0.2.9.0

31 files changed, 4963 insertions, 138 deletions

diff --git a/.github/FUNDING.yml b/.github/FUNDING.yml
index e0b12bae..98f1e5b0 100644
--- a/.github/FUNDING.yml
+++ b/.github/FUNDING.yml
@@ -1,3 +1,3 @@
 ko_fi: xtekky
-github: [xtekky]
+github: [xtekky, hlohaus]
 patreon: xtekky
diff --git a/README.md b/README.md
index 965847ee..83d5a45e 100644
--- a/README.md
+++ b/README.md
@@ -188,7 +188,8 @@ image_url = response.data[0].url
 
 **Full Documentation for Python API**
 
-- New Client API like the OpenAI Python library: [/docs/client](/docs/client.md)
+- New AsyncClient API from G4F: [/docs/async_client](/docs/async_client.md)
+- Client API like the OpenAI Python library: [/docs/client](/docs/async_client.md)
 - Legacy API with python modules: [/docs/legacy](/docs/legacy.md)
 
 #### Web UI
diff --git a/docs/async_client.md b/docs/async_client.md
new file mode 100644
index 00000000..4827d11b
--- /dev/null
+++ b/docs/async_client.md
@@ -0,0 +1,95 @@
+# How to Use the G4F AsyncClient API
+
+The AsyncClient API is the asynchronous counterpart to the standard G4F Client API. It offers the same functionality as the synchronous API, but with the added benefit of improved performance due to its asynchronous nature.
+
+Designed to maintain compatibility with the existing OpenAI API, the G4F AsyncClient API ensures a seamless transition for users already familiar with the OpenAI client.
+
+## Key Features
+
+The G4F AsyncClient API offers several key features:
+
+- **Custom Providers:** The G4F Client API allows you to use custom providers. This feature enhances the flexibility of the API, enabling it to cater to a wide range of use cases.
+
+- **ChatCompletion Interface:** The G4F package provides an interface for interacting with chat models through the ChatCompletion class. This class provides methods for creating both streaming and non-streaming responses.
+
+- **Streaming Responses:** The ChatCompletion.create method can return a response iteratively as and when they are received if the stream parameter is set to True.
+
+- **Non-Streaming Responses:** The ChatCompletion.create method can also generate non-streaming responses.
+
+- **Image Generation and Vision Models:** The G4F Client API also supports image generation and vision models, expanding its utility beyond text-based interactions. 
+
+
+## Using AsyncClient
+
+### Text Completions:
+
+You can use the ChatCompletions endpoint to generate text completions as follows:
+
+```python
+response = await client.chat.completions.create(
+    model="gpt-3.5-turbo",
+    messages=[{"role": "user", "content": "Say this is a test"}],
+    ...
+)
+print(response.choices[0].message.content)
+```
+
+Streaming completions are also supported:
+
+```python
+stream = client.chat.completions.create(
+    model="gpt-4",
+    messages=[{"role": "user", "content": "Say this is a test"}],
+    stream=True,
+    ...
+)
+async for chunk in stream:
+    if chunk.choices[0].delta.content:
+        print(chunk.choices[0].delta.content or "", end="")
+```
+
+### Image Generation:
+
+You can generate images using a specified prompt:
+
+```python
+response = await client.images.generate(
+    model="dall-e-3",
+    prompt="a white siamese cat",
+    ...
+)
+
+image_url = response.data[0].url
+```
+
+### Example usage with asyncio.gather
+
+Start two tasks at the same time:
+
+```python
+import asyncio
+
+from g4f.client import AsyncClient
+from g4f.Provider import BingCreateImages, OpenaiChat, Gemini
+
+async def main():
+    client = AsyncClient(
+        provider=OpenaiChat,
+        image_provider=Gemini,
+        # other parameters...
+    )
+
+    task1 = client.chat.completions.create(
+        model="gpt-3.5-turbo",
+        messages=[{"role": "user", "content": "Say this is a test"}],
+    )
+    task2 = client.images.generate(
+        model="dall-e-3",
+        prompt="a white siamese cat",
+    )
+    responses = await asyncio.gather(task1, task2)
+
+    print(responses)
+
+asyncio.run(main())
+```
\ No newline at end of file
diff --git a/g4f/Provider/Bing.py b/g4f/Provider/Bing.py
index aa1b37b0..1e462084 100644
--- a/g4f/Provider/Bing.py
+++ b/g4f/Provider/Bing.py
@@ -46,6 +46,7 @@ class Bing(AsyncGeneratorProvider, ProviderModelMixin):
         messages: Messages,
         proxy: str = None,
         timeout: int = 900,
+        api_key: str = None,
         cookies: Cookies = None,
         connector: BaseConnector = None,
         tone: str = None,
@@ -68,6 +69,8 @@ class Bing(AsyncGeneratorProvider, ProviderModelMixin):
         :return: An asynchronous result object.
         """
         prompt = messages[-1]["content"]
+        if api_key is not None:
+            cookies["_U"] = api_key
         if context is None:
             context = create_context(messages[:-1]) if len(messages) > 1 else None
         if tone is None:
diff --git a/g4f/Provider/DuckDuckGo.py b/g4f/Provider/DuckDuckGo.py
new file mode 100644
index 00000000..5269ced3
--- /dev/null
+++ b/g4f/Provider/DuckDuckGo.py
@@ -0,0 +1,64 @@
+from __future__ import annotations
+
+import json
+import aiohttp
+
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..typing import AsyncResult, Messages
+from ..requests.raise_for_status import raise_for_status
+
+class DuckDuckGo(AsyncGeneratorProvider, ProviderModelMixin):
+    url = "https://duckduckgo.com/duckchat"
+    working = True
+    supports_gpt_35_turbo = True
+    supports_message_history = True
+
+    default_model = "gpt-3.5-turbo-0125"
+    models = ["gpt-3.5-turbo-0125", "claude-instant-1.2"]
+    model_aliases = {"gpt-3.5-turbo": "gpt-3.5-turbo-0125"}
+
+    status_url = "https://duckduckgo.com/duckchat/v1/status"
+    chat_url = "https://duckduckgo.com/duckchat/v1/chat"
+    user_agent = 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:123.0) Gecko/20100101 Firefox/123.0'
+    headers = {
+        'User-Agent': user_agent,
+        'Accept': 'text/event-stream',
+        'Accept-Language': 'de,en-US;q=0.7,en;q=0.3',
+        'Accept-Encoding': 'gzip, deflate, br',
+        'Referer': 'https://duckduckgo.com/',
+        'Content-Type': 'application/json',
+        'Origin': 'https://duckduckgo.com',
+        'Connection': 'keep-alive',
+        'Cookie': 'dcm=1',
+        'Sec-Fetch-Dest': 'empty',
+        'Sec-Fetch-Mode': 'cors',
+        'Sec-Fetch-Site': 'same-origin',
+        'Pragma': 'no-cache',
+        'TE': 'trailers'
+    }
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        **kwargs
+    ) -> AsyncResult:
+        async with aiohttp.ClientSession(headers=cls.headers) as session:
+            async with session.get(cls.status_url, headers={"x-vqd-accept": "1"}) as response:
+                await raise_for_status(response)
+                vqd_4 = response.headers.get("x-vqd-4")
+            payload = {
+                'model': cls.get_model(model),
+                'messages': messages
+            }
+            async with session.post(cls.chat_url, json=payload, headers={"x-vqd-4": vqd_4}) as response:
+                await raise_for_status(response)
+                async for line in response.content:
+                    if line.startswith(b"data: "):
+                        chunk = line[6:]
+                        if chunk.startswith(b"[DONE]"):
+                            break
+                        data = json.loads(chunk)
+                        if "message" in data:
+                            yield data["message"]
\ No newline at end of file
diff --git a/g4f/Provider/HuggingFace.py b/g4f/Provider/HuggingFace.py
index 647780fd..6a05c26e 100644
--- a/g4f/Provider/HuggingFace.py
+++ b/g4f/Provider/HuggingFace.py
@@ -13,6 +13,10 @@ class HuggingFace(AsyncGeneratorProvider, ProviderModelMixin):
     url = "https://huggingface.co/chat"
     working = True
     supports_message_history = True
+    models = [
+        "mistralai/Mixtral-8x7B-Instruct-v0.1",
+        "mistralai/Mistral-7B-Instruct-v0.2"
+    ]
     default_model = "mistralai/Mixtral-8x7B-Instruct-v0.1"
 
     @classmethod
@@ -29,7 +33,7 @@ class HuggingFace(AsyncGeneratorProvider, ProviderModelMixin):
         temperature: float = 0.7,
         **kwargs
     ) -> AsyncResult:
-        model = cls.get_model(model)
+        model = cls.get_model(model) if not model else model
         headers = {}
         if api_key is not None:
             headers["Authorization"] = f"Bearer {api_key}"
diff --git a/g4f/Provider/WhiteRabbitNeo.py b/g4f/Provider/WhiteRabbitNeo.py
new file mode 100644
index 00000000..339434e6
--- /dev/null
+++ b/g4f/Provider/WhiteRabbitNeo.py
@@ -0,0 +1,57 @@
+from __future__ import annotations
+
+from aiohttp import ClientSession, BaseConnector
+
+from ..typing import AsyncResult, Messages, Cookies
+from ..requests.raise_for_status import raise_for_status
+from .base_provider import AsyncGeneratorProvider
+from .helper import get_cookies, get_connector, get_random_string
+
+class WhiteRabbitNeo(AsyncGeneratorProvider):
+    url = "https://www.whiterabbitneo.com"
+    working = True
+    supports_message_history = True
+    needs_auth = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        cookies: Cookies = None,
+        connector: BaseConnector = None,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        if cookies is None:
+            cookies = get_cookies("www.whiterabbitneo.com")
+        headers = {
+            "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:123.0) Gecko/20100101 Firefox/123.0",
+            "Accept": "*/*",
+            "Accept-Language": "de,en-US;q=0.7,en;q=0.3",
+            "Accept-Encoding": "gzip, deflate, br",
+            "Referer": f"{cls.url}/",
+            "Content-Type": "text/plain;charset=UTF-8",
+            "Origin": cls.url,
+            "Connection": "keep-alive",
+            "Sec-Fetch-Dest": "empty",
+            "Sec-Fetch-Mode": "cors",
+            "Sec-Fetch-Site": "same-origin",
+            "TE": "trailers"
+        }
+        async with ClientSession(
+            headers=headers,
+            cookies=cookies,
+            connector=get_connector(connector, proxy)
+        ) as session:
+            data = {
+                "messages": messages,
+                "id": get_random_string(6),
+                "enhancePrompt": False,
+                "useFunctions": False
+            }
+            async with session.post(f"{cls.url}/api/chat", json=data, proxy=proxy) as response:
+                await raise_for_status(response)
+                async for chunk in response.content.iter_any():
+                    if chunk:
+                        yield chunk.decode(errors="ignore")
\ No newline at end of file
diff --git a/g4f/Provider/__init__.py b/g4f/Provider/__init__.py
index 1db29e19..b567305c 100644
--- a/g4f/Provider/__init__.py
+++ b/g4f/Provider/__init__.py
@@ -21,6 +21,7 @@ from .ChatgptFree      import ChatgptFree
 from .ChatgptNext      import ChatgptNext
 from .ChatgptX         import ChatgptX
 from .DeepInfra        import DeepInfra
+from .DuckDuckGo       import DuckDuckGo
 from .FlowGpt          import FlowGpt
 from .FreeChatgpt      import FreeChatgpt
 from .FreeGpt          import FreeGpt
@@ -37,6 +38,7 @@ from .Local            import Local
 from .PerplexityLabs   import PerplexityLabs
 from .Pi               import Pi
 from .Vercel           import Vercel
+from .WhiteRabbitNeo   import WhiteRabbitNeo
 from .You              import You
 
