\n",
+    "                        error_info = {\n",
+    "                            \"error_type\": type(e).__name__,\n",
+    "                            \"error_message\": str(e),\n",
+    "                            \"traceback\": traceback.format_exc(),\n",
+    "                            \"input_data\": str(detail_data),\n",
+    "                            \"timestamp\": datetime.now().isoformat()\n",
+    "                        }\n",
+    "                        s3_doc_writer.write(error_info)\n",
+    "                        layout_id = -2\n",
+    "                line = {\n",
+    "                    \"track_id\": detail_data[\"track_id\"],\n",
     "                    \"html\": detail_data[\"html\"],\n",
     "                    \"url\": detail_data[\"url\"],\n",
     "                    \"layout_id\": layout_id,\n",
@@ -486,34 +1145,35 @@
     "            }\n",
     "            s3_doc_writer.write(error_info)\n",
     "            continue\n",
-    "\n",
+    "                    \n",
     "    if error_info:\n",
     "        s3_doc_writer.flush()\n",
     "\n",
-    "\n",
-    "# 依据layout 数据入s3\n",
     "def save_s3_by_layout(outdata_list):\n",
     "    s3_doc_writer = get_s3_doctor(\"similarity_write\")\n",
     "    error_info = None\n",
     "    json_line = None\n",
     "    s3_writer = None\n",
     "    index = 0\n",
-    "    output_file_size = 0\n",
+    "    offset = 0\n",
+    "    offset_index = 0\n",
     "    for index, row in enumerate(outdata_list):\n",
     "        try:\n",
-    "            if output_file_size > MAX_OUTPUT_FILE_SIZE:\n",
+    "            if offset > MAX_OUTPUT_FILE_SIZE:\n",
     "                if json_line:\n",
     "                    s3_writer.flush()\n",
     "                    s3_writer = None\n",
-    "                    output_file_size = 0\n",
+    "                    offset = 0\n",
     "            json_line = json_loads(row.value)\n",
+    "            json_line[\"offset\"] = offset\n",
     "            if s3_writer:\n",
-    "                output_file_size += s3_writer.write(json_line)\n",
+    "                offset += s3_writer.write(json_line)\n",
     "            else:\n",
-    "                partition_id = str(uuid.uuid4())\n",
-    "                output_file = f\"{OUTPUT_PATH}{partition_id}.jsonl.gz\"\n",
+    "                partition_id = row.partition_id\n",
+    "                offset_index = offset_index + 1\n",
+    "                output_file = f\"{OUTPUT_PATH}{partition_id}_{offset_index}.jsonl.gz\"\n",
     "                s3_writer = S3DocWriter(output_file)\n",
-    "                output_file_size += s3_writer.write(json_line)\n",
+    "                offset += s3_writer.write(json_line)\n",
     "        except Exception as e:\n",
     "            error_info = {\n",
     "                \"error_type\": type(e).__name__,\n",
@@ -529,346 +1189,99 @@
     "        s3_writer.flush()\n",
     "    if error_info:\n",
     "        s3_doc_writer.flush()\n",
-    "    yield {\"write_size\": index}\n",
-    "\n",
-    "\n",
-    "# 读取数据，生成index相关字段\n",
-    "def read_to_index(_iter):\n",
-    "    s3_doc_writer = get_s3_doctor(\"layout_index\")\n",
-    "    error_info = None\n",
-    "    for path in _iter:\n",
-    "        try:\n",
-    "            for row in read_s3_rows(path, use_stream=True):\n",
-    "                try:\n",
-    "                    detail_data = json_loads(row.value)\n",
-    "                    layout_id = detail_data[\"layout_id\"]\n",
-    "                    url_host_name = detail_data[\"url_host_name\"]\n",
-    "                    offset, length = map(int, row.loc.split(\"bytes=\")[-1].split(\",\"))\n",
-    "                    yield {\"url_host_name\": url_host_name, \"filepath\": path, \"layout_id\": layout_id, \"offset\": offset,\n",
-    "                           \"length\": length}\n",
-    "                except Exception as e:\n",
-    "                    error_info = {\n",
-    "                        \"error_type\": type(e).__name__,\n",
-    "                        \"error_message\": str(e),\n",
-    "                        \"traceback\": traceback.format_exc(),\n",
-    "                        \"input_data\": row.value,\n",
-    "                        \"timestamp\": datetime.now().isoformat()\n",
-    "                    }\n",
-    "                    s3_doc_writer.write(error_info)\n",
-    "                    continue\n",
-    "        except Exception as e:\n",
-    "            error_info = {\n",
-    "                \"error_type\": type(e).__name__,\n",
-    "                \"error_message\": str(e),\n",
-    "                \"traceback\": traceback.format_exc(),\n",
-    "                \"input_data\": path,\n",
-    "                \"timestamp\": datetime.now().isoformat()\n",
-    "            }\n",
-    "            s3_doc_writer.write(error_info)\n",
-    "    if error_info is not None:\n",
-    "        s3_doc_writer.flush()\n",
-    "\n",
-    "\n",
-    "# 创建spark\n",
-    "def create_spark(spark_name: str):\n",
-    "    global spark\n",
-    "    spark = new_spark_session(f\"layout.{spark_name}\", config)\n",
-    "    global sc\n",
-    "    sc = spark.sparkContext\n",
-    "\n",
-    "\n",
-    "# 关闭spark\n",
-    "def close_spark():\n",
-    "    spark.stop()"
+    "    yield {\"write_size\": index}\n"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "3",
+   "id": "21",
    "metadata": {},
    "source": [
-    "# main func"
+    "## main func"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4",
+   "id": "22",
    "metadata": {},
    "outputs": [],
    "source": [
-    "\"\"\"第一步 choose domain\"\"\"\n",
-    "\n",
-    "\n",
-    "def get_input_path(INPUT_PATH):\n",
-    "    try:\n",
-    "        with open(\"./already_exist.txt\", \"r\", encoding=\"utf-8\") as f:\n",
-    "            content = f.read()\n",
-    "            already_exist = eval(content) if content else []\n",
-    "    except:\n",
-    "        already_exist = []\n",
-    "    input_path_lst = [f.replace(\"s3\", \"s3a\") for f in list(list_s3_objects(INPUT_PATH, recursive=True)) if\n",
-    "                      f.endswith(\".jsonl\") and f not in already_exist]\n",
-    "    if input_path_lst:\n",
-    "        with open(\"./already_exist.txt\", \"w\", encoding=\"utf-8\") as f:\n",
-    "            already_exist.extend(input_path_lst)\n",
-    "            f.write(str(already_exist))\n",
-    "    get_choose_input_df(input_path_lst)\n",
-    "\n",
-    "\n",
-    "def get_choose_input_df(input_path_lst):\n",
-    "    df = spark.read.format(\"json\").load(input_path_lst)\n",
-    "    df.cache()\n",
-    "    filter_batch_df(df)\n",
-    "\n",
-    "\n",
-    "def filter_batch_df(df: DataFrame):\n",
-    "    for i in [3, 2, 1, 0]:\n",
-    "        global count_data\n",
-    "        count_data = COUNT_MAP[i]\n",
-    "        if count_data[2] is None:\n",
-    "            filter_df = df.filter(col(\"count\") > count_data[1])\n",
-    "        else:\n",
-    "            filter_df = df.filter(col(\"count\") > count_data[1]).filter(col(\"count\") <= count_data[2])\n",
-    "        total_batch_count(filter_df)\n",
-    "        parse_partition_id(filter_df, i)\n",
-    "\n",
-    "\n",
-    "def total_batch_count(filter_df: DataFrame):\n",
-    "    global total_count\n",
-    "    total_count = filter_df.select(_sum(\"count\")).collect()[0][0]\n",
-    "\n",
-    "\n",
-    "def parse_partition_id(filter_df: DataFrame, i: int):\n",
-    "    NUM_PARTITIONS = round(total_count / DATA_SIZE_PER_BATCH)\n",
-    "    if i == 0:\n",
-    "        repart_df = filter_df.select([\"domain\"]).repartition(NUM_PARTITIONS, col(\"domain\"))\n",
-    "        partition_df = repart_df.withColumn(\"partition_id\", spark_partition_id())\n",
-    "    else:\n",
-    "        weight_datas = filter_df.select([\"domain\", \"count\"]).collect()\n",
-    "        partition_list = list(divide_list_to_chunks(weight_datas, NUM_PARTITIONS))\n",
-    "        partition_df = spark.createDataFrame(partition_list)\n",
-    "    join_to_write(filter_df, partition_df)\n",
-    "\n",
-    "\n",
-    "def join_to_write(filter_df: DataFrame, partition_df: DataFrame, ):\n",
-    "    df_with_weight = filter_df.join(partition_df, on=\"domain\")\n",
-    "    output_schema = StructType([\n",
-    "        StructField('write_size', LongType(), True),\n",
-    "    ])\n",
-    "\n",
-    "    @pandas_udf(output_schema, PandasUDFType.GROUPED_MAP)\n",
-    "    def pandas_udf_repartition(data_collected_series):\n",
-    "        result = write_by_partitionid(data_collected_series)\n",
-    "        if result:\n",
-    "            return pd.DataFrame(result)\n",
-    "\n",
-    "    output_df = df_with_weight.groupby('partition_id').apply(pandas_udf_repartition)\n",
-    "    output_df.count()\n",
-    "\n",
-    "\n",
-    "def choose_main(INPUT_PATH):\n",
-    "    spark_name = \"choose_domain\"\n",
-    "    create_spark(spark_name)\n",
-    "    get_input_path(INPUT_PATH)\n",
-    "    close_spark()\n",
-    "\n",
-    "\n",
-    "\"\"\" 第二步 layout\"\"\"\n",
-    "\n",
-    "\n",
-    "def get_layout_input_df(batch: str):\n",
-    "    input_df = spark.read.format(\"json\").load(batch)\n",
-    "    domain_df = parse_valid_data(input_df, batch)\n",
-    "    domain_count = domain_df.count()\n",
-    "    parse_explode_df(domain_df, domain_count)\n",
-    "\n",
-    "\n",
-    "def parse_valid_data(input_df: DataFrame, batch: str):\n",
-    "    data_range = batch.split(\"/\")[-2].split(\"_\")[0]\n",
-    "    data_count_rate = RATE_MAP.get(data_range, 1)\n",
-    "    domain_df = input_df.withColumn(\"valid_count\", _round(col(\"count\") * data_count_rate).cast(\"integer\"))\n",
-    "    return domain_df\n",
-    "\n",
-    "\n",
-    "def parse_explode_df(domain_df: DataFrame, domain_count):\n",
-    "    explode_df = domain_df.withColumn(\"file\", explode(col(\"files\"))).drop(\"files\")\n",
-    "    parse_get_feature_df(explode_df, domain_df, domain_count)\n",
-    "\n",
-    "\n",
-    "def parse_get_feature_df(explode_df: DataFrame, domain_df: DataFrame, domain_count):\n",
-    "    schema = StructType([\n",
-    "        StructField('value', StringType(), True),\n",
-    "        StructField('domain', StringType(), True),\n",
-    "        StructField('valid_count', IntegerType(), True),\n",
-    "    ])\n",
-    "    feature_df = explode_df.repartition(NUM_PARTITIONS).rdd.mapPartitions(get_all_domain_data).toDF(schema)\n",
-    "    sample_by_valid_count(feature_df, domain_df, domain_count)\n",
-    "\n",
-    "\n",
-    "def sample_by_valid_count(feature_df: DataFrame, domain_df: DataFrame, domain_count):\n",
-    "    df_with_rand = feature_df.withColumn(\"rand\", expr(\"rand()\"))\n",
-    "    row_num_window_spec = Window.partitionBy(\"domain\").orderBy(col(\"rand\"))\n",
-    "    df_with_row_num = df_with_rand.withColumn(\"row_num\", row_number().over(row_num_window_spec))\n",
-    "    domain_sample_df = df_with_row_num.filter(col(\"row_num\") <= col(\"valid_count\")).drop(\"rand\", \"row_num\",\n",
-    "                                                                                         \"valid_count\", \"domain\")\n",
-    "    write_domain_data(domain_sample_df)\n",
-    "    calculating_layout_every_batch(domain_df, domain_count)\n",
-    "\n",
-    "\n",
-    "def write_domain_data(domain_sample_df: DataFrame):\n",
-    "    output_file_size_gb = 0.3\n",
-    "    resize_func = spark_resize_file(output_file_size_gb)\n",
-    "    new_output_df = resize_func(domain_sample_df)\n",
-    "\n",
-    "    config[\"skip_output_version\"] = True\n",
-    "    config['skip_output_check'] = True\n",
-    "    write_any_path(new_output_df, DOMAIN_PATH, config)\n",
-    "\n",
-    "\n",
-    "def calculating_layout_every_batch(domain_df: DataFrame, domain_count):\n",
-    "    output_schema = StructType([\n",
-    "        StructField('value', StringType(), True),\n",
-    "    ])\n",
-    "    domain_lst = [f for f in list(list_s3_objects(DOMAIN_PATH, recursive=True)) if f.endswith(\".jsonl\")]\n",
-    "    page_content = sc.parallelize(domain_lst, len(domain_lst))\n",
-    "    layout_df = page_content.mapPartitions(parse_layout).toDF(output_schema)\n",
-    "    write_merge_layout_data(layout_df)\n",
-    "    merge_layout_by_layout_id(domain_df, domain_count)\n",
-    "\n",
-    "\n",
-    "def write_merge_layout_data(layout_df: DataFrame):\n",
-    "    config[\"skip_output_version\"] = True\n",
-    "    config['skip_output_check'] = True\n",
-    "    write_any_path(layout_df, BATCH_PATH, config)\n",
-    "\n",
-    "\n",
-    "def merge_layout_by_layout_id(domain_df: DataFrame, domain_count):\n",
-    "    mer_output_schema = StructType([\n",
-    "        StructField('layout_dict', StringType(), True),\n",
-    "        StructField('domain', StringType(), True),\n",
-    "    ])\n",
-    "\n",
-    "    batch_lst = list(list_s3_objects(BATCH_PATH, recursive=False))\n",
-    "    batch_page_content = sc.parallelize(batch_lst, len(batch_lst))\n",
-    "    merge_layout_df = batch_page_content.mapPartitions(merge_layout).toDF(mer_output_schema)\n",
-    "    join_to_write(merge_layout_df, domain_df)\n",
-    "\n",
-    "\n",
-    "def join_to_write(merge_layout_df: DataFrame, domain_df: DataFrame):\n",
-    "    join_df = domain_df.join(merge_layout_df, on=\"domain\", how=\"left\")\n",
-    "\n",
-    "    struct_col = struct(join_df[\"domain\"], join_df[\"count\"], join_df[\"files\"], join_df[\"layout_dict\"])\n",
-    "    output_df = join_df.withColumn(\"value\", to_json(struct_col)).select(\"value\")\n",
-    "\n",
-    "    config[\"skip_output_version\"] = True\n",
-    "    config['skip_output_check'] = True\n",
-    "    write_any_path(output_df, OUTPUT_PATH, config)\n",
-    "\n",
-    "\n",
-    "def parse_path(batch):\n",
-    "    path_list = batch.split('/')\n",
-    "    global OUTPUT_PATH\n",
-    "    OUTPUT_PATH = f\"{BASE_LAYOUT_OUTPUT_PATH}{path_list[-2]}/{path_list[-1].replace('.jsonl', '')}/\"\n",
-    "    global DOMAIN_PATH\n",
-    "    DOMAIN_PATH = f\"{BASE_DOMAIN_PATH}{path_list[-2]}/{path_list[-1].replace('.jsonl', '')}/\"\n",
-    "    global BATCH_PATH\n",
-    "    BATCH_PATH = F\"{BASE_BATCH_PATH}{path_list[-2]}/{path_list[-1].replace('.jsonl', '')}/\"\n",
-    "    return path_list\n",
-    "\n",
-    "\n",
-    "def parse_input_path(input_path):\n",
-    "    try:\n",
-    "        with open(\"./is_layout_complated.txt\", \"r\", encoding=\"utf-8\") as f:\n",
-    "            content = f.read()\n",
-    "            already_exist = [i for i in content.split(\",\") if i] if content else []\n",
-    "    except:\n",
-    "        already_exist = []\n",
-    "    input_path_lst = [i for i in [f.replace(\"s3\", \"s3a\") for f in list(list_s3_objects(input_path, recursive=True)) if\n",
-    "                                  f.endswith(\".jsonl\")] if i not in already_exist]\n",
-    "    return input_path_lst\n",
-    "\n",
-    "\n",
-    "def layout_main(INPUT_PATH):\n",
-    "    big_batch_lst = list(list_s3_objects(INPUT_PATH, recursive=False))\n",
-    "    for big_batch in big_batch_lst:\n",
-    "        batch_lst = parse_input_path(big_batch)\n",
-    "        for batch in batch_lst:\n",
-    "            path_list = parse_path(batch)\n",
-    "            spark_name = \"_\".join([path_list[-2], path_list[-1].replace(\".jsonl\", \"\")])\n",
-    "            create_spark(spark_name)\n",
-    "            get_layout_input_df(batch)\n",
-    "            close_spark()\n",
-    "            with open(\"./is_layout_complated.txt\", \"a\", encoding=\"utf-8\") as f:\n",
-    "                f.write(batch + \",\")\n",
-    "\n",
-    "\n",
-    "\"\"\"第三步 similarity\"\"\"\n",
-    "\n",
-    "\n",
-    "def parse_sim_input_path(input_path):\n",
+    "def parse_input_path_sim(input_path):\n",
     "    try:\n",
     "        with open(\"./is_similarity_complated.txt\", \"r\", encoding=\"utf-8\") as f:\n",
     "            content = f.read()\n",
     "            already_exist = [i for i in content.split(\",\") if i] if content else []\n",
     "    except:\n",
     "        already_exist = []\n",
-    "    input_path_lst = [i for i in [f.replace(\"s3\", \"s3a\") for f in list(list_s3_objects(input_path, recursive=False))] if\n",
-    "                      i not in already_exist]\n",
+    "    input_path_lst = [i for i in [f.replace(\"s3\", \"s3a\") for f in list(list_s3_objects(input_path, recursive=False))] if i not in already_exist]\n",
     "    return input_path_lst\n",
     "\n",
-    "\n",
-    "def parse_sim_path(batch):\n",
+    "def parse_path_sim(batch):\n",
     "    path_list = batch.split('/')\n",
+    "    path1 = path_list[-3].split(\"_\")[0]\n",
     "    global OUTPUT_PATH\n",
-    "    OUTPUT_PATH = f\"{BASE_OUTPUT_PATH}{path_list[-3]}/{path_list[-2]}/\"\n",
+    "    OUTPUT_PATH = f\"{LAYOUT_SIM_BASE_OUTPUT_PATH}{path1}/{path_list[-2]}/\"\n",
     "    return path_list\n",
     "\n",
-    "\n",
     "def get_domain_df(batch):\n",
-    "    input_f_df = spark.read.format(\"json\").load(batch).filter(col(\"layout_dict\").isNotNull())\n",
+    "    batch = crush_read_path(batch)\n",
+    "    input_f_df = spark.read.format(\"json\").load(batch)\n",
     "    input_df = input_f_df.withColumn(\"file\", explode(col(\"files\"))).drop(\"files\")\n",
     "    similarity_every_domain(input_df)\n",
     "\n",
-    "\n",
     "def similarity_every_domain(input_df: DataFrame):\n",
     "    schema = StructType([\n",
     "        StructField('value', StringType(), True),\n",
     "        StructField('layout_id', StringType(), True),\n",
     "    ])\n",
-    "\n",
+    "    \n",
     "    all_domain_df = input_df.repartition(NUM_PARTITIONS).rdd.mapPartitions(parse_similarity).toDF(schema)\n",
     "    write_by_layoutid(all_domain_df)\n",
     "\n",
-    "\n",
     "def write_by_layoutid(all_domain_df: DataFrame):\n",
-    "    output_schema = StructType([\n",
-    "        StructField('write_size', IntegerType(), True)\n",
-    "    ])\n",
-    "\n",
-    "    final_df = all_domain_df.repartition(WRITE_NUM_PARTITIONS, col(\"layout_id\")).sortWithinPartitions(col(\"layout_id\"))\n",
+    "    final_df = all_domain_df.repartition(WRITE_NUM_PARTITIONS, col(\"layout_id\")).withColumn(\"partition_id\", spark_partition_id()).sortWithinPartitions(col(\"layout_id\"))\n",
     "    out_df = final_df.rdd.mapPartitions(save_s3_by_layout)\n",
     "    out_df.count()\n",
     "\n",
-    "\n",
-    "def sim_main(INPUT_PATH):\n",
-    "    big_batch_lst = list(list_s3_objects(INPUT_PATH, recursive=False))\n",
+    "def sim_main():\n",
+    "    big_batch_lst = list(list_s3_objects(CLUSTER_LAYOUT_BASE_OUTPUT_PATH, recursive=False))\n",
     "    for big_batch in big_batch_lst:\n",
-    "        batch_lst = parse_sim_input_path(big_batch)\n",
-    "        for batch in batch_lst:\n",
-    "            path_list = parse_sim_path(batch)\n",
-    "            spark_name = \"similarity.\" + \"_\".join([path_list[-3], path_list[-2]])\n",
+    "        input_path_lst = parse_input_path_sim(big_batch)\n",
+    "        for batch in input_path_lst:\n",
+    "            path_list = parse_path_sim(batch)\n",
+    "            spark_name = 'sim.' + '_'.join([path_list[-3], path_list[-2]])\n",
     "            create_spark(spark_name)\n",
     "            get_domain_df(batch)\n",
-    "            close_spark()\n",
+    "            close_spark()   \n",
     "            with open(\"./is_similarity_complated.txt\", \"a\", encoding=\"utf-8\") as f:\n",
-    "                f.write(batch + \",\")\n",
-    "\n",
-    "\n",
-    "\"\"\"第四步 layout index\"\"\"\n",
-    "\n",
-    "\n",
-    "def parse_index_input_path(input_path: str):\n",
+    "                f.write(batch + \",\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "23",
+   "metadata": {},
+   "source": [
+    "# layout_index"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "24",
+   "metadata": {},
+   "source": [
+    "## main func"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "25",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def parse_input_path_index(input_path: str):\n",
     "    try:\n",
     "        with open(\"./is_index_complated.txt\", \"r\", encoding=\"utf-8\") as f:\n",
     "            content = f.read()\n",
@@ -878,87 +1291,78 @@
     "    input_path_lst = [i for i in list(list_s3_objects(input_path, recursive=False)) if i not in already_exist]\n",
     "    return input_path_lst\n",
     "\n",
-    "\n",
-    "def create_index_df(batch: str):\n",
+    "def create_index_df(batch: str, path_list: List):\n",
     "    input_path_lst = [i for i in list(list_s3_objects(batch, recursive=True)) if i.endswith(\".jsonl.gz\")]\n",
+    "\n",
+    "    with_length_v_df = read_any_path(spark, ','.join(input_path_lst), config)\n",
     "    schema = StructType([\n",
-    "        StructField(\"layout_id\", StringType(), True),\n",
     "        StructField(\"url_host_name\", StringType(), True),\n",
-    "        StructField(\"filepath\", StringType(), True),\n",
+    "        StructField(\"layout_id\", StringType(), True),\n",
     "        StructField(\"offset\", LongType(), True),\n",
-    "        StructField(\"length\", LongType(), True),\n",
     "    ])\n",
-    "    page_content = sc.parallelize(input_path_lst, len(input_path_lst))\n",
-    "    with_length_df = page_content.mapPartitions(read_to_index).toDF(schema)\n",
-    "    data_to_index(with_length_df)\n",
-    "\n",
+    "    \n",
+    "    df_with_struct = with_length_v_df.withColumn(\"json_struct\", from_json(with_length_v_df.value, schema))\n",
+    "    with_length_df = df_with_struct.select(\"json_struct.*\", col(\"filename\").alias(\"filepath\"))\n",
+    "    data_to_index(with_length_df, path_list)\n",
     "\n",
-    "def data_to_index(with_length_df: DataFrame):\n",
+    "def data_to_index(with_length_df: DataFrame, path_list: List):\n",
     "    current_time = datetime.now().strftime(\"%Y-%m-%d %H:%M:%S\")\n",
     "    group_df = with_length_df.groupBy([\"url_host_name\", \"layout_id\", \"filepath\"]).agg(\n",
-    "        _sum(col(\"length\")).alias(\"length\"),\n",
+    "        (_max(col(\"offset\")) - _min(col(\"offset\"))).alias(\"length\"),\n",
     "        _min(col(\"offset\")).alias(\"offset\"),\n",
     "        _count(\"*\").alias(\"record_count\")\n",
     "    ).sort(\"url_host_name\", \"layout_id\", \"filepath\").withColumn(\"timestamp\", lit(current_time))\n",
+    "    \n",
+    "\n",
+    "    file_df = group_df.withColumn(\"file\", \n",
+    "          struct(\n",
+    "            col(\"filepath\").alias(\"filepath\"),\n",
+    "            col(\"length\").cast(\"long\").alias(\"length\"),\n",
+    "            col(\"offset\").cast(\"long\").alias(\"offset\"),\n",
+    "            col(\"record_count\").cast(\"long\").alias(\"record_count\"),\n",
+    "            col(\"timestamp\").alias(\"timestamp\")\n",
+    "          )\n",
+    "        ).select([\"url_host_name\", \"layout_id\", \"file\", \"record_count\"])\n",
     "\n",
-    "    file_df = group_df.withColumn(\"file\",\n",
-    "                                  struct(\n",
-    "                                      col(\"filepath\").alias(\"filepath\"),\n",
-    "                                      col(\"length\").cast(\"long\").alias(\"length\"),\n",
-    "                                      col(\"offset\").cast(\"long\").alias(\"offset\"),\n",
-    "                                      col(\"record_count\").cast(\"long\").alias(\"record_count\"),\n",
-    "                                      col(\"timestamp\").alias(\"timestamp\")\n",
-    "                                  )\n",
-    "                                  ).select([\"url_host_name\", \"layout_id\", \"file\", \"record_count\"])\n",
     "\n",
     "    result_df = file_df.groupBy(\"layout_id\") \\\n",
     "        .agg(\n",
-    "        _sum(\"record_count\").alias(\"count\"),\n",
-    "        collect_list(\"file\").alias(\"files\"),\n",
-    "        first(\"url_host_name\").alias(\"url_host_name\")\n",
-    "    ).orderBy(\"count\", ascending=False)\n",
-    "    write_by_two(result_df)\n",
-    "\n",
+    "            _sum(\"record_count\").alias(\"count\"),\n",
+    "            collect_list(\"file\").alias(\"files\"),\n",
+    "            first(\"url_host_name\").alias(\"url_host_name\")\n",
+    "        ).orderBy(\"count\", ascending=False)\n",
+    "    write_by_two(result_df, path_list)\n",
     "\n",
-    "def write_by_two(result_df: DataFrame):\n",
+    "def write_by_two(result_df: DataFrame, path_list: List):\n",
     "    struct_col = struct(result_df[\"layout_id\"], result_df[\"count\"], result_df[\"files\"], result_df[\"url_host_name\"])\n",
     "    output_df = result_df.withColumn(\"value\", to_json(struct_col)).select(\"value\")\n",
     "\n",
-    "    output_file_size_gb = 2\n",
-    "    resize_func = spark_resize_file(output_file_size_gb)\n",
-    "    new_output_df = resize_func(output_df)\n",
-    "\n",
-    "    config[\"skip_output_version\"] = True\n",
-    "    config['skip_output_check'] = True\n",
+    "    output_acc = S3UploadAcc(spark.sparkContext)\n",
+    "    output_df.repartition(1).foreachPartition(upload_to_s3(OUTPUT_PATH, \"jsonl\", output_acc, prefix = path_list[-2]))\n",
     "\n",
-    "    write_any_path(new_output_df, OUTPUT_PATH, config)\n",
-    "\n",
-    "\n",
-    "def parse_index_path(batch):\n",
+    "def parse_path_index(batch):\n",
     "    path_list = batch.split('/')\n",
     "    global OUTPUT_PATH\n",
-    "    OUTPUT_PATH = f\"{BASE_OUTPUT_PATH}{path_list[-3]}/{path_list[-2]}/\"\n",
+    "    OUTPUT_PATH = f\"{LAYOUT_INDEX_BASE_OUTPUT_PATH}{path_list[-3]}/\"\n",
     "    return path_list\n",
-    "\n",
-    "\n",
-    "def index_main(INPUT_PATH):\n",
-    "    big_batch_lst = list(list_s3_objects(INPUT_PATH, recursive=False))\n",
+    "    \n",
+    "def index_main():\n",
+    "    big_batch_lst = list(list_s3_objects(LAYOUT_SIM_BASE_OUTPUT_PATH, recursive=False))\n",
     "    for big_batch in big_batch_lst:\n",
-    "        batch_lst = parse_index_input_path(big_batch)\n",
+    "        batch_lst = parse_input_path_index(big_batch)\n",
     "        for batch in batch_lst:\n",
-    "            path_list = parse_path(batch)\n",
-    "            spark_name = \".\".join([path_list[-3], path_list[-2]])\n",
+    "            path_list = parse_path_index(batch)\n",
+    "            spark_name = \"index.\" + \".\".join([path_list[-3], path_list[-2]])\n",
     "            create_spark(spark_name)\n",
-    "            create_index_df(batch)\n",
+    "            create_index_df(batch, path_list)\n",
+    "            close_spark()\n",
     "            with open(\"./is_index_complated.txt\", \"a\", encoding=\"utf-8\") as f:\n",
-    "                f.write(batch + \",\")\n",
-    "\n",
-    "            close_spark()"
+    "                f.write(batch + \",\")\n"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "5",
+   "id": "26",
    "metadata": {},
    "source": [
     "# start"
@@ -967,20 +1371,30 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6",
+   "id": "27",
    "metadata": {},
    "outputs": [],
    "source": [
-    "choose_main(INPUT_PATH)\n",
-    "layout_main(CHOOSE_OUTPUT_PATH)\n",
-    "sim_main(BASE_LAYOUT_OUTPUT_PATH)\n",
-    "index_main(BASE_SIM_OUTPUT_PATH)"
+    "choose_main()\n",
+    "\n",
+    "# 条件判断\n",
+    "big_batch_lst = list(list_s3_objects(CHOOSE_DOMAIN_OUTPUT_PATH, recursive=False))\n",
+    "for big_batch in big_batch_lst:\n",
+    "    end_path = big_batch.split(\"/\")[-2]\n",
+    "    if end_path.startswith(\"1-1600\"):\n",
+    "        layout_little_main(big_batch)\n",
+    "    else:\n",
+    "        layout_main(big_batch)\n",
+    "\n",
+    "sim_main()\n",
+    "\n",
+    "index_main()"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7",
+   "id": "28",
    "metadata": {},
    "outputs": [],
    "source": []
diff --git a/llm_web_kit/api/dependencies.py b/llm_web_kit/api/dependencies.py
index 32eadeb6..a2814fce 100644
--- a/llm_web_kit/api/dependencies.py
+++ b/llm_web_kit/api/dependencies.py
@@ -31,6 +31,7 @@ class Settings(BaseSettings):
     # 模型配置
     model_path: Optional[str] = None
     max_content_length: int = 10 * 1024 * 1024  # 10MB
+    crawl_url: str = "http://10.140.0.94:9500/crawl"
 
     # 缓存配置
     cache_ttl: int = 3600  # 1小时
diff --git a/llm_web_kit/api/models/response.py b/llm_web_kit/api/models/response.py
index 99fbf98f..1ec6f491 100644
--- a/llm_web_kit/api/models/response.py
+++ b/llm_web_kit/api/models/response.py
@@ -45,6 +45,7 @@ class HTMLParseData(BaseModel):
     llm_response: Dict[str, int] = Field(default_factory=dict, description="LLM 项目打标结果")
     typical_main_html: Optional[str] = Field(None, description="解析得到的主体 HTML")
     html_target_list: List[Any] = Field(default_factory=list, description="正文候选/目标列表")
+    markdown: Optional[str] = Field(None, description="从正文HTML提取的Markdown格式内容")
 
 
 class HTMLParseResponse(BaseResponse):
@@ -68,7 +69,8 @@ class HTMLParseResponse(BaseResponse):
                         "item_id 9": 1
                     },
                     "typical_main_html": "<html></html>",
-                    "html_target_list": []
+                    "html_target_list": [],
+                    "markdown": "# Hello World"
                 },
                 "metadata": None
             }
diff --git a/llm_web_kit/api/requirements.txt b/llm_web_kit/api/requirements.txt
index c7cbd56f..fc428808 100644
--- a/llm_web_kit/api/requirements.txt
+++ b/llm_web_kit/api/requirements.txt
@@ -3,6 +3,7 @@ aiohttp>=3.9.0
 
 # FastAPI 相关依赖
 fastapi>=0.104.0
+httpx>=0.27.0
 pydantic>=2.0.0
 pydantic-settings>=2.0.0
 
diff --git a/llm_web_kit/api/run_server.py b/llm_web_kit/api/run_server.py
index 739b14fa..81039a12 100644
--- a/llm_web_kit/api/run_server.py
+++ b/llm_web_kit/api/run_server.py
@@ -1,9 +1,10 @@
 #!/usr/bin/env python3
 """API 服务器启动脚本.
 
-用于启动 LLM Web Kit API 服务。
+用于启动 LLM Web Kit API 服务。 支持通过命令行参数 `--port` 指定端口号。
 """
 
+import argparse
 import os
 import sys
 
@@ -16,14 +17,29 @@
 
 if __name__ == "__main__":
     settings = get_settings()
+
+    # 创建参数解析器
+    parser = argparse.ArgumentParser(description="启动 LLM Web Kit API 服务器。")
+    parser.add_argument(
+        "--port",
+        type=int,
+        default=settings.port,
+        help=f"指定服务器运行的端口号 (默认: {settings.port}，从配置中读取)。"
+    )
+    args = parser.parse_args()
+
+    # 使用命令行参数指定的端口或配置中的默认端口
+    port_to_use = args.port
+
     print("启动 LLM Web Kit API 服务器...")
-    print(f"API 文档地址: http://{settings.host}:{settings.port}/docs")
-    print(f"ReDoc 文档地址: http://{settings.host}:{settings.port}/redoc")
+    print(f"服务将运行在: http://{settings.host}:{port_to_use}")
+    print(f"API 文档地址: http://{settings.host}:{port_to_use}/docs")
+    print(f"ReDoc 文档地址: http://{settings.host}:{port_to_use}/redoc")
 
     uvicorn.run(
         "llm_web_kit.api.main:app",
         host=settings.host,
-        port=settings.port,
+        port=port_to_use,
         reload=True,
         log_level=(settings.log_level or "INFO").lower()
     )
diff --git a/llm_web_kit/api/services/html_service.py b/llm_web_kit/api/services/html_service.py
index 46c6d4a3..0bb247a0 100644
--- a/llm_web_kit/api/services/html_service.py
+++ b/llm_web_kit/api/services/html_service.py
@@ -5,7 +5,11 @@
 
 from typing import Any, Dict, Optional
 
-from ..dependencies import get_inference_service, get_logger, get_settings
+import httpx
+
+from llm_web_kit.api.dependencies import (get_inference_service, get_logger,
+                                          get_settings)
+from llm_web_kit.simple import extract_content_from_main_html
 
 logger = get_logger(__name__)
 settings = get_settings()
@@ -35,8 +39,26 @@ async def parse_html(
     ) -> Dict[str, Any]:
         """解析 HTML 内容."""
         try:
+            if not html_content and url:
+                logger.info(f'HTML 内容为空，尝试从 URL 爬取: {url}')
+                try:
+                    async with httpx.AsyncClient() as client:
+                        response = await client.post(settings.crawl_url, json={'url': url}, timeout=60)
+                        response.raise_for_status()
+                        data = response.json()
+                        html_content = data.get('html')
+                        if not html_content:
+                            raise ValueError('爬取成功，但未返回 HTML 内容')
+                        logger.info(f'URL 爬取成功，内容长度: {len(html_content)}')
+                except httpx.RequestError as exc:
+                    logger.error(f"调用爬虫服务失败: {exc}")
+                    raise ValueError(f"无法从 URL 爬取内容: {exc}")
+                except Exception as e:
+                    logger.error(f'爬取或解析爬取内容失败: {e}')
+                    raise ValueError(f'处理爬取内容时发生错误: {e}')
+
             if not html_content:
-                raise ValueError('必须提供 HTML 内容')
+                raise ValueError('必须提供 HTML 内容或有效的 URL')
 
             # 延迟导入，避免模块导入期异常导致服务类不可用
             try:
@@ -67,7 +89,9 @@ async def parse_html(
             pre_data[PreDataJsonKey.LLM_RESPONSE] = llm_response
             parser = MapItemToHtmlTagsParser({})
             pre_data = parser.parse_single(pre_data)
-
+            main_html = pre_data[PreDataJsonKey.TYPICAL_MAIN_HTML]
+            mm_nlp_md = extract_content_from_main_html(url, main_html, 'mm_md', use_raw_image_url=True)
+            pre_data['markdown'] = mm_nlp_md
             # 将 PreDataJson 转为标准 dict，避免响应模型校验错误
             return dict(pre_data.items())
 
@@ -79,3 +103,21 @@ async def _parse_with_model(self, html_content: str, options: Optional[Dict[str,
         if self._inference_service is None:
             self._inference_service = get_inference_service()
         return await self._inference_service.inference(html_content, options or {})
+
+
+if __name__ == '__main__':
+    import asyncio
+
+    # 重新导入以确保加载最新的代码，绕过缓存问题
+    from llm_web_kit.api.dependencies import get_settings
+    settings = get_settings()
+
+    async def main():
+        async with httpx.AsyncClient() as client:
+            response = await client.post(settings.crawl_url, json={'url': 'https://aws.amazon.com/what-is/retrieval-augmented-generation/'}, timeout=60)
+            response.raise_for_status()
+            data = response.json()
+            html_content = data.get('html')
+            print(html_content)
+
+    asyncio.run(main())
diff --git a/llm_web_kit/api/services/inference_service.py b/llm_web_kit/api/services/inference_service.py
index 095404d9..6401f0fd 100644
--- a/llm_web_kit/api/services/inference_service.py
+++ b/llm_web_kit/api/services/inference_service.py
@@ -30,8 +30,8 @@ class InferenceConfig:
     top_p: float = 0.95
     max_output_tokens: int = 8192
     tensor_parallel_size: int = 1
-    # 正式环境修改为bfloat16
-    dtype: str = 'float16'
+    # 测试环境修改为float16
+    dtype: str = 'bfloat16'
     template: bool = True
 
 
@@ -339,8 +339,8 @@ async def _init_model(self):
                 trust_remote_code=True,
                 dtype=config.dtype,
                 tensor_parallel_size=config.tensor_parallel_size,
-                # 正式环境删掉
-                max_model_len=config.max_tokens,  # 减少序列长度避免内存不足
+                # 测试环境取消注释
+                # max_model_len=config.max_tokens,  # 减少序列长度避免内存不足
             )
 
             logger.info(f'模型初始化成功: {self.model_path}')
diff --git a/llm_web_kit/extractor/config.py b/llm_web_kit/extractor/config.py
index c34075b0..821f26df 100644
--- a/llm_web_kit/extractor/config.py
+++ b/llm_web_kit/extractor/config.py
@@ -3,6 +3,7 @@
     {'url': '*', 'tag': '//div[starts-with(@class, "advert") or starts-with(@name, "advert") or starts-with(@id, "advert")]'},
     {'url': '*', 'tag': '//div[contains(@style, "display: none")]'},
     {'url': '*', 'tag': '//div[contains(@style, "display:none")]'},
+    {'url': '*', 'tag': '//*[@hidden and not(@hidden="false")]'},
     {'url': 'stackexchange.com', 'tag': '//*[contains(@class, "d-none")]'},  # 任意标签，class包含d-none，限制在stackexchange.com网站
     {'url': 'mathoverflow.net', 'tag': '//*[contains(@class, "d-none")]'},  # 任意标签，class包含d-none，限制在mathoverflow.net网站
     {'url': 'blog.csdn.net', 'tag': '//span[contains(@class, "katex-html")]'},  # 仅针对 blog.csdn.net 域名，删除所有 class 包含 katex-html 的 <span> 标签及其内容（用于移除数学公式渲染的 HTML 部分）
diff --git a/llm_web_kit/extractor/html/post_main_html_processer/post_llm.py b/llm_web_kit/extractor/html/post_main_html_processer/post_llm.py
index d30120cf..c1713276 100644
--- a/llm_web_kit/extractor/html/post_main_html_processer/post_llm.py
+++ b/llm_web_kit/extractor/html/post_main_html_processer/post_llm.py
@@ -35,19 +35,8 @@ def clean_json_data(md_text: str) -> dict:
     return json_data
 
 
-def get_llm_response(input_lst: List, api_key: str, url: str, model_name: str, is_llm: bool = True,
-                     max_retry: int = 3) -> dict:
-    if not is_llm:
-        post_llm_response = base_dir.joinpath('assets/llm_res.json').read_text(encoding='utf-8')
-        return json_loads(post_llm_response)
-
-    from openai import BadRequestError, OpenAI
-
-    client = OpenAI(
-        # 若没有配置环境变量，请用百炼API Key将下行替换为：api_key='sk-xxx',
-        api_key=api_key,
-        base_url=url,
-    )
+def request_model(input_lst: List, api_key: str, url: str, model_name: str) -> str:
+    from openai import OpenAI
 
     html_count = len(input_lst)
     eg_input_lst, eg_output = __get_eg_data()
@@ -87,23 +76,45 @@ def get_llm_response(input_lst: List, api_key: str, url: str, model_name: str, i
 <end-example-1>
 ################
 Now return your result:"""
+
+    client = OpenAI(
+        # 若没有配置环境变量，请用百炼API Key将下行替换为：api_key='sk-xxx',
+        api_key=api_key,
+        base_url=url,
+    )
+
+    completion = client.chat.completions.create(
+        model=model_name,
+        # 此处以qwen-plus为例，可按需更换模型名称。模型列表：https://help.aliyun.com/zh/model-studio/getting-started/models
+        extra_body={'enable_thinking': False},
+        messages=[
+            {'role': 'system', 'content': 'You are a HTML semantics expert.'},
+            {'role': 'user', 'content': prompt}
+
+        ],
+    )
+
+    rtn = completion.model_dump_json()
+    return rtn
+
+
+def get_llm_response(input_lst: List, api_key: str, url: str, model_name: str, is_llm: bool = True,
+                     max_retry: int = 3) -> dict:
+    from openai import BadRequestError
+
+    if not is_llm:
+        post_llm_response = base_dir.joinpath('assets/llm_res.json').read_text(encoding='utf-8')
+        return json_loads(post_llm_response)
+
     try:
-        completion = client.chat.completions.create(
-            model=model_name,
-            # 此处以qwen-plus为例，可按需更换模型名称。模型列表：https://help.aliyun.com/zh/model-studio/getting-started/models
-            extra_body={'enable_thinking': False},
-            messages=[
-                {'role': 'system', 'content': 'You are a HTML semantics expert.'},
-                {'role': 'user', 'content': prompt}
-
-            ],
-        )
-
-        rtn = completion.model_dump_json()
+        rtn = request_model(input_lst, api_key, url, model_name)
         rtn_detail = json_loads(rtn)
         post_llm_response = rtn_detail.get('choices', [])[0].get('message', {}).get('content', '')
         return clean_json_data(post_llm_response)
-    except BadRequestError:
+    except BadRequestError as e:
+        if 'Range of input length should be' in str(e):
+            if len(input_lst) > 1 and max_retry > 0:
+                return get_llm_response(input_lst[:len(input_lst) - 1], api_key, url, model_name, is_llm, max_retry - 1)
         return None
     except Exception:
         if max_retry > 0:
diff --git a/llm_web_kit/extractor/html/post_main_html_processer/post_mapping.py b/llm_web_kit/extractor/html/post_main_html_processer/post_mapping.py
index 27dc876b..0f29f51a 100644
--- a/llm_web_kit/extractor/html/post_main_html_processer/post_mapping.py
+++ b/llm_web_kit/extractor/html/post_main_html_processer/post_mapping.py
@@ -8,11 +8,11 @@
 def mapping_html_by_rules(html_content: str, xpaths_to_remove: List[dict]) -> tuple[str, bool]:
     """从HTML中删除指定XPath匹配的所有节点.
 
-    参数:
+    Args:
         html_content (str): 原始HTML内容
         xpaths_to_remove (list): 需要删除的元素列表
 
-    返回:
+    Returns:
         str: 处理后的HTML
         bool: 推广是否成功
     """
@@ -22,10 +22,11 @@ def mapping_html_by_rules(html_content: str, xpaths_to_remove: List[dict]) -> tu
     is_success = False
     tree = html_to_element(html_content)
 
+    # 获取所有元素节点
+    all_elements = [element for element in tree.iter() if isinstance(element, html.HtmlElement)]
+
     for remove_node in xpaths_to_remove:
         xpath_content = remove_node.get('xpath')
-        # 获取所有元素节点
-        all_elements = [element for element in tree.iter() if isinstance(element, html.HtmlElement)]
         for node in tree.xpath(xpath_content):
             # 获取节点内容占比
             content_rate = __calculate_node_content_ratio(tree, node)
@@ -45,11 +46,11 @@ def mapping_html_by_rules(html_content: str, xpaths_to_remove: List[dict]) -> tu
 def __calculate_node_content_ratio(tree: html.HtmlElement, node: html.HtmlElement) -> float:
     """计算节点内容占比.
 
-    参数:
+    Args:
         tree(html.HtmlElement): 根节点对象
-        node (html.HtmlElement): 节点对象
+        node(html.HtmlElement): 节点对象
 
-    返回:
+    Returns:
         float: 节点内容占比
     """
     # 获取节点的文本内容
diff --git a/llm_web_kit/extractor/html/recognizer/cc_math/render/mathjax.py b/llm_web_kit/extractor/html/recognizer/cc_math/render/mathjax.py
index 06ac62a9..2f1cc3ad 100644
--- a/llm_web_kit/extractor/html/recognizer/cc_math/render/mathjax.py
+++ b/llm_web_kit/extractor/html/recognizer/cc_math/render/mathjax.py
@@ -1,10 +1,14 @@
 import re
 from typing import Any, Dict, List
 
+from pylatexenc import latexwalker
+
 from llm_web_kit.extractor.html.recognizer.cc_math.common import CCMATH
 from llm_web_kit.extractor.html.recognizer.cc_math.render.render import (
     BaseMathRender, MathRenderType)
-from llm_web_kit.libs.html_utils import HtmlElement, html_to_element
+from llm_web_kit.libs.html_utils import (HtmlElement, SimpleMatch,
+                                         html_to_element,
+                                         optimized_dollar_matching)
 from llm_web_kit.libs.text_utils import normalize_ctl_text
 
 # 添加MATHJAX_OPTIONS变量定义
@@ -29,6 +33,21 @@
     'AM_CHTML'
 ]
 
+# 独立公式环境
+independent_math_environments = [
+    'displaymath',
+    'equation',
+    'equation*',
+    'align',
+    'align*',
+    'gather',
+    'gather*',
+    'multline',
+    'multline*',
+    'vmatrix',
+    'Vmatrix'
+]
+
 
 class MathJaxRender(BaseMathRender):
     """MathJax渲染器实现."""
@@ -246,10 +265,10 @@ def find_math(self, root: HtmlElement) -> None:
             display_patterns.append(pattern)
 
         # 添加对环境的支持
-        if MATHJAX_OPTIONS.get('processEnvironments', True):
-            # 通用匹配任何 \begin{...}\end{...} 环境的模式，保证环境名称相同时才匹配
-            env_pattern = r'(\\begin\{(?P<env>[^}]+)\}.*?\\end\{(?P=env)\})'
-            display_patterns.append(env_pattern)
+        # if MATHJAX_OPTIONS.get('processEnvironments', True):
+        #     # 通用匹配任何 \begin{...}\end{...} 环境的模式，保证环境名称相同时才匹配
+        #     env_pattern = r'(\\begin\{(?P<env>[^}]+)\}.*?\\end\{(?P=env)\})'
+        #     display_patterns.append(env_pattern)
 
         # 编译正则表达式
         inline_pattern = re.compile('|'.join(inline_patterns), re.DOTALL)
@@ -358,11 +377,41 @@ def _process_math_in_text(
             return text
 
         # 首先查找所有分隔符形式的匹配
-        matches = list(pattern.finditer(text))
-
+        if not is_display:
+            matches = list(pattern.finditer(text))
+        else:
+            matches = []
+            tem_match_display = []
+            walker = latexwalker.LatexWalker(text)
+            nodelist, pos, len_ = walker.get_latex_nodes(pos=0)
+            for node in nodelist:
+                # 标准的数学环境
+                if node.isNodeType(latexwalker.LatexMathNode):
+                    # 判断是行内公式还是独立公式
+                    if node.displaytype == 'inline':
+                        pass
+                    elif node.displaytype == 'display':
+                        tem_match_display.append(node.latex_verbatim())
+                        fake_match = SimpleMatch(text, node.pos, node.len)
+                        matches.append(fake_match)
+                # 其他数学环境
+                if (node.isNodeType(latexwalker.LatexEnvironmentNode) and
+                        hasattr(node, 'environmentname') and
+                        node.environmentname in independent_math_environments):
+                    tem_match_display.append(node.latex_verbatim())
+                    fake_match = SimpleMatch(text, node.pos, node.len)
+                    matches.append(fake_match)
+            # 公式自定义边界逻辑
+            new_display_patterns = [item for item in pattern.pattern.split('|') if "$" not in item]
+            custom_pattern = re.compile('|'.join(new_display_patterns), re.DOTALL)
+            custom_matches = list(custom_pattern.finditer(text))
+            for item in custom_matches:
+                if item.group() not in tem_match_display:
+                    matches.append(item)
+            tem_match_display.clear()
         # 如果没有匹配到分隔符形式的公式，直接返回原文本
         if not matches:
-            return text
+            return optimized_dollar_matching(text)
 
         # 从后向前处理，以避免位置偏移
         result = text
@@ -438,7 +487,7 @@ def _process_math_in_text(
             last_position = start_pos
 
         # 返回处理后的文本
-        return result
+        return optimized_dollar_matching(result)
 
     def _is_escaped_delimiter(self, text: str, pos: int) -> bool:
         """检查分隔符是否被转义.
diff --git a/llm_web_kit/extractor/html/recognizer/cc_math/tag_math.py b/llm_web_kit/extractor/html/recognizer/cc_math/tag_math.py
index aed792c9..c7a50281 100644
--- a/llm_web_kit/extractor/html/recognizer/cc_math/tag_math.py
+++ b/llm_web_kit/extractor/html/recognizer/cc_math/tag_math.py
@@ -7,8 +7,9 @@
 from llm_web_kit.extractor.html.recognizer.cc_math.common import (CCMATH,
                                                                   MathType,
                                                                   text_strip)
-from llm_web_kit.libs.html_utils import (build_cc_element, element_to_html,
-                                         replace_element)
+from llm_web_kit.libs.html_utils import (build_cc_element,
+                                         check_and_balance_delimiters,
+                                         element_to_html, replace_element)
 
 
 def modify_tree(cm: CCMATH, math_render: str, o_html: str, node: HtmlElement, parent: HtmlElement):
@@ -23,11 +24,12 @@ def modify_tree(cm: CCMATH, math_render: str, o_html: str, node: HtmlElement, pa
         if len(annotation_tags) > 0:
             annotation_tag = annotation_tags[0]
             text = annotation_tag.text
-            style_value = parent.get('style')
-            if style_value:
-                normalized_style_value = style_value.lower().strip().replace(' ', '').replace(';', '')
-                if 'display: none' in normalized_style_value:
-                    parent.style = ''
+            if parent:
+                style_value = parent.get('style')
+                if style_value:
+                    normalized_style_value = style_value.lower().strip().replace(' ', '').replace(';', '')
+                    if 'display: none' in normalized_style_value:
+                        parent.style = ''
             text = cm.wrap_math_md(text)
             if text:
                 new_span = build_cc_element(html_tag_name=new_tag, text=text, tail=text_strip(node.tail), type=math_type, by=math_render, html=o_html)
@@ -55,6 +57,7 @@ def modify_tree(cm: CCMATH, math_render: str, o_html: str, node: HtmlElement, pa
             # 处理未转义的%为\%
             if latex:
                 latex = re.sub(r'(?<!\\)%', r'\\%', latex)
+                latex = check_and_balance_delimiters(latex)
             text = cm.wrap_math_md(latex)
             if text:
                 # Set the html of the new span tag to the text
diff --git a/llm_web_kit/extractor/html/recognizer/table.py b/llm_web_kit/extractor/html/recognizer/table.py
index 0d6e2b8e..239776cd 100644
--- a/llm_web_kit/extractor/html/recognizer/table.py
+++ b/llm_web_kit/extractor/html/recognizer/table.py
@@ -1,3 +1,4 @@
+import copy
 import re
 from typing import Any, List, Tuple
 
@@ -212,16 +213,16 @@ def __get_table_type(self, child: HtmlElement) -> str:
 
     def __check_table_include_math_code(self, raw_html: HtmlElement):
         """检查table中的内容，包括普通文本、数学公式和代码."""
-        math_raw_html = self._element_to_html(raw_html)
-        math_html = raw_html
+        tem_raw_html = copy.deepcopy(raw_html)
+        math_raw_html = self._element_to_html(tem_raw_html)
         math_res_parts = self.math_recognizer.recognize(
             base_url='',
-            main_html_lst=[(math_html, math_html)],
+            main_html_lst=[(tem_raw_html, tem_raw_html)],
             raw_html=math_raw_html
         )
         result = []
         if not math_res_parts:
-            if raw_html.tag == 'br' or raw_html.xpath('.//br'):
+            if tem_raw_html.tag == 'br' or tem_raw_html.xpath('.//br'):
                 result.append("\n\n")
         for math_item in math_res_parts:
             ele_item = math_item[0]
diff --git a/llm_web_kit/extractor/html/recognizer/text.py b/llm_web_kit/extractor/html/recognizer/text.py
index 4f99d9e6..db90f4a7 100644
--- a/llm_web_kit/extractor/html/recognizer/text.py
+++ b/llm_web_kit/extractor/html/recognizer/text.py
@@ -270,7 +270,11 @@ def __get_paragraph_text_recusive(el: HtmlElement, text: str) -> str:
             para_text.append({'c': final, 't': ParagraphTextType.TEXT})
 
         for item in para_text:
-            item['c'] = restore_sub_sup_from_text_regex(item['c']).replace('$br$', PARAGRAPH_SEPARATOR)
+            if item['c'] is not None:
+                item['c'] = restore_sub_sup_from_text_regex(item['c']).replace('$br$', PARAGRAPH_SEPARATOR)
+            else:
+                item['c'] = ""
+
         return para_text
 
     def __extract_paragraphs(self, root: HtmlElement):
diff --git a/llm_web_kit/extractor/html/recognizer/title.py b/llm_web_kit/extractor/html/recognizer/title.py
index d3205344..6fa1cd59 100644
--- a/llm_web_kit/extractor/html/recognizer/title.py
+++ b/llm_web_kit/extractor/html/recognizer/title.py
@@ -134,6 +134,8 @@ def __extract_title_text_recusive(el: HtmlElement, with_tail: bool = True) -> li
 
             if el.tag == CCTag.CC_CODE_INLINE:
                 blks.append(f'`{el.text}`')
+            elif el.tag == CCTag.CC_MATH_INLINE:
+                blks.append(f'${el.text.strip()}$')
             elif el.tag in ['br']:
                 blks.extend(['$br$'])
             else:
diff --git a/llm_web_kit/input/datajson.py b/llm_web_kit/input/datajson.py
index 11a4b5f1..56ed8272 100644
--- a/llm_web_kit/input/datajson.py
+++ b/llm_web_kit/input/datajson.py
@@ -55,7 +55,7 @@ def __init__(self):
         self.__text_end = '\n'
         self.__list_item_start = '-'  # md里的列表项前缀
         self.__list_para_prefix = '  '  # 两个空格，md里的列表项非第一个段落的前缀：如果多个段落的情况，第二个以及之后的段落前缀
-        self.__md_special_chars = ['#', '`', '$']  # TODO 拼装table的时候还应该转义掉|符号
+        self.__md_special_chars = ['#', '`']  # TODO 拼装table的时候还应该转义掉|符号
         self.__nodes_document_type = [DocElementType.MM_NODE_LIST, DocElementType.PARAGRAPH, DocElementType.LIST,
                                       DocElementType.SIMPLE_TABLE, DocElementType.COMPLEX_TABLE, DocElementType.TITLE,
                                       DocElementType.IMAGE, DocElementType.AUDIO, DocElementType.VIDEO,
diff --git a/llm_web_kit/libs/html_utils.py b/llm_web_kit/libs/html_utils.py
index 05d6783b..d1d0a648 100644
--- a/llm_web_kit/libs/html_utils.py
+++ b/llm_web_kit/libs/html_utils.py
@@ -483,6 +483,41 @@ def restore_sub_sup_from_text_regex(processed_content):
     return re.sub(pattern, lambda m: replacement_map[m.group(0)], processed_content)
 
 
+def check_and_balance_delimiters(latex_str):
+    """检查LaTeX字符串中的left和right是否成对，并移除多余的left或right，但保留分隔符。
+
+    Args:
+        latex_str (str): 输入的LaTeX字符串
+
+    Returns:
+        str: 处理后的字符串，多余的left或right已被移除，分隔符保留。
+    """
+    stack = []
+    to_remove = []
+    pattern = re.compile(r'(\\left|\\right)(\\[{}()[\]]|\.|)')
+
+    matches = list(pattern.finditer(latex_str))
+    for match in matches:
+        start_idx = match.start()  # 整个匹配的起始位置
+        command = match.group(1)  # 匹配到的命令，是 '\left' 或 '\right'
+
+        if command == r'\left':
+            stack.append((start_idx, len(command)))
+        elif command == r'\right':
+            if stack:
+                stack.pop()
+            else:
+                to_remove.append((start_idx, len(command)))
+
+    for left_start, left_cmd_len in stack:
+        to_remove.append((left_start, left_cmd_len))
+
+    for pos, cmd_len in sorted(to_remove, reverse=True):
+        latex_str = latex_str[:pos] + latex_str[pos + cmd_len:]
+
+    return latex_str
+
+
 def get_plain_text_fast(html_source: str) -> str:
     """使用lxml快速获取html中的纯文本.
 