 import sys
diff --git a/g4f/gui/client/index.html b/g4f/gui/client/index.html
index 7103b9c3..d6ad5241 100644
--- a/g4f/gui/client/index.html
+++ b/g4f/gui/client/index.html
@@ -37,6 +37,7 @@
         import llamaTokenizer from "llama-tokenizer-js"
     </script>
     <script src="https://unpkg.com/gpt-tokenizer/dist/cl100k_base.js" async></script>
+    <script src="/static/js/text_to_speech/index.js" async></script>
     <script>
         const user_image = '<img src="/static/img/user.png" alt="your avatar">';
         const gpt_image = '<img src="/static/img/gpt.png" alt="your avatar">';
@@ -49,7 +50,7 @@
 <body>
     <div class="gradient"></div>
     <div class="row">
-        <div class="box conversations hidden">
+        <div class="box conversations">
             <div class="top">
                 <button class="new_convo" onclick="new_conversation()">
                     <i class="fa-regular fa-plus"></i>
@@ -57,17 +58,18 @@
                 </button>
             </div>
             <div class="bottom_buttons">
-                <button onclick="delete_conversations()">
-                    <i class="fa-regular fa-trash"></i>
-                    <span>Clear Conversations</span>
-                </button>
-                <button onclick="save_storage()">
-                    <i class="fa-solid fa-download"></i>
-                    <a href="" onclick="return false;">Export Conversations</a>
+                <button onclick="open_settings();">
+                    <i class="fa-solid fa-toolbox"></i>
+                    <span>Open Settings</span>
                 </button>
                 <div class="info">
+                    <i class="fa-brands fa-discord"></i>
+                    <span class="convo-title">discord ~ <a href="https://discord.gg/XfybzPXPH5">discord.gg/XfybzPXPH5</a>
+                    </span>
+                </div>
+                <div class="info">
                     <i class="fa-brands fa-github"></i>
-                    <span class="convo-title">github ~ <a href="https://github.com/xtekky/gpt4free">@gpt4free</a>
+                    <span class="convo-title">github ~ <a href="https://github.com/xtekky/gpt4free">@xtekky/gpt4free</a>
                     </span>
                 </div>
                 <div class="info">
@@ -76,22 +78,46 @@
                 </div>
             </div>
         </div>
-        <div class="settings">
-            <div class="field box">
-                <label for="OpenaiChat-api_key" class="label" title="">OpenaiChat: access_token</label>
-                <textarea id="OpenaiChat-api_key" name="OpenaiChat[api_key]" placeholder="..."></textarea>
+        <div class="settings hidden">
+            <div class="paper">
+            <div class="field">
+                <span class="label">Web Access</span>
+                <input type="checkbox" id="switch" />
+                <label for="switch" class="toogle" title="Add the pages of the first 5 search results to the query."></label>
+            </div>
+            <div class="field">
+                <span class="label">Disable History</span>
+                <input type="checkbox" id="history" />
+                <label for="history" class="toogle" title="To improve the reaction time or if you have trouble with large conversations."></label>
             </div>
             <div class="field">
-                <span class="label">OpenaiChat: Auto continue</span>
-                <input id="OpenaiChat-auto_continue" type="checkbox" name="OpenaiChat[auto_continue]" checked/>
-                <label for="OpenaiChat-auto_continue" class="toogle" title=""></label>
+                <span class="label">Hide System prompt</span>
+                <input type="checkbox" id="hide-systemPrompt" />
+                <label for="hide-systemPrompt" class="toogle" title="For more space on phones"></label>
+            </div>
+            <div class="field">
+                <span class="label">Auto continue</span>
+                <input id="auto_continue" type="checkbox" name="auto_continue" checked/>
+                <label for="auto_continue" class="toogle" title="Continue large responses in OpenaiChat"></label>
+            </div>
+            <div class="field box">
+                <label for="message-input-height" class="label" title="">Input max. grow height</label>
+                <input type="number" id="message-input-height" value="200"/>
+            </div>
+            <div class="field box">
+                <label for="recognition-language" class="label" title="">Speech recognition lang</label>
+                <input type="text" id="recognition-language" value="" placeholder="navigator.language"/>
+            </div>
+            <div class="field box">
+                <label for="OpenaiChat-api_key" class="label" title="">OpenaiChat: api_key</label>
+                <textarea id="OpenaiChat-api_key" name="OpenaiChat[api_key]" placeholder="..."></textarea>
             </div>
             <div class="field box">
                 <label for="Bing-api_key" class="label" title="">Bing: "_U" cookie</label>
                 <textarea id="Bing-api_key" name="Bing[api_key]" placeholder="..."></textarea>
             </div>
             <div class="field box">
-                <label for="Gemini-api_key" class="label" title="">Gemini: Auth cookies</label>
+                <label for="Gemini-api_key" class="label" title="">Gemini: Cookies</label>
                 <textarea id="Gemini-api_key" name="Gemini[api_key]" placeholder="..."></textarea>
             </div>
             <div class="field box">
@@ -99,6 +125,10 @@
                 <textarea id="Openai-api_key" name="Openai[api_key]" placeholder="..."></textarea>
             </div>
             <div class="field box">
+                <label for="Groq-api_key" class="label" title="">Groq: api_key</label>
+                <textarea id="Groq-api_key" name="Groq[api_key]" placeholder="..."></textarea>
+            </div>
+            <div class="field box">
                 <label for="GeminiPro-api_key" class="label" title="">GeminiPro: api_key</label>
                 <textarea id="GeminiPro-api_key" name="GeminiPro[api_key]" placeholder="..."></textarea>
             </div>
@@ -106,6 +136,17 @@
                 <label for="HuggingFace-api_key" class="label" title="">HuggingFace: api_key</label>
                 <textarea id="HuggingFace-api_key" name="HuggingFace[api_key]" placeholder="..."></textarea>
             </div>
+            </div>
+            <div class="bottom_buttons">
+                <button onclick="delete_conversations()">
+                    <i class="fa-regular fa-trash"></i>
+                    <span>Clear Conversations</span>
+                </button>
+                <button onclick="save_storage()">
+                    <i class="fa-solid fa-download"></i>
+                    <a href="" onclick="return false;">Export Conversations</a>
+                </button>
+            </div>
         </div>
         <div class="conversation">
             <textarea id="systemPrompt" class="box" placeholder="System prompt"></textarea>    
@@ -143,6 +184,9 @@
                         <input type="file" id="file" name="file" accept="text/plain, text/html, text/xml, application/json, text/javascript, .sh, .py, .php, .css, .yaml, .sql, .log, .csv, .twig, .md" required/>
                         <i class="fa-solid fa-paperclip"></i>
                     </label>
+                    <label class="micro-label" for="micro">
+                        <i class="fa-solid fa-microphone-slash"></i>
+                    </label>
                     <div id="send-button">
                         <i class="fa-solid fa-paper-plane-top"></i>
                     </div>
@@ -161,43 +205,15 @@
                     <select name="model2" id="model2" class="hidden"></select>
                 </div>
                 <div class="field">
-                    <select name="jailbreak" id="jailbreak" style="display: none;">
-                        <option value="default" selected>Set Jailbreak</option>
-                        <option value="gpt-math-1.0">math 1.0</option>
-                        <option value="gpt-dude-1.0">dude 1.0</option>
-                        <option value="gpt-dan-1.0">dan 1.0</option>
-                        <option value="gpt-dan-2.0">dan 2.0</option>
-                        <option value="gpt-dev-2.0">dev 2.0</option>
-                        <option value="gpt-evil-1.0">evil 1.0</option>
+                    <select name="provider" id="provider">
+                        <option value="">Provider: Auto</option>
+                        <option value="Bing">Bing</option>
+                        <option value="OpenaiChat">OpenaiChat</option>
+                        <option value="Gemini">Gemini</option>
+                        <option value="Liaobots">Liaobots</option>
+                        <option value="You">You</option>
+                        <option value="">----</option>
                     </select>
-                    <div class="field">
-                        <select name="provider" id="provider">
-                            <option value="">Provider: Auto</option>
-                            <option value="Bing">Bing</option>
-                            <option value="OpenaiChat">OpenaiChat</option>
-                            <option value="Gemini">Gemini</option>
-                            <option value="Liaobots">Liaobots</option>
-                            <option value="You">You</option>
-                            <option value="">----</option>
-                        </select>
-                    </div>
-                </div>
-                <div class="field">
-                    <input type="checkbox" id="switch" />
-                    <label for="switch" title="Add the pages of the first 5 search results to the query."></label>
-                    <span class="about">Web Access</span>
-                </div>
-                <!--
-                <div class="field">
-                    <input type="checkbox" id="patch" />
-                    <label for="patch" title="Enable create images with Bing."></label>
-                    <span class="about">Image Generator</span>
-                </div>
-                -->
-                <div class="field">
-                    <input type="checkbox" id="history" />
-                    <label for="history" title="To improve the reaction time or if you have trouble with large conversations."></label>
-                    <span class="about">Disable History</span>
                 </div>
             </div>
         </div>
diff --git a/g4f/gui/client/static/css/style.css b/g4f/gui/client/static/css/style.css
index 4db65863..faecda9f 100644
--- a/g4f/gui/client/static/css/style.css
+++ b/g4f/gui/client/static/css/style.css
@@ -84,15 +84,17 @@ body {
 }
 
 body {
-    padding: var(--section-gap);
+    padding: 10px;
     background: var(--colour-1);
     color: var(--colour-3);
     height: 100vh;
+    max-width: 1600px;
+    margin: auto;
 }
 
 .row {
     display: flex;
-    gap: var(--section-gap);
+    gap: 10px;
     height: 100%;
 }
 
@@ -106,12 +108,8 @@ body {
     border: 1px solid var(--blur-border);
 }
 
-.hidden {
-    display: none;
-}
-
 .conversations {
-    max-width: 260px;
+    max-width: 280px;
     padding: var(--section-gap);
     overflow: auto;
     flex-shrink: 0;
@@ -138,8 +136,7 @@ body {
 }
 
 .conversation .user-input {
-    max-height: 200px;
-    margin-bottom: 10px;
+    margin-bottom: 4px;
 }
 
 .conversation .user-input input {
@@ -183,8 +180,8 @@ body {
 .conversations {
     display: flex;
     flex-direction: column;
-    gap: var(--inner-gap);
-    padding: var(--inner-gap);
+    gap: 10px;
+    padding: 10px;
 }
 
 .conversations .title {
@@ -207,7 +204,12 @@ body {
     cursor: pointer;
     display: flex;
     align-items: center;
-    gap: 10px;
+    gap: 4px;
+}
+
+.conversations .convo .fa-trash {
+    position: absolute;
+    right: 8px;
 }
 
 .conversations .convo .choise {
@@ -216,7 +218,7 @@ body {
     background-color: var(--blur-bg);
 }
 
-.conversations i {
+.conversations i, .bottom_buttons i {
     color: var(--conversations);
     cursor: pointer;
 }
@@ -229,6 +231,10 @@ body {
     white-space: nowrap;
 }
 
+.convo-title .datetime {
+    font-size: 10px;
+}
+
 .message {
     width: 100%;
     overflow-wrap: break-word;
@@ -309,6 +315,7 @@ body {
     display: flex;
     flex-direction: column;
     gap: 10px;
+    flex-wrap: wrap;
 }
 
 .message .content,
@@ -326,6 +333,10 @@ body {
     max-width: 400px;
 }
 
+.message .content .audio{
+    display: flex;
+}
+
 .message .user i {
     position: absolute;
     bottom: -6px;
@@ -351,10 +362,28 @@ body {
     cursor: pointer;
 }
 
+.message .count .fa-clipboard,
+.message .count .fa-volume-high {
+    z-index: 1000;
+    cursor: pointer;
+}
+
 .message .user .fa-xmark {
     color: var(--colour-1);
 }
 
+.message .count .fa-clipboard {
+    color: var(--colour-3);
+}
+
+.message .count .fa-clipboard.clicked {
+    color: var(--accent);
+}
+
+.message .count .fa-volume-high.active {
+    color: var(--accent);
+}
+
 .message .assistant:hover .fa-xmark,
 .message .user:hover .fa-xmark {
     display: block;
@@ -482,7 +511,8 @@ body {
     display: none;
 }
 
-.file-label {
+.file-label,
+.micro-label {
     cursor: pointer;
     position: absolute;
     top: 10px;
@@ -490,7 +520,8 @@ body {
 }
 
 .file-label:has(> input:valid),
-.file-label.selected {
+.file-label.selected,
+.micro-label.recognition {
     color: var(--accent);
 }
 
@@ -498,11 +529,12 @@ label[for="image"] {
     top: 32px;
 }
 
-label[for="camera"] {
+label[for="micro"] {
     top: 54px;
 }
 
 label[for="camera"] {
+    top: 74px;
     display: none;
 }
 
@@ -556,6 +588,16 @@ label[for="camera"] {
     background: var(--accent);
 }
 
+.settings .bottom_buttons {
+    flex-direction: row;
+}
+
+.settings .bottom_buttons button {
+    display: inline-block;
+    max-width: 210px;
+    width: 100%;
+}
+
 .buttons input:checked+label:after {
     left: calc(100% - 5px - 20px);
 }
@@ -565,6 +607,7 @@ label[for="camera"] {
     align-items: center;
     justify-content: left;
     width: 100%;
+    margin-bottom: 4px;
 }
 
 .field {
@@ -635,6 +678,7 @@ select {
     display: flex;
     flex-direction: column;
     gap: 10px;
+    margin: 4px 0;
 }
 
 .bottom_buttons button {
@@ -807,7 +851,7 @@ a:-webkit-any-link {
     color: var(--colour-3);
 
     resize: vertical;
-    max-height: 150px;
+    max-height: 200px;
     min-height: 80px;
 }
 
@@ -1026,7 +1070,14 @@ a:-webkit-any-link {
 
 .settings {
     width: 100%;
-    display: none;
+    min-width: 700px;
+    display: flex;
+    flex-direction: column;
+}
+
+.settings .paper {
+    overflow: auto;
+    flex-direction: column;
 }
 
 .settings .field {
@@ -1039,6 +1090,19 @@ a:-webkit-any-link {
     padding: var(--inner-gap) 0;
 }
 
+.settings input {
+    background-color: transparent;
+    padding: 2px;
+    border: none;
+    font-size: 15px;
+    width: 100%;
+    color: var(--colour-3);
+}
+
+.settings input:focus {
+    outline: none;
+}
+
 .settings .label {
     font-size: 15px;
     padding: var(--inner-gap) 0;
@@ -1059,7 +1123,7 @@ a:-webkit-any-link {
     border-radius: 5px;
 }
 ::-webkit-scrollbar-thumb:hover {
-    background: var(--accent)
+    background: var(--accent);
 }
 
 .hljs {
@@ -1073,8 +1137,23 @@ a:-webkit-any-link {
 #message-input {
     height: 82px;
     margin-left: 20px;
+    max-height: 200px;
 }
 
 #message-input::-webkit-scrollbar {
     width: 5px;
+}
+
+.hidden {
+    display: none;
+}
+
+.blink {
+    animation: blinker 1s step-start infinite;
+}
+
+@keyframes blinker {
+    50% {
+        opacity: 0;
+    }
 }
\ No newline at end of file
diff --git a/g4f/gui/client/static/js/chat.v1.js b/g4f/gui/client/static/js/chat.v1.js
index a3a1cccf..02437bf7 100644
--- a/g4f/gui/client/static/js/chat.v1.js
+++ b/g4f/gui/client/static/js/chat.v1.js
@@ -10,18 +10,19 @@ const sendButton        = document.getElementById("send-button");
 const imageInput        = document.getElementById("image");
 const cameraInput       = document.getElementById("camera");
 const fileInput         = document.getElementById("file");
+const microLabel        = document.querySelector(".micro-label")
 const inputCount        = document.getElementById("input-count")
 const providerSelect    = document.getElementById("provider");
 const modelSelect       = document.getElementById("model");
 const modelProvider     = document.getElementById("model2");
 const systemPrompt      = document.getElementById("systemPrompt")
-const jailbreak         = document.getElementById("jailbreak");
+const settings          = document.querySelector(".settings")
 
 let prompt_lock = false;
 
 let content, content_inner, content_count = null;
 
-const options = ["switch", "model", "model2", "jailbreak", "patch", "provider", "history"];
+const optionElements = document.querySelectorAll(".settings input, .settings textarea, #model, #model2, #provider")
 
 messageInput.addEventListener("blur", () => {
     window.scrollTo(0, 0);
@@ -63,7 +64,8 @@ const highlight = (container) => {
     );
 }
 
-const register_remove_message = async () => {
+let stopped = false;
+const register_message_buttons = async () => {
     document.querySelectorAll(".message .fa-xmark").forEach(async (el) => {
         if (!("click" in el.dataset)) {
             el.dataset.click = "true";
@@ -77,6 +79,86 @@ const register_remove_message = async () => {
             })
         }
     });
+    document.querySelectorAll(".message .fa-clipboard").forEach(async (el) => {
+        if (!("click" in el.dataset)) {
+            el.dataset.click = "true";
+            el.addEventListener("click", async () => {
+                const message_el = el.parentElement.parentElement.parentElement;
+                const copyText = await get_message(window.conversation_id, message_el.dataset.index);
+                navigator.clipboard.writeText(copyText);
+                el.classList.add("clicked");
+                setTimeout(() => el.classList.remove("clicked"), 1000);
+            })
+        }
+    });
+    document.querySelectorAll(".message .fa-volume-high").forEach(async (el) => {
+        if (!("click" in el.dataset)) {
+            el.dataset.click = "true";
+            el.addEventListener("click", async () => {
+                if ("active" in el.classList || window.doSpeech) {
+                    stopped = true;
+                    return;
+                }
+                if (stopped) {
+                    stopped = false;
+                    return;
+                }
+                el.classList.add("blink")
+                el.classList.add("active")
+                const message_el = el.parentElement.parentElement.parentElement;
+                const content_el = el.parentElement.parentElement;
+                let speechText = await get_message(window.conversation_id, message_el.dataset.index);
+
+                speechText = speechText.replaceAll(/\[(.+)\]\(.+\)/gm, "($1)");
+                speechText = speechText.replaceAll("`", "").replaceAll("#", "")
+                speechText = speechText.replaceAll(
+                    /<!-- generated images start -->[\s\S]+<!-- generated images end -->/gm,
+                    ""
+                )
+
+                const lines = speechText.trim().split(/\n|\.|;/);
+                let ended = true;
+                window.onSpeechResponse = (url) => {
+                    el.classList.remove("blink")
+                    if (url) {
+                        var sound = document.createElement('audio');
+                        sound.controls = 'controls';
+                        sound.src = url;
+                        sound.type = 'audio/wav';
+                        if (ended) {
+                            sound.autoplay = true;
+                        }
+                        sound.onended = function() {
+                            ended = true;
+                        };
+                        sound.onplay = function() {
+                            ended = false;
+                        };
+                        var container = document.createElement('div');
+                        container.classList.add("audio");
+                        container.appendChild(sound);
+                        content_el.appendChild(container);
+                    }
+                    if (lines.length < 1 || stopped) {
+                        el.classList.remove("active");
+                        return;
+                    }
+                    while (lines.length > 0) {
+                        let line = lines.shift();
+                        var reg = new RegExp('^[0-9]$');
+                        if (line && !reg.test(line)) {
+                            return handleGenerateSpeech(line);
+                        }
+                    }
+                    if (!line) {
+                        el.classList.remove("active")
+                    }
+                }
+                let line = lines.shift();
+                return handleGenerateSpeech(line);
+            });
+        }
+    });
 }
 
 const delete_conversations = async () => {
@@ -132,7 +214,11 @@ const handle_ask = async () => {
                     : ''
                 }
                 </div>
-                <div class="count">${count_words_and_tokens(message, get_selected_model())}</div>
+                <div class="count">
+                    ${count_words_and_tokens(message, get_selected_model())}
+                    <i class="fa-solid fa-volume-high"></i>
+                    <i class="fa-regular fa-clipboard"></i>
+                </div>
             </div>
         </div>
     `;
@@ -305,15 +391,22 @@ const ask_gpt = async () => {
     try {
         const input = imageInput && imageInput.files.length > 0 ? imageInput : cameraInput;
         const file = input && input.files.length > 0 ? input.files[0] : null;
+        const provider = providerSelect.options[providerSelect.selectedIndex].value;
+        const auto_continue = document.getElementById("auto_continue")?.checked;
+        if (file && !provider)
+            provider = "Bing";
+        let api_key = null;
+        if (provider)
+            api_key = document.getElementById(`${provider}-api_key`)?.value;
         await api("conversation", {
             id: window.token,
             conversation_id: window.conversation_id,
             model: get_selected_model(),
-            jailbreak: jailbreak?.options[jailbreak.selectedIndex].value,
             web_search: document.getElementById("switch").checked,
-            provider: providerSelect.options[providerSelect.selectedIndex].value,
-            patch_provider: document.getElementById("patch")?.checked,
-            messages: messages
+            provider: provider,
+            messages: messages,
+            auto_continue: auto_continue,
+            api_key: api_key
         }, file);
         if (!error) {
             html = markdown_render(text);
@@ -341,7 +434,7 @@ const ask_gpt = async () => {
     window.scrollTo(0, 0);
     message_box.scrollTop = message_box.scrollHeight;
     await remove_cancel_button();
-    await register_remove_message();
+    await register_message_buttons();
     prompt_lock = false;
     await load_conversations();
     regenerate.classList.remove("regenerate-hidden");
@@ -459,7 +552,11 @@ const load_conversation = async (conversation_id, scroll=true) => {
                 <div class="content">
                     ${provider}
                     <div class="content_inner">${markdown_render(item.content)}</div>
-                    <div class="count">${count_words_and_tokens(item.content, next_provider?.model)}</div>
+                    <div class="count">
+                        ${count_words_and_tokens(item.content, next_provider?.model)}
+                        <i class="fa-solid fa-volume-high"></i>
+                        <i class="fa-regular fa-clipboard"></i>
+                    </div>
                 </div>
             </div>
         `;
@@ -475,8 +572,9 @@ const load_conversation = async (conversation_id, scroll=true) => {
     }
 
     message_box.innerHTML = elements;
-    register_remove_message();
+    register_message_buttons();
     highlight(message_box);
+    regenerate.classList.remove("regenerate-hidden");
 
     if (scroll) {
         message_box.scrollTo({ top: message_box.scrollHeight, behavior: "smooth" });
@@ -495,6 +593,7 @@ async function get_conversation(conversation_id) {
 }
 
 async function save_conversation(conversation_id, conversation) {
+    conversation.updated = Date.now();
     appStorage.setItem(
         `conversation:${conversation_id}`,
         JSON.stringify(conversation)
@@ -517,6 +616,7 @@ async function add_conversation(conversation_id, content) {
         await save_conversation(conversation_id, {
             id: conversation_id,
             title: title,
+            added: Date.now(),
             system: systemPrompt?.value,
             items: [],
         });
@@ -530,8 +630,10 @@ async function save_system_message() {
         return;
     }
     const conversation = await get_conversation(window.conversation_id);
-    conversation.system = systemPrompt?.value;
-    await save_conversation(window.conversation_id, conversation);
+    if (conversation) {
+        conversation.system = systemPrompt?.value;
+        await save_conversation(window.conversation_id, conversation);
+    }
 }
 
 const hide_last_message = async (conversation_id) => {
@@ -563,6 +665,12 @@ const remove_message = async (conversation_id, index) => {
     await save_conversation(conversation_id, conversation);
 };
 
+const get_message = async (conversation_id, index) => {
+    const messages = await get_messages(conversation_id);
+    if (index in messages)
+        return messages[index]["content"];
+};
+
 const add_message = async (conversation_id, role, content, provider) => {
     const conversation = await get_conversation(conversation_id);
     conversation.items.push({
@@ -586,11 +694,17 @@ const load_conversations = async () => {
     await clear_conversations();
 
     for (conversation of conversations) {
+        let updated = "";
+        if (conversation.updated) {
+            const date = new Date(conversation.updated);
+            updated = date.toLocaleString('en-GB', {dateStyle: 'short', timeStyle: 'short', monthStyle: 'short'});
+            updated = updated.replace("/" + date.getFullYear(), "")
+        }
         box_conversations.innerHTML += `
             <div class="convo" id="convo-${conversation.id}">
                 <div class="left" onclick="set_conversation('${conversation.id}')">
                     <i class="fa-regular fa-comments"></i>
-                    <span class="convo-title">${conversation.title}</span>
+                    <span class="convo-title"><span class="datetime">${updated}</span> ${conversation.title}</span>
                 </div>
                 <i onclick="show_option('${conversation.id}')" class="fa-regular fa-trash" id="conv-${conversation.id}"></i>
                 <div id="cho-${conversation.id}" class="choise" style="display:none;">
@@ -642,7 +756,8 @@ const message_id = () => {
 async function hide_sidebar() {
     sidebar.classList.remove("shown");
     sidebar_button.classList.remove("rotated");
-    if (window.location.pathname == "/menu/") {
+    settings.classList.add("hidden");
+    if (window.location.pathname == "/menu/" || window.location.pathname == "/settings/") {
         history.back();
     }
 }
@@ -650,6 +765,7 @@ async function hide_sidebar() {
 window.addEventListener('popstate', hide_sidebar, false);
 
 sidebar_button.addEventListener("click", (event) => {
+    settings.classList.add("hidden");
     if (sidebar.classList.contains("shown")) {
         hide_sidebar();
     } else {
@@ -660,31 +776,45 @@ sidebar_button.addEventListener("click", (event) => {
     window.scrollTo(0, 0);
 });
 
+function open_settings() {
+    if (settings.classList.contains("hidden")) {
+        sidebar.classList.remove("shown");
+        settings.classList.remove("hidden");
+        history.pushState({}, null, "/settings/");
+    } else {
+        settings.classList.add("hidden");
+    }
+}
+
 const register_settings_storage = async () => {
-    options.forEach((id) => {
-        element = document.getElementById(id);
-        if (!element) {
-            return;
+    optionElements.forEach((element) => {
+        if (element.type == "textarea") {
+            element.addEventListener('input', async (event) => {
+                appStorage.setItem(element.id, element.value);
+            });
+        } else {
+            element.addEventListener('change', async (event) => {
+                switch (element.type) {
+                    case "checkbox":
+                        appStorage.setItem(element.id, element.checked);
+                        break;
+                    case "select-one":
+                        appStorage.setItem(element.id, element.selectedIndex);
+                        break;
+                    case "text":
+                        appStorage.setItem(element.id, element.value);
+                        break;
+                    default:
+                        console.warn("Unresolved element type");
+                }
+            });
         }
-        element.addEventListener('change', async (event) => {
-            switch (event.target.type) {
-                case "checkbox":
-                    appStorage.setItem(id, event.target.checked);
-                    break;
-                case "select-one":
-                    appStorage.setItem(id, event.target.selectedIndex);
-                    break;
-                default:
-                    console.warn("Unresolved element type");
-            }
-        });
     });
 }
 
 const load_settings_storage = async () => {
-    options.forEach((id) => {
-        element = document.getElementById(id);
-        if (!element || !(value = appStorage.getItem(id))) {
+    optionElements.forEach((element) => {
+        if (!(value = appStorage.getItem(element.id))) {
             return;
         }
         if (value) {
@@ -695,6 +825,10 @@ const load_settings_storage = async () => {
                 case "select-one":
                     element.selectedIndex = parseInt(value);
                     break;
+                case "text":
+                case "textarea":
+                    element.value = value;
+                    break;
                 default:
                     console.warn("Unresolved element type");
             }
@@ -791,7 +925,7 @@ systemPrompt.addEventListener("focus", function() {
     countFocus = systemPrompt;
     count_input();
 });
-systemPrompt.addEventListener("blur", function() {
+systemPrompt.addEventListener("input", function() {
     countFocus = messageInput;
     count_input();
 });
@@ -859,6 +993,27 @@ async function on_api() {
 
     await load_provider_models(appStorage.getItem("provider"));
     await load_settings_storage()
+
+    const hide_systemPrompt = document.getElementById("hide-systemPrompt")
+    if (hide_systemPrompt.checked) {
+        systemPrompt.classList.add("hidden");
+    }
+    hide_systemPrompt.addEventListener('change', async (event) => {
+        if (event.target.checked) {
+            systemPrompt.classList.add("hidden");
+        } else {
+            systemPrompt.classList.remove("hidden");
+        }
+    });
+    const messageInputHeight = document.getElementById("message-input-height");
+    if (messageInputHeight) {
+        if (messageInputHeight.value) {
+            messageInput.style.maxHeight = `${messageInputHeight.value}px`;
+        }
+        messageInputHeight.addEventListener('change', async () => {
+            messageInput.style.maxHeight = `${messageInputHeight.value}px`;
+        });
+    }
 }
 
 async function load_version() {
@@ -875,7 +1030,7 @@ async function load_version() {
     }
     document.getElementById("version_text").innerHTML = text
 }
-setTimeout(load_version, 5000);
+setTimeout(load_version, 2000);
 
 for (const el of [imageInput, cameraInput]) {
     el.addEventListener('click', async () => {
@@ -928,7 +1083,7 @@ fileInput.addEventListener('change', async (event) => {
     }
 });
 
-systemPrompt?.addEventListener("blur", async () => {
+systemPrompt?.addEventListener("input", async () => {
     await save_system_message();
 });
 