@@ -506,3 +541,56 @@ def get_plain_text_fast(html_source: str) -> str:
     texts = doc.xpath('//text()')
     full_text = ' '.join(text.strip() for text in texts if text.strip())
     return full_text
+
+
+class SimpleMatch:
+    """一个简单的模拟 re.Match 的对象。 根据提供的原始字符串、起始位置和长度来模拟匹配结果。"""
+    def __init__(self, original_string, start_pos, length):
+        self._string = original_string
+        self._start = start_pos
+        self._end = start_pos + length
+        self._match = original_string[start_pos:self._end]  # 提取匹配的字符串
+
+    def group(self, group_num=0):
+        if group_num == 0:
+            return self._match
+
+    def start(self, group_num=0):
+        if group_num == 0:
+            return self._start
+
+    def end(self, group_num=0):
+        if group_num == 0:
+            return self._end
+
+    def groups(self):
+        # 返回空元组，因为不支持捕获组
+        return ()
+
+
+def optimized_dollar_matching(text):
+    """美元金额匹配."""
+    # 用于存储需要修改的位置和替换内容
+    replacements = []
+
+    pattern = r'(?<!\\)(\$\d{1,3}(?:,\d{3})*(?:\.\d{1,})?)'
+    matches_result = re.finditer(pattern, text)
+    for match in matches_result:
+        # 获取匹配的起始和结束位置
+        start, end = match.start(), match.end()
+        # 检查匹配后的字符（如果存在）
+        if end < len(text):
+            next_char = text[end]
+            # 只有当后接字符不在列表中时才进行替换
+            if next_char not in ["^", "$", "\\", "/"]:
+                replacements.append((start, end, match.group()))
+
+    if replacements:
+        text_chars = list(text)
+        for start, end, original_match in sorted(replacements, reverse=True):
+            # 只转义金额前的$符号
+            escaped_match = f"\\{original_match}"
+            text_chars[start:end] = list(escaped_match)
+        return ''.join(text_chars)
+    else:
+        return text
diff --git a/llm_web_kit/main_html_parser/parser/layout_batch_parser.py b/llm_web_kit/main_html_parser/parser/layout_batch_parser.py
index 5d6ef2e4..c439690b 100644
--- a/llm_web_kit/main_html_parser/parser/layout_batch_parser.py
+++ b/llm_web_kit/main_html_parser/parser/layout_batch_parser.py
@@ -2,10 +2,8 @@
 import re
 from hashlib import sha256
 
-import nltk
 from lxml import html
 from lxml.html import etree
-from nltk.tokenize import word_tokenize
 from selectolax.parser import HTMLParser
 
 from llm_web_kit.html_layout.html_layout_cosin import get_feature, similarity
@@ -13,11 +11,17 @@
 from llm_web_kit.libs.html_utils import element_to_html, html_to_element
 from llm_web_kit.main_html_parser.parser.parser import BaseMainHtmlParser
 
-nltk.download('punkt', quiet=True)  # 静默模式避免日志干扰
+# Pre-compile regexes for performance
+POST_NUMBER_REGEX = re.compile(r'(post|postid)-(\d+)', re.IGNORECASE)
+NATURAL_LANGUAGE_REGEX = re.compile(r'[^\w\s]')
+WHITESPACE_REGEX = re.compile(r'[ \t\n]+')
+SPACES_REGEX = re.compile(r' +')
+WORD_REGEX = re.compile(r'\w+')
+
 
 MAX_LENGTH = 10
 SIMILARITY_THRESHOLD = 0.75
-DYNAMIC_ID_SIM_THRESHOLD = 0.9
+DYNAMIC_ID_SIM_THRESHOLD = 0.85
 
 
 class LayoutBatchParser(BaseMainHtmlParser):
@@ -31,6 +35,8 @@ def __init__(self, template_data: str | dict):
         self.more_noise_enable = False
         self.dynamic_classid_similarity_threshold = 0.85
         self.ids = dict()
+        self.normalize_key_cache = {}
+        self.processed_template_data = None
 
     def parse_tuple_key(self, key_str):
         if key_str.startswith('(') and key_str.endswith(')'):
@@ -73,22 +79,25 @@ def parse(self, pre_data: PreDataJson) -> PreDataJson:
         content, body = self.process(html_source, template_dict_html)
 
         # 相似度计算
-        if pre_data.get(PreDataJsonKey.TYPICAL_MAIN_HTML, None):
-            template_main_html = pre_data[PreDataJsonKey.TYPICAL_MAIN_HTML]
-            if pre_data.get(PreDataJsonKey.SIMILARITY_LAYER, None):
-                layer = pre_data[PreDataJsonKey.SIMILARITY_LAYER]
-            else:
-                layer = self.__get_max_width_layer(template_data)
-            feature1 = get_feature(template_main_html)
-            feature2 = get_feature(body)
-            sim = None
-            if feature1 is not None and feature2 is not None:
-                sim = similarity(feature1, feature2, layer_n=layer)
-                pre_data[PreDataJsonKey.MAIN_HTML_SIM] = sim
-            if sim is None or sim < SIMILARITY_THRESHOLD:
-                pre_data[PreDataJsonKey.MAIN_HTML_SUCCESS] = False
-            else:
-                pre_data[PreDataJsonKey.MAIN_HTML_SUCCESS] = True
+        try:
+            if pre_data.get(PreDataJsonKey.TYPICAL_MAIN_HTML, None):
+                template_main_html = pre_data[PreDataJsonKey.TYPICAL_MAIN_HTML]
+                if pre_data.get(PreDataJsonKey.SIMILARITY_LAYER, None):
+                    layer = pre_data[PreDataJsonKey.SIMILARITY_LAYER]
+                else:
+                    layer = self.__get_max_width_layer(template_data)
+                feature1 = get_feature(template_main_html)
+                feature2 = get_feature(body)
+                sim = None
+                if feature1 is not None and feature2 is not None:
+                    sim = similarity(feature1, feature2, layer_n=layer)
+                    pre_data[PreDataJsonKey.MAIN_HTML_SIM] = sim
+                if sim is None or sim < SIMILARITY_THRESHOLD:
+                    pre_data[PreDataJsonKey.MAIN_HTML_SUCCESS] = False
+                else:
+                    pre_data[PreDataJsonKey.MAIN_HTML_SUCCESS] = True
+        except Exception:
+            pre_data[PreDataJsonKey.MAIN_HTML_SUCCESS] = None
 
         # 结果返回
         pre_data[PreDataJsonKey.MAIN_HTML] = content
@@ -107,36 +116,45 @@ def process(self, html_source: str, template_dict_html: str) -> str:
         return content, body
 
     def get_tokens(self, content):
-        tokens = word_tokenize(content)
+        tokens = WORD_REGEX.findall(content)
         return tokens
 
     def normalize_key(self, tup):
         if not tup:
             return None
+        tup = tuple(tup)
+        if tup in self.normalize_key_cache:
+            return self.normalize_key_cache[tup]
+
         tag, class_id, idd = tup
         if class_id:
-            class_id = re.sub(r'[ \t\n]+', ' ', class_id)
+            class_id = WHITESPACE_REGEX.sub(' ', class_id)
         if idd:
             valid_id = self.ids.get(idd, True)
-            idd = re.sub(r' +', ' ', idd)
+            idd = SPACES_REGEX.sub(' ', idd)
 
         # 如果有id，则无需判断class，因为有的网页和模版id相同，但是class不同
         if tag in ['body', 'html']:
-            return (tag, None, None)
+            res = (tag, None, None)
+            self.normalize_key_cache[tup] = res
+            return res
 
         if idd and valid_id:
             idd_norm = self.replace_post_number(idd)
-            return (tag, None, idd_norm)
+            res = (tag, None, idd_norm)
+            self.normalize_key_cache[tup] = res
+            return res
 
-        return (tag, self.replace_post_number(class_id), self.replace_post_number(idd))
+        res = (tag, self.replace_post_number(class_id), self.replace_post_number(idd))
+        self.normalize_key_cache[tup] = res
+        return res
 
     def replace_post_number(self, text):
         if not text:
             return None
         # 匹配 "post-数字" 或 "postid-数字"（不区分大小写），并替换数字部分为空
-        pattern = r'(post|postid)-(\d+)'
         # 使用 \1 保留前面的 "post" 或 "postid"，但替换数字部分
-        return re.sub(pattern, lambda m: f'{m.group(1)}-', text, flags=re.IGNORECASE).strip()
+        return POST_NUMBER_REGEX.sub(lambda m: f'{m.group(1)}-', text).strip()
 
     def find_blocks_drop(self, element, depth, element_dict, parent_keyy, parent_label, template_doc, tree):
         # 判断这个tag是否有id
@@ -150,64 +168,32 @@ def find_blocks_drop(self, element, depth, element_dict, parent_keyy, parent_lab
         is_natural_language = self.__is_natural_language(text) or length_tail >= 10
         idd = element.get('id')
         tag = element.tag
-        layer_nodes = element_dict.get(depth, {})
+        if tag in ['script', 'style', 'meta', 'link']:
+            return
         class_tag = element.get('class')
         ori_keyy = (tag, class_tag, idd)
-        if idd and idd.strip():
-            try:
-                idd_ele = tree.xpath(f'//*[@id="{idd}"]')
-                if len(idd_ele) > 3:
-                    self.ids[idd] = False
-                else:
-                    self.ids[idd] = True
-            except Exception:
-                self.ids[idd] = True
         keyy = self.normalize_key(ori_keyy)
         # 获取element的当前层的所有节点
         element_parent = element.getparent()
         current_layer_keys = {}
         if element_parent is None:
-            child_str = html.tostring(element, encoding='utf-8').decode()
-            current_layer_keys[keyy] = (ori_keyy, child_str)
+            current_layer_keys[keyy] = (ori_keyy, element)
         else:
             for child in element_parent:
                 if isinstance(child, etree._Comment):
                     continue
                 child_ori_key = (child.tag, child.get('class'), child.get('id'))
                 child_key = self.normalize_key(child_ori_key)
-                child_str = html.tostring(child, encoding='utf-8').decode()
-                current_layer_keys[child_key] = (child_ori_key, child_str)
+                current_layer_keys[child_key] = (child_ori_key, child)
         # 匹配正文节点
         has_red = False
         layer_nodes_dict = dict()
         layer_nodes_dict_drop_tail = dict()
-        layer_norm_eles = {}
-        # 构造当前层的候选映射字典
-        for ele_keyy, ele_value in layer_nodes.items():
-            layer_node_idd = ele_keyy[2]
-            if layer_node_idd and layer_node_idd.strip() and layer_node_idd not in self.ids:
-                try:
-                    idd_ele = template_doc.xpath(f'//*[@id="{layer_node_idd}"]')
-                    if len(idd_ele) > 3:
-                        self.ids[layer_node_idd] = False
-                    else:
-                        self.ids[layer_node_idd] = self.ids.get(layer_node_idd, True)
-                except Exception:
-                    self.ids[layer_node_idd] = self.ids.get(layer_node_idd, True)
-            ele_parent_keyy = self.normalize_key(ele_value[1])
-            if ele_parent_keyy is not None:
-                ele_parent_keyy = tuple(ele_parent_keyy)
-            ele_label = ele_value[0]
-            is_drop_tail = ele_value[3]
-            norm_ele_keyy = self.normalize_key(ele_keyy[:3])
-            if norm_ele_keyy in layer_norm_eles:
-                layer_norm_eles[norm_ele_keyy].append((ele_label, ele_keyy[:3], ele_parent_keyy, is_drop_tail))
-            else:
-                layer_norm_eles[norm_ele_keyy] = [(ele_label, ele_keyy[:3], ele_parent_keyy, is_drop_tail)]
+        layer_norm_eles = self.processed_template_data.get(depth, {})
         # 尝试匹配当前层每个节点，判断是否存在至少一个红色节点
         for current_layer_key, current_layer_value in current_layer_keys.items():
             current_layer_ori_key = current_layer_value[0]
-            node_html = current_layer_value[1]
+            node_element = current_layer_value[1]
             if current_layer_key in layer_norm_eles:
                 for layer_norm_ele_value in layer_norm_eles[current_layer_key]:
                     if layer_norm_ele_value[2] != parent_keyy:
@@ -225,19 +211,18 @@ def find_blocks_drop(self, element, depth, element_dict, parent_keyy, parent_lab
                         break
             # 动态id匹配逻辑
             elif self.dynamic_id_enable and current_layer_key[2]:
-                node_label, matched_ele_key, is_drop_tail = self.__match_tag_class(layer_nodes, current_layer_ori_key, parent_keyy,
-                                                                     node_html, template_doc)
+                layer_nodes = element_dict.get(depth, {})
+                node_html = html.tostring(node_element, encoding='utf-8').decode()
+                node_label, matched_ele_key, is_drop_tail = self.__match_tag_class(layer_nodes, current_layer_ori_key, parent_keyy, node_html, template_doc)
                 if node_label is None and self.dynamic_classid_enable:
-                    node_label, matched_ele_key, is_drop_tail = self.__match_tag(layer_nodes, current_layer_ori_key, parent_keyy,
-                                                                   node_html,
-                                                                   template_doc, False, True)
+                    node_label, matched_ele_key, is_drop_tail = self.__match_tag(layer_nodes, current_layer_ori_key, parent_keyy, node_html, template_doc, False, True)
                 if node_label is None:
                     continue
                 # 采用element dict中的key来替换
                 if current_layer_key == keyy:
                     keyy = matched_ele_key
                     element.set('id', matched_ele_key[2])
-                if current_layer_key in layer_nodes_dict:
+                if matched_ele_key in layer_nodes_dict:
                     layer_nodes_dict[matched_ele_key].append(node_label)
                     layer_nodes_dict_drop_tail[matched_ele_key].append(is_drop_tail)
                 else:
@@ -246,16 +231,16 @@ def find_blocks_drop(self, element, depth, element_dict, parent_keyy, parent_lab
                 if node_label == 'red':
                     has_red = True
             elif self.dynamic_id_enable and self.dynamic_classid_enable and current_layer_key[1]:
-                node_label, matched_ele_key, is_drop_tail = self.__match_tag(layer_nodes, current_layer_ori_key, parent_keyy,
-                                                               node_html,
-                                                               template_doc, True, False)
+                layer_nodes = element_dict.get(depth, {})
+                node_html = html.tostring(node_element, encoding='utf-8').decode()
+                node_label, matched_ele_key, is_drop_tail = self.__match_tag(layer_nodes, current_layer_ori_key, parent_keyy, node_html, template_doc, True, False)
                 if node_label is None:
                     continue
                 # 采用element dict中的key来替换
                 if current_layer_key == keyy:
                     keyy = matched_ele_key
                     element.set('class', matched_ele_key[1])
-                if current_layer_key in layer_nodes_dict:
+                if matched_ele_key in layer_nodes_dict:
                     layer_nodes_dict[matched_ele_key].append(node_label)
                     layer_nodes_dict_drop_tail[matched_ele_key].append(is_drop_tail)
                 else:
@@ -300,6 +285,8 @@ def drop_node_element(self, html_source, element_dict, template_dict_html):
         # 解析 HTML 内容
         tree = html_to_element(html_source)
         doc = html_to_element(template_dict_html)
+        # 预处理元素字典和有效ids
+        self._preprocess_template_data(element_dict, doc, tree)
         self.find_blocks_drop(tree, 0, element_dict, None, '', doc, tree)
         return element_to_html(tree)
 
@@ -360,6 +347,47 @@ def __get_max_width_layer(self, element_dict):
 
         return max_width_layer - 2 if max_width_layer > 4 else 3
 
+    def _preprocess_template_data(self, element_dict, template_doc, tree):
+        elements_with_id = tree.xpath('//*[@id]')
+        elements_with_id_dict = template_doc.xpath('//*[@id]')
+        ids_count = {}
+        ids_count_dict = {}
+        # 提取所有 id 的值
+        all_ids = [element.get('id') for element in elements_with_id]
+        for id in all_ids:
+            ids_count[id] = ids_count.get(id, 0) + 1
+        for id, count in ids_count.items():
+            if count > 3:
+                self.ids[id] = False
+            else:
+                self.ids[id] = True
+
+        # 提取所有element dict id 的值
+        all_ids_dict = [element.get('id') for element in elements_with_id_dict]
+        for id in all_ids_dict:
+            ids_count_dict[id] = ids_count_dict.get(id, 0) + 1
+        for id, count in ids_count_dict.items():
+            if count > 3:
+                self.ids[id] = False
+            else:
+                self.ids[id] = self.ids.get(id, True)
+        self.processed_template_data = {}
+
+        for depth, layer_nodes in element_dict.items():
+            layer_norm_eles = {}
+            for ele_keyy, ele_value in layer_nodes.items():
+                ele_parent_keyy = self.normalize_key(ele_value[1])
+                if ele_parent_keyy is not None:
+                    ele_parent_keyy = tuple(ele_parent_keyy)
+                ele_label = ele_value[0]
+                is_drop_tail = ele_value[3]
+                norm_ele_keyy = self.normalize_key(ele_keyy[:3])
+                if norm_ele_keyy in layer_norm_eles:
+                    layer_norm_eles[norm_ele_keyy].append((ele_label, ele_keyy[:3], ele_parent_keyy, is_drop_tail))
+                else:
+                    layer_norm_eles[norm_ele_keyy] = [(ele_label, ele_keyy[:3], ele_parent_keyy, is_drop_tail)]
+            self.processed_template_data[depth] = layer_norm_eles
+
     def __match_tag_class(self, layer_nodes, current_layer_key, parent_key, node_html, template_doc):
         # 构建主键和父键的key
         current_norm_key = (self.normalize_key((current_layer_key[0], current_layer_key[1], None)), parent_key)
@@ -424,8 +452,14 @@ def __match_tag(self, layer_nodes, current_layer_key, parent_key, node_html, tem
                 template_sim = similarity(feature1, feature2, layer_n=3)
                 if template_sim >= self.dynamic_classid_similarity_threshold:
                     return ele_label, self.normalize_key(ele_keyy[0:3]), is_drop_tail
+        for ele_keyy, ele_value in layer_nodes.items():
             # first class方案
             if ele_keyy[1] is not None and current_layer_key[1] is not None:
+                ele_parent_keyy = self.normalize_key(ele_value[1])
+                ele_label = ele_value[0]
+                is_drop_tail = ele_value[3]
+                if ele_parent_keyy is not None:
+                    ele_parent_keyy = tuple(ele_parent_keyy)
                 current_norm_key_with_first_class = (
                     self.normalize_key((current_layer_key[0], current_layer_key[1].strip().split(' ')[0], None)),
                     parent_key)
@@ -433,7 +467,8 @@ def __match_tag(self, layer_nodes, current_layer_key, parent_key, node_html, tem
                 norm_ele_keyy_parent_with_first_class = (norm_ele_keyy_with_first_class, ele_parent_keyy)
                 if current_norm_key_with_first_class == norm_ele_keyy_parent_with_first_class:
                     first_class_res = ele_label, self.normalize_key(ele_keyy[0:3]), is_drop_tail
-        return first_class_res
+                    return first_class_res
+        return None, None, None
 
     def __is_natural_language(self, text, min_words=10):
         """判断文本是否像自然语言.
@@ -443,5 +478,5 @@ def __is_natural_language(self, text, min_words=10):
         :return: bool
         """
         # 移除标点符号和多余空格
-        cleaned_text = re.sub(r'[^\w\s]', '', text.strip())
+        cleaned_text = NATURAL_LANGUAGE_REGEX.sub('', text.strip())
         return len(cleaned_text) >= min_words
diff --git a/llm_web_kit/main_html_parser/simplify_html/simplify_html.py b/llm_web_kit/main_html_parser/simplify_html/simplify_html.py
index 3c37da8e..05b8352e 100644
--- a/llm_web_kit/main_html_parser/simplify_html/simplify_html.py
+++ b/llm_web_kit/main_html_parser/simplify_html/simplify_html.py
@@ -3,6 +3,7 @@
 import uuid
 from typing import Dict, List, Tuple
 
+from bs4 import BeautifulSoup
 from lxml import etree, html
 from selectolax.parser import HTMLParser
 
@@ -858,8 +859,12 @@ def simplify_html(html_str) -> etree.Element:
        _xpath_mapping: xpath映射
    """
     # 使用selectolax的HTMLParser来修复html
-    soup = HTMLParser(html_str)
-    fixed_html = soup.html
+    try:
+        soup = HTMLParser(html_str)
+        fixed_html = soup.html
+    except Exception:
+        soup = BeautifulSoup(html_str, 'html.parser')
+        fixed_html = str(soup)
 
     preprocessed_html = remove_xml_declaration(fixed_html)
     # 注释通过lxml的HTMLParser的remove_comments参数处理
diff --git a/llm_web_kit/simple.py b/llm_web_kit/simple.py
index fca6fbbb..f2303771 100644
--- a/llm_web_kit/simple.py
+++ b/llm_web_kit/simple.py
@@ -113,7 +113,7 @@ def extract_main_html_only(url: str, html_content: str, parser_type: str = PipeT
     return result.get('main_html', '')
 
 
-def extract_content_from_main_html(url: str, main_html: str, output_format: str = 'md', language: str = 'en') -> str:
+def extract_content_from_main_html(url: str, main_html: str, output_format: str = 'md', language: str = 'en', use_raw_image_url: bool = False) -> str:
     """场景2: 只执行第二阶段，从main_html抽取结构化内容.
 
     Args:
@@ -121,6 +121,7 @@ def extract_content_from_main_html(url: str, main_html: str, output_format: str
         main_html: 已经抽取的主要HTML内容
         output_format: 输出格式，'md' 或 'mm_md' 或 'plain_md'
         language: 语言，可选：'en' 或 'zh'
+        use_raw_image_url: 是否使用原始图片URL（仅对mm_md格式有效）
 
     Returns:
         str: 结构化的内容（markdown格式）
@@ -131,7 +132,7 @@ def extract_content_from_main_html(url: str, main_html: str, output_format: str
     if output_format == 'md':
         return content_list.to_nlp_md()
     elif output_format == 'mm_md':
-        return content_list.to_mm_md()
+        return content_list.to_mm_md(use_raw_image_url=use_raw_image_url)
     elif output_format == 'plain_md':
         return content_list.to_plain_md()
     elif output_format == 'json':
@@ -141,7 +142,7 @@ def extract_content_from_main_html(url: str, main_html: str, output_format: str
 
 
 def extract_content_from_html_with_magic_html(url: str, html_content: str, output_format: str = 'md',
-                                              language: str = 'en') -> str:
+                                              language: str = 'en', use_raw_image_url: bool = False) -> str:
     """场景3: 执行两个阶段，从magic_html抽取main_html，再从main_html抽取结构化内容.
 
     Args:
@@ -149,6 +150,7 @@ def extract_content_from_html_with_magic_html(url: str, html_content: str, outpu
         html_content: 原始HTML内容
         output_format: 输出格式，'md' 或 'mm_md' 或 'plain_md'
         language: 语言，可选：'en' 或 'zh'
+        use_raw_image_url: 是否使用原始图片URL（仅对mm_md格式有效）
 
     Returns:
         str: 结构化的内容（markdown格式）
@@ -159,7 +161,7 @@ def extract_content_from_html_with_magic_html(url: str, html_content: str, outpu
     if output_format == 'md':
         return content_list.to_nlp_md()
     elif output_format == 'mm_md':
-        return content_list.to_mm_md()
+        return content_list.to_mm_md(use_raw_image_url=use_raw_image_url)
     elif output_format == 'plain_md':
         return content_list.to_plain_md()
     elif output_format == 'json':
@@ -169,7 +171,7 @@ def extract_content_from_html_with_magic_html(url: str, html_content: str, outpu
 
 
 def extract_content_from_html_with_llm(url: str, html_content: str, output_format: str = 'md',
-                                       language: str = 'en') -> str:
+                                       language: str = 'en', use_raw_image_url: bool = False) -> str:
     """场景3: 执行两个阶段，从llm抽取main_html，再从main_html抽取结构化内容.
 
     Args:
@@ -177,6 +179,7 @@ def extract_content_from_html_with_llm(url: str, html_content: str, output_forma
         html_content: 原始HTML内容
         output_format: 输出格式，'md' 或 'mm_md' 或 'plain_md'
         language: 语言，可选：'en' 或 'zh'
+        use_raw_image_url: 是否使用原始图片URL（仅对mm_md格式有效）
 
     Returns:
         str: 结构化的内容（markdown格式）
@@ -187,7 +190,7 @@ def extract_content_from_html_with_llm(url: str, html_content: str, output_forma
     if output_format == 'md':
         return content_list.to_nlp_md()
     elif output_format == 'mm_md':
-        return content_list.to_mm_md()
+        return content_list.to_mm_md(use_raw_image_url=use_raw_image_url)
     elif output_format == 'plain_md':
         return content_list.to_plain_md()
     elif output_format == 'json':
@@ -197,7 +200,7 @@ def extract_content_from_html_with_llm(url: str, html_content: str, output_forma
 
 
 def extract_content_from_html_with_layout_batch(url: str, html_content: str, output_format: str = 'md',
-                                                language: str = 'en') -> str:
+                                                language: str = 'en', use_raw_image_url: bool = False) -> str:
     """场景3: 执行两个阶段，从layout_batch抽取main_html，再从main_html抽取结构化内容.
 
     Args:
@@ -205,6 +208,7 @@ def extract_content_from_html_with_layout_batch(url: str, html_content: str, out
         html_content: 原始HTML内容
         output_format: 输出格式，'md' 或 'mm_md' 或 'plain_md'
         language: 语言，可选：'en' 或 'zh'
+        use_raw_image_url: 是否使用原始图片URL（仅对mm_md格式有效）
 
     Returns:
         str: 结构化的内容（markdown格式）
@@ -215,7 +219,7 @@ def extract_content_from_html_with_layout_batch(url: str, html_content: str, out
     if output_format == 'md':
         return content_list.to_nlp_md()
     elif output_format == 'mm_md':
-        return content_list.to_mm_md()
+        return content_list.to_mm_md(use_raw_image_url=use_raw_image_url)
     elif output_format == 'plain_md':
         return content_list.to_plain_md()
     elif output_format == 'json':
diff --git a/requirements/runtime.txt b/requirements/runtime.txt
index ba3671e1..6e12c89f 100644
--- a/requirements/runtime.txt
+++ b/requirements/runtime.txt
@@ -26,6 +26,7 @@ py-asciimath==0.3.0
 pyahocorasick==2.0.0
 pydantic==2.11.7
 pydantic-settings==2.10.1
+pylatexenc==2.10
 python-dotenv==1.1.1
 python-multipart==0.0.20
 scikit-learn>=1.6.1
diff --git a/tests/llm_web_kit/extractor/assets/extractor_chain_input/good_data/html/clean_invisible_elements.html b/tests/llm_web_kit/extractor/assets/extractor_chain_input/good_data/html/clean_invisible_elements.html
new file mode 100644
index 00000000..5ca2c395
--- /dev/null
+++ b/tests/llm_web_kit/extractor/assets/extractor_chain_input/good_data/html/clean_invisible_elements.html
@@ -0,0 +1,3834 @@
+<!doctype html>
+<html class="js" lang="en">
+  <head>
+<!--LOOMI SDK-->
+<!--DO NOT EDIT-->
+<!--Start - Anti Flicker-->
+<style id="vslyAntiFlickerStyle-AE29">
+    body {
+        opacity: 0;
+    }
+</style>
+<style id="vslyAntiFlickerStyle-BC82">
+    body {
+
+        animation: vslyAntiFlickerFadeIn 0.1s linear;
+        -moz-animation: vslyAntiFlickerFadeIn 0.1s linear;
+        -o-animation: vslyAntiFlickerFadeIn 0.1s linear;
+        -webkit-animation: vslyAntiFlickerFadeIn 0.1s linear;
+
+        animation-fill-mode: forwards;
+        -moz-animation-fill-mode: forwards;
+        -o-animation-fill-mode: forwards;
+        -webkit-animation-fill-mode: forwards;
+
+        animation-delay: 500ms;
+        -moz-animation-delay: 500ms;
+        -o-animation-delay: 500ms;
+        -webkit-animation-delay: 500ms;
+    }
+
+    @keyframes vslyAntiFlickerFadeIn {
+        to {
+            opacity: 1;
+        }
+    }
+</style>
+<script id="vslyAntiFlickerScript-OJ93">
+    console.debug('vsly-anti-flicker', 'Anti Flicker Script Loaded');
+    let fallbackTimer = -1;
+    let retryTimer = -1;
+    let retries = 0;
+
+    function _vslyAntiFlickerRevealInner() {
+        try {
+            console.debug('vsly-anti-flicker', 'Revealing');
+            const hideElem = document.querySelector('#vslyAntiFlickerStyle-AE29');
+            if (hideElem) {
+                hideElem.remove();
+            }
+            clearTimeout(fallbackTimer);
+            console.debug('vsly-anti-flicker', 'Revealing done');
+        } catch (ex) {
+            console.error('vsly-anti-flicker', ex);
+            if (retries > 15) {
+                setTimeout(window.vslyAntiFlickerReveal, 10);
+                retries += 1;
+            }
+        }
+    }
+
+    window.vslyAntiFlickerReveal = function () {
+        setTimeout(_vslyAntiFlickerRevealInner, 10);
+    }
+
+    fallbackTimer = setTimeout(() => {
+        console.debug('vsly-anti-flicker', 'Falling back after timeout');
+        window._vslyAntiFlickerRevealInner()
+        clearTimeout(retryTimer)
+    }, 500)
+</script>
+<!--End - Anti Flicker-->
+<link rel="preconnect"  href="https://live.visually-io.com/" crossorigin>
+<link rel="dns-prefetch" href="https://live.visually-io.com/">
+<script>
+(()=> {
+    const env = 2;
+    var store = "heylo-australia.myshopify.com";
+    var alias = store.replace(".myshopify.com", "").replaceAll("-", "_").toUpperCase();
+    var jitsuKey =  "js.76967149857";
+    window.loomi_ctx = {...(window.loomi_ctx || {}),storeAlias:alias,jitsuKey,env};
+
+
+
+})()
+</script>
+<link href="https://live.visually-io.com/widgets/vsly-preact.min.js?k=js.76967149857&e=2&s=HEYLO_AUSTRALIA" rel="preload" as="script">
+<script type="text/javascript" src="https://live.visually-io.com/widgets/vsly-preact.min.js?k=js.76967149857&e=2&s=HEYLO_AUSTRALIA"></script>
+<link href="https://live.visually-io.com/cf/HEYLO_AUSTRALIA.js" rel="preload" as="script">
+<link href="https://live.visually-io.com/v/visually.js" rel="preload" as="script">
+<script type="text/javascript" src="https://live.visually-io.com/cf/HEYLO_AUSTRALIA.js"></script>
+<script type="text/javascript" src="https://live.visually-io.com/v/visually.js"></script>
+<script defer type="text/javascript" src="https://live.visually-io.com/v/visually-a.js"></script>
+<!--LOOMI SDK-->
+
+
+<!-- Start of Shoplift scripts -->
+<!-- 2025-02-10T06:07:09.2518524Z -->
+<style>.shoplift-hide { opacity: 0 !important; }</style>
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Date,utmSource:t,utmMedium:e,utmCampaign:s,utmContent:i,referrer:o,device:n}}checkForThemePreview(){return this.log("Checking for theme preview"),this.isThemePreview()?this.state.essential.isMerchant?(this.log("Merchant previewing theme"),this.clearThemeBar(!0,!1,this.state),!0):this.state.essential.visitorTests.some(t=>t.isThemeTest&&this.getHypothesis(t.hypothesisId)&&t.themeId===themeId)?(this.log("On active theme test, removing theme bar"),this.clearThemeBar(!1,!0,this.state),!1):this.state.essential.visitorTests.some(t=>t.isThemeTest&&!this.getHypothesis(t.hypothesisId)&&t.themeId===themeId)?(this.log("Visitor is on an inactive theme test, redirecting to main theme"),this.redirectToMainTheme(),!0):this.state.essential.isFirstLoad?(this.log("No visitor found on theme preview, redirecting to main theme"),this.redirectToMainTheme(),!0):this.inactiveTestConfigs.some(t=>t.hypotheses.some(e=>e.themeId===themeId))?(this.log("Current theme is an inactive theme test, redirecting to main theme"),this.redirectToMainTheme(),!0):this.testConfigs.some(t=>t.hypotheses.some(e=>e.themeId===themeId))?(this.log("Falling back to clearing theme bar"),this.clearThemeBar(!1,!0,this.state),!1):(this.log("No tests on current theme, skipping script"),this.clearThemeBar(!0,!1,this.state),!0):(this.log("Not on theme preview"),this.clearThemeBar(!0,!1,this.state),!1)}redirectToMainTheme(){this.hidePage();const t=new URL(window.location.toString());t.searchParams.set("preview_theme_id",""),this.queueRedirect(t)}testsForUrl(t){const e=new URL(window.location.href),s=this.typeFromTemplate();return t.filter(i=>i.hypotheses.some(o=>o.type!=="dom"&&(o.isControl&&o.type===s&&o.affix===template.suffix||o.type==="theme"||o.isControl&&o.type==="urlRedirect"&&o.redirectPath&&e.pathname.endsWith(o.redirectPath)||o.type==="basicScript"))&&(i.ignoreTestViewParameterEnforcement||!e.searchParams.has("view")||i.hypotheses.map(o=>o.affix).includes(e.searchParams.get("view")??"")))}domTestsForUrl(t){const e=new URL(window.location.href);return t.filter(s=>s.hypotheses.some(i=>i.type==="dom"&&i.domSelectors&&i.domSelectors.some(o=>new RegExp(V(o)).test(e.toString()))))}async filterTestsByAudience(t,e,s){const i=[];let o=e.country;!o&&t.some(n=>n.requiresCountry&&!s.some(a=>a.testId===n.id))&&(this.log("Hiding page to check geoip"),this.hidePage(),o=await this.makeJsonRequest({method:"get",url:`${this.eventHost}/api/v0/visitors/get-country`,signal:AbortSignal.timeout(this.getCountryTimeout)}).catch(n=>(this.log("Error getting country",n),null)));for(const n of t){this.log("Checking audience for test '%s'",n.id);const a=this.visitorCreatedDuringTestActive(n.statusHistory);(s.some(h=>h.testId===n.id&&(n.device==="all"||n.device===e.device&&n.device===this.device))||this.isTargetAudience(n,e,a,o))&&(this.log("Visitor is in audience for test '%s'",n.id),i.push(n))}this.testsFilteredByAudience=i}isTargetAudience(t,e,s,i){const o=this.getChannel(e);return(t.device==="all"||t.device===e.device&&t.device===this.device)&&(t.visitorOption==="all"||t.visitorOption==="new"&&s||t.visitorOption==="returning"&&!s)&&(t.targetAudiences.length===0||t.targetAudiences.reduce((n,a)=>n||a.reduce((c,h)=>c&&h(e,s,o,i),!0),!1))}visitorCreatedDuringTestActive(t){let e="";for(const s of t){if(this.state.analytics.visitor!==null&&this.state.analytics.visitor.createdAt<s.createdAt||this.state.essential.initialState.createdAt<s.createdAt)break;e=s.status}return e==="active"}getDomTestsForCurrentUrl(){return this.domTestsForUrl(this.testsFilteredByAudience)}getCurrentVisitorHypothesis(t){return t.flatMap(e=>e.hypotheses).find(e=>e.type!=="dom"&&this.state.essential.visitorTests.some(s=>s.hypothesisId===e.id))}getVisitorDomHypothesis(t){return t.flatMap(e=>e.hypotheses).filter(e=>e.type==="dom"&&this.state.essential.visitorTests.some(s=>s.hypothesisId===e.id))}getHypothesis(t){return this.testConfigs.filter(e=>e.hypotheses.some(s=>s.id===t)).map(e=>e.hypotheses.find(s=>s.id===t))[0]}hasThemeTest(t){return t.some(e=>e.hypotheses.some(s=>s.type==="theme"))}hasTestThatIsNotThemeTest(t){return t.some(e=>e.hypotheses.some(s=>s.type!=="theme"&&s.type!=="dom"))}hasThemeAndOtherTestTypes(t){return this.hasThemeTest(t)&&this.hasTestThatIsNotThemeTest(t)}testIsPaused(t){return t.status==="paused"||t.status==="incompatible"||t.status==="suspended"}visitorActiveTestType(){const t=this.state.essential.visitorTests.filter(e=>this.testConfigs.some(s=>s.hypotheses.some(i=>i.id==e.hypothesisId)));return t.length===0?null:t.some(e=>e.isThemeTest)?"theme":"templateOrUrlRedirect"}pickHypothesis(t){let e=Math.random();const s=t.hypotheses.reduce((o,n)=>o+n.visitorCount,0);return t.hypotheses.sort((o,n)=>o.isControl?n.isControl?0:-1:n.isControl?1:0).reduce((o,n)=>{if(o!==null)return o;const c=t.hypotheses.reduce((h,d)=>h&&d.visitorCount>20,!0)?n.visitorCount/s-n.trafficPercentage:0;return e<=n.trafficPercentage-c?n:(e-=n.trafficPercentage,null)},null)}typeFromTemplate(){switch(template.type){case"collection-list":return"collectionList";case"page":return"landing";case"article":case"blog":case"cart":case"collection":case"index":case"product":case"search":return template.type;default:return null}}queueRedirect(t){this.saveState(),window.setTimeout(()=>window.location.assign(t),0)}async syncAllEvents(){const t=async()=>{if(this.isSyncing){window.setTimeout(()=>void(async()=>await t())(),500);return}try{this.isSyncing=!0,await this.syncEvents(),this.syncGAEvents()}finally{this.isSyncing=!1}};await t()}async syncEvents(){var s,i;if(!this.state.essential.consentApproved||!this.shopifyAnalyticsId||this.state.analytics.queue.length===0)return;const t=this.state.analytics.queue.length,e=this.state.analytics.queue.splice(0,t);this.log("Syncing %s events",t);try{const o={shop:this.shop,visitorDetails:{shopifyAnalyticsId:this.shopifyAnalyticsId,device:((s=this.state.analytics.visitor)==null?void 0:s.device)??this.device,country:((i=this.state.analytics.visitor)==null?void 0:i.country)??null,...this.state.essential.initialState},events:this.state.essential.visitorTests.filter(a=>!a.isInvalid&&!a.isSaved).map(a=>new P(a.testId,a.hypothesisId,a.createdAt)).concat(e)},n=await this.sendEvents(o);n!==null&&this.updateLocalVisitor(n)}catch{this.state.analytics.queue.splice(0,0,...e)}finally{this.saveState()}}syncGAEvents(){if(!this.useGtag||!this.state.essential.consentApproved)return;const t=this.state.essential.visitorTests.filter(e=>e.shouldSendToGa);this.log("Syncing %s ga events",length);try{for(const e of t)this.sendGtagEvent(e.testId,e.hypothesisId),e.shouldSendToGa=!1}catch(e){this.log("Failed sending event to gtag",e)}finally{this.persistEssentialState()}}sendGtagEvent(t,e){this.log("Sending gtag event for",t,e);const s={exp_variant_string:`SL-${t}-${e}`};this.shopliftDebug&&Object.assign(s,{debug_mode:!0}),typeof window.gtag=="function"?gtag("event","experience_impression",s):(this.log("gtag not found, pushing to dataLayer"),window.dataLayer=window.dataLayer||[],window.dataLayer.push({event:"experience_impression",...s}))}updateLocalVisitor(t){let e;({visitorTests:e,...this.state.analytics.visitor}=t);for(const s of this.state.essential.visitorTests.filter(i=>!e.some(o=>o.testId===i.testId)))s.isSaved=!0,s.isInvalid=!0;for(const s of e)this.state.essential.visitorTests.some(o=>o.testId===s.testId)||this.state.essential.visitorTests.push(s);this.state.analytics.visitor.storedAt=new Date}async getVisitor(t){try{return await this.makeJsonRequest({method:"get",url:`${this.eventHost}/api/v0/visitors/by-key/${this.shop}/${t}`})}catch{return null}}async sendEvents(t){return await this.makeJsonRequest({method:"post",url:`${this.eventHost}/api/v0/events`,data:JSON.stringify(t)})}async getRemoteVisitor(t){return await this.makeJsonRequest({method:"get",url:`${this.eventHost}/api/v0/visitors/${t}`})}async updateShopifyAnalyticsId(t,e){return await this.makeJsonRequest({method:"put",url:`${this.eventHost}/api/v0/visitors/${t}`,data:JSON.stringify({shop:this.shop,shopifyAnalyticsId:e})})}getUTMValue(t){const s=decodeURIComponent(window.location.search.substring(1)).split("&");for(let i=0;i<s.length;i++){const o=s[i].split("=");if(o[0]===t)return o[1]||null}return null}hidePage(){this.log("Hiding page"),this.cssHideClass&&!window.document.documentElement.classList.contains(this.cssHideClass)&&(window.document.documentElement.classList.add(this.cssHideClass),setTimeout(this.removeAsyncHide(this.cssHideClass),2e3))}showPage(){this.cssHideClass&&this.removeAsyncHide(this.cssHideClass)()}getDeviceType(){function t(){let s=!1;return function(i){(/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge 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)|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(i.substr(0,4)))&&(s=!0)}(navigator.userAgent||navigator.vendor),s}return t()?"mobile":e()?"tablet":"desktop"}removeAsyncHide(t){return()=>{t&&window.document.documentElement.classList.remove(t)}}async getCartState(){try{let t=await this.makeJsonRequest({method:"get",url:`${window.location.origin}/cart.js`});return t===null?null:(t.note===null&&(t=await this.makeJsonRequest({method:"post",url:`${window.location.origin}/cart/update.js`,data:JSON.stringify({note:""})})),t)}catch(t){return this.log("Error sending cart info",t),null}}async makeJsonRequest(t){const e=await this.makeRequest(t);return e===null?null:JSON.parse(await e.text(),g)}async makeRequest(t){const{url:e,method:s,headers:i,data:o,signal:n}=t,a=new Headers;if(i)for(const h in i)a.append(h,i[h]);(!i||!i.Accept)&&a.append("Accept","application/json"),(!i||!i["Content-Type"])&&a.append("Content-Type","application/json"),(this.eventHost.includes("ngrok.io")||this.eventHost.includes("ngrok-free.app"))&&a.append("ngrok-skip-browser-warning","1234");const c=await this.fetch(e,{method:s,headers:a,body:o,signal:n});if(!c.ok){if(c.status===204)return null;if(c.status===422){const h=await c.json();if(typeof h<"u"&&h.isBot)throw new w}throw new Error(`Error sending shoplift request ${c.status}`)}return c}queueAddVisitorToTest(t,e){this.state.essential.visitorTests.some(s=>s.testId===t)||this.state.essential.visitorTests.push({createdAt:new Date,testId:t,hypothesisId:e.id,isThemeTest:e.type==="theme",themeId:e.themeId,isSaved:!1,isInvalid:!1,shouldSendToGa:!0})}queueCartUpdate(t){this.queueEvent(new x(t))}queuePageView(t){this.queueEvent(new E(t))}queueEvent(t){!this.state.essential.consentApproved&&this.state.essential.hasConsentInteraction||this.state.analytics.queue.length>10||this.state.analytics.queue.push(t)}legacyGetLocalStorageVisitor(){const t=this.localStorageGet(this.legacySessionKey);if(t)try{return JSON.parse(t,g)}catch{}return null}pruneStateAndSave(){this.state.essential.visitorTests=this.state.essential.visitorTests.filter(t=>this.testConfigs.some(e=>e.id==t.testId)||this.inactiveTestConfigs.filter(e=>this.testIsPaused(e)).some(e=>e.id===t.testId)),this.saveState()}saveState(){this.persistEssentialState(),this.persistAnalyticsState()}loadState(){const t=this.loadAnalyticsState(),e={analytics:t,essential:this.loadEssentialState(t)},s=this.legacyGetLocalStorageVisitor(),i=this.legacyGetCookieVisitor(),o=[s,i].filter(n=>n!==null).sort((n,a)=>+a.storedAt-+n.storedAt)[0];return e.analytics.visitor===null&&o&&({visitorTests:e.essential.visitorTests,...e.analytics.visitor}=o,e.essential.isFirstLoad=!1,e.essential.initialState={createdAt:o.createdAt,referrer:o.referrer,utmCampaign:o.utmCampaign,utmContent:o.utmContent,utmMedium:o.utmMedium,utmSource:o.utmSource,device:o.device},this.deleteCookie("SHOPLIFT"),this.deleteLocalStorage(this.legacySessionKey)),!e.essential.consentApproved&&e.essential.hasConsentInteraction&&this.deleteLocalStorage(this.analyticsSessionKey),e}loadEssentialState(t){var a;const e=this.loadLocalStorage(this.essentialSessionKey),s=this.loadCookie(this.essentialSessionKey),i=this.getInitialState();(a=t.visitor)!=null&&a.device&&(i.device=t.visitor.device);const o={timestamp:new Date,consentApproved:!1,hasConsentInteraction:!1,debugMode:!1,initialState:i,visitorTests:[],isMerchant:!1,isFirstLoad:!0},n=[e,s].filter(c=>c!==null).sort((c,h)=>+h.timestamp-+c.timestamp)[0]??o;return n.initialState||(t.visitor!==null?n.initialState=t.visitor:(n.initialState=i,n.initialState.createdAt=n.timestamp)),n}loadAnalyticsState(){const t=this.loadLocalStorage(this.analyticsSessionKey),e=this.loadCookie(this.analyticsSessionKey),s={timestamp:new Date,visitor:null,queue:[]};return[t,e].filter(i=>i!==null).sort((i,o)=>+o.timestamp-+i.timestamp)[0]??s}persistEssentialState(){this.log("Persisting essential state"),this.state.essential.isFirstLoad=!1,this.persistLocalStorageState(this.essentialSessionKey,this.state.essential),this.persistCookieState(this.essentialSessionKey,this.state.essential)}persistAnalyticsState(){this.log("Persisting analytics state"),this.state.essential.consentApproved&&(this.persistLocalStorageState(this.analyticsSessionKey,this.state.analytics),this.persistCookieState(this.analyticsSessionKey,this.state.analytics))}loadLocalStorage(t){const e=this.localStorageGet(t);return e===null?null:JSON.parse(e,g)}loadCookie(t){const e=this.getCookie(t);return e===null?null:JSON.parse(e,g)}persistLocalStorageState(t,e){e.timestamp=new Date,this.localStorageSet(t,JSON.stringify(e))}persistCookieState(t,e){e.timestamp=new Date;const s=JSON.stringify(e),i=new Date(new Date().getTime()+864e5*365).toUTCString();document.cookie=`${t}=${s};domain=.${window.location.hostname};path=/;expires=${i};SameSite=Strict;`}deleteCookie(t){const e=new Date(0).toUTCString();document.cookie=`${t}=;domain=.${window.location.hostname};path=/;expires=${e};`}deleteLocalStorage(t){window.localStorage.removeItem(t)}getChannel(t){var s;return((s=[{"name":"cross-network","test":(v) => new RegExp(".*cross-network.*", "i").test(v.utmCampaign)},{"name":"direct","test":(v) => v.utmSource === "" && v.utmMedium === ""},{"name":"paid-shopping","test":(v) => (new RegExp("^(?:Google|IGShopping|aax-us-east\.amazon-adsystem\.com|aax\.amazon-adsystem\.com|alibaba|alibaba\.com|amazon|amazon\.co\.uk|amazon\.com|apps\.shopify\.com|checkout\.shopify\.com|checkout\.stripe\.com|cr\.shopping\.naver\.com|cr2\.shopping\.naver\.com|ebay|ebay\.co\.uk|ebay\.com|ebay\.com\.au|ebay\.de|etsy|etsy\.com|m\.alibaba\.com|m\.shopping\.naver\.com|mercadolibre|mercadolibre\.com|mercadolibre\.com\.ar|mercadolibre\.com\.mx|message\.alibaba\.com|msearch\.shopping\.naver\.com|nl\.shopping\.net|no\.shopping\.net|offer\.alibaba\.com|one\.walmart\.com|order\.shopping\.yahoo\.co\.jp|partners\.shopify\.com|s3\.amazonaws\.com|se\.shopping\.net|shop\.app|shopify|shopify\.com|shopping\.naver\.com|shopping\.yahoo\.co\.jp|shopping\.yahoo\.com|shopzilla|shopzilla\.com|simplycodes\.com|store\.shopping\.yahoo\.co\.jp|stripe|stripe\.com|uk\.shopping\.net|walmart|walmart\.com)$", "i").test(v.utmSource) || new RegExp("^(.*(([^a-df-z]|^)shop|shopping).*)$", "i").test(v.utmCampaign)) && new RegExp("^(.*cp.*|ppc|retargeting|paid.*)$", "i").test(v.utmMedium)},{"name":"paid-search","test":(v) => new 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false,effectiveTopLevelDomain: "",initData: {"shop":{"name":"Heylo MG","paymentSettings":{"currencyCode":"AUD"},"myshopifyDomain":"heylo-australia.myshopify.com","countryCode":"AU","storefrontUrl":"https://heylomg.au"},"customer":null,"cart":null,"checkout":null,"productVariants":[],"purchasingCompany":null},},function pageEvents(webPixelsManagerAPI) {webPixelsManagerAPI.publish("page_viewed", {});},"https://heylomg.au/cdn","b519f743wf7390a5dpf633394amcee913e5",{"modern":"","legacy":""},{"shopId":"76967149857","storefrontBaseUrl":"https://heylomg.au","extensionBaseUrl":"https://extensions.shopifycdn.com/cdn/shopifycloud/web-pixels-manager","surface":"storefront-renderer","enabledBetaFlags":"[\"6a396365\"]","isMerchantRequest":"false","hashVersion":"b519f743wf7390a5dpf633394amcee913e5"});</script>  <script>window.ShopifyAnalytics = window.ShopifyAnalytics || {};
+window.ShopifyAnalytics.meta = window.ShopifyAnalytics.meta || {};
+window.ShopifyAnalytics.meta.currency = 'AUD';
+var meta = {"page":{"pageType":"page","resourceType":"page","resourceId":149696151841}};
+for (var attr in meta) {
+  window.ShopifyAnalytics.meta[attr] = meta[attr];
+}</script>
+<script>window.ShopifyAnalytics.merchantGoogleAnalytics = function() {
+
+};
+</script>
+<script class="analytics">(function () {
+    var customDocumentWrite = function(content) {
+      var jquery = null;
+
+      if (window.jQuery) {
+        jquery = window.jQuery;
+      } else if (window.Checkout && window.Checkout.$) {
+        jquery = window.Checkout.$;
+      }
+
+      if (jquery) {
+        jquery('body').append(content);
+      }
+    };
+
+    var hasLoggedConversion = function(token) {
+      if (token) {
+        return document.cookie.indexOf('loggedConversion=' + token) !== -1;
+      }
+      return false;
+    }
+
+    var setCookieIfConversion = function(token) {
+      if (token) {
+        var twoMonthsFromNow = new Date(Date.now());
+        twoMonthsFromNow.setMonth(twoMonthsFromNow.getMonth() + 2);
+
+        document.cookie = 'loggedConversion=' + token + '; expires=' + twoMonthsFromNow;
+      }
+    }
+
+    var trekkie = window.ShopifyAnalytics.lib = window.trekkie = window.trekkie || [];
+    if (trekkie.integrations) {
+      return;
+    }
+    trekkie.methods = [
+      'identify',
+      'page',
+      'ready',
+      'track',
+      'trackForm',
+      'trackLink'
+    ];
+    trekkie.factory = function(method) {
+      return function() {
+        var args = Array.prototype.slice.call(arguments);
+        args.unshift(method);
+        trekkie.push(args);
+        return trekkie;
+      };
+    };
+    for (var i = 0; i < trekkie.methods.length; i++) {
+      var key = trekkie.methods[i];
+      trekkie[key] = trekkie.factory(key);
+    }
+    trekkie.load = function(config) {
+      trekkie.config = config || {};
+      trekkie.config.initialDocumentCookie = document.cookie;
+      var first = document.getElementsByTagName('script')[0];
+      var script = document.createElement('script');
+      script.type = 'text/javascript';
+      script.onerror = function(e) {
+        var scriptFallback = document.createElement('script');
+        scriptFallback.type = 'text/javascript';
+        scriptFallback.onerror = function(error) {
+                var Monorail = {
+      produce: function produce(monorailDomain, schemaId, payload) {
+        var currentMs = new Date().getTime();
+        var event = {
+          schema_id: schemaId,
+          payload: payload,
+          metadata: {
+            event_created_at_ms: currentMs,
+            event_sent_at_ms: currentMs
+          }
+        };
+        return Monorail.sendRequest("https://" + monorailDomain + "/v1/produce", JSON.stringify(event));
+      },
+      sendRequest: function sendRequest(endpointUrl, payload) {
+        // Try the sendBeacon API
+        if (window && window.navigator && typeof window.navigator.sendBeacon === 'function' && typeof window.Blob === 'function' && !Monorail.isIos12()) {
+          var blobData = new window.Blob([payload], {
+            type: 'text/plain'
+          });
+
+          if (window.navigator.sendBeacon(endpointUrl, blobData)) {
+            return true;
+          } // sendBeacon was not successful
+
+        } // XHR beacon
+
+        var xhr = new XMLHttpRequest();
+
+        try {
+          xhr.open('POST', endpointUrl);
+          xhr.setRequestHeader('Content-Type', 'text/plain');
+          xhr.send(payload);
+        } catch (e) {
+          console.log(e);
+        }
+
+        return false;
+      },
+      isIos12: function isIos12() {
+        return window.navigator.userAgent.lastIndexOf('iPhone; CPU iPhone OS 12_') !== -1 || window.navigator.userAgent.lastIndexOf('iPad; CPU OS 12_') !== -1;
+      }
+    };
+    Monorail.produce('monorail-edge.shopifysvc.com',
+      'trekkie_storefront_load_errors/1.1',
+      {shop_id: 76967149857,
+      theme_id: 175998697761,
+      app_name: "storefront",
+      context_url: window.location.href,
+      source_url: "//heylomg.au/cdn/s/trekkie.storefront.6790784e88524d17bc2df67c3d0c5047adb2d676.min.js"});
+
+        };
+        scriptFallback.async = true;
+        scriptFallback.src = '//heylomg.au/cdn/s/trekkie.storefront.6790784e88524d17bc2df67c3d0c5047adb2d676.min.js';
+        first.parentNode.insertBefore(scriptFallback, first);
+      };
+      script.async = true;
+      script.src = '//heylomg.au/cdn/s/trekkie.storefront.6790784e88524d17bc2df67c3d0c5047adb2d676.min.js';
+      first.parentNode.insertBefore(script, first);
+    };
+    trekkie.load(
+      {"Trekkie":{"appName":"storefront","development":false,"defaultAttributes":{"shopId":76967149857,"isMerchantRequest":null,"themeId":175998697761,"themeCityHash":"16754102787924114894","contentLanguage":"en","currency":"AUD"},"isServerSideCookieWritingEnabled":true,"monorailRegion":"shop_domain"},"Session Attribution":{},"S2S":{"facebookCapiEnabled":false,"source":"trekkie-storefront-renderer","apiClientId":580111}}
+    );
+
+    var loaded = false;
+    trekkie.ready(function() {
+      if (loaded) return;
+      loaded = true;
+
+      window.ShopifyAnalytics.lib = window.trekkie;
+
+
+      var originalDocumentWrite = document.write;
+      document.write = customDocumentWrite;
+      try { window.ShopifyAnalytics.merchantGoogleAnalytics.call(this); } catch(error) {};
+      document.write = originalDocumentWrite;
+
+      window.ShopifyAnalytics.lib.page(null,{"pageType":"page","resourceType":"page","resourceId":149696151841,"shopifyEmitted":true});
+
+      var match = window.location.pathname.match(/checkouts\/(.+)\/(thank_you|post_purchase)/)
+      var token = match? match[1]: undefined;
+      if (!hasLoggedConversion(token)) {
+        setCookieIfConversion(token);
+
+      }
+    });
+
+
+        var eventsListenerScript = document.createElement('script');
+        eventsListenerScript.async = true;
+        eventsListenerScript.src = "//heylomg.au/cdn/shopifycloud/shopify/assets/shop_events_listener-bbbf3223c550be0dd72914a2fa06aaa88eb8943e96f9ea31fb63e7e27e0f97f4.js";
+        document.getElementsByTagName('head')[0].appendChild(eventsListenerScript);
+
+})();</script>
+<script
+  defer
+  src="https://heylomg.au/cdn/shopifycloud/perf-kit/shopify-perf-kit-1.4.1.min.js"
+  data-application="storefront-renderer"
+  data-shop-id="76967149857"
+  data-render-region="gcp-us-east1"
+  data-page-type="page"
+  data-theme-instance-id="175998697761"
+  data-monorail-region="shop_domain"
+  data-resource-timing-sampling-rate="10"
+></script>
+</head>
+
+  <body class="gradient">
+    <a class="skip-to-content-link button visually-hidden" href="#MainContent">
+      Skip to content
+    </a><!-- BEGIN sections: header-group -->
+<section id="shopify-section-sections--24168376598817__1731903940f16dff6e" class="shopify-section shopify-section-group-header-group section"><div class="page-width scroll-trigger animate--slide-in"><div id="shopify-block-AcDBJOTFaaHRJY09Oa__hextom_shipping_bar_fsb_custom_placement_G8FhW9" class="shopify-block shopify-app-block"><div id="fsb_placeholder"></div>
+
+
+</div>
+</div>
+
+
+</section><div id="shopify-section-sections--24168376598817__header" class="shopify-section shopify-section-group-header-group section-header-new-header"><link rel="stylesheet" href="//heylomg.au/cdn/shop/t/18/assets/component-list-menu.aio.min.css?v=27952074149928535711737518251" media="print" onload="this.media='all'">
+<link rel="stylesheet" href="//heylomg.au/cdn/shop/t/18/assets/component-search.aio.min.css?v=49058245669862386051737518268" media="print" onload="this.media='all'">
+<link rel="stylesheet" href="//heylomg.au/cdn/shop/t/18/assets/component-menu-drawer.aio.min.css?v=28620065496868408771737518256" media="print" onload="this.media='all'">
+<link rel="stylesheet" href="//heylomg.au/cdn/shop/t/18/assets/component-cart-notification.aio.min.css?v=162737616064110554001737518243" media="print" onload="this.media='all'"><link rel="stylesheet" href="//heylomg.au/cdn/shop/t/18/assets/component-price.aio.min.css?v=75103386653529018311737518263" media="print" onload="this.media='all'"><style>
+  header-drawer {
+    justify-self: start;
+    margin-left: -1.2rem;
+  }@media screen and (min-width: 990px) {
+      header-drawer {
+        display: none;
+      }
+    }.menu-drawer-container {
+    display: flex;
+  }
+
+  .list-menu {
+    list-style: none;
+    padding: 0;
+    margin: 0;
+  }
+
+  .list-menu--inline {
+    display: inline-flex;
+    flex-wrap: wrap;
+  }
+
+  summary.list-menu__item {
+    padding-right: 2.7rem;
+  }
+
+  .list-menu__item {
+    display: flex;
+    align-items: center;
+    line-height: calc(1 + 0.3 / var(--font-body-scale));
+  }
+
+  .list-menu__item--link {
+    text-decoration: none;
+    padding-bottom: 1rem;
+    padding-top: 1rem;
+    line-height: calc(1 + 0.8 / var(--font-body-scale));
+  }
+
+  @media screen and (min-width: 750px) {
+    .list-menu__item--link {
+      padding-bottom: 0.5rem;
+      padding-top: 0.5rem;
+    }
+  }
+</style><style data-shopify>.header {
+    padding: 10px 3rem 10px 3rem;
+  }
+
+  .section-header {
+    position: sticky; /* This is for fixing a Safari z-index issue. PR #2147 */
+    margin-bottom: 0px;
+  }
+
+  @media screen and (min-width: 750px) {
+    .section-header {
+      margin-bottom: 0px;
+    }
+  }
+
+  @media screen and (min-width: 990px) {
+    .header {
+      padding-top: 20px;
+      padding-bottom: 20px;
+    }
+  }</style><script src="//heylomg.au/cdn/shop/t/18/assets/cart-notification.js?v=133508293167896966491737518235" defer="defer"></script><sticky-header data-sticky-type="on-scroll-up" class="header-wrapper color-scheme-1 gradient header-wrapper--border-bottom"><header class="header header--middle-left header--mobile-center page-width header--has-menu header--has-social header--has-account">
+
+<header-drawer data-breakpoint="tablet">
+  <details id="Details-menu-drawer-container" class="menu-drawer-container">
+    <summary
+      class="header__icon header__icon--menu header__icon--summary link focus-inset"
+      aria-label="Menu"
+    >
+      <span><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-hamburger" viewBox="0 0 18 16"><path fill="currentColor" d="M1 .5a.5.5 0 1 0 0 1h15.71a.5.5 0 0 0 0-1zM.5 8a.5.5 0 0 1 .5-.5h15.71a.5.5 0 0 1 0 1H1A.5.5 0 0 1 .5 8m0 7a.5.5 0 0 1 .5-.5h15.71a.5.5 0 0 1 0 1H1a.5.5 0 0 1-.5-.5"/></svg>
+<svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-close" viewBox="0 0 18 17"><path fill="currentColor" d="M.865 15.978a.5.5 0 0 0 .707.707l7.433-7.431 7.579 7.282a.501.501 0 0 0 .846-.37.5.5 0 0 0-.153-.351L9.712 8.546l7.417-7.416a.5.5 0 1 0-.707-.708L8.991 7.853 1.413.573a.5.5 0 1 0-.693.72l7.563 7.268z"/></svg>
+</span>
+    </summary>
+    <div id="menu-drawer" class="gradient menu-drawer motion-reduce color-scheme-1">
+      <div class="menu-drawer__inner-container">
+        <div class="menu-drawer__navigation-container">
+          <nav class="menu-drawer__navigation">
+            <ul class="menu-drawer__menu has-submenu list-menu" role="list"><li><a
+                      id="HeaderDrawer-shop-products"
+                      href="/collections"
+                      class="menu-drawer__menu-item list-menu__item link link--text focus-inset"
+
+                    >
+                      Shop Products
+                    </a></li><li><a
+                      id="HeaderDrawer-magnesium"
+                      href="/pages/magnesium"
+                      class="menu-drawer__menu-item list-menu__item link link--text focus-inset"
+
+                    >
+                      Magnesium
+                    </a></li><li><details id="Details-menu-drawer-menu-item-3">
+                      <summary
+                        id="HeaderDrawer-about-heylo"
+                        class="menu-drawer__menu-item list-menu__item link link--text focus-inset"
+                      >
+                        About Heylo
+                        <span class="svg-wrapper"><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-arrow" viewBox="0 0 14 10"><path fill="currentColor" fill-rule="evenodd" d="M8.537.808a.5.5 0 0 1 .817-.162l4 4a.5.5 0 0 1 0 .708l-4 4a.5.5 0 1 1-.708-.708L11.793 5.5H1a.5.5 0 0 1 0-1h10.793L8.646 1.354a.5.5 0 0 1-.109-.546" clip-rule="evenodd"/></svg>
+</span>
+                        <span class="svg-wrapper"><svg class="icon icon-caret" viewBox="0 0 10 6"><path fill="currentColor" fill-rule="evenodd" d="M9.354.646a.5.5 0 0 0-.708 0L5 4.293 1.354.646a.5.5 0 0 0-.708.708l4 4a.5.5 0 0 0 .708 0l4-4a.5.5 0 0 0 0-.708" clip-rule="evenodd"/></svg>
+</span>
+                      </summary>
+                      <div
+                        id="link-about-heylo"
+                        class="menu-drawer__submenu has-submenu gradient motion-reduce"
+                        tabindex="-1"
+                      >
+                        <div class="menu-drawer__inner-submenu">
+                          <button class="menu-drawer__close-button link link--text focus-inset" aria-expanded="true">
+                            <span class="svg-wrapper"><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-arrow" viewBox="0 0 14 10"><path fill="currentColor" fill-rule="evenodd" d="M8.537.808a.5.5 0 0 1 .817-.162l4 4a.5.5 0 0 1 0 .708l-4 4a.5.5 0 1 1-.708-.708L11.793 5.5H1a.5.5 0 0 1 0-1h10.793L8.646 1.354a.5.5 0 0 1-.109-.546" clip-rule="evenodd"/></svg>
+</span>
+                            About Heylo
+                          </button>
+                          <ul class="menu-drawer__menu list-menu" role="list" tabindex="-1"><li><a
+                                    id="HeaderDrawer-about-heylo-our-story-vision"
+                                    href="/pages/about-us"
+                                    class="menu-drawer__menu-item link link--text list-menu__item focus-inset"
+
+                                  >
+                                    Our Story &amp; Vision
+                                  </a></li><li><a
+                                    id="HeaderDrawer-about-heylo-heylo-blog"
+                                    href="/blogs/news"
+                                    class="menu-drawer__menu-item link link--text list-menu__item focus-inset"
+
+                                  >
+                                    Heylo Blog
+                                  </a></li></ul>
+                        </div>
+                      </div>
+                    </details></li><li><details id="Details-menu-drawer-menu-item-4">
+                      <summary
+                        id="HeaderDrawer-contact-us"
+                        class="menu-drawer__menu-item list-menu__item link link--text focus-inset"
+                      >
+                        Contact Us
+                        <span class="svg-wrapper"><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-arrow" viewBox="0 0 14 10"><path fill="currentColor" fill-rule="evenodd" d="M8.537.808a.5.5 0 0 1 .817-.162l4 4a.5.5 0 0 1 0 .708l-4 4a.5.5 0 1 1-.708-.708L11.793 5.5H1a.5.5 0 0 1 0-1h10.793L8.646 1.354a.5.5 0 0 1-.109-.546" clip-rule="evenodd"/></svg>
+</span>
+                        <span class="svg-wrapper"><svg class="icon icon-caret" viewBox="0 0 10 6"><path fill="currentColor" fill-rule="evenodd" d="M9.354.646a.5.5 0 0 0-.708 0L5 4.293 1.354.646a.5.5 0 0 0-.708.708l4 4a.5.5 0 0 0 .708 0l4-4a.5.5 0 0 0 0-.708" clip-rule="evenodd"/></svg>
+</span>
+                      </summary>
+                      <div
+                        id="link-contact-us"
+                        class="menu-drawer__submenu has-submenu gradient motion-reduce"
+                        tabindex="-1"
+                      >
+                        <div class="menu-drawer__inner-submenu">
+                          <button class="menu-drawer__close-button link link--text focus-inset" aria-expanded="true">
+                            <span class="svg-wrapper"><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-arrow" viewBox="0 0 14 10"><path fill="currentColor" fill-rule="evenodd" d="M8.537.808a.5.5 0 0 1 .817-.162l4 4a.5.5 0 0 1 0 .708l-4 4a.5.5 0 1 1-.708-.708L11.793 5.5H1a.5.5 0 0 1 0-1h10.793L8.646 1.354a.5.5 0 0 1-.109-.546" clip-rule="evenodd"/></svg>
+</span>
+                            Contact Us
+                          </button>
+                          <ul class="menu-drawer__menu list-menu" role="list" tabindex="-1"><li><a
+                                    id="HeaderDrawer-contact-us-contact-us"
+                                    href="/pages/contact"
+                                    class="menu-drawer__menu-item link link--text list-menu__item focus-inset"
+
+                                  >
+                                    Contact US
+                                  </a></li><li><a
+                                    id="HeaderDrawer-contact-us-faq"
+                                    href="/pages/faq"
+                                    class="menu-drawer__menu-item link link--text list-menu__item focus-inset"
+
+                                  >
+                                    FAQ
+                                  </a></li><li><a
+                                    id="HeaderDrawer-contact-us-wholesale"
+                                    href="/pages/contact"
+                                    class="menu-drawer__menu-item link link--text list-menu__item focus-inset"
+
+                                  >
+                                    Wholesale
+                                  </a></li><li><a
+                                    id="HeaderDrawer-contact-us-stockists"
+                                    href="/pages/stockist"
+                                    class="menu-drawer__menu-item link link--text list-menu__item focus-inset"
+
+                                  >
+                                    Stockists
+                                  </a></li></ul>
+                        </div>
+                      </div>
+                    </details></li></ul>
+          </nav>
+          <div class="menu-drawer__utility-links"><a
+                href="https://heylomg.au/customer_authentication/redirect?locale=en&region_country=AU"
+                class="menu-drawer__account link focus-inset h5 medium-hide large-up-hide"
+                rel="nofollow"
+              ><account-icon><span class="svg-wrapper"><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-account" viewBox="0 0 18 19"><path fill="currentColor" fill-rule="evenodd" d="M6 4.5a3 3 0 1 1 6 0 3 3 0 0 1-6 0m3-4a4 4 0 1 0 0 8 4 4 0 0 0 0-8m5.58 12.15c1.12.82 1.83 2.24 1.91 4.85H1.51c.08-2.6.79-4.03 1.9-4.85C4.66 11.75 6.5 11.5 9 11.5s4.35.26 5.58 1.15M9 10.5c-2.5 0-4.65.24-6.17 1.35C1.27 12.98.5 14.93.5 18v.5h17V18c0-3.07-.77-5.02-2.33-6.15-1.52-1.1-3.67-1.35-6.17-1.35" clip-rule="evenodd"/></svg>
+</span></account-icon>Log in</a><div class="menu-drawer__localization header-localization"><localization-form><form method="post" action="/localization" id="HeaderCountryMobileForm" accept-charset="UTF-8" class="localization-form" enctype="multipart/form-data"><input type="hidden" name="form_type" value="localization" /><input type="hidden" name="utf8" value="✓" /><input type="hidden" name="_method" value="put" /><input type="hidden" name="return_to" value="/pages/main-faqs" /><div>
+                        <h2 class="visually-hidden" id="HeaderCountryMobileLabel">
+                          Country/region
+                        </h2>
+
+<div class="disclosure">
+  <button
+    type="button"
+    class="disclosure__button localization-form__select localization-selector link link--text caption-large"
+    aria-expanded="false"
+    aria-controls="HeaderCountryMobile-country-results"
+    aria-describedby="HeaderCountryMobileLabel"
+  >
+    <span>Australia |
+      AUD
+      $</span>
+    <svg class="icon icon-caret" viewBox="0 0 10 6"><path fill="currentColor" fill-rule="evenodd" d="M9.354.646a.5.5 0 0 0-.708 0L5 4.293 1.354.646a.5.5 0 0 0-.708.708l4 4a.5.5 0 0 0 .708 0l4-4a.5.5 0 0 0 0-.708" clip-rule="evenodd"/></svg>
+
+  </button>
+  <div class="disclosure__list-wrapper country-selector" hidden>
+    <div class="country-filter">
+
+        <div class="field">
+          <input
+            class="country-filter__input field__input"
+            id="country-filter-input"
+            type="search"
+            name="country_filter"
+            value=""
+            placeholder="Search"
+            role="combobox"
+            aria-owns="country-results"
+            aria-controls="country-results"
+            aria-haspopup="listbox"
+            aria-autocomplete="list"
+            autocorrect="off"
+            autocomplete="off"
+            autocapitalize="off"
+            spellcheck="false"
+          >
+          <label class="field__label" for="country-filter-input">Search</label>
+          <button
+            type="reset"
+            class="country-filter__reset-button field__button hidden"
+            aria-label="Clear search term"
+          ><svg fill="none" stroke="currentColor" class="icon icon-close" viewBox="0 0 18 18"><circle cx="9" cy="9" r="8.5" stroke-opacity=".2"/><path stroke-linecap="round" stroke-linejoin="round" d="M11.83 11.83 6.172 6.17M6.229 11.885l5.544-5.77"/></svg>
+</button>
+          <div class="country-filter__search-icon field__button motion-reduce"><svg fill="none" class="icon icon-search" viewBox="0 0 18 19"><path fill="currentColor" fill-rule="evenodd" d="M11.03 11.68A5.784 5.784 0 1 1 2.85 3.5a5.784 5.784 0 0 1 8.18 8.18m.26 1.12a6.78 6.78 0 1 1 .72-.7l5.4 5.4a.5.5 0 1 1-.71.7z" clip-rule="evenodd"/></svg>
+</div>
+        </div>
+
+      <button
+        class="country-selector__close-button button--small link"
+        type="button"
+        aria-label="Close"
+      ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-close" viewBox="0 0 18 17"><path fill="currentColor" d="M.865 15.978a.5.5 0 0 0 .707.707l7.433-7.431 7.579 7.282a.501.501 0 0 0 .846-.37.5.5 0 0 0-.153-.351L9.712 8.546l7.417-7.416a.5.5 0 1 0-.707-.708L8.991 7.853 1.413.573a.5.5 0 1 0-.693.72l7.563 7.268z"/></svg>
+</button>
+    </div>
+    <div id="sr-country-search-results" class="visually-hidden" aria-live="polite"></div>
+    <div
+      class="disclosure__list country-selector__list country-selector__list--with-multiple-currencies"
+      id="HeaderCountryMobile-country-results"
+    >
+
+      <ul role="list" class="list-unstyled countries"><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+                aria-current="true"
+
+              data-value="AU"
+              id="Australia"
+            >
+              <span
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">Australia</span>
+              <span class="localization-form__currency motion-reduce">
+                AUD
+                $</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="AT"
+              id="Austria"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">Austria</span>
+              <span class="localization-form__currency motion-reduce">
+                EUR
+                €</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="BE"
+              id="Belgium"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">Belgium</span>
+              <span class="localization-form__currency motion-reduce">
+                EUR
+                €</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="CA"
+              id="Canada"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">Canada</span>
+              <span class="localization-form__currency motion-reduce">
+                CAD
+                $</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="CZ"
+              id="Czechia"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">Czechia</span>
+              <span class="localization-form__currency motion-reduce">
+                CZK
+                Kč</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="DK"
+              id="Denmark"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">Denmark</span>
+              <span class="localization-form__currency motion-reduce">
+                DKK
+                kr.</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="FI"
+              id="Finland"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">Finland</span>
+              <span class="localization-form__currency motion-reduce">
+                EUR
+                €</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="FR"
+              id="France"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">France</span>
+              <span class="localization-form__currency motion-reduce">
+                EUR
+                €</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="DE"
+              id="Germany"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">Germany</span>
+              <span class="localization-form__currency motion-reduce">
+                EUR
+                €</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="HK"
+              id="Hong Kong SAR"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">Hong Kong SAR</span>
+              <span class="localization-form__currency motion-reduce">
+                HKD
+                $</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="IE"
+              id="Ireland"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">Ireland</span>
+              <span class="localization-form__currency motion-reduce">
+                EUR
+                €</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="IL"
+              id="Israel"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">Israel</span>
+              <span class="localization-form__currency motion-reduce">
+                ILS
+                ₪</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="IT"
+              id="Italy"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">Italy</span>
+              <span class="localization-form__currency motion-reduce">
+                EUR
+                €</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="JP"
+              id="Japan"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">Japan</span>
+              <span class="localization-form__currency motion-reduce">
+                JPY
+                ¥</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="MY"
+              id="Malaysia"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">Malaysia</span>
+              <span class="localization-form__currency motion-reduce">
+                MYR
+                RM</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="NL"
+              id="Netherlands"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">Netherlands</span>
+              <span class="localization-form__currency motion-reduce">
+                EUR
+                €</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="NZ"
+              id="New Zealand"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">New Zealand</span>
+              <span class="localization-form__currency motion-reduce">
+                NZD
+                $</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="NO"
+              id="Norway"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">Norway</span>
+              <span class="localization-form__currency motion-reduce">
+                AUD
+                $</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="PL"
+              id="Poland"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">Poland</span>
+              <span class="localization-form__currency motion-reduce">
+                PLN
+                zł</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="PT"
+              id="Portugal"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">Portugal</span>
+              <span class="localization-form__currency motion-reduce">
+                EUR
+                €</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="SG"
+              id="Singapore"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">Singapore</span>
+              <span class="localization-form__currency motion-reduce">
+                SGD
+                $</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="KR"
+              id="South Korea"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">South Korea</span>
+              <span class="localization-form__currency motion-reduce">
+                KRW
+                ₩</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="ES"
+              id="Spain"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">Spain</span>
+              <span class="localization-form__currency motion-reduce">
+                EUR
+                €</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="SE"
+              id="Sweden"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">Sweden</span>
+              <span class="localization-form__currency motion-reduce">
+                SEK
+                kr</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="CH"
+              id="Switzerland"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">Switzerland</span>
+              <span class="localization-form__currency motion-reduce">
+                CHF
+                CHF</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="AE"
+              id="United Arab Emirates"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">United Arab Emirates</span>
+              <span class="localization-form__currency motion-reduce">
+                AED
+                د.إ</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="GB"
+              id="United Kingdom"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">United Kingdom</span>
+              <span class="localization-form__currency motion-reduce">
+                GBP
+                £</span>
+            </a>
+          </li><li class="disclosure__item" tabindex="-1">
+            <a
+              class="link link--text disclosure__link caption-large focus-inset"
+              href="#"
+
+              data-value="US"
+              id="United States"
+            >
+              <span
+
+                  class="visibility-hidden"
+
+              ><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-checkmark" viewBox="0 0 12 9"><path fill="currentColor" fill-rule="evenodd" d="M11.35.643a.5.5 0 0 1 .006.707l-6.77 6.886a.5.5 0 0 1-.719-.006L.638 4.845a.5.5 0 1 1 .724-.69l2.872 3.011 6.41-6.517a.5.5 0 0 1 .707-.006z" clip-rule="evenodd"/></svg>
+</span>
+              <span class="country">United States</span>
+              <span class="localization-form__currency motion-reduce">
+                USD
+                $</span>
+            </a>
+          </li></ul>
+    </div>
+  </div>
+  <div class="country-selector__overlay"></div>
+</div>
+<input type="hidden" name="country_code" value="AU">
+</div></form></localization-form>
+
+</div><ul class="list list-social list-unstyled" role="list"><li class="list-social__item">
+                  <a href="#" class="list-social__link link">
+                    <span class="svg-wrapper"><svg class="icon icon-facebook" viewBox="0 0 20 20"><path fill="currentColor" d="M18 10.049C18 5.603 14.419 2 10 2s-8 3.603-8 8.049C2 14.067 4.925 17.396 8.75 18v-5.624H6.719v-2.328h2.03V8.275c0-2.017 1.195-3.132 3.023-3.132.874 0 1.79.158 1.79.158v1.98h-1.009c-.994 0-1.303.621-1.303 1.258v1.51h2.219l-.355 2.326H11.25V18c3.825-.604 6.75-3.933 6.75-7.951"/></svg>
+</span>
+                    <span class="visually-hidden">Facebook</span>
+                  </a>
+                </li><li class="list-social__item">
+                  <a href="https://www.instagram.com/heylomg.au" class="list-social__link link">
+                    <span class="svg-wrapper"><svg class="icon icon-instagram" viewBox="0 0 20 20"><path fill="currentColor" fill-rule="evenodd" d="M13.23 3.492c-.84-.037-1.096-.046-3.23-.046-2.144 0-2.39.01-3.238.055-.776.027-1.195.164-1.487.273a2.4 2.4 0 0 0-.912.593 2.5 2.5 0 0 0-.602.922c-.11.282-.238.702-.274 1.486-.046.84-.046 1.095-.046 3.23s.01 2.39.046 3.229c.004.51.097 1.016.274 1.495.145.365.319.639.602.913.282.282.538.456.92.602.474.176.974.268 1.479.273.848.046 1.103.046 3.238.046s2.39-.01 3.23-.046c.784-.036 1.203-.164 1.486-.273.374-.146.648-.329.921-.602.283-.283.447-.548.602-.922.177-.476.27-.979.274-1.486.037-.84.046-1.095.046-3.23s-.01-2.39-.055-3.229c-.027-.784-.164-1.204-.274-1.495a2.4 2.4 0 0 0-.593-.913 2.6 2.6 0 0 0-.92-.602c-.284-.11-.703-.237-1.488-.273ZM6.697 2.05c.857-.036 1.131-.045 3.302-.045a63 63 0 0 1 3.302.045c.664.014 1.321.14 1.943.374a4 4 0 0 1 1.414.922c.41.397.728.88.93 1.414.23.622.354 1.279.365 1.942C18 7.56 18 7.824 18 10.005c0 2.17-.01 2.444-.046 3.292-.036.858-.173 1.442-.374 1.943-.2.53-.474.976-.92 1.423a3.9 3.9 0 0 1-1.415.922c-.51.191-1.095.337-1.943.374-.857.036-1.122.045-3.302.045-2.171 0-2.445-.009-3.302-.055-.849-.027-1.432-.164-1.943-.364a4.15 4.15 0 0 1-1.414-.922 4.1 4.1 0 0 1-.93-1.423c-.183-.51-.329-1.085-.365-1.943C2.009 12.45 2 12.167 2 10.004c0-2.161 0-2.435.055-3.302.027-.848.164-1.432.365-1.942a4.4 4.4 0 0 1 .92-1.414 4.2 4.2 0 0 1 1.415-.93c.51-.183 1.094-.33 1.943-.366Zm.427 4.806a4.105 4.105 0 1 1 5.805 5.805 4.105 4.105 0 0 1-5.805-5.805m1.882 5.371a2.668 2.668 0 1 0 2.042-4.93 2.668 2.668 0 0 0-2.042 4.93m5.922-5.942a.958.958 0 1 1-1.355-1.355.958.958 0 0 1 1.355 1.355" clip-rule="evenodd"/></svg>
+</span>
+                    <span class="visually-hidden">Instagram</span>
+                  </a>
+                </li><li class="list-social__item">
+                  <a href="#" class="list-social__link link">
+                    <span class="svg-wrapper"><svg class="icon icon-tiktok" viewBox="0 0 20 20"><path fill="currentColor" d="M10.511 1.705h2.74s-.157 3.51 3.795 3.768v2.711s-2.114.129-3.796-1.158l.028 5.606A5.073 5.073 0 1 1 8.213 7.56h.708v2.785a2.298 2.298 0 1 0 1.618 2.205z"/></svg>
+</span>
+                    <span class="visually-hidden">TikTok</span>
+                  </a>
+                </li></ul>
+          </div>
+        </div>
+      </div>
+    </div>
+  </details>
+</header-drawer>
+<!--header--><a href="/" class="header__heading-link link link--text focus-inset"><div class="header__heading-logo-wrapper">
+
+                <img src="//heylomg.au/cdn/shop/files/Logo_Dark_Blue_1.png?v=1728980282&amp;width=600" alt="Heylo MG" srcset="//heylomg.au/cdn/shop/files/Logo_Dark_Blue_1.png?v=1728980282&amp;width=300 300w, //heylomg.au/cdn/shop/files/Logo_Dark_Blue_1.png?v=1728980282&amp;width=450 450w, //heylomg.au/cdn/shop/files/Logo_Dark_Blue_1.png?v=1728980282&amp;width=600 600w" width="300" height="98.01526717557252" loading="eager" class="header__heading-logo motion-reduce" sizes="(max-width: 600px) 50vw, 300px">
+              </div></a><!--header-->
+
+
+<!---search-->
+
+
+ <!---search-->
+
+
+
+    <!--header-new--><!---header-new-->
+
+    <!--header-icon-->
+    <div class="header__icons">
+      <div class="desktop-localization-wrapper">
+</div>
+
+
+<details-modal class="header__search">
+  <details>
+    <summary
+      class="header__icon header__icon--search header__icon--summary link focus-inset modal__toggle"
+      aria-haspopup="dialog"
+      aria-label="Search"
+    >
+      <span>
+        <span class="svg-wrapper"><svg fill="none" class="icon icon-search" viewBox="0 0 18 19"><path fill="currentColor" fill-rule="evenodd" d="M11.03 11.68A5.784 5.784 0 1 1 2.85 3.5a5.784 5.784 0 0 1 8.18 8.18m.26 1.12a6.78 6.78 0 1 1 .72-.7l5.4 5.4a.5.5 0 1 1-.71.7z" clip-rule="evenodd"/></svg>
+</span>
+        <span class="svg-wrapper header__icon-close"><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-close" viewBox="0 0 18 17"><path fill="currentColor" d="M.865 15.978a.5.5 0 0 0 .707.707l7.433-7.431 7.579 7.282a.501.501 0 0 0 .846-.37.5.5 0 0 0-.153-.351L9.712 8.546l7.417-7.416a.5.5 0 1 0-.707-.708L8.991 7.853 1.413.573a.5.5 0 1 0-.693.72l7.563 7.268z"/></svg>
+</span>
+      </span>
+    </summary>
+    <div
+      class="search-modal modal__content gradient"
+      role="dialog"
+      aria-modal="true"
+      aria-label="Search"
+    >
+      <div class="modal-overlay"></div>
+      <div
+        class="search-modal__content search-modal__content-bottom"
+        tabindex="-1"
+      ><predictive-search class="search-modal__form" data-loading-text="Loading..."><form action="/search" method="get" role="search" class="search search-modal__form">
+          <div class="field">
+            <input
+              class="search__input field__input"
+              id="Search-In-Modal"
+              type="search"
+              name="q"
+              value=""
+              placeholder="Search"role="combobox"
+                aria-expanded="false"
+                aria-owns="predictive-search-results"
+                aria-controls="predictive-search-results"
+                aria-haspopup="listbox"
+                aria-autocomplete="list"
+                autocorrect="off"
+                autocomplete="off"
+                autocapitalize="off"
+                spellcheck="false">
+            <label class="field__label" for="Search-In-Modal">Search</label>
+            <input type="hidden" name="options[prefix]" value="last">
+            <button
+              type="reset"
+              class="reset__button field__button hidden"
+              aria-label="Clear search term"
+            >
+              <span class="svg-wrapper"><svg fill="none" stroke="currentColor" class="icon icon-close" viewBox="0 0 18 18"><circle cx="9" cy="9" r="8.5" stroke-opacity=".2"/><path stroke-linecap="round" stroke-linejoin="round" d="M11.83 11.83 6.172 6.17M6.229 11.885l5.544-5.77"/></svg>
+</span>
+            </button>
+            <button class="search__button field__button" aria-label="Search">
+              <span class="svg-wrapper"><svg fill="none" class="icon icon-search" viewBox="0 0 18 19"><path fill="currentColor" fill-rule="evenodd" d="M11.03 11.68A5.784 5.784 0 1 1 2.85 3.5a5.784 5.784 0 0 1 8.18 8.18m.26 1.12a6.78 6.78 0 1 1 .72-.7l5.4 5.4a.5.5 0 1 1-.71.7z" clip-rule="evenodd"/></svg>
+</span>
+            </button>
+          </div><div class="predictive-search predictive-search--header" tabindex="-1" data-predictive-search>
+
+<div class="predictive-search__loading-state">
+  <svg xmlns="http://www.w3.org/2000/svg" class="spinner" viewBox="0 0 66 66"><circle stroke-width="6" cx="33" cy="33" r="30" fill="none" class="path"/></svg>
+
+</div>
+</div>
+
+            <span class="predictive-search-status visually-hidden" role="status" aria-hidden="true"></span></form></predictive-search><button
+          type="button"
+          class="search-modal__close-button modal__close-button link link--text focus-inset"
+          aria-label="Close"
+        >
+          <span class="svg-wrapper"><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-close" viewBox="0 0 18 17"><path fill="currentColor" d="M.865 15.978a.5.5 0 0 0 .707.707l7.433-7.431 7.579 7.282a.501.501 0 0 0 .846-.37.5.5 0 0 0-.153-.351L9.712 8.546l7.417-7.416a.5.5 0 1 0-.707-.708L8.991 7.853 1.413.573a.5.5 0 1 0-.693.72l7.563 7.268z"/></svg>
+</span>
+        </button>
+      </div>
+    </div>
+  </details>
+</details-modal>
+
+<a
+          href="https://heylomg.au/customer_authentication/redirect?locale=en&region_country=AU"
+          class="header__icon header__icon--account link focus-inset small-hide"
+          rel="nofollow"
+        ><account-icon><span class="svg-wrapper"><svg xmlns="http://www.w3.org/2000/svg" fill="none" class="icon icon-account" viewBox="0 0 18 19"><path fill="currentColor" fill-rule="evenodd" d="M6 4.5a3 3 0 1 1 6 0 3 3 0 0 1-6 0m3-4a4 4 0 1 0 0 8 4 4 0 0 0 0-8m5.58 12.15c1.12.82 1.83 2.24 1.91 4.85H1.51c.08-2.6.79-4.03 1.9-4.85C4.66 11.75 6.5 11.5 9 11.5s4.35.26 5.58 1.15M9 10.5c-2.5 0-4.65.24-6.17 1.35C1.27 12.98.5 14.93.5 18v.5h17V18c0-3.07-.77-5.02-2.33-6.15-1.52-1.1-3.67-1.35-6.17-1.35" clip-rule="evenodd"/></svg>
+</span></account-icon><span class="visually-hidden">Log in</span>
+        </a><a href="#swym-wishlist" class="swym-wishlist">
+   <i aria-hidden="true" focusable="false" role="presentation" class="fa-regular fa-heart"></i>
+</a>
+
+      <a href="/cart" class="header__icon header__icon--cart link focus-inset" id="cart-icon-bubble">
+
+            <span class="svg-wrapper"><svg width="22" height="25" viewBox="0 0 22 25" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path d="M19.7411 7.00828C19.5888 6.6156 19.2398 6.58167 17.5246 6.58167H16.0993V5.96116C16.0993 4.99645 15.9618 4.32261 15.6275 3.62937C15.023 2.3738 14.0107 1.49635 12.6985 1.08914C12.0595 0.895227 11.1061 0.812815 10.5261 0.900075C8.91903 1.15216 7.54783 2.16535 6.84996 3.60999C6.51084 4.31776 6.37324 4.99645 6.37324 5.96116V6.58652H4.94306C3.22785 6.58652 2.87891 6.62046 2.72655 7.02766C2.64792 7.2846 1.91072 12.8063 1.59618 15.1865C1.32096 17.2613 1.06539 19.2198 0.878638 20.6935C0.554269 23.2338 0.564099 23.2726 0.573928 23.3162V23.3211C0.61816 23.4859 1.05557 23.9173 1.18826 24.0433L1.76327 24.596H20.6749L21.1024 24.2227C21.2942 24.0531 21.9282 23.4762 21.9282 23.1902C21.9282 22.9962 19.7804 7.11977 19.7411 7.00828ZM20.3751 22.8217C20.3702 22.8556 20.3308 22.9574 20.262 23.0302L20.1638 23.1368H2.3088L2.05325 22.8653L3.06075 15.4435C3.41461 12.8014 3.72914 10.4987 3.9159 9.12191C3.99945 8.52079 4.03877 8.21537 4.05843 8.0651C4.7219 8.06025 7.62155 8.05539 11.2289 8.05539H18.4044L18.4141 8.10873C18.4928 8.49654 20.3407 22.3903 20.3751 22.8217ZM7.85255 6.58652V6.03387C7.85255 5.6606 7.90169 5.14672 7.95575 4.90919C8.24572 3.69724 9.23357 2.71314 10.4671 2.39804C10.9832 2.27199 11.8285 2.31563 12.3446 2.49984H12.3495C12.8901 2.67921 13.3324 2.97008 13.7404 3.41607C14.3989 4.12385 14.6201 4.75891 14.6201 5.93207V6.58652H7.85255Z" fill="black"/>
+</svg></span>
+
+        <span class="visually-hidden">Cart</span></a>
+    </div>
+ <!---header-icon-->
+
+ </header>
+        <div class="bottom-header">
+    <!--menu-->
+
+<nav class="header__inline-menu page-width">
+  <ul class="list-menu list-menu--inline" role="list"><li><a
+            id="HeaderMenu-shop-products"
+            href="/collections"
+            class="header__menu-item list-menu__item link link--text focus-inset"
+
+          >
+            <span
+            >Shop Products</span>
+          </a></li><li><a
+            id="HeaderMenu-magnesium"
+            href="/pages/magnesium"
+            class="header__menu-item list-menu__item link link--text focus-inset"
+
+          >
+            <span
+            >Magnesium </span>
+          </a></li><li><header-menu>
+            <details id="Details-HeaderMenu-3">
+              <summary
+                id="HeaderMenu-about-heylo"
+                class="header__menu-item list-menu__item link focus-inset"
+              >
+                  <a
+                  id="HeaderMenu-about-heylo"
+                  class="list-menu__item link--text focus-inset"
+                  href="#" style="text-decoration:none;"
+                >
+                  <span
+                  >About Heylo</span>
+                </a><svg class="icon icon-caret" viewBox="0 0 10 6"><path fill="currentColor" fill-rule="evenodd" d="M9.354.646a.5.5 0 0 0-.708 0L5 4.293 1.354.646a.5.5 0 0 0-.708.708l4 4a.5.5 0 0 0 .708 0l4-4a.5.5 0 0 0 0-.708" clip-rule="evenodd"/></svg>
+</summary>
+              <ul
+                id="HeaderMenu-MenuList-3"
+                class="header__submenu list-menu list-menu--disclosure color-scheme-1 gradient caption-large motion-reduce global-settings-popup"
+                role="list"
+                tabindex="-1"
+              ><li><a
+                        id="HeaderMenu-about-heylo-our-story-vision"
+                        href="/pages/about-us"
+                        class="header__menu-item list-menu__item link link--text focus-inset caption-large"
+
+                      >
+                        Our Story &amp; Vision
+                      </a></li><li><a
+                        id="HeaderMenu-about-heylo-heylo-blog"
+                        href="/blogs/news"
+                        class="header__menu-item list-menu__item link link--text focus-inset caption-large"
+
+                      >
+                        Heylo Blog
+                      </a></li></ul>
+            </details>
+          </header-menu></li><li><header-menu>
+            <details id="Details-HeaderMenu-4">
+              <summary
+                id="HeaderMenu-contact-us"
+                class="header__menu-item list-menu__item link focus-inset"
+              >
+                  <a
+                  id="HeaderMenu-contact-us"
+                  class="list-menu__item link--text focus-inset"
+                  href="/pages/contact" style="text-decoration:none;"
+                >
+                  <span
+                  >Contact Us</span>
+                </a><svg class="icon icon-caret" viewBox="0 0 10 6"><path fill="currentColor" fill-rule="evenodd" d="M9.354.646a.5.5 0 0 0-.708 0L5 4.293 1.354.646a.5.5 0 0 0-.708.708l4 4a.5.5 0 0 0 .708 0l4-4a.5.5 0 0 0 0-.708" clip-rule="evenodd"/></svg>
+</summary>
+              <ul
+                id="HeaderMenu-MenuList-4"
+                class="header__submenu list-menu list-menu--disclosure color-scheme-1 gradient caption-large motion-reduce global-settings-popup"
+                role="list"
+                tabindex="-1"
+              ><li><a
+                        id="HeaderMenu-contact-us-contact-us"
+                        href="/pages/contact"
+                        class="header__menu-item list-menu__item link link--text focus-inset caption-large"
+
+                      >
+                        Contact US
+                      </a></li><li><a
+                        id="HeaderMenu-contact-us-faq"
+                        href="/pages/faq"
+                        class="header__menu-item list-menu__item link link--text focus-inset caption-large"
+
+                      >
+                        FAQ
+                      </a></li><li><a
+                        id="HeaderMenu-contact-us-wholesale"
+                        href="/pages/contact"
+                        class="header__menu-item list-menu__item link link--text focus-inset caption-large"
+
+                      >
+                        Wholesale
+                      </a></li><li><a
+                        id="HeaderMenu-contact-us-stockists"
+                        href="/pages/stockist"
+                        class="header__menu-item list-menu__item link link--text focus-inset caption-large"
+
+                      >
+                        Stockists
+                      </a></li></ul>
+            </details>
+          </header-menu></li></ul>
+</nav>
+
+    <!---menu-->
+    </div>
+</sticky-header>
+
+<script type="application/ld+json">
+  {
+    "@context": "http://schema.org",
+    "@type": "Organization",
+    "name": "Heylo MG",
+
+      "logo": "https:\/\/heylomg.au\/cdn\/shop\/files\/Logo_Dark_Blue_1.png?v=1728980282\u0026width=500",
+
+    "sameAs": [
+      "",
+      "#",
+      "",
+      "https:\/\/www.instagram.com\/heylomg.au",
+      "#",
+      "",
+      "",
+      "",
+      ""
+    ],
+    "url": "https:\/\/heylomg.au\/pages\/main-faqs"
+  }
+</script>
+</div><section id="shopify-section-sections--24168376598817__1731903922eba521f2" class="shopify-section shopify-section-group-header-group section"><div class="page-width scroll-trigger animate--slide-in"></div>
+
+
+</section>
+<!-- END sections: header-group -->
+
+    <main id="MainContent" class="content-for-layout focus-none" role="main" tabindex="-1">
+      <div id="shopify-section-template--24168376369441__breadcrumb_section_fjkFeG" class="shopify-section breadcrumbs"><!---breadcrumb----->
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+    <div class="page-width gradient color-scheme-1">
+      <nav aria-label="Breadcrumb" class="breadcrumbs ">
+        <ol class="breadcrumbs__list">
+       <li class="breadcrumbs__item"><a class="breadcrumbs__link" href="/">Home</a></li>
+
+
+
+
+
+
+
+
+            <li class="breadcrumbs__item" aria-current="page">FAQs</li>
+
+        </ol>
+      </nav>
+
+    </div>
+
+
+<!---breadcrumb---->
+
+
+
+
+
+</div><section id="shopify-section-template--24168376369441__main" class="shopify-section section default_main_page"><link href="//heylomg.au/cdn/shop/t/18/assets/section-main-page.aio.min.css?v=89367290219304079651737518350" rel="stylesheet" type="text/css" media="all" />
+<style data-shopify>.section-template--24168376369441__main-padding {
+    padding-top: 21px;
+    padding-bottom: 21px;
+  }
+
+  @media screen and (min-width: 750px) {
+    .section-template--24168376369441__main-padding {
+      padding-top: 28px;
+      padding-bottom: 28px;
+    }
+  }</style><div class="page-width page-width--narrow section-template--24168376369441__main-padding">
+  <h1 class="main-page-title page-title h0 scroll-trigger animate--fade-in">
+    FAQs
+  </h1>
+  <div class="rte scroll-trigger animate--slide-in">
+    <div id="ddshopfaq-wrapper"></div>
+  </div>
+</div>
+
+
+</section>
+    </main>
+
+    <!-- BEGIN sections: footer-group -->
+<div id="shopify-section-sections--24168376566049__footer" class="shopify-section shopify-section-group-footer-group footer-new">
+<link href="//heylomg.au/cdn/shop/t/18/assets/section-footer.aio.min.css?v=78182012499338433211737518347" rel="stylesheet" type="text/css" media="all" />
+<link href="//heylomg.au/cdn/shop/t/18/assets/component-newsletter.aio.min.css?v=90829652569603473581737518259" rel="stylesheet" type="text/css" media="all" />
+<link href="//heylomg.au/cdn/shop/t/18/assets/component-list-menu.aio.min.css?v=27952074149928535711737518251" rel="stylesheet" type="text/css" media="all" />
+<link href="//heylomg.au/cdn/shop/t/18/assets/component-list-payment.aio.min.css?v=38495580004007331361737518252" rel="stylesheet" type="text/css" media="all" />
+<link href="//heylomg.au/cdn/shop/t/18/assets/component-list-social.aio.min.css?v=84891054821896657041737518253" rel="stylesheet" type="text/css" media="all" />
+<style data-shopify>.footer {
+    margin-top: 0px;
+  }
+
+  .section-sections--24168376566049__footer-padding {
+    padding-top: 0px;
+    padding-bottom: 0px;
+  }
+
+  @media screen and (min-width: 750px) {
+    .footer {
+      margin-top: 0px;
+    }
+
+    .section-sections--24168376566049__footer-padding {
+      padding-top: 0px;
+      padding-bottom: 0px;
+    }
+  }</style><footer class="footer color-scheme-1 gradient section-sections--24168376566049__footer-padding"><div class="footer__content-top page-width"><div class="foter-header">
+            <img src="//heylomg.au/cdn/shop/files/Logo_Dark_Blue_1_b645462e-c6ff-4858-aa63-0a17cc1c8d3c.png?v=1731658301" height="" width="">
+          </div>
+
+          <div
+            class="footer__blocks-wrapper grid grid--1-col grid--2-col grid--4-col-tablet  scroll-trigger animate--slide-in"
+
+              data-cascade
+
+          ><div
+                class="footer-block grid__item footer-block--menu scroll-trigger animate--slide-in"
+
+
+                  data-cascade
+                  style="--animation-order: 1;"
+
+              ><h2 class="footer-block__heading inline-richtext">Quick links</h2><ul class="footer-block__details-content list-unstyled"><li>
+                            <a
+                              href="/pages/about-us"
+                              class="link link--text list-menu__item list-menu__item--link"
+                            >
+                              Our Story
+                            </a>
+                          </li><li>
+                            <a
+                              href="/pages/contact"
+                              class="link link--text list-menu__item list-menu__item--link"
+                            >
+                              Wholesale Enquiry
+                            </a>
+                          </li><li>
+                            <a
+                              href="/pages/contact"
+                              class="link link--text list-menu__item list-menu__item--link"
+                            >
+                              Contact Us
+                            </a>
+                          </li><li>
+                            <a
+                              href="https://heylomg.au/apps/frequently-asked-questions"
+                              class="link link--text list-menu__item list-menu__item--link"
+                            >
+                              FAQ
+                            </a>
+                          </li><li>
+                            <a
+                              href="/collections/sparkling-water"
+                              class="link link--text list-menu__item list-menu__item--link"
+                            >
+                              Magnesium Sparkling Water
+                            </a>
+                          </li><li>
+                            <a
+                              href="/collections/magnesium-supplements"
+                              class="link link--text list-menu__item list-menu__item--link"
+                            >
+                              Magnesium Supplements
+                            </a>
+                          </li></ul></div><div
+                class="footer-block grid__item footer-block--menu scroll-trigger animate--slide-in"
+
+
+                  data-cascade
+                  style="--animation-order: 2;"
+
+              ><h2 class="footer-block__heading inline-richtext">Customer Care</h2><ul class="footer-block__details-content list-unstyled"><li>
+                            <a
+                              href="/pages/privacy-policy"
+                              class="link link--text list-menu__item list-menu__item--link"
+                            >
+                              Privacy Policy
+                            </a>
+                          </li><li>
+                            <a
+                              href="/pages/heylo-delivery-and-shipping-information"
+                              class="link link--text list-menu__item list-menu__item--link"
+                            >
+                              Shipping &amp; Delivery Info
+                            </a>
+                          </li><li>
+                            <a
+                              href="/pages/return-policy"
+                              class="link link--text list-menu__item list-menu__item--link"
+                            >
+                              Return Policy
+                            </a>
+                          </li><li>
+                            <a
+                              href="/pages/terms-of-service"
+                              class="link link--text list-menu__item list-menu__item--link"
+                            >
+                              Terms of service
+                            </a>
+                          </li></ul></div><div
+                class="footer-block grid__item scroll-trigger animate--slide-in"
+
+
+                  data-cascade
+                  style="--animation-order: 3;"
+
+              ><h2 class="footer-block__heading inline-richtext">Contact Us</h2><div class="footer-block__details-content rte">
+                      <p>Introducing Heylo Mg – Inspiring Your Mind and Body. Our brand is meticulously crafted with a focus on mental well-being, and at the core of our collection lies the amazing benefits of Magnesium.</p>
+                      <div class="custom-footer-social">
+                        <div class="custom-footer-social-top">
+                          <a href="mailto:hello@heylomg.au">
+                            <span>
+                              <svg
+                                width="20"
+                                height="16"
+                                viewBox="0 0 20 16"
+                                fill="none"
+                                xmlns="http://www.w3.org/2000/svg"
+                              >
+                                <path d="M15.7288 0.895752H4.27051C2.75172 0.895752 1.52051 2.12697 1.52051 3.64575V12.3541C1.52051 13.8729 2.75172 15.1041 4.27051 15.1041H15.7288C17.2476 15.1041 18.4788 13.8729 18.4788 12.3541V3.64575C18.4788 2.12697 17.2476 0.895752 15.7288 0.895752Z" stroke="white" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round"/>
+                                <path d="M1.52051 4.33325L9.23426 7.87709C9.47435 7.9874 9.73545 8.04451 9.99967 8.04451C10.2639 8.04451 10.525 7.9874 10.7651 7.87709L18.4788 4.33325" stroke="white" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round"/>
+                              </svg>
+                            </span>
+                            hello@heylomg.au
+                          </a>
+                        </div>
+                        <div class="custom-footer-social-bottom">
+
+<ul class="list-unstyled list-social footer__list-social" role="list"><li class="list-social__item">
+      <a href="#" class="link list-social__link">
+        <span class="svg-wrapper"><svg class="icon icon-facebook" viewBox="0 0 20 20"><path fill="currentColor" d="M18 10.049C18 5.603 14.419 2 10 2s-8 3.603-8 8.049C2 14.067 4.925 17.396 8.75 18v-5.624H6.719v-2.328h2.03V8.275c0-2.017 1.195-3.132 3.023-3.132.874 0 1.79.158 1.79.158v1.98h-1.009c-.994 0-1.303.621-1.303 1.258v1.51h2.219l-.355 2.326H11.25V18c3.825-.604 6.75-3.933 6.75-7.951"/></svg>
+</span>
+        <span class="visually-hidden">Facebook</span>
+      </a>
+    </li><li class="list-social__item">
+      <a href="https://www.instagram.com/heylomg.au" class="link list-social__link">
+        <span class="svg-wrapper"><svg class="icon icon-instagram" viewBox="0 0 20 20"><path fill="currentColor" fill-rule="evenodd" d="M13.23 3.492c-.84-.037-1.096-.046-3.23-.046-2.144 0-2.39.01-3.238.055-.776.027-1.195.164-1.487.273a2.4 2.4 0 0 0-.912.593 2.5 2.5 0 0 0-.602.922c-.11.282-.238.702-.274 1.486-.046.84-.046 1.095-.046 3.23s.01 2.39.046 3.229c.004.51.097 1.016.274 1.495.145.365.319.639.602.913.282.282.538.456.92.602.474.176.974.268 1.479.273.848.046 1.103.046 3.238.046s2.39-.01 3.23-.046c.784-.036 1.203-.164 1.486-.273.374-.146.648-.329.921-.602.283-.283.447-.548.602-.922.177-.476.27-.979.274-1.486.037-.84.046-1.095.046-3.23s-.01-2.39-.055-3.229c-.027-.784-.164-1.204-.274-1.495a2.4 2.4 0 0 0-.593-.913 2.6 2.6 0 0 0-.92-.602c-.284-.11-.703-.237-1.488-.273ZM6.697 2.05c.857-.036 1.131-.045 3.302-.045a63 63 0 0 1 3.302.045c.664.014 1.321.14 1.943.374a4 4 0 0 1 1.414.922c.41.397.728.88.93 1.414.23.622.354 1.279.365 1.942C18 7.56 18 7.824 18 10.005c0 2.17-.01 2.444-.046 3.292-.036.858-.173 1.442-.374 1.943-.2.53-.474.976-.92 1.423a3.9 3.9 0 0 1-1.415.922c-.51.191-1.095.337-1.943.374-.857.036-1.122.045-3.302.045-2.171 0-2.445-.009-3.302-.055-.849-.027-1.432-.164-1.943-.364a4.15 4.15 0 0 1-1.414-.922 4.1 4.1 0 0 1-.93-1.423c-.183-.51-.329-1.085-.365-1.943C2.009 12.45 2 12.167 2 10.004c0-2.161 0-2.435.055-3.302.027-.848.164-1.432.365-1.942a4.4 4.4 0 0 1 .92-1.414 4.2 4.2 0 0 1 1.415-.93c.51-.183 1.094-.33 1.943-.366Zm.427 4.806a4.105 4.105 0 1 1 5.805 5.805 4.105 4.105 0 0 1-5.805-5.805m1.882 5.371a2.668 2.668 0 1 0 2.042-4.93 2.668 2.668 0 0 0-2.042 4.93m5.922-5.942a.958.958 0 1 1-1.355-1.355.958.958 0 0 1 1.355 1.355" clip-rule="evenodd"/></svg>
+</span>
+        <span class="visually-hidden">Instagram</span>
+      </a>
+    </li><li class="list-social__item">
+      <a href="#" class="link list-social__link">
+        <span class="svg-wrapper"><svg class="icon icon-tiktok" viewBox="0 0 20 20"><path fill="currentColor" d="M10.511 1.705h2.74s-.157 3.51 3.795 3.768v2.711s-2.114.129-3.796-1.158l.028 5.606A5.073 5.073 0 1 1 8.213 7.56h.708v2.785a2.298 2.298 0 1 0 1.618 2.205z"/></svg>
+</span>
+        <span class="visually-hidden">TikTok</span>
+      </a>
+    </li></ul>
+</div>
+                      </div>
+                    </div></div></div><div
+          class="footer-block--newsletter scroll-trigger animate--slide-in"
+
+            data-cascade
+
+        ></div>
+      </div><div
+    class="footer__content-bottom scroll-trigger animate--slide-in"
+
+      data-cascade
+
+  >
+    <div class="footer__content-bottom-wrapper page-width">
+      <div class="footer__column footer__localization isolate"></div>
+    </div>
+    <div class="footer__content-bottom-wrapper page-width footer__content-bottom-wrapper--center">
+      <div class="footer__copyright caption">
+        <small class="copyright__content"
+          >&copy; 2025, <a href="/" title="">Heylo MG</a></small>
+
+</div>
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+      <div class="footer__column footer__column--info"><div class="footer__payment">
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+
+                </li><li class="list-payment__item">
+                  <svg class="icon icon--full-color" viewBox="-36 25 38 24" xmlns="http://www.w3.org/2000/svg" width="38" height="24" role="img" aria-labelledby="pi-unionpay"><title id="pi-unionpay">Union Pay</title><path fill="#005B9A" d="M-36 46.8v.7-.7zM-18.3 25v24h-7.2c-1.3 0-2.1-1-1.8-2.3l4.4-19.4c.3-1.3 1.9-2.3 3.2-2.3h1.4zm12.6 0c-1.3 0-2.9 1-3.2 2.3l-4.5 19.4c-.3 1.3.5 2.3 1.8 2.3h-4.9V25h10.8z"/><path fill="#E9292D" d="M-19.7 25c-1.3 0-2.9 1.1-3.2 2.3l-4.4 19.4c-.3 1.3.5 2.3 1.8 2.3h-8.9c-.8 0-1.5-.6-1.5-1.4v-21c0-.8.7-1.6 1.5-1.6h14.7z"/><path fill="#0E73B9" d="M-5.7 25c-1.3 0-2.9 1.1-3.2 2.3l-4.4 19.4c-.3 1.3.5 2.3 1.8 2.3H-26h.5c-1.3 0-2.1-1-1.8-2.3l4.4-19.4c.3-1.3 1.9-2.3 3.2-2.3h14z"/><path fill="#059DA4" d="M2 26.6v21c0 .8-.6 1.4-1.5 1.4h-12.1c-1.3 0-2.1-1.1-1.8-2.3l4.5-19.4C-8.6 26-7 25-5.7 25H.5c.9 0 1.5.7 1.5 1.6z"/><path fill="#fff" d="M-21.122 38.645h.14c.14 0 .28-.07.28-.14l.42-.63h1.19l-.21.35h1.4l-.21.63h-1.68c-.21.28-.42.42-.7.42h-.84l.21-.63m-.21.91h3.01l-.21.7h-1.19l-.21.7h1.19l-.21.7h-1.19l-.28 1.05c-.07.14 0 .28.28.21h.98l-.21.7h-1.89c-.35 0-.49-.21-.35-.63l.35-1.33h-.77l.21-.7h.77l.21-.7h-.7l.21-.7zm4.83-1.75v.42s.56-.42 1.12-.42h1.96l-.77 2.66c-.07.28-.35.49-.77.49h-2.24l-.49 1.89c0 .07 0 .14.14.14h.42l-.14.56h-1.12c-.42 0-.56-.14-.49-.35l1.47-5.39h.91zm1.68.77h-1.75l-.21.7s.28-.21.77-.21h1.05l.14-.49zm-.63 1.68c.14 0 .21 0 .21-.14l.14-.35h-1.75l-.14.56 1.54-.07zm-1.19.84h.98v.42h.28c.14 0 .21-.07.21-.14l.07-.28h.84l-.14.49c-.07.35-.35.49-.77.56h-.56v.77c0 .14.07.21.35.21h.49l-.14.56h-1.19c-.35 0-.49-.14-.49-.49l.07-2.1zm4.2-2.45l.21-.84h1.19l-.07.28s.56-.28 1.05-.28h1.47l-.21.84h-.21l-1.12 3.85h.21l-.21.77h-.21l-.07.35h-1.19l.07-.35h-2.17l.21-.77h.21l1.12-3.85h-.28m1.26 0l-.28 1.05s.49-.21.91-.28c.07-.35.21-.77.21-.77h-.84zm-.49 1.54l-.28 1.12s.56-.28.98-.28c.14-.42.21-.77.21-.77l-.91-.07zm.21 2.31l.21-.77h-.84l-.21.77h.84zm2.87-4.69h1.12l.07.42c0 .07.07.14.21.14h.21l-.21.7h-.77c-.28 0-.49-.07-.49-.35l-.14-.91zm-.35 1.47h3.57l-.21.77h-1.19l-.21.7h1.12l-.21.77h-1.26l-.28.42h.63l.14.84c0 .07.07.14.21.14h.21l-.21.7h-.7c-.35 0-.56-.07-.56-.35l-.14-.77-.56.84c-.14.21-.35.35-.63.35h-1.05l.21-.7h.35c.14 0 .21-.07.35-.21l.84-1.26h-1.05l.21-.77h1.19l.21-.7h-1.19l.21-.77zm-19.74-5.04c-.14.7-.42 1.19-.91 1.54-.49.35-1.12.56-1.89.56-.7 0-1.26-.21-1.54-.56-.21-.28-.35-.56-.35-.98 0-.14 0-.35.07-.56l.84-3.92h1.19l-.77 3.92v.28c0 .21.07.35.14.49.14.21.35.28.7.28s.7-.07.91-.28c.21-.21.42-.42.49-.77l.77-3.92h1.19l-.84 3.92m1.12-1.54h.84l-.07.49.14-.14c.28-.28.63-.42 1.05-.42.35 0 .63.14.77.35.14.21.21.49.14.91l-.49 2.38h-.91l.42-2.17c.07-.28.07-.49 0-.56-.07-.14-.21-.14-.35-.14-.21 0-.42.07-.56.21-.14.14-.28.35-.28.63l-.42 2.03h-.91l.63-3.57m9.8 0h.84l-.07.49.14-.14c.28-.28.63-.42 1.05-.42.35 0 .63.14.77.35s.21.49.14.91l-.49 2.38h-.91l.42-2.24c.07-.21 0-.42-.07-.49-.07-.14-.21-.14-.35-.14-.21 0-.42.07-.56.21-.14.14-.28.35-.28.63l-.42 2.03h-.91l.7-3.57m-5.81 0h.98l-.77 3.5h-.98l.77-3.5m.35-1.33h.98l-.21.84h-.98l.21-.84zm1.4 4.55c-.21-.21-.35-.56-.35-.98v-.21c0-.07 0-.21.07-.28.14-.56.35-1.05.7-1.33.35-.35.84-.49 1.33-.49.42 0 .77.14 1.05.35.21.21.35.56.35.98v.21c0 .07 0 .21-.07.28-.14.56-.35.98-.7 1.33-.35.35-.84.49-1.33.49-.35 0-.7-.14-1.05-.35m1.89-.7c.14-.21.28-.49.35-.84v-.35c0-.21-.07-.35-.14-.49a.635.635 0 0 0-.49-.21c-.28 0-.49.07-.63.28-.14.21-.28.49-.35.84v.28c0 .21.07.35.14.49.14.14.28.21.49.21.28.07.42 0 .63-.21m6.51-4.69h2.52c.49 0 .84.14 1.12.35.28.21.35.56.35.91v.28c0 .07 0 .21-.07.28-.07.49-.35.98-.7 1.26-.42.35-.84.49-1.4.49h-1.4l-.42 2.03h-1.19l1.19-5.6m.56 2.59h1.12c.28 0 .49-.07.7-.21.14-.14.28-.35.35-.63v-.28c0-.21-.07-.35-.21-.42-.14-.07-.35-.14-.7-.14h-.91l-.35 1.68zm8.68 3.71c-.35.77-.7 1.26-.91 1.47-.21.21-.63.7-1.61.7l.07-.63c.84-.28 1.26-1.4 1.54-1.96l-.28-3.78h1.19l.07 2.38.91-2.31h1.05l-2.03 4.13m-2.94-3.85l-.42.28c-.42-.35-.84-.56-1.54-.21-.98.49-1.89 4.13.91 2.94l.14.21h1.12l.7-3.29-.91.07m-.56 1.82c-.21.56-.56.84-.91.77-.28-.14-.35-.63-.21-1.19.21-.56.56-.84.91-.77.28.14.35.63.21 1.19"/></svg>
+                </li><li class="list-payment__item">
+                  <svg class="icon icon--full-color" viewBox="0 0 38 24" xmlns="http://www.w3.org/2000/svg" role="img" width="38" height="24" aria-labelledby="pi-visa"><title id="pi-visa">Visa</title><path opacity=".07" d="M35 0H3C1.3 0 0 1.3 0 3v18c0 1.7 1.4 3 3 3h32c1.7 0 3-1.3 3-3V3c0-1.7-1.4-3-3-3z"/><path fill="#fff" d="M35 1c1.1 0 2 .9 2 2v18c0 1.1-.9 2-2 2H3c-1.1 0-2-.9-2-2V3c0-1.1.9-2 2-2h32"/><path d="M28.3 10.1H28c-.4 1-.7 1.5-1 3h1.9c-.3-1.5-.3-2.2-.6-3zm2.9 5.9h-1.7c-.1 0-.1 0-.2-.1l-.2-.9-.1-.2h-2.4c-.1 0-.2 0-.2.2l-.3.9c0 .1-.1.1-.1.1h-2.1l.2-.5L27 8.7c0-.5.3-.7.8-.7h1.5c.1 0 .2 0 .2.2l1.4 6.5c.1.4.2.7.2 1.1.1.1.1.1.1.2zm-13.4-.3l.4-1.8c.1 0 .2.1.2.1.7.3 1.4.5 2.1.4.2 0 .5-.1.7-.2.5-.2.5-.7.1-1.1-.2-.2-.5-.3-.8-.5-.4-.2-.8-.4-1.1-.7-1.2-1-.8-2.4-.1-3.1.6-.4.9-.8 1.7-.8 1.2 0 2.5 0 3.1.2h.1c-.1.6-.2 1.1-.4 1.7-.5-.2-1-.4-1.5-.4-.3 0-.6 0-.9.1-.2 0-.3.1-.4.2-.2.2-.2.5 0 .7l.5.4c.4.2.8.4 1.1.6.5.3 1 .8 1.1 1.4.2.9-.1 1.7-.9 2.3-.5.4-.7.6-1.4.6-1.4 0-2.5.1-3.4-.2-.1.2-.1.2-.2.1zm-3.5.3c.1-.7.1-.7.2-1 .5-2.2 1-4.5 1.4-6.7.1-.2.1-.3.3-.3H18c-.2 1.2-.4 2.1-.7 3.2-.3 1.5-.6 3-1 4.5 0 .2-.1.2-.3.2M5 8.2c0-.1.2-.2.3-.2h3.4c.5 0 .9.3 1 .8l.9 4.4c0 .1 0 .1.1.2 0-.1.1-.1.1-.1l2.1-5.1c-.1-.1 0-.2.1-.2h2.1c0 .1 0 .1-.1.2l-3.1 7.3c-.1.2-.1.3-.2.4-.1.1-.3 0-.5 0H9.7c-.1 0-.2 0-.2-.2L7.9 9.5c-.2-.2-.5-.5-.9-.6-.6-.3-1.7-.5-1.9-.5L5 8.2z" fill="#142688"/></svg>
+                </li></ul>
+          </div></div>
+    </div>
+  </div>
+</footer>
+
+
+</div><section id="shopify-section-sections--24168376566049__17313718825de1b794" class="shopify-section shopify-section-group-footer-group section"><div class="page-width scroll-trigger animate--slide-in"></div>
+
+
+</section><section id="shopify-section-sections--24168376566049__17313725328437c338" class="shopify-section shopify-section-group-footer-group section"><div class="page-width scroll-trigger animate--slide-in"></div>
+
+
+</section>
+<!-- END sections: footer-group -->
+
+    <ul hidden>
+      <li id="a11y-refresh-page-message">Choosing a selection results in a full page refresh.</li>
+      <li id="a11y-new-window-message">Opens in a new window.</li>
+    </ul>
+
+    <script>
+      window.shopUrl = 'https://heylomg.au';
+      window.routes = {
+        cart_add_url: '/cart/add',
+        cart_change_url: '/cart/change',
+        cart_update_url: '/cart/update',
+        cart_url: '/cart',
+        predictive_search_url: '/search/suggest',
+      };
+
+      window.cartStrings = {
+        error: `There was an error while updating your cart. Please try again.`,
+        quantityError: `You can only add [quantity] of this item to your cart.`,
+      };
+
+      window.variantStrings = {
+        addToCart: `Add to cart`,
+        soldOut: `Sold out`,
+        unavailable: `Unavailable`,
+        unavailable_with_option: `[value] - Unavailable`,
+      };
+
+      window.quickOrderListStrings = {
+        itemsAdded: `[quantity] items added`,
+        itemAdded: `[quantity] item added`,
+        itemsRemoved: `[quantity] items removed`,
+        itemRemoved: `[quantity] item removed`,
+        viewCart: `View cart`,
+        each: `[money]/ea`,
+        min_error: `This item has a minimum of [min]`,
+        max_error: `This item has a maximum of [max]`,
+        step_error: `You can only add this item in increments of [step]`,
+      };
+
+      window.accessibilityStrings = {
+        imageAvailable: `Image [index] is now available in gallery view`,
+        shareSuccess: `Link copied to clipboard`,
+        pauseSlideshow: `Pause slideshow`,
+        playSlideshow: `Play slideshow`,
+        recipientFormExpanded: `Gift card recipient form expanded`,
+        recipientFormCollapsed: `Gift card recipient form collapsed`,
+        countrySelectorSearchCount: `[count] countries/regions found`,
+      };
+    </script>
+
+
+    <script>
+
+
+document.querySelectorAll('.accordion-title').forEach((accordion) => {
+  accordion.addEventListener('click', function () {
+    // Toggle the accordion content visibility
+    const content = this.nextElementSibling;
+    const toggleIcon = this.querySelector('.toggle-icon');
+
+    // Open or close the accordion
+    if (content.style.display === 'block') {
+      content.style.display = 'none';
+      toggleIcon.textContent = '+';  // Change icon to "+"
+    } else {
+      content.style.display = 'block';
+      toggleIcon.textContent = '-';  // Change icon to "-"
+    }
+
+    // Optionally, you can add an active class to change the title styling when opened
+    this.classList.toggle('active');
+  });
+});
+    </script>
+
+
+
+ <script>
+document.querySelector('.quick-add__submit').addEventListener('click', function () {
+  function checkContent(modalId) {
+    const contentInfo = document.querySelector(`#QuickAddInfo-${modalId}`);
+    if (contentInfo && contentInfo.innerHTML.trim() !== '') {
+      setTimeout(function () {
+        document.querySelectorAll(`#QuickAdd-${modalId} .accordion-title`).forEach((accordion) => {
+          accordion.addEventListener('click', function () {
+            const content = this.nextElementSibling;
+            const toggleIcon = this.querySelector('.toggle-icon');
+
+            if (content.style.display === 'block') {
+              content.style.display = 'none';
+              toggleIcon.textContent = '+';
+            } else {
+              content.style.display = 'block';
+              toggleIcon.textContent = '-';
+            }
+            this.classList.toggle('active');
+          });
+        });
+      }, 1000);
+    } else {
+      setTimeout(() => checkContent(modalId), 1000);
+    }
+  }
+
+  const modals = document.querySelectorAll('.quick-add-modal');
+  modals.forEach(modal => {
+    const modalId = modal.getAttribute('id').split('-')[1];
+    checkContent(modalId);
+  });
+});
+
+
+</script>
+
+
+
+
+
+<!---script to move one div to the bottom of 2nd div--->
+    <script>
+$(document).ready(function() {
+    var checkExist = setInterval(function() {
+        if ($('#ab-dynamic-pricing-bundle-product-page').length) {
+            clearInterval(checkExist);
+            var clonedElement = $('#shopify-block-appstle_bundles_appstle_bundle_product_page_build_a_box_WgnTTb').detach();
+            clonedElement.show();
+            $('#MediaGallery-template--23625828040993__main').append(clonedElement);
+            console.log("Element cloned and prepended successfully.");
+        } else {
+            console.log("Waiting for #shopify-block-appstle_bundles_appstle_bundle_product_page_build_a_box_WgnTTb to appear...");
+        }
+    }, 100);
+});
+    </script>
+<!---script to move one div to the bottom of 2nd div--->
+
+
+
+<!-- <script>
+document.addEventListener("DOMContentLoaded", function() {
+  // Select the variant dropdown and the free shipping tag
+  const variantSelect = document.querySelector('select[name="id"]');
+  const freeShippingTag = document.getElementById('free-shipping-tag');
+
+  // Function to check the selected variant
+  function checkSelectedVariant() {
+    const selectedVariantId = variantSelect.value;
+    const selectedVariant = product.variants.find(variant => variant.id == selectedVariantId);
+
+    if (selectedVariant && selectedVariant.title === "330ml x 24 Pack") {
+      freeShippingTag.style.display = "block";  // Show the tag
+    } else {
+      freeShippingTag.style.display = "none";  // Hide the tag
+    }
+  }
+
+  // Run the check when the variant is changed
+  if (variantSelect) {
+    variantSelect.addEventListener('change', checkSelectedVariant);
+    checkSelectedVariant();  // Initial check
+  }
+});
+
+
+</script> --><script src="//heylomg.au/cdn/shop/t/18/assets/predictive-search.js?v=57209189334897115771737518330" defer="defer"></script><div id="shopify-block-AYzlOTmRyakFvcEJNN__10508887350528622030" class="shopify-block shopify-app-block">
+
+
+
+
+
+
+
+
+
+
+<script>
+
+    var _ABConfig = _ABConfig || {};
+
+    _ABConfig = {
+        'shop_name': '',
+        'public_domain': null,
+        'proxy_path_prefix': 'apps/bundles',
+        'widgetJsPath': 'https://bundles-admin.appstle.com/app/loyalty-widget.bundle.js?v=1729669550105',
+        'widgetCssPath': 'https://bundles-admin.appstle.com/content/loyalty-widget.css?v=1729669550105',
+        'bundle_rules': [],
+        'bundleRule': null,
+        'product': null,
+        'bundle_setting': null,
+        'isProductPage': false
+    };
+
+
+    _ABConfig.shop_name = "Heylo MG";
+
+
+
+    _ABConfig.proxy_path_prefix = "apps/bundles";
+
+
+
+    _ABConfig.currency = "AUD";
+
+
+
+    _ABConfig.storeFrontAccessToken = "c4031733a1222b3a95aee8f3e4fdd957";
+
+
+
+    _ABConfig.public_domain = "heylomg.au";
+
+
+
+    _ABConfig.widgetJsPath = "https://bundles-admin.appstle.com/app/loyalty-widget.bundle.js?v=1729669550105";
+
+
+
+    _ABConfig.widgetCssPath = "https://bundles-admin.appstle.com/content/loyalty-widget.css?v=1729669550105";
+
+
+
+    _ABConfig.bundle_rules = [{"id":3376,"shop":"heylo-australia.myshopify.com","name":"Bundle with other products and save...","description":null,"status":"ACTIVE","customerIncludeTags":null,"discountType":"PERCENTAGE","discountValue":5.0,"products":"null","variants":"[{\"productId\":9488595616033,\"variantId\":49649920639265,\"name\":\"Magnesium Sampler Bundle - Samples Pack (3 of each flavour)\",\"productHandle\":\"magnesium-sampler-bundle\",\"imageSrc\":\"https://cdn.shopify.com/s/files/1/0769/6714/9857/files/Instagram_Posts_lemon.png?v=1719091995\",\"quantity\":1,\"price\":\"30.00\",\"status\":\"ACTIVE\",\"productTitle\":\"Magnesium Sampler Bundle\",\"variantTitle\":\"Samples Pack (3 of each flavour)\",\"isMandatory\":false},{\"productId\":8318071275809,\"variantId\":50480621388065,\"name\":\"Magnesium Sparkling Water - Calm - Lemon - 1 can\",\"productHandle\":\"calm\",\"imageSrc\":\"https://cdn.shopify.com/s/files/1/0769/6714/9857/files/3_5257d05b-57d4-4728-b6e1-1cf1a918bbe3.png?v=1715463885\",\"quantity\":1,\"price\":\"4.50\",\"status\":\"ACTIVE\",\"productTitle\":\"Magnesium Sparkling Water - Calm - Lemon\",\"variantTitle\":\"1 can\",\"isMandatory\":false},{\"productId\":8318071275809,\"variantId\":45382770262305,\"name\":\"Magnesium Sparkling Water - Calm - Lemon - 24 Pack\",\"productHandle\":\"calm\",\"imageSrc\":\"https://cdn.shopify.com/s/files/1/0769/6714/9857/files/3_5257d05b-57d4-4728-b6e1-1cf1a918bbe3.png?v=1715463885\",\"quantity\":1,\"price\":\"79.00\",\"status\":\"ACTIVE\",\"productTitle\":\"Magnesium Sparkling Water - Calm - Lemon\",\"variantTitle\":\"24 Pack\",\"isMandatory\":false},{\"productId\":8318071275809,\"variantId\":45382770229537,\"name\":\"Magnesium Sparkling Water - Calm - Lemon - 6 Pack\",\"productHandle\":\"calm\",\"imageSrc\":\"https://cdn.shopify.com/s/files/1/0769/6714/9857/files/3_5257d05b-57d4-4728-b6e1-1cf1a918bbe3.png?v=1715463885\",\"quantity\":1,\"price\":\"25.00\",\"status\":\"ACTIVE\",\"productTitle\":\"Magnesium Sparkling Water - Calm - Lemon\",\"variantTitle\":\"6 Pack\",\"isMandatory\":false},{\"productId\":8318023663905,\"variantId\":45382766362913,\"name\":\"Magnesium Sparkling Water - Mind - Natural - 24 Pack\",\"productHandle\":\"mind\",\"imageSrc\":\"https://cdn.shopify.com/s/files/1/0769/6714/9857/files/2_2f9f1620-73ff-448e-9c82-1aee8eaae307.png?v=1715463305\",\"quantity\":1,\"price\":\"79.00\",\"status\":\"ACTIVE\",\"productTitle\":\"Magnesium Sparkling Water - Mind - Natural\",\"variantTitle\":\"24 Pack\",\"isMandatory\":false},{\"productId\":8318023663905,\"variantId\":45382766330145,\"name\":\"Magnesium Sparkling Water - Mind - Natural - 6 Pack\",\"productHandle\":\"mind\",\"imageSrc\":\"https://cdn.shopify.com/s/files/1/0769/6714/9857/files/2_2f9f1620-73ff-448e-9c82-1aee8eaae307.png?v=1715463305\",\"quantity\":1,\"price\":\"25.00\",\"status\":\"ACTIVE\",\"productTitle\":\"Magnesium Sparkling Water - Mind - Natural\",\"variantTitle\":\"6 Pack\",\"isMandatory\":false},{\"productId\":8318023663905,\"variantId\":50443987517729,\"name\":\"Magnesium Sparkling Water - Mind - Natural - Can\",\"productHandle\":\"mind\",\"imageSrc\":\"https://cdn.shopify.com/s/files/1/0769/6714/9857/files/2_2f9f1620-73ff-448e-9c82-1aee8eaae307.png?v=1715463305\",\"quantity\":1,\"price\":\"4.50\",\"status\":\"ACTIVE\",\"productTitle\":\"Magnesium Sparkling Water - Mind - Natural\",\"variantTitle\":\"Can\",\"isMandatory\":false}]","sequenceNo":null,"bundleType":"CLASSIC_BUILD_A_BOX","settings":null,"bundleProductId":null,"bundleVariantId":null,"productHandle":null,"discountId":null,"price":null,"numberOfProducts":0,"subscriptionBundlingEnabled":false,"subscriptionId":null,"minProductCount":null,"maxProductCount":null,"uniqueRef":"yXRQjGQtSV","bundleRedirect":"CART","customRedirectURL":null,"minOrderAmount":null,"tieredDiscount":null,"productViewStyle":"QUICK_ADD","singleProductSettings":"null","trackInventory":false,"sellingPlanType":"BUNDLE_LEVEL","clearCart":"ENABLED","minPrice":null,"maxPrice":null,"externalBuildABoxId":null,"variantVisibilityType":"SHOW_VARIANTS_AS_OPTIONS","subTitle":null,"freeShipping":false,"themeType":"THEME_TWO","showBundleInProductPage":true,"combinedWithProductDiscount":true,"combinedWithShippingDiscount":true,"combinedWithOrderDiscount":true,"allowedTags":null,"restrictTags":null,"selectionType":"FLEXIBLE","bundleHtml":"null","discountedVariants":"null","allowedCountries":null,"appliesOn":"BOTH","purchaseRequirement":"NO_REQUIREMENT","productDiscountType":"EACH_PRODUCT","countrySelectionType":"ALL_COUNTRY","discountApplyApproach":"SHOPIFY_DISCOUNT_FUNCTION"}];
+
+
+
+    _ABConfig.bundle_setting = {"id":1180,"shop":"heylo-australia.myshopify.com","showOnProductPage":null,"selector":null,"placement":null,"customCss":null,"customizeBundleOptionType":"RADIO","buyButtonSelector":null,"labels":"{\"switchSubscriptionLabel\":\"Subscribe & Save\",\"percentDiscountText\":\"Get {{discount_value}}% off on your purchase!\",\"requiredLoginValidationLabel\":\"Please log in to purchase this bundle!\",\"reviewOrderLabel\":\"Review Bundle\",\"loginAlertLinkLabel\":\"Click here to login\",\"primaryDisabledColor\":\"#333333\",\"bundleMinimumOrderAmountLabel\":\"Add minimum {{minimum_amount}} order amount\",\"breadCrumbProductsLabel\":\"Choose Products\",\"bundleQuantityRewardsLabel\":\"Add {{quantity}} item, get {{discount}}{{discount_type}} discount\",\"emptyProductImage\":\"https://cdn.shopify.com/s/files/1/0661/9224/4900/files/EmptyImage.jpg?v=1718447038\",\"reviewOrderInfoLabel\":\"\",\"switchOnTimeLabel\":\"One Time\",\"bundleMaximumQuantityLabel\":\"Add maximum up to {{maximum_quantity}} product\",\"chooseProductsText\":\"Products\",\"volumeDiscountNextApplicableQuantityRewardsLabel\":\"Buy {{quantity}} get {{discount}}{{discount_type}}\",\"bundleCheckoutLabel\":\"Checkout\",\"productAddToBundleLabel\":\"Add\",\"breadCrumbReviewBundleLabel\":\"Review Bundle\",\"orderNoteLabel\":\"Order Note\",\"buyXGetYFreeLabel\":\"Free\",\"dockbarHeadingLabel\":\"Bundle\",\"hidePurchaseOptionSelectLabel\":false,\"buyXGetYAddToCartLabel\":\"Add to cart\",\"fixedDiscountText\":\"Enjoy a fixed discount of {{currency}}{{discount_value}} on your purchase!\",\"fieldDisabledBackgroundColor\":\"#D1D5DB\",\"selectedProgressLabelText\":\"{{total_bundle_items}} item added with a minimum quantity of {{minimum_quantity}}\",\"bundleTotalLabel\":\"Total\",\"requiredBundleProductLabel\":\"Your bundle needs {{min_product_count}} more item(s).\",\"sellingPlanSelectionDropDownLabel\":\"Purchase Options\",\"disableProductDescription\":false,\"buyXGetYPercentDiscountText\":\"Enjoy a percentage discount of {{discount_value}}%\",\"dockbarDescriptionLabel\":\"You're getting the most rewards!\",\"subscriptionAvailableLabel\":\"Subscription Available\",\"readLessText\":\"Read Less\",\"enableProductDetailButton\":false,\"noItemsInBundle\":\"No items added to the bundle\",\"variantSelectionDropDownLabel\":\"Variants\",\"shippingDiscountLabel\":\"{{discount}}{{discount_type}} Shipping Discount\",\"breadCrumbPlanLabel\":\"Select Plan\",\"secondaryTextColor\":\"#ffffff\",\"bundleDiscountLabel\":\"Discount\",\"volumeDiscountAppliedQuantityRewardsLabel\":\"Applied: buy {{quantity}} get {{discount}}{{discount_type}}\",\"bundleNotEligibleLabel\":\"You're not eligible to purchase this bundle!\",\"reviewOrderProductsLabel\":\"Bundle Products\",\"outOfStockLabel\":\"Out Of Stock\",\"tieredDiscountLabel\":\"{{discount_amount}}{{discount_type}}<br/>Discount\",\"buyXGetYFreeGiftDiscountText\":\"Enjoy the free product\",\"showDescriptionPopup\":true,\"primaryTextColor\":\"#000000\",\"readMoreText\":\"Read More\",\"modalOpenOnAddToCart\":true,\"notApplicableForSubscribeAndSaveNotificationTitle\":\"Not applicable for subscribe & save\",\"bundleMinimumQuantityLabel\":\"Add minimum {{minimum_quantity}} product\",\"customSignInLink\":\"\",\"noSourceProductSelectedLabel\":\"No source product selected.\",\"volumeDiscountQuantityRewardsLabel\":\"Buy {{quantity}} quantity and get {{discount}}{{discount_type}} discount!\",\"loginAlertTextLabel\":\"You need to login to purchase this bundle.\",\"freeShippingLabel\":\"Free Shipping\",\"previousButtonLabel\":\"Previous Step\",\"chooseAPlanLabel\":\"Choose Plan\",\"productDetailsMaximumDescriptionCount\":300,\"singleParentProductDirectRedirectToChildProducts\":true,\"oneTimeOnlyLabel\":\"One time only\",\"buyXGetYFixedDiscountText\":\"Enjoy a fixed discount of {{discount_value}} {{currency}}\",\"primaryColor\":\"#000000\",\"chooseSourceProductValidationLabel\":\"Please choose source product!\",\"choosePlanButtonLabel\":\"Choose Plan\",\"bundleQuantityLabel\":\"{{quantity}}x\",\"volumeDiscountSpentAmountRewardsLabel\":\"Spend {{spent_amount}}{{currency}} and get {{discount}}{{discount_type}} discount!\",\"hideVariantSelectLabel\":false,\"bundleDetailsLabel\":\"Your bundle:\",\"availableOnlySubscriptionLabel\":\"Available Only On Subscription\",\"volumeDiscountAppliedSpentAmountRewardsLabel\":\"Applied: spend {{spent_amount}}{{currency}} get {{discount}}{{discount_type}}\",\"chooseAssociatedProductsValidationLabel\":\"Please choose associated products!\",\"selectedSourceProductLabel\":\"Selected\",\"bundleModalShowRewardsLabel\":\"Show all rewards\",\"volumeDiscountNextApplicableSpentAmountRewardsLabel\":\"Spend {{spent_amount}}{{currency}} get {{discount}}{{discount_type}}\",\"notApplicableForOneTimeNotificationTitle\":\"Not applicable for one time\",\"primaryDisabledTextColor\":\"#ffffff\",\"bundleSpentAmountRewardsLabel\":\"Spent {{spent_amount}} worth of items, get {{discount}}{{discount_type}} discount\",\"disabledTextColor\":\"#6B7280\",\"primaryHoverColor\":\"#000000\",\"nextButtonLabel\":\"Next Step\",\"classicBundleDescriptionLabel\":\"Your bundle contains the following products.\",\"bundleBottomHtml\":\"\",\"descriptionLength\":200,\"bundleDiscountNote\":\"Discounts will be applied at checkout.\",\"bundleModalCloseRewardsLabel\":\"Close all rewards\",\"dockbarCurrentRewardLabel\":\"You got {{discount_amount}}{{discount_type}} discount\",\"productDetailsAddToBundleLabel\":\"Add to bundle\",\"bundleNoProductSelectedLabel\":\"No product selected\",\"bundleSubtotalLabel\":\"Subtotal\",\"reviewOrderDescription\":\"Check your items and select your required frequency plan\",\"oneTimePurchaseLabel\":\"One Time Purchase\",\"volumeDiscountSaveRewardsLabel\":\"Save {{discount}}{{discount_type}}!\",\"addingProductsToBundle\":\"Adding products to bundle\",\"bundleModalHeaderLabel\":\"Your Bundle({{total_quantity}})\",\"productAddedToBundleNotificationTitle\":\"Added to bundle\",\"productAddedToBundleNotificationDescription\":\"{{product_title}} added to bundle.\",\"customHtmlInject\":\"[]\",\"bundleTopHtml\":\"\",\"proceedToCheckoutButtonText\":\"\"}","bundleTopHtml":"","bundleBottomHtml":"","proceedToCheckoutButtonText":"","chooseProductsText":"Products","productAddToBundleLabel":"Add","productDetailsAddToBundleLabel":"Add to bundle","productDetailsMaximumDescriptionCount":300,"variantSelectionDropDownLabel":"Variants","sellingPlanSelectionDropDownLabel":"Purchase Options","dockbarHeadingLabel":"Bundle","dockbarCurrentRewardLabel":"You got {{discount_amount}}{{discount_type}} discount","dockbarDescriptionLabel":"You're getting the most rewards!","bundleModalHeaderLabel":"Your Bundle({{total_quantity}})","bundleModalShowRewardsLabel":"Show all rewards","bundleModalCloseRewardsLabel":"Close all rewards","bundleQuantityRewardsLabel":"Add {{quantity}} item, get {{discount}}{{discount_type}} discount","bundleSpentAmountRewardsLabel":"Spent {{spent_amount}} worth of items, get {{discount}}{{discount_type}} discount","bundleQuantityLabel":"{{quantity}}x","bundleSubtotalLabel":"Subtotal","bundleDiscountLabel":"Discount","bundleTotalLabel":"Total","bundleCheckoutLabel":"Checkout","bundleMinimumQuantityLabel":"Add minimum {{minimum_quantity}} product","bundleMaximumQuantityLabel":"Add maximum up to {{maximum_quantity}} product","bundleMinimumOrderAmountLabel":"Add minimum {{minimum_amount}} order amount","oneTimePurchaseLabel":"One Time Purchase","noItemsInBundle":"No items added to the bundle","modalOpenOnAddToCart":true,"productAddedToBundleNotificationTitle":"Added to bundle","productAddedToBundleNotificationDescription":"{{product_title}} added to bundle.","chooseAPlanLabel":"Choose Plan","nextButtonLabel":"Next Step","previousButtonLabel":"Previous Step","chooseSourceProductValidationLabel":"Please choose source product!","chooseAssociatedProductsValidationLabel":"Please choose associated products!","choosePlanButtonLabel":"Choose Plan","selectedSourceProductLabel":"Selected","noSourceProductSelectedLabel":"No source product selected.","reviewOrderLabel":"Review Bundle","reviewOrderDescription":"Check your items and select your required frequency plan","reviewOrderProductsLabel":"Bundle Products","reviewOrderInfoLabel":"","orderNoteLabel":"Order Note","selectedProgressLabelText":"{{total_bundle_items}} item added with a minimum quantity of {{minimum_quantity}}","availableOnlySubscriptionLabel":"Available Only On Subscription","subscriptionAvailableLabel":"Subscription Available","oneTimeOnlyLabel":"One time only","switchOnTimeLabel":"One Time","switchSubscriptionLabel":"Subscribe & Save","breadCrumbPlanLabel":"Select Plan","breadCrumbProductsLabel":"Choose Products","breadCrumbReviewBundleLabel":"Review Bundle","showDescriptionPopup":true,"tieredDiscountLabel":"{{discount_amount}}{{discount_type}}<br/>Discount","emptyProductImage":"https://cdn.shopify.com/s/files/1/0661/9224/4900/files/EmptyImage.jpg?v=1718447038","outOfStockLabel":"Out Of Stock","notApplicableForOneTimeNotificationTitle":"Not applicable for one time","notApplicableForSubscribeAndSaveNotificationTitle":"Not applicable for subscribe & save","disableProductDescription":false,"descriptionLength":200,"readLessText":"Read Less","readMoreText":"Read More","bundleNoProductSelectedLabel":"No product selected","customHtmlInject":"[]","bundleDetailsLabel":"Your bundle:","bundleDiscountNote":"Discounts will be applied at checkout.","fixedDiscountText":"Enjoy a fixed discount of {{currency}}{{discount_value}} on your purchase!","percentDiscountText":"Get {{discount_value}}% off on your purchase!","hideVariantSelectLabel":false,"hidePurchaseOptionSelectLabel":false,"primaryColor":"#000000","primaryTextColor":"#000000","secondaryTextColor":"#ffffff","primaryHoverColor":"#000000","primaryDisabledColor":"#333333","primaryDisabledTextColor":"#ffffff","fieldDisabledBackgroundColor":"#D1D5DB","disabledTextColor":"#6B7280","volumeDiscountSaveRewardsLabel":"Save {{discount}}{{discount_type}}!","volumeDiscountQuantityRewardsLabel":"Buy {{quantity}} quantity and get {{discount}}{{discount_type}} discount!","volumeDiscountSpentAmountRewardsLabel":"Spend {{spent_amount}}{{currency}} and get {{discount}}{{discount_type}} discount!","volumeDiscountAppliedQuantityRewardsLabel":"Applied: buy {{quantity}} get {{discount}}{{discount_type}}","volumeDiscountAppliedSpentAmountRewardsLabel":"Applied: spend {{spent_amount}}{{currency}} get {{discount}}{{discount_type}}","volumeDiscountNextApplicableQuantityRewardsLabel":"Buy {{quantity}} get {{discount}}{{discount_type}}","volumeDiscountNextApplicableSpentAmountRewardsLabel":"Spend {{spent_amount}}{{currency}} get {{discount}}{{discount_type}}","addingProductsToBundle":"Adding products to bundle","freeShippingLabel":"Free Shipping","requiredBundleProductLabel":"Your bundle needs {{min_product_count}} more item(s).","enableProductDetailButton":false,"requiredLoginValidationLabel":"Please log in to purchase this bundle!","bundleNotEligibleLabel":"You're not eligible to purchase this bundle!","loginAlertTextLabel":"You need to login to purchase this bundle.","loginAlertLinkLabel":"Click here to login","customSignInLink":"","shippingDiscountLabel":"{{discount}}{{discount_type}} Shipping Discount","classicBundleDescriptionLabel":"Your bundle contains the following products.","singleParentProductDirectRedirectToChildProducts":true,"buyXGetYFixedDiscountText":"Enjoy a fixed discount of {{discount_value}} {{currency}}","buyXGetYPercentDiscountText":"Enjoy a percentage discount of {{discount_value}}%","buyXGetYFreeGiftDiscountText":"Enjoy the free product","buyXGetYAddToCartLabel":"Add to cart","buyXGetYFreeLabel":"Free"};
+
+
+
+    _ABConfig.enabledSubscription = true;
+
+
+
+
+    _ABConfig.enableValidateDiscountQuantity = false;
+
+
+    _ABConfig.customerId = null;
+    _ABConfig.customerName = '';
+    _ABConfig.firstName = '';
+    _ABConfig.lastName = '';
+    _ABConfig.customerEmail = null;
+    _ABConfig.customerTags = [];
+    _ABConfig.customerDiscountUsage = [];
+
+
+
+
+    _ABConfig.shop = "heylo-australia.myshopify.com";
+    _ABConfig.shopMoneyFormat = "${{amount}}";
+    _ABConfig.shopMoneyFormatWithCurrencyFormat = "${{amount}} AUD";
+
+
+
+
+    <!-- BEGIN app snippet: get-discount-bundles -->
+    window._ABConfig.getProductDiscountedPricing = ({ variantId, amount, quantity, sellingPlanId }) => {
+        console.log("Executed DiscountBundlesByBundleType");
+        if (!variantId) {
+            console.error('Please provide a current variant id');
+            return [];
+        }
+        //helper functions
+        const isDiscountUsageLimitExceed = (customerDiscountUsage, bundle) => {
+            if (customerDiscountUsage && customerDiscountUsage.length) {
+                const targetDiscountUsage = customerDiscountUsage.find(
+                    (discountUsage) => discountUsage?.uniqueRef === bundle?.uniqueRef
+                );
+                return targetDiscountUsage && targetDiscountUsage?.usageCount >= bundle?.limitToUsePerCustomer;
+            }
+            return false;
+        };
+        const isBundleRestrictedCustomerByTagsByDiscount = (item, customerTags) => {
+            if (!item?.restrictTags) return false;
+            const restrictTags = item?.restrictTags?.split(',');
+            return customerTags && customerTags.length > 0 && customerTags.some((tag) => restrictTags?.includes(tag));
+        };
+        const isBundleAllowedByCustomersTagByDiscount = (item, customerTags) => {
+            if (!item?.allowedTags) return true;
+            const allowedCustomersOnly = item?.allowedTags?.split(',');
+            return (
+                customerTags &&
+                customerTags.length > 0 &&
+                customerTags.some((tag) => allowedCustomersOnly?.includes(tag))
+            );
+        };
+        const isBundleRestrictedByDiscount = (item, customerTags) => {
+            return isBundleRestrictedCustomerByTagsByDiscount(item, customerTags) || !isBundleAllowedByCustomersTagByDiscount(item, customerTags);
+        };
+        const processBundleRules = (bundles, type, fields) =>
+            bundles
+                .filter((bundle) => bundle?.bundleType === type)
+                .map((rule) => {
+                    const parsedRule = { ...rule };
+                    fields.forEach((field) => {
+                        parsedRule[field] = JSON.parse(rule[field]);
+                    });
+                    return parsedRule;
+                });
+        const getBestDiscount = (applicableDiscounts, lineItem, discountKey = 'discount') => {
+            return applicableDiscounts.reduce((greater, current) => {
+                const greaterDiscount = greater?.[discountKey];
+                const currentDiscount = current?.[discountKey];
+
+                if ((greater?.discountType === "PERCENTAGE" && current?.discountType === "PERCENTAGE") ||
+                    (greater?.discountType === "FIXED_AMOUNT" && current?.discountType === "FIXED_AMOUNT")) {
+                    return currentDiscount > greaterDiscount ? current : greater;
+
+                } else if (current?.discountType === "FIXED_AMOUNT" && greater?.discountType === "PERCENTAGE") {
+                    return currentDiscount > ((greaterDiscount / 100) * lineItem?.totalAmount) ? current : greater;
+
+                } else if (current?.discountType === "PERCENTAGE" && greater?.discountType === "FIXED_AMOUNT") {
+                    return ((currentDiscount / 100) * lineItem?.totalAmount) > greaterDiscount ? current : greater;
+                }
+
+                return currentDiscount > greaterDiscount ? current : greater;
+            });
+        };
+        const getApplicableTieredDiscount = (volumeDiscountBundles, lineItem) => {
+            let applicableDiscount = null;
+
+            const updatedVolumeDiscountBundles = volumeDiscountBundles.map(bundle => {
+                const updatedTieredDiscount = bundle?.tieredDiscount.map(discount => {
+                    return {
+                        ...discount,
+                        appliesOn: bundle?.appliesOn
+                    };
+                })
+
+                return {
+                    ...bundle,
+                    tieredDiscount: updatedTieredDiscount
+                }
+            });
+
+            const volumeDiscountBundlesTieredDiscount = updatedVolumeDiscountBundles.reduce((acc, item) => {
+                return acc.concat(item?.tieredDiscount);
+            }, []);
+
+            let applicableQuantityBasedDiscount = volumeDiscountBundlesTieredDiscount
+                .filter(tieredDiscount => tieredDiscount?.discountBasedOn === "QUANTITY")
+                .filter(tieredDiscount => lineItem?.quantity >= tieredDiscount?.value);
+            applicableQuantityBasedDiscount = applicableQuantityBasedDiscount.length > 0 ? getBestDiscount(applicableQuantityBasedDiscount, lineItem) : null;
+
+            let applicableSpendAmountBasedDiscount = volumeDiscountBundlesTieredDiscount
+                .filter(tieredDiscount => tieredDiscount?.discountBasedOn === "AMOUNT")
+                .filter(tieredDiscount => lineItem?.totalAmount >= tieredDiscount?.value);
+            applicableSpendAmountBasedDiscount = applicableSpendAmountBasedDiscount.length > 0 ? getBestDiscount(applicableSpendAmountBasedDiscount, lineItem, ) : null;
+
+            if (applicableQuantityBasedDiscount && applicableSpendAmountBasedDiscount) {
+
+                if ((applicableQuantityBasedDiscount?.discountType === "PERCENTAGE" && applicableSpendAmountBasedDiscount?.discountType === "PERCENTAGE") || (applicableQuantityBasedDiscount?.discountType === "FIXED_AMOUNT" && applicableSpendAmountBasedDiscount?.discountType === "FIXED_AMOUNT")) {
+                    if (applicableQuantityBasedDiscount?.discount > applicableSpendAmountBasedDiscount?.discount) {
+                        applicableDiscount = applicableQuantityBasedDiscount;
+                    } else {
+                        applicableDiscount = applicableSpendAmountBasedDiscount;
+                    }
+
+                }else if(applicableQuantityBasedDiscount?.discountType === "PERCENTAGE" && applicableSpendAmountBasedDiscount?.discountType === "FIXED_AMOUNT"){
+                    if (((applicableQuantityBasedDiscount?.discount / 100) * lineItem?.totalAmount) > applicableSpendAmountBasedDiscount?.discount) {
+                        applicableDiscount = applicableQuantityBasedDiscount;
+                    } else {
+                        applicableDiscount = applicableSpendAmountBasedDiscount;
+                    }
+
+                }else if(applicableQuantityBasedDiscount?.discountType === "FIXED_AMOUNT" && applicableSpendAmountBasedDiscount?.discountType === "PERCENTAGE"){
+                    if (applicableQuantityBasedDiscount?.discount > ((applicableSpendAmountBasedDiscount?.discount / 100) * lineItem?.totalAmount)) {
+                        applicableDiscount = applicableQuantityBasedDiscount;
+                    } else {
+                        applicableDiscount = applicableSpendAmountBasedDiscount;
+                    }
+                }
+
+            } else if (applicableQuantityBasedDiscount) {
+                applicableDiscount = applicableQuantityBasedDiscount;
+            } else if (applicableSpendAmountBasedDiscount) {
+                applicableDiscount = applicableSpendAmountBasedDiscount;
+            }
+            return applicableDiscount;
+        }
+        const getApplicablePercentOrFixedDiscount = (discountedPricingBundles, lineItem) => {
+            let applicableDiscount = null;
+
+            let applicableQuantityBasedDiscount = discountedPricingBundles
+                .map(bundle => {
+                    return {
+                        ...bundle,
+                        minProductCount: bundle?.minProductCount || 0,
+                        maxProductCount: bundle?.maxProductCount || 0,
+                        minOrderAmount: bundle?.minOrderAmount || 0
+                    };
+                })
+                .filter(bundle => {
+                    const minCount = bundle.minProductCount;
+                    const maxCount = bundle.maxProductCount;
+                    const minAmount = bundle.minOrderAmount;
+
+                    if (minCount > 0 && lineItem.quantity < minCount) return false;
+                    if (maxCount > 0 && lineItem.quantity > maxCount) return false;
+
+                    if (minAmount > 0 && lineItem.amount < minAmount) return false;
+
+                    return true;
+                });
+            applicableDiscount = applicableQuantityBasedDiscount.length > 0 ? getBestDiscount(applicableQuantityBasedDiscount, lineItem, 'discountValue') : null;
+
+            if(applicableDiscount){
+                applicableDiscount =  {
+                    discountBasedOn: applicableDiscount?.minOrderAmount > 0 && applicableDiscount?.minProductCount === 0 ? "AMOUNT" : "QUANTITY",
+                    value: applicableDiscount?.minOrderAmount > 0 && applicableDiscount?.minProductCount === 0 ? lineItem?.totalAmount : lineItem?.quantity,
+                    discount: applicableDiscount?.discountValue,
+                    discountType: applicableDiscount?.discountType,
+                    appliesOn: applicableDiscount?.appliesOn
+                }
+            }
+
+            return applicableDiscount;
+        }
+
+
+
+
+        const discountBundles = [{"id":3376,"shop":"heylo-australia.myshopify.com","name":"Bundle with other products and save...","description":null,"status":"ACTIVE","customerIncludeTags":null,"discountType":"PERCENTAGE","discountValue":5.0,"products":"null","variants":"[{\"productId\":9488595616033,\"variantId\":49649920639265,\"name\":\"Magnesium Sampler Bundle - Samples Pack (3 of each flavour)\",\"productHandle\":\"magnesium-sampler-bundle\",\"imageSrc\":\"https://cdn.shopify.com/s/files/1/0769/6714/9857/files/Instagram_Posts_lemon.png?v=1719091995\",\"quantity\":1,\"price\":\"30.00\",\"status\":\"ACTIVE\",\"productTitle\":\"Magnesium Sampler Bundle\",\"variantTitle\":\"Samples Pack (3 of each flavour)\",\"isMandatory\":false},{\"productId\":8318071275809,\"variantId\":50480621388065,\"name\":\"Magnesium Sparkling Water - Calm - Lemon - 1 can\",\"productHandle\":\"calm\",\"imageSrc\":\"https://cdn.shopify.com/s/files/1/0769/6714/9857/files/3_5257d05b-57d4-4728-b6e1-1cf1a918bbe3.png?v=1715463885\",\"quantity\":1,\"price\":\"4.50\",\"status\":\"ACTIVE\",\"productTitle\":\"Magnesium Sparkling Water - Calm - Lemon\",\"variantTitle\":\"1 can\",\"isMandatory\":false},{\"productId\":8318071275809,\"variantId\":45382770262305,\"name\":\"Magnesium Sparkling Water - Calm - Lemon - 24 Pack\",\"productHandle\":\"calm\",\"imageSrc\":\"https://cdn.shopify.com/s/files/1/0769/6714/9857/files/3_5257d05b-57d4-4728-b6e1-1cf1a918bbe3.png?v=1715463885\",\"quantity\":1,\"price\":\"79.00\",\"status\":\"ACTIVE\",\"productTitle\":\"Magnesium Sparkling Water - Calm - Lemon\",\"variantTitle\":\"24 Pack\",\"isMandatory\":false},{\"productId\":8318071275809,\"variantId\":45382770229537,\"name\":\"Magnesium Sparkling Water - Calm - Lemon - 6 Pack\",\"productHandle\":\"calm\",\"imageSrc\":\"https://cdn.shopify.com/s/files/1/0769/6714/9857/files/3_5257d05b-57d4-4728-b6e1-1cf1a918bbe3.png?v=1715463885\",\"quantity\":1,\"price\":\"25.00\",\"status\":\"ACTIVE\",\"productTitle\":\"Magnesium Sparkling Water - Calm - Lemon\",\"variantTitle\":\"6 Pack\",\"isMandatory\":false},{\"productId\":8318023663905,\"variantId\":45382766362913,\"name\":\"Magnesium Sparkling Water - Mind - Natural - 24 Pack\",\"productHandle\":\"mind\",\"imageSrc\":\"https://cdn.shopify.com/s/files/1/0769/6714/9857/files/2_2f9f1620-73ff-448e-9c82-1aee8eaae307.png?v=1715463305\",\"quantity\":1,\"price\":\"79.00\",\"status\":\"ACTIVE\",\"productTitle\":\"Magnesium Sparkling Water - Mind - Natural\",\"variantTitle\":\"24 Pack\",\"isMandatory\":false},{\"productId\":8318023663905,\"variantId\":45382766330145,\"name\":\"Magnesium Sparkling Water - Mind - Natural - 6 Pack\",\"productHandle\":\"mind\",\"imageSrc\":\"https://cdn.shopify.com/s/files/1/0769/6714/9857/files/2_2f9f1620-73ff-448e-9c82-1aee8eaae307.png?v=1715463305\",\"quantity\":1,\"price\":\"25.00\",\"status\":\"ACTIVE\",\"productTitle\":\"Magnesium Sparkling Water - Mind - Natural\",\"variantTitle\":\"6 Pack\",\"isMandatory\":false},{\"productId\":8318023663905,\"variantId\":50443987517729,\"name\":\"Magnesium Sparkling Water - Mind - Natural - Can\",\"productHandle\":\"mind\",\"imageSrc\":\"https://cdn.shopify.com/s/files/1/0769/6714/9857/files/2_2f9f1620-73ff-448e-9c82-1aee8eaae307.png?v=1715463305\",\"quantity\":1,\"price\":\"4.50\",\"status\":\"ACTIVE\",\"productTitle\":\"Magnesium Sparkling Water - Mind - Natural\",\"variantTitle\":\"Can\",\"isMandatory\":false}]","sequenceNo":null,"bundleType":"CLASSIC_BUILD_A_BOX","settings":null,"bundleProductId":null,"bundleVariantId":null,"productHandle":null,"discountId":null,"price":null,"numberOfProducts":0,"subscriptionBundlingEnabled":false,"subscriptionId":null,"minProductCount":null,"maxProductCount":null,"uniqueRef":"yXRQjGQtSV","bundleRedirect":"CART","customRedirectURL":null,"minOrderAmount":null,"tieredDiscount":null,"productViewStyle":"QUICK_ADD","singleProductSettings":"null","trackInventory":false,"sellingPlanType":"BUNDLE_LEVEL","clearCart":"ENABLED","minPrice":null,"maxPrice":null,"externalBuildABoxId":null,"variantVisibilityType":"SHOW_VARIANTS_AS_OPTIONS","subTitle":null,"freeShipping":false,"themeType":"THEME_TWO","showBundleInProductPage":true,"combinedWithProductDiscount":true,"combinedWithShippingDiscount":true,"combinedWithOrderDiscount":true,"allowedTags":null,"restrictTags":null,"selectionType":"FLEXIBLE","bundleHtml":"null","discountedVariants":"null","allowedCountries":null,"appliesOn":"BOTH","purchaseRequirement":"NO_REQUIREMENT","productDiscountType":"EACH_PRODUCT","countrySelectionType":"ALL_COUNTRY","discountApplyApproach":"SHOPIFY_DISCOUNT_FUNCTION"}];
+        const customerTags = null;
+        let customerDiscountUsage = [];
+        let isLoggedIn = false;
+
+
+
+        const filteredDiscountBundles =  Array.isArray(discountBundles) && discountBundles.length > 0 && discountBundles?.filter((bundle) => {
+            if (bundle?.status !== 'ACTIVE') {
+                return false;
+            }
+            if ((bundle?.allowedTags || bundle?.restrictTags || bundle?.limitToUsePerCustomer > 0) && !isLoggedIn) {
+                return false;
+            }
+            if ((bundle?.allowedTags || bundle?.restrictTags) && isLoggedIn && isBundleRestrictedByDiscount(bundle, customerTags)) {
+                return false;
+            }
+            if (bundle?.limitToUsePerCustomer > 0 && isDiscountUsageLimitExceed(customerDiscountUsage, bundle)) {
+                return false;
+            }
+            if (bundle?.appliesOn === "ONE_TIME" && sellingPlanId != null) {
+                return false;
+            }
+            if (bundle?.appliesOn === "SUBSCRIPTION" && sellingPlanId === null) {
+                return false;
+            }
+            try {
+                const variants = JSON.parse(bundle?.variants || '[]');
+                return variants.some((variant) => parseInt(variant?.variantId) === parseInt(variantId));
+            } catch (e) {
+                console.error('Failed to parse JSON:', e);
+                return false;
+            }
+        }) || [];
+
+        const totalAmount =  amount * quantity;
+        const lineItem = {variantId, quantity, amount, totalAmount };
+        const volumeDiscountBundles = processBundleRules(filteredDiscountBundles, 'VOLUME_DISCOUNT', ["variants", "tieredDiscount"]);
+        const discountedPricingBundles = processBundleRules(filteredDiscountBundles, 'DISCOUNTED_PRICING', ["variants"]);
+
+        let applicableDiscount = null;
+        const volumeDiscount = getApplicableTieredDiscount(volumeDiscountBundles, lineItem);
+        const pricingDiscount = getApplicablePercentOrFixedDiscount(discountedPricingBundles, lineItem);
+
+        if (volumeDiscount && pricingDiscount) {
+            applicableDiscount = getBestDiscount([volumeDiscount, pricingDiscount], lineItem);
+        } else {
+            applicableDiscount = volumeDiscount || pricingDiscount;
+        }
+
+        const discountAmount = applicableDiscount?.discountType === "PERCENTAGE" ? (totalAmount *  applicableDiscount?.discount) / 100 : applicableDiscount?.discount;
+        const discountedPrice = applicableDiscount?.discountType === "PERCENTAGE" ? (totalAmount - discountAmount) : ( totalAmount - applicableDiscount?.discount);
+
+        return {
+            variantId,
+            quantity,
+            amount,
+            totalAmount,
+            discountType: applicableDiscount?.discountType,
+            discountValue: applicableDiscount?.discount,
+            discountAmount,
+            discountedPrice: !isNaN(discountedPrice) ? discountedPrice : undefined,
+            discountConfigure: applicableDiscount?.appliesOn
+        };
+    };
+
+<!-- END app snippet -->
+
+
+
+
+
+
+        <!-- BEGIN app snippet: appstle-dynamic-pricing-bundle-product-page-script -->
+    (() => {
+        const executeDynamicBundleBlock = ({ blockElement, productId }) => {
+            const babBundles = [{"id":3376,"shop":"heylo-australia.myshopify.com","name":"Bundle with other products and save...","description":null,"status":"ACTIVE","customerIncludeTags":null,"discountType":"PERCENTAGE","discountValue":5.0,"products":"null","variants":"[{\"productId\":9488595616033,\"variantId\":49649920639265,\"name\":\"Magnesium Sampler Bundle - Samples Pack (3 of each flavour)\",\"productHandle\":\"magnesium-sampler-bundle\",\"imageSrc\":\"https://cdn.shopify.com/s/files/1/0769/6714/9857/files/Instagram_Posts_lemon.png?v=1719091995\",\"quantity\":1,\"price\":\"30.00\",\"status\":\"ACTIVE\",\"productTitle\":\"Magnesium Sampler Bundle\",\"variantTitle\":\"Samples Pack (3 of each flavour)\",\"isMandatory\":false},{\"productId\":8318071275809,\"variantId\":50480621388065,\"name\":\"Magnesium Sparkling Water - Calm - Lemon - 1 can\",\"productHandle\":\"calm\",\"imageSrc\":\"https://cdn.shopify.com/s/files/1/0769/6714/9857/files/3_5257d05b-57d4-4728-b6e1-1cf1a918bbe3.png?v=1715463885\",\"quantity\":1,\"price\":\"4.50\",\"status\":\"ACTIVE\",\"productTitle\":\"Magnesium Sparkling Water - Calm - Lemon\",\"variantTitle\":\"1 can\",\"isMandatory\":false},{\"productId\":8318071275809,\"variantId\":45382770262305,\"name\":\"Magnesium Sparkling Water - Calm - Lemon - 24 Pack\",\"productHandle\":\"calm\",\"imageSrc\":\"https://cdn.shopify.com/s/files/1/0769/6714/9857/files/3_5257d05b-57d4-4728-b6e1-1cf1a918bbe3.png?v=1715463885\",\"quantity\":1,\"price\":\"79.00\",\"status\":\"ACTIVE\",\"productTitle\":\"Magnesium Sparkling Water - Calm - Lemon\",\"variantTitle\":\"24 Pack\",\"isMandatory\":false},{\"productId\":8318071275809,\"variantId\":45382770229537,\"name\":\"Magnesium Sparkling Water - Calm - Lemon - 6 Pack\",\"productHandle\":\"calm\",\"imageSrc\":\"https://cdn.shopify.com/s/files/1/0769/6714/9857/files/3_5257d05b-57d4-4728-b6e1-1cf1a918bbe3.png?v=1715463885\",\"quantity\":1,\"price\":\"25.00\",\"status\":\"ACTIVE\",\"productTitle\":\"Magnesium Sparkling Water - Calm - Lemon\",\"variantTitle\":\"6 Pack\",\"isMandatory\":false},{\"productId\":8318023663905,\"variantId\":45382766362913,\"name\":\"Magnesium Sparkling Water - Mind - Natural - 24 Pack\",\"productHandle\":\"mind\",\"imageSrc\":\"https://cdn.shopify.com/s/files/1/0769/6714/9857/files/2_2f9f1620-73ff-448e-9c82-1aee8eaae307.png?v=1715463305\",\"quantity\":1,\"price\":\"79.00\",\"status\":\"ACTIVE\",\"productTitle\":\"Magnesium Sparkling Water - Mind - Natural\",\"variantTitle\":\"24 Pack\",\"isMandatory\":false},{\"productId\":8318023663905,\"variantId\":45382766330145,\"name\":\"Magnesium Sparkling Water - Mind - Natural - 6 Pack\",\"productHandle\":\"mind\",\"imageSrc\":\"https://cdn.shopify.com/s/files/1/0769/6714/9857/files/2_2f9f1620-73ff-448e-9c82-1aee8eaae307.png?v=1715463305\",\"quantity\":1,\"price\":\"25.00\",\"status\":\"ACTIVE\",\"productTitle\":\"Magnesium Sparkling Water - Mind - Natural\",\"variantTitle\":\"6 Pack\",\"isMandatory\":false},{\"productId\":8318023663905,\"variantId\":50443987517729,\"name\":\"Magnesium Sparkling Water - Mind - Natural - Can\",\"productHandle\":\"mind\",\"imageSrc\":\"https://cdn.shopify.com/s/files/1/0769/6714/9857/files/2_2f9f1620-73ff-448e-9c82-1aee8eaae307.png?v=1715463305\",\"quantity\":1,\"price\":\"4.50\",\"status\":\"ACTIVE\",\"productTitle\":\"Magnesium Sparkling Water - Mind - Natural\",\"variantTitle\":\"Can\",\"isMandatory\":false}]","sequenceNo":null,"bundleType":"CLASSIC_BUILD_A_BOX","settings":null,"bundleProductId":null,"bundleVariantId":null,"productHandle":null,"discountId":null,"price":null,"numberOfProducts":0,"subscriptionBundlingEnabled":false,"subscriptionId":null,"minProductCount":null,"maxProductCount":null,"uniqueRef":"yXRQjGQtSV","bundleRedirect":"CART","customRedirectURL":null,"minOrderAmount":null,"tieredDiscount":null,"productViewStyle":"QUICK_ADD","singleProductSettings":"null","trackInventory":false,"sellingPlanType":"BUNDLE_LEVEL","clearCart":"ENABLED","minPrice":null,"maxPrice":null,"externalBuildABoxId":null,"variantVisibilityType":"SHOW_VARIANTS_AS_OPTIONS","subTitle":null,"freeShipping":false,"themeType":"THEME_TWO","showBundleInProductPage":true,"combinedWithProductDiscount":true,"combinedWithShippingDiscount":true,"combinedWithOrderDiscount":true,"allowedTags":null,"restrictTags":null,"selectionType":"FLEXIBLE","bundleHtml":"null","discountedVariants":"null","allowedCountries":null,"appliesOn":"BOTH","purchaseRequirement":"NO_REQUIREMENT","productDiscountType":"EACH_PRODUCT","countrySelectionType":"ALL_COUNTRY","discountApplyApproach":"SHOPIFY_DISCOUNT_FUNCTION"}];
+            window['isAppstleBuildABox'] = true;
+            window.sessionStorage.setItem('external-bundle-token', window.appstle_bundle_external_token);
+
+            const filteredBundles = Array.isArray(babBundles) && babBundles?.length > 0 && babBundles.filter((rule) => {
+                rule.themeType = 'THEME_TWO';
+                if (rule?.bundleType === 'CLASSIC_BUILD_A_BOX' && rule?.status === 'ACTIVE' && rule?.showBundleInProductPage === true) {
+                    try {
+                        const variants = JSON.parse(rule?.variants || '[]');
+                        return variants.some((variant) => parseInt(variant?.productId) === parseInt(productId));
+                    } catch (e) {
+                        console.error('Failed to parse JSON:', e);
+                        return false;
+                    }
+                }
+                return false;
+            }) || [];
+            if (filteredBundles?.length > 0 && blockElement) {
+                const link = document.createElement('link');
+                link.rel = 'stylesheet';
+                link.href = "https://bundles-admin.appstle.com/content/loyalty-widget.css?v=1729669550105";
+                document.head.appendChild(link);
+
+                const script = document.createElement('script');
+                script.async = true;
+                script.src = "https://bundles-admin.appstle.com/app/loyalty-widget.bundle.js?v=1729669550105";
+                document.head.appendChild(script);
+
+
+                filteredBundles.forEach((rule) => {
+                    const bundleDiv = document.createElement('div');
+                    bundleDiv.setAttribute(`appstle-dynamic-bundle-unique-reference`, rule?.uniqueRef);
+                    bundleDiv.className = `appstleBundlesProductPage appstleDynamicBundle-${rule?.uniqueRef}`;
+                    blockElement.appendChild(bundleDiv);
+                    const appBlockDiv = document.querySelector('div[data-block-handle="appstle-bundle-product-page-build-a-box"]');
+                    if (appBlockDiv) {
+                        appBlockDiv.appendChild(blockElement);
+                    }
+                });
+            }
+        };
+
+        const productId = "";
+        const blockElement = document.getElementById('dynamic-pricing-bundle-product-page');
+        const blockElements = document.querySelectorAll('.ab-dynamic-bundle-custom-placement-selector');
+        if (blockElement) {
+            executeDynamicBundleBlock({ blockElement, productId });
+        }
+        if (blockElements && blockElements.length > 0) {
+            blockElements.forEach((element) => {
+                const productId = element?.getAttribute('data-product-id');
+                executeDynamicBundleBlock({ blockElement: element, productId });
+            });
+        }
+    })();
+
+<!-- END app snippet -->
+
+
+
+</script>
+
+
+
+
+
+
+
+
+
+    <style>
+        .next-volume-discount-cart-value {
+            font-size: 12px;
+            color: blue;
+            font-weight: bold;
+        }
+
+
+    </style>
+
+
+
+
+
+
+</div><div id="shopify-block-Aamora2hLNHcxQVNaT__12120936241911852800" class="shopify-block shopify-app-block"><section class='jdgm-widget jdgm-revs-tab' role='complementary'>
+
+  <div class='jdgm-revs-tab-btn btn' position="right" tabindex="0" aria-label="Click to open Judge.me floating reviews tab" role='button'>★ Reviews</div>
+  <div class='jdgm-revs-tab__header'>
+    <a class='jdgm-close-ico'></a>
+    <h3 class='jdgm-revs-tab__title'>Let customers speak for us</h3>
+    <a class='jdgm-revs-tab__url' href='/pages/reviews'>
+      <div data-score='4.79' class='jdgm-all-reviews-rating' aria-label='Average rating is 4.79' role='img'></div>57 reviews
+    </a>
+  </div>
+  <style>  </style> <section class='jdgm-revs-tab__wrapper'> <style>.jdgm-revs-tab{display: none}</style> <div class='jdgm-mask'></div> <div class='jdgm-revs-tab__main'> <div class='jdgm-revs-tab__content'> <div class='jdgm-revs-tab__content-header' data-number-of-product-reviews='57' data-number-of-shop-reviews='0'> <a style='display: none' href='#' class='jdgm-write-rev-link'>Write a review</a> <div class='jdgm-histogram jdgm-temp-hidden'>  <div class='jdgm-histogram__row' data-rating='5' data-frequency='51' data-percentage='89'>  <div class='jdgm-histogram__star' role='button' aria-label="89% (51) reviews with 5 star rating"  tabindex='0' ><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--on'></span></div> <div class='jdgm-histogram__bar'> <div class='jdgm-histogram__bar-content' style='width: 89%;'> </div> </div> <div class='jdgm-histogram__percentage'>89%</div> <div class='jdgm-histogram__frequency'>(51)</div> </div>  <div class='jdgm-histogram__row' data-rating='4' data-frequency='3' data-percentage='5'>  <div class='jdgm-histogram__star' role='button' aria-label="5% (3) reviews with 4 star rating"  tabindex='0' ><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--off'></span></div> <div class='jdgm-histogram__bar'> <div class='jdgm-histogram__bar-content' style='width: 5%;'> </div> </div> <div class='jdgm-histogram__percentage'>5%</div> <div class='jdgm-histogram__frequency'>(3)</div> </div>  <div class='jdgm-histogram__row' data-rating='3' data-frequency='1' data-percentage='2'>  <div class='jdgm-histogram__star' role='button' aria-label="2% (1) reviews with 3 star rating"  tabindex='0' ><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--off'></span><span class='jdgm-star jdgm--off'></span></div> <div class='jdgm-histogram__bar'> <div class='jdgm-histogram__bar-content' style='width: 2%;'> </div> </div> <div class='jdgm-histogram__percentage'>2%</div> <div class='jdgm-histogram__frequency'>(1)</div> </div>  <div class='jdgm-histogram__row' data-rating='2' data-frequency='1' data-percentage='2'>  <div class='jdgm-histogram__star' role='button' aria-label="2% (1) reviews with 2 star rating"  tabindex='0' ><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--off'></span><span class='jdgm-star jdgm--off'></span><span class='jdgm-star jdgm--off'></span></div> <div class='jdgm-histogram__bar'> <div class='jdgm-histogram__bar-content' style='width: 2%;'> </div> </div> <div class='jdgm-histogram__percentage'>2%</div> <div class='jdgm-histogram__frequency'>(1)</div> </div>  <div class='jdgm-histogram__row' data-rating='1' data-frequency='1' data-percentage='2'>  <div class='jdgm-histogram__star' role='button' aria-label="2% (1) reviews with 1 star rating"  tabindex='0' ><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--off'></span><span class='jdgm-star jdgm--off'></span><span class='jdgm-star jdgm--off'></span><span class='jdgm-star jdgm--off'></span></div> <div class='jdgm-histogram__bar'> <div class='jdgm-histogram__bar-content' style='width: 2%;'> </div> </div> <div class='jdgm-histogram__percentage'>2%</div> <div class='jdgm-histogram__frequency'>(1)</div> </div>  <div class='jdgm-histogram__row jdgm-histogram__clear-filter' data-rating=null tabindex='0'></div> </div>  <div class="jdgm-medals-wrapper jdgm-hidden"> <style type="text/css"></style> <div class="jdgm-medals" data-link="https://app.judge.me/reviews/medals"> <div class="jdgm-medals__container"> <div class="jdgm-medal-wrapper" title="Diamond Transparent Shop. Published 100% of verified reviews received in total"> <a class="jdgm-medal jdgm--loading" data-value="" data-type="tran" data-tier="diamond"> <div class="jdgm-medal__image" data-url="tran/diamond.svg" data-alt="Judge.me Diamond Transparent Shop medal"></div> </a> </div> <div class="jdgm-medal-wrapper" title="Bronze Verified Reviews Shop. Obtained at least 10 reviews submitted by genuine customers with proof of purchase history"> <a class="jdgm-medal jdgm--loading" data-value="45" data-type="ver_rev" data-tier="bronze"> <div class="jdgm-medal__image" data-url="ver_rev/bronze.svg" data-alt="Judge.me Bronze Verified Reviews Shop medal"></div> <div class="jdgm-medal__value ">45</div> </a> </div> <div class="jdgm-medal-wrapper" title="Bronze Monthly Record Shop. Achieved an all-time record of 10 published verified reviews within one calendar month."> <a class="jdgm-medal jdgm--loading" data-value="" data-type="mon_rec" data-tier="bronze"> <div class="jdgm-medal__image" data-url="mon_rec/bronze.svg" data-alt="Judge.me Bronze Monthly Record Shop medal"></div> </a> </div> <div class="jdgm-medal-wrapper" title="Top 10% Trending Shops. Top 10% trending shops that obtained and published the most verified reviews in the last 30 days"> <a class="jdgm-medal jdgm--loading" data-value="" data-type="tops_trend" data-tier="10-percent"> <div class="jdgm-medal__image" data-url="tops_trend/10-percent.svg" data-alt="Judge.me Top 10% Trending Shops medal"></div> </a> </div> </div> </div> </div> <div class='jdgm-rev-widg__sort-wrapper'></div> </div> <div class='jdgm-revs-tab__content-body'> <div class='jdgm-revs-tab__reviews'><div class='jdgm-rev jdgm-divider-top' data-verified-buyer='true' data-review-id='25ac4e54-c4b0-42d2-886f-2b85fec9a99a' data-thumb-up-count='0' data-thumb-down-count='0'> <div class='jdgm-rev__header'>  <div class='jdgm-rev__icon' > M </div>  <span class='jdgm-rev__rating' data-score='2' tabindex='0' aria-label='2 star review' role='img'> <span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--off'></span><span class='jdgm-star jdgm--off'></span><span class='jdgm-star jdgm--off'></span> </span> <span class='jdgm-rev__timestamp jdgm-spinner' data-content='2025-03-18 00:13:23 UTC'></span>  <span class='jdgm-rev__prod-info-wrapper'> <span class='jdgm-rev__prod-link-prefix'></span>  <a href='/products/november-subscription-box#judgeme_product_reviews' target='_blank' class='jdgm-rev__prod-link'> April Subscription Box </a>  </span> <div class='jdgm-rev__br'></div> <span class='jdgm-rev__buyer-badge-wrapper'>  <span class='jdgm-rev__buyer-badge'></span>  </span> <span class='jdgm-rev__author-wrapper'> <span class='jdgm-rev__author'>Michele C.</span> <span class='jdgm-rev__location' > (Australia) </span> </span> </div> <div class='jdgm-rev__content'> <div class='jdgm-rev__custom-form'>  </div> <b class='jdgm-rev__title'>Delivery delay</b> <div class='jdgm-rev__body'><p>Has not been delivered yet…. 18.3.25</p></div> <div class='jdgm-rev__pics'>  </div> <div class='jdgm-rev__vids'>   </div> </div> <div class='jdgm-rev__actions'> <div class='jdgm-rev__social'></div> <div class='jdgm-rev__votes'></div> </div> <div class='jdgm-rev__reply'>  </div> </div><div class='jdgm-rev jdgm-divider-top' data-verified-buyer='true' data-review-id='9fe48ed1-e8da-451f-8c11-84bbe6cd6278' data-thumb-up-count='0' data-thumb-down-count='0'> <div class='jdgm-rev__header'>  <div class='jdgm-rev__icon' > H </div>  <span class='jdgm-rev__rating' data-score='4' tabindex='0' aria-label='4 star review' role='img'> <span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--off'></span> </span> <span class='jdgm-rev__timestamp jdgm-spinner' data-content='2025-03-16 21:14:07 UTC'></span>  <span class='jdgm-rev__prod-info-wrapper'> <span class='jdgm-rev__prod-link-prefix'></span>  <a href='/products/sleepy-girl-mocktail-cherry#judgeme_product_reviews' target='_blank' class='jdgm-rev__prod-link'> Sleepy Girl Mocktail - Tart Cherry </a>  </span> <div class='jdgm-rev__br'></div> <span class='jdgm-rev__buyer-badge-wrapper'>  <span class='jdgm-rev__buyer-badge'></span>  </span> <span class='jdgm-rev__author-wrapper'> <span class='jdgm-rev__author'>Helen</span> <span class='jdgm-rev__location' > (Australia) </span> </span> </div> <div class='jdgm-rev__content'> <div class='jdgm-rev__custom-form'>  </div> <b class='jdgm-rev__title'>Great taste</b> <div class='jdgm-rev__body'><p>It tastes great, but is a bit hard to completely dissolve.</p></div> <div class='jdgm-rev__pics'>  </div> <div class='jdgm-rev__vids'>   </div> </div> <div class='jdgm-rev__actions'> <div class='jdgm-rev__social'></div> <div class='jdgm-rev__votes'></div> </div> <div class='jdgm-rev__reply'>  </div> </div><div class='jdgm-rev jdgm-divider-top' data-verified-buyer='true' data-review-id='59aa49fb-37c6-4803-bc79-1d64abb690b8' data-thumb-up-count='0' data-thumb-down-count='0'> <div class='jdgm-rev__header'>  <div class='jdgm-rev__icon' > A </div>  <span class='jdgm-rev__rating' data-score='1' tabindex='0' aria-label='1 star review' role='img'> <span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--off'></span><span class='jdgm-star jdgm--off'></span><span class='jdgm-star jdgm--off'></span><span class='jdgm-star jdgm--off'></span> </span> <span class='jdgm-rev__timestamp jdgm-spinner' data-content='2025-03-16 05:26:05 UTC'></span>  <span class='jdgm-rev__prod-info-wrapper'> <span class='jdgm-rev__prod-link-prefix'></span>  <a href='/products/magnesium-sparkling-water-triple-pack#judgeme_product_reviews' target='_blank' class='jdgm-rev__prod-link'> Magnesium Sparkling Water - Triple Pack of 24 </a>  </span> <div class='jdgm-rev__br'></div> <span class='jdgm-rev__buyer-badge-wrapper'>  <span class='jdgm-rev__buyer-badge'></span>  </span> <span class='jdgm-rev__author-wrapper'> <span class='jdgm-rev__author'>April W.</span> <span class='jdgm-rev__location' > (Australia) </span> </span> </div> <div class='jdgm-rev__content'> <div class='jdgm-rev__custom-form'>  </div> <b class='jdgm-rev__title'>Not a fan</b> <div class='jdgm-rev__body'><p>I was looking forward to these drinks but they are hard to drink with very little flavour. Maybe if I add lemon or something might help.</p></div> <div class='jdgm-rev__pics'>  </div> <div class='jdgm-rev__vids'>   </div> </div> <div class='jdgm-rev__actions'> <div class='jdgm-rev__social'></div> <div class='jdgm-rev__votes'></div> </div> <div class='jdgm-rev__reply'>  <div class='jdgm-rev__replier-wrapper'> <b class='jdgm-rev__replier'></b> </div> <div class='jdgm-rev__reply-content'><p>Hi April, we’re truly sorry to hear that the flavour didn’t meet your expectations, and its important we publish the negative reviews like this, with the positive (NB. we dont get many negatives..!)</p>
+
+<p>We know our flavours dont appeal to 100% of people (does any flavour on earth appeal to everyone?), but we will be restocking Cherry soon, as well as introducing a new flavour in the coming weeks. Perhaps these might be more to your palate?</p>
+
+<p>We hope to win you back!</p>
+
+<p>Warm regards,</p>
+
+<p>The Heylo Team</p></div>  </div> </div><div class='jdgm-rev jdgm-divider-top' data-verified-buyer='true' data-review-id='d869fe4c-c18b-4cdf-bc3d-66a57ab69a0e' data-thumb-up-count='1' data-thumb-down-count='0'> <div class='jdgm-rev__header'>  <div class='jdgm-rev__icon' > L </div>  <span class='jdgm-rev__rating' data-score='5' tabindex='0' aria-label='5 star review' role='img'> <span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--on'></span> </span> <span class='jdgm-rev__timestamp jdgm-spinner' data-content='2025-03-07 20:15:08 UTC'></span>  <span class='jdgm-rev__prod-info-wrapper'> <span class='jdgm-rev__prod-link-prefix'></span>  <a href='/products/magnesium-sampler-bundle#judgeme_product_reviews' target='_blank' class='jdgm-rev__prod-link'> Magnesium Sampler Bundle </a>  </span> <div class='jdgm-rev__br'></div> <span class='jdgm-rev__buyer-badge-wrapper'>  <span class='jdgm-rev__buyer-badge'></span>  </span> <span class='jdgm-rev__author-wrapper'> <span class='jdgm-rev__author'>Leanne D.</span> <span class='jdgm-rev__location' > (Australia) </span> </span> </div> <div class='jdgm-rev__content'> <div class='jdgm-rev__custom-form'>  </div> <b class='jdgm-rev__title'>Very refreshing</b> <div class='jdgm-rev__body'><p>Loved all flavours. Very refreshing and just a slight hint of taste with the lemon and blackcurrant. The plain was just as nice. Have placed my second order for 24 cans.</p></div> <div class='jdgm-rev__pics'>  </div> <div class='jdgm-rev__vids'>   </div> </div> <div class='jdgm-rev__actions'> <div class='jdgm-rev__social'></div> <div class='jdgm-rev__votes'></div> </div> <div class='jdgm-rev__reply'>  </div> </div><div class='jdgm-rev jdgm-divider-top' data-verified-buyer='true' data-review-id='82bb8afb-dc6c-4d7e-83ad-9023390cfbfa' data-thumb-up-count='0' data-thumb-down-count='0'> <div class='jdgm-rev__header'>  <div class='jdgm-rev__icon' > D </div>  <span class='jdgm-rev__rating' data-score='4' tabindex='0' aria-label='4 star review' role='img'> <span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--on'></span><span class='jdgm-star jdgm--off'></span> </span> <span class='jdgm-rev__timestamp jdgm-spinner' data-content='2025-02-26 10:05:29 UTC'></span>  <span class='jdgm-rev__prod-info-wrapper'> <span class='jdgm-rev__prod-link-prefix'></span>  <a href='/products/magnesium-sampler-bundle#judgeme_product_reviews' target='_blank' class='jdgm-rev__prod-link'> Magnesium Sampler Bundle </a>  </span> <div class='jdgm-rev__br'></div> <span class='jdgm-rev__buyer-badge-wrapper'>  <span class='jdgm-rev__buyer-badge'></span>  </span> <span class='jdgm-rev__author-wrapper'> <span class='jdgm-rev__author'>Di C.</span> <span class='jdgm-rev__location' > (Australia) </span> </span> </div> <div class='jdgm-rev__content'> <div class='jdgm-rev__custom-form'>  </div> <b class='jdgm-rev__title'></b> <div class='jdgm-rev__body'><p>Magnesium Sampler Bundle</p></div> <div class='jdgm-rev__pics'>  </div> <div class='jdgm-rev__vids'>   </div> </div> <div class='jdgm-rev__actions'> <div class='jdgm-rev__social'></div> <div class='jdgm-rev__votes'></div> </div> <div class='jdgm-rev__reply'>  </div> </div></div> <div class='jdgm-spinner jdgm-revs-tab__spinner' style='display: none'> </div> <div class='jdgm-paginate' data-per-page='5' data-url='https://api.judge.me/reviews/reviews_for_reviews_tab' ><a class='jdgm-btn jdgm-btn--solid jdgm-paginate__load-more' data-page='2' role='button'>Load More</a></div> </div> </div> </div> </section>
+</section>
+
+
+</div><!-- Failed to render app block "18228966181090706294": app block path "shopify://apps/selleasy/blocks/app-embed/790c1a03-a71f-4bc1-9869-00dad526d3c2" does not exist --><div id="shopify-block-Aenh1NWExaGprVXFIQ__16156609502398088594" class="shopify-block shopify-app-block"><!-- BEGIN app snippet: omega_multi_pixel --><div class='ot-multi-pixel'></div>
+
+
+
+<script>
+    var arrayFBPixelTrack = [];
+    function otGetMetaAttribute(property) {
+        const metaElement = document.querySelector(
+            `meta[property='omega:${property}']`,
+        );
+        const content = metaElement
+            ? metaElement.getAttribute('content')
+            : null;
+        return content && content !== '' ? content.split(',') : [];
+    }
+
+    var metaCollection = otGetMetaAttribute('collections');
+    var metaProduct = otGetMetaAttribute('product');
+    var metaTag = otGetMetaAttribute('tags');
+    var metaType = otGetMetaAttribute('product_type');
+</script>
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+            <script>
+                if (! arrayFBPixelTrack.includes(943908342670049)) {
+                  arrayFBPixelTrack.push('943908342670049');
+
+                }
+            </script>
+
+
+
+
+
+
+
+            <script>
+                var fbPixelData = JSON.parse(`{"pixels":[{"id":166339,"pixel_id":"943908342670049","shop":"heylo-australia.myshopify.com","title":"Ally Mellor's Pixel","status":1,"isMaster":1,"is_conversion_api":1,"test_event_code":"","status_synced":0,"first_capi_enabled_at":"2024-11-19 04:21:20","created_at":"2024-11-19 04:21:20","updated_at":"2024-11-19 10:07:08","market_id":"97834","mapping_collections":[],"mapping_products":[],"mapping_tags":[],"mapping_types":[]}]}`);
+                var pixels =
+                    fbPixelData && fbPixelData.pixels.length
+                        ? fbPixelData.pixels
+                        : [];
+                function arrayContainsMapping(metaMappings, mappings) {
+                    mappings = mappings.toString();
+                    var isCheckMapping = false;
+                    if (mappings.trim().length && metaMappings.length) {
+                        for (let i = 0; i < metaMappings.length; i++) {
+                            if (
+                                metaMappings[i].trim() !== '' &&
+                                mappings.includes(metaMappings[i].trim())
+                            ) {
+                                isCheckMapping = true;
+                                break;
+                            }
+                        }
+                    }
+                    return isCheckMapping;
+                }
+
+                function checkPixelSelectedPage(pixel) {
+                    let checkCollection = arrayContainsMapping(
+                        metaCollection,
+                        pixel.mapping_collections ?? [],
+                    );
+                    let checkProduct = arrayContainsMapping(
+                        metaProduct,
+                        pixel.mapping_products ?? [],
+                    );
+                    let checkTag = arrayContainsMapping(
+                        metaTag,
+                        pixel.mapping_tags ?? [],
+                    );
+                    let checkType = arrayContainsMapping(
+                        metaType,
+                        pixel.mapping_types ?? [],
+                    );
+                    if (
+                        checkCollection ||
+                        checkProduct ||
+                        checkTag ||
+                        checkType
+                    ) {
+                        return true;
+                    }
+                    return false;
+                }
+                for (let i = 0; i < pixels.length; i++) {
+                    const isPixelExistInArrayTracking =
+                        arrayFBPixelTrack.includes(+pixels[i].pixel_id) ||
+                        arrayFBPixelTrack.includes(pixels[i].pixel_id) ||
+                        arrayFBPixelTrack.includes('' + pixels[i].pixel_id);
+                    if (!isPixelExistInArrayTracking) {
+                        if (pixels[i].isMaster == 1) {
+                            arrayFBPixelTrack.push(`${pixels[i].pixel_id}`);
+                        } else if (
+                            pixels[i].isMaster == 0 &&
+                            checkPixelSelectedPage(pixels[i])
+                        ) {
+                            arrayFBPixelTrack.push(`${pixels[i].pixel_id}`);
+                        } else if (
+                            pixels[i].isMaster == 2 &&
+                            !checkPixelSelectedPage(pixels[i])
+                        ) {
+                            arrayFBPixelTrack.push(`${pixels[i].pixel_id}`);
+                        }
+                    }
+                }
+            </script>
+
+
+
+
+
+
+            <script>
+                var omegaFBSettings = [];
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+            </script>
+
+
+
+<script>
+    var customStoreSubHostA = atob('bWFuemFyYS1ldS5teXNob3BpZnkuY29t');
+    var customStoreSubHostB = atob('ZWI5Yzk1LTM4Lm15c2hvcGlmeS5jb20=');
+
+    if (
+        Shopify &&
+        (Shopify.shop == customStoreSubHostA ||
+            Shopify.shop == customStoreSubHostB)
+    ) {
+        let pixelConvert = [];
+        const base64String =
+            Shopify.shop == customStoreSubHostA
+                ? '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'
+                : Shopify.shop == customStoreSubHostB
+                ? 'eyJ3b29kZm9vdHdlYXJzaG9wLmNvbSI6IjkwNTIxOTQwNDgxMTQxOCIsIndvb2RzaG9wLnB0IjoiMTIwNzk2MDgzOTg4NzU5OCJ9'
+                : '';
+        const jsonString = atob(base64String);
+        const data = JSON.parse(jsonString);
+        for (let key in data) {
+            if (window.location.href.includes(key)) {
+                pixelConvert.push(data[key]);
+            }
+        }
+        arrayFBPixelTrack = pixelConvert;
+    }
+</script>
+
+
+
+
+<!-- END app snippet --><script
+  type="text/javascript"
+  src="https://cdn.shopify.com/extensions/1cebccc0-3619-4145-ba77-ce0141f5e949/omega-facebook-pixel-154/assets/facebook-pixel.js"
+  defer
+></script>
+<script
+  type="text/javascript"
+  src="https://cdn.shopify.com/extensions/1cebccc0-3619-4145-ba77-ce0141f5e949/omega-facebook-pixel-154/assets/facebook-pixel-worker.js"
+  defer
+></script>
+
+
+</div><div id="shopify-block-AY3pVa3ZJR0E3aHF6e__10436698916776057164" class="shopify-block shopify-app-block"><script id="subscription-helper">
+
+        if (!window.AppstleIncluded) {
+          window.AppstleIncluded = true;
+          window.RS = Window.RS || {};
+          RS.Config = {
+            "selectors": {
+                "payment_button_selectors": "form[action$='/cart/add'] .shopify-payment-button",
+                "subscriptionLinkSelector": "#MainContent > div > div:nth-child(2) > div:nth-child(2) > h2",
+                "atcButtonPlacement": "BEFORE",
+                "subscriptionLinkPlacement": "BEFORE",
+                "cartRowSelector": "[id^=CartItem].cart-item\n",
+                "cartLineItemSelector": ".cart-item__name.h4.break",
+                "cartLineItemPerQuantityPriceSelector": ".cart-item__price-wrapper",
+                "cartLineItemTotalPriceSelector": "",
+                "cartLineItemSellingPlanNameSelector": "",
+                "cartSubTotalSelector" : ".totals__subtotal-value",
+                "cartLineItemPriceSelector": "",
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+                "cartHiddenAttributesSelector": "",
+                "buildABoxDiscountSelector": "",
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+            "useUrlWithCustomerId": "true",
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+            "disableCartWidgetOnVariants": "",
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+            "subscriptionOptionText": "Subscribe and save 10%",
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+            "subscriptionPriceDisplayText": "",
+            "tooltipTitle": "Subscription detail",
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+            "tooltipDescriptionOnPrepaidPlan": "<b>Prepaid Plan Details<\/b><\/br> Total price: {{totalPrice}} ( Price for every delivery: {{pricePerDelivery}})",
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+            "tooltipDescriptionCustomization": "{{{defaultTooltipDescription}}} <\/br>  {{{prepaidDetails}}} <\/br> {{{discountDetails}}}",
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weeks","discountOffer":10.0,"afterCycle1":0,"discountType":"PERCENTAGE","discountEnabled":true,"discountEnabledMasked":true,"id":"gid://shopify/SellingPlan/690334597409","frequencyType":"ON_PURCHASE_DAY","specificDayEnabled":false,"minCycles":1,"cutOff":0,"prepaidFlag":"false","idNew":"gid://shopify/SellingPlan/690334597409","planType":"PAY_AS_YOU_GO","deliveryPolicyPreAnchorBehavior":"ASAP","freeTrialEnabled":false,"formFieldJson":"[]","frequencySequence":5,"groupName":"Subscribe and Save 10%","groupId":77826883873,"repeatingCycle":false,"inventoryPolicyReserve":"ON_SALE","appstleCycles":[]}],
+            "widgetEnabled": true,
+            "showTooltip" : true,
+            "showCartWidgetOnBundleItems" : false,
+            "disablePassingSellingPlanAsLineProperties" : false,
+            "sortByDefaultSequence": false,
+            "showSubOptionBeforeOneTime": false,
+            "detectVariantFromURLParams": false,
+            "disableQueryParamsUpdate": false,
+            "showStaticTooltip": false,
+            "showAppstleLink": true,
+            "sellingPlanTitleText" : "Subscribe and save 10%",
+            "oneTimePriceText" : "{{price}}",
+            "selectedPayAsYouGoSellingPlanPriceText" : "{{price}}",
+            "selectedPrepaidSellingPlanPriceText" : " {{totalPrice}}",
+            "selectedDiscountFormat" : "SAVE {{selectedDiscountPercentage}}",
+            "manageSubscriptionBtnFormat" : "<a href='\/apps\/subscriptions' class='appstle_manageSubBtn' ><button class='btn' style='padding: 2px 20px'>Manage Subscription<\/button><\/a><br><br>",
+            "manageSubscriptionUrl" : "https:\/\/heylomg.au\/apps\/subscriptions",
+            "appstlePlanId": 163,
+            "showCheckoutSubscriptionBtn": true,
+            "priceSelector": "span.price-item.price-item--regular",
+            "reloadPriceSelector": "",
+            "landingPagePriceSelector": "",
+            "quickViewClickSelector": ".quick-add.no-js-hidden",
+            "badgeTop": "",
+            "pricePlacement": "BEFORE",
+            "disableLoadingJquery": false,
+            "widgetEnabledOnSoldVariant": "false",
+            "switchRadioButtonWidget": false,
+            "appstlePlanName": "BUSINESS",
+            "appstlePlanFeatures": { "accessAdvancedCustomerPortalSettings": true, "accessAdvanceSubscriptionPlanOptions": true, "accessAppstleMenu": true, "accessBuildABox": true, "accessBundling": true, "accessDiscountOnCancellationAttempt": true, "accessGorgiasIntegration": true, "accessKlaviyoContactSync": true, "accessKlaviyoEmailIntegration": true, "accessManualSubscriptionCreation": true, "accessMechanicsIntegration": true, "accessOneTimeProductUpsells": true, "accessQuickCheckout": false, "accessResendEmail": true, "accessShopifyFlowIntegration": false, "accessSplitContract": true, "accessSubscriberLoyaltyFeatures": true, "accessSubscriptionActivityLogs": true, "accessWidgetDesignOptions": true, "accessZapierIntegration": false, "analytics": true, "enableAdvancedSellingPlans": true, "enableAutomation": false, "enableAutoSync": false, "enableBundling": true, "enableCancellationManagement": true, "enableCartWidget": true, "enableCustomEmailDomain": false, "enableCustomEmailHtml": true, "enableCustomerPortalSettings": true, "enableDunningManagement": true, "enableExternalApi": false, "enableIntegrations": true, "enableProductSwapAutomation": false, "enableQuickActions": false, "enableShippingProfiles": true, "enableSmsAlert": true, "enableSubscriptionManagement": true, "enableSummaryReports": true, "enableWidgetPlacement": true, "subscriptionOrderAmount": 30000, "webhookAccess": false, "enableExportActivityLog": false, "enableAddToExistingSubscription": false, "enableTrackInventoryInSingleBAB": false, "enableAdminNotificationAccess": true },
+            "formMappingAttributeName": "",
+            "formMappingAttributeSelector": "",
+            "quickViewModalPollingSelector": ".product-form__buttons",
+            "scriptLoadDelay": "0",
+            "formatMoneyOverride": "false",
+            "enableAddToExistingSubscriptionFeature": "false",
+            "displayAddToExistingSubscriptionButtonForNotLoggedInV2": "",
+            "showAddToSubscriptionButtonOnlyOnSubscriptionProducts": "false",
+            "appstle_app_proxy_path_prefix": "apps\/subscriptions",
+            "updatePriceOnQuantityChange": "true",
+            "widgetParentSelector": ".product__info-wrapper",
+            "quantitySelector": "",
+            "enableAddJSInterceptor": "false",
+            "isDevEnabled": false,
+            "forceReloadWidgetSelector": "",
+            "forceReloadOnFreqChange": false,
+            "showPrepaidPlanSeparately": true,
+            "debugLogsEnabled": false,
+            "isUseStorefrontAPI": true,
+            "storeFrontAccessToken": "0dc82508649c5f5366fd4a8444c49831",
+            "reBuyEnabled": "false",
+            "loyaltyDetailsLabelText": "Subscriber Rewards",
+            "loyaltyPerkDescriptionText": "",
+            "widgetType": "WIDGET_TYPE_2",
+            "showOneTimeComparePrice": false,
+            "showCombinedSellingPlanCartWidget": false,
+            "combinedCartWidgetSelector": "",
+            "removeUnsubscribeOption": false,
+            "widgetTemplateHtml": `{% raw %}{% endraw %}`,
+
+              "allWidgetTemplateHtml": "{\"WIDGET_TYPE_1\":\"{% raw %}{% endraw %}\",\"WIDGET_TYPE_6\":\"{% raw %}<div id=\\\"appstle-widget-template\\\">\\n  <div class=\\\"appstle_sub_widget\\\" id=\\\"appstle_subscription_widget{{widgetId}}\\\">\\n<div class=\\\"appstle_widget_title\\\">{{{purchaseOptionsText}}}</div>\\n      <div class=\\\"widgetSellingPlanWrapper\\\">\\n{{^requires_selling_plan}}\\n{{^showSubOptionBeforeOneTime}}\\n        <div class=\\\"appstle_input_wrapper appstle_onetime_block\\\">\\n          <input type=\\\"radio\\\" id=\\\"appstle_selling_plan_label_1{{widgetId}}\\\" name=\\\"selling_plan\\\" value=\\\"\\\" class=\\\"appstleSellingPlan{{widgetId}}\\\" {{^subscriptionOptionSelectedDefault}}checked{{/subscriptionOptionSelectedDefault}}>\\n          <label for=\\\"appstle_selling_plan_label_1{{widgetId}}\\\">\\n<div class=\\\"appstle-selling-plan-name-wrapper\\\">\\n            {{oneTimePuchaseText}}\\n<div class=\\\"appstle-cancel-text\\\">{{{noSubscriptionLabelTextV2}}}</div>\\n</div>\\n      <div class=\\\"appstle-selling-plan-detail-wrapper\\\">\\n<div class=\\\"appstle_span_wrapper\\\">\\n{{#showOneTimeComparePrice}}\\n<span class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_onetime_amount_compare\\\">\\n  {{{oneTimePuchaseComparePriceAmount}}}\\n</span>\\n{{/showOneTimeComparePrice}}\\n\\n<span  class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_onetime_amount\\\">{{{oneTimePuchaseAmount}}}</span></div>\\n</div>\\n          </label>\\n          \\n        </div>\\n{{/showSubOptionBeforeOneTime}}\\n{{/requires_selling_plan}}\\n        {{#sellingPlanVariants}}\\n           <div class=\\\"appstle_input_wrapper\\\">\\n    \\n             <input type=\\\"radio\\\" class=\\\"appstleSellingPlan{{widgetId}}\\\" id=\\\"{{sellingPlanId}}\\\" value=\\\"{{sellingPlanId}}\\\" name=\\\"selling_plan\\\" {{#isChecked}}checked{{/isChecked}}>\\n{{^prepaidFlag}}\\n             <label for=\\\"{{sellingPlanId}}\\\">\\n<div class=\\\"appstle-selling-plan-name-wrapper appstle-selling-plan-label-name\\\">\\n                {{{name}}}\\n<div class=\\\"appstle-cancel-text\\\">{{{cancelAnytimeLabelTextV2}}}</div>\\n</div>\\n<div class=\\\"appstle-selling-plan-detail-wrapper\\\">\\n<div class=\\\"appstle_span_wrapper\\\">\\n       <span class=\\\"appstle_lowercase appstle_sellingPlan_formattedCompareAtPrice appstle_price_block\\\">{{{formattedCompareAtPrice}}}</span>\\n        <span class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_price_block\\\">{{{formattedPrice}}}</span>\\n\\n\\n</div>   \\n<span class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_formattext_block\\\"></span>\\n{{#showPricePerDay}}<div class=\\\"appstle-perday-price\\\">{{{pricePerDay}}}</div>{{/showPricePerDay}}\\n<div class=\\\"appstle-frequency-description\\\">\\n{{{frequencyDescription}}}    \\n</div>\\n     </div>\\n </label>\\n{{#showFormattedDiscountText}}\\n  <span class=\\\"appstle_sellingPlan_discountText\\\">{{{formattedDiscountText}}}</span>\\n{{/showFormattedDiscountText}}\\n<div class=\\\"appstle-sm-hide  appstle-frequency-description\\\">{{{frequencyDescription}}} </div>     \\n{{/prepaidFlag}}\\n{{#prepaidFlag}}\\n<label for=\\\"{{sellingPlanId}}\\\">\\n<div class=\\\"appstle-selling-plan-name-wrapper appstle-selling-plan-label-name\\\">\\n                {{{name}}}\\n<div class=\\\"appstle-cancel-text\\\">{{{cancelAnytimeLabelTextV2}}}</div>\\n</div>\\n<div class=\\\"appstle-selling-plan-detail-wrapper\\\">\\n<div class=\\\"appstle_span_wrapper\\\">\\n       <span class=\\\"appstle_lowercase appstle_sellingPlan_formattedCompareAtPrice appstle_price_block\\\">{{{formattedCompareAtPrice}}}</span>\\n        <span class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_price_block\\\">{{{totalPrice}}}</span>\\n\\n</div>  \\n<span class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_discount_block appstle_formattedPrepaidPerDeliveryPriceText\\\">{{{formattedPrepaidPerDeliveryPriceText}}}</span>\\n       {{#showPricePerDay}}<div class=\\\"appstle-perday-price\\\">{{{pricePerDay}}}</div>{{/showPricePerDay}}\\n<div class=\\\"\\\">\\n<div class=\\\"appstle-frequency-description\\\">\\n{{{frequencyDescription}}}    \\n</div>\\n</div>\\n</div>\\n</label>\\n{{#showFormattedDiscountText}}\\n  <span class=\\\"appstle_sellingPlan_discountText\\\">{{{formattedDiscountText}}}</span>\\n{{/showFormattedDiscountText}}\\n<div class=\\\"appstle-sm-hide  appstle-frequency-description\\\">{{{frequencyDescription}}} </div>     \\n\\n{{/prepaidFlag}}\\n      \\n           </div>\\n        {{/sellingPlanVariants}}\\n{{^requires_selling_plan}}\\n{{#showSubOptionBeforeOneTime}}\\n        <div class=\\\"appstle_input_wrapper appstle_onetime_block\\\">\\n          <input type=\\\"radio\\\" id=\\\"appstle_selling_plan_label_1{{widgetId}}\\\" name=\\\"selling_plan\\\" value=\\\"\\\" class=\\\"appstleSellingPlan{{widgetId}}\\\" {{^subscriptionOptionSelectedDefault}}checked{{/subscriptionOptionSelectedDefault}}>\\n          <label for=\\\"appstle_selling_plan_label_1{{widgetId}}\\\">\\n<div  class=\\\"appstle-selling-plan-name-wrapper\\\">\\n            {{oneTimePuchaseText}}\\n<div class=\\\"appstle-cancel-text\\\">{{{noSubscriptionLabelTextV2}}}</div>\\n</div>\\n<div class=\\\"appstle-selling-plan-detail-wrapper\\\">\\n<span  class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_onetime_amount_compare\\\">{{{oneTimePuchaseComparePriceAmount}}}</span>\\n      <span  class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_onetime_amount\\\">{{{oneTimePuchaseAmount}}}</span>\\n\\n</div>\\n          </label>\\n          \\n        </div>\\n{{/showSubOptionBeforeOneTime}}\\n{{/requires_selling_plan}}\\n    </div>\\n{{#showStaticTooltip}}\\n<div class=\\\"appstle_tooltip_wrapper_static\\\"> {{{toolTipDescription}}}</div>\\n{{/showStaticTooltip}}\\n{{#showTooltip}}\\n\\n    <div data-appstle-icon=\\\"\\\" class=\\\"appstle_tooltip_wrapper\\\">\\n    <svg width=\\\"90\\\" height=\\\"90\\\" viewBox=\\\"0 0 90 90\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" class=\\\"tooltip_subscription_svg\\\">\\n    <path\\n      d=\\\"M45 0C20.1827 0 0 20.1827 0 45C0 69.8173 20.1827 90 45 90C69.8173 90 90 69.8174 90 45C90.0056 44.6025 89.9322 44.2078 89.7839 43.8389C89.6357 43.47 89.4156 43.1342 89.1365 42.8511C88.8573 42.568 88.5247 42.3432 88.158 42.1897C87.7912 42.0363 87.3976 41.9573 87 41.9573C86.6024 41.9573 86.2088 42.0363 85.842 42.1897C85.4753 42.3432 85.1427 42.568 84.8635 42.8511C84.5844 43.1342 84.3643 43.47 84.2161 43.8389C84.0678 44.2078 83.9944 44.6025 84 45C84 66.5748 66.5747 84 45 84C23.4253 84 6 66.5747 6 45C6 23.4254 23.4253 6 45 6C56.1538 6 66.3012 10.5882 73.4375 18H65.4062C65.0087 17.9944 64.614 18.0678 64.2451 18.2161C63.8762 18.3643 63.5405 18.5844 63.2573 18.8635C62.9742 19.1427 62.7494 19.4753 62.596 19.842C62.4425 20.2088 62.3635 20.6024 62.3635 21C62.3635 21.3976 62.4425 21.7912 62.596 22.158C62.7494 22.5247 62.9742 22.8573 63.2573 23.1365C63.5405 23.4156 63.8762 23.6357 64.2451 23.7839C64.614 23.9322 65.0087 24.0056 65.4062 24H79.8125C80.6081 23.9999 81.3711 23.6838 81.9337 23.1212C82.4963 22.5586 82.8124 21.7956 82.8125 21V6.59375C82.821 6.18925 82.7476 5.78722 82.5966 5.41183C82.4457 5.03644 82.2205 4.69545 81.9344 4.40936C81.6483 4.12327 81.3073 3.898 80.9319 3.7471C80.5565 3.5962 80.1545 3.52277 79.75 3.53125C79.356 3.53941 78.9675 3.62511 78.6067 3.78344C78.2458 3.94177 77.9197 4.16963 77.6469 4.45402C77.3741 4.73841 77.16 5.07375 77.0168 5.44089C76.8737 5.80803 76.8042 6.19977 76.8125 6.59375V12.875C68.6156 4.86282 57.3081 0 45 0ZM43.75 20.75C43.356 20.7582 42.9675 20.8439 42.6067 21.0022C42.2458 21.1605 41.9197 21.3884 41.6469 21.6728C41.3741 21.9572 41.16 22.2925 41.0168 22.6596C40.8737 23.0268 40.8042 23.4185 40.8125 23.8125V47.375C40.8116 47.7693 40.8883 48.16 41.0385 48.5246C41.1886 48.8892 41.4092 49.2207 41.6875 49.5L54.0938 61.9375C54.6573 62.5011 55.4217 62.8177 56.2188 62.8177C57.0158 62.8177 57.7802 62.5011 58.3438 61.9375C58.9073 61.3739 59.224 60.6095 59.224 59.8125C59.224 59.0155 58.9073 58.2511 58.3438 57.6875L46.8125 46.1875V23.8125C46.821 23.408 46.7476 23.006 46.5966 22.6306C46.4457 22.2552 46.2205 21.9142 45.9344 21.6281C45.6483 21.342 45.3073 21.1168 44.9319 20.9658C44.5565 20.8149 44.1545 20.7415 43.75 20.75Z\\\"\\n    ></path>\\n    </svg>\\n    <span class=\\\"appstle_tooltip_title\\\">{{{tooltipTitle}}}</span>\\n  </div>\\n<div class=\\\"appstle_tooltip\\\">\\n    <div class=\\\"appstle_tooltip_content\\\">\\n      {{{toolTipDescription}}}\\n    </div>\\n    {{#showAppstleLink}}\\n    <div class=\\\"appstle_tooltip_appstle\\\">\\n      <a href=\\\"https://appstle.com\\\" class=\\\"appstle_link\\\" target=\\\"_blank\\\">\\n      POWERED BY APPSTLE      </a>\\n    </div>\\n    {{/showAppstleLink}}\\n    </div>\\n{{/showTooltip}}\\n<style>\\n.widgetSellingPlanWrapper {\\n    display: grid;\\n    grid-template-columns: repeat(2, minmax(0, 1fr));\\n    gap: 1.5rem;\\n    grid-auto-rows: 1fr;\\n    margin-bottom: 6px;\\nmargin-top: 10px;\\n}\\n\\n.widgetSellingPlanWrapper input {\\n    display: none;\\n}\\n\\n.widgetSellingPlanWrapper label {\\n    border-radius: 10px;\\n    border: 1px solid rgba(var(--color-foreground));\\n    padding: 0.5rem;\\n    display: flex;\\n    justify-content: center;\\n    align-items: center;\\n    display: block;\\n    height: 100%;\\n    width: 100%;\\n    text-align: center;\\ncursor: pointer;\\n}\\n\\n.widgetSellingPlanWrapper input:checked+label {\\n    background-color: rgba(var(--color-foreground)) !important;\\ncolor: rgba(var(--color-background)) !important;\\n}\\n.appstle_lowercase {\\n    text-transform: lowercase;\\n}\\n\\n\\n.appstle_input_wrapper {\\n    position: relative;\\n}\\n\\nspan.appstle_sellingPlan_discountText {\\n    position: absolute;\\n    background: rgba(var(--color-foreground));\\n    color: rgba(var(--color-background));\\n    border-radius: 3px;\\n    padding: 1px 18px;\\n    left: 50%;\\n    display: block;\\n    transform: translate(-50%, -50%);\\n    white-space: nowrap;\\n}\\n\\nspan.appstle_sellingPlan_discountText:empty {\\n    display: none !important;\\n}\\ndiv.appstle_span_wrapper{\\n\\tdisplay: flex;\\n\\tjustify-content: center;\\n}\\n</style>\\n<style>\\n.widgetSellingPlanWrapper {\\n    grid-template-columns: repeat(3, minmax(0, 1fr)) !important;\\n   gap: 0.8rem !important;\\n}\\n\\n.appstle_sub_widget {\\n    max-width: 100%!important;\\n} \\n\\n.widgetSellingPlanWrapper label {\\n    height: auto !important;\\n    border: none !important;\\n    padding: 14px 5px !important;\\n    display: flex !important;\\n    justify-content: center !important;\\n    align-items: center !important;\\n    flex-direction: column;\\n    max-width: 100% !important;\\n    width: unset !important;\\nline-height: 20px;\\n}\\n\\n.appstle_how_does_it_work {\\n    line-height: 16px !important;\\n    margin: 6px 0px;\\n    color: rgba(var(--color-background));\\n}\\n@media screen and (max-width: 800px) {\\n    .appstle_how_does_it_work {\\n        text-align: right;\\n    }\\n}\\n\\nspan.appstle_lowercase.appstle_sellingPlan_price.appstle_formattext_block {\\ntext-align: right !important;\\n    display: block;\\n}\\n\\n.appstle_span_wrapper {\\n    align-items: baseline;\\n}\\n\\nspan.appstle_lowercase.appstle_sellingPlan_price.appstle_discount_block.appstle_formattedPrepaidPerDeliveryPriceText {\\n    display: block;\\n    text-align: right;\\n}\\n\\n.appstle_input_wrapper {\\n    display: flex;\\n    height: 100% !important;\\nflex-direction: column;\\n}\\n\\n.appstle_sub_widget input[type=radio]+label:before {\\n    content: \\\"\\\";\\n    position: absolute;\\n    inset: 0;\\n    border-radius: 12px;\\n    padding: 2px;\\n    background: #121212;\\n    -webkit-mask: linear-gradient(#fff 0 0) content-box,linear-gradient(#fff 0 0);\\n    -webkit-mask-composite: xor;\\n    mask-composite: exclude;\\n    pointer-events: none;\\n    z-index: 0;\\n    transition: all 0.2s;\\n}\\n\\n.appstle_sub_widget input[type=radio]:checked+label:before {\\n    content: \\\"\\\";\\n    position: absolute;\\n    inset: 0;\\n    border-radius: 12px;\\n //   padding: 4px;\\n// background: linear-gradient(to right,#Fef58f,#7A3900);\\n//background: #E53D29;\\n  border: 2px transparent;\\n    -webkit-mask: linear-gradient(#fff 0 0) content-box,linear-gradient(#fff 0 0);\\n    -webkit-mask-composite: xor;\\n    mask-composite: exclude;\\n    pointer-events: none;\\n    z-index: 0;\\n}\\n\\nspan.appstle_sellingPlan_discountText {\\n    background: rgba(var(--color-foreground));\\n    border-radius: 100px !important;\\n    padding: 0px 8px !important;\\n    height: 20px;\\n    display: flex !important;\\n    justify-content: center;\\n    align-items: center;\\n    letter-spacing: 1px;\\nz-index: 2;\\n}\\nspan.appstle_lowercase.appstle_sellingPlan_price.appstle_onetime_amount_compare {\\ntext-decoration: line-through;\\n}\\n\\n\\nspan.appstle-popular {\\n    position: absolute;\\n    top: -40px;\\n    background: black;\\n    color: rgba(var(--color-background));\\n    z-index: -3;\\n    border-radius: 10px;\\n    padding: 0px 10px 29px 10px;\\nleft: 0;\\n}\\n\\n.widgetSellingPlanWrapper label {\\n    border-radius: 14px;\\n}\\n\\n.widgetSellingPlanWrapper input:checked+label {\\n    overflow: hidden;\\n}\\n\\n\\n.appstle-perday-price {\\ndisplay: none;\\n}\\n\\n    .widgetSellingPlanWrapper {\\n    grid-template-columns: repeat(1, minmax(0, 1fr)) !important;\\n}\\n\\n.widgetSellingPlanWrapper label {\\n    flex-direction: row;\\n    justify-content: space-between !important;\\n    align-items: flex-start !important;\\nwidth: 100% !important;\\n}\\n\\n.widgetSellingPlanWrapper label {\\n    text-align: left;\\n    padding: 16px !important;\\nflex-basis: unset;\\n}\\n\\n.appstle_span_wrapper {\\n    justify-content: flex-end !important;\\n}\\n\\n.appstle-perday-price {\\n    text-align: right;\\n}\\n\\n.widgetSellingPlanWrapper {\\n    gap: 15px !important;\\n}\\n\\nspan.appstle-popular {\\n    width: calc(100% - 20px);\\n    text-align: center;\\n    letter-spacing: 2px;\\n    top: -30px;\\nleft: 0;\\n}\\n\\nspan.appstle_sellingPlan_discountText {    \\nleft: unset !important;\\n    right: 15px;\\n    transform: translate(0, -50%) !important;\\n}\\n.appstle-cancel-text {\\n    text-align: left;\\n}\\n\\n.appstle_input_wrapper label {\\n    text-align: left !important;\\n}\\n\\n.widgetSellingPlanWrapper input:checked+label {\\n    width: 100% !important;\\n    margin: 0 !important;\\n}\\n.appstle_input_wrapper {\\n    width: 100% !important;\\nflex-direction: row;\\n}\\n.widgetSellingPlanWrapper input:checked+label+span {\\n    background: rgba(var(--color-background)) !important;\\n    color:rgba(var(--color-foreground)) !important;\\n    border: 2px solid rgba(var(--color-foreground));\\n}\\n.appstle_onetime_block .appstle_span_wrapper {\\n    grid-column: 2;\\n}\\n.appstle-frequency-description {\\n  text-align: right !important;\\n}\\n\\n\\n.appstle-sm-hide {\\n  display: none;\\n}\\n\\n@media screen and (min-width: 800px) {\\n.appstle-lg-show {\\n  display: block;\\n}\\n.appstle-lg-hide {\\n  display: none;\\n}\\n\\n}\\n\\nspan.appstle_lowercase.appstle_sellingPlan_formattedCompareAtPrice.appstle_price_block {\\n    text-decoration: line-through;\\n    display: block;\\n    margin-right: 3px;\\n    color: rgba(var(--color-foreground));\\n}\\n.widgetSellingPlanWrapper input:checked+label .appstle_sellingPlan_formattedCompareAtPrice {\\ncolor:rgba(var(--color-background));\\n} \\n\\n.appstle_span_wrapper > * {\\nflex-shrink: 0\\n}\\n.appstle-selling-plan-detail-wrapper{\\ncolor: rgba(var(--color-foreground));\\n}\\n.widgetSellingPlanWrapper input:checked+label .appstle-selling-plan-detail-wrapper{\\ncolor: rgba(var(--color-background)) !important;\\n}\\n\\n</style>\\n</div>\\n{% endraw %}\",\"WIDGET_TYPE_7\":\"{% raw %}{% endraw %}\",\"WIDGET_TYPE_2\":\"{% raw %}{% endraw %}\",\"WIDGET_TYPE_3\":\"{% raw %}<div id=\\\"appstle-widget-template\\\">\\n  <div class=\\\"appstle_sub_widget\\\" id=\\\"appstle_subscription_widget{{widgetId}}\\\">\\n<div class=\\\"appstle_widget_title\\\">{{{purchaseOptionsText}}}</div>\\n      <div class=\\\"widgetSellingPlanWrapper appstle_subscription_wrapper\\\">\\n{{#showSubOptionBeforeOneTime}}\\n        {{#sellingPlanVariants}}\\n           <div class=\\\"appstle_input_wrapper appstle_subscription_option\\\">\\n             <input type=\\\"radio\\\" class=\\\"appstleSellingPlan{{widgetId}}\\\" id=\\\"{{sellingPlanId}}\\\" value=\\\"{{sellingPlanId}}\\\" name=\\\"selling_plan\\\" {{#isChecked}}checked{{/isChecked}}>\\n             {{^prepaidFlag}}\\n             <label for=\\\"{{sellingPlanId}}\\\" class=\\\"appstle_widget_three\\\">\\n                 {{{name}}}\\n<div class=\\\"appstle_span_wrapper\\\">\\n        <span class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_price_block\\\">{{{formattedPrice}}}</span>\\n{{#showSecondFormattedDiscountText}}{{^isFixedPrice}}<span class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_discount_block\\\">&nbsp;({{{secondFormattedDiscountText}}})</span> {{/isFixedPrice}}{{/showSecondFormattedDiscountText}}\\n</div>\\n    \\n             </label>\\n        {{/prepaidFlag}}\\n        {{#prepaidFlag}}\\n             <label for=\\\"{{sellingPlanId}}\\\" class=\\\"appstle_widget_three\\\">\\n               {{{name}}}\\n<div class=\\\"appstle_span_wrapper\\\">\\n        <span class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_price_block\\\">{{{totalPrice}}}</span>\\n {{#showSecondFormattedDiscountText}}{{^isFixedPrice}}<span class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_discount_block\\\">&nbsp;({{{secondFormattedDiscountText}}})</span>{{/isFixedPrice}}{{/showSecondFormattedDiscountText}}\\n {{#formattedPrepaidPerDeliveryPriceText}}<span class=\\\"appstle_formattedPrepaidPerDeliveryPriceText\\\">&nbsp;({{{formattedPrepaidPerDeliveryPriceText}}})</span>{{/formattedPrepaidPerDeliveryPriceText}}\\n        </div>\\n    \\n             </label>\\n        {{/prepaidFlag}}\\n      \\n           </div>\\n        {{/sellingPlanVariants}}\\n{{/showSubOptionBeforeOneTime}}\\n       {{^requires_selling_plan}}\\n        <div class=\\\"appstle_input_wrapper appstle_onetime\\\">\\n          <input type=\\\"radio\\\" id=\\\"appstle_selling_plan_label_1{{widgetId}}\\\" name=\\\"selling_plan\\\" value=\\\"{{sellingPlanId}}\\\" class=\\\"appstleSellingPlan{{widgetId}}\\\" {{^subscriptionOptionSelectedDefault}}checked{{/subscriptionOptionSelectedDefault}}>\\n          <label for=\\\"appstle_selling_plan_label_1{{widgetId}}\\\" class=\\\"appstle_widget_three\\\">\\n            {{oneTimePuchaseText}}\\n      <span  class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_onetime_amount\\\">\\n{{#showOneTimeComparePrice}}\\n<span class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_onetime_amount_compare\\\">\\n  {{{oneTimePuchaseComparePriceAmount}}}\\n</span>\\n{{/showOneTimeComparePrice}}\\n{{{oneTimePuchaseAmount}}}</span>\\n          </label>\\n          \\n        </div>\\n        {{/requires_selling_plan}}\\n{{^showSubOptionBeforeOneTime}}\\n        {{#sellingPlanVariants}}\\n           <div class=\\\"appstle_input_wrapper appstle_subscription_option\\\">\\n             <input type=\\\"radio\\\" class=\\\"appstleSellingPlan{{widgetId}}\\\" id=\\\"{{sellingPlanId}}\\\" value=\\\"{{sellingPlanId}}\\\" name=\\\"selling_plan\\\" {{#isChecked}}checked{{/isChecked}}>\\n             {{^prepaidFlag}}\\n             <label for=\\\"{{sellingPlanId}}\\\" class=\\\"appstle_widget_three\\\">\\n                 {{{name}}}\\n<div class=\\\"appstle_span_wrapper\\\">\\n        <span class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_price_block\\\">{{{formattedPrice}}}</span>\\n{{#showSecondFormattedDiscountText}}{{^isFixedPrice}}<span class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_discount_block\\\">&nbsp;({{{secondFormattedDiscountText}}})</span> {{/isFixedPrice}}{{/showSecondFormattedDiscountText}}\\n</div>\\n    \\n             </label>\\n        {{/prepaidFlag}}\\n        {{#prepaidFlag}}\\n             <label for=\\\"{{sellingPlanId}}\\\" class=\\\"appstle_widget_three\\\">\\n               {{{name}}}\\n<div class=\\\"appstle_span_wrapper\\\">\\n        <span class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_price_block\\\">{{{totalPrice}}}</span>\\n {{#showSecondFormattedDiscountText}}{{^isFixedPrice}}<span class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_discount_block\\\">&nbsp;({{{secondFormattedDiscountText}}})</span>{{/isFixedPrice}}{{/showSecondFormattedDiscountText}}\\n {{#formattedPrepaidPerDeliveryPriceText}}<span class=\\\"appstle_formattedPrepaidPerDeliveryPriceText\\\">&nbsp;({{{formattedPrepaidPerDeliveryPriceText}}})</span>{{/formattedPrepaidPerDeliveryPriceText}}\\n        </div>\\n    \\n             </label>\\n        {{/prepaidFlag}}\\n      \\n           </div>\\n        {{/sellingPlanVariants}}\\n{{/showSubOptionBeforeOneTime}}\\n    </div>\\n{{#showStaticTooltip}}\\n<div class=\\\"appstle_tooltip_wrapper_static\\\">{{{toolTipDescription}}}</div>\\n{{/showStaticTooltip}}\\n{{#showTooltip}}\\n    <div data-appstle-icon=\\\"\\\" class=\\\"appstle_tooltip_wrapper\\\">\\n    <svg width=\\\"90\\\" height=\\\"90\\\" viewBox=\\\"0 0 90 90\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" class=\\\"tooltip_subscription_svg\\\">\\n    <path\\n      d=\\\"M45 0C20.1827 0 0 20.1827 0 45C0 69.8173 20.1827 90 45 90C69.8173 90 90 69.8174 90 45C90.0056 44.6025 89.9322 44.2078 89.7839 43.8389C89.6357 43.47 89.4156 43.1342 89.1365 42.8511C88.8573 42.568 88.5247 42.3432 88.158 42.1897C87.7912 42.0363 87.3976 41.9573 87 41.9573C86.6024 41.9573 86.2088 42.0363 85.842 42.1897C85.4753 42.3432 85.1427 42.568 84.8635 42.8511C84.5844 43.1342 84.3643 43.47 84.2161 43.8389C84.0678 44.2078 83.9944 44.6025 84 45C84 66.5748 66.5747 84 45 84C23.4253 84 6 66.5747 6 45C6 23.4254 23.4253 6 45 6C56.1538 6 66.3012 10.5882 73.4375 18H65.4062C65.0087 17.9944 64.614 18.0678 64.2451 18.2161C63.8762 18.3643 63.5405 18.5844 63.2573 18.8635C62.9742 19.1427 62.7494 19.4753 62.596 19.842C62.4425 20.2088 62.3635 20.6024 62.3635 21C62.3635 21.3976 62.4425 21.7912 62.596 22.158C62.7494 22.5247 62.9742 22.8573 63.2573 23.1365C63.5405 23.4156 63.8762 23.6357 64.2451 23.7839C64.614 23.9322 65.0087 24.0056 65.4062 24H79.8125C80.6081 23.9999 81.3711 23.6838 81.9337 23.1212C82.4963 22.5586 82.8124 21.7956 82.8125 21V6.59375C82.821 6.18925 82.7476 5.78722 82.5966 5.41183C82.4457 5.03644 82.2205 4.69545 81.9344 4.40936C81.6483 4.12327 81.3073 3.898 80.9319 3.7471C80.5565 3.5962 80.1545 3.52277 79.75 3.53125C79.356 3.53941 78.9675 3.62511 78.6067 3.78344C78.2458 3.94177 77.9197 4.16963 77.6469 4.45402C77.3741 4.73841 77.16 5.07375 77.0168 5.44089C76.8737 5.80803 76.8042 6.19977 76.8125 6.59375V12.875C68.6156 4.86282 57.3081 0 45 0ZM43.75 20.75C43.356 20.7582 42.9675 20.8439 42.6067 21.0022C42.2458 21.1605 41.9197 21.3884 41.6469 21.6728C41.3741 21.9572 41.16 22.2925 41.0168 22.6596C40.8737 23.0268 40.8042 23.4185 40.8125 23.8125V47.375C40.8116 47.7693 40.8883 48.16 41.0385 48.5246C41.1886 48.8892 41.4092 49.2207 41.6875 49.5L54.0938 61.9375C54.6573 62.5011 55.4217 62.8177 56.2188 62.8177C57.0158 62.8177 57.7802 62.5011 58.3438 61.9375C58.9073 61.3739 59.224 60.6095 59.224 59.8125C59.224 59.0155 58.9073 58.2511 58.3438 57.6875L46.8125 46.1875V23.8125C46.821 23.408 46.7476 23.006 46.5966 22.6306C46.4457 22.2552 46.2205 21.9142 45.9344 21.6281C45.6483 21.342 45.3073 21.1168 44.9319 20.9658C44.5565 20.8149 44.1545 20.7415 43.75 20.75Z\\\"\\n    ></path>\\n    </svg>\\n    <span class=\\\"appstle_tooltip_title\\\">{{{tooltipTitle}}}</span>\\n  </div>\\n<div class=\\\"appstle_tooltip appstle_tooltip_hover\\\">\\n    <div class=\\\"appstle_tooltip_content\\\">\\n      {{{toolTipDescription}}}\\n    </div>\\n   {{#showAppstleLink}}\\n    <div class=\\\"appstle_tooltip_appstle\\\">\\n      <a href=\\\"https://appstle.com\\\" class=\\\"appstle_link\\\" target=\\\"_blank\\\">\\n      POWERED BY APPSTLE\\n      </a>\\n    </div>\\n{{/showAppstleLink}}\\n    </div>\\n{{/showTooltip}}\\n<style>.widgetSellingPlanWrapper {\\n    display: grid;\\n    grid-template-columns: repeat(2, minmax(0, 1fr));\\n    gap: 0.5rem;\\n    grid-auto-rows: 1fr;\\n    margin-bottom: 6px;\\n}\\n.widgetSellingPlanWrapper input {\\n    display: none;\\n}\\n.widgetSellingPlanWrapper label {\\n    border-radius: 8px;\\n    border: 1px solid rgba(var(--color-foreground));\\n    padding: 0.5rem;\\n    display: flex;\\n    justify-content: center;\\n    align-items: center;\\n    display: block;\\n    height: 100%;\\n    width: 100%;\\n    text-align: center;\\ncursor: pointer;\\ncolor: rgba(var(--color-foreground));\\n}\\n.widgetSellingPlanWrapper input:checked+label {\\n    background-color: rgba(var(--color-foreground));\\n    color: rgba(var(--color-background));\\n    border: 1px solid rgba(var(--color-background)) !important;\\n}\\n.appstle_lowercase {\\n    text-transform: lowercase;\\n}\\n.appstle_input_wrapper {\\n    position: relative;\\n}\\nspan.appstle_sellingPlan_discountText {\\n    position: absolute;\\n    background-color: color: rgba(var(--color-foreground));\\n    color: rgba(var(--color-background));\\n    border-radius: 3px;\\n    padding: 1px 18px;\\n    left: 50%;\\n    display: block;\\n    transform: translate(-50%, -50%);\\n    white-space: nowrap;\\n}\\nspan.appstle_sellingPlan_discountText:empty {\\n    display: none !important;\\n}\\nspan.appstle_lowercase.appstle_sellingPlan_price {\\n    color: rgba(var(--color-foreground));\\n}\\nspan.appstle_lowercase.appstle_sellingPlan_price.appstle_onetime_amount_compare {\\n    color: rgba(var(--color-foreground));\\n    text-decoration: line-through;\\n    padding: 0 3px;\\n}\\n#appstle_subscription_widget0 .appstle_tooltip_wrapper {\\n   margin-top: 8px;\\n    margin-bottom: 16px;\\n}\\n.appstle_subscription_wrapper {\\n    border: none !important;\\n}\\nlabel.appstle_widget_three {\\n    display: flex;\\n    flex-direction: column;\\n}\\n.widgetSellingPlanWrapper input:checked+label span {\\n   color: rgba(var(--color-background)) !important;\\n}\\n.appstle_sub_widget .appstle_subscription_wrapper{\\n    border-radius:unset !important;\\n}\\n</style>\\n</div>{% endraw %}\",\"WIDGET_TYPE_4\":\"{% raw %}<div id=\\\"appstle-widget-template\\\">\\n  <div class=\\\"appstle_sub_widget\\\" id=\\\"appstle_subscription_widget{{widgetId}}\\\">\\n<div class=\\\"appstle_widget_title\\\">{{{purchaseOptionsText}}}</div>\\n      <div class=\\\"widgetSellingPlanWrapper\\\">\\n{{^requires_selling_plan}}\\n{{^showSubOptionBeforeOneTime}}\\n        <div class=\\\"appstle_input_wrapper\\\">\\n          <input type=\\\"radio\\\" id=\\\"appstle_selling_plan_label_1{{widgetId}}\\\" name=\\\"selling_plan\\\" value=\\\"\\\" class=\\\"appstleSellingPlan{{widgetId}}\\\" {{^subscriptionOptionSelectedDefault}}checked{{/subscriptionOptionSelectedDefault}}>\\n          <label for=\\\"appstle_selling_plan_label_1{{widgetId}}\\\">\\n            {{oneTimePuchaseText}}\\n{{#showOneTimeComparePrice}}\\n<span class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_onetime_amount_compare\\\">\\n  {{{oneTimePuchaseComparePriceAmount}}}\\n</span>\\n{{/showOneTimeComparePrice}}\\n      <span  class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_onetime_amount\\\">{{{oneTimePuchaseAmount}}}/{{{oneTimeFrequencyText}}}</span>\\n          </label>\\n        </div>\\n{{/showSubOptionBeforeOneTime}}\\n{{/requires_selling_plan}}\\n        {{#sellingPlanVariants}}\\n           <div class=\\\"appstle_input_wrapper\\\">\\n      <span class=\\\"appstle_sellingPlan_discountText\\\">{{{formattedDiscountText}}}</span>\\n             <input type=\\\"radio\\\" class=\\\"appstleSellingPlan{{widgetId}}\\\" id=\\\"{{sellingPlanId}}\\\" value=\\\"{{sellingPlanId}}\\\" name=\\\"selling_plan\\\" {{#isChecked}}checked{{/isChecked}}>\\n{{^prepaidFlag}}\\n             <label for=\\\"{{sellingPlanId}}\\\">\\n                {{{name}}}\\n<div class=\\\"appstle_span_wrapper\\\">\\n        <span class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_price_block\\\">{{{formattedPrice}}}<span>\\n<span class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_formattext_block\\\">/{{{sellingPlanFrequencyText}}}{{#isFrequencySubsequent}}{{/isFrequencySubsequent}}</span>\\n</div>\\n </label>\\n{{/prepaidFlag}}\\n{{#prepaidFlag}}\\n<label for=\\\"{{sellingPlanId}}\\\">\\n                {{{name}}}\\n<div class=\\\"appstle_span_wrapper\\\">\\n        <span class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_price_block\\\">{{{totalPrice}}}</span>\\n<span class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_discount_block appstle_formattedPrepaidPerDeliveryPriceText\\\">&nbsp;{{{formattedPrepaidPerDeliveryPriceText}}}</span>\\n</div>\\n</label>\\n{{/prepaidFlag}}\\n           </div>\\n        {{/sellingPlanVariants}}\\n{{^requires_selling_plan}}\\n{{#showSubOptionBeforeOneTime}}\\n        <div class=\\\"appstle_input_wrapper\\\">\\n          <input type=\\\"radio\\\" id=\\\"appstle_selling_plan_label_1{{widgetId}}\\\" name=\\\"selling_plan\\\" value=\\\"\\\" class=\\\"appstleSellingPlan{{widgetId}}\\\" {{^subscriptionOptionSelectedDefault}}checked{{/subscriptionOptionSelectedDefault}}>\\n          <label for=\\\"appstle_selling_plan_label_1{{widgetId}}\\\">\\n            {{oneTimePuchaseText}}\\n{{#showOneTimeComparePrice}}\\n<span class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_onetime_amount_compare\\\">\\n  {{{oneTimePuchaseComparePriceAmount}}}\\n</span>\\n{{/showOneTimeComparePrice}}\\n      <span  class=\\\"appstle_lowercase appstle_sellingPlan_price appstle_onetime_amount\\\">{{{oneTimePuchaseAmount}}}/{{{oneTimeFrequencyText}}}</span>\\n          </label>\\n        </div>\\n{{/showSubOptionBeforeOneTime}}\\n{{/requires_selling_plan}}\\n    </div>\\n{{#showStaticTooltip}}\\n<div class=\\\"appstle_tooltip_wrapper_static\\\"> {{{toolTipDescription}}}</div>\\n{{/showStaticTooltip}}\\n{{#showTooltip}}\\n    <div data-appstle-icon=\\\"\\\" class=\\\"appstle_tooltip_wrapper\\\">\\n    <svg width=\\\"90\\\" height=\\\"90\\\" viewBox=\\\"0 0 90 90\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" class=\\\"tooltip_subscription_svg\\\">\\n    <path\\n      d=\\\"M45 0C20.1827 0 0 20.1827 0 45C0 69.8173 20.1827 90 45 90C69.8173 90 90 69.8174 90 45C90.0056 44.6025 89.9322 44.2078 89.7839 43.8389C89.6357 43.47 89.4156 43.1342 89.1365 42.8511C88.8573 42.568 88.5247 42.3432 88.158 42.1897C87.7912 42.0363 87.3976 41.9573 87 41.9573C86.6024 41.9573 86.2088 42.0363 85.842 42.1897C85.4753 42.3432 85.1427 42.568 84.8635 42.8511C84.5844 43.1342 84.3643 43.47 84.2161 43.8389C84.0678 44.2078 83.9944 44.6025 84 45C84 66.5748 66.5747 84 45 84C23.4253 84 6 66.5747 6 45C6 23.4254 23.4253 6 45 6C56.1538 6 66.3012 10.5882 73.4375 18H65.4062C65.0087 17.9944 64.614 18.0678 64.2451 18.2161C63.8762 18.3643 63.5405 18.5844 63.2573 18.8635C62.9742 19.1427 62.7494 19.4753 62.596 19.842C62.4425 20.2088 62.3635 20.6024 62.3635 21C62.3635 21.3976 62.4425 21.7912 62.596 22.158C62.7494 22.5247 62.9742 22.8573 63.2573 23.1365C63.5405 23.4156 63.8762 23.6357 64.2451 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59.224 60.6095 59.224 59.8125C59.224 59.0155 58.9073 58.2511 58.3438 57.6875L46.8125 46.1875V23.8125C46.821 23.408 46.7476 23.006 46.5966 22.6306C46.4457 22.2552 46.2205 21.9142 45.9344 21.6281C45.6483 21.342 45.3073 21.1168 44.9319 20.9658C44.5565 20.8149 44.1545 20.7415 43.75 20.75Z\\\"\\n    ></path>\\n    </svg>\\n    <span class=\\\"appstle_tooltip_title\\\">{{{tooltipTitle}}}</span>\\n  </div>\\n    <div class=\\\"appstle_tooltip\\\">\\n    <div class=\\\"appstle_tooltip_content\\\">\\n      {{{toolTipDescription}}}\\n    </div>\\n{{#showAppstleLink}}\\n    <div class=\\\"appstle_tooltip_appstle\\\">\\n      <a href=\\\"https://appstle.com\\\" class=\\\"appstle_link\\\" target=\\\"_blank\\\">\\n      POWERED BY APPSTLE\\n      </a>\\n    </div>\\n{{/showAppstleLink}}\\n    </div>\\n{{/showTooltip}}\\n<style>\\n.widgetSellingPlanWrapper {\\n    display: grid;\\n    grid-template-columns: repeat(2, minmax(0, 1fr));\\n    gap: 16px;\\n    grid-auto-rows: 1fr;\\n    margin-bottom: 6px;\\nmargin-top: 10px\\n}\\n.widgetSellingPlanWrapper input {\\n    display: none;\\n}\\n.widgetSellingPlanWrapper label {\\n    border-radius: 10px;\\n    border: 1px solid rgba(var(--color-foreground, 0, 0, 0));\\n    padding: 0.5rem;\\n    display: flex !important;\\n    flex-direction: column;\\n    justify-content: center;\\n    align-items: center;\\n    display: block;\\n    height: 100%;\\n    width: 100%;\\n    text-align: center;\\ncursor: pointer;\\n}\\n.widgetSellingPlanWrapper input:checked+label {\\n    background-color: rgba(var(--color-foreground, 0, 0, 0));\\n}\\n.appstle_lowercase {\\n    text-transform: lowercase;\\n}\\n.appstle_input_wrapper {\\n    position: relative;\\n}\\nspan.appstle_sellingPlan_discountText {\\n    position: absolute;\\n    font-size: 1.2rem;\\n    background-color: rgba(var(--color-foreground, 0, 0, 0));\\n    color: rgba(var(--color-background, 255, 255, 255));\\n    border-radius: 3px;\\n    border: 2px solid rgba(var(--color-background, 255, 255, 255));\\n    padding: 1px 18px;\\n    left: 50%;\\n    display: block;\\n    transform: translate(-50%, -50%);\\n    white-space: nowrap;\\n}\\nspan.appstle_sellingPlan_discountText:empty {\\n    display: none !important;\\n}\\nspan.appstle_lowercase.appstle_sellingPlan_price.appstle_onetime_amount_compare {\\ntext-decoration: line-through;\\n}\\n.appstle_tooltip_wrapper {\\n    margin-bottom:10px;\\n}\\n.widgetSellingPlanWrapper input:checked+label {\\n    background-color: rgba(var(--color-foreground, 0, 0, 0));\\n    color: rgba(var(--color-background, 255, 255, 255));\\n    border: 2px solid rgba(var(--color-background, 255, 255, 255)) !important;\\n}\\n</style>\\n</div>{% endraw %}\",\"WIDGET_TYPE_5\":\"{% raw %}<div id=\\\"appstle-widget-template\\\">\\n    <div class=\\\"appstle_sub_widget\\\" id=\\\"appstle_subscription_widget{{widgetId}}\\\">\\n<div class=\\\"appstle_widget_title\\\">{{{purchaseOptionsText}}}</div>\\n        <div class=\\\"widgetSellingPlanWrapper\\\">\\n{{^showSubOptionBeforeOneTime}}\\n{{^requires_selling_plan}}\\n          <div class=\\\"appstle_input_wrapper\\\">\\n            <input type=\\\"radio\\\" id=\\\"appstle_selling_plan_label_1{{widgetId}}\\\" name=\\\"selling_plan\\\" value=\\\"\\\" class=\\\"appstleSellingPlan{{widgetId}}\\\" {{^subscriptionOptionSelectedDefault}}checked{{/subscriptionOptionSelectedDefault}}/>\\n            <label for=\\\"appstle_selling_plan_label_1{{widgetId}}\\\">\\n              {{{oneTimePuchaseText}}}\\n            </label>\\n            \\n          </div>\\n{{/requires_selling_plan}}\\n{{/showSubOptionBeforeOneTime}}\\n          {{#sellingPlanVariants}}\\n             <div class=\\\"appstle_input_wrapper\\\">\\n               <input type=\\\"radio\\\" class=\\\"appstleSellingPlan{{widgetId}}\\\" id=\\\"{{sellingPlanId}}\\\" value=\\\"{{sellingPlanId}}\\\" name=\\\"selling_plan\\\"  {{#isChecked}}checked{{/isChecked}} />\\n               <label for=\\\"{{sellingPlanId}}\\\">\\n                  {{{name}}}\\n               </label>\\n        \\n             </div>\\n          {{/sellingPlanVariants}}\\n{{#showSubOptionBeforeOneTime}}\\n{{^requires_selling_plan}}\\n          <div class=\\\"appstle_input_wrapper\\\">\\n            <input type=\\\"radio\\\" id=\\\"appstle_selling_plan_label_1{{widgetId}}\\\" name=\\\"selling_plan\\\" value=\\\"\\\" class=\\\"appstleSellingPlan{{widgetId}}\\\" {{^subscriptionOptionSelectedDefault}}checked{{/subscriptionOptionSelectedDefault}}/>\\n            <label for=\\\"appstle_selling_plan_label_1{{widgetId}}\\\">\\n              {{{oneTimePuchaseText}}}\\n            </label>\\n            \\n          </div>\\n{{/requires_selling_plan}}\\n{{/showSubOptionBeforeOneTime}}\\n      </div>\\n{{#showStaticTooltip}}\\n<div class=\\\"appstle_tooltip_wrapper_static\\\">{{{toolTipDescription}}}</div>\\n{{/showStaticTooltip}}\\n{{#showTooltip}}\\n    <div data-appstle-icon=\\\"\\\" class=\\\"appstle_tooltip_wrapper\\\">\\n    <svg width=\\\"90\\\" height=\\\"90\\\" viewBox=\\\"0 0 90 90\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" class=\\\"tooltip_subscription_svg\\\">\\n    <path\\n      d=\\\"M45 0C20.1827 0 0 20.1827 0 45C0 69.8173 20.1827 90 45 90C69.8173 90 90 69.8174 90 45C90.0056 44.6025 89.9322 44.2078 89.7839 43.8389C89.6357 43.47 89.4156 43.1342 89.1365 42.8511C88.8573 42.568 88.5247 42.3432 88.158 42.1897C87.7912 42.0363 87.3976 41.9573 87 41.9573C86.6024 41.9573 86.2088 42.0363 85.842 42.1897C85.4753 42.3432 85.1427 42.568 84.8635 42.8511C84.5844 43.1342 84.3643 43.47 84.2161 43.8389C84.0678 44.2078 83.9944 44.6025 84 45C84 66.5748 66.5747 84 45 84C23.4253 84 6 66.5747 6 45C6 23.4254 23.4253 6 45 6C56.1538 6 66.3012 10.5882 73.4375 18H65.4062C65.0087 17.9944 64.614 18.0678 64.2451 18.2161C63.8762 18.3643 63.5405 18.5844 63.2573 18.8635C62.9742 19.1427 62.7494 19.4753 62.596 19.842C62.4425 20.2088 62.3635 20.6024 62.3635 21C62.3635 21.3976 62.4425 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61.9375C54.6573 62.5011 55.4217 62.8177 56.2188 62.8177C57.0158 62.8177 57.7802 62.5011 58.3438 61.9375C58.9073 61.3739 59.224 60.6095 59.224 59.8125C59.224 59.0155 58.9073 58.2511 58.3438 57.6875L46.8125 46.1875V23.8125C46.821 23.408 46.7476 23.006 46.5966 22.6306C46.4457 22.2552 46.2205 21.9142 45.9344 21.6281C45.6483 21.342 45.3073 21.1168 44.9319 20.9658C44.5565 20.8149 44.1545 20.7415 43.75 20.75Z\\\"\\n    ></path>\\n    </svg>\\n    <span class=\\\"appstle_tooltip_title\\\">{{{tooltipTitle}}}</span>\\n  </div>\\n<div class=\\\"appstle_tooltip appstle_tooltip_hover\\\">\\n    <div class=\\\"appstle_tooltip_content\\\">\\n      {{{toolTipDescription}}}\\n    </div>\\n  {{#showAppstleLink}}\\n    <div class=\\\"appstle_tooltip_appstle\\\">\\n      <a href=\\\"https://appstle.com\\\" class=\\\"appstle_link\\\" target=\\\"_blank\\\">\\n      POWERED BY APPSTLE\\n      </a>\\n    </div>\\n  {{/showAppstleLink}}\\n    </div>\\n{{/showTooltip}}\\n  <style>\\n  .widgetSellingPlanWrapper {\\n      display: grid;\\n      grid-template-columns: repeat(2, minmax(0, 1fr));\\n      gap: 8px;\\n      grid-auto-rows: 1fr;\\n      margin-bottom: 6px;\\n      margin-top: 10px;\\n  }\\n  \\n  .widgetSellingPlanWrapper input {\\n      display: none;\\n  }\\n  \\n  .widgetSellingPlanWrapper label {\\n      border-radius: 4px;\\n      border: 1px solid rgba(var(--color-foreground));\\n      padding: 0.5rem;\\n      display: flex;\\n      justify-content: center;\\n      align-items: center;\\n      display: block;\\n      height: 100%;\\n      width: 100%;\\n      text-align: center;\\n \\t color: rgba(var(--color-foreground));\\ncursor: pointer;\\n  }\\n  \\n  .widgetSellingPlanWrapper input:checked+label {\\n      background-color: rgba(var(--color-foreground));\\n \\t color: rgba(var(--color-background));\\n  }\\n  .appstle_lowercase {\\n      text-transform: lowercase;\\n  }\\n  \\n  \\n  .appstle_input_wrapper {\\n      position: relative;\\n  }\\n  \\n  span.appstle_sellingPlan_discountText {\\n      position: absolute;\\n      background-color: rgba(var(--color-foreground));\\n      color: rgba(var(--color-background));\\n      border-radius: 3px;\\n      padding: 1px 18px;\\n      left: 50%;\\n      display: block;\\n      transform: translate(-50%, -50%);\\n      white-space: nowrap;\\n  }\\n  span.appstle_sellingPlan_discountText:empty {\\n      display: none !important;\\n  }\\n  </style>\\n  </div>{% endraw %}\"}",
+
+
+              "bundle": {},
+
+
+              "labels": `{\"appstle.subscription.wg.noSubscriptionLabelTextV2\":\"No Subscription\",\"appstle.subscription.wg.cancelAnytimeLabelTextV2\":\"Cancel Anytime\",\"appstle.subscription.wg.addToShipmentErrorTextV2\":\"Error\",\"appstle.subscription.wg.weeksFrequencyTextV2\":\"Weeks\",\"appstle.subscription.wg.weeklyLabelTextV2\":\"Weekly\",\"appstle.subscription.wg.displayAddToExistingSubscriptionButtonForNotLoggedInV2\":\"false\",\"appstle.subscription.wg.addToShipmentProcessingV2\":\"Processing...\",\"appstle.subscription.wg.deliveryEveryFrequencyTextV2\":\"Delivery Every\",\"appstle.subscription.wg.subscribeAndSaveInitalV2\":\"Subscribe & save\",\"appstle.subscription.wg.allowRefreshOnCartPageV2\":\"false\",\"appstle.subscription.wg.cartHiddenAttributesSelectorV2\":\"\",\"appstle.subscription.wg.prepaidLabelTextV2\":\"Prepaid\",\"appstle.subscription.wg.daysFrequencyTextV2\":\"Days\",\"appstle.subscription.wg.monthlyLabelTextV2\":\"Monthly\",\"appstle.subscription.wg.subscribeAndSaveSuccessV2\":\"Subscribe success\",\"appstle.subscription.wg.addToShipmentSuccessTextV2\":\"Success\",\"appstle.subscription.wg.monthFrequencyTextV2\":\"Month\",\"appstle.subscription.wg.addToShipmentButtonTextV2\":\"Add to Shipment\",\"appstle.subscription.wg.displayAddToExistingSubscriptionButtonToSubscribersOnlyV2\":\"false\",\"appstle.subscription.wg.yearsFrequencyTextV2\":\"Years\",\"appstle.subscription.wg.onetimeDescriptionTextV2\":\"\",\"appstle.subscription.wg.addToShipmentTooltipTextV2\":\"Please avoid double delivery charges! Login to add this product to an upcoming delivery.\",\"appstle.subscription.wg.weekFrequencyTextV2\":\"Week\",\"appstle.subscription.wg.oneTimePurchaseTextV2\":\"One Time Purchase\",\"appstle.subscription.wg.loyaltyPerkDescriptionTextV2\":\"{{#isDiscountTypeFreeProduct}}<div style='display: flex;'><div style='height: 60px; width: 60px; flex-shrink: 0; margin-right: 10px;'><img style='width: 100%' src={{{featured_image}}}><\/img><\/div><div>After {{{billingCycleBlock}}} orders,<span style='color: #ffc000;font-weight: 700;';> get a FREE {{freeProductName}} <\/span><\/div><div>{{\/isDiscountTypeFreeProduct}}{{#isDiscountTypePercentage}}After <span class='appstle-loyalty-billing-cycle'><span class='appstle-loyalty-billing-cycle-count'>{{{billingCycleBlock}}}<\/span> order<\/span>, <span class='appstle-loyalty-discount'>get <span style='color: #ffc000;font-weight: 700;';>{{{discount}}}% OFF your entire order<\/span><\/span>.{{\/isDiscountTypePercentage}}{{#isDiscountTypeShipping}}After <span class='appstle-loyalty-billing-cycle'><span class='appstle-loyalty-billing-cycle-count'>{{{billingCycleBlock}}}<\/span> order<\/span>, <span class='appstle-loyalty-discount'>get <span style='color: #ffc000;font-weight: 700;';>shipping at {{{formatDiscountedPrice}}}<\/span><\/span>.{{\/isDiscountTypeShipping}}{{#isDiscountTypeFixed}}After <span class='appstle-loyalty-billing-cycle'><span class='appstle-loyalty-billing-cycle-count'>{{{billingCycleBlock}}}<\/span> order<\/span>, <span class='appstle-loyalty-discount'>get <span style='color: #ffc000;font-weight: 700;';>{{{formatDiscountedPrice}}} OFF your entire order<\/span><\/span>.{{\/isDiscountTypeFixed}}\",\"appstle.subscription.wg.unsubscribeFrequencyTextV2\":\"One-time Purchase\",\"appstle.subscription.wg.bundleDiscountTextV2\":\"bundle discount extra: {{bundleDiscount}} off\",\"appstle.subscription.wg.widgetVariantChangeListenerSelectorV2\":\"\",\"appstle.subscription.wg.atcButtonTextSelectorV2\":\"\",\"appstle.subscription.wg.atcButtonTextSelectorObserverV2\":\"\",\"appstle.subscription.wg.oneTimeFrequencyTextV2\":\"One Time\",\"appstle.subscription.wg.dayFrequencyTextV2\":\"day\",\"appstle.subscription.wg.allowFulfilmentCountViaPropertiesV2\":\"false\",\"appstle.subscription.wg.valdiateFormSelectorV2\":\"\",\"appstle.subscription.wg.monthsFrequencyTextV2\":\"Months\",\"appstle.subscription.wg.prepaidSaveBadgeTextV2\":\"SAVE {{selectedDiscountPercentage}}\",\"appstle.subscription.wg.manageSubscriptionButtonTextV2\":\"Manage Subscription\",\"appstle.subscription.wg.offFrequencyTextV2\":\"Off\",\"appstle.subscription.wg.yearFrequencyTextV2\":\"Year\",\"appstle.subscription.wg.prepayLabelTextV2\":\"Prepay\",\"appstle.subscription.wg.productPageUnitPriceSelectorV2\":\"\",\"appstle.subscription.wg.frequencyCombinedWidgetTextV2\":\"Frequency\",\"appstle.subscription.wg.widgetPriceChangeListenerSelectorV2\":\"\",\"appstle.subscription.wg.sellingPlanTitleTextNonPrepaid\":\"{{sellingPlanName}}\",\"appstle.subscription.wg.selectDeliverOptionV2\":\"select deliver option\",\"appstle.subscription.wg.atcButtonTextV2\":\"\",\"appstle.subscription.wg.yearlyLabelTextV2\":\"Yearly\"}`,
+
+            "css": {
+                "appstle_subscription_widget": {
+                    "margin-top": "" ,
+                    "margin-bottom": "",
+                },
+
+                "appstle_subscription_wrapper": {
+                    "border-width": "",
+                    "border-color": "",
+                },
+
+                "appstle_circle": {
+                    "border-color": "",
+                },
+
+                "appstle_dot": {
+                    "background-color": "",
+                },
+
+                "appstle_select": {
+                    "padding-top": "",
+                    "padding-bottom": "",
+                    "padding-left": "",
+                    "padding-right": "",
+                    "border-width": "",
+                    "border-style": "",
+                    "border-color": "",
+                    "border-radius": "",
+                },
+
+                "tooltip_subscription_svg": {
+                    "fill": "",
+                },
+
+                "appstle_tooltip": {
+                    "color": "",
+                    "background-color": "",
+                },
+
+                "appstle_tooltip_border_top_color": {
+                    "border-top-color": "",
+                },
+
+                "appstle_subscription_final_price": {
+                    "color": "",
+                },
+                "appstle_widget_text_color": {
+                    "color": "",
+                },
+                "appstle_selected_background": {
+                    "background": "transparent",
+                },
+                "elementCSS": "[]",
+                "customCSS": "",
+                "customerPortalCss": "",
+                "externalStyleTag": "",
+                "themeCss": "",
+            }
+          };
+
+          window.AppstleSubscription = window.AppstleSubscription || JSON.parse(JSON.stringify(RS));
+
+          sessionStorage['appstleSubscriptionConfig'] = JSON.stringify(RS.Config);
+
+          var _RSConfig = _RSConfig || {};
+
+          _RSConfig.shop = 'heylo-australia.myshopify.com';
+
+
+
+
+
+
+            _RSConfig.shopMoneyFormat = '${{amount}}';
+            _RSConfig.shopMoneyFormatWithCurrencyFormat = '${{amount}} AUD';
+
+
+
+
+        }
+
+</script>
+
+<style id="appstle-payment-button-override">
+    .shopify-payment-button {display: none;}
+</style>
+<script>
+ let appstleCount = 0
+ function isAppstleJSInitiated() {
+    appstleCount++;
+    if (window?.["RSConfig"] || appstleCount > 20) {
+        let appstleStyleElement = document.querySelector('#appstle-payment-button-override');
+        if (appstleStyleElement) {
+            appstleStyleElement.remove();
+        }
+    } else {
+        setTimeout(isAppstleJSInitiated, 500)
+    }
+ }
+ isAppstleJSInitiated();
+</script>
+
+<style>
+
+</style>
+<script>
+    function pollAppstleInit() {
+        if (window?.appstleInit) {
+        window?.appstleInit()
+        } else {
+        setTimeout(pollAppstleInit, 30);
+        }
+    }
+</script>
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+    <script src="https://subscription-admin.appstle.com/assets/js/appstle-subscription.min.js?shop=heylo-australia.myshopify.com&v=1742452819807" defer ></script>
+
+
+
+
+
+</div><div id="shopify-block-ATXJGNzJtbDBiVXdWN__6366116583096307484" class="shopify-block shopify-app-block"><script type="text/javascript">
+  (function() {
+    const checkoutButtons = document.querySelectorAll('form[action*="/cart"]:not([action*="/cart/"]) [type="submit"], [type="submit"][form="cart"]');
+    checkoutButtons.forEach(button => button.disabled = true);
+
+    window.addEventListener('parcelify_loaded', function(event) {
+      checkoutButtons.forEach(button => button.disabled = false);
+    });
+
+    setTimeout(function() {
+      checkoutButtons.forEach(button => button.disabled = false);
+    }, 3000);
+  })()
+</script>
+
+
+</div><div id="shopify-block-AL1NiTER3L3E1RmJoQ__9094328589753815681" class="shopify-block shopify-app-block"><script type="application/javascript">
+    window.hextom_fsb_meta = {
+        p1: [
+
+        ],
+        p2: {
+
+        },
+        p3: [
+
+        ],
+        p4:null,
+        p5:[],
+        p6:null,
+    };
+
+
+    window.hextom_fsb_config = {"shop_active":"yes","record":false,"bars":[{"bar_id":487182,"position":"top_push_v1","opacity":1.0,"background_color":"#0360AC","text_color_one":"#FFFFFF","text_color_two":"#FFFFFF","font":"Helvetica","font_size":16.0,"bar_height":30,"bar_padding":5.0,"message_one":"Free metro delivery for orders over {{currency_symbol}}{{goal}} (Over $100 for remote delivery)","message_two":"Only     {{currency_symbol}}{{remainder}}     away from free metro delivery","message_two_2":"You got free shipping, Only     {{currency_symbol}}{{remainder_2}}     away from 2-day free shipping","message_three":"Congratulations! You've got free metro delivery","message_four":"This item does not count toward achieving free shipping","message_five":"This item does not qualify for free shipping. Shipping fees will apply.","message_six":"At least one item in your cart does not qualify for free shipping:","show_time":0.0,"interval_time":0.0,"display_page":"{\"products\":{\"isTargeting\":false,\"all\":true,\"tags\":\"\",\"productIds\":\"\",\"collectionIds\":\"\"},\"collections\":{\"isTargeting\":false,\"all\":true,\"collectionIds\":\"\"},\"all\":true,\"home\":false,\"urls\":\"\",\"keywords\":\"\"}","exclude_page":"{\"products\":{\"isTargeting\":false,\"all\":true,\"tags\":\"\",\"productIds\":\"\",\"collectionIds\":\"\"},\"collections\":{\"isTargeting\":false,\"all\":true,\"collectionIds\":\"\"},\"noPages\":true,\"home\":false,\"urls\":\"\",\"keywords\":\"\"}","schedule_enabled":false,"start_on":"2024-10-23T23:21:31.368900+00:00","end_on":"","new_tab":false,"entire_bar_clickable":false,"bar_link":"https://apps.shopify.com/partners/hextom","countries":"AU","exclude_countries":"","auto_currency":false,"currency_code":"AUD","currency_exchange_rate":1.0,"currency_symbol":"$","goal":70.0,"goal_2":0.0,"animation_time":0.0,"background_type":"color","background_pic":"","gradient_color_1":"#FF6162","gradient_color_2":"#FF9766","gradient_color_3":"","gradient_degree":90,"background_moving_speed":0,"target_device":"all","visitor_currency_code":"","close_option":false,"custom_code":"","translation":"","locales":[],"selected_customers_type":"all","selected_customers_tag":"","selected_customers_spent":0.0,"excluded_customers_type":"no_customers","excluded_customers_tag":"","excluded_customers_spent":0.0,"target_products_type":"all","currency_symbol_position":"before","progress_bar_display":false,"progress_bar_color_1":"#ffd030","progress_bar_color_2":"#ffc300","progress_bar_color_bg":"#ebebeb","progress_bar_gradient":false,"progress_bar_border_radius":3,"progress_bar_height":10,"progress_bar_margin_top":7,"progress_bar_margin_bottom":10,"progress_bar_width_percentage":60,"excluded_products":"","incurred_fee_products":"","excluded_message_type":"special","incurred_message_type":"special","incurred_fee_products_list_in_message":true,"button_link_insert_language_code":true,"targeted_markets_region_codes":""}],"theme":{"theme_id":"175998697761","is_xhr":false}};
+
+</script>
+
+
+</div><div id="shopify-block-AY2txY3FKYU5KYjFXU__14694295852195246148" class="shopify-block shopify-app-block"><script type="text/javascript" id="">var _a,vfP=null!==(_a=document.getElementById("vfHolder"))&&void 0!==_a?_a:document.head,
+vfS=document.createElement("script");vfS.setAttribute("src","https://d1o5e9vlirdalo.cloudfront.net/vfLoader.js");vfS.setAttribute("id","vfLoader");
+vfS.setAttribute("data-pk",encodeURIComponent("heylo2899.229822328602"));vfS.setAttribute("data-e",encodeURIComponent("prod"));vfS.type="text/javascript";
+vfP&&vfP.appendChild(vfS);</script>
+
+</div><div id="shopify-block-AaFI1R0pkYmFqemtUS__2858414731233960599" class="shopify-block shopify-app-block"><script translate="no">
+  if( typeof SmartifyAppDECO === 'undefined'){
+    var SmartifyAppDECO = SmartifyAppDECO || {};
+  }
+
+  let SAVE_AMOUNT = '${SAVE_AMOUNT}'
+  let PRICE = '${PRICE}'
+  let SAVE_PERCENT = '${SAVE_PERCENT}'
+  let MAX_SALE = '${MAX_SALE}'
+  let MIN_SALE = '${MIN_SALE}'
+  let MIN_PRICE = '${MIN_PRICE}'
+  let MAX_PRICE = '${MAX_PRICE}'
+  let NEW_FOR = '${NEW_FOR}'
+  let STOCK = '${STOCK}'
+    let DECO = {}
+
+
+
+
+  SmartifyAppDECO.timeSleep = 1;
+
+
+
+    if (typeof DECO !== 'undefined' && DECO?.badges) {
+        SmartifyAppDECO.badges = JSON.parse(DECO.badges);
+      } else {
+        SmartifyAppDECO.badges = JSON.parse(`[]`);
+      }
+
+
+
+
+  if(typeof DECO !== 'undefined' && DECO?.groups){
+    SmartifyAppDECO.groups = JSON.parse(DECO.groups);
+  }else{
+    SmartifyAppDECO.groups = JSON.parse(`[]`);
+  }
+
+
+
+  if(typeof DECO !== 'undefined' && DECO?.banners){
+    SmartifyAppDECO.banners = JSON.parse(DECO.banners);
+  }else{
+    SmartifyAppDECO.banners = JSON.parse(`[]`);
+
+  }
+
+
+
+  if(typeof DECO !== 'undefined' && DECO?.trustBadges){
+    SmartifyAppDECO.trustBadges = JSON.parse(DECO.trustBadges);
+  }else{
+    SmartifyAppDECO.trustBadges = JSON.parse(`[]`);
+  }
+
+
+
+  if(typeof DECO !== 'undefined' && DECO?.labels){
+    SmartifyAppDECO.labels = JSON.parse(DECO.labels);
+  }else{
+    SmartifyAppDECO.labels = JSON.parse(`[{"id":67985,"name":"Deco Label","language":["global"],"priority":0,"status":true,"image":null,"hide":false,"text":"Free metro delivery","styles":"","text_styles":"","position":"top_left","label_width":45,"label_height":10,"label_width_mobile":43,"label_height_mobile":10,"label_width_product":null,"label_height_product":null,"label_width_product_mobile":46,"label_height_product_mobile":null,"fixed_size":false,"page":["product","collection","home","search","cart"],"device":["desktop","mobile"],"ignore_page":null,"label_type":1,"top":0,"left":0,"customize_position":false,"margin":{"top":0,"bottom":0,"left":0,"right":0},"rotate":0,"opacity":1,"link":null,"alt":null,"animation":"none","tooltip":null,"auto_responsive":false,"responsive_ratio":0.34,"ratio_size":false,"all_image":false,"conditions":{"id":67931,"label_id":67985,"variant_apply":"variants","variants":null,"exclude_variants":[],"include_variants":["45382770262305","45382766952737","45382766362913","48984774213921","50545727734049","50545727766817","49433618448673"],"from_time":null,"to_time":null,"is_new":"any","is_on_sale":"any","collections":[],"exclude_collections":[],"tags":[],"exclude_tags":[],"stock_status":"any","use_price":false,"by_price":"base_price","from_price":null,"to_price":null,"use_weight":false,"from_weight":null,"to_weight":null,"use_time":false,"starts_at":"","ends_at":"","discount_from":0,"discount_to":10,"discount_fixed":0,"discount_by":"percentage","discount_type":"fixed","stock_from":0,"stock_to":10,"new_date_from":null,"new_date_to":null,"new_days_threshold":10,"low_stock_threshold":1,"product_stock_computation":"per_variant","title":null,"title_type":"product","title_operator":"equal"},"design":{"id":53038,"label_id":67985,"border_radius":50,"border":{"style":"none","size":0,"color":"#000000"},"shape_color":"#FFE500","text_color":"#2E72D2","font_family":"Arial","font_size":12,"font_size_mobile":11,"font_size_product":27,"font_size_product_mobile":14,"font_style":{"weight":"bold","style":"normal","decoration":"none"},"letter_spacing":0,"shape_class":"pl-text-rectangle","font_size_ratio":0},"metafields":[],"group_ids":[],"updated_at":"2025-02-14T09:29:50.000000Z"}]`);
+
+  }
+
+
+
+  if(typeof DECO !== 'undefined' && DECO?.badge_group){
+    SmartifyAppDECO.badgeHorizontal = DECO.badge_group;
+  }else{
+    SmartifyAppDECO.badgeHorizontal = "1";
+  }
+
+
+
+
+
+  SmartifyAppDECO.integrate = JSON.parse(`{"pisRegex":"a.gp-product-title-link-wrapper, .ecom-collection__product-item--wrapper .ecom-collection__product-item--inner, .boost-pfs-filter-product-item-image .boost-pfs-filter-product-item-image-link, .spf-product-card .spf-product-card__image-wrapper, .snize-product a, .card__inner .full-unstyled-link, div[class*='f:product-card__wrapper'] a[class*='f:full-width-link'], .t4s-product-inner .t4s-full-width-link, .boost-sd__product-item .boost-sd__product-link","lpsPath":"gp-product-images-v2, .ecom-collection__product-item--wrapper .ecom-collection__product-media--container, .boost-pfs-filter-product-item-image .boost-pfs-filter-product-item-image-link, .spf-product-card .spf-product-card__image-wrapper, .snize-product .snize-thumbnail-wrapper, .card__inner , div[class*='f:product-card__wrapper'], .t4s-product-inner, .boost-sd__product-item .boost-sd__product-image","pistRegex":"a.gp-product-title-link-wrapper, .ecom-collection__product-item--wrapper .ecom-collection__product-item-information-title, .boost-pfs-filter-product-bottom .boost-pfs-filter-product-item-title, .spf-product__info .spf-product-card__title, .snize-product .snize-title, .card__information .card__heading.h5, div[class*='f:product-card__info'] [class*='f:product-card__title'], .t4s-product-info__inner .t4s-product-title, .boost-sd__product-info .boost-sd__product-title","pispRegex":"gp-product-price, .ecom-collection__product-item--wrapper .ecom-collection__product-prices, .boost-pfs-filter-product-bottom .boost-pfs-filter-product-item-price, .spf-product__info .spf-product-card__price-wrapper, .snize-product .snize-price-list, .card__information .price, div[class*='f:product-card__info'] [class*='f:price'], .t4s-product-info__inner .t4s-product-price, .boost-sd__product-info .boost-sd__product-price","piRegex":"product-form gp-product-images-v2 img, .ecom-product-single__media--image img, div[class*='f:swiper-slide-active'] img, .t4s-product__media img","lpPath":"product-form gp-product-images-v2, .ecom-product-single__media--image, div[class*='f:swiper-slide-active'], .t4s-product__media","pitRegex":"product-form [data-gp-text], .core__column--wrapper .ecom-product-single__title, .product__info-wrapper .product__title, div[class*='f:product-single__info'] div[class*='f:product-single__block-product-title'], .t4s-product__info-wrapper .t4s-product__title","pipRegex":"product-form gp-product-price, .core__column--wrapper .ecom-product-single__price, .product__info-wrapper .price, div[class*='f:product-single__info'] div[class*='f:product-single__block-product-price'], .t4s-product__info-wrapper .t4s-product-price","pibRegex":"","trustRegex":"product-form gp-product-button, .product-form__buttons, div[class*='f:product-single__info'] f-product-form, .t4s-product__info-wrapper .t4s-form__product"}`);
+
+
+
+    SmartifyAppDECO.regex = JSON.parse(`{"pisRegex":".card__inner .full-unstyled-link","lpsPath":".card .card__inner","pistRegex":".card__information .card__heading.h5","pispRegex":".card__information .price","piRegex":".product__media img","lpPath":".product__media","pitRegex":".product__info-wrapper .product__title","pipRegex":".product__info-wrapper .product-price-wrap","pibRegex":".product__info-wrapper .appstle_widget_title","trustRegex":".product-form__buttons","style":null,"script":null}`);
+
+
+
+    if (SmartifyAppDECO.regex.piRegex) {
+      SmartifyAppDECO.piRegex = SmartifyAppDECO.regex.piRegex;
+    } else {
+
+    }
+    if(typeof DECO !== 'undefined' && DECO?.regex){
+      SmartifyAppDECO.piRegex = DECO.regex?.piRegex;
+    }
+
+
+
+    if (SmartifyAppDECO.regex.lpPath) {
+      SmartifyAppDECO.lpPath = SmartifyAppDECO.regex.lpPath;
+    } else {
+
+    }
+    if(typeof DECO !== 'undefined' && DECO?.regex){
+      SmartifyAppDECO.lpPath = DECO.regex?.lpPath;
+    }
+
+
+
+    if (SmartifyAppDECO.regex.pisRegex) {
+      SmartifyAppDECO.pisRegex = SmartifyAppDECO.regex?.pisRegex;
+    } else {
+
+    }
+    if(typeof DECO !== 'undefined' && DECO?.regex){
+      SmartifyAppDECO.pisRegex = DECO.regex?.pisRegex;
+    }
+
+
+
+    if (SmartifyAppDECO.regex.lpsPath) {
+      SmartifyAppDECO.lpsPath = SmartifyAppDECO.regex?.lpsPath;
+    } else {
+
+    }
+    if(typeof DECO !== 'undefined' && DECO?.regex){
+      SmartifyAppDECO.lpsPath = DECO.regex?.lpsPath;
+    }
+
+
+
+    if (SmartifyAppDECO.regex.pistRegex) {
+      SmartifyAppDECO.pistRegex = SmartifyAppDECO.regex.pistRegex;
+    } else {
+
+    }
+    if(typeof DECO !== 'undefined' && DECO?.regex){
+      SmartifyAppDECO.pistRegex = DECO.regex?.pistRegex;
+    }
+
+
+
+  if (SmartifyAppDECO.regex.pispRegex) {
+    SmartifyAppDECO.pispRegex = SmartifyAppDECO.regex.pispRegex;
+  } else {
+
+  }
+  if(typeof DECO !== 'undefined' && DECO?.regex){
+    SmartifyAppDECO.pispRegex = DECO.regex?.pispRegex;
+  }
+
+
+
+    if (SmartifyAppDECO.regex.pipRegex) {
+      SmartifyAppDECO.pipRegex = SmartifyAppDECO.regex.pipRegex;
+    } else {
+
+    }
+    if(typeof DECO !== 'undefined' && DECO?.regex){
+      SmartifyAppDECO.pipRegex = DECO.regex?.pipRegex;
+    }
+
+
+
+    if (SmartifyAppDECO.regex.pitRegex) {
+      SmartifyAppDECO.pitRegex = SmartifyAppDECO.regex.pitRegex;
+    } else {
+
+    }
+    if(typeof DECO !== 'undefined' && DECO?.regex){
+      SmartifyAppDECO.pitRegex = DECO.regex?.pitRegex
+    }
+
+
+
+  if (SmartifyAppDECO.regex.pibRegex) {
+    SmartifyAppDECO.pibRegex = SmartifyAppDECO.regex.pibRegex;
+  } else {
+
+  }
+  if(typeof DECO !== 'undefined' && DECO?.regex){
+    SmartifyAppDECO.pibRegex = DECO.regex?.pibRegex;
+  }
+
+
+
+    if (SmartifyAppDECO.regex.trustRegex) {
+      SmartifyAppDECO.trustRegex = SmartifyAppDECO.regex.trustRegex;
+    } else {
+
+    }
+    if(typeof DECO !== 'undefined' && DECO?.regex){
+      SmartifyAppDECO.trustRegex = DECO.regex.trustRegex;
+    }
+
+
+
+
+
+  SmartifyAppDECO.page = 'collection';
+
+
+
+
+      if (SmartifyAppDECO.regex?.style) {
+        let style = document.createElement('style');
+        style.innerText = SmartifyAppDECO.regex.style;
+        document.body.append(style);
+      }
+      let decoCheckComplete = setInterval(function () {
+        if (document.readyState == 'complete') {
+          clearInterval(decoCheckComplete);
+            if (typeof SmartifyAppDECO !== 'undefined' && SmartifyAppDECO.regex?.script) {
+              let script = document.createElement('script');
+              script.innerText = SmartifyAppDECO.regex.script;
+              document.body.append(script);
+            }
+        }
+      }, 100);
+
+
+
+</script>
+
+<div id="deco-main-label">
+</div>
+
+<!-- BEGIN app snippet: vite-tag -->
+
+
+  <script src="https://cdn.shopify.com/extensions/caa1e0db-e0f3-47b6-944a-81a7493d3a4a/deco-product-labels-badges-450/assets/theme-ikWqPiMz.js" type="module" crossorigin="anonymous"></script>
+
+<!-- END app snippet --><!-- BEGIN app snippet: vite-tag -->
+
+
+  <link href="//cdn.shopify.com/extensions/caa1e0db-e0f3-47b6-944a-81a7493d3a4a/deco-product-labels-badges-450/assets/banner-Cwoqb0JG.css" rel="stylesheet" type="text/css" media="all" />
+
+<!-- END app snippet --><!-- BEGIN app snippet: vite-tag -->
+
+
+  <link href="//cdn.shopify.com/extensions/caa1e0db-e0f3-47b6-944a-81a7493d3a4a/deco-product-labels-badges-450/assets/label-badge-MwcktQWa.css" rel="stylesheet" type="text/css" media="all" />
+
+<!-- END app snippet --><!-- BEGIN app snippet: vite-tag -->
+
+
+  <link href="//cdn.shopify.com/extensions/caa1e0db-e0f3-47b6-944a-81a7493d3a4a/deco-product-labels-badges-450/assets/trust-badge-CG_Kny-8.css" rel="stylesheet" type="text/css" media="all" />
+
+<!-- END app snippet --><!-- BEGIN app snippet: vite-tag -->
+
+
+  <link href="//cdn.shopify.com/extensions/caa1e0db-e0f3-47b6-944a-81a7493d3a4a/deco-product-labels-badges-450/assets/trust-badge-CG_Kny-8.css" rel="stylesheet" type="text/css" media="all" />
+
+<!-- END app snippet --><!-- BEGIN app snippet: vite-tag -->
+
+
+  <link href="//cdn.shopify.com/extensions/caa1e0db-e0f3-47b6-944a-81a7493d3a4a/deco-product-labels-badges-450/assets/countdown-BVL0DdQM.css" rel="stylesheet" type="text/css" media="all" />
+
+<!-- END app snippet -->
+
+</div><div id="shopify-block-AbnVrQzcwd3h0UEU3M__18356332299842544250" class="shopify-block shopify-app-block"><script>
+  var VariableCollections = []
+</script>
+</div><div id="shopify-block-ANWk3VXE0N3BIWEMvV__11349500561483629931" class="shopify-block shopify-app-block">
+<script
+  id="ReStock-config"
+>
+  var _ReStockConfig = window._ReStockConfig || {};
+
+  _ReStockConfig.templateName = "page";
+  _ReStockConfig.isB2BCustomer = null;
+  _ReStockConfig.currentLocationId = null;
+
+  function createRestockScript() {
+    const restockSdkElement = document.createElement('script');
+    restockSdkElement.setAttribute('defer', 'defer');
+    restockSdkElement.src = "https://cdn.hengam.io/restock-alerts-sdk.js";
+    document.body.appendChild(restockSdkElement);
+  }
+
+
+  try {
+    const url = new URL(window.location);
+    const searchParams = url.searchParams;
+    const shopDomain = searchParams.get('SHOP_DOMAIN') || window.Shopify?.shop || window.location.host;
+
+    fetch(`https://sdk-config.notify-me.app/config/${shopDomain}`)
+      .then(response => response.json())
+      .then(data => {
+        if (!data.app_enabled) return;
+        if (['collection','list-collections', 'search', 'page'].includes(_ReStockConfig.templateName)) {
+          if ((!data.is_back_in_stock_active || data.ui_style.notify_me_styles.find(config => config.page === 'COLLECTION_PAGE').inline_display_mode === 'NOT_DISPLAYED') &&
+              (!data.pre_order.is_service_active ||data.pre_order.collection_page.ui_styles.display_mode === 'NOT_DISPLAYED'))
+              return;
+        }
+        if (_ReStockConfig.templateName === 'index') {
+          if ((!data.is_back_in_stock_active || data.ui_style.notify_me_styles.find(config => config.page === 'LANDING_PAGES').inline_display_mode === 'NOT_DISPLAYED') &&
+              (!data.pre_order.is_service_active ||data.pre_order.landing_page.ui_styles.display_mode === 'NOT_DISPLAYED'))
+            return;
+        }
+        _ReStockConfig = { ..._ReStockConfig, ...data };
+        createRestockScript();
+    })
+    .catch(err => createRestockScript());
+  } catch(error) {
+    createRestockScript();
+  }
+</script>
+
+
+</div><div id="shopify-block-AQnA4MHcwb0FmV1RQb__6248820269887056826" class="shopify-block shopify-app-block"><script>
+    var script = document.createElement('script');
+    script.type = 'text/javascript';
+    script.src = `https://zegsuapps.com/shopify/instagenie/widget?version=1.0.0&shop=${window.Shopify?.shop}&type=embed`;
+    document.head.appendChild(script);
+</script>
+</div></body>
+</html>
diff --git a/tests/llm_web_kit/extractor/assets/extractor_chain_input/good_data/html/para_has_none.html b/tests/llm_web_kit/extractor/assets/extractor_chain_input/good_data/html/para_has_none.html
new file mode 100644
index 00000000..de42f2bf
--- /dev/null
+++ b/tests/llm_web_kit/extractor/assets/extractor_chain_input/good_data/html/para_has_none.html
@@ -0,0 +1,1245 @@
+<html imt-state="original" xmlns="http://www.w3.org/1999/xhtml"><head>
+      <style id="cc-extraStyle" name="cc">
+        noscript {
+          display: none !important;
+        }
+        .cc-unloaded:not(iframe) {
+          width: 100px;
+          height: 100px;
+          background-color: #ffebeb;
+          border: 2px dashed #ff0000;
+        }
+        .mark-selected {
+            outline: 2px dashed #0d6efd !important;
+            background-color: rgba(13, 110, 253, 0.1) !important;
+        }
+        .selecto-selection {
+            background: rgba(13, 110, 253, 0.1);
+            outline: 1px dashed #0d6efd;
+        }
+    </style>
+   <title>Zk multiplecomposer using Spring use composer variable in zul - ZK Forum</title> <meta content="text/html; charset=utf-8" http-equiv="Content-Type"> <meta content="I have a view using a composer which has inside 5 columnChildren each one are the parentComponent of a macroComponent wh ..." name="description"> <meta content="6.5.3,ZK,CNPROG,forum,community" name="keywords"> <meta content="width=device-width, initial-scale=1, user-scalable=no" name="viewport"> <link href="http://www.zkoss.org/resource/img/favicon.ico" rel="shortcut icon"> <link href="http://forum.zkoss.org/feeds/rss/" rel="alternate" title="RSS feed from ZK Forum" type="application/rss+xml"> <link href="" rel="stylesheet" type="text/css"> <link href="" rel="stylesheet" type="text/css"> <link href="" rel="stylesheet" type="text/css"> <link href="" rel="stylesheet" type="text/css"> <link href="http://forum.zkoss.org/question/109839/zk-multiplecomposer-using-spring-use-composer-variable-in-zul/" rel="canonical"> <link href="" rel="stylesheet" type="text/css"> <link href="" rel="stylesheet" type="text/css"> <style>
+	.question-content iframe,
+    .answer iframe{
+		border:none;
+	}
+	.fiddleiframe{
+		display:none;
+	}
+	.commentBody iframe{
+	   border:none;
+	}
+	.grippie {
+		border: 1px solid #DDD;
+		border-width: 0pt 1px 1px;
+		cursor: s-resize;
+		height: 9px;
+		overflow: hidden;
+		background-color: #EEE;
+		background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAB0AAAAKCAYAAABIQFUsAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAEWAAABFgAVshLGQAAAAadEVYdFNvZnR3YXJlAFBhaW50Lk5FVCB2My41LjEwMPRyoQAAACNJREFUOE9jYBgxYPfu3f/phQc2UOnlS5A9oz4d2BAYdrYDABL3AkD4Z9nHAAAAAElFTkSuQmCC);
+		background-repeat: no-repeat;
+		background-position: 344px 0;
+	}
+</style> <script src="" type="text/javascript"></script> <script src="" type="text/javascript"></script> <script type="text/javascript">
+    var askbot = {};
+    askbot['data'] = {};
+    askbot['data']['tinyurlKey'] = '00D20093CC7EB88D987A;';
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+        askbot['settings']['allowedUploadFileTypes'] = [
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+    askbot['messages'] = {};
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+var head=document.getElementsByTagName("head")[0];var script=document.createElement("script");script.type="text/javascript";script.src="http://zkfiddle.org/status/?jsonp=forumcallback";head.appendChild(script);window.forumcallback=function(sucess){window.fiddleAlive=true;$(document).ready(function(){window.updateWidgetIframe()})};window.updateWidgetIframe=function(){if(window.fiddleAlive){var iframes=$("div[name='fiddlecontent']");iframes.each(function(){a=$(this).prev('a:contains("ZKFiddle-Link")');if(a.length)var a=a.get(0),href=a.href,newhref=href.replace(".org/sample/",".org/widget/");if(newhref)$(this.parentNode).empty().append('<iframe width="100%" height="300px" width="" src="'+newhref+'?height=250"></iframe>')})}};
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+    askbot['data']['tag_names'] = askbot['data']['tag_names'] || {};
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+                    if (post_id in data['user_votes']){
+                        var vote = data['user_votes'][post_id];
+                        if (vote == -1){
+                            var btn = downvote_btn;
+                        } else if (vote == 1){
+                            var btn = upvote_btn;
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+                            return;
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+                        if (post_type == 'comment'){
+                            btn.className = btn.className + ' upvoted';
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+                var convert_answer = document.getElementById(answer_convert_id);
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+                }
+                if (post_id in data['user_posts']){
+                    //todo: remove edit button from older comments
+                    return;//same here
+                }
+                if (//maybe remove "delete" button
+                    data['userReputation'] <
+                    2000
+                ) {
+                    var delete_btn = document.getElementById(
+                        'post-' + post_id + '-delete'
+                    );
+                    delete_btn.parentNode.removeChild(delete_btn);
+                }
+                if (//maybe remove "edit" button
+                    data['userReputation'] <
+                    1000
+                ){
+                    var edit_btn = document.getElementById(
+                        'post-' + post_id + '-edit'
+                    )
+                    edit_btn.parentNode.removeChild(edit_btn);
+                }
+                if (//maybe remove retag button
+                    data['userReputation'] <
+                    500
+                ){
+                    var retag_btn = document.getElementById('retag');
+                    if (retag_btn && retag_btn.parentNode)
+	                    retag_btn.parentNode.removeChild(retag_btn);
+                }
+            }
+            function render_add_comment_button(post_id, extra_comment_count){
+                var can_add = false;
+                if (data['user_posts'] === undefined) {
+                    return;
+                }
+
+                    if (data['user_posts'] && post_id in data['user_posts']){
+                        can_add = true;
+                    }
+
+                var add_comment_btn = document.getElementById(
+                    'add-comment-to-post-' + post_id
+                );
+                if (can_add === false){
+                    add_comment_btn.parentNode.removeChild(add_comment_btn);
+                    return;
+                }
+
+                var text = '';
+                if (extra_comment_count > 0){
+                    if (can_add){
+                        text =
+        "post a comment / <strong>some</strong> more";
+                    } else {
+                        text =
+        "see <strong>some</strong> more";
+                    }
+                } else {
+                    if (can_add){
+                        text = "post a comment";
+                    }
+                }
+                add_comment_btn.innerHTML = text;
+                //add the count
+                for (node in add_comment_btn.childNodes){
+                    if (node.nodeName === 'strong'){
+                        node.innerHTML = extra_comment_count;
+                        break;
+                    }
+                }
+            }
+            function render_add_answer_button(){
+                var add_answer_btn = document.getElementById('add-answer-btn');
+                if (askbot['data']['userIsAuthenticated']){
+                    if (askbot['data']['userId'] == 63973){
+                        add_answer_btn.className += ' answer-own-question';
+                        add_answer_btn.setAttribute(
+                            'value',
+                            'Answer Your Own Question'
+                        )
+                    } else {
+                        add_answer_btn.setAttribute(
+                           'value',
+                            'Post Your Answer'
+                        )
+                    }
+                } else {
+                    add_answer_btn.setAttribute(
+                        'value',
+                        'Login/Signup to Post'
+                    );
+                }
+            }
+
+            function hide_convert_links(){
+              if (!askbot['data']['userIsAdminOrMod'] && askbot['data']['userReputation'] < askbot['data']['canEditPost']){
+                var links = document.getElementsByClassName('convert-comment');
+                for (i=0; i<links.length; i++){
+                  links[i].setAttribute('style', 'display:none;');
+                }
+              }
+            }
+
+            askbot['functions'] = askbot['functions'] || {};
+            askbot['functions']['renderPostVoteButtons'] = render_vote_buttons;
+            askbot['functions']['renderPostControls'] = render_post_controls;
+            askbot['functions']['renderAddCommentButton'] = render_add_comment_button;
+            askbot['functions']['renderAddAnswerButton'] = render_add_answer_button;
+            askbot['functions']['hideConvertLinks'] = hide_convert_links;
+            askbot['functions']['hideConvertAnswerLinks'] = hide_convert_answer_links;
+            askbot['functions']['hidePublishAnswerLink'] = hidePublishAnswerLink;
+        })();
+        /*]]>*/
+    </script> <style data-id="immersive-translate-default-injected-css">:root {
+  --immersive-translate-theme-underline-borderColor: #72ece9;
+  --immersive-translate-theme-nativeUnderline-borderColor: #72ece9;
+  --immersive-translate-theme-nativeDashed-borderColor: #72ece9;
+  --immersive-translate-theme-nativeDotted-borderColor: #72ece9;
+  --immersive-translate-theme-highlight-backgroundColor: #ffff00;
+  --immersive-translate-theme-dashed-borderColor: #59c1bd;
+  --immersive-translate-theme-blockquote-borderColor: #cc3355;
+  --immersive-translate-theme-thinDashed-borderColor: #ff374f;
+  --immersive-translate-theme-dashedBorder-borderColor: #94a3b8;
+  --immersive-translate-theme-dashedBorder-borderRadius: 0;
+  --immersive-translate-theme-solidBorder-borderColor: #94a3b8;
+  --immersive-translate-theme-solidBorder-borderRadius: 0;
+  --immersive-translate-theme-dotted-borderColor: #94a3b8;
+  --immersive-translate-theme-wavy-borderColor: #72ece9;
+  --immersive-translate-theme-dividingLine-borderColor: #94a3b8;
+  --immersive-translate-theme-grey-textColor: #2f4f4f;
+  --immersive-translate-theme-marker-backgroundColor: #fbda41;
+  --immersive-translate-theme-marker-backgroundColor-rgb: 251, 218, 65;
+  --immersive-translate-theme-marker2-backgroundColor: #ffff00;
+  --immersive-translate-theme-background-backgroundColor: #dbafaf;
+  --immersive-translate-theme-background-backgroundColor-rgb: 219, 175, 175;
+  --immersive-translate-theme-background-backgroundOpacity: 12;
+  --immersive-translate-theme-opacity-opacity: 10;
+}
+
+[imt-state="dual"] .immersive-translate-target-translation-pre-whitespace {
+  white-space: pre-wrap !important;
+}
+
+[imt-state="dual"] .immersive-translate-pdf-target-container {
+  position: absolute;
+  background-color: #fff;
+  font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica,
+    sans-serif;
+  top: 0;
+  width: 600px;
+  height: 100%;
+  z-index: 2;
+  line-height: 1.3;
+  font-size: 16px;
+}
+[imt-state="dual"] .immersive-translate-target-wrapper[dir="rtl"] {
+  text-align: right;
+}
+
+[imt-state="dual"]
+  .immersive-translate-pdf-target-container
+  .immersive-translate-target-wrapper {
+  color: rgb(0, 0, 0);
+  white-space: normal;
+  position: absolute;
+}
+
+[imt-state="dual"]
+  .immersive-translate-pdf-target-container
+  .immersive-translate-target-wrapper
+  font {
+  color: inherit;
+  white-space: inherit;
+  position: unset;
+}
+
+[imt-state="translation"] .immersive-translate-target-wrapper > br {
+  display: none;
+}
+
+[imt-state="translation"]
+  .immersive-translate-target-translation-block-wrapper {
+  margin: 0 !important;
+}
+
+[imt-state="dual"] .immersive-translate-target-translation-block-wrapper {
+  margin: 8px 0 !important;
+  display: inline-block;
+}
+
+[imt-trans-position="before"]
+  .immersive-translate-target-translation-block-wrapper {
+  display: block;
+}
+
+[imt-trans-position="before"]
+  .immersive-translate-target-translation-block-wrapper {
+  margin-top: 0 !important;
+}
+
+[imt-state="dual"] .immersive-translate-target-translation-pdf-block-wrapper {
+  margin: 0 !important;
+  display: inline-block;
+}
+
+[imt-state="dual"] .immersive-translate-target-translation-theme-grey-inner {
+  color: var(--immersive-translate-theme-grey-textColor);
+}
+
+[imt-state="dual"]
+  .immersive-translate-target-translation-theme-underline-inner {
+  border-bottom: 1px solid
+    var(--immersive-translate-theme-underline-borderColor) !important;
+}
+
+[imt-state="dual"]
+  .immersive-translate-target-translation-theme-nativeUnderline-inner {
+  text-decoration: underline !important;
+  text-decoration-color: var(
+    --immersive-translate-theme-nativeUnderline-borderColor
+  ) !important;
+}
+
+[imt-state="dual"]
+  .immersive-translate-target-translation-block-wrapper-theme-dashedBorder {
+  border: 1px dashed var(--immersive-translate-theme-dashedBorder-borderColor) !important;
+  border-radius: var(
+    --immersive-translate-theme-dashedBorder-borderRadius
+  ) !important;
+  padding: 6px;
+  margin-top: 2px;
+  display: inline-block;
+}
+
+[imt-state="dual"]
+  .immersive-translate-target-translation-inline-wrapper-theme-dashedBorder {
+  border: 1px dashed var(--immersive-translate-theme-dashedBorder-borderColor) !important;
+  border-radius: var(
+    --immersive-translate-theme-dashedBorder-borderRadius
+  ) !important;
+  padding: 2px;
+}
+
+[imt-state="dual"]
+  .immersive-translate-target-translation-block-wrapper-theme-solidBorder {
+  border: 1px solid var(--immersive-translate-theme-solidBorder-borderColor) !important;
+  border-radius: var(
+    --immersive-translate-theme-solidBorder-borderRadius
+  ) !important;
+  padding: 6px;
+  margin-top: 2px;
+  display: inline-block;
+}
+
+[imt-state="dual"]
+  .immersive-translate-target-translation-inline-wrapper-theme-solidBorder {
+  border: 1px solid var(--immersive-translate-theme-solidBorder-borderColor) !important;
+  border-radius: var(
+    --immersive-translate-theme-solidBorder-borderRadius
+  ) !important;
+  padding: 2px;
+}
+
+[imt-state="dual"]
+  .immersive-translate-target-translation-theme-nativeDashed-inner {
+  text-decoration: underline !important;
+  text-decoration-color: var(
+    --immersive-translate-theme-nativeDashed-borderColor
+  ) !important;
+  text-decoration-style: dashed !important;
+}
+
+[imt-state="dual"]
+  .immersive-translate-target-translation-theme-thinDashed-inner {
+  border-bottom: 1px dashed
+    var(--immersive-translate-theme-thinDashed-borderColor) !important;
+}
+
+[imt-state="dual"] .immersive-translate-target-translation-theme-dotted-inner {
+  background-image: linear-gradient(
+    to right,
+    var(--immersive-translate-theme-dotted-borderColor) 30%,
+    rgba(255, 255, 255, 0) 0%
+  );
+  background-position: bottom;
+  background-size: 5px 1px;
+  background-repeat: repeat-x;
+  padding-bottom: 3px;
+}
+
+[imt-state="dual"]
+  .immersive-translate-target-translation-theme-nativeDotted-inner {
+  text-decoration: underline !important;
+  text-decoration-color: var(
+    --immersive-translate-theme-nativeDotted-borderColor
+  ) !important;
+  text-decoration-style: dotted !important;
+}
+
+[imt-state="dual"] .immersive-translate-target-translation-theme-wavy-inner {
+  text-decoration: underline !important;
+  text-decoration-color: var(
+    --immersive-translate-theme-wavy-borderColor
+  ) !important;
+  text-decoration-style: wavy !important;
+}
+
+[imt-state="dual"] .immersive-translate-target-translation-theme-dashed-inner {
+  background: linear-gradient(
+      to right,
+      var(--immersive-translate-theme-dashed-borderColor) 0%,
+      var(--immersive-translate-theme-dashed-borderColor) 50%,
+      transparent 50%,
+      transparent 100%
+    )
+    repeat-x left bottom;
+  background-size: 8px 2px;
+  padding-bottom: 2px;
+}
+
+[imt-state="dual"]
+  .immersive-translate-target-translation-block-wrapper-theme-dividingLine::before {
+  content: "";
+  display: block;
+  max-width: 80px;
+  width: 10%;
+  border-top: 1px dashed
+    var(--immersive-translate-theme-dividingLine-borderColor);
+  padding-top: 8px;
+}
+
+[imt-state="dual"]
+  .immersive-translate-target-translation-inline-wrapper-theme-dividingLine::before {
+  content: "";
+  border-left: 1px dashed
+    var(--immersive-translate-theme-dividingLine-borderColor);
+  max-height: 16px;
+  height: 16px;
+  padding-left: 8px;
+}
+
+[imt-state="dual"]
+  .immersive-translate-target-translation-theme-highlight-inner {
+  background: var(--immersive-translate-theme-highlight-backgroundColor);
+  box-decoration-break: clone;
+  -webkit-box-decoration-break: clone;
+}
+
+[imt-state="dual"]
+  .immersive-translate-target-translation-block-wrapper-theme-marker {
+  line-height: 1.5em;
+}
+
+[imt-state="dual"] .immersive-translate-target-translation-theme-marker2-inner {
+  font-weight: bold;
+  text-shadow: 10px 0px 3px
+      var(--immersive-translate-theme-marker2-backgroundColor),
+    16px 3px 9px var(--immersive-translate-theme-marker2-backgroundColor),
+    2px 0px 6px var(--immersive-translate-theme-marker2-backgroundColor),
+    -12px 0px 12px var(--immersive-translate-theme-marker2-backgroundColor) !important;
+}
+
+[imt-state="dual"] .immersive-translate-target-translation-theme-marker-inner {
+  /* TODO: add more texture */
+  background: linear-gradient(
+    to right,
+    rgba(var(--immersive-translate-theme-marker-backgroundColor-rgb), 0.1),
+    rgba(var(--immersive-translate-theme-marker-backgroundColor-rgb), 0.9) 3%,
+    rgba(var(--immersive-translate-theme-marker-backgroundColor-rgb), 0.9) 35%,
+    rgba(var(--immersive-translate-theme-marker-backgroundColor-rgb), 0.9) 70%,
+    rgba(var(--immersive-translate-theme-marker-backgroundColor-rgb), 0.8) 95%,
+    rgba(var(--immersive-translate-theme-marker-backgroundColor-rgb), 0.3)
+  );
+  box-decoration-break: clone;
+  -webkit-box-decoration-break: clone;
+}
+
+[imt-state="dual"] .immersive-translate-target-translation-theme-weakening {
+  opacity: 0.618 !important;
+}
+
+[imt-state="dual"] .immersive-translate-target-translation-theme-italic {
+  font-style: italic !important;
+}
+
+[imt-state="dual"] .immersive-translate-target-translation-theme-bold {
+  font-weight: bold !important;
+}
+
+[imt-state="dual"]
+  .immersive-translate-target-translation-block-wrapper-theme-paper {
+  margin: 8px 0;
+  box-shadow: rgba(0, 0, 0, 0.24) 0px 3px 8px;
+  padding: 16px 32px;
+  display: inline-block;
+}
+
+[imt-state="dual"]
+  .immersive-translate-target-translation-block-wrapper-theme-blockquote {
+  border-left: 4px solid var(--immersive-translate-theme-blockquote-borderColor) !important;
+  padding-left: 12px !important;
+  margin-top: 4px;
+  margin-bottom: 4px;
+  padding-top: 4px;
+  padding-bottom: 4px;
+  display: inline-block;
+}
+
+[imt-state="dual"] .immersive-translate-target-translation-theme-mask-inner {
+  filter: blur(5px) !important;
+  transition: filter 0.3s ease !important;
+  border-radius: 10px;
+  display: inline-block;
+}
+
+[data-immersive-translate-root-translation-theme="none"]
+  .immersive-translate-target-translation-theme-mask-inner {
+  filter: none !important;
+}
+
+[data-immersive-translate-root-translation-theme="mask"]
+  .immersive-translate-target-inner {
+  filter: blur(5px) !important;
+  transition: filter 0.3s ease !important;
+  border-radius: 10px;
+  display: inline-block;
+}
+
+/* opacity theme start */
+
+[imt-state="dual"] .immersive-translate-target-translation-theme-opacity-inner {
+  filter: opacity(
+    calc(var(--immersive-translate-theme-opacity-opacity) * 1%)
+  ) !important;
+  transition: filter 0.3s ease !important;
+  border-radius: 10px;
+  display: inline-block;
+}
+
+[data-immersive-translate-root-translation-theme="none"]
+  .immersive-translate-target-translation-theme-opacity-inner {
+  filter: none !important;
+}
+[data-immersive-translate-root-translation-theme="opacity"]
+  .immersive-translate-target-inner,
+[imt-state="dual"]
+  .immersive-translate-target-translation-theme-opacity-inner:hover {
+  filter: opacity(
+    calc(var(--immersive-translate-theme-opacity-opacity) * 1%)
+  ) !important;
+  transition: filter 0.3s ease !important;
+  border-radius: 10px;
+  display: inline-block;
+}
+
+[imt-state="dual"]
+  .immersive-translate-target-translation-theme-opacity-inner:hover {
+  filter: none !important;
+}
+
+[imt-state="dual"]
+  .immersive-translate-target-translation-theme-mask-inner:hover {
+  filter: none !important;
+}
+[data-immersive-translate-root-translation-theme="opacity"]
+  .immersive-translate-target-inner:hover {
+  filter: none !important;
+}
+
+[data-immersive-translate-root-translation-theme="mask"]
+  .immersive-translate-target-inner:hover {
+  filter: none !important;
+}
+
+/* opacity theme end */
+
+/* background theme start */
+[imt-state="dual"]
+  .immersive-translate-target-translation-block-wrapper-theme-background {
+  margin: 8px 0;
+  background: rgba(
+    var(--immersive-translate-theme-background-backgroundColor-rgb),
+    calc(var(--immersive-translate-theme-background-backgroundOpacity) * 1%)
+  );
+  border-radius: 4px;
+  box-shadow: unset !important;
+  padding: 12px;
+  display: inline-block;
+}
+[imt-state="dual"]
+  .immersive-translate-target-translation-theme-background-inner {
+  background: rgba(
+    var(--immersive-translate-theme-background-backgroundColor-rgb),
+    calc(var(--immersive-translate-theme-background-backgroundOpacity) * 1%)
+  );
+  padding-left: 6px;
+  padding-right: 6px;
+  box-decoration-break: clone;
+  -webkit-box-decoration-break: clone;
+}
+[imt-state="dual"]
+  .immersive-translate-target-translation-block-wrapper
+  .immersive-translate-target-translation-theme-background-inner {
+  background: unset;
+  padding-left: unset;
+  padding-right: unset;
+}
+/* background theme end */
+
+/* vertical css , please remain it in the last one. */
+.immersive-translate-target-translation-vertical-block-wrapper {
+  margin: 0px 8px !important;
+}
+
+.immersive-translate-text {
+  font-size: 15px !important;
+}
+
+.immersive-translate-error-toast {
+  position: fixed;
+  top: 5%;
+  z-index: 99999999;
+  left: 0;
+  right: 0;
+  margin: auto;
+  max-width: 300px;
+  padding: 16px;
+  border-radius: 12px;
+  background-color: rgba(0, 0, 0, 0.8);
+  display: flex;
+  flex-direction: row;
+  justify-content: space-between;
+}
+
+@media all and (min-width: 750px) {
+  .immersive-translate-error-toast {
+    max-width: 400px;
+  }
+}
+
+.immersive-translate-clickable-button {
+  cursor: pointer;
+}
+
+.immersive-translate-help-button {
+  cursor: pointer;
+}
+
+.immersive-translate-loading-text:before {
+  content: "...";
+}
+
+/* dark mode for loading */
+
+@media only screen and (prefers-color-scheme: dark) {
+  .immersive-translate-loading {
+    border: 2px rgba(255, 255, 255, 0.25) solid !important;
+    border-top: 2px rgba(255, 255, 255, 1) solid !important;
+  }
+}
+
+.immersive-translate-error-wrapper {
+  position: relative;
+  display: inline-flex;
+  padding: 6px;
+  margin: 0 12px;
+  white-space: nowrap;
+  font-size: 0.9em;
+}
+[lang="zh-CN"] .immersive-translate-error-wrapper {
+  font-size: 0.75em;
+}
+[lang="zh-TW"] .immersive-translate-error-wrapper {
+  font-size: 0.75em;
+}
+
+.immersive-translate-tooltip {
+  position: relative;
+  display: inline-flex;
+  /* little indicater to indicate it's hoverable */
+}
+
+.immersive-translate-tooltip-content {
+  /* here's the magic */
+  position: absolute;
+  z-index: 100000000000;
+
+  left: 50%;
+  bottom: 0;
+  transform: translate(-50%, 110%);
+  line-height: 1;
+  /* and add a small left margin */
+
+  /* basic styles */
+  width: max-content;
+  max-width: 250px;
+  word-wrap: break-word;
+  white-space: pre-line;
+  padding: 10px;
+  border-radius: 10px;
+  background: #000c;
+  color: #fff;
+  text-align: center;
+  font-size: 14px;
+  display: none;
+  /* hide by default */
+}
+
+.immersive-translate-tooltip:hover .immersive-translate-tooltip-content {
+  display: inline-block;
+}
+
+.immersive-translate-tooltip:hover + .immersive-translate-tooltip-content {
+  display: inline-block;
+}
+
+.immersive-translate-tooltip-content-table {
+  left: unset !important;
+  bottom: unset !important;
+  transform: translate(-10%, 50%) !important;
+}
+
+.immersive-translate-tooltip:hover:before {
+  display: inline-block;
+}
+
+.immersive-translate-loading-spinner {
+  vertical-align: middle !important;
+  width: 10px !important;
+  height: 10px !important;
+  display: inline-block !important;
+  margin: 0 4px !important;
+  border: 2px rgba(221, 244, 255, 0.6) solid !important;
+  border-top: 2px rgba(0, 0, 0, 0.375) solid !important;
+  border-left: 2px rgba(0, 0, 0, 0.375) solid !important;
+  border-radius: 50% !important;
+  padding: 0 !important;
+  -webkit-animation: immersive-translate-loading-animation 0.6s infinite linear !important;
+  animation: immersive-translate-loading-animation 0.6s infinite linear !important;
+}
+
+@-webkit-keyframes immersive-translate-loading-animation {
+  from {
+    -webkit-transform: rotate(0deg);
+  }
+
+  to {
+    -webkit-transform: rotate(359deg);
+  }
+}
+
+@keyframes immersive-translate-loading-animation {
+  from {
+    transform: rotate(0deg);
+  }
+
+  to {
+    transform: rotate(359deg);
+  }
+}
+
+.imt-image-status {
+  background-color: rgba(0, 0, 0, 0.5);
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  justify-content: center;
+  color: var(--bg-2, #fff);
+  font-size: 14px;
+}
+</style><style data-id="immersive-translate-user-custom-style">:root {
+
+.immersive-translate-target-inner { font-family: inherit; }
+
+
+.immersive-translate-target-inner { font-family: inherit; }
+}
+</style><style data-id="immersive-translate-dynamic-injected-css">.immersive-translate-target-wrapper[dir='rtl'] {text-align: right;}
+.immersive-translate-target-wrapper[dir='rtl'] [data-immersive-translate-class-bak*='block-wrapper'] {display:block;}
+.immersive-translate-target-wrapper {word-break:break-word; user-select:text;}
+[imt-state="translation"] .immersive-translate-target-wrapper[dir='rtl'] {display:inline-block!important;}
+[dir='rtl'] .immersive-translate-target-wrapper:not([dir]) {text-align:left;direction:ltr;}
+[imt-state=dual] .immersive-translate-target-translation-block-wrapper-theme-dividingLine::before {display:block;}
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+    askbot['functions']['renderPostVoteButtons']('question', '109839');
+</script> </div> <div class="question-content" data-anno-uid="anno-uid-pygm7v4bl6" id="post-id-109839"> <h1 data-anno-uid="anno-uid-1ix1j9u7zo9"><a cc-select="true" class="mark-selected" data-anno-uid="anno-uid-0cptbruews7m" href="http://forum.zkoss.org/question/109839/zk-multiplecomposer-using-spring-use-composer-variable-in-zul/" style="">Zk multiplecomposer using Spring use composer variable in zul</a></h1> <ul class="tags post-tags" data-anno-uid="anno-uid-ny2zgh6de" id="question-tags"> <li class="tag-left" data-anno-uid="anno-uid-3cjsrdo415r"><a class="tag tag-right post-tag" data-anno-uid="anno-uid-swusxow0mdq" data-tag-name="6.5.3" href="http://forum.zkoss.org/questions/scope:all/sort:activity-desc/tags:6.5.3/page:1/" rel="tag" style="" title="see questions tagged '6.5.3'">6.5.3</a></li> </ul> <div data-anno-uid="anno-uid-zubkxfeposm" id="question-table"> <div class="question-body" data-anno-uid="anno-uid-9ke93u7jid"> <div class="post-update-info-container" data-anno-uid="anno-uid-hwx7974enpe"> <div class="post-update-info" data-anno-uid="anno-uid-7h6b9t2lrs"> <p data-anno-uid="anno-uid-vfksdj6pggn" style="line-height:12px;"><font _mstmutation="1"><marked-text class="" data-anno-uid="anno-uid-e86d6bi89mw" style="" _mstmutation="1">
+
+
+                asked
+
+
+                </marked-text><strong data-anno-uid="anno-uid-f0y934p4xz" _mstmutation="1"><abbr class="timeago" data-anno-uid="anno-uid-oppp8tyzj3d" style="" title="2018-01-10 05:05:54 +0800">
+        2018-01-10 05:05:54 +0800
+    </abbr></strong></font> </p> <a class="avatar-box" data-anno-uid="anno-uid-udutcczlxx9" href="http://forum.zkoss.org/users/63973/javiut/"><img alt="javiut gravatar image" class="gravatar cc-unloaded" data-anno-uid="anno-uid-bu81nfgb6u" height="32" src="" title="javiut" width="32" _mstalt="419614" style=""></a> <font _mstmutation="1"><a data-anno-uid="anno-uid-gsxwgg32eg" href="http://forum.zkoss.org/users/63973/javiut/" _mstmutation="1">javiut</a> <img alt="委内瑞拉玻利瓦尔共和国国旗" class="flag" data-anno-uid="anno-uid-w184uq6ymk" height="24" src="http://forum.zkoss.org/m/default/media/images/flags/ve.gif?v=1" style="" title="javiut is from Venezuela, Bolivarian Republic of" width="312.53125" _mstalt="53040858" _mstmutation="1"> <br data-anno-uid="anno-uid-4nx1e41etbw" _mstmutation="1"> <span class="reputation-score" data-anno-uid="anno-uid-qqjhvdvrpw" title="" _mstmutation="1">90</span> <span data-anno-uid="anno-uid-srnnpqf674b" title="" _mstmutation="1"> <span class="badge2" data-anno-uid="anno-uid-mv14t76lcda">●</span> <span class="badgecount" data-anno-uid="anno-uid-01rh2a9ob26w">1</span> <span class="badge3" data-anno-uid="anno-uid-7g12axp0jzu">●</span> <span class="badgecount" data-anno-uid="anno-uid-5gnauxnkavh">5</span> </span></font> <br data-anno-uid="anno-uid-j2ym1yskcls"> </div> </div> <p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-gewqeajyxt6" style="">I have a view using a composer which has inside 5 columnChildren each one are the parentComponent of a macroComponent which also uses a composer.</p> <p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-a58mml687te" style="">MyView.zul which has 5 columnChildrens</p> <pre data-anno-uid="anno-uid-lianc6tq35"><code cc-select="true" class="mark-selected" data-anno-uid="anno-uid-fs6f8xr7qy6" style="">&lt;window id="win" apply='com.MyComposerController'&gt;
+&lt;portallayout maximizedMode="whole"&gt;
+    &lt;portalchildren style="padding:5px" width="50%"&gt;
+        &lt;panel sclass="innerPanel" title="${c:l('zul.m.zeus.ac.001')}" border="normal"&gt;
+            &lt;panelchildren&gt;
+                &lt;columnlayout&gt;
+                    &lt;columnchildren id='columnChildrenForInfo'/&gt;&lt;!-PARENT FOR THE MACROURI TEMPLATE-&gt;
+                &lt;/columnlayout&gt;
+            &lt;/panelchildren&gt;
+        &lt;/panel&gt;
+        &lt;panel sclass="innerPanel" title="${c:l('zul.m.zeus.ac.005')}" border="normal"&gt;
+            &lt;panelchildren&gt;
+                &lt;columnlayout&gt;
+                    &lt;columnchildren id='columnChildrenForPetition'/&gt;&lt;!-PARENT FOR THE MACROURI TEMPLATE-&gt;
+                &lt;/columnlayout&gt;
+            &lt;/panelchildren&gt;
+        &lt;/panel&gt;
+        &lt;panel sclass="innerPanel" title="${c:l('zul.m.zeus.ac.009')}" border="normal"&gt;
+            &lt;panelchildren&gt;
+                &lt;columnlayout&gt;
+                    &lt;columnchildren id='columnChildrenForErrors'/&gt;&lt;!-PARENT FOR THE MACROURI TEMPLATE-&gt;
+                &lt;/columnlayout&gt;
+            &lt;/panelchildren&gt;
+        &lt;/panel&gt;
+    &lt;/portalchildren&gt;
+    &lt;portalchildren style="padding:5px" width="50%"&gt;
+        &lt;panel sclass="innerPanel" title="${c:l('zul.m.zeus.ac.013')}" border="normal"&gt;
+            &lt;panelchildren&gt;
+                &lt;columnlayout&gt;
+                    &lt;columnchildren id='columnChildrenForEsperaNoAtendidos'/&gt;&lt;!-PARENT FOR THE MACROURI TEMPLATE-&gt;
+                &lt;/columnlayout&gt;
+            &lt;/panelchildren&gt;
+        &lt;/panel&gt;
+        &lt;panel sclass="innerPanel" title="${c:l('zul.m.zeus.ac.018')}" border="normal"&gt;
+            &lt;panelchildren&gt;
+                &lt;columnlayout&gt;
+                    &lt;columnchildren id='columnChildrenForDocs'/&gt;&lt;!-PARENT FOR THE MACROURI TEMPLATE-&gt;
+                &lt;/columnlayout&gt;
+            &lt;/panelchildren&gt;
+        &lt;/panel&gt;
+    &lt;/portalchildren&gt;
+&lt;/portallayout&gt;
+</code></pre> <p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-0ygskebeq8k" style="">&lt;/window&gt;</p> <p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-b82i31jgxfi" style="">Latter i create in each columnChildren the following macroUri template
+MyViewDetail.zul</p> <pre data-anno-uid="anno-uid-qtvxghiwdp"><code cc-select="true" class="mark-selected" data-anno-uid="anno-uid-uwnq8lmf89l" style="">&lt;zk&gt;
+                            &lt;panel&gt;
+                                &lt;panelchildren&gt;
+&lt;listbox id="results" style="margin-right:5px;margin-top:5px;margin-left:5px"&gt;
+
+&lt;listhead&gt;
+   &lt;listheader/&gt;
+   &lt;listheader/&gt;
+   &lt;listheader/&gt;
+&lt;/listhead&gt;
+&lt;template name="model"&gt;
+&lt;listitem onClick='$composer.listitemOnClick(event);'&gt;
+    &lt;listcell/&gt;
+    &lt;listcell/&gt;
+    &lt;listcell/&gt;
+ &lt;/listitem&gt;
+&lt;/template&gt;
+&lt;/listbox&gt;
+&lt;/panelchildren&gt;
+&lt;/panel&gt;
+&lt;/zk&gt;
+</code></pre> <p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-vnx95u52kj" style="">this macroComponent is mapped in lang-addon.xml like this</p> <pre data-anno-uid="anno-uid-tu5rptev1uk"><code cc-select="true" class="mark-selected" data-anno-uid="anno-uid-vakobvb1jhb" style="">&lt;component&gt;
+    &lt;component-name&gt;composerDetailController&lt;/component-name&gt;
+    &lt;component-class&gt;DetailController&lt;/component-class&gt;
+    &lt;macro-uri&gt;myViewDetail.zul&lt;/macro-uri&gt;
+&lt;/component&gt;
+</code></pre> <p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-qlpu9lmy1ac" style="">Also the detail composer is a string bean which i retrieve like this</p> <pre data-anno-uid="anno-uid-v7prwzgnqz"><code cc-select="true" class="mark-selected" data-anno-uid="anno-uid-7llz7mubqi8" style="">&lt;bean id="composerDetailControllerBean" class="...." autowire="byName" scope="prototype"/&gt;
+</code></pre> <p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-a90641aor6t" style="">I bind it like this.</p> <pre data-anno-uid="anno-uid-z2ogsthw7g"><code cc-select="true" class="mark-selected" data-anno-uid="anno-uid-2055lqa7fxi" style="">    final DetailController composerDetailControllerBean = (DetailController)SpringUtil.getBean("composerDetailControllerBean");//EXTRACT IT FROM SPRING CONTAINER
+    composerDetailControllerBean.setParent(columnChildren);//EACH DETAIL CONTROLLER HAS A COLUMN CHILDREN AS A PARENT
+    detail.afterCompose();
+    detail.inicializa();//SOME BUSINESS LOGIC
+</code></pre> <p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-vo64u4crp6d" style="">Everything is working like a charm but i had a problem as you can see in the template there is a listitem which doesn't have a id because if i put a id a NONUNIQUEIDINSPACE exception is thrown but i need to listen the onClick method on it i have try the following         </p> <pre data-anno-uid="anno-uid-4fgqa502x74"><code cc-select="true" class="mark-selected" data-anno-uid="anno-uid-b4fj26dtmya" style="">onClick='$composer.listitemOnClick(event);'
+</code></pre> <p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-l7hkkfduoxo" style="">But the composer variables points it to the first composer i mean the MyView.zul composer and i have the method and the Business logic in the template composer DetailController but as i dont do this    </p> <pre data-anno-uid="anno-uid-hsczkbm5ss"><code cc-select="true" class="mark-selected" data-anno-uid="anno-uid-6i90ysgtgj9" style="">&lt;div id="compA" apply="some.package.ComposerA"&gt;
+   &lt;div id="compB" apply="some.package.ComposerB"/&gt; i dont use apply in the detailComposer i bind it through lang-addon.xml file
+&lt;/div&gt;
+
+&lt;div apply="some.package.ComposerA"&gt;
+   &lt;custom-attributes composerName="myCompA"/&gt;i dont use apply in the detailComposer i bind it through lang-addon.xml file i cannot use customAttributes
+&lt;/div&gt;
+</code></pre> <p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-pcn6m6j5vcf" style="">I mean i dont set a explicit name to the detail composer and i dont know how to referred it to it in the zul code </p> <p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-rc8lyje56s" style="">i cannot map the composer name to a variable the only thing i did was this try to set a composerName using custom-attributes trying to accomplish the custom-name by custom-attributes aforementioned</p> <p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-f83nso6v5nv" style="">lang-addon.xml file</p> <pre data-anno-uid="anno-uid-426907odfoa"><code cc-select="true" class="mark-selected" data-anno-uid="anno-uid-tzvof5ae0oe" style="">&lt;component&gt;
+    &lt;component-name&gt;composerDetailController&lt;/component-name&gt;
+    &lt;component-class&gt;DetailController&lt;/component-class&gt;
+    &lt;macro-uri&gt;myViewDetail.zul&lt;/macro-uri&gt;
+  &lt;custom-attribute&gt;
+     &lt;attribute-name&gt;composerName&lt;/attribute-name&gt;
+     &lt;attribute-value&gt;composerDetail&lt;/attribute-value&gt;
+  &lt;/custom-attribute&gt;
+&lt;/component&gt;
+
+'$composerDetail.listitemOnClick(event);'
+</code></pre> <p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-mi4o2ldquh" style="">Trying to map the custom attribute-name in the lang-addOn and use it in the zul but without success.</p> <p data-anno-uid="anno-uid-pk2muitlgph"><font _mstmutation="1"><marked-text cc-select="true" class="mark-selected" data-anno-uid="anno-uid-adsm9bjo3ks" style="" _mstmutation="1">I get Caused by: Sourced file: inline evaluation of: </marked-text><marked-tail cc-select="true" class="mark-selected" data-anno-uid="anno-uid-xgnostt90ja" style="" _mstmutation="1">             $composerDetail.listitemOnClick(event);'' : $composerDetail .listitemOnClick ( event ) </marked-tail></font><code cc-select="true" class="mark-selected" data-anno-uid="anno-uid-75ceq9iqoet" style="">$composerDetail.listitemOnClick(event);'' : Attempt to resolve method: listitemOnClick() on undefined variable or class name: $composerDetail : at Line: 14 : in file: inline evaluation of:</code></p> <p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-v9b43hgim2g" style="">I also try this in the MyViewDetail.zul</p> <pre data-anno-uid="anno-uid-tlvr7f34b0s"><code cc-select="true" class="mark-selected" data-anno-uid="anno-uid-scixhhjthq9" style="">&lt;zk&gt;
+    &lt;custom-attributes composerName="composerDetail"/&gt;
+&lt;/zk&gt;
+</code></pre> <p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-amh3xrig53" style="">But not works neither.</p> <p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-1qe3b6f3hba" style="">In resume i dont know to set a name to the detailComposer and i cannot use it in the MyViewDetail.zul</p> </div> <div class="post-controls" data-anno-uid="anno-uid-et45pfkvlz" id="question-controls"> <font _mstmutation="1"><a class="question-delete" data-anno-uid="anno-uid-8ytl5cy0n1f" id="post-109839-delete" _mstmutation="1">delete</a> <span class="offensive-flag" data-anno-uid="anno-uid-q7evsrrndxq" id="question-offensive-flag-109839" title="report as offensive (i.e containing spam, advertising, malicious text, etc.)" _mstmutation="1"> <a class="question-flag" data-anno-uid="anno-uid-j3op7mwcr9t">flag offensive</a> </span>  <a class="question-retag" data-anno-uid="anno-uid-v9serfza1ze" href="http://forum.zkoss.org/questions/109839/retag/" id="retag" _mstmutation="1">retag</a> <a class="question-edit" data-anno-uid="anno-uid-nywrqnnbrfr" href="http://forum.zkoss.org/questions/109839/edit/" id="post-109839-edit" _mstmutation="1">edit</a></font><script data-anno-uid="anno-uid-jof9nzbvhs" type="text/javascript">
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+                    </span> <a data-anno-uid="anno-uid-eg3nlurv97c" href="http://forum.zkoss.org/question/109839/zk-multiplecomposer-using-spring-use-composer-variable-in-zul/?sort=oldest#sort-top" id="oldest" title="oldest answers will be shown first" _mstmutation="1"><span data-anno-uid="anno-uid-l6qhde0w6cs">oldest</span></a> <a data-anno-uid="anno-uid-awmigjumecv" href="http://forum.zkoss.org/question/109839/zk-multiplecomposer-using-spring-use-composer-variable-in-zul/?sort=latest#sort-top" id="latest" title="newest answers will be shown first" _mstmutation="1"><span data-anno-uid="anno-uid-wegw3xd1nba" style="">newest</span></a> <a data-anno-uid="anno-uid-xy93o7fp5z8" href="http://forum.zkoss.org/question/109839/zk-multiplecomposer-using-spring-use-composer-variable-in-zul/?sort=votes#sort-top" id="votes" title="most voted answers will be shown first" _mstmutation="1"><span data-anno-uid="anno-uid-qxlf0ktsfmp" style="">most voted</span></a></font> </div> </div> <div class="clean" data-anno-uid="anno-uid-vzfj4zefwud"></div> <div class="clean" data-anno-uid="anno-uid-jifxjmqxh6c"></div> <a data-anno-uid="anno-uid-bbubzzrte4" name="109846"></a> <div class="answer accepted-answer" data-anno-uid="anno-uid-xgbz1tn1f8" id="post-id-109846"> <div class="vote-buttons" data-anno-uid="anno-uid-7o5odkebbc3"> <div class="answer-img-upvote post-vote" data-anno-uid="anno-uid-fnymwej9r3i" id="answer-img-upvote-109846"> </div> <div class="vote-number" data-anno-uid="anno-uid-8y6i0qfrpq4" id="answer-vote-number-109846" style="" title="current number of votes">0</div> <div class="answer-img-downvote post-vote" data-anno-uid="anno-uid-kyhd7ay7zra" id="answer-img-downvote-109846"> </div> <script data-anno-uid="anno-uid-8iqp38ytdvy" type="text/javascript">
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+
+
+                answered
+
+
+                </marked-text><strong data-anno-uid="anno-uid-f2r31tiaswj" _mstmutation="1"><abbr class="timeago" data-anno-uid="anno-uid-owikd0q39j" style="" title="2018-01-10 16:03:56 +0800">
+        2018-01-10 16:03:56 +0800
+    </abbr></strong></font> </p> <a class="avatar-box" data-anno-uid="anno-uid-adtm550iqfh" href="http://forum.zkoss.org/users/64384/cor3000/"><img alt="cor3000 gravatar image" class="gravatar cc-unloaded" data-anno-uid="anno-uid-86cl0epm9ut" height="32" src="" title="cor3000" width="32" _mstalt="418405" style=""></a> <font _mstmutation="1"><a data-anno-uid="anno-uid-c3en9xyetg" href="http://forum.zkoss.org/users/64384/cor3000/" style="" _mstmutation="1">cor3000</a><br data-anno-uid="anno-uid-xu9gahh6nqr" _mstmutation="1"> <span class="reputation-score" data-anno-uid="anno-uid-egism1hffzj" title="" _mstmutation="1">4406</span> <span data-anno-uid="anno-uid-xl4uique07r" title="" _mstmutation="1"> <span class="badge2" data-anno-uid="anno-uid-2kzzgl33p53">●</span> <span class="badgecount" data-anno-uid="anno-uid-psvwmzw4xn8" style="">2</span> <span class="badge3" data-anno-uid="anno-uid-b9d44gspxv" style="">●</span> <span class="badgecount" data-anno-uid="anno-uid-eoy5w3fcqma" style="">7</span> </span></font> <br data-anno-uid="anno-uid-xl1l280wkfk"> <img alt="ZK Team" data-anno-uid="anno-uid-mkwh9so2n3" src="http://forum.zkoss.org/m/default/media/images/zk/zk.png?v=1" style="float: left;" title="ZK Team" _mstalt="69823"> </div> </div> <p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-af78g149i7u" style="">I can't really follow your explanations... and maybe I don't have to.
+I think you are trying to solve a problem that shouldn't be there in the first place.</p> <p data-anno-uid="anno-uid-wxbp0ui7w5"><marked-text cc-select="true" class="mark-selected" data-anno-uid="anno-uid-id2zjtwvts" style="">Wiring a listener to dynamically created items such as listitems is best done using </marked-text><a cc-select="true" class="mark-selected" data-anno-uid="anno-uid-gp8vvstjevs" href="https://www.zkoss.org/wiki/ZK_Developer's_Reference/Event_Handling/Event_Forwarding" style="">event-forwarding</a><marked-tail cc-select="true" class="mark-selected" data-anno-uid="anno-uid-ngw69plv4e" style=""> to a non dynamic component such as the surrounding listbox.</marked-tail></p> <pre data-anno-uid="anno-uid-joc09gsw5hi"><code cc-select="true" class="mark-selected" data-anno-uid="anno-uid-w35uho4c8ta" style="">&lt;listbox id="results" style="margin-right:5px;margin-top:5px;margin-left:5px"&gt;
+   ...
+   &lt;template name="model"&gt;
+      &lt;!-- don't to this, this is zscript/beanshell --&gt;
+      &lt;!-- &lt;listitem onClick='$composer.listitemOnClick(event);'&gt; --&gt;
+      &lt;!-- use event forwarding --&gt;
+      &lt;listitem forward='onClick=results.onListitemClick'&gt;
+   &lt;/template&gt;
+&lt;/listbox&gt;
+</code></pre> <p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-e8vihqljvuq" style="">Then in your composer you can easily bind an event listener to the results listbox:</p> <pre data-anno-uid="anno-uid-nd6stj8fkc"><code cc-select="true" class="mark-selected" data-anno-uid="anno-uid-a1lov8plkz" style="">@Listen("onListitemClick=#results")
+public void listitemOnClick(ForwardEvent event) {
+    //get the original MouseEvent and click target
+    MouseEvent me = (MouseEvent) event.getOrigin();
+    Listitem listitem = me.getTarget();
+}
+</code></pre> <p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-u5d2jrmqo8b" style="">I think that should avoid the complications you are encountering.</p> <p data-anno-uid="anno-uid-pqhe3gwl2tq" style="" class="mark-selected" cc-select="true">Robert</p> </div> <div class="answer-controls post-controls" data-anno-uid="anno-uid-9wtglobdvo"> <font _mstmutation="1"><span class="action-link" data-anno-uid="anno-uid-3toatr6460h" _mstmutation="1"> <a class="permant-link" data-anno-uid="anno-uid-t90l4ty7av" href="http://forum.zkoss.org/question/109839/zk-multiplecomposer-using-spring-use-composer-variable-in-zul/?answer=109846#post-id-109846" title="permanent link" style="">
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+
+
+	                            Your answer
+
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+                    </div> </div> <div class="message" data-anno-uid="anno-uid-fl0o7eupnc"><span class="strong big" data-anno-uid="anno-uid-3cocxbtg2em">Please start posting your answer anonymously</span><marked-tail data-anno-uid="anno-uid-t2hp8a8tnjq" style=""> - your answer will be saved within the current session and published after you log in or create a new account. Please try to give a </marked-tail><strong data-anno-uid="anno-uid-jo086e47eof">substantial answer</strong><marked-tail data-anno-uid="anno-uid-liheuvtwg5">, for discussions, </marked-tail><strong data-anno-uid="anno-uid-e7nrlmco9nl">please use comments</strong><marked-tail data-anno-uid="anno-uid-4qyfnwkb9nn"> and </marked-tail><strong data-anno-uid="anno-uid-qdb88he6w4q">please do remember to vote</strong><marked-tail data-anno-uid="anno-uid-0yq4a504079r"> (after you log in)!</marked-tail></div> <div class="wmd-container" data-anno-uid="anno-uid-2rtpnju8loe"> <div class="wmd-panel" data-anno-uid="anno-uid-a6oogto4tu" id="wmd-button-bar"></div> <textarea cols="40" data-anno-uid="anno-uid-m25j6xhfmw" id="editor" name="text" rows="10"></textarea> </div> <div class="form-item" data-anno-uid="anno-uid-3clkfori8gx"> <label class="form-error" data-anno-uid="anno-uid-l2mex9x8o" for="editor"><ul class="errorlist" data-anno-uid="anno-uid-b3vmh22cx94"><li data-anno-uid="anno-uid-411ysb2t36w">answer must be &gt; 10 characters</li></ul></label> <p class="editor-status action-status" data-anno-uid="anno-uid-qffbwprs65m"><span data-anno-uid="anno-uid-jq8qtdbs6d"></span></p> </div> <div class="preview-toggle" data-anno-uid="anno-uid-vesiw5q39td"> <span data-anno-uid="anno-uid-js95hw3375" id="pre-collapse" title="Toggle the real time Markdown editor preview">
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+        Asked: </marked-text><strong data-anno-uid="anno-uid-q8wbvrri1ce" _mstmutation="1"><abbr class="timeago" data-anno-uid="anno-uid-w9v4xlngbll" title="2018-01-10 05:05:54 +0800">
+        2018-01-10 05:05:54 +0800
+    </abbr></strong></font> </p> <p data-anno-uid="anno-uid-ikivde5pis"><font _mstmutation="1"><marked-text data-anno-uid="anno-uid-uia3bywg5bg" _mstmutation="1">
+        Seen: </marked-text><strong data-anno-uid="anno-uid-ckqjl01ijgu" _mstmutation="1">9 times</strong></font> </p> <p data-anno-uid="anno-uid-kc0h7uebfzk"><font _mstmutation="1"><marked-text data-anno-uid="anno-uid-sr4oolsil3j" _mstmutation="1">
+        Last updated: </marked-text><strong data-anno-uid="anno-uid-c5q1fvelirm" title="2018-01-10 16:03:56" _mstmutation="1">Jan 10 '18</strong></font> </p> </div> <div class="box" data-anno-uid="anno-uid-rnk8bcg0qap"> <h2 data-anno-uid="anno-uid-2pvv6ksz099">Related questions</h2> <div class="questions-related" data-anno-uid="anno-uid-qa6vcxm464m"> <p data-anno-uid="anno-uid-cz0b2w7mwf5"> <a data-anno-uid="anno-uid-8mvd6zb52z5" href="http://forum.zkoss.org/question/93193/wrong-valueexception-come-in-front-of-modal-popup/">wrong valueException come in front of modal popup [closed]</a> </p> <p data-anno-uid="anno-uid-cd9qi99pd79"> <a data-anno-uid="anno-uid-kyqhm9glni" href="http://forum.zkoss.org/question/93208/composer-in-el-expressions/">@composer in EL expressions</a> </p> <p data-anno-uid="anno-uid-4cpjmzw8r0f"> <a data-anno-uid="anno-uid-z76ykxds5j" href="http://forum.zkoss.org/question/93321/use-parameters-in-a-conditional-command/">Use parameters in a conditional @command</a> </p> <p data-anno-uid="anno-uid-j5mixhmp6la"> <a data-anno-uid="anno-uid-0l43yeidkosn" href="http://forum.zkoss.org/question/93437/problems-with-multiple-press-and-onctrlkey/">Problems with multiple press and onCtrlKey</a> </p> <p data-anno-uid="anno-uid-1q7y90dgro9"> <a data-anno-uid="anno-uid-fuq0c31ntq7" href="http://forum.zkoss.org/question/93519/mvvm-save-on-the-fly/">MVVM @save on the fly [closed]</a> </p> <p data-anno-uid="anno-uid-pb5umtj5p4o"> <a data-anno-uid="anno-uid-23k4t2wsyhw" href="http://forum.zkoss.org/question/93665/helpuse-enter-on-listbox/">[Help]use Enter on listbox</a> </p> <p data-anno-uid="anno-uid-2trjhgg1yxg"> <a data-anno-uid="anno-uid-re38d48o64q" href="http://forum.zkoss.org/question/93814/unable-to-activate-destroyed-desktop/">Unable to activate destroyed desktop</a> </p> <p data-anno-uid="anno-uid-a10vu09d1w"> <a data-anno-uid="anno-uid-6e993sb6jr8" href="http://forum.zkoss.org/question/93887/orgzkosszkuiuiexception-javalangclassnotfoundexception/">org.zkoss.zk.ui.UiException: java.lang.ClassNotFoundException</a> </p> <p data-anno-uid="anno-uid-a3y2855vy2d"> <a data-anno-uid="anno-uid-9105i1n2y15" href="http://forum.zkoss.org/question/93890/how-to-put-a-image-or-letter-over-image-on-a-specific-xy-coordinate/">How to put a image or Letter over image on a specific XY Coordinate</a> </p> <p data-anno-uid="anno-uid-5t71tnpto0m"> <a data-anno-uid="anno-uid-5mf355ina2d" href="http://forum.zkoss.org/question/93922/zk-silent-printer/">zk silent printer</a> </p> </div> </div> <div class="box" data-anno-uid="anno-uid-58org0boyf"> </div> </div> </div> <!-- template footer.html --> <div data-anno-uid="anno-uid-f1kuittzveh" id="ground"> <div class="content-wrapper" data-anno-uid="anno-uid-oqvisk8lpcr"> <div class="footer-links" data-anno-uid="anno-uid-wskc3la0p2"> <font _mstmutation="1"><a data-anno-uid="anno-uid-go8cm3ks247" href="http://www.zkoss.org/support/about" target="_blank" _mstmutation="1">About Us</a><span class="link-separator" data-anno-uid="anno-uid-s0k6b6kuma" _mstmutation="1"> |</span> <a data-anno-uid="anno-uid-c7xd8fodv9t" href="http://forum.zkoss.org/faq/" _mstmutation="1">Faq</a><span class="link-separator" data-anno-uid="anno-uid-gyb3oqv6cv" _mstmutation="1"> |</span> <a data-anno-uid="anno-uid-maxxmefwbx" href="http://forum.zkoss.org/help/" title="help" _mstmutation="1">Help</a> <span class="link-separator" data-anno-uid="anno-uid-32sf4uk59y7" _mstmutation="1"> |</span> <a data-anno-uid="anno-uid-r1oqiw7vceq" href="https://www.zkoss.org/privacy" _mstmutation="1">Privacy Policy</a><span class="link-separator" data-anno-uid="anno-uid-pwmw597a8z" _mstmutation="1"> |</span> <a data-anno-uid="anno-uid-iipxrebn7ti" href="http://www.zkoss.org/support/about/contact" target="_blank" _mstmutation="1">
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+	    	if (zks && zks.replace(/"/g, '') != askbot['data']['userEmail']) {
+	    		_kmq.push(['identify', askbot['data']['userEmail']]);
+	    		$.cookie('zkissms', askbot['data']['userEmail'], {path: '/'});
+	    	}
+    	}
+
+        // focus input on the search bar endcomment
+
+            var searchInput = $('#keywords');
+
+
+        if (searchInput) {
+            searchInput.focus();
+            putCursorAtEnd(searchInput);
+        }
+
+
+        if (searchInput) {
+            var search = new FullTextSearch();
+            askbot['controllers'] = askbot['controllers'] || {};
+            askbot['controllers']['fullTextSearch'] = search;
+
+                search.setSearchUrl('');
+
+
+            search.decorate(searchInput);
+        }
+
+
+        if (askbot['data']['userIsAdminOrMod']) {
+            $('body').addClass('admin');
+        }
+
+    });
+
+    $('#validate_email_alert').click(function(){notify.close(true)})
+    notify.show();
+
+    $('abbr.timeago').timeago();
+    /*]]>*/
+</script> <!-- Google  --> <script data-anno-uid="anno-uid-jkjtqwetyr" type="text/javascript">
+ var z_n = "null",
+	z_i = "34.204.52.4";
+ var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www.");
+ document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E"));
+</script> <script data-anno-uid="anno-uid-klr8e0iy5u9" src="" type="text/javascript"></script> <!-- Google  --> <style data-anno-uid="anno-uid-o34t94sgy">
+.stuck{width:332px;height:225px;position:fixed;top:30%;right:-300px;cursor:pointer}
+.stuck-button-site{width:32px;height:225px;float:left}
+.stuck-button-site-back{width:32px;height:113px;float:left;cursor:hand;background:url(/m/default/media/images/zk/button_support.png?v=1) no-repeat scroll 0 0}
+.stuck-button-site-back:hover{background-position:-32px 0}
+.stuck-panel{background-color:#FCFCFC;box-shadow:0 0 5px rgba(0,0,0,0.2);float:left;height:225px;width:300px}
+.stuck-panel-header{height:225px;margin-left:25px;margin-top:20px}
+.learn-more{font-family:Arial;font-size:16px;color:#008db7;text-decoration:none}
+.learn-more:hover{color:#006684}
+#support-list-ul{font-family:Arial;font-size:15px;color:#7d7d7d;list-style-image:url(/m/default/media/images/zk/icon_check.png?v=1);margin-top:15px;margin-bottom:15px;padding-left:15px}
+#support-list-ul li{line-height:26px}
+.stuck-title{width:250px;color:#517423;font-family:Arial;font-size:24px;margin:0}
+</style> <div class="stuck" data-anno-uid="anno-uid-yo5vmyef96" style="top:35%"> <div class="stuck-button-site" data-anno-uid="anno-uid-ja3s5qk3um"> <div class="stuck-button-site-back" data-anno-uid="anno-uid-tudwzu5c87"> </div> </div> <div class="stuck-panel" data-anno-uid="anno-uid-82fq7v02328"> <div class="stuck-panel-header" data-anno-uid="anno-uid-qv99xkf1paq"> <div class="stuck-title" data-anno-uid="anno-uid-5bcef640rdg">Support Options</div> <div class="support-list" data-anno-uid="anno-uid-twjnogazaj"> <ul data-anno-uid="anno-uid-i402jdzgzji" id="support-list-ul"> <li data-anno-uid="anno-uid-e0ubsatjwln">Email Support</li> <li data-anno-uid="anno-uid-4yxz4815q6h">Training</li> <li data-anno-uid="anno-uid-r1v2to62k9">Consulting</li> <li data-anno-uid="anno-uid-pvxahpopl9">Outsourcing</li> </ul> </div> <a class="learn-more" data-anno-uid="anno-uid-8nolo5spv33" href="http://www.zkoss.org/support/">Learn More</a> </div> </div> </div> <script data-anno-uid="anno-uid-7akt769tkyl" type="text/javascript">
+$("body").click(function(event){if(!$(event.target).closest(".stuck").length)$(".stuck").animate({"right":"-300px"},"slow")});$(".stuck-button-site").click(function(){var stuck=$(this).parent();if(stuck.css("right")!="0px")stuck.animate({"right":"0px"},"slow");else stuck.animate({"right":"-300px"},"slow")});</script> <script data-anno-uid="anno-uid-wja0vfhdxrf" type="text/javascript">
+function isTouchDevice(){return"ontouchstart"in window}
+$(function(){var a=isTouchDevice();if(a){$("body").addClass("touch");var b;if($(".menuitem").length){$(document).mousedown(function(d){if(b&&!$.contains($("#main_menu")[0],d.target))b.removeClass("menuitem-hover")});$(".menuitem-right > a").bind("click",function(f){var g=$(this).parents("li.menuitem"),d=$("li.menuitem");if(g.hasClass("menuitem-hover"))return true;else{if(b)b.removeClass("menuitem-hover");g.addClass("menuitem-hover");b=g;return false}})}}else{if($.browser.msie)$("body").addClass("ie");if($(".menuitem").length)$(".menuitem").hover(function(){$(this).addClass("menuitem-hover")},function(){$(this).removeClass("menuitem-hover")})}});
+</script> <script data-anno-uid="anno-uid-g4m6tzyhbv" src="" type="text/javascript"></script> <script data-anno-uid="anno-uid-o6mlgwq4phn" type="text/javascript">
+
+    var codeFriendlyMarkdown = false;
+
+    var maxCommentLength = 300;
+    askbot['urls']['editAutoAssign'] = '/comment/editautoassign/';
+    askbot['urls']['listAutoAssign'] = '/comment/listautoassign/';
+    askbot['urls']['sendEmailkey'] = '/comment/sendemailkey/';
+    askbot['urls']['postComments'] = '/post_comments/';
+    askbot['urls']['editComment'] = '/edit_comment/';
+    askbot['urls']['deleteComment'] = '/comment/delete/';
+    askbot['urls']['convertComment'] = '/comment/convert/';
+    askbot['urls']['convertAnswer'] = '/answer/convert/';
+    askbot['urls']['getComment'] = '/comment/get_text/';
+    askbot['urls']['saveDraftAnswer'] = '/save-draft-answer/';
+    askbot['urls']['question_url_template'] = scriptUrl + 'question/{{QuestionID}}/{{questionSlug}}';
+    askbot['urls']['vote_url_template'] = scriptUrl + 'questions/{{QuestionID}}/vote/';
+    askbot['urls']['user_signin'] = '/account/signin/';
+    askbot['urls']['swap_question_with_answer'] = '/swap-question-with-answer/';
+    askbot['urls']['upvote_comment'] = '/comment/upvote/';
+    askbot['urls']['delete_post'] = '/post/delete/';
+    askbot['urls']['get_html_template'] = '/get-html-template/';
+    askbot['urls']['getGroupsList'] = '/get-groups-list/';
+    askbot['urls']['publishAnswer'] = '/answer/publish/';
+    askbot['data']['userIsThreadModerator'] = false;
+    askbot['messages']['addComment'] = 'post a comment';
+
+        askbot['settings']['saveCommentOnEnter'] = true;
+
+    askbot['settings']['tagSource'] = 'user-input';
+</script> <script data-anno-uid="anno-uid-cvfkpqeul9" src="" type="text/javascript"></script> <script data-anno-uid="anno-uid-ss30py51lds" src="" type="text/javascript"></script> <script data-anno-uid="anno-uid-l4txj2w7bzi" src="" type="text/javascript"></script> <script data-anno-uid="anno-uid-lwdgc7qvw5" src="" type="text/javascript"></script> <script data-anno-uid="anno-uid-28xpwq38d01" src="" type="text/javascript"></script> <script data-anno-uid="anno-uid-pwb3m6prdpp" type="text/javascript">
+    // define reputation needs for comments
+    var repNeededForComments = 50;
+    $(document).ready(function(){
+        $("#nav_questions").attr('className',"on");
+        var answer_sort_tab = "votes";
+        $("#" + answer_sort_tab).attr('className',"on");
+
+        Vote.init(109839, 'zk-multiplecomposer-using-spring-use-composer-variable-in-zul', '63973','None');
+
+        initEditor();
+
+        lanai.highlightSyntax();
+        $('#btLogin').bind('click', function(){window.location.href='http://forum.zkoss.org/account/signin/'; } )
+        if (window.location.hash === 'fmanswer'){
+            $('#fmanswer textarea').focus();
+        }
+
+
+
+
+        if (askbot['data']['userIsAuthenticated']) {
+            var draftHandler = new DraftAnswer();
+            draftHandler.setThreadId(33699);
+            draftHandler.decorate($(document));
+        }
+    });
+
+    $(window).bind('hashchange', animate_hashes);
+
+    function animate_hashes(){
+      var id_value = window.location.hash;
+      if (id_value != ""){
+        var previous_color = $(id_value).css('background-color');
+        $(id_value).css('backgroundColor', '#FFF8C6');
+        $(id_value).animate({backgroundColor: '#ff7f2a'}, 1000).animate({backgroundColor: '#FFF8C6'}, 1000, function(){
+            $(id_value).css('backgroundColor', previous_color);
+        });
+      }
+    }
+
+
+    function initEditor(){
+        $('#editor').TextAreaResizer();
+        //highlight code synctax when editor has new text
+        $("#editor").typeWatch({highlight: false, wait: 3000,
+                         captureLength: 5, callback: lanai.highlightSyntax});
+
+        var display = true;
+        var txt = "[hide preview]";
+        $('#pre-collapse').text(txt);
+        $('#pre-collapse').bind('click', function(){
+            txt = display ? "[show preview]" : "[hide preview]";
+            display = !display;
+            $('#previewer').toggle();
+            $('#pre-collapse').text(txt);
+        });
+        setupFormValidation(
+            $("#fmanswer"),
+            CPValidator.getAnswerFormRules(),
+            CPValidator.getAnswerFormMessages()
+        );
+    }
+</script> <script data-anno-uid="anno-uid-745342mmi96" type="text/javascript">
+
+    askbot['settings']['tagsAreRequired'] =
+        true;
+    askbot['settings']['maxTagLength'] = 20;
+                            "each tag must be shorter than %(max_chars)d characters",
+    askbot['messages']['maxTagLength'] = "each tag must be shorter than 20 characters";
+    askbot['settings']['maxTagsPerPost'] = 5;
+    askbot['settings']['tagKarmaLimits'] = 1500;
+    askbot['messages']['tagKarmaLimits'] = ">1500 points required to create new tags, please apply an existing tag";
+    askbot['messages']['maxTagsPerPost'] = "please use 5 tags or less";
+    askbot['messages']['tagLimits'] = "please use up to 5 tags, less than 20 characters each";
+    askbot['urls']['upload'] = '/upload/';
+    askbot['settings']['minTitleLength'] = 10;
+    askbot['settings']['minQuestionBodyLength'] = 10;
+    askbot['settings']['minAnswerBodyLength'] = 10;
+    askbot['settings']['tag_editor'] = '{\u0022max_tag_length\u0022: 20, \u0022tag_regex\u0022: \u0022^[\u005C\u005Cw+.#\u002D]+$\u0022, \u0022max_tags_per_post\u0022: 5, \u0022messages\u0022: {\u0022wrong_chars\u0022: \u0022please use letters, numbers and characters \u005C\u0022\u002D+.#\u005C\u0022\u0022, \u0022required\u0022: \u0022tags are required\u0022}, \u0022tags_are_required\u0022: true, \u0022force_lowercase_tags\u0022: true}';
+</script> <script data-anno-uid="anno-uid-kga62edzcor" type="text/javascript">
+    var oldFASR = AutoCompleter.prototype.filterAndShowResults;
+    AutoCompleter.prototype.filterAndShowResults = function(results, filter) {
+    	askbot['data']['tag_names'] = {};
+    	for (var i = 0, j = results.length; i < j; i++) {
+    		if (typeof results[i] === 'object') {
+	            askbot['data']['tag_names'][results[i].value] = true;
+	        }
+    	}
+    	return oldFASR.apply(this, arguments);
+    };
+    </script> <script data-anno-uid="anno-uid-0wo22xnibs18" type="text/javascript">
+            for (url_name in askbot['urls']){
+                askbot['urls'][url_name] = cleanUrl(askbot['urls'][url_name]);
+            }
+        </script>  </body></html>
\ No newline at end of file
diff --git a/tests/llm_web_kit/extractor/html/post_main_html_processer/post_main_html_processer_demo.py b/tests/llm_web_kit/extractor/html/post_main_html_processer/post_main_html_processer_demo.py
new file mode 100644
index 00000000..e1ee388d
--- /dev/null
+++ b/tests/llm_web_kit/extractor/html/post_main_html_processer/post_main_html_processer_demo.py
@@ -0,0 +1,274 @@
+import time
+from pathlib import Path
+from typing import Dict, Generator, List, Union
+
+from loguru import logger
+from lxml import html
+
+from llm_web_kit.extractor.html.post_main_html_processer.choose_html import \
+    select_typical_htmls
+from llm_web_kit.extractor.html.post_main_html_processer.post_llm import \
+    get_llm_response
+from llm_web_kit.extractor.html.post_main_html_processer.post_mapping import \
+    mapping_html_by_rules
+from llm_web_kit.libs.html_utils import element_to_html, html_to_element
+
+
+def get_post_html(html_files: List[Union[Path, str]], api_key: str, llm_url: str, model_name: str,
+                  choose_html_n: int = 10) -> Generator[Dict, None, None]:
+    """对main html进行后处理，旨在清洗html头部和尾部的噪声内容.
+
+    Args:
+        html_files: 元素结构为 object or str
+        api_key: 模型的api_key
+        llm_url: 模型url
+        model_name: 模型name
+        choose_html_n: 选择choose_html_n个html进行html代表的选择
+
+    Returns:
+        迭代器
+        {
+            "post_llm_response":[{}，{}],  # 模型返回的结果
+            "post_llm_spend_time":0,  # 请求模型耗时
+            "post_llm_paths":["", "", ""],  # 代表html的path
+            "main_html":"<html> ... </html>",   # 原始 main html
+            "post_html":"<html> ... </html>",  # 后处理结果 post html
+            "post_map_successful":true,  # bool, 后处理是否成功
+            "marked_html":"<html> ... </html>"  # 用于测试的标记html，其中红色框中灰度的内容为后处理删除的内容
+        }
+    """
+    if not html_files:
+        return
+    # 这里随机选择choose_html_n个html
+    html_strings = [
+        {'html': f.read_text(encoding='utf-8'), 'filename': str(f)}
+        for idx, f in enumerate(html_files)
+        if idx < choose_html_n
+    ]
+
+    post_llm_response = []
+    line = {}
+
+    try:
+        # 获取典型html
+        selected_htmls = select_typical_htmls(html_strings, select_n=3)
+        post_llm_paths = [f['filename'] for f in selected_htmls]
+        # 获取llm响应
+        start_post_llm_time = time.time()
+        # is_llm 表示llm request的开关，True，表示请求llm, False，表示使用默认模型response，仅用于测试
+        post_llm_response = get_llm_response([f['html'] for f in selected_htmls], api_key, llm_url, model_name,
+                                             is_llm=False)
+        post_llm_spend_time = int(time.time() - start_post_llm_time)
+        line.update({'post_llm_response': post_llm_response, 'post_llm_spend_time': post_llm_spend_time,
+                     'post_llm_paths': post_llm_paths})
+    except Exception as e:
+        logger.error(f'The error is {e}, input path: {html_files}')
+
+    # 进行推广处理
+    yield from get_data_to_map(html_files, post_llm_response, line)
+
+
+def get_data_to_map(html_files: List, post_llm_response: List[dict], line: Dict) -> Generator[dict, None, None]:
+    """获取数据进行推广处理.
+
+    Args:
+        html_files: 元素结构为 object or str
+        post_llm_response: 模型返回的结果
+        line: 需要保留的字段字典
+
+    Returns:
+        迭代器
+        {
+            "post_llm_response":[{}，{}],  # 模型返回的结果
+            "post_llm_spend_time":0,  # 请求模型耗时
+            "post_llm_paths":["", "", ""],  # 代表html的path
+            "main_html":"<html> ... </html>",   # 原始 main html
+            "post_html":"<html> ... </html>",  # 后处理结果 post html
+            "post_map_successful":true,  # bool, 后处理是否成功
+            "marked_html":"<html> ... </html>"  # 用于测试的标记html，其中红色框中灰度的内容为后处理删除的内容
+        }
+    """
+    for idx, html_file in enumerate(html_files):
+        html_str = html_file.read_text(encoding='utf-8')
+        if post_llm_response:
+            post_html, post_map_successful = mapping_html_by_rules(html_str, post_llm_response)
+        else:
+            post_html, post_map_successful = html_str, False
+        line['main_html'] = html_str
+        line['post_html'] = post_html
+        line['post_map_successful'] = post_map_successful
+
+        # 获取对比结果，这里只有测试使用，生产不需要这个内容
+        # ------start-----
+        xpath_list = [i['xpath'] for i in post_llm_response]
+        marker = HTMLMarker(html_str)
+        marked_html = marker.process(
+            xpath_list,
+            # output_html=f'./assets/marked_{idx}.html'  # 标注结果保存地址，默认不保存
+        )
+        line['marked_html'] = marked_html
+        # -----end-----
+
+        # 返回最终结果
+        yield line
+
+
+class HTMLMarker:
+    def __init__(self, html_source):
+        """初始化HTML标记器.
+
+        Args:
+            html_source: HTML内容(字符串)
+        """
+        self.tree = html_to_element(html_source)
+
+    def __calculate_node_content_ratio(self, tree: html.HtmlElement, node: html.HtmlElement) -> float:
+        """计算节点内容占比.
+
+        Args:
+            tree(html.HtmlElement): 根节点对象
+            node(html.HtmlElement): 节点对象
+
+        Returns:
+            float: 节点内容占比
+        """
+        # 获取节点的文本内容
+        text_content = node.text_content()
+
+        total_contents = tree.text_content()
+        content_rate = len(text_content) / len(total_contents) if total_contents else 0
+        return content_rate
+
+    def __analyze_node_position(self, all_elements: List[html.HtmlElement], target_node: html.HtmlElement) -> str:
+        # 计算总节点数
+        total_nodes = len(all_elements)
+
+        # 新增逻辑：检查元素是否在<header>或<footer>标签内
+        parent = target_node.getparent()
+        while parent is not None:
+            if parent.tag == 'header':
+                return 'start'
+            elif parent.tag == 'footer':
+                return 'end'
+            parent = parent.getparent()
+
+        # 查找当前节点在全部节点中的索引
+        node_index = -1
+        for idx, element in enumerate(all_elements):
+            if element == target_node:
+                node_index = idx
+                break
+
+        if node_index == -1:
+            # 无法定位节点在文档中的位置
+            return None
+
+        # 计算位置比例
+        position_ratio = (node_index + 1) / total_nodes
+
+        # 判断位置
+        if position_ratio < 0.4:
+            position = 'start'
+        elif position_ratio > 0.7:
+            position = 'end'
+        else:
+            position = 'middle'
+
+        return position
+
+    def __set_child_styles(self, element: html.HtmlElement):
+        """递归设置元素及其所有子元素的文本颜色.
+
+        Args:
+            element(html.HtmlElement): 当前元素
+        """
+        # 设置当前元素的文本颜色（如果不是img标签）
+        if element.tag.lower() != 'img':
+            style = element.get('style', '')
+            if 'color:' not in style:  # 避免覆盖已有的颜色设置
+                element.set('style', f'{style}; color: #888888;')
+
+        # 特殊处理图片元素
+        if element.tag.lower() == 'img':
+            style = element.get('style', '')
+            element.set('style', f'{style}; filter: grayscale(100%);')
+
+        # 递归处理所有子元素
+        for child in element.iterchildren():
+            self.__set_child_styles(child)
+
+    def __mark_elements(self, xpath_list: List[str]) -> str:
+        """标记XPath对应的元素.
+
+        Args:
+            xpath_list: XPath表达式列表
+
+        Returns:
+            标记后的html字符串
+        """
+        # 获取所有元素节点
+        all_elements = [element for element in self.tree.iter() if isinstance(element, html.HtmlElement)]
+
+        for xpath in xpath_list:
+            try:
+                elements = self.tree.xpath(xpath)
+                for element in elements:
+                    content_rate = self.__calculate_node_content_ratio(self.tree, element)
+                    if content_rate > 0.4:
+                        continue
+
+                    # 获取节点的位置
+                    node_position = self.__analyze_node_position(all_elements, element)
+                    if node_position == 'middle':
+                        continue
+
+                    # 添加红色边框和灰色内容样式
+                    style = element.get('style', '')
+                    new_style = f'{style}; border: 2px solid red; color: #888888;'
+
+                    # 特殊处理：对于某些元素可能需要额外样式
+                    if element.tag.lower() in ['div', 'section', 'article']:
+                        new_style += ' background-color: #f8f8f8;'  # 浅灰背景
+
+                    element.set('style', new_style)
+                    self.__set_child_styles(element)
+
+            except Exception:
+                continue
+
+        # 返回处理后的HTML
+        return element_to_html(self.tree)
+
+    def process(self, xpath_list: List[str], output_html=None) -> str:
+        """标记html流程.
+
+        Args:
+            xpath_list: XPath表达式列表
+            output_html: 可选，保存标记后HTML的路径
+
+        Returns:
+            str, 标记后的HTML字符串
+        """
+        marked_html = self.__mark_elements(xpath_list)
+
+        if output_html:
+            Path(output_html).parent.mkdir(parents=True, exist_ok=True)
+            with open(output_html, 'w', encoding='utf-8') as f:
+                f.write(marked_html)
+
+        return marked_html
+
+
+if __name__ == '__main__':
+    # 同一个layoutid的html path
+    base_dir = Path(__file__).parent
+    html_files = [base_dir.joinpath(f'assets/html{i}.html') for i in range(3)]
+
+    # 模型参数
+    model_name = ''
+    api_key = ''
+    url = ''
+    # 获取后处理结果
+    for post_detail in get_post_html(html_files, api_key, url, model_name, choose_html_n=10):
+        # 最终结果可写入文件
+        pass
diff --git a/tests/llm_web_kit/extractor/html/post_main_html_processer/test_post_llm.py b/tests/llm_web_kit/extractor/html/post_main_html_processer/test_post_llm.py
index cbef314b..d84f32ed 100644
--- a/tests/llm_web_kit/extractor/html/post_main_html_processer/test_post_llm.py
+++ b/tests/llm_web_kit/extractor/html/post_main_html_processer/test_post_llm.py
@@ -1,5 +1,6 @@
 import unittest
 from pathlib import Path
+from unittest.mock import MagicMock, patch
 
 from llm_web_kit.extractor.html.post_main_html_processer.post_llm import (
     clean_json_data, get_llm_response)
@@ -37,8 +38,8 @@ def setUp(self):
             }
         ]
 
-    def test_get_llm_response_success(self):
-        """测试成功获取LLM响应的情况."""
+    def test_get_llm_response_success_f(self):
+        """测试成功获取默认LLM响应的情况."""
         test_input = []
         for i in range(3):
             filename = f'assets/html{i}.html'
@@ -51,6 +52,55 @@ def test_get_llm_response_success(self):
         self.assertEqual(len(result), len(self.mock_response_content))
         self.assertEqual(True, bool("//form[@class='et_pb_contact_form clearfix']" in str(result)))
 
+    @patch('llm_web_kit.extractor.html.post_main_html_processer.post_llm.request_model')
+    def test_get_llm_response_success_t(self, mock_request_model):
+        """测试成功获取LLM响应的情况."""
+        mock_res = '{"choices": [{"message": {"content": "[\\n    {\\n        \\"xpath\\": \\"//section[@class=\'et_pb_with_border et_pb_module et_pb_fullwidth_header et_pb_fullwidth_header_0 et_animated et_hover_enabled et_pb_text_align_center et_pb_bg_layout_dark et_pb_fullscreen\']\\",\\n        \\"parent_tag\\": \\"div\\",\\n        \\"parent_attributes\\": {\\"class\\": \\"et_pb_section et_pb_section_0 et_pb_with_background et_pb_fullwidth_section et_section_regular\\"},\\n        \\"reason\\": \\"This section represents a header banner with branding and subhead information, which is non-core content as it does not contribute to the main page body.\\"\\n    },\\n    {\\n        \\"xpath\\": \\"//ul[@class=\'et_pb_module et_pb_social_media_follow et_pb_social_media_follow_0 clearfix  et_pb_text_align_center et_pb_bg_layout_light\']\\",\\n        \\"parent_tag\\": \\"div\\",\\n        \\"parent_attributes\\": {\\"class\\": \\"et_pb_column et_pb_column_1_3 et_pb_column_5  et_pb_css_mix_blend_mode_passthrough\\"},\\n        \\"reason\\": \\"This section contains social media links and icons, which are typically non-core content placed in the footer or sidebar for engagement purposes.\\"\\n    },\\n    {\\n        \\"xpath\\": \\"//form[@class=\'et_pb_contact_form clearfix\' and @action=\'https://gillgrencommunication.com/?\']\\",\\n        \\"parent_tag\\": \\"div\\",\\n        \\"parent_attributes\\": {\\"class\\": \\"et_pb_column et_pb_column_2_3 et_pb_column_6  et_pb_css_mix_blend_mode_passthrough et-last-child\\"},\\n        \\"reason\\": \\"This contact form is part of the page layout but is more related to user interaction rather than the core content being presented on the page.\\"\\n    }\\n]"}}]}'
+        mock_request_model.return_value = mock_res
+
+        test_input = []
+        for i in range(3):
+            filename = f'assets/html{i}.html'
+            test_input.append(base_dir.joinpath(filename).read_text(encoding='utf-8'))
+
+        result = get_llm_response(test_input, self.api_key, self.url, self.model_name)
+        self.assertIn(
+            "//section[@class='et_pb_with_border et_pb_module et_pb_fullwidth_header et_pb_fullwidth_header_0 et_animated et_hover_enabled et_pb_text_align_center et_pb_bg_layout_dark et_pb_fullscreen']",
+            str(result))
+
+    @patch('llm_web_kit.extractor.html.post_main_html_processer.post_llm.request_model')
+    def test_get_llm_response_fail_b(self, mock_request_model):
+        """测试成功获取LLM响应的情况."""
+        from openai import BadRequestError
+        message = 'Range of input length should be [1, 32768]'
+        response = MagicMock()
+        response.status_code = 400
+        response.json.return_value = {
+            'error': {
+                'message': message,
+                'type': 'invalid_request_error',
+                'param': None,
+                'code': None
+            }
+        }
+
+        # 创建异常实例
+        error = BadRequestError(
+            message=message,
+            response=response,
+            body={}
+        )
+        mock_request_model.side_effect = error
+
+        test_input = []
+        for i in range(3):
+            filename = f'assets/html{i}.html'
+            test_input.append(base_dir.joinpath(filename).read_text(encoding='utf-8'))
+
+        result = get_llm_response(test_input, self.api_key, self.url, self.model_name)
+
+        self.assertIsNone(result)
+
     def test_get_llm_response_fail(self):
         """测试获取LLM响应失败的情况."""
         test_input = []
diff --git a/tests/llm_web_kit/extractor/html/recognizer/assets/recognizer/table_has_formula.html b/tests/llm_web_kit/extractor/html/recognizer/assets/recognizer/table_has_formula.html
new file mode 100644
index 00000000..a050772e
--- /dev/null
+++ b/tests/llm_web_kit/extractor/html/recognizer/assets/recognizer/table_has_formula.html
@@ -0,0 +1,1964 @@
+<html lang="en"><head>
+<style id="cc-extraStyle" name="cc">
+        noscript {
+          display: none !important;
+        }
+        .cc-unloaded:not(iframe) {
+          width: 100px;
+          height: 100px;
+          background-color: #ffebeb;
+          border: 2px dashed #ff0000;
+        }
+        .mark-selected {
+            outline: 2px dashed #0d6efd !important;
+            background-color: rgba(13, 110, 253, 0.1) !important;
+        }
+        .selecto-selection {
+            background: rgba(13, 110, 253, 0.1);
+            outline: 1px dashed #0d6efd;
+        }
+    </style>
+<meta charset="utf-8">
+<title>Icentia11k Single Lead Continuous Raw Electrocardiogram Dataset v1.0</title>
+<meta content="This is a dataset of continuous raw electrocardiogram (ECG) signals for representation learning containing 11 thousand patients and 2 billion labelled beats." name="description">
+<link href="" rel="stylesheet" type="text/css">
+<link href="" rel="stylesheet" type="text/css">
+<link href="" rel="stylesheet" type="text/css">
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+<script src=""></script>
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+<script>
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+  gtag('js', new Date());
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+</span>
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+</nav>
+<main data-anno-uid="anno-uid-8g3nf0loqkk">
+<div class="container" data-anno-uid="anno-uid-d2jsjeoyov9">
+<p data-anno-uid="anno-uid-v38zsctm35">
+<span class="badge badge-dark" data-anno-uid="anno-uid-3zcdgat2b77"><i class="fa fa-database" data-anno-uid="anno-uid-2y1drl4ejnx"></i><marked-tail class="" data-anno-uid="anno-uid-n2vdudmifkh"> Database</marked-tail></span>
+<span class="badge badge-success" data-anno-uid="anno-uid-5r5uqfk9sqp"><i class="fas fa-lock-open" data-anno-uid="anno-uid-u1uv91xzcke"></i><marked-tail data-anno-uid="anno-uid-p5j73t4k8wn" style=""> Open Access</marked-tail></span>
+</p>
+<h1 cc-select="true" class="form-signin-heading mark-selected" data-anno-uid="anno-uid-hp2c1bi26lg" style="">Icentia11k Single Lead Continuous Raw Electrocardiogram Dataset</h1>
+<p data-anno-uid="anno-uid-xjbpt38f54">
+<strong data-anno-uid="anno-uid-saamji1hru">
+<font _mstmutation="1" data-anno-uid="anno-uid-6q278fokh2k"><a _mstmutation="1" class="author" data-anno-uid="anno-uid-wlarug5jmrj">Shawn Tan</a> <marked-tail _mstmutation="1" data-anno-uid="anno-uid-e8vc7nvexuj">
+      ,&nbsp;
+
+      </marked-tail><a _mstmutation="1" class="author" data-anno-uid="anno-uid-onlxogpvr7" style="">Satya Ortiz-Gagné</a> <marked-tail _mstmutation="1" data-anno-uid="anno-uid-38vnm9mhcah">
+      ,&nbsp;
+
+      </marked-tail><a _mstmutation="1" class="author" data-anno-uid="anno-uid-e2nlkc4fsiv" style="">Nicolas Beaudoin-Gagnon</a> <marked-tail _mstmutation="1" data-anno-uid="anno-uid-1ttd3pl0b1l">
+      ,&nbsp;
+
+      </marked-tail><a _mstmutation="1" class="author" data-anno-uid="anno-uid-821y1jrhal">Pierre Fecteau</a> <marked-tail _mstmutation="1" data-anno-uid="anno-uid-5rjs7bpk8m">
+      ,&nbsp;
+
+      </marked-tail><a _mstmutation="1" class="author" data-anno-uid="anno-uid-3l4kye8ch3s" style="">Aaron Courville</a> <marked-tail _mstmutation="1" data-anno-uid="anno-uid-bdn224x527">
+      ,&nbsp;
+
+      </marked-tail><a _mstmutation="1" class="author" data-anno-uid="anno-uid-nazrkd1qll" style="">Yoshua Bengio</a> <marked-tail _mstmutation="1" data-anno-uid="anno-uid-jhx3bcjhjr">
+      ,&nbsp;
+
+      </marked-tail><a _mstmutation="1" class="author" data-anno-uid="anno-uid-2x31ngw6nxb" style="">Joseph Paul Cohen</a></font><i class="fas fa-info-circle" data-anno-uid="anno-uid-tyzo1t581s" data-content="&lt;b&gt;Affiliations&lt;/b&gt;&lt;p&gt;Mila, DIRO, Université de Montréal&lt;/p&gt;&lt;p&gt;&lt;b&gt;Profile&lt;/b&gt;&lt;br&gt;&lt;a href=/users/shanwtan target=_blank&gt;shanwtan&lt;/a&gt;&lt;/p&gt;" data-html="true" data-original-title="&lt;strong&gt;Author Info&lt;/strong&gt;" data-placement="bottom" data-toggle="popover" style="cursor: pointer;"></i><i class="fas fa-info-circle" data-anno-uid="anno-uid-9ii4y6bw5ap" data-content="&lt;b&gt;Affiliations&lt;/b&gt;&lt;p&gt;Mila&lt;/p&gt;&lt;p&gt;&lt;b&gt;Profile&lt;/b&gt;&lt;br&gt;&lt;a href=/users/satya target=_blank&gt;satya&lt;/a&gt;&lt;/p&gt;" data-html="true" data-original-title="&lt;strong&gt;Author Info&lt;/strong&gt;" data-placement="bottom" data-toggle="popover" style="cursor: pointer;"></i><i class="fas fa-info-circle" data-anno-uid="anno-uid-rly7jsu9b7f" data-content="&lt;b&gt;Affiliations&lt;/b&gt;&lt;p&gt;Icentia&lt;/p&gt;&lt;p&gt;&lt;b&gt;Profile&lt;/b&gt;&lt;br&gt;&lt;a href=/users/nicolasbg target=_blank&gt;nicolasbg&lt;/a&gt;&lt;/p&gt;" data-html="true" data-original-title="&lt;strong&gt;Author Info&lt;/strong&gt;" data-placement="bottom" data-toggle="popover" style="cursor: pointer;"></i><i class="fas fa-info-circle" data-anno-uid="anno-uid-4idhe35mnkg" data-content="&lt;b&gt;Affiliations&lt;/b&gt;&lt;p&gt;Icentia&lt;/p&gt;&lt;p&gt;&lt;b&gt;Profile&lt;/b&gt;&lt;br&gt;&lt;a href=/users/pfecteau target=_blank&gt;pfecteau&lt;/a&gt;&lt;/p&gt;" data-html="true" data-original-title="&lt;strong&gt;Author Info&lt;/strong&gt;" data-placement="bottom" data-toggle="popover" style="cursor: pointer;"></i><i class="fas fa-info-circle" data-anno-uid="anno-uid-j5ywrpxe08s" data-content="&lt;b&gt;Affiliations&lt;/b&gt;&lt;p&gt;Mila, DIRO, Université de Montréal&lt;/p&gt;&lt;p&gt;&lt;b&gt;Profile&lt;/b&gt;&lt;br&gt;&lt;a href=/users/aaroncourville target=_blank&gt;aaroncourville&lt;/a&gt;&lt;/p&gt;" data-html="true" data-original-title="&lt;strong&gt;Author Info&lt;/strong&gt;" data-placement="bottom" data-toggle="popover" style="cursor: pointer;"></i><i class="fas fa-info-circle" data-anno-uid="anno-uid-j9s8jt9iri" data-content="&lt;b&gt;Affiliations&lt;/b&gt;&lt;p&gt;University of Montreal&lt;br&gt;Mila&lt;/p&gt;&lt;p&gt;&lt;b&gt;Profile&lt;/b&gt;&lt;br&gt;&lt;a href=/users/yoshuabengio target=_blank&gt;yoshuabengio&lt;/a&gt;&lt;/p&gt;" data-html="true" data-original-title="&lt;strong&gt;Author Info&lt;/strong&gt;" data-placement="bottom" data-toggle="popover" style="cursor: pointer;"></i> <i class="fas fa-info-circle" data-anno-uid="anno-uid-z5onomcphp" data-content="&lt;b&gt;Affiliations&lt;/b&gt;&lt;p&gt;Mila, University of Montreal&lt;br&gt;Stanford University&lt;/p&gt;&lt;p&gt;&lt;b&gt;Profile&lt;/b&gt;&lt;br&gt;&lt;a href=/users/joecohen target=_blank&gt;joecohen&lt;/a&gt;&lt;/p&gt;" data-html="true" data-original-title="&lt;strong&gt;Author Info&lt;/strong&gt;" data-placement="bottom" data-toggle="popover" style="cursor: pointer;"></i>
+</strong>
+</p>
+<p data-anno-uid="anno-uid-cnta3v4xoct" style="">Published: April 12, 2022. Version: 1.0</p>
+<hr data-anno-uid="anno-uid-d6cf5tpyjpm">
+<!-- Latest news and announcements -->
+<div class="row" data-anno-uid="anno-uid-ba5prfronm9">
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+<div class="alert alert-secondary" data-anno-uid="anno-uid-p2tfyhweljc">
+<p data-anno-uid="anno-uid-uguh2i3p8vc">
+<font _mstmutation="1" data-anno-uid="anno-uid-uprpvfsje8q"><strong _mstmutation="1" class="" data-anno-uid="anno-uid-ib0mszurlej" style="">When using this resource, please cite: </strong>
+<a _mstmutation="1" data-anno-uid="anno-uid-n7fdd5axr1" data-toggle="modal" href="#citationModal" style="">(show more options)</a>
+<br _mstmutation="1" data-anno-uid="anno-uid-e1kngqypgoh"><span _mstmutation="1" data-anno-uid="anno-uid-tr8zoxvl4e"><marked-text data-anno-uid="anno-uid-8hzxsnjncn6" style="">Tan, S., Ortiz-Gagné, S., Beaudoin-Gagnon, N., Fecteau, P., Courville, A., Bengio, Y., &amp; Cohen, J. P. (2022). Icentia11k Single Lead Continuous Raw Electrocardiogram Dataset (version 1.0). </marked-text><i data-anno-uid="anno-uid-c1tvabnszjm">PhysioNet</i><marked-tail data-anno-uid="anno-uid-ntnp7pfrwh">. </marked-tail><a data-anno-uid="anno-uid-8n94ip2ax9f" href="https://doi.org/10.13026/kk0v-r952" style="">https://doi.org/10.13026/kk0v-r952</a><marked-tail data-anno-uid="anno-uid-zt4d10s4u6p">.</marked-tail></span></font>
+</p>
+<div class="modal fade" data-anno-uid="anno-uid-vfxslxe22js" id="citationModal">
+<div class="modal-dialog citation" data-anno-uid="anno-uid-18146z6dgnd" role="document">
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+<span aria-hidden="true" data-anno-uid="anno-uid-rp6fujt4s5i">×</span>
+</button>
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+<div class="modal-body" data-anno-uid="anno-uid-w81gkyohmw">
+<table data-anno-uid="anno-uid-7peib0g0uug"><tbody data-anno-uid="anno-uid-kaukk0ggvi">
+<tr data-anno-uid="anno-uid-avehiamgpr8">
+<th data-anno-uid="anno-uid-zdqwi3k712q">MLA</th>
+<td data-anno-uid="anno-uid-mau5yngj7il"><marked-text data-anno-uid="anno-uid-96e2dbbsl5w">Tan, Shawn, et al. "Icentia11k Single Lead Continuous Raw Electrocardiogram Dataset" (version 1.0). </marked-text><i data-anno-uid="anno-uid-vel4t7tvgma">PhysioNet</i><marked-tail data-anno-uid="anno-uid-rxy53by8kad"> (2022), </marked-tail><a data-anno-uid="anno-uid-cmxh182dhqf" href="https://doi.org/10.13026/kk0v-r952">https://doi.org/10.13026/kk0v-r952</a><marked-tail data-anno-uid="anno-uid-6mtq8i2ehdy">.</marked-tail></td>
+</tr>
+<tr data-anno-uid="anno-uid-xpdxynf334">
+<th data-anno-uid="anno-uid-cqdu5jbsyk9">APA</th>
+<td data-anno-uid="anno-uid-ds638di3izp"><marked-text data-anno-uid="anno-uid-7wqmt9g4ukc" style="">Tan, S., Ortiz-Gagné, S., Beaudoin-Gagnon, N., Fecteau, P., Courville, A., Bengio, Y., &amp; Cohen, J. P. (2022). Icentia11k Single Lead Continuous Raw Electrocardiogram Dataset (version 1.0). </marked-text><i data-anno-uid="anno-uid-8zov0zcyn2o">PhysioNet</i><marked-tail data-anno-uid="anno-uid-680y3l57zjd">. </marked-tail><a data-anno-uid="anno-uid-fkusbdi0k" href="https://doi.org/10.13026/kk0v-r952">https://doi.org/10.13026/kk0v-r952</a><marked-tail data-anno-uid="anno-uid-r5c23mwbrdl">.</marked-tail></td>
+</tr>
+<tr data-anno-uid="anno-uid-kkk5y1uphcd">
+<th data-anno-uid="anno-uid-4byi89iitea">Chicago</th>
+<td data-anno-uid="anno-uid-oupbuzhjr6"><marked-text data-anno-uid="anno-uid-79k6ur40ui9">Tan, Shawn, Ortiz-Gagné, Satya, Beaudoin-Gagnon, Nicolas, Fecteau, Pierre, Courville, Aaron, Bengio, Yoshua, and Joseph Paul Cohen. "Icentia11k Single Lead Continuous Raw Electrocardiogram Dataset" (version 1.0). </marked-text><i data-anno-uid="anno-uid-9v6g4nsrih8">PhysioNet</i><marked-tail data-anno-uid="anno-uid-7g7pwoim0x7"> (2022). </marked-tail><a data-anno-uid="anno-uid-pjmkef1zl3g" href="https://doi.org/10.13026/kk0v-r952">https://doi.org/10.13026/kk0v-r952</a><marked-tail data-anno-uid="anno-uid-qpipxfcvut">.</marked-tail></td>
+</tr>
+<tr data-anno-uid="anno-uid-qhult6je9d">
+<th data-anno-uid="anno-uid-zk7pbmqgmh">Harvard</th>
+<td data-anno-uid="anno-uid-t0lmfmia8a9"><marked-text data-anno-uid="anno-uid-t7u0hr7i6s">Tan, S., Ortiz-Gagné, S., Beaudoin-Gagnon, N., Fecteau, P., Courville, A., Bengio, Y., and Cohen, J. P. (2022) 'Icentia11k Single Lead Continuous Raw Electrocardiogram Dataset' (version 1.0), </marked-text><i data-anno-uid="anno-uid-4nsjhr1dkad">PhysioNet</i><marked-tail data-anno-uid="anno-uid-47wk8bru2i7">. Available at: </marked-tail><a data-anno-uid="anno-uid-z33u9v8wpd7" href="https://doi.org/10.13026/kk0v-r952">https://doi.org/10.13026/kk0v-r952</a><marked-tail data-anno-uid="anno-uid-d0n66bydtl">.</marked-tail></td>
+</tr>
+<tr data-anno-uid="anno-uid-og9pisrqpoc">
+<th data-anno-uid="anno-uid-mp5tj46ekza">Vancouver</th>
+<td data-anno-uid="anno-uid-4g06fh7jacb"><marked-text data-anno-uid="anno-uid-tgp7gb5rlw" style="">Tan S, Ortiz-Gagné S, Beaudoin-Gagnon N, Fecteau P, Courville A, Bengio Y, Cohen J P. Icentia11k Single Lead Continuous Raw Electrocardiogram Dataset (version 1.0). PhysioNet. 2022. Available from: </marked-text><a data-anno-uid="anno-uid-ezihy8udlbk" href="https://doi.org/10.13026/kk0v-r952">https://doi.org/10.13026/kk0v-r952</a><marked-tail data-anno-uid="anno-uid-i3ggwf4s0h">.</marked-tail></td>
+</tr>
+</tbody></table>
+</div>
+<div class="modal-footer" data-anno-uid="anno-uid-cw1586gtsy9">
+<button class="btn btn-secondary" data-anno-uid="anno-uid-hc2jjovng3u" data-dismiss="modal" type="button">Close</button>
+</div>
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+<strong data-anno-uid="anno-uid-4iit5x7eoha" style="">Additionally, please cite the original publication:</strong>
+<p data-anno-uid="anno-uid-zcy3feqxmo"><a data-anno-uid="anno-uid-31rk0bepxl" href="https://www.cinc.org/2021/Program/accepted/229_Preprint.pdf" style="">Tan, S., Androz, G., Ortiz-Gagné, S., Chamseddine, A., Fecteau, P., Courville, A., Bengio, Y., &amp; Cohen, J. P. (2021, October 21). Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery. Computing in Cardiology Conference (CinC).</a></p>
+<p data-anno-uid="anno-uid-5s834gu364e">
+<font _mstmutation="1" data-anno-uid="anno-uid-w3y998nc9d"><strong _mstmutation="1" data-anno-uid="anno-uid-ckk81dbcntd" style="">Please include the standard citation for PhysioNet:</strong>
+<a _mstmutation="1" data-anno-uid="anno-uid-txeq5u5m2fl" data-toggle="modal" href="#citationModalPlatform">(show more options)</a>
+<br _mstmutation="1" data-anno-uid="anno-uid-15cb4v11inj"><span _mstmutation="1" data-anno-uid="anno-uid-iw22qanbg3r" style="">Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... &amp; Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.</span></font>
+</p>
+<div class="modal fade" data-anno-uid="anno-uid-6y0v0l8mbwp" id="citationModalPlatform">
+<div class="modal-dialog citation" data-anno-uid="anno-uid-jb5kry9ga2r" role="document">
+<div class="modal-content" data-anno-uid="anno-uid-lap04wehjh">
+<div class="modal-header" data-anno-uid="anno-uid-snot0l4pxgj">
+<h5 class="modal-title" data-anno-uid="anno-uid-lcz7snvr8ft">Cite</h5>
+<button _mstaria-label="59709" aria-label="Close" class="close" data-anno-uid="anno-uid-7m4tlbi9lku" data-dismiss="modal" type="button">
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+<div class="modal-body" data-anno-uid="anno-uid-y9l6s3lyvm9">
+<table data-anno-uid="anno-uid-dbyqutqd76v"><tbody data-anno-uid="anno-uid-6d7xcvng1fe">
+<tr data-anno-uid="anno-uid-esoognbdgr">
+<th data-anno-uid="anno-uid-up5uyyyemgh">APA</th>
+<td data-anno-uid="anno-uid-fgm9ecqeoo">Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... &amp; Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.</td>
+</tr>
+<tr data-anno-uid="anno-uid-fqrt1b1eyy">
+<th data-anno-uid="anno-uid-1yxh3833xvf">MLA</th>
+<td data-anno-uid="anno-uid-ddlhm2fv4lj" style="">Goldberger, A., et al. "PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220." (2000).</td>
+</tr>
+<tr data-anno-uid="anno-uid-r95aa7a45gj">
+<th data-anno-uid="anno-uid-28rwzgqh806">CHICAGO</th>
+<td data-anno-uid="anno-uid-sdzm9z4wsdo">Goldberger, A., L. Amaral, L. Glass, J. Hausdorff, P. C. Ivanov, R. Mark, J. E. Mietus, G. B. Moody, C. K. Peng, and H. E. Stanley. "PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220." (2000).</td>
+</tr>
+<tr data-anno-uid="anno-uid-c6kc6bsetu">
+<th data-anno-uid="anno-uid-oubb2xw16b">HARVARD</th>
+<td data-anno-uid="anno-uid-emv81q3vnb8">Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P.C., Mark, R., Mietus, J.E., Moody, G.B., Peng, C.K. and Stanley, H.E., 2000. PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.</td>
+</tr>
+<tr data-anno-uid="anno-uid-rxcb5rw81a">
+<th data-anno-uid="anno-uid-a6wuwnrsbog">VANCOUVER</th>
+<td data-anno-uid="anno-uid-7wqoygysqdl">Goldberger A, Amaral L, Glass L, Hausdorff J, Ivanov PC, Mark R, Mietus JE, Moody GB, Peng CK, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.</td>
+</tr>
+</tbody></table>
+</div>
+<div class="modal-footer" data-anno-uid="anno-uid-yp5athzo9br">
+<button class="btn btn-secondary" data-anno-uid="anno-uid-u15fkivcl08" data-dismiss="modal" type="button">Close</button>
+</div>
+</div>
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+</div>
+</div>
+<h2 cc-select="true" class="mark-selected" data-anno-uid="anno-uid-h9in5s4yv3" id="abstract" style="">Abstract</h2>
+<p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-rp4nezekvmq" style="">This is a dataset of continuous raw electrocardiogram (ECG) signals containing 11 thousand patients and 2 billion labelled beats. The signals were recorded with a 16-bit resolution at 250Hz with a fixed chest mounted single lead probe for up to 2 weeks. The average age of the patient is 62.2±17.4 years. 20 technologists annotated each beat's type (Normal, Premature Atrial Contraction, Premature Ventricular contraction) and rhythm (Normal Sinusal Rhythm, Atrial Fibrillation, Atrial Flutter).</p>
+<hr data-anno-uid="anno-uid-rrfmeayoro">
+<h2 cc-select="true" class="mark-selected" data-anno-uid="anno-uid-wayiwpe5qxs" id="background" style="">Background</h2>
+<p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-d0k3svx5w5" style="">Arrhythmia detection is presently performed by cardiologists or technologists familiar with ECG readings. Recently, supervised machine learning has been successfully applied to perform automated detection of many arrhythmias [1,2,3,4]. However, there may be ECG anomalies that warrant further investigation because they do not fit the morphology of presently known arrhythmia. We seek to use a data driven approach to finding these differences that cardiologists have anecdotally observed.&nbsp;Existing public ECG datasets include the the MIMIC-III Waveform Database and the ECG-ViEW II dataset [5,6]. Here we present&nbsp;Icentia11k, a dataset of continuous raw electrocardiogram (ECG) signals containing 11 thousand patients and 2 billion labelled beats</p>
+<hr data-anno-uid="anno-uid-xwfrlsbvo8j">
+<h2 cc-select="true" class="mark-selected" data-anno-uid="anno-uid-5rb34rbr9ou" id="methods" style="">Methods</h2>
+<p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-5tvdk9wlra6" style="">Our data is collected by the CardioSTAT, a single-lead heart monitor device from Icentia [7]. The raw signals were recorded with a 16-bit resolution and sampled at 250Hz with the CardioSTAT in a modified lead 1 position. The wealth of data this provides us can allow us to improve on the techniques currently used by the medical industry to process days worth of ECG data, and perhaps to catch anomalous events earlier than currently possible.</p>
+<p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-xcsct67x41" style="">The dataset is processed from data provided by 11,000 patients who used the CardioSTAT device predominantly in Ontario, Canada, from various medical centers. While the device captures ECG data for up to two weeks, the majority of the prescribed duration of wear was one week.</p>
+<p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-o4b4ip045zi" style="">The data is analyzed by Icentia's team of 20 technologists who performed annotation using proprietary analysis tools. Initial beat detection is performed automatically and then a technologist analyses the record labelling beat and rhythm types performing a full disclosure analysis (i.e. they see the whole recording). Finally the analysis is approved by a senior technologist before making it to the dataset.</p>
+<p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-69fqes9fa8k" style="">The ethics institutional review boards at the&nbsp;Université de Montréal approved the study and release of data (CERSES-19-065-D).</p>
+<hr data-anno-uid="anno-uid-b57vtv911ei">
+<h2 cc-select="true" class="mark-selected" data-anno-uid="anno-uid-6jgm1h7n5db" id="description" style="">Data Description</h2>
+<p data-anno-uid="anno-uid-6wsl4rtpbju"><marked-text cc-select="true" class="mark-selected" data-anno-uid="anno-uid-72m97v9ll6" style="">We segment each patient record into segments of </marked-text><math data-anno-uid="anno-uid-v96m335pd5"> <semantics data-anno-uid="anno-uid-4y53r8tfwp"> <mrow data-anno-uid="anno-uid-a4rl4pur3hq"> <msup data-anno-uid="anno-uid-h47gjihk4h"> <mn _msthash="78" cc-select="true" class="mark-selected" data-anno-uid="anno-uid-5dk4qz8lnyp" style="">2</mn> <mrow class="MJX-TeXAtom-ORD" data-anno-uid="anno-uid-o5y67xmox8"> <mn _msthash="79" cc-select="true" class="mark-selected" data-anno-uid="anno-uid-panc62xepxm" style="">20</mn> </mrow> </msup> <mo cc-select="true" class="mark-selected" data-anno-uid="anno-uid-nq8pezpqp6m" style="">+</mo> <mn _msthash="80" cc-select="true" class="mark-selected" data-anno-uid="anno-uid-oxrox9z9zpr" style="">1</mn> </mrow> <annotation _msthash="81" data-anno-uid="anno-uid-gysfono0fqm" encoding="application/x-tex">2^{20}+1</annotation> </semantics> </math><marked-tail cc-select="true" class="mark-selected" data-anno-uid="anno-uid-6wbul191l9p" style="">&nbsp;signal samples (≈70 minutes). This longer time context was informed by discussions with technologists: the context is useful for rhythm detection. We made it a power of two with a middle sample to allow for easier convolution stack parameterization. From this, we randomly select 50 of the segments and their respective labels from the list of segments. The goal here is to reduce the size of the dataset while maintaining a fair representation of each patient.</marked-tail></p>
+<h3 cc-select="true" class="mark-selected" data-anno-uid="anno-uid-1sa7ti0l2po" style="">Data structure</h3>
+<p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-cftcnwf4f5u" style="">The data is structured into patients and segments.</p>
+<h4 cc-select="true" class="mark-selected" data-anno-uid="anno-uid-joh9dn35qlm" style="">Patient level (3-14 days)</h4>
+<p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-e1ykwxlg55" style="">At this level, the data can capture features which vary in a systematic way and not isolated events, like the placement of the probes or patient specific noise.</p>
+<h4 cc-select="true" class="mark-selected" data-anno-uid="anno-uid-lonx0b08xo">Segment level&nbsp;(1,048,577 int16 samples, approximately 1 hour)</h4>
+<p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-a0ihisjuv9v" style="">A cardiologist can look at a specific segment and identify patterns which indicate a disease while ignoring noise from the signal such as a unique signal amplitude. Looking at trends in the segment help to correctly identify arrhythmia as half an hour provides the necessary context to observe the stress of a specific activity.</p>
+<h3 cc-select="true" class="mark-selected" data-anno-uid="anno-uid-vo6sw65djoq" style="">Aggregate statistics</h3>
+<p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-6ew20akp3s" style="">Aggregate statistics are shown below:</p>
+<table data-anno-uid="anno-uid-m3y2x6g6kcl">
+<thead data-anno-uid="anno-uid-weddzisk0uh">
+<tr data-anno-uid="anno-uid-cxzylejxkcl">
+<th cc-select="true" class="mark-selected" data-anno-uid="anno-uid-e3xcmgsvw3f">Statistic</th>
+<th cc-select="true" class="mark-selected" data-anno-uid="anno-uid-nqkwh740p5c" style=""># (units)</th>
+</tr>
+</thead>
+<tbody data-anno-uid="anno-uid-6f2hjaxpybp">
+<tr data-anno-uid="anno-uid-7g9m9t5zagr">
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-bdukjnaisn4">Number of patients</td>
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-5v3d7zw5acj" style="">11,000</td>
+</tr>
+<tr data-anno-uid="anno-uid-0kcamqmvdlaa">
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-kk2qqn1rlll">Number of labeled beats</td>
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-zhp0q531ss9" style="">2,774,054,987</td>
+</tr>
+<tr data-anno-uid="anno-uid-ywnpt7j3af">
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-vak3ajnzsdi">Sample rate</td>
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-wrzidqwel9p">250Hz</td>
+</tr>
+<tr data-anno-uid="anno-uid-0az7w0ia8qe">
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-4kglr8cuzyp">Segment size</td>
+<td data-anno-uid="anno-uid-zalrg4kjjj"><math data-anno-uid="anno-uid-pg9gm3cex1"> <semantics data-anno-uid="anno-uid-oerwiaql6g"> <mrow data-anno-uid="anno-uid-qasjvq559u"> <msup data-anno-uid="anno-uid-m1f0o278g9a"> <mn _msthash="100" cc-select="true" class="mark-selected" data-anno-uid="anno-uid-sv1wsoeip4a">2</mn> <mrow class="MJX-TeXAtom-ORD" data-anno-uid="anno-uid-k8echsydq4"> <mn _msthash="101" cc-select="true" class="mark-selected" data-anno-uid="anno-uid-rt8s1vkl04l">20</mn> </mrow> </msup> <mo cc-select="true" class="mark-selected" data-anno-uid="anno-uid-j29iw5g6no8">+</mo> <mn _msthash="102" cc-select="true" class="mark-selected" data-anno-uid="anno-uid-tk6p9i5qsz">1</mn> </mrow> <annotation _msthash="103" data-anno-uid="anno-uid-vllvm4zrj0h" encoding="application/x-tex">2^{20}+1</annotation> </semantics> </math><marked-tail cc-select="true" class="mark-selected" data-anno-uid="anno-uid-zo0dmwutvz7">&nbsp;= 1,048,577</marked-tail></td>
+</tr>
+<tr data-anno-uid="anno-uid-l2lwzj023d">
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-32anpyk7idr">Total number of segments</td>
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-2w7snhf3br6" style="">541,794 (not all patients have enough for 50 segments)</td>
+</tr>
+</tbody>
+</table>
+<p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-r1hiq28n9pb" style="">Beats are annotated in&nbsp;ann.symbols at the R timepoint&nbsp;in the QRS complex. The timepoint in the rec.signal for each annotation is found in ann.sample Below shows the counts for beats over the entire dataset. There are also annotations with a '+' symbol which just mean there is a rhythm annotation (next table).</p>
+<table data-anno-uid="anno-uid-vawk1aslakm">
+<thead data-anno-uid="anno-uid-gtb3ofllt26">
+<tr data-anno-uid="anno-uid-t84mt1kizbf">
+<th cc-select="true" class="mark-selected" data-anno-uid="anno-uid-9xhsk3zawug">Symbol</th>
+<th cc-select="true" class="mark-selected" data-anno-uid="anno-uid-kia4zifbbmi">Beat Description</th>
+<th cc-select="true" class="mark-selected" data-anno-uid="anno-uid-wg6fzyvfy4">Count</th>
+</tr>
+</thead>
+<tbody data-anno-uid="anno-uid-o9fohw9d3y">
+<tr data-anno-uid="anno-uid-cpqealg89ar">
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-ybabnm8081" style="text-align: center;">N</td>
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-db6jtlbclj" style="">Normal</td>
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-fgu6paauwqk" style="text-align: right;">2,061,141,216</td>
+</tr>
+<tr data-anno-uid="anno-uid-apr5yujciok">
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-jg9bit08hp" style="text-align: center;">S</td>
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-ywru3y450kn">ESSV (PAC): Premature or ectopic supraventricular beat, premature atrial contraction</td>
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-tc0q53l1th" style="text-align: right;">19,346,728</td>
+</tr>
+<tr data-anno-uid="anno-uid-vqc7chewl2">
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-0tum9vxk63o" style="text-align: center;">V</td>
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-l53qez75rj">ESV (PVC): Premature ventricular contraction, premature ventricular contraction</td>
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-75irr37ffnx" style="text-align: right;">17,203,041</td>
+</tr>
+<tr data-anno-uid="anno-uid-e5ru20x8l0p">
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-3g1de6wgv18" style="text-align: center;">Q</td>
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-v3mrq2xneac">Undefined: Unclassifiable beat</td>
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-58016jh8wnj" style="text-align: right;">676,364,002</td>
+</tr>
+</tbody>
+</table>
+<p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-n3o3ch9xhdp" style="">Rhythms are annotated in ann.aux_note at each timepoint.&nbsp;For example a normal sinusal rhythm will start with a '(N' annotation and then end with a ')' annotation. The entire sequence in between is annotated as a&nbsp;normal sinusal rhythm. Below are the counts of each annotated region which could be one beat or thousands.</p>
+<table data-anno-uid="anno-uid-8jjjaincx0f">
+<thead data-anno-uid="anno-uid-im0f7403lyd">
+<tr data-anno-uid="anno-uid-t5p8vdrp1l">
+<th cc-select="true" class="mark-selected" data-anno-uid="anno-uid-fwm2nesqbo5" style="text-align: center;">Symbol</th>
+<th cc-select="true" class="mark-selected" data-anno-uid="anno-uid-cbdoomj48im">Rhythm Labels</th>
+<th cc-select="true" class="mark-selected" data-anno-uid="anno-uid-jtnqpjjsozs" style="text-align: right;">Count</th>
+</tr>
+</thead>
+<tbody data-anno-uid="anno-uid-stfy2tchk0s">
+<tr data-anno-uid="anno-uid-w36mw6oeep8">
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-6ssju8xeca5" style="text-align: center;">(N ... )</td>
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-s1eop0xncxi">NSR (Normal sinusal rhythm)</td>
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-2tqd2yvaali" style="text-align: right;">16,083,158</td>
+</tr>
+<tr data-anno-uid="anno-uid-d9zu0cgzgyu">
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-yib92mdrky" style="text-align: center;">(AFIB ... )</td>
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-crlnsv24ti9">AFib (Atrial fibrillation)</td>
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-ik05h44se6q" style="text-align: right;">848,564</td>
+</tr>
+<tr data-anno-uid="anno-uid-7g7nn18dsu6">
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-6rnpgusayya" style="text-align: center;">(AFL ... )</td>
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-vspdttfhucq">AFlutter (Atrial flutter)</td>
+<td cc-select="true" class="mark-selected" data-anno-uid="anno-uid-xk5b8ba6sco" style="text-align: right;">313,251</td>
+</tr>
+</tbody>
+</table>
+<p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-6t35hyomsw">Details on how the dataset is encoded into wfdb format are available on GitHub [8].</p>
+<hr data-anno-uid="anno-uid-6hfi77rg5pt">
+<h2 cc-select="true" class="mark-selected" data-anno-uid="anno-uid-fbeiah3mds" id="usage-notes">Usage Notes</h2>
+<p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-8tvpyb0pr4t" style="">By releasing this dataset, we seek to enable the research community to develop better models for detection of arrhythmia and related heart disease.&nbsp;The dataset is described in more detail in our accompanying paper [9], which&nbsp;also describes our efforts to evaluation existing models for classification of&nbsp;arrhythmia. Code for working with the data, including executable notebooks, is available on GitHub [8].</p>
+<h3 cc-select="true" class="mark-selected" data-anno-uid="anno-uid-phl18mr3qja" style="">Example code</h3>
+<p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-w5a3ilfe44p" style="">To look at patient 9000&nbsp;and segment 0&nbsp;the filename would be:&nbsp;p09/09000/p09000_s00 and it can loaded using wfdb as follows:</p>
+<pre data-anno-uid="anno-uid-l0pt9ntnvo"><code cc-select="true" class="mark-selected" data-anno-uid="anno-uid-miejjyoc1q" style="">import wfdb
+patient_id=9000
+segment_id=0
+start=2000
+length=1024
+filename = f'{data_path}/p0{str(patient_id)[:1]}/p{patient_id:05d}/p{patient_id:05d}_s{segment_id:02d}'
+rec = wfdb.rdrecord(filename, sampfrom=start, sampto=start+length)
+ann = wfdb.rdann(filename, "atr", sampfrom=start, sampto=start+length, shift_samps=True)
+wfdb.plot_wfdb(rec, ann, plot_sym=True, figsize=(15,4));</code></pre>
+<h3 cc-select="true" class="mark-selected" data-anno-uid="anno-uid-14jkb7pt3uii" style="">Limitations</h3>
+<p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-34tcur6mn73" style="">It should be noted that since the people who wear the device are patients, the dataset does not represent a true random sample of the global population. &nbsp;For one, the average age of the patient is 62.2±17.4 years of age. &nbsp;Furthermore, whereas the CardioSTAT can be worn by any patient, it is mostly used for third line exam, so the majority of records in the dataset exhibit arrhythmias. No particular effort has been done on patient selection except data collection has been conducted over years 2017 and 2018.</p>
+<hr data-anno-uid="anno-uid-lun7d4p3yy">
+<h2 cc-select="true" class="mark-selected" data-anno-uid="anno-uid-zzkd1ywv7kg" id="release-notes" style="">Release Notes</h2>
+<p data-anno-uid="anno-uid-6nev0kcqhtt"><strong cc-select="true" class="mark-selected" data-anno-uid="anno-uid-sdptoybq4u">Version 1.0</strong><marked-tail cc-select="true" class="mark-selected" data-anno-uid="anno-uid-adf7kurgco" style="">: First release on PhysioNet. Prior to this release&nbsp;data was made available&nbsp;on AcademicTorrents [10].</marked-tail></p>
+<hr data-anno-uid="anno-uid-p6rja7vgtok">
+<h2 cc-select="true" class="mark-selected" data-anno-uid="anno-uid-96rwulwaiyc" id="ethics" style="">Ethics</h2>
+<p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-oqydenmxhl" style="">The authors declare no ethics concerns.&nbsp;The ethics institutional review boards at the University&nbsp;of&nbsp;Montreal approved the study and release&nbsp;of data (#CERSES-19-065-D).</p>
+<hr data-anno-uid="anno-uid-babpoponuv">
+<h2 cc-select="true" class="mark-selected" data-anno-uid="anno-uid-qyt6409sxvm" id="acknowledgements" style="">Acknowledgements</h2>
+<p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-ht32t0x3qg8" style="">We thank Leon Glass, Yannick Le Devehat, Germain Ethier, and Margaux Luck, Kris Sankaran, and Gabriele Prato for useful discussions. This work is partially funded by a grant from Icentia, Fonds de Recherche en Santé&nbsp;du Québec, and the Institut de valorisation des donnees (IVADO). This work utilized the supercomputing facilities managed by Compute Canada and Calcul Quebec. We thank AcademicTorrents.com for making data available for our research.</p>
+<hr data-anno-uid="anno-uid-ps127wc4mk">
+<h2 cc-select="true" class="mark-selected" data-anno-uid="anno-uid-gsquitp5yd" id="conflicts-of-interest">Conflicts of Interest</h2>
+<p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-j6041xmz3gr">None</p>
+<hr data-anno-uid="anno-uid-8t6968dnw3x">
+<h2 cc-select="true" class="mark-selected" data-anno-uid="anno-uid-7g3secq4lmq" id="references" style="">References</h2>
+<ol data-anno-uid="anno-uid-ncxh58uxhy">
+<li cc-select="true" class="mark-selected" data-anno-uid="anno-uid-2v2wdprod55" style="">Hannun AY, Rajpurkar P, Haghpanahi M, Tison GH, Bourn C, Turakhia MP, Ng AY. Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network. Nature Medicine 2019</li>
+<li cc-select="true" class="mark-selected" data-anno-uid="anno-uid-fwgqqoeyz4" style="">Yıldırım O, Pławiak P, Tan RS, Acharya UR. Arrhythmia detection using deep convolutional neural network with long duration ecg signals. Computers in biology and medicine 2018.</li>
+<li cc-select="true" class="mark-selected" data-anno-uid="anno-uid-ryhjc6tf01p" style="">Minchole A, Rodriguez B. Artificial intelligence for the electrocardiogram. Nature Medicine 1 2019.</li>
+<li cc-select="true" class="mark-selected" data-anno-uid="anno-uid-bhpoilgklm" style="">Porumb M, Iadanza E, Massaro S, Pecchia L. A convolutional neural network approach to detect congestive heart failure. Biomedical Signal Processing and Control 2020.</li>
+<li cc-select="true" class="mark-selected" data-anno-uid="anno-uid-jy9hxdx9te" style="">Johnson, A., Pollard, T., &amp; Mark, R. (2016). MIMIC-III Clinical Database (version 1.4). PhysioNet. https://doi.org/10.13026/C2XW26.</li>
+<li cc-select="true" class="mark-selected" data-anno-uid="anno-uid-j8c7vm8yf2e" style="">Kim YG, Shin D, Park MY, Lee S, Jeon MS, Yoon D, Park RW. ECG-ViEW II, a freely accessible electrocardiogram database. PloS one 2017.</li>
+<li cc-select="true" class="mark-selected" data-anno-uid="anno-uid-nw0m1ny0jbj" style="">Icentia website. https://www.icentia.com/</li>
+<li cc-select="true" class="mark-selected" data-anno-uid="anno-uid-x4vptqvni4p" style="">Icentia11k project on GitHub. https://github.com/shawntan/icentia-ecg/tree/master/physionet</li>
+<li cc-select="true" class="mark-selected" data-anno-uid="anno-uid-eqiaox3oy9v" style="">Tan, S., Androz, G., Ortiz-Gagné, S., Chamseddine, A., Fecteau, P., Courville, A., Bengio, Y., &amp; Cohen, J. P. (2021, October 21). Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery. Computing in Cardiology Conference (CinC). https://www.cinc.org/2021/Program/accepted/229_Preprint.pdf</li>
+<li cc-select="true" class="mark-selected" data-anno-uid="anno-uid-w1yluq41ayk" style="">Icentia11k Dataset on Academic Torrents. https://academictorrents.com/details/af04abfe9a3c96b30e5dd029eb185e19a7055272</li>
+</ol>
+<hr data-anno-uid="anno-uid-so03cw78sls">
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+<a class="dropdown-item" data-anno-uid="anno-uid-uqkbm55lwi" href="#ethics" style="">Ethics</a>
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+<a class="dropdown-item" data-anno-uid="anno-uid-69jov7lc0i6" href="#conflicts-of-interest" style="">Conflicts of Interest</a>
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+<p data-anno-uid="anno-uid-z0qal833gd9">
+<font _mstmutation="1" data-anno-uid="anno-uid-6wc8o78zedc"><strong _mstmutation="1" class="" data-anno-uid="anno-uid-4dgmqg6rqgh" style="">Access Policy:</strong>
+<br _mstmutation="1" data-anno-uid="anno-uid-n9j4r33rmep"><marked-tail _mstmutation="1" class="" data-anno-uid="anno-uid-2cs4uzwce8h" style="">
+            Anyone can access the files, as long as they conform to the terms of the specified license.
+          </marked-tail></font></p>
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+<font _mstmutation="1" data-anno-uid="anno-uid-sjqt4tus5cf"><strong _mstmutation="1" class="" data-anno-uid="anno-uid-y7z0jbwdoon" style="">License (for files):</strong>
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+</p>
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+<div class="card my-4" data-anno-uid="anno-uid-o0qzleeid2a">
+<h5 class="card-header" data-anno-uid="anno-uid-ebx0rt8h1g" style="">Discovery</h5>
+<div class="card-body" data-anno-uid="anno-uid-nz4042sinuq">
+<p data-anno-uid="anno-uid-y8neg3i37jq"><font _mstmutation="1" data-anno-uid="anno-uid-0pfr96cndoma"><strong _mstmutation="1" class="" data-anno-uid="anno-uid-8n05ynxn3vc" style="">DOI:</strong>
+<br _mstmutation="1" data-anno-uid="anno-uid-vyo4jdu9tpl">
+<a _mstmutation="1" class="" data-anno-uid="anno-uid-ysfojwldfgh" href="https://doi.org/10.13026/kk0v-r952" style="">https://doi.org/10.13026/kk0v-r952</a></font>
+</p>
+<p data-anno-uid="anno-uid-gu654ugid2d"><strong class="" data-anno-uid="anno-uid-5l0hraoecpw" style="">Topics:</strong>
+<br data-anno-uid="anno-uid-7o6cdhmidc">
+<a data-anno-uid="anno-uid-v2eik91dpzk" href="https://physionet.org/content/?topic=representation+learning"><span class="badge badge-pn" data-anno-uid="anno-uid-mr7rxhu0v" style="">representation learning</span></a>
+<a data-anno-uid="anno-uid-2235sbdj0ia" href="https://physionet.org/content/?topic=ecg"><span class="badge badge-pn" data-anno-uid="anno-uid-l2nqedwkzgp" style="">ecg</span></a>
+</p>
+<p data-anno-uid="anno-uid-yeofwdsvve"><strong class="" data-anno-uid="anno-uid-m15hddj3lv" style="">Project Website:</strong>
+<br data-anno-uid="anno-uid-5562xcqozxr">
+<a data-anno-uid="anno-uid-0zsph489wnqj" href="https://github.com/shawntan/icentia-ecg"><i class="fas fa-external-link-alt" data-anno-uid="anno-uid-0jb11nhwkjcs"></i><marked-tail class="" data-anno-uid="anno-uid-zvm2l1ahce" style=""> https://github.com/shawntan/icentia-ecg</marked-tail></a>
+</p>
+</div>
+</div>
+<div class="card my-4" data-anno-uid="anno-uid-s8b8m2oons">
+<h5 class="card-header" data-anno-uid="anno-uid-h7qa4yar119" style="">Corresponding Author</h5>
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+<em class="" data-anno-uid="anno-uid-3d8xckth4h8" style="">You must be logged in to view the contact information.</em>
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+<h2 class="" data-anno-uid="anno-uid-job14ecq05r" id="files" style="">Files</h2>
+<p class="" data-anno-uid="anno-uid-sc11yubebgh" style="">Total uncompressed size: 1.1 TB.
+
+        </p><h5 class="" data-anno-uid="anno-uid-t0i1hj40fia" style="">Access the files</h5>
+<ul data-anno-uid="anno-uid-1goh0i20k84i">
+<li data-anno-uid="anno-uid-3qihlgrbl2x"><a class="" data-anno-uid="anno-uid-ckg30fcg4gl" href="https://physionet.org/static/published-projects/icentia11k-continuous-ecg/icentia11k-single-lead-continuous-raw-electrocardiogram-dataset-1.0.zip">Download the ZIP file</a><marked-tail class="" data-anno-uid="anno-uid-jswoftcgcs"> (188.3 GB)</marked-tail></li>
+<li data-anno-uid="anno-uid-rvjl4h22l9b"><marked-text class="" data-anno-uid="anno-uid-3rqav3lz73">Download the files using your terminal: </marked-text><pre class="shell-command" data-anno-uid="anno-uid-v95kvfk60kq" style="">wget -r -N -c -np https://physionet.org/files/icentia11k-continuous-ecg/1.0/</pre></li>
+</ul>
+<p data-anno-uid="anno-uid-zpdgifyg2id"><a data-anno-uid="anno-uid-8o89f1yn3hf" href="https://physionet.org/lightwave/?db=icentia11k-continuous-ecg/1.0"><i class="fas fa-chart-line" data-anno-uid="anno-uid-9m3hswtyxrv"></i><marked-tail class="" data-anno-uid="anno-uid-8thpjja8j3"> Visualize waveforms</marked-tail></a></p>
+<div class="card" data-anno-uid="anno-uid-ww1j9hnjxoi" id="files-panel">
+<div class="card-header" data-anno-uid="anno-uid-95gwwuzuc"><font _mstmutation="1" data-anno-uid="anno-uid-bq30kgpezva"><marked-text _mstmutation="1" class="" data-anno-uid="anno-uid-t1piwxxhro9" style="">
+  Folder Navigation:
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+<tr data-anno-uid="anno-uid-d9yklg3njck">
+<th class="" data-anno-uid="anno-uid-n1dtbm0h0tm">Name</th>
+<th class="" data-anno-uid="anno-uid-uqnpv5clyn" style="">Size</th>
+<th class="" data-anno-uid="anno-uid-ptvxsy6a6j">Modified</th>
+</tr>
+</thead>
+<tbody data-anno-uid="anno-uid-82chh2hnszb">
+<tr class="parentdir" data-anno-uid="anno-uid-lwba475spp">
+<td data-anno-uid="anno-uid-hvesgr2ofgh"><a class="" data-anno-uid="anno-uid-6635zsprizb" href="../#files-panel" onclick="return navigateDir('p06')">Parent Directory</a></td>
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+<td data-anno-uid="anno-uid-moxn2zzdqe"><a class="" data-anno-uid="anno-uid-62a20xt7716" href="https://physionet.org/content/icentia11k-continuous-ecg/1.0/p06/p06073/RECORDS">RECORDS</a>
+<a class="download" data-anno-uid="anno-uid-qepiilknfpl" href="https://physionet.org/files/icentia11k-continuous-ecg/1.0/p06/p06073/RECORDS?download" title="Download RECORDS">
+<span class="visually-hidden" data-anno-uid="anno-uid-5a9knpq6uf7">(download)</span>
+</a>
+</td>
+<td class="" data-anno-uid="anno-uid-cw1tvcppu7u" style="">550 B</td>
+<td class="" data-anno-uid="anno-uid-265mqcnxxgm">2022-02-13</td>
+</tr>
+<tr data-anno-uid="anno-uid-8fp3t5o1h1y">
+<td data-anno-uid="anno-uid-li56itlt3jg"><a class="" data-anno-uid="anno-uid-y9g082e4ucd" href="https://physionet.org/content/icentia11k-continuous-ecg/1.0/p06/p06073/p06073_s00.atr">p06073_s00.atr</a>
+<a class="download" data-anno-uid="anno-uid-jz1f7wlwql" href="https://physionet.org/files/icentia11k-continuous-ecg/1.0/p06/p06073/p06073_s00.atr?download" title="Download p06073_s00.atr">
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+<td class="" data-anno-uid="anno-uid-r6j8w16fd3n" style="">36.9 KB</td>
+<td class="" data-anno-uid="anno-uid-i8k82bfohek">2022-02-13</td>
+</tr>
+<tr data-anno-uid="anno-uid-km5je3ob4x">
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+<a class="download" data-anno-uid="anno-uid-d9f9m85t0w9" href="https://physionet.org/files/icentia11k-continuous-ecg/1.0/p06/p06073/p06073_s00.dat?download" title="Download p06073_s00.dat">
+<span class="visually-hidden" data-anno-uid="anno-uid-klemxdt02p">(download)</span>
+</a>
+</td>
+<td class="" data-anno-uid="anno-uid-491l9tyuvqu">2 MB</td>
+<td class="" data-anno-uid="anno-uid-w62xokbnnh8">2022-02-13</td>
+</tr>
+<tr data-anno-uid="anno-uid-ei6d7chc447">
+<td data-anno-uid="anno-uid-agrrp0j8lh9"><a class="" data-anno-uid="anno-uid-6htuliadzgv" href="https://physionet.org/content/icentia11k-continuous-ecg/1.0/p06/p06073/p06073_s00.hea">p06073_s00.hea</a>
+<a class="download" data-anno-uid="anno-uid-jwybajyauog" href="https://physionet.org/files/icentia11k-continuous-ecg/1.0/p06/p06073/p06073_s00.hea?download" title="Download p06073_s00.hea">
+<span class="visually-hidden" data-anno-uid="anno-uid-k6suabbzll">(download)</span>
+</a>
+</td>
+<td class="" data-anno-uid="anno-uid-5x8t4xqit7r">87 B</td>
+<td class="" data-anno-uid="anno-uid-qnbrht34vqe">2022-02-13</td>
+</tr>
+<tr data-anno-uid="anno-uid-ktevuapeiok">
+<td data-anno-uid="anno-uid-5e8lxpzrv07"><a class="" data-anno-uid="anno-uid-k0mk09cbvx7" href="https://physionet.org/content/icentia11k-continuous-ecg/1.0/p06/p06073/p06073_s01.atr">p06073_s01.atr</a>
+<a class="download" data-anno-uid="anno-uid-iq5o2j8dtd" href="https://physionet.org/files/icentia11k-continuous-ecg/1.0/p06/p06073/p06073_s01.atr?download" title="Download p06073_s01.atr">
+<span class="visually-hidden" data-anno-uid="anno-uid-mg0k7riugvh">(download)</span>
+</a>
+</td>
+<td class="" data-anno-uid="anno-uid-pif4m9c8cu">43.0 KB</td>
+<td class="" data-anno-uid="anno-uid-hbqz7s1l70o">2022-02-13</td>
+</tr>
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+</div>
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+<div class="col-xs-10 center col-centered" data-anno-uid="anno-uid-qa0fpphpnbc">
+<p data-anno-uid="anno-uid-rvo3dunkzs" style="">PhysioNet is a repository of freely-available medical research data, managed by the MIT Laboratory for Computational Physiology.</p>
+<p data-anno-uid="anno-uid-y4m50g62cf" style="">Supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under NIH grant number R01EB030362.</p>
+<p data-anno-uid="anno-uid-5mcv082dbgi"><marked-text data-anno-uid="anno-uid-wpeiox249wr">For more accessibility options, see the </marked-text><a data-anno-uid="anno-uid-aecwbckzf2w" href="https://accessibility.mit.edu/">MIT Accessibility Page</a><marked-tail data-anno-uid="anno-uid-hlo9txybstg">.</marked-tail></p>
+<p data-anno-uid="anno-uid-yz9jnvp98h"><a data-anno-uid="anno-uid-q9076vck3g" href="#">Back to top</a></p>
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+<!-- https://schema.org/ metadata for discovery -->
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+{
+  "@context": "https://schema.org/",
+  "@type": "Dataset",
+  "name": "Icentia11k Single Lead Continuous Raw Electrocardiogram Dataset",
+  "description": "This is a dataset of continuous raw electrocardiogram (ECG) signals containing 11 thousand patients and 2 billion labelled beats. The signals were recorded with a 16\u002Dbit resolution at 250Hz with a fixed chest mounted single lead probe for up to 2 weeks. The average age of the patient is 62.2\u0026plusmn\u003B17.4 years. 20 technologists annotated each beat\u0026#39\u003Bs type (Normal, Premature Atrial Contraction, Premature Ventricular contraction) and rhythm (Normal Sinusal Rhythm, Atrial Fibrillation, Atrial Flutter).",
+  "version": "1.0",
+  "license": "https://creativecommons.org/licenses/by\u002Dnc\u002Dsa/4.0/legalcode",
+  "datePublished" : "April 12, 2022",
+  "url": "https://physionet.org/content/icentia11k%5Cu002Dcontinuous%5Cu002Decg/1.0/",
+
+  "identifier": "https://doi.org/10.13026/kk0v\u002Dr952",
+
+  "creator": [
+
+    {
+      "@type": "Person",
+      "givenName": "Shawn",
+      "familyName": "Tan",
+      "name": "Shawn Tan"
+    },
+
+    {
+      "@type": "Person",
+      "givenName": "Satya",
+      "familyName": "Ortiz\u002DGagné",
+      "name": "Satya Ortiz\u002DGagné"
+    },
+
+    {
+      "@type": "Person",
+      "givenName": "Nicolas",
+      "familyName": "Beaudoin\u002DGagnon",
+      "name": "Nicolas Beaudoin\u002DGagnon"
+    },
+
+    {
+      "@type": "Person",
+      "givenName": "Pierre",
+      "familyName": "Fecteau",
+      "name": "Pierre Fecteau"
+    },
+
+    {
+      "@type": "Person",
+      "givenName": "Aaron",
+      "familyName": "Courville",
+      "name": "Aaron Courville"
+    },
+
+    {
+      "@type": "Person",
+      "givenName": "Yoshua",
+      "familyName": "Bengio",
+      "name": "Yoshua Bengio"
+    },
+
+    {
+      "@type": "Person",
+      "givenName": "Joseph Paul",
+      "familyName": "Cohen",
+      "name": "Joseph Paul Cohen"
+    }
+
+    ],
+  "includedInDataCatalog":{
+     "@type": "DataCatalog",
+     "name": "physionet.org"
+  },
+  "distribution": [
+    {
+      "@type": "DataDownload",
+      "contentUrl": "https://physionet.org/content/icentia11k%5Cu002Dcontinuous%5Cu002Decg/1.0/#files"
+    }
+  ]
+}
+</script>
+</body></html>
\ No newline at end of file
diff --git a/tests/llm_web_kit/extractor/html/recognizer/test_math.py b/tests/llm_web_kit/extractor/html/recognizer/test_math.py
index d25cc630..79d010aa 100644
--- a/tests/llm_web_kit/extractor/html/recognizer/test_math.py
+++ b/tests/llm_web_kit/extractor/html/recognizer/test_math.py
@@ -565,6 +565,410 @@ def test_to_content_list_node(self):
             )
         self.assertIn('No ccmath element found in content', str(exc_info.exception))
 
+    def test_fix_re_match(self):
+        """修复正则无法正确匹配$...$$...$$...$这种连续公式."""
+        html_content = r"""<p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-zdx1mj6hxf8" style="">$\newcommand{\cE}[2]{\mathbf{E}(#1\ |\ #2)}$$\newcommand{\cP}[2]{\mathbf{P}(#1\ |\ #2)}$$\renewcommand{\P}[1]{\mathbf{P}(#1)}$$\newcommand{\E}[1]{\mathbf{E}(#1)}$$\newcommand{\F}{\mathcal{F}}$$\newcommand{\G}{\mathcal{G}}$$\newcommand{\ind}[1]{\mathbf{1}_{#1}}$
+        To motivate this note, I’ll pose the following problem:</p>"""
+        parts = self.math_recognizer.recognize('https://www.baidu.com', [(html_to_element(html_content), html_to_element(html_content))], html_content)
+        assert element_to_html(parts[0][0]) == '<p cc-select="true" class="mark-selected" data-anno-uid="anno-uid-zdx1mj6hxf8" style=""><ccmath-inline type="latex" by="mathjax_mock" html="$\\newcommand{\\cE}[2]{\\mathbf{E}(#1\\ |\\ #2)}$">\\newcommand{\\cE}[2]{\\mathbf{E}(#1\\ |\\ #2)}</ccmath-inline><ccmath-inline type="latex" by="mathjax_mock" html="$\\newcommand{\\cP}[2]{\\mathbf{P}(#1\\ |\\ #2)}$">\\newcommand{\\cP}[2]{\\mathbf{P}(#1\\ |\\ #2)}</ccmath-inline><ccmath-inline type="latex" by="mathjax_mock" html="$\\renewcommand{\\P}[1]{\\mathbf{P}(#1)}$">\\renewcommand{\\P}[1]{\\mathbf{P}(#1)}</ccmath-inline><ccmath-inline type="latex" by="mathjax_mock" html="$\\newcommand{\\E}[1]{\\mathbf{E}(#1)}$">\\newcommand{\\E}[1]{\\mathbf{E}(#1)}</ccmath-inline><ccmath-inline type="latex" by="mathjax_mock" html="$\\newcommand{\\F}{\\mathcal{F}}$">\\newcommand{\\F}{\\mathcal{F}}</ccmath-inline><ccmath-inline type="latex" by="mathjax_mock" html="$\\newcommand{\\G}{\\mathcal{G}}$">\\newcommand{\\G}{\\mathcal{G}}</ccmath-inline><ccmath-inline type="latex" by="mathjax_mock" html="$\\newcommand{\\ind}[1]{\\mathbf{1}_{#1}}$">\\newcommand{\\ind}[1]{\\mathbf{1}_{#1}}</ccmath-inline>\n        To motivate this note, I’ll pose the following problem:</p>'
+
+    def test_latex_not_closed(self):
+        """移除LaTeX字符多余的left或right."""
+        html_content = """<p data-anno-uid="anno-uid-tk3exdgj4e9" style="text-align:center">
+                                <math data-anno-uid="anno-uid-3dgfeond6hi" display="inline"
+                                      xmlns="http://www.w3.org/1998/Math/MathML">
+                                    <mrow data-anno-uid="anno-uid-r718vwr5hfl">
+                                        <mrow data-anno-uid="anno-uid-i6n36co699">
+                                            <mo cc-select="true" class="mark-selected"
+                                                data-anno-uid="anno-uid-edi3h7n5ouw">
+                                                {
+                                            </mo>
+                                            <mtable columnalign="left" data-anno-uid="anno-uid-tbyb5rnon2d">
+                                                <mtr data-anno-uid="anno-uid-ka86f9f4t3q">
+                                                    <mtd data-anno-uid="anno-uid-obe0ejklk3j">
+                                                        <mo cc-select="true" class="mark-selected"
+                                                            data-anno-uid="anno-uid-i1054l0zyoa">
+                                                            ∇
+                                                        </mo>
+                                                        <mo cc-select="true" class="mark-selected"
+                                                            data-anno-uid="anno-uid-u535wds30s">
+                                                            ⋅
+                                                        </mo>
+                                                        <mrow data-anno-uid="anno-uid-dnih3oc8gv">
+                                                            <mo cc-select="true" class="mark-selected"
+                                                                data-anno-uid="anno-uid-yz4f5ot7avm">
+                                                                (
+                                                            </mo>
+                                                            <mrow data-anno-uid="anno-uid-414sg5z7way">
+                                                                <msup data-anno-uid="anno-uid-bejk1l77akq">
+                                                                    <mi cc-select="true" class="mark-selected"
+                                                                        data-anno-uid="anno-uid-mldaws3k8l">
+                                                                        R
+                                                                    </mi>
+                                                                    <mn cc-select="true" class="mark-selected"
+                                                                        data-anno-uid="anno-uid-1l4833mf4eah">
+                                                                        2
+                                                                    </mn>
+                                                                </msup>
+                                                                <mo cc-select="true" class="mark-selected"
+                                                                    data-anno-uid="anno-uid-hqeqjqkei99">
+                                                                    ∇
+                                                                </mo>
+                                                                <mi cc-select="true" class="mark-selected"
+                                                                    data-anno-uid="anno-uid-qmhzf7a35s">
+                                                                    φ
+                                                                </mi>
+                                                            </mrow>
+                                                            <mo cc-select="true" class="mark-selected"
+                                                                data-anno-uid="anno-uid-2rhy03sx9p9">
+                                                                )
+                                                            </mo>
+                                                        </mrow>
+                                                        <mo cc-select="true" class="mark-selected"
+                                                            data-anno-uid="anno-uid-weo7tcl6aqt">
+                                                            =
+                                                        </mo>
+                                                        <mn cc-select="true" class="mark-selected"
+                                                            data-anno-uid="anno-uid-xw3qv4ev2f8">
+                                                            0
+                                                        </mn>
+                                                        <mtext data-anno-uid="anno-uid-v7o3uw0obkr">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-ojbhh2ys9cq">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-07973fhhe6wj">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-6t57gjhd01r">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-0ew4lxndxbb">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-om35cbnfkqm">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-q44q15urinc">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-j1sskerp8h">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-boehee3sgt">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-cze1pcadug6">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-37ugr7lw2yr">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-a7ridfd8nc7">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-448fxii6p3z">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-lhi97tzuyca">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-sdmmsx0yc7j">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-95ubjvvqheg">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-rtddlda2bb">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-xyf4c5yivzf">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-gy3cultrh1d">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-av8iu2wl2b8">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-odcbr72xjm">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-nvwqt8apavb">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-u48jtpq9ye">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-iobwczqavid">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-02z1t73vp22j">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-c6sod6mtzc">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-kw8y4v6kp6e">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-vxalkymtny">
+                                                             
+                                                        </mtext>
+                                                        <mo cc-select="true" class="mark-selected"
+                                                            data-anno-uid="anno-uid-bahp7m6f79m" stretchy="false">
+                                                            (
+                                                        </mo>
+                                                        <mn cc-select="true" class="mark-selected"
+                                                            data-anno-uid="anno-uid-s0fncjsxu7p">
+                                                            6
+                                                        </mn>
+                                                        <mo cc-select="true" class="mark-selected"
+                                                            data-anno-uid="anno-uid-4djwt12xcag" stretchy="false">
+                                                            )
+                                                        </mo>
+                                                    </mtd>
+                                                </mtr>
+                                                <mtr data-anno-uid="anno-uid-nkbsivhcy">
+                                                    <mtd data-anno-uid="anno-uid-qqr83cy0vi">
+                                                        <mi cc-select="true" class="mark-selected"
+                                                            data-anno-uid="anno-uid-17jqo3d255b">
+                                                            D
+                                                        </mi>
+                                                        <mrow data-anno-uid="anno-uid-g326s79dkt8">
+                                                            <mo cc-select="true" class="mark-selected"
+                                                                data-anno-uid="anno-uid-3i6h482kv33">
+                                                                (
+                                                            </mo>
+                                                            <mrow data-anno-uid="anno-uid-ugeszt1dfd">
+                                                                <mstyle data-anno-uid="anno-uid-wqr5umipst"
+                                                                        mathsize="normal" mathvariant="bold">
+                                                                    <mi cc-select="true" class="mark-selected"
+                                                                        data-anno-uid="anno-uid-02jmrb9mih2n">
+                                                                        r
+                                                                    </mi>
+                                                                </mstyle>
+                                                                <mo cc-select="true" class="mark-selected"
+                                                                    data-anno-uid="anno-uid-pydhny3h5k">
+                                                                    ,
+                                                                </mo>
+                                                                <mstyle data-anno-uid="anno-uid-0psyv7sd5pz"
+                                                                        mathsize="normal" mathvariant="bold">
+                                                                    <mi cc-select="true" class="mark-selected"
+                                                                        data-anno-uid="anno-uid-bobmdtwlg1a">
+                                                                        k
+                                                                    </mi>
+                                                                </mstyle>
+                                                                <mo cc-select="true" class="mark-selected"
+                                                                    data-anno-uid="anno-uid-raixwh1o7x">
+                                                                    ,
+                                                                </mo>
+                                                                <mi cc-select="true" class="mark-selected"
+                                                                    data-anno-uid="anno-uid-klyyrh899c">
+                                                                    ω
+                                                                </mi>
+                                                            </mrow>
+                                                            <mo cc-select="true" class="mark-selected"
+                                                                data-anno-uid="anno-uid-pgtfx1ossym">
+                                                                )
+                                                            </mo>
+                                                        </mrow>
+                                                        <mo cc-select="true" class="mark-selected"
+                                                            data-anno-uid="anno-uid-rqv3g0eiyag">
+                                                            ≡
+                                                        </mo>
+                                                        <mfrac data-anno-uid="anno-uid-ccxkeg5mapo">
+                                                            <mi cc-select="true" class="mark-selected"
+                                                                data-anno-uid="anno-uid-uw3u96er84c">
+                                                                c
+                                                            </mi>
+                                                            <mrow data-anno-uid="anno-uid-1xo552f1djd">
+                                                                <mn cc-select="true" class="mark-selected"
+                                                                    data-anno-uid="anno-uid-f1nnwiktgv">
+                                                                    2
+                                                                </mn>
+                                                                <msub data-anno-uid="anno-uid-1jbl84vkz1t">
+                                                                    <mi cc-select="true" class="mark-selected"
+                                                                        data-anno-uid="anno-uid-f55fvvhnwtf">
+                                                                        k
+                                                                    </mi>
+                                                                    <mn cc-select="true" class="mark-selected"
+                                                                        data-anno-uid="anno-uid-hgpkfctsd6">
+                                                                        0
+                                                                    </mn>
+                                                                </msub>
+                                                            </mrow>
+                                                        </mfrac>
+                                                        <mrow data-anno-uid="anno-uid-r76y2ye4p4f">
+                                                            <mo cc-select="true" class="mark-selected"
+                                                                data-anno-uid="anno-uid-fvpin6ad1j6">
+                                                                [
+                                                            </mo>
+                                                            <mrow data-anno-uid="anno-uid-dy8li1qbs1n">
+                                                                <msup data-anno-uid="anno-uid-wtozpmk4sr">
+                                                                    <mi cc-select="true" class="mark-selected"
+                                                                        data-anno-uid="anno-uid-k4ldd2ytjs">
+                                                                        k
+                                                                    </mi>
+                                                                    <mn cc-select="true" class="mark-selected"
+                                                                        data-anno-uid="anno-uid-e81wonvlwgk">
+                                                                        2
+                                                                    </mn>
+                                                                </msup>
+                                                                <mo cc-select="true" class="mark-selected"
+                                                                    data-anno-uid="anno-uid-gnj1vcx6fc">
+                                                                    −
+                                                                </mo>
+                                                                <msup data-anno-uid="anno-uid-4lpigmc49gp">
+                                                                    <mrow data-anno-uid="anno-uid-4cq7jt1rqgr">
+                                                                        <mrow data-anno-uid="anno-uid-l6l9mrs545">
+                                                                            <mo cc-select="true" class="mark-selected"
+                                                                                data-anno-uid="anno-uid-bj7lanqozaj">
+                                                                                (
+                                                                            </mo>
+                                                                            <mrow data-anno-uid="anno-uid-rphigeggdzn">
+                                                                                <mi cc-select="true"
+                                                                                    class="mark-selected"
+                                                                                    data-anno-uid="anno-uid-4itkqs79hh9">
+                                                                                    n
+                                                                                </mi>
+                                                                                <msub data-anno-uid="anno-uid-zs0rcwfo5ul">
+                                                                                    <mi cc-select="true"
+                                                                                        class="mark-selected"
+                                                                                        data-anno-uid="anno-uid-gnfqy2771y">
+                                                                                        k
+                                                                                    </mi>
+                                                                                    <mn cc-select="true"
+                                                                                        class="mark-selected"
+                                                                                        data-anno-uid="anno-uid-sa9j9zqu8h8">
+                                                                                        0
+                                                                                    </mn>
+                                                                                </msub>
+                                                                            </mrow>
+                                                                            <mo cc-select="true" class="mark-selected"
+                                                                                data-anno-uid="anno-uid-2aicccuzhq3">
+                                                                                )
+                                                                            </mo>
+                                                                        </mrow>
+                                                                    </mrow>
+                                                                    <mn cc-select="true" class="mark-selected"
+                                                                        data-anno-uid="anno-uid-q8zt04e55p">
+                                                                        2
+                                                                    </mn>
+                                                                </msup>
+                                                            </mrow>
+                                                            <mo cc-select="true" class="mark-selected"
+                                                                data-anno-uid="anno-uid-dbstxgcmkf5">
+                                                                ]
+                                                            </mo>
+                                                        </mrow>
+                                                        <mo cc-select="true" class="mark-selected"
+                                                            data-anno-uid="anno-uid-q3j70kfiy5">
+                                                            +
+                                                        </mo>
+                                                        <mi cc-select="true" class="mark-selected"
+                                                            data-anno-uid="anno-uid-zgunty1rla">
+                                                            W
+                                                        </mi>
+                                                        <mrow data-anno-uid="anno-uid-vmpb04lrso">
+                                                            <mo cc-select="true" class="mark-selected"
+                                                                data-anno-uid="anno-uid-bl2iwkkxtc">
+                                                                (
+                                                            </mo>
+                                                            <mrow data-anno-uid="anno-uid-w4kza02pnto">
+                                                                <mstyle data-anno-uid="anno-uid-vevepl66s6"
+                                                                        mathsize="normal" mathvariant="bold">
+                                                                    <mi cc-select="true" class="mark-selected"
+                                                                        data-anno-uid="anno-uid-xu06cncbwyf">
+                                                                        r
+                                                                    </mi>
+                                                                </mstyle>
+                                                                <mo cc-select="true" class="mark-selected"
+                                                                    data-anno-uid="anno-uid-t5en4fnmlx">
+                                                                    ,
+                                                                </mo>
+                                                                <mi cc-select="true" class="mark-selected"
+                                                                    data-anno-uid="anno-uid-muudhw3dh3">
+                                                                    ω
+                                                                </mi>
+                                                            </mrow>
+                                                            <mo cc-select="true" class="mark-selected"
+                                                                data-anno-uid="anno-uid-divd31bm0w7">
+                                                                )
+                                                            </mo>
+                                                        </mrow>
+                                                        <mo cc-select="true" class="mark-selected"
+                                                            data-anno-uid="anno-uid-53rje7qyf5c">
+                                                            =
+                                                        </mo>
+                                                        <mn cc-select="true" class="mark-selected"
+                                                            data-anno-uid="anno-uid-4inqn4d5uty">
+                                                            0
+                                                        </mn>
+                                                        <mtext data-anno-uid="anno-uid-4w3s8xhef6a">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-qjxb1uwam9">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-3q3gbckl745">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-grh3a2suo3">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-v46yyfhdz2">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-bdv940o47ui">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-nbot88zw7l">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-dmspxhg4we">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-dim7tx6v20b">
+                                                             
+                                                        </mtext>
+                                                        <mtext data-anno-uid="anno-uid-ykbg1o47wd8">
+                                                             
+                                                        </mtext>
+                                                        <mo cc-select="true" class="mark-selected"
+                                                            data-anno-uid="anno-uid-acai5thyxwg" stretchy="false"
+                                                            style="">
+                                                            (7)
+                                                        </mo>
+                                                    </mtd>
+                                                </mtr>
+                                            </mtable>
+                                        </mrow>
+                                    </mrow>
+                                </math>
+                            </p>"""
+        parts = self.math_recognizer.recognize('https://www.baidu.com',
+                                               [(html_to_element(html_content), html_to_element(html_content))],
+                                               html_content)
+        assert '\\{\\begin{array}{l}\\nabla \\cdot \\left({R}^{2}\\nabla \\phi \\right)=0\\text{ }\\text{ }\\text{ }\\text{ }\\text{ }\\text{ }\\text{ }\\text{ }\\text{ }\\text{ }\\text{ }\\text{ }\\text{ }\\text{ }\\text{ }\\text{ }\\text{\\hspace{0.17em}}\\text{\\hspace{0.17em}}\\text{\\hspace{0.17em}}\\text{\\hspace{0.17em}}\\text{\\hspace{0.17em}}\\text{\\hspace{0.17em}}\\text{\\hspace{0.17em}}\\text{ }\\text{ }\\text{\\hspace{0.17em}}\\text{\\hspace{0.17em}}\\text{\\hspace{0.17em}}\\left(6\\right)\\\\ D\\left(r,k,\\omega \\right)\\equiv \\frac{c}{2{k}_{0}}\\left[{k}^{2}-{\\left(n{k}_{0}\\right)}^{2}\\right]+W\\left(r,\\omega \\right)=0\\text{ }\\text{ }\\text{ }\\text{ }\\text{ }\\text{\\hspace{0.17em}}\\text{\\hspace{0.17em}}\\text{ }\\text{\\hspace{0.17em}}\\text{\\hspace{0.17em}}\\left(7\\right)\\end{array}' in element_to_html(parts[0][0])
+
+    def test_dollar_sign(self):
+        """美元符合与公式共存的情况."""
+        html_content = """<p>referring $18.1 to $18.1 the packet center $ p$ and apparently coinciding with the particle velocity</p>"""
+        parts = self.math_recognizer.recognize('https://www.baidu.com',
+                                               [(html_to_element(html_content), html_to_element(html_content))],
+                                               html_content)
+        assert element_to_html(parts[0][0]) == '<p>referring \\$18.1 to \\$18.1 the packet center <ccmath-inline type="latex" by="mathjax_mock" html="$ p$">p</ccmath-inline> and apparently coinciding with the particle velocity</p>'
+
+    def test_begin_end(self):
+        """$begin end$的嵌套组合识别时候$$没有处理."""
+        html_content = r"""<p data-anno-uid="anno-uid-q8doimblafo"><span cc-select="true" class="mpa-ignore mark-selected" data-anno-uid="anno-uid-ldpcij9lbom" style="">$\begin{array}{1 1}(a)\;xy=c\\(b)\;xy=c^2\\(c)\;x^2+y^2=a^2\\(d)\;x^2+y^2=1\end{array}$</span></p>"""
+        parts = self.math_recognizer.recognize('https://www.baidu.com',
+                                               [(html_to_element(html_content), html_to_element(html_content))],
+                                               html_content)
+        assert element_to_html(parts[0][0]) == '<p data-anno-uid="anno-uid-q8doimblafo"><span cc-select="true" class="mpa-ignore mark-selected" data-anno-uid="anno-uid-ldpcij9lbom" style=""><ccmath-inline type="latex" by="mathjax_mock" html="$\\begin{array}{1 1}(a)\\;xy=c\\\\(b)\\;xy=c^2\\\\(c)\\;x^2+y^2=a^2\\\\(d)\\;x^2+y^2=1\\end{array}$">\\begin{array}{1 1}(a)\\;xy=c\\\\(b)\\;xy=c^2\\\\(c)\\;x^2+y^2=a^2\\\\(d)\\;x^2+y^2=1\\end{array}</ccmath-inline></span></p>'
+
 
 class TestCCMATH(unittest.TestCase):
     def setUp(self):
diff --git a/tests/llm_web_kit/extractor/html/recognizer/test_table.py b/tests/llm_web_kit/extractor/html/recognizer/test_table.py
index c80d3568..eb58bb98 100644
--- a/tests/llm_web_kit/extractor/html/recognizer/test_table.py
+++ b/tests/llm_web_kit/extractor/html/recognizer/test_table.py
@@ -234,3 +234,11 @@ def test_nested_table4(self):
         assert len(parts) == 4
         content = parts[2][0].text_content()
         assert '<table><tr><td>Molecular line emissions from pre main sequence objects\n\nSaraceno, P. ; Benedettini, M. ; Caux, E. ; Ceccarelli, M. C. ; Clegg, P. E. ; Correia, J. C. ; di Giorgio, A. M. ; Giannini, T. ; Griffin, M. J. ; Leeks, S. J. ; Liseau, R. ; Lorenzetti, D. ; Molinari, S. ; Nisini, B. ; Smith, H. ; Spinoglio, L. ; Tomassi, E. and White, G. J. (1997). Molecular line emissions from pre main sequence objects. In: The first ISO workshop on Analytical Spectroscopy , 6-8 October 1997, Madrid, Spain, p. 291.\n\nFull text available as:<table><tr><td><table><tr><td>Preview</td></tr></table></td><td>PDF (Version of Record) - Requires a PDF viewer such asGSview ,Xpdf orAdobe Acrobat Reader\n\nDownload (239Kb)</td></tr></table><table><tr><th>URL:</th><td>http://cdsads.u-strasbg.fr/abs/1997ESASP.419..291S</td></tr><tr><th>Google Scholar:</th><td>Look up in Google Scholar</td></tr></table>Abstract\n\nWe present some preliminary results obtained with the LWS G.T. programme on the study of young objects driving molecular outflows. In particular, we discuss the importance of molecular emission in these sources and address the role of the H<sub>2</sub>0 cooling.<table><tr><th>Item Type:</th><td>Conference Item</td></tr><tr><th>Copyright Holders:</th><td>1997 European Space Agency</td></tr><tr><th>Extra Information:</th><td>Proceedings of the first ISO workshop on Analytical Spectroscopy, Madrid, Spain, 6-8 October 1997. Editors: A.M. Heras, K. Leech, N. R. Trams, and Michael Perry. Noordwijk, The Netherlands : ESA Publications Division, c1997. (ESA SP-419), 1997., pp.291-292</td></tr><tr><th>Academic Unit/Department:</th><td>Science > Physical Sciences</td></tr><tr><th>Interdisciplinary Research Centre:</th><td>Centre for Earth, Planetary, Space and Astronomical Research (CEPSAR)</td></tr><tr><th>Item ID:</th><td>32696</td></tr><tr><th>Depositing User:</th><td>Glenn White</td></tr>' in content
+
+    def test_table_has_formula(self):
+        """表格含有公式."""
+        raw_html_path = base_dir.joinpath('assets/recognizer/table_has_formula.html')
+        base_url = 'https://en.m.wikipedia.org/wiki/Variance'
+        raw_html = raw_html_path.read_text(encoding='utf-8')
+        parts = self.rec.recognize(base_url, [(html_to_element(raw_html), html_to_element(raw_html))], raw_html)
+        assert parts[5][0].text_content() == '<table><thead><tr><th>Statistic</th><th># (units)</th></tr></thead><tbody><tr><td>Number of patients</td><td>11,000</td></tr><tr><td>Number of labeled beats</td><td>2,774,054,987</td></tr><tr><td>Sample rate</td><td>250Hz</td></tr><tr><td>Segment size</td><td>$2^{20}+1$= 1,048,577</td></tr><tr><td>Total number of segments</td><td>541,794 (not all patients have enough for 50 segments)</td></tr></tbody></table>'
diff --git a/tests/llm_web_kit/extractor/html/recognizer/test_text.py b/tests/llm_web_kit/extractor/html/recognizer/test_text.py
index 674b9dc3..0c0f8db2 100644
--- a/tests/llm_web_kit/extractor/html/recognizer/test_text.py
+++ b/tests/llm_web_kit/extractor/html/recognizer/test_text.py
@@ -479,6 +479,54 @@ def test_para_br(self):
         content_md = result.get_content_list().to_mm_md()
         assert 'The interquartile range formula is the first quartile subtracted from the third quartile:\n\n $IQR = Q_{3}-Q_{1}' in content_md
 
+    def test_para_has_none(self):
+        """
+        兼容段落可能为None的情况
+        Returns:
+
+        """
+        chain = ExtractSimpleFactory.create(load_pipe_tpl('noclip_html_test'))
+        self.assertIsNotNone(chain)
+        test_data = {
+            'track_id': 'text_md',
+            'dataset_name': 'text_md',
+            'url': 'https://br.wikipedia.org/wiki/Faustina_an_Hena%C3%B1',
+            'data_source_category': 'HTML',
+            'path': 'para_has_none.html',
+            'main_path': 'para_has_none.html',
+            'file_bytes': 1000,
+            'meta_info': {'input_datetime': '2020-01-01 00:00:00'},
+            'language': 'en'
+        }
+        input_data = DataJson(test_data)
+        result = chain.extract(input_data)
+        content_md = result.get_content_list().to_mm_md()
+        assert content_md
+
+    def test_clean_invisible_elements(self):
+        """
+        清理隐藏标签
+        Returns:
+
+        """
+        chain = ExtractSimpleFactory.create(load_pipe_tpl('noclip_html_test'))
+        self.assertIsNotNone(chain)
+        test_data = {
+            'track_id': 'text_md',
+            'dataset_name': 'text_md',
+            'url': 'https://br.wikipedia.org/wiki/Faustina_an_Hena%C3%B1',
+            'data_source_category': 'HTML',
+            'path': 'clean_invisible_elements.html',
+            'main_path': 'clean_invisible_elements.html',
+            'file_bytes': 1000,
+            'meta_info': {'input_datetime': '2020-01-01 00:00:00'},
+            'language': 'en'
+        }
+        input_data = DataJson(test_data)
+        result = chain.extract(input_data)
+        content_md = result.get_content_list().to_mm_md()
+        assert "Choosing a selection results in a full page refresh." not in content_md
+
     def test_empty_string_fix(self):
         """
         测试修复字符串索引越界问题 - 当文本处理中出现空字符串时不应抛出IndexError
diff --git a/tests/llm_web_kit/extractor/html/recognizer/test_title.py b/tests/llm_web_kit/extractor/html/recognizer/test_title.py
index 2edfbeab..b07ee1fe 100644
--- a/tests/llm_web_kit/extractor/html/recognizer/test_title.py
+++ b/tests/llm_web_kit/extractor/html/recognizer/test_title.py
@@ -46,3 +46,21 @@ def test_title1(title_recognizer):
         html_content = file.read()
     result = title_recognizer.recognize('http://www.baidu.com', [(main_html_content, main_html_content)], html_content)
     assert 'Compare vibrational frequencies for two calculations for C&lt;sub&gt;3&lt;/sub&gt; (carbon trimer)' in element_to_html(result[1][0])
+
+
+def test_title_has_formula(title_recognizer):
+    """
+    标题含有公式
+    Args:
+        title_recognizer:
+
+    Returns:
+
+    """
+    html_content = r"""<h4 class="record-header" data-anno-uid="anno-uid-ak93kqpj44f">
+    <a cc-select="true" class="mark-selected" data-anno-uid="anno-uid-37umi9vq7o2" href="https://www.hepdata.net/record/ins228250" style="">
+                                                Vector Meson Production in the Final State $K^+ K^- \pi^+ \pi^-$ Photon-photon Collisions
+                                            </a>
+    </h4>"""
+    result = title_recognizer.recognize('http://www.baidu.com', [(html_content, html_content)], html_content)
+    assert r"Vector Meson Production in the Final State $K^+ K^- \pi^+ \pi^-$ Photon-photon Collisions" in element_to_html(result[0][0])
diff --git a/tests/llm_web_kit/extractor/test_extractor_chain.py b/tests/llm_web_kit/extractor/test_extractor_chain.py
index 533470ef..0ceedc0b 100644
--- a/tests/llm_web_kit/extractor/test_extractor_chain.py
+++ b/tests/llm_web_kit/extractor/test_extractor_chain.py
@@ -512,7 +512,7 @@ def test_table_only_include_tr(self):
         input_data = DataJson(test_data)
         result = chain.extract(input_data)
         result_md = result.get_content_list().to_nlp_md()
-        assert 'List Price: $11.80' in result_md
+        assert r'List Price: \$11.80' in result_md
 
     def test_table_only_one_td(self):
         """测试table只有一个td."""
diff --git a/tests/llm_web_kit/main_html_parser/parser/assets/test_html_data/simplify_cases/unusual_encoding.html b/tests/llm_web_kit/main_html_parser/parser/assets/test_html_data/simplify_cases/unusual_encoding.html
new file mode 100644
index 00000000..969074b3
Binary files /dev/null and b/tests/llm_web_kit/main_html_parser/parser/assets/test_html_data/simplify_cases/unusual_encoding.html differ
diff --git a/tests/llm_web_kit/main_html_parser/parser/test_layout_parser.py b/tests/llm_web_kit/main_html_parser/parser/test_layout_parser.py
index 3eaf8471..606bb7e4 100644
--- a/tests/llm_web_kit/main_html_parser/parser/test_layout_parser.py
+++ b/tests/llm_web_kit/main_html_parser/parser/test_layout_parser.py
@@ -419,7 +419,7 @@ def test_all_ids(self):
         parser = LayoutBatchParser({})
         parts = parser.parse(pre_data)
         main_html_body = parts[PreDataJsonKey.MAIN_HTML_BODY]
-        assert '全部按定尺或倍尺供應,提高材料的利用率' in main_html_body and '在線留言' not in main_html_body and '批發兼零售' not in main_html_body
+        assert '全部按定尺或倍尺供應,提高材料的利用率' in main_html_body and '批發兼零售' not in main_html_body and '在線留言' not in main_html_body
 
     def test_multi_same_first_class_id(self):
         # 构造测试html
@@ -445,5 +445,4 @@ def test_multi_same_first_class_id(self):
         parser = LayoutBatchParser({})
         parts = parser.parse(pre_data)
         main_html_body = parts[PreDataJsonKey.MAIN_HTML_BODY]
-        print(main_html_body)
         assert 'Spredfast wanted to follow' in main_html_body and 'Photography' not in main_html_body
diff --git a/tests/llm_web_kit/main_html_parser/parser/test_tag_simplifier.py b/tests/llm_web_kit/main_html_parser/parser/test_tag_simplifier.py
index 45962b1e..e28cc0ce 100644
--- a/tests/llm_web_kit/main_html_parser/parser/test_tag_simplifier.py
+++ b/tests/llm_web_kit/main_html_parser/parser/test_tag_simplifier.py
@@ -472,6 +472,24 @@ def test_tag_simplifier_block_select(self):
         self.assertIsNotNone(p_element.get("_item_id"))
         self.assertIsNotNone(p_element.get("cc-select"))
 
+    def test_tag_simplifier_unusual_encoding(self):
+        file_path = base_dir / 'assets/test_html_data/simplify_cases/unusual_encoding.html'
+        with open(file_path, 'r') as file:
+            raw_html = file.read()
+
+        data_dict = {PreDataJsonKey.TYPICAL_RAW_HTML: raw_html}
+        pre_data = PreDataJson(data_dict)
+
+        pre_data_result = HtmlTagSimplifierParser({}).parse(pre_data)
+
+        simplifier_raw_html = pre_data_result.get(PreDataJsonKey.TYPICAL_SIMPLIFIED_HTML, '')
+        simple_id_count = self.check_and_find_max_item_id(simplifier_raw_html)
+        self.assertEqual(simple_id_count, 102)
+
+        raw_tag_html = pre_data_result.get(PreDataJsonKey.TYPICAL_RAW_TAG_HTML, '')
+        tag_id_count = self.check_and_find_max_item_id(raw_tag_html)
+        self.assertEqual(tag_id_count, simple_id_count)
+
 
 if __name__ == '__main__':
     unittest.main()
diff --git a/tests/llm_web_kit/simple/test_simple.py b/tests/llm_web_kit/simple/test_simple.py
index d923b36e..6e0abf96 100644
--- a/tests/llm_web_kit/simple/test_simple.py
+++ b/tests/llm_web_kit/simple/test_simple.py
@@ -135,6 +135,7 @@ def setUp(self):
         self.main_html = '<div><body><h1>Test Content</h1><p>This is a test paragraph.</p><img src="https://example.com/image.jpg" alt="Test Image"></body></div>'
         self.expected_md = '# Test Content\n\nThis is a test paragraph.\n'
         self.expected_mm_md = '# Test Content\n\nThis is a test paragraph.\n\n![Test Image](e5db82b5bf63d49d80c5533616892d3386f43955369520986d67653c700fc53c)\n'
+        self.expected_mm_md_raw_url = '# Test Content\n\nThis is a test paragraph.\n\n![Test Image](https://example.com/image.jpg)\n'
         self.base_path = os.path.dirname(os.path.abspath(__file__))
 
     # ========================================
@@ -264,6 +265,59 @@ def test_extractor_factory_different_pipe_tpls(self):
 
         self.assertIsNot(extractor1, extractor2, '不同pipe_tpl应该返回不同的实例')
 
+    # ========================================
+    # use_raw_image_url参数测试
+    # ========================================
+
+    def test_extract_content_from_main_html_with_raw_image_url(self):
+        """测试extract_content_from_main_html使用原始图片URL."""
+        result = extract_content_from_main_html(self.url, self.main_html, 'mm_md', 'en', use_raw_image_url=True)
+        self.assertEqual(result, self.expected_mm_md_raw_url)
+
+    def test_extract_content_from_html_with_magic_html_with_raw_image_url(self):
+        """测试extract_content_from_html_with_magic_html使用原始图片URL."""
+        result = extract_content_from_html_with_magic_html(self.url, self.html_content, 'mm_md', 'en', use_raw_image_url=True)
+        self.assertEqual(result, self.expected_mm_md_raw_url)
+
+    def test_extract_content_from_html_with_llm_with_raw_image_url(self):
+        """测试extract_content_from_html_with_llm使用原始图片URL."""
+        result = extract_content_from_html_with_llm(self.url, self.html_content, 'mm_md', 'en', use_raw_image_url=True)
+        # 由于LLM可能有不同的处理结果，我们只验证包含原始URL
+        self.assertIn('https://example.com/image.jpg', result)
+
+    def test_extract_content_from_html_with_layout_batch_with_raw_image_url(self):
+        """测试extract_content_from_html_with_layout_batch使用原始图片URL."""
+        result = extract_content_from_html_with_layout_batch(self.url, self.html_content, 'mm_md', 'en', use_raw_image_url=True)
+        # 由于layout_batch可能有不同的处理结果，我们只验证包含原始URL
+        self.assertIn('https://example.com/image.jpg', result)
+
+    def test_extract_content_from_main_html_without_raw_image_url(self):
+        """测试extract_content_from_main_html不使用原始图片URL（默认行为）."""
+        result = extract_content_from_main_html(self.url, self.main_html, 'mm_md', 'en', use_raw_image_url=False)
+        self.assertEqual(result, self.expected_mm_md)
+        # 确保不包含原始URL
+        self.assertNotIn('https://example.com/image.jpg', result)
+
+    def test_extract_content_from_html_with_magic_html_without_raw_image_url(self):
+        """测试extract_content_from_html_with_magic_html不使用原始图片URL（默认行为）."""
+        result = extract_content_from_html_with_magic_html(self.url, self.html_content, 'mm_md', 'en', use_raw_image_url=False)
+        self.assertEqual(result, self.expected_mm_md)
+        # 确保不包含原始URL
+        self.assertNotIn('https://example.com/image.jpg', result)
+
+    def test_use_raw_image_url_only_affects_mm_md_format(self):
+        """测试use_raw_image_url参数只对mm_md格式有效，对其他格式无影响."""
+        # 测试md格式不受影响
+        result_md_false = extract_content_from_main_html(self.url, self.main_html, 'md', 'en', use_raw_image_url=False)
+        result_md_true = extract_content_from_main_html(self.url, self.main_html, 'md', 'en', use_raw_image_url=True)
+        self.assertEqual(result_md_false, result_md_true)
+        self.assertEqual(result_md_false, self.expected_md)
+
+        # 测试plain_md格式不受影响
+        result_plain_md_false = extract_content_from_main_html(self.url, self.main_html, 'plain_md', 'en', use_raw_image_url=False)
+        result_plain_md_true = extract_content_from_main_html(self.url, self.main_html, 'plain_md', 'en', use_raw_image_url=True)
+        self.assertEqual(result_plain_md_false, result_plain_md_true)
+
 
 class TestExtractorFactoryThreadSafety(unittest.TestCase):
     """ExtractorFactory线程安全性专项测试."""