@@ -1035,12 +1190,12 @@ function save_storage() {
         let item = appStorage.getItem(key);
         if (key.startsWith("conversation:")) {
             data[key] = JSON.parse(item);
-        } else {
+        } else if (!key.includes("api_key")) {
             data["options"][key] = item;
         }
     }
     data = JSON.stringify(data, null, 4);
-    const blob = new Blob([data], {type: 'text/csv'});
+    const blob = new Blob([data], {type: 'application/json'});
     if(window.navigator.msSaveOrOpenBlob) {
         window.navigator.msSaveBlob(blob, filename);
     } else{
@@ -1051,4 +1206,68 @@ function save_storage() {
         elem.click();        
         document.body.removeChild(elem);
     }
+}
+
+const SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition;
+if (SpeechRecognition) {
+    const mircoIcon = microLabel.querySelector("i");
+    mircoIcon.classList.add("fa-microphone");
+    mircoIcon.classList.remove("fa-microphone-slash");
+
+    const recognition = new SpeechRecognition();
+    recognition.continuous = true;
+    recognition.interimResults = true;
+    recognition.maxAlternatives = 1;
+
+    function may_stop() {
+        if (microLabel.classList.contains("recognition")) {
+            recognition.stop();
+        }
+    }
+
+    let startValue;
+    let lastValue;
+    let timeoutHandle;
+    recognition.onstart = function() {
+        microLabel.classList.add("recognition");
+        startValue = messageInput.value;
+        lastValue = "";
+        timeoutHandle = window.setTimeout(may_stop, 8000);
+    };
+    recognition.onend = function() {
+        microLabel.classList.remove("recognition");
+    };
+    recognition.onresult = function(event) {
+        if (!event.results) {
+            return;
+        }
+        window.clearTimeout(timeoutHandle);
+        let newText;
+        Array.from(event.results).forEach((result) => {
+            newText = result[0].transcript;
+            if (newText && newText != lastValue) {
+                messageInput.value = `${startValue ? startValue+"\n" : ""}${newText.trim()}`;
+                if (result.isFinal) {
+                    lastValue = newText;
+                    startValue = messageInput.value;
+                    messageInput.focus();
+                }
+                messageInput.style.height = messageInput.scrollHeight  + "px";
+                messageInput.scrollTop = messageInput.scrollHeight;
+            }
+        });
+        window.clearTimeout(timeoutHandle);
+        timeoutHandle = window.setTimeout(may_stop, newText ? 8000 : 5000);
+    };
+
+    microLabel.addEventListener("click", () => {
+        if (microLabel.classList.contains("recognition")) {
+            window.clearTimeout(timeoutHandle);
+            recognition.stop();
+        } else {
+            const lang = document.getElementById("recognition-language")?.value;
+            recognition.lang = lang || navigator.language;
+            recognition.start();
+        }
+    });
 }
\ No newline at end of file
diff --git a/g4f/gui/client/static/js/text_to_speech/630.index.js b/g4f/gui/client/static/js/text_to_speech/630.index.js
new file mode 100644
index 00000000..14014e2e
--- /dev/null
+++ b/g4f/gui/client/static/js/text_to_speech/630.index.js
@@ -0,0 +1 @@
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t=this.high,e=this.low;return[t>>>24,t>>>16&255,t>>>8&255,255&t,e>>>24,e>>>16&255,e>>>8&255,255&e]},n.fromBytes=function(t,e,r){return r?n.fromBytesLE(t,e):n.fromBytesBE(t,e)},n.fromBytesLE=function(t,e){return new n(t[0]|t[1]<<8|t[2]<<16|t[3]<<24,t[4]|t[5]<<8|t[6]<<16|t[7]<<24,e)},n.fromBytesBE=function(t,e){return new n(t[4]<<24|t[5]<<16|t[6]<<8|t[7],t[0]<<24|t[1]<<16|t[2]<<8|t[3],e)}},1446:(t,e,n)=>{"use strict";var r,i,s,o=n(2100),a=o.Reader,u=o.Writer,l=o.util,c=o.roots.default||(o.roots.default={});c.onnx=((s={}).Version=(r={},(i=Object.create(r))[r[0]="_START_VERSION"]=0,i[r[1]="IR_VERSION_2017_10_10"]=1,i[r[2]="IR_VERSION_2017_10_30"]=2,i[r[3]="IR_VERSION_2017_11_3"]=3,i[r[4]="IR_VERSION_2019_1_22"]=4,i[r[5]="IR_VERSION"]=5,i),s.AttributeProto=function(){function t(t){if(this.floats=[],this.ints=[],this.strings=[],this.tensors=[],this.graphs=[],t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.name="",t.prototype.refAttrName="",t.prototype.docString="",t.prototype.type=0,t.prototype.f=0,t.prototype.i=l.Long?l.Long.fromBits(0,0,!1):0,t.prototype.s=l.newBuffer([]),t.prototype.t=null,t.prototype.g=null,t.prototype.floats=l.emptyArray,t.prototype.ints=l.emptyArray,t.prototype.strings=l.emptyArray,t.prototype.tensors=l.emptyArray,t.prototype.graphs=l.emptyArray,t.create=function(e){return new t(e)},t.encode=function(t,e){if(e||(e=u.create()),null!=t.name&&t.hasOwnProperty("name")&&e.uint32(10).string(t.name),null!=t.f&&t.hasOwnProperty("f")&&e.uint32(21).float(t.f),null!=t.i&&t.hasOwnProperty("i")&&e.uint32(24).int64(t.i),null!=t.s&&t.hasOwnProperty("s")&&e.uint32(34).bytes(t.s),null!=t.t&&t.hasOwnProperty("t")&&c.onnx.TensorProto.encode(t.t,e.uint32(42).fork()).ldelim(),null!=t.g&&t.hasOwnProperty("g")&&c.onnx.GraphProto.encode(t.g,e.uint32(50).fork()).ldelim(),null!=t.floats&&t.floats.length){e.uint32(58).fork();for(var 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i=t.uint32();switch(i>>>3){case 1:r.name=t.string();break;case 21:r.refAttrName=t.string();break;case 13:r.docString=t.string();break;case 20:r.type=t.int32();break;case 2:r.f=t.float();break;case 3:r.i=t.int64();break;case 4:r.s=t.bytes();break;case 5:r.t=c.onnx.TensorProto.decode(t,t.uint32());break;case 6:r.g=c.onnx.GraphProto.decode(t,t.uint32());break;case 7:if(r.floats&&r.floats.length||(r.floats=[]),2==(7&i))for(var s=t.uint32()+t.pos;t.pos<s;)r.floats.push(t.float());else r.floats.push(t.float());break;case 8:if(r.ints&&r.ints.length||(r.ints=[]),2==(7&i))for(s=t.uint32()+t.pos;t.pos<s;)r.ints.push(t.int64());else r.ints.push(t.int64());break;case 9:r.strings&&r.strings.length||(r.strings=[]),r.strings.push(t.bytes());break;case 10:r.tensors&&r.tensors.length||(r.tensors=[]),r.tensors.push(c.onnx.TensorProto.decode(t,t.uint32()));break;case 11:r.graphs&&r.graphs.length||(r.graphs=[]),r.graphs.push(c.onnx.GraphProto.decode(t,t.uint32()));break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof a||(t=new a(t)),this.decode(t,t.uint32())},t.verify=function(t){if("object"!=typeof t||null===t)return"object expected";if(null!=t.name&&t.hasOwnProperty("name")&&!l.isString(t.name))return"name: string expected";if(null!=t.refAttrName&&t.hasOwnProperty("refAttrName")&&!l.isString(t.refAttrName))return"refAttrName: string expected";if(null!=t.docString&&t.hasOwnProperty("docString")&&!l.isString(t.docString))return"docString: string expected";if(null!=t.type&&t.hasOwnProperty("type"))switch(t.type){default:return"type: enum value expected";case 0:case 1:case 2:case 3:case 4:case 5:case 6:case 7:case 8:case 9:case 10:}if(null!=t.f&&t.hasOwnProperty("f")&&"number"!=typeof t.f)return"f: number expected";if(null!=t.i&&t.hasOwnProperty("i")&&!(l.isInteger(t.i)||t.i&&l.isInteger(t.i.low)&&l.isInteger(t.i.high)))return"i: integer|Long expected";if(null!=t.s&&t.hasOwnProperty("s")&&!(t.s&&"number"==typeof t.s.length||l.isString(t.s)))return"s: buffer expected";if(null!=t.t&&t.hasOwnProperty("t")&&(n=c.onnx.TensorProto.verify(t.t)))return"t."+n;if(null!=t.g&&t.hasOwnProperty("g")&&(n=c.onnx.GraphProto.verify(t.g)))return"g."+n;if(null!=t.floats&&t.hasOwnProperty("floats")){if(!Array.isArray(t.floats))return"floats: array expected";for(var e=0;e<t.floats.length;++e)if("number"!=typeof t.floats[e])return"floats: number[] expected"}if(null!=t.ints&&t.hasOwnProperty("ints")){if(!Array.isArray(t.ints))return"ints: array expected";for(e=0;e<t.ints.length;++e)if(!(l.isInteger(t.ints[e])||t.ints[e]&&l.isInteger(t.ints[e].low)&&l.isInteger(t.ints[e].high)))return"ints: integer|Long[] expected"}if(null!=t.strings&&t.hasOwnProperty("strings")){if(!Array.isArray(t.strings))return"strings: array expected";for(e=0;e<t.strings.length;++e)if(!(t.strings[e]&&"number"==typeof t.strings[e].length||l.isString(t.strings[e])))return"strings: buffer[] 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8:e.type=8;break;case"TENSORS":case 9:e.type=9;break;case"GRAPHS":case 10:e.type=10}if(null!=t.f&&(e.f=Number(t.f)),null!=t.i&&(l.Long?(e.i=l.Long.fromValue(t.i)).unsigned=!1:"string"==typeof t.i?e.i=parseInt(t.i,10):"number"==typeof t.i?e.i=t.i:"object"==typeof t.i&&(e.i=new l.LongBits(t.i.low>>>0,t.i.high>>>0).toNumber())),null!=t.s&&("string"==typeof t.s?l.base64.decode(t.s,e.s=l.newBuffer(l.base64.length(t.s)),0):t.s.length&&(e.s=t.s)),null!=t.t){if("object"!=typeof t.t)throw TypeError(".onnx.AttributeProto.t: object expected");e.t=c.onnx.TensorProto.fromObject(t.t)}if(null!=t.g){if("object"!=typeof t.g)throw TypeError(".onnx.AttributeProto.g: object expected");e.g=c.onnx.GraphProto.fromObject(t.g)}if(t.floats){if(!Array.isArray(t.floats))throw TypeError(".onnx.AttributeProto.floats: array expected");e.floats=[];for(var n=0;n<t.floats.length;++n)e.floats[n]=Number(t.floats[n])}if(t.ints){if(!Array.isArray(t.ints))throw TypeError(".onnx.AttributeProto.ints: array 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TypeError(".onnx.AttributeProto.graphs: array expected");for(e.graphs=[],n=0;n<t.graphs.length;++n){if("object"!=typeof t.graphs[n])throw TypeError(".onnx.AttributeProto.graphs: object expected");e.graphs[n]=c.onnx.GraphProto.fromObject(t.graphs[n])}}return e},t.toObject=function(t,e){e||(e={});var n={};if((e.arrays||e.defaults)&&(n.floats=[],n.ints=[],n.strings=[],n.tensors=[],n.graphs=[]),e.defaults){if(n.name="",n.f=0,l.Long){var r=new l.Long(0,0,!1);n.i=e.longs===String?r.toString():e.longs===Number?r.toNumber():r}else n.i=e.longs===String?"0":0;e.bytes===String?n.s="":(n.s=[],e.bytes!==Array&&(n.s=l.newBuffer(n.s))),n.t=null,n.g=null,n.docString="",n.type=e.enums===String?"UNDEFINED":0,n.refAttrName=""}if(null!=t.name&&t.hasOwnProperty("name")&&(n.name=t.name),null!=t.f&&t.hasOwnProperty("f")&&(n.f=e.json&&!isFinite(t.f)?String(t.f):t.f),null!=t.i&&t.hasOwnProperty("i")&&("number"==typeof 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e[t[0]="UNDEFINED"]=0,e[t[1]="FLOAT"]=1,e[t[2]="INT"]=2,e[t[3]="STRING"]=3,e[t[4]="TENSOR"]=4,e[t[5]="GRAPH"]=5,e[t[6]="FLOATS"]=6,e[t[7]="INTS"]=7,e[t[8]="STRINGS"]=8,e[t[9]="TENSORS"]=9,e[t[10]="GRAPHS"]=10,e}(),t}(),s.ValueInfoProto=function(){function t(t){if(t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.name="",t.prototype.type=null,t.prototype.docString="",t.create=function(e){return new t(e)},t.encode=function(t,e){return e||(e=u.create()),null!=t.name&&t.hasOwnProperty("name")&&e.uint32(10).string(t.name),null!=t.type&&t.hasOwnProperty("type")&&c.onnx.TypeProto.encode(t.type,e.uint32(18).fork()).ldelim(),null!=t.docString&&t.hasOwnProperty("docString")&&e.uint32(26).string(t.docString),e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof a||(t=a.create(t));for(var n=void 0===e?t.len:t.pos+e,r=new c.onnx.ValueInfoProto;t.pos<n;){var i=t.uint32();switch(i>>>3){case 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r=0;r<t.input.length;++r)n.input[r]=t.input[r]}if(t.output&&t.output.length)for(n.output=[],r=0;r<t.output.length;++r)n.output[r]=t.output[r];if(null!=t.name&&t.hasOwnProperty("name")&&(n.name=t.name),null!=t.opType&&t.hasOwnProperty("opType")&&(n.opType=t.opType),t.attribute&&t.attribute.length)for(n.attribute=[],r=0;r<t.attribute.length;++r)n.attribute[r]=c.onnx.AttributeProto.toObject(t.attribute[r],e);return null!=t.docString&&t.hasOwnProperty("docString")&&(n.docString=t.docString),null!=t.domain&&t.hasOwnProperty("domain")&&(n.domain=t.domain),n},t.prototype.toJSON=function(){return this.constructor.toObject(this,o.util.toJSONOptions)},t}(),s.ModelProto=function(){function t(t){if(this.opsetImport=[],this.metadataProps=[],t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.irVersion=l.Long?l.Long.fromBits(0,0,!1):0,t.prototype.opsetImport=l.emptyArray,t.prototype.producerName="",t.prototype.producerVersion="",t.prototype.domain="",t.prototype.modelVersion=l.Long?l.Long.fromBits(0,0,!1):0,t.prototype.docString="",t.prototype.graph=null,t.prototype.metadataProps=l.emptyArray,t.create=function(e){return new 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n=0;n<t.opsetImport.length;++n)c.onnx.OperatorSetIdProto.encode(t.opsetImport[n],e.uint32(66).fork()).ldelim();if(null!=t.metadataProps&&t.metadataProps.length)for(n=0;n<t.metadataProps.length;++n)c.onnx.StringStringEntryProto.encode(t.metadataProps[n],e.uint32(114).fork()).ldelim();return e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof a||(t=a.create(t));for(var n=void 0===e?t.len:t.pos+e,r=new c.onnx.ModelProto;t.pos<n;){var i=t.uint32();switch(i>>>3){case 1:r.irVersion=t.int64();break;case 8:r.opsetImport&&r.opsetImport.length||(r.opsetImport=[]),r.opsetImport.push(c.onnx.OperatorSetIdProto.decode(t,t.uint32()));break;case 2:r.producerName=t.string();break;case 3:r.producerVersion=t.string();break;case 4:r.domain=t.string();break;case 5:r.modelVersion=t.int64();break;case 6:r.docString=t.string();break;case 7:r.graph=c.onnx.GraphProto.decode(t,t.uint32());break;case 14:r.metadataProps&&r.metadataProps.length||(r.metadataProps=[]),r.metadataProps.push(c.onnx.StringStringEntryProto.decode(t,t.uint32()));break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof a||(t=new a(t)),this.decode(t,t.uint32())},t.verify=function(t){if("object"!=typeof t||null===t)return"object expected";if(null!=t.irVersion&&t.hasOwnProperty("irVersion")&&!(l.isInteger(t.irVersion)||t.irVersion&&l.isInteger(t.irVersion.low)&&l.isInteger(t.irVersion.high)))return"irVersion: integer|Long expected";if(null!=t.opsetImport&&t.hasOwnProperty("opsetImport")){if(!Array.isArray(t.opsetImport))return"opsetImport: array expected";for(var e=0;e<t.opsetImport.length;++e)if(n=c.onnx.OperatorSetIdProto.verify(t.opsetImport[e]))return"opsetImport."+n}if(null!=t.producerName&&t.hasOwnProperty("producerName")&&!l.isString(t.producerName))return"producerName: string 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c.onnx.ModelProto)return t;var e=new c.onnx.ModelProto;if(null!=t.irVersion&&(l.Long?(e.irVersion=l.Long.fromValue(t.irVersion)).unsigned=!1:"string"==typeof t.irVersion?e.irVersion=parseInt(t.irVersion,10):"number"==typeof t.irVersion?e.irVersion=t.irVersion:"object"==typeof t.irVersion&&(e.irVersion=new l.LongBits(t.irVersion.low>>>0,t.irVersion.high>>>0).toNumber())),t.opsetImport){if(!Array.isArray(t.opsetImport))throw TypeError(".onnx.ModelProto.opsetImport: array expected");e.opsetImport=[];for(var n=0;n<t.opsetImport.length;++n){if("object"!=typeof t.opsetImport[n])throw TypeError(".onnx.ModelProto.opsetImport: object 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expected");for(e.metadataProps=[],n=0;n<t.metadataProps.length;++n){if("object"!=typeof t.metadataProps[n])throw TypeError(".onnx.ModelProto.metadataProps: object expected");e.metadataProps[n]=c.onnx.StringStringEntryProto.fromObject(t.metadataProps[n])}}return e},t.toObject=function(t,e){e||(e={});var n={};if((e.arrays||e.defaults)&&(n.opsetImport=[],n.metadataProps=[]),e.defaults){if(l.Long){var r=new l.Long(0,0,!1);n.irVersion=e.longs===String?r.toString():e.longs===Number?r.toNumber():r}else n.irVersion=e.longs===String?"0":0;n.producerName="",n.producerVersion="",n.domain="",l.Long?(r=new l.Long(0,0,!1),n.modelVersion=e.longs===String?r.toString():e.longs===Number?r.toNumber():r):n.modelVersion=e.longs===String?"0":0,n.docString="",n.graph=null}if(null!=t.irVersion&&t.hasOwnProperty("irVersion")&&("number"==typeof t.irVersion?n.irVersion=e.longs===String?String(t.irVersion):t.irVersion:n.irVersion=e.longs===String?l.Long.prototype.toString.call(t.irVersion):e.longs===Number?new l.LongBits(t.irVersion.low>>>0,t.irVersion.high>>>0).toNumber():t.irVersion),null!=t.producerName&&t.hasOwnProperty("producerName")&&(n.producerName=t.producerName),null!=t.producerVersion&&t.hasOwnProperty("producerVersion")&&(n.producerVersion=t.producerVersion),null!=t.domain&&t.hasOwnProperty("domain")&&(n.domain=t.domain),null!=t.modelVersion&&t.hasOwnProperty("modelVersion")&&("number"==typeof t.modelVersion?n.modelVersion=e.longs===String?String(t.modelVersion):t.modelVersion:n.modelVersion=e.longs===String?l.Long.prototype.toString.call(t.modelVersion):e.longs===Number?new l.LongBits(t.modelVersion.low>>>0,t.modelVersion.high>>>0).toNumber():t.modelVersion),null!=t.docString&&t.hasOwnProperty("docString")&&(n.docString=t.docString),null!=t.graph&&t.hasOwnProperty("graph")&&(n.graph=c.onnx.GraphProto.toObject(t.graph,e)),t.opsetImport&&t.opsetImport.length){n.opsetImport=[];for(var i=0;i<t.opsetImport.length;++i)n.opsetImport[i]=c.onnx.OperatorSetIdProto.toObject(t.opsetImport[i],e)}if(t.metadataProps&&t.metadataProps.length)for(n.metadataProps=[],i=0;i<t.metadataProps.length;++i)n.metadataProps[i]=c.onnx.StringStringEntryProto.toObject(t.metadataProps[i],e);return n},t.prototype.toJSON=function(){return this.constructor.toObject(this,o.util.toJSONOptions)},t}(),s.StringStringEntryProto=function(){function t(t){if(t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.key="",t.prototype.value="",t.create=function(e){return new t(e)},t.encode=function(t,e){return e||(e=u.create()),null!=t.key&&t.hasOwnProperty("key")&&e.uint32(10).string(t.key),null!=t.value&&t.hasOwnProperty("value")&&e.uint32(18).string(t.value),e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof a||(t=a.create(t));for(var n=void 0===e?t.len:t.pos+e,r=new c.onnx.StringStringEntryProto;t.pos<n;){var i=t.uint32();switch(i>>>3){case 1:r.key=t.string();break;case 2:r.value=t.string();break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof a||(t=new a(t)),this.decode(t,t.uint32())},t.verify=function(t){return"object"!=typeof t||null===t?"object expected":null!=t.key&&t.hasOwnProperty("key")&&!l.isString(t.key)?"key: string expected":null!=t.value&&t.hasOwnProperty("value")&&!l.isString(t.value)?"value: string expected":null},t.fromObject=function(t){if(t instanceof c.onnx.StringStringEntryProto)return t;var e=new c.onnx.StringStringEntryProto;return null!=t.key&&(e.key=String(t.key)),null!=t.value&&(e.value=String(t.value)),e},t.toObject=function(t,e){e||(e={});var n={};return e.defaults&&(n.key="",n.value=""),null!=t.key&&t.hasOwnProperty("key")&&(n.key=t.key),null!=t.value&&t.hasOwnProperty("value")&&(n.value=t.value),n},t.prototype.toJSON=function(){return this.constructor.toObject(this,o.util.toJSONOptions)},t}(),s.TensorAnnotation=function(){function t(t){if(this.quantParameterTensorNames=[],t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.tensorName="",t.prototype.quantParameterTensorNames=l.emptyArray,t.create=function(e){return new t(e)},t.encode=function(t,e){if(e||(e=u.create()),null!=t.tensorName&&t.hasOwnProperty("tensorName")&&e.uint32(10).string(t.tensorName),null!=t.quantParameterTensorNames&&t.quantParameterTensorNames.length)for(var n=0;n<t.quantParameterTensorNames.length;++n)c.onnx.StringStringEntryProto.encode(t.quantParameterTensorNames[n],e.uint32(18).fork()).ldelim();return e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof a||(t=a.create(t));for(var n=void 0===e?t.len:t.pos+e,r=new c.onnx.TensorAnnotation;t.pos<n;){var i=t.uint32();switch(i>>>3){case 1:r.tensorName=t.string();break;case 2:r.quantParameterTensorNames&&r.quantParameterTensorNames.length||(r.quantParameterTensorNames=[]),r.quantParameterTensorNames.push(c.onnx.StringStringEntryProto.decode(t,t.uint32()));break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof a||(t=new a(t)),this.decode(t,t.uint32())},t.verify=function(t){if("object"!=typeof t||null===t)return"object expected";if(null!=t.tensorName&&t.hasOwnProperty("tensorName")&&!l.isString(t.tensorName))return"tensorName: string expected";if(null!=t.quantParameterTensorNames&&t.hasOwnProperty("quantParameterTensorNames")){if(!Array.isArray(t.quantParameterTensorNames))return"quantParameterTensorNames: array expected";for(var e=0;e<t.quantParameterTensorNames.length;++e){var n=c.onnx.StringStringEntryProto.verify(t.quantParameterTensorNames[e]);if(n)return"quantParameterTensorNames."+n}}return null},t.fromObject=function(t){if(t instanceof c.onnx.TensorAnnotation)return t;var e=new c.onnx.TensorAnnotation;if(null!=t.tensorName&&(e.tensorName=String(t.tensorName)),t.quantParameterTensorNames){if(!Array.isArray(t.quantParameterTensorNames))throw TypeError(".onnx.TensorAnnotation.quantParameterTensorNames: array expected");e.quantParameterTensorNames=[];for(var n=0;n<t.quantParameterTensorNames.length;++n){if("object"!=typeof t.quantParameterTensorNames[n])throw TypeError(".onnx.TensorAnnotation.quantParameterTensorNames: object expected");e.quantParameterTensorNames[n]=c.onnx.StringStringEntryProto.fromObject(t.quantParameterTensorNames[n])}}return e},t.toObject=function(t,e){e||(e={});var n={};if((e.arrays||e.defaults)&&(n.quantParameterTensorNames=[]),e.defaults&&(n.tensorName=""),null!=t.tensorName&&t.hasOwnProperty("tensorName")&&(n.tensorName=t.tensorName),t.quantParameterTensorNames&&t.quantParameterTensorNames.length){n.quantParameterTensorNames=[];for(var r=0;r<t.quantParameterTensorNames.length;++r)n.quantParameterTensorNames[r]=c.onnx.StringStringEntryProto.toObject(t.quantParameterTensorNames[r],e)}return n},t.prototype.toJSON=function(){return this.constructor.toObject(this,o.util.toJSONOptions)},t}(),s.GraphProto=function(){function t(t){if(this.node=[],this.initializer=[],this.input=[],this.output=[],this.valueInfo=[],this.quantizationAnnotation=[],t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.node=l.emptyArray,t.prototype.name="",t.prototype.initializer=l.emptyArray,t.prototype.docString="",t.prototype.input=l.emptyArray,t.prototype.output=l.emptyArray,t.prototype.valueInfo=l.emptyArray,t.prototype.quantizationAnnotation=l.emptyArray,t.create=function(e){return new t(e)},t.encode=function(t,e){if(e||(e=u.create()),null!=t.node&&t.node.length)for(var n=0;n<t.node.length;++n)c.onnx.NodeProto.encode(t.node[n],e.uint32(10).fork()).ldelim();if(null!=t.name&&t.hasOwnProperty("name")&&e.uint32(18).string(t.name),null!=t.initializer&&t.initializer.length)for(n=0;n<t.initializer.length;++n)c.onnx.TensorProto.encode(t.initializer[n],e.uint32(42).fork()).ldelim();if(null!=t.docString&&t.hasOwnProperty("docString")&&e.uint32(82).string(t.docString),null!=t.input&&t.input.length)for(n=0;n<t.input.length;++n)c.onnx.ValueInfoProto.encode(t.input[n],e.uint32(90).fork()).ldelim();if(null!=t.output&&t.output.length)for(n=0;n<t.output.length;++n)c.onnx.ValueInfoProto.encode(t.output[n],e.uint32(98).fork()).ldelim();if(null!=t.valueInfo&&t.valueInfo.length)for(n=0;n<t.valueInfo.length;++n)c.onnx.ValueInfoProto.encode(t.valueInfo[n],e.uint32(106).fork()).ldelim();if(null!=t.quantizationAnnotation&&t.quantizationAnnotation.length)for(n=0;n<t.quantizationAnnotation.length;++n)c.onnx.TensorAnnotation.encode(t.quantizationAnnotation[n],e.uint32(114).fork()).ldelim();return e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof a||(t=a.create(t));for(var n=void 0===e?t.len:t.pos+e,r=new c.onnx.GraphProto;t.pos<n;){var i=t.uint32();switch(i>>>3){case 1:r.node&&r.node.length||(r.node=[]),r.node.push(c.onnx.NodeProto.decode(t,t.uint32()));break;case 2:r.name=t.string();break;case 5:r.initializer&&r.initializer.length||(r.initializer=[]),r.initializer.push(c.onnx.TensorProto.decode(t,t.uint32()));break;case 10:r.docString=t.string();break;case 11:r.input&&r.input.length||(r.input=[]),r.input.push(c.onnx.ValueInfoProto.decode(t,t.uint32()));break;case 12:r.output&&r.output.length||(r.output=[]),r.output.push(c.onnx.ValueInfoProto.decode(t,t.uint32()));break;case 13:r.valueInfo&&r.valueInfo.length||(r.valueInfo=[]),r.valueInfo.push(c.onnx.ValueInfoProto.decode(t,t.uint32()));break;case 14:r.quantizationAnnotation&&r.quantizationAnnotation.length||(r.quantizationAnnotation=[]),r.quantizationAnnotation.push(c.onnx.TensorAnnotation.decode(t,t.uint32()));break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof a||(t=new a(t)),this.decode(t,t.uint32())},t.verify=function(t){if("object"!=typeof t||null===t)return"object expected";if(null!=t.node&&t.hasOwnProperty("node")){if(!Array.isArray(t.node))return"node: array expected";for(var e=0;e<t.node.length;++e)if(n=c.onnx.NodeProto.verify(t.node[e]))return"node."+n}if(null!=t.name&&t.hasOwnProperty("name")&&!l.isString(t.name))return"name: string expected";if(null!=t.initializer&&t.hasOwnProperty("initializer")){if(!Array.isArray(t.initializer))return"initializer: array expected";for(e=0;e<t.initializer.length;++e)if(n=c.onnx.TensorProto.verify(t.initializer[e]))return"initializer."+n}if(null!=t.docString&&t.hasOwnProperty("docString")&&!l.isString(t.docString))return"docString: string expected";if(null!=t.input&&t.hasOwnProperty("input")){if(!Array.isArray(t.input))return"input: array expected";for(e=0;e<t.input.length;++e)if(n=c.onnx.ValueInfoProto.verify(t.input[e]))return"input."+n}if(null!=t.output&&t.hasOwnProperty("output")){if(!Array.isArray(t.output))return"output: array expected";for(e=0;e<t.output.length;++e)if(n=c.onnx.ValueInfoProto.verify(t.output[e]))return"output."+n}if(null!=t.valueInfo&&t.hasOwnProperty("valueInfo")){if(!Array.isArray(t.valueInfo))return"valueInfo: array expected";for(e=0;e<t.valueInfo.length;++e)if(n=c.onnx.ValueInfoProto.verify(t.valueInfo[e]))return"valueInfo."+n}if(null!=t.quantizationAnnotation&&t.hasOwnProperty("quantizationAnnotation")){if(!Array.isArray(t.quantizationAnnotation))return"quantizationAnnotation: array expected";for(e=0;e<t.quantizationAnnotation.length;++e){var n;if(n=c.onnx.TensorAnnotation.verify(t.quantizationAnnotation[e]))return"quantizationAnnotation."+n}}return null},t.fromObject=function(t){if(t instanceof c.onnx.GraphProto)return t;var e=new c.onnx.GraphProto;if(t.node){if(!Array.isArray(t.node))throw TypeError(".onnx.GraphProto.node: array expected");e.node=[];for(var n=0;n<t.node.length;++n){if("object"!=typeof t.node[n])throw TypeError(".onnx.GraphProto.node: object expected");e.node[n]=c.onnx.NodeProto.fromObject(t.node[n])}}if(null!=t.name&&(e.name=String(t.name)),t.initializer){if(!Array.isArray(t.initializer))throw TypeError(".onnx.GraphProto.initializer: array expected");for(e.initializer=[],n=0;n<t.initializer.length;++n){if("object"!=typeof t.initializer[n])throw TypeError(".onnx.GraphProto.initializer: object expected");e.initializer[n]=c.onnx.TensorProto.fromObject(t.initializer[n])}}if(null!=t.docString&&(e.docString=String(t.docString)),t.input){if(!Array.isArray(t.input))throw TypeError(".onnx.GraphProto.input: array expected");for(e.input=[],n=0;n<t.input.length;++n){if("object"!=typeof t.input[n])throw TypeError(".onnx.GraphProto.input: object 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TypeError(".onnx.GraphProto.quantizationAnnotation: object expected");e.quantizationAnnotation[n]=c.onnx.TensorAnnotation.fromObject(t.quantizationAnnotation[n])}}return e},t.toObject=function(t,e){e||(e={});var n={};if((e.arrays||e.defaults)&&(n.node=[],n.initializer=[],n.input=[],n.output=[],n.valueInfo=[],n.quantizationAnnotation=[]),e.defaults&&(n.name="",n.docString=""),t.node&&t.node.length){n.node=[];for(var r=0;r<t.node.length;++r)n.node[r]=c.onnx.NodeProto.toObject(t.node[r],e)}if(null!=t.name&&t.hasOwnProperty("name")&&(n.name=t.name),t.initializer&&t.initializer.length)for(n.initializer=[],r=0;r<t.initializer.length;++r)n.initializer[r]=c.onnx.TensorProto.toObject(t.initializer[r],e);if(null!=t.docString&&t.hasOwnProperty("docString")&&(n.docString=t.docString),t.input&&t.input.length)for(n.input=[],r=0;r<t.input.length;++r)n.input[r]=c.onnx.ValueInfoProto.toObject(t.input[r],e);if(t.output&&t.output.length)for(n.output=[],r=0;r<t.output.length;++r)n.output[r]=c.onnx.ValueInfoProto.toObject(t.output[r],e);if(t.valueInfo&&t.valueInfo.length)for(n.valueInfo=[],r=0;r<t.valueInfo.length;++r)n.valueInfo[r]=c.onnx.ValueInfoProto.toObject(t.valueInfo[r],e);if(t.quantizationAnnotation&&t.quantizationAnnotation.length)for(n.quantizationAnnotation=[],r=0;r<t.quantizationAnnotation.length;++r)n.quantizationAnnotation[r]=c.onnx.TensorAnnotation.toObject(t.quantizationAnnotation[r],e);return n},t.prototype.toJSON=function(){return this.constructor.toObject(this,o.util.toJSONOptions)},t}(),s.TensorProto=function(){function t(t){if(this.dims=[],this.floatData=[],this.int32Data=[],this.stringData=[],this.int64Data=[],this.externalData=[],this.doubleData=[],this.uint64Data=[],t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.dims=l.emptyArray,t.prototype.dataType=0,t.prototype.segment=null,t.prototype.floatData=l.emptyArray,t.prototype.int32Data=l.emptyArray,t.prototype.stringData=l.emptyArray,t.prototype.int64Data=l.emptyArray,t.prototype.name="",t.prototype.docString="",t.prototype.rawData=l.newBuffer([]),t.prototype.externalData=l.emptyArray,t.prototype.dataLocation=0,t.prototype.doubleData=l.emptyArray,t.prototype.uint64Data=l.emptyArray,t.create=function(e){return new t(e)},t.encode=function(t,e){if(e||(e=u.create()),null!=t.dims&&t.dims.length){e.uint32(10).fork();for(var n=0;n<t.dims.length;++n)e.int64(t.dims[n]);e.ldelim()}if(null!=t.dataType&&t.hasOwnProperty("dataType")&&e.uint32(16).int32(t.dataType),null!=t.segment&&t.hasOwnProperty("segment")&&c.onnx.TensorProto.Segment.encode(t.segment,e.uint32(26).fork()).ldelim(),null!=t.floatData&&t.floatData.length){for(e.uint32(34).fork(),n=0;n<t.floatData.length;++n)e.float(t.floatData[n]);e.ldelim()}if(null!=t.int32Data&&t.int32Data.length){for(e.uint32(42).fork(),n=0;n<t.int32Data.length;++n)e.int32(t.int32Data[n]);e.ldelim()}if(null!=t.stringData&&t.stringData.length)for(n=0;n<t.stringData.length;++n)e.uint32(50).bytes(t.stringData[n]);if(null!=t.int64Data&&t.int64Data.length){for(e.uint32(58).fork(),n=0;n<t.int64Data.length;++n)e.int64(t.int64Data[n]);e.ldelim()}if(null!=t.name&&t.hasOwnProperty("name")&&e.uint32(66).string(t.name),null!=t.rawData&&t.hasOwnProperty("rawData")&&e.uint32(74).bytes(t.rawData),null!=t.doubleData&&t.doubleData.length){for(e.uint32(82).fork(),n=0;n<t.doubleData.length;++n)e.double(t.doubleData[n]);e.ldelim()}if(null!=t.uint64Data&&t.uint64Data.length){for(e.uint32(90).fork(),n=0;n<t.uint64Data.length;++n)e.uint64(t.uint64Data[n]);e.ldelim()}if(null!=t.docString&&t.hasOwnProperty("docString")&&e.uint32(98).string(t.docString),null!=t.externalData&&t.externalData.length)for(n=0;n<t.externalData.length;++n)c.onnx.StringStringEntryProto.encode(t.externalData[n],e.uint32(106).fork()).ldelim();return null!=t.dataLocation&&t.hasOwnProperty("dataLocation")&&e.uint32(112).int32(t.dataLocation),e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof a||(t=a.create(t));for(var n=void 0===e?t.len:t.pos+e,r=new c.onnx.TensorProto;t.pos<n;){var i=t.uint32();switch(i>>>3){case 1:if(r.dims&&r.dims.length||(r.dims=[]),2==(7&i))for(var s=t.uint32()+t.pos;t.pos<s;)r.dims.push(t.int64());else r.dims.push(t.int64());break;case 2:r.dataType=t.int32();break;case 3:r.segment=c.onnx.TensorProto.Segment.decode(t,t.uint32());break;case 4:if(r.floatData&&r.floatData.length||(r.floatData=[]),2==(7&i))for(s=t.uint32()+t.pos;t.pos<s;)r.floatData.push(t.float());else r.floatData.push(t.float());break;case 5:if(r.int32Data&&r.int32Data.length||(r.int32Data=[]),2==(7&i))for(s=t.uint32()+t.pos;t.pos<s;)r.int32Data.push(t.int32());else r.int32Data.push(t.int32());break;case 6:r.stringData&&r.stringData.length||(r.stringData=[]),r.stringData.push(t.bytes());break;case 7:if(r.int64Data&&r.int64Data.length||(r.int64Data=[]),2==(7&i))for(s=t.uint32()+t.pos;t.pos<s;)r.int64Data.push(t.int64());else r.int64Data.push(t.int64());break;case 8:r.name=t.string();break;case 12:r.docString=t.string();break;case 9:r.rawData=t.bytes();break;case 13:r.externalData&&r.externalData.length||(r.externalData=[]),r.externalData.push(c.onnx.StringStringEntryProto.decode(t,t.uint32()));break;case 14:r.dataLocation=t.int32();break;case 10:if(r.doubleData&&r.doubleData.length||(r.doubleData=[]),2==(7&i))for(s=t.uint32()+t.pos;t.pos<s;)r.doubleData.push(t.double());else r.doubleData.push(t.double());break;case 11:if(r.uint64Data&&r.uint64Data.length||(r.uint64Data=[]),2==(7&i))for(s=t.uint32()+t.pos;t.pos<s;)r.uint64Data.push(t.uint64());else r.uint64Data.push(t.uint64());break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof a||(t=new a(t)),this.decode(t,t.uint32())},t.verify=function(t){if("object"!=typeof t||null===t)return"object expected";if(null!=t.dims&&t.hasOwnProperty("dims")){if(!Array.isArray(t.dims))return"dims: array expected";for(var e=0;e<t.dims.length;++e)if(!(l.isInteger(t.dims[e])||t.dims[e]&&l.isInteger(t.dims[e].low)&&l.isInteger(t.dims[e].high)))return"dims: integer|Long[] expected"}if(null!=t.dataType&&t.hasOwnProperty("dataType")&&!l.isInteger(t.dataType))return"dataType: integer expected";if(null!=t.segment&&t.hasOwnProperty("segment")&&(n=c.onnx.TensorProto.Segment.verify(t.segment)))return"segment."+n;if(null!=t.floatData&&t.hasOwnProperty("floatData")){if(!Array.isArray(t.floatData))return"floatData: array expected";for(e=0;e<t.floatData.length;++e)if("number"!=typeof t.floatData[e])return"floatData: number[] expected"}if(null!=t.int32Data&&t.hasOwnProperty("int32Data")){if(!Array.isArray(t.int32Data))return"int32Data: array expected";for(e=0;e<t.int32Data.length;++e)if(!l.isInteger(t.int32Data[e]))return"int32Data: integer[] expected"}if(null!=t.stringData&&t.hasOwnProperty("stringData")){if(!Array.isArray(t.stringData))return"stringData: array expected";for(e=0;e<t.stringData.length;++e)if(!(t.stringData[e]&&"number"==typeof t.stringData[e].length||l.isString(t.stringData[e])))return"stringData: buffer[] expected"}if(null!=t.int64Data&&t.hasOwnProperty("int64Data")){if(!Array.isArray(t.int64Data))return"int64Data: array expected";for(e=0;e<t.int64Data.length;++e)if(!(l.isInteger(t.int64Data[e])||t.int64Data[e]&&l.isInteger(t.int64Data[e].low)&&l.isInteger(t.int64Data[e].high)))return"int64Data: integer|Long[] expected"}if(null!=t.name&&t.hasOwnProperty("name")&&!l.isString(t.name))return"name: string expected";if(null!=t.docString&&t.hasOwnProperty("docString")&&!l.isString(t.docString))return"docString: string expected";if(null!=t.rawData&&t.hasOwnProperty("rawData")&&!(t.rawData&&"number"==typeof t.rawData.length||l.isString(t.rawData)))return"rawData: buffer expected";if(null!=t.externalData&&t.hasOwnProperty("externalData")){if(!Array.isArray(t.externalData))return"externalData: array expected";for(e=0;e<t.externalData.length;++e){var n;if(n=c.onnx.StringStringEntryProto.verify(t.externalData[e]))return"externalData."+n}}if(null!=t.dataLocation&&t.hasOwnProperty("dataLocation"))switch(t.dataLocation){default:return"dataLocation: enum value expected";case 0:case 1:}if(null!=t.doubleData&&t.hasOwnProperty("doubleData")){if(!Array.isArray(t.doubleData))return"doubleData: array expected";for(e=0;e<t.doubleData.length;++e)if("number"!=typeof t.doubleData[e])return"doubleData: number[] expected"}if(null!=t.uint64Data&&t.hasOwnProperty("uint64Data")){if(!Array.isArray(t.uint64Data))return"uint64Data: array expected";for(e=0;e<t.uint64Data.length;++e)if(!(l.isInteger(t.uint64Data[e])||t.uint64Data[e]&&l.isInteger(t.uint64Data[e].low)&&l.isInteger(t.uint64Data[e].high)))return"uint64Data: integer|Long[] expected"}return null},t.fromObject=function(t){if(t instanceof c.onnx.TensorProto)return t;var e=new c.onnx.TensorProto;if(t.dims){if(!Array.isArray(t.dims))throw TypeError(".onnx.TensorProto.dims: array expected");e.dims=[];for(var n=0;n<t.dims.length;++n)l.Long?(e.dims[n]=l.Long.fromValue(t.dims[n])).unsigned=!1:"string"==typeof t.dims[n]?e.dims[n]=parseInt(t.dims[n],10):"number"==typeof t.dims[n]?e.dims[n]=t.dims[n]:"object"==typeof t.dims[n]&&(e.dims[n]=new l.LongBits(t.dims[n].low>>>0,t.dims[n].high>>>0).toNumber())}if(null!=t.dataType&&(e.dataType=0|t.dataType),null!=t.segment){if("object"!=typeof t.segment)throw TypeError(".onnx.TensorProto.segment: object expected");e.segment=c.onnx.TensorProto.Segment.fromObject(t.segment)}if(t.floatData){if(!Array.isArray(t.floatData))throw TypeError(".onnx.TensorProto.floatData: array expected");for(e.floatData=[],n=0;n<t.floatData.length;++n)e.floatData[n]=Number(t.floatData[n])}if(t.int32Data){if(!Array.isArray(t.int32Data))throw TypeError(".onnx.TensorProto.int32Data: array expected");for(e.int32Data=[],n=0;n<t.int32Data.length;++n)e.int32Data[n]=0|t.int32Data[n]}if(t.stringData){if(!Array.isArray(t.stringData))throw TypeError(".onnx.TensorProto.stringData: array expected");for(e.stringData=[],n=0;n<t.stringData.length;++n)"string"==typeof t.stringData[n]?l.base64.decode(t.stringData[n],e.stringData[n]=l.newBuffer(l.base64.length(t.stringData[n])),0):t.stringData[n].length&&(e.stringData[n]=t.stringData[n])}if(t.int64Data){if(!Array.isArray(t.int64Data))throw TypeError(".onnx.TensorProto.int64Data: array expected");for(e.int64Data=[],n=0;n<t.int64Data.length;++n)l.Long?(e.int64Data[n]=l.Long.fromValue(t.int64Data[n])).unsigned=!1:"string"==typeof t.int64Data[n]?e.int64Data[n]=parseInt(t.int64Data[n],10):"number"==typeof t.int64Data[n]?e.int64Data[n]=t.int64Data[n]:"object"==typeof t.int64Data[n]&&(e.int64Data[n]=new l.LongBits(t.int64Data[n].low>>>0,t.int64Data[n].high>>>0).toNumber())}if(null!=t.name&&(e.name=String(t.name)),null!=t.docString&&(e.docString=String(t.docString)),null!=t.rawData&&("string"==typeof t.rawData?l.base64.decode(t.rawData,e.rawData=l.newBuffer(l.base64.length(t.rawData)),0):t.rawData.length&&(e.rawData=t.rawData)),t.externalData){if(!Array.isArray(t.externalData))throw TypeError(".onnx.TensorProto.externalData: array expected");for(e.externalData=[],n=0;n<t.externalData.length;++n){if("object"!=typeof t.externalData[n])throw TypeError(".onnx.TensorProto.externalData: object expected");e.externalData[n]=c.onnx.StringStringEntryProto.fromObject(t.externalData[n])}}switch(t.dataLocation){case"DEFAULT":case 0:e.dataLocation=0;break;case"EXTERNAL":case 1:e.dataLocation=1}if(t.doubleData){if(!Array.isArray(t.doubleData))throw TypeError(".onnx.TensorProto.doubleData: array expected");for(e.doubleData=[],n=0;n<t.doubleData.length;++n)e.doubleData[n]=Number(t.doubleData[n])}if(t.uint64Data){if(!Array.isArray(t.uint64Data))throw TypeError(".onnx.TensorProto.uint64Data: array expected");for(e.uint64Data=[],n=0;n<t.uint64Data.length;++n)l.Long?(e.uint64Data[n]=l.Long.fromValue(t.uint64Data[n])).unsigned=!0:"string"==typeof t.uint64Data[n]?e.uint64Data[n]=parseInt(t.uint64Data[n],10):"number"==typeof t.uint64Data[n]?e.uint64Data[n]=t.uint64Data[n]:"object"==typeof t.uint64Data[n]&&(e.uint64Data[n]=new l.LongBits(t.uint64Data[n].low>>>0,t.uint64Data[n].high>>>0).toNumber(!0))}return e},t.toObject=function(t,e){e||(e={});var n={};if((e.arrays||e.defaults)&&(n.dims=[],n.floatData=[],n.int32Data=[],n.stringData=[],n.int64Data=[],n.doubleData=[],n.uint64Data=[],n.externalData=[]),e.defaults&&(n.dataType=0,n.segment=null,n.name="",e.bytes===String?n.rawData="":(n.rawData=[],e.bytes!==Array&&(n.rawData=l.newBuffer(n.rawData))),n.docString="",n.dataLocation=e.enums===String?"DEFAULT":0),t.dims&&t.dims.length){n.dims=[];for(var r=0;r<t.dims.length;++r)"number"==typeof t.dims[r]?n.dims[r]=e.longs===String?String(t.dims[r]):t.dims[r]:n.dims[r]=e.longs===String?l.Long.prototype.toString.call(t.dims[r]):e.longs===Number?new l.LongBits(t.dims[r].low>>>0,t.dims[r].high>>>0).toNumber():t.dims[r]}if(null!=t.dataType&&t.hasOwnProperty("dataType")&&(n.dataType=t.dataType),null!=t.segment&&t.hasOwnProperty("segment")&&(n.segment=c.onnx.TensorProto.Segment.toObject(t.segment,e)),t.floatData&&t.floatData.length)for(n.floatData=[],r=0;r<t.floatData.length;++r)n.floatData[r]=e.json&&!isFinite(t.floatData[r])?String(t.floatData[r]):t.floatData[r];if(t.int32Data&&t.int32Data.length)for(n.int32Data=[],r=0;r<t.int32Data.length;++r)n.int32Data[r]=t.int32Data[r];if(t.stringData&&t.stringData.length)for(n.stringData=[],r=0;r<t.stringData.length;++r)n.stringData[r]=e.bytes===String?l.base64.encode(t.stringData[r],0,t.stringData[r].length):e.bytes===Array?Array.prototype.slice.call(t.stringData[r]):t.stringData[r];if(t.int64Data&&t.int64Data.length)for(n.int64Data=[],r=0;r<t.int64Data.length;++r)"number"==typeof 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r.onnx.AttributeProto?t.type:t.type();switch(e){case r.onnx.AttributeProto.AttributeType.FLOAT:return"float";case r.onnx.AttributeProto.AttributeType.INT:return"int";case r.onnx.AttributeProto.AttributeType.STRING:return"string";case r.onnx.AttributeProto.AttributeType.TENSOR:return"tensor";case r.onnx.AttributeProto.AttributeType.FLOATS:return"floats";case r.onnx.AttributeProto.AttributeType.INTS:return"ints";case r.onnx.AttributeProto.AttributeType.STRINGS:return"strings";case r.onnx.AttributeProto.AttributeType.TENSORS:return"tensors";default:throw new Error(`attribute type is not supported yet: ${r.onnx.AttributeProto.AttributeType[e]}`)}}static getValue(t){const e=t instanceof r.onnx.AttributeProto?t.type:t.type();if(e===r.onnx.AttributeProto.AttributeType.GRAPH||e===r.onnx.AttributeProto.AttributeType.GRAPHS)throw new Error("graph attribute is not supported yet");const n=this.getValueNoCheck(t);if(e===r.onnx.AttributeProto.AttributeType.INT&&o.LongUtil.isLong(n))return o.LongUtil.longToNumber(n);if(e===r.onnx.AttributeProto.AttributeType.INTS){const t=n,e=new Array(t.length);for(let n=0;n<t.length;n++){const r=t[n];e[n]=o.LongUtil.longToNumber(r)}return e}if(e===r.onnx.AttributeProto.AttributeType.TENSOR)return t instanceof r.onnx.AttributeProto?s.Tensor.fromProto(n):s.Tensor.fromOrtTensor(n);if(e===r.onnx.AttributeProto.AttributeType.TENSORS){if(t instanceof r.onnx.AttributeProto)return n.map((t=>s.Tensor.fromProto(t)));if(t instanceof a.Attribute)return n.map((t=>s.Tensor.fromOrtTensor(t)))}if(e===r.onnx.AttributeProto.AttributeType.STRING&&t instanceof r.onnx.AttributeProto){const t=n;return(0,o.decodeUtf8String)(t)}return e===r.onnx.AttributeProto.AttributeType.STRINGS&&t instanceof r.onnx.AttributeProto?n.map(o.decodeUtf8String):n}static getValueNoCheck(t){return t instanceof r.onnx.AttributeProto?this.getValueNoCheckFromOnnxFormat(t):this.getValueNoCheckFromOrtFormat(t)}static getValueNoCheckFromOnnxFormat(t){switch(t.type){case r.onnx.AttributeProto.AttributeType.FLOAT:return t.f;case r.onnx.AttributeProto.AttributeType.INT:return t.i;case r.onnx.AttributeProto.AttributeType.STRING:return t.s;case r.onnx.AttributeProto.AttributeType.TENSOR:return t.t;case r.onnx.AttributeProto.AttributeType.GRAPH:return t.g;case r.onnx.AttributeProto.AttributeType.FLOATS:return t.floats;case r.onnx.AttributeProto.AttributeType.INTS:return t.ints;case r.onnx.AttributeProto.AttributeType.STRINGS:return t.strings;case r.onnx.AttributeProto.AttributeType.TENSORS:return t.tensors;case r.onnx.AttributeProto.AttributeType.GRAPHS:return t.graphs;default:throw new Error(`unsupported attribute type: ${r.onnx.AttributeProto.AttributeType[t.type]}`)}}static getValueNoCheckFromOrtFormat(t){switch(t.type()){case a.AttributeType.FLOAT:return t.f();case a.AttributeType.INT:return t.i();case a.AttributeType.STRING:return t.s();case a.AttributeType.TENSOR:return t.t();case a.AttributeType.GRAPH:return t.g();case a.AttributeType.FLOATS:return t.floatsArray();case a.AttributeType.INTS:{const e=[];for(let n=0;n<t.intsLength();n++)e.push(t.ints(n));return e}case a.AttributeType.STRINGS:{const e=[];for(let n=0;n<t.stringsLength();n++)e.push(t.strings(n));return e}case a.AttributeType.TENSORS:{const e=[];for(let n=0;n<t.tensorsLength();n++)e.push(t.tensors(n));return e}default:throw new Error(`unsupported attribute type: ${a.AttributeType[t.type()]}`)}}}e.Attribute=u},7091:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.resolveBackend=e.backend=void 0;const r=n(5038),i=new Map;async function s(t){const n=e.backend;if(void 0!==n[t]&&function(t){const e=t;return"initialize"in e&&"function"==typeof e.initialize&&"createSessionHandler"in e&&"function"==typeof e.createSessionHandler&&"dispose"in e&&"function"==typeof e.dispose}(n[t])){const e=n[t];let r=e.initialize();if("object"==typeof r&&"then"in r&&(r=await r),r)return i.set(t,e),e}}e.backend={webgl:new r.WebGLBackend},e.resolveBackend=async function t(e){if(!e)return t(["webgl"]);{const t="string"==typeof e?[e]:e;for(const e of t){const t=i.get(e);if(t)return t;const n=await s(e);if(n)return n}}throw new Error("no available backend to use")}},5038:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.WebGLBackend=void 0;const r=n(1670),i=n(6231),s=n(6416),o=n(7305);e.WebGLBackend=class{get contextId(){return r.env.webgl.contextId}set contextId(t){r.env.webgl.contextId=t}get matmulMaxBatchSize(){return r.env.webgl.matmulMaxBatchSize}set matmulMaxBatchSize(t){r.env.webgl.matmulMaxBatchSize=t}get textureCacheMode(){return r.env.webgl.textureCacheMode}set textureCacheMode(t){r.env.webgl.textureCacheMode=t}get pack(){return r.env.webgl.pack}set pack(t){r.env.webgl.pack=t}get async(){return r.env.webgl.async}set async(t){r.env.webgl.async=t}initialize(){try{return this.glContext=(0,o.createWebGLContext)(this.contextId),"number"!=typeof this.matmulMaxBatchSize&&(this.matmulMaxBatchSize=16),"string"!=typeof this.textureCacheMode&&(this.textureCacheMode="full"),"boolean"!=typeof this.pack&&(this.pack=!1),"boolean"!=typeof this.async&&(this.async=!1),i.Logger.setWithEnv(r.env),i.Logger.verbose("WebGLBackend",`Created WebGLContext: ${typeof this.glContext} with matmulMaxBatchSize: ${this.matmulMaxBatchSize}; textureCacheMode: ${this.textureCacheMode}; pack: ${this.pack}; async: ${this.async}.`),!0}catch(t){return i.Logger.warning("WebGLBackend",`Unable to initialize WebGLBackend. ${t}`),!1}}createSessionHandler(t){return new s.WebGLSessionHandler(this,t)}dispose(){this.glContext.dispose()}}},5107:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.CoordsGlslLib=void 0;const r=n(2517),i=n(8520),s=n(5060),o=n(7859),a=n(9390);class u extends i.GlslLib{constructor(t){super(t)}getFunctions(){return Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({},this.offsetToCoords()),this.coordsToOffset()),this.toVec()),this.valueFrom()),this.getCommonUtilFuncs()),this.getInputsSamplingSnippets()),this.getOutputSamplingSnippet())}getCustomTypes(){return{}}offsetToCoords(){return{offsetToCoords:new i.GlslLibRoutine("\n      vec2 offsetToCoords(int offset, int width, int height) {\n        int t = offset / width;\n        int s = offset - t*width;\n        vec2 coords = (vec2(s,t) + vec2(0.5,0.5)) / vec2(width, height);\n        return coords;\n      }\n      ")}}coordsToOffset(){return{coordsToOffset:new i.GlslLibRoutine("\n      int coordsToOffset(vec2 coords, int width, int height) {\n        float s = coords.s * float(width);\n        float t = coords.t * float(height);\n        int offset = int(t) * width + int(s);\n        return offset;\n      }\n      ")}}getOutputSamplingSnippet(){const t=this.context.outputTextureLayout;return t.isPacked?this.getPackedOutputSamplingSnippet(t):this.getUnpackedOutputSamplingSnippet(t)}getPackedOutputSamplingSnippet(t){const e=t.unpackedShape,n=[t.width,t.height],r={},o="getOutputCoords";switch(e.length){case 0:r[o]=this.getOutputScalarCoords();break;case 1:r[o]=this.getOutputPacked1DCoords(e,n);break;case 2:r[o]=this.getOutputPacked2DCoords(e,n);break;case 3:r[o]=this.getOutputPacked3DCoords(e,n);break;default:r[o]=this.getOutputPackedNDCoords(e,n)}const a=`\n      void setOutput(vec4 val) {\n        ${(0,s.getGlsl)(this.context.glContext.version).output} = val;\n      }\n    `;return r.floatTextureSetRGBA=new i.GlslLibRoutine(a),r}getUnpackedOutputSamplingSnippet(t){const e=t.unpackedShape,n=[t.width,t.height],r={},o="getOutputCoords";switch(e.length){case 0:r[o]=this.getOutputScalarCoords();break;case 1:r[o]=this.getOutputUnpacked1DCoords(e,n);break;case 2:r[o]=this.getOutputUnpacked2DCoords(e,n);break;case 3:r[o]=this.getOutputUnpacked3DCoords(e,n);break;case 4:r[o]=this.getOutputUnpacked4DCoords(e,n);break;case 5:r[o]=this.getOutputUnpacked5DCoords(e,n);break;case 6:r[o]=this.getOutputUnpacked6DCoords(e,n);break;default:throw new Error(`Unsupported output dimensionality: ${e.length}`)}const a=`\n        void setOutput(float val) {\n          ${(0,s.getGlsl)(this.context.glContext.version).output} = vec4(val, 0, 0, 0);\n        }\n    `;return r.floatTextureSetR=new i.GlslLibRoutine(a),r}getOutputScalarCoords(){return new i.GlslLibRoutine("\n      int getOutputCoords() {\n        return 0;\n      }\n    ")}getOutputPacked1DCoords(t,e){const n=e;let r="";return 1===n[0]?(r=`\n          int getOutputCoords() {\n            return 2 * int(TexCoords.y * ${n[1]}.0);\n          }\n        `,new i.GlslLibRoutine(r)):1===n[1]?(r=`\n          int getOutputCoords() {\n            return 2 * int(TexCoords.x * ${n[0]}.0);\n          }\n        `,new i.GlslLibRoutine(r)):(r=`\n        int getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                 vec2(${n[0]}, ${n[1]}));\n          return 2 * (resTexRC.y * ${n[0]} + resTexRC.x);\n        }\n      `,new i.GlslLibRoutine(r))}getOutputPacked2DCoords(t,e){let n="";if(r.ArrayUtil.arraysEqual(t,e))return n=`\n        ivec2 getOutputCoords() {\n          return 2 * ivec2(TexCoords.xy * vec2(${e[0]}, ${e[1]}));\n        }\n      `,new i.GlslLibRoutine(n);const s=e,o=Math.ceil(t[1]/2);return n=`\n        ivec2 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${s[0]}, ${s[1]}));\n\n          int index = resTexRC.y * ${s[0]} + resTexRC.x;\n\n          // reverse r and c order for packed texture\n          int r = imod(index, ${o}) * 2;\n          int c = 2 * (index / ${o});\n\n          return ivec2(r, c);\n        }\n      `,new i.GlslLibRoutine(n)}getOutputPacked3DCoords(t,e){const n=[e[0],e[1]],r=Math.ceil(t[2]/2),s=r*Math.ceil(t[1]/2),o=`\n        ivec3 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${n[0]}, ${n[1]}));\n          int index = resTexRC.y * ${n[0]} + resTexRC.x;\n\n          int b = index / ${s};\n          index -= b * ${s};\n\n          // reverse r and c order for packed texture\n          int r = imod(index, ${r}) * 2;\n          int c = 2 * (index / ${r});\n\n          return ivec3(b, r, c);\n        }\n      `;return new i.GlslLibRoutine(o)}getOutputPackedNDCoords(t,e){const n=[e[0],e[1]],r=Math.ceil(t[t.length-1]/2),s=r*Math.ceil(t[t.length-2]/2);let o=s,a="",u="b, r, c";for(let e=2;e<t.length-1;e++)o*=t[t.length-e-1],a=`\n      int b${e} = index / ${o};\n      index -= b${e} * ${o};\n    `+a,u=`b${e}, `+u;const l=`\n      ivec${t.length} getOutputCoords() {\n        ivec2 resTexRC = ivec2(TexCoords.xy *\n                              vec2(${n[0]}, ${n[1]}));\n        int index = resTexRC.y * ${n[0]} + resTexRC.x;\n\n        ${a}\n\n        int b = index / ${s};\n        index -= b * ${s};\n\n        // reverse r and c order for packed texture\n        int r = imod(index, ${r}) * 2;\n        int c = 2 * (index / ${r});\n\n        return ivec${t.length}(${u});\n      }\n    `;return new i.GlslLibRoutine(l)}getOutputUnpacked1DCoords(t,e){const n=`\n        int getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${e[0]}, ${e[1]}));\n          return resTexRC.y * ${e[0]} + resTexRC.x;\n        }\n      `;return new i.GlslLibRoutine(n)}getOutputUnpacked2DCoords(t,e){const n=`\n        ivec2 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${e[0]}, ${e[1]}));\n          int index = resTexRC.y * ${e[0]} + resTexRC.x;\n          int r = index / ${t[1]};\n          int c = index - r * ${t[1]};\n          return ivec2(r, c);\n        }\n      `;return new i.GlslLibRoutine(n)}getOutputUnpacked3DCoords(t,e){let n="";const r=t.length;let s=null;r<2&&(s=[]),s=new Array(r-1),s[r-2]=t[r-1];for(let e=r-3;e>=0;--e)s[e]=s[e+1]*t[e+1];const o=["r","c","d"],a=s.map(((t,e)=>`int ${o[e]} = index / ${t}; ${e===s.length-1?`int ${o[e+1]} = index - ${o[e]} * ${t}`:`index -= ${o[e]} * ${t}`};`)).join("");return n=`\n        ivec3 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${e[0]}, ${e[1]}));\n          int index = resTexRC.y * ${e[0]} + resTexRC.x;\n          ${a}\n          return ivec3(r, c, d);\n        }\n      `,new i.GlslLibRoutine(n)}getOutputUnpacked4DCoords(t,e){let n="";const r=t.length;let s=null;r<2&&(s=[]),s=new Array(r-1),s[r-2]=t[r-1];for(let e=r-3;e>=0;--e)s[e]=s[e+1]*t[e+1];const o=["r","c","d","d2"],a=s.map(((t,e)=>`int ${o[e]} = index / ${t}; ${e===s.length-1?`int ${o[e+1]} = index - ${o[e]} * ${t}`:`index -= ${o[e]} * ${t}`};`)).join("");return n=`\n      ivec4 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${e[0]}, ${e[1]}));\n          int index = resTexRC.y * ${e[0]} + resTexRC.x;\n          ${a}\n          return ivec4(r, c, d, d2);\n        }\n      `,new i.GlslLibRoutine(n)}getOutputUnpacked5DCoords(t,e){let n="";const r=t.length;let s=null;r<2&&(s=[]),s=new Array(r-1),s[r-2]=t[r-1];for(let e=r-3;e>=0;--e)s[e]=s[e+1]*t[e+1];const o=["r","c","d","d2","d3"],a=s.map(((t,e)=>`int ${o[e]} = index / ${t}; ${e===s.length-1?`int ${o[e+1]} = index - ${o[e]} * ${t}`:`index -= ${o[e]} * ${t}`};`)).join("");return n=`\n      ivec5 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${e[0]}, ${e[1]}));\n          int index = resTexRC.y * ${e[0]} + resTexRC.x;\n          ${a}\n          return ivec5(r, c, d, d2, d3);\n        }\n      `,new i.GlslLibRoutine(n)}getOutputUnpacked6DCoords(t,e){let n="";const r=t.length;let s=null;r<2&&(s=[]),s=new Array(r-1),s[r-2]=t[r-1];for(let e=r-3;e>=0;--e)s[e]=s[e+1]*t[e+1];const o=["r","c","d","d2","d3","d4"],a=s.map(((t,e)=>`int ${o[e]} = index / ${t}; ${e===s.length-1?`int ${o[e+1]} = index - ${o[e]} * ${t}`:`index -= ${o[e]} * ${t}`};`)).join("");return n=`\n     ivec6 getOutputCoords() {\n         ivec2 resTexRC = ivec2(TexCoords.xy *\n                               vec2(${e[0]}, ${e[1]}));\n         int index = resTexRC.y * ${e[0]} + resTexRC.x;\n         ${a}\n         return ivec6(r, c, d, d2, d3, d4);\n       }\n     `,new i.GlslLibRoutine(n)}getCommonUtilFuncs(){const t={};let e="uvFromFlat";t[e]=new i.GlslLibRoutine("\n    vec2 uvFromFlat(int texNumR, int texNumC, int index) {\n      int texC = index / texNumR;\n      int texR = index - texC * texNumR;\n      // TODO: swap texR, texC order in following function so row is corresponding to u and column is corresponding to\n      //       v.\n      return (vec2(texR, texC) + halfCR) / vec2(texNumR, texNumC);\n    }\n    "),e="packedUVfrom1D",t[e]=new i.GlslLibRoutine("\n      vec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n        int texelIndex = index / 2;\n        int texR = texelIndex / texNumC;\n        int texC = texelIndex - texR * texNumC;\n        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n      }\n      "),e="packedUVfrom2D",t[e]=new i.GlslLibRoutine("\n      vec2 packedUVfrom2D(int texNumR, int texNumC, int texelsInLogicalRow, int row, int col) {\n        int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n        int texR = texelIndex / texNumC;\n        int texC = texelIndex - texR * texNumC;\n        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n      }\n      "),e="packedUVfrom3D",t[e]=new i.GlslLibRoutine("\n      vec2 packedUVfrom3D(int texNumR, int texNumC,\n          int texelsInBatch, int texelsInLogicalRow, int b,\n          int row, int col) {\n        int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n        int texR = index / texNumC;\n        int texC = index - texR * texNumC;\n        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n      }\n      "),e="sampleTexture";const n=(0,s.getGlsl)(this.context.glContext.version);return t[e]=new i.GlslLibRoutine(`\n        float sampleTexture(sampler2D textureSampler, vec2 uv) {\n            return ${n.texture2D}(textureSampler, uv).r;\n        }`),t}getInputsSamplingSnippets(){const t={},e=this.context.outputTextureLayout;return this.context.programInfo.inputNames.forEach(((n,r)=>{const i=this.context.inputTextureLayouts[r],s=(0,a.generateShaderFuncNameFromInputSamplerName)(n);i.isPacked?t[s]=this.getPackedSamplerFromInput(s,n,i):t[s]=this.getUnpackedSamplerFromInput(s,n,i);const o=(0,a.generateShaderFuncNameFromInputSamplerNameAtOutCoords)(n);i.unpackedShape.length<=e.unpackedShape.length&&(i.isPacked?t[o]=this.getPackedSamplerAtOutputCoords(o,i,e,n):t[o]=this.getUnpackedSamplerAtOutputCoords(o,i,e,n))})),t}getPackedSamplerAtOutputCoords(t,e,n,s){const o=e.unpackedShape,u=n.unpackedShape,l=s,c=(0,a.generateShaderFuncNameFromInputSamplerName)(l),d=o.length,h=u.length,p=r.BroadcastUtil.getBroadcastDims(o,u),f=(0,a.getCoordsDataType)(h),g=h-d;let m;const _=(0,a.getGlChannels)();m=0===d?"":h<2&&p.length>=1?"coords = 0;":p.map((t=>`coords.${_[t+g]} = 0;`)).join("\n");let b="";b=h<2&&d>0?"coords":o.map(((t,e)=>`coords.${_[e+g]}`)).join(", ");let y="return outputValue;";const w=1===r.ShapeUtil.size(o),v=1===r.ShapeUtil.size(u);if(1!==d||w||v){if(w&&!v)y=1===h?"\n          return vec4(outputValue.x, outputValue.x, 0., 0.);\n        ":"\n          return vec4(outputValue.x);\n        ";else if(p.length){const t=d-2,e=d-1;p.indexOf(t)>-1&&p.indexOf(e)>-1?y="return vec4(outputValue.x);":p.indexOf(t)>-1?y="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":p.indexOf(e)>-1&&(y="return vec4(outputValue.xx, outputValue.zz);")}}else y="\n        return vec4(outputValue.xy, outputValue.xy);\n      ";const x=`\n      vec4 ${t}() {\n        ${f} coords = getOutputCoords();\n        \n        int lastDim = coords.${_[h-1]};\n        coords.${_[h-1]} = coords.${_[h-2]};\n        coords.${_[h-2]} = lastDim;\n      \n        ${m}\n        vec4 outputValue = ${c}(${b});\n        ${y}\n      }\n    `;return new i.GlslLibRoutine(x,["coordinates.getOutputCoords"])}getUnpackedSamplerAtOutputCoords(t,e,n,s){const o=[n.width,n.height],u=[e.width,e.height],l=e.unpackedShape.length,c=n.unpackedShape.length,d=e.unpackedShape,h=n.unpackedShape,p=(0,a.generateShaderFuncNameFromInputSamplerName)(s);if(l===c&&r.ArrayUtil.arraysEqual(u,o)){const e=`\n          float ${t}() {\n            return sampleTexture(${s}, TexCoords);\n          }\n        `;return new i.GlslLibRoutine(e,["coordinates.sampleTexture"])}const f=(0,a.getCoordsDataType)(c),g=r.BroadcastUtil.getBroadcastDims(d,h),m=c-l;let _;const b=(0,a.getGlChannels)();_=0===l?"":c<2&&g.length>=1?"coords = 0;":g.map((t=>`coords.${b[t+m]} = 0;`)).join("\n");let y="";y=c<2&&l>0?"coords":e.unpackedShape.map(((t,e)=>`coords.${b[e+m]}`)).join(", ");const w=`\n        float ${t}() {\n          ${f} coords = getOutputCoords();\n          ${_}\n          return ${p}(${y});\n        }\n      `;return new i.GlslLibRoutine(w,["coordinates.getOutputCoords"])}getPackedSamplerFromInput(t,e,n){switch(n.unpackedShape.length){case 0:return this.getPackedSamplerScalar(t,e);case 1:return this.getPackedSampler1D(t,e,n);case 2:return this.getPackedSampler2D(t,e,n);case 3:return this.getPackedSampler3D(t,e,n);default:return this.getPackedSamplerND(t,e,n)}}getUnpackedSamplerFromInput(t,e,n){const r=n.unpackedShape;switch(r.length){case 0:return this.getUnpackedSamplerScalar(t,e,n);case 1:return this.getUnpackedSampler1D(t,e,n);case 2:return this.getUnpackedSampler2D(t,e,n);case 3:return this.getUnpackedSampler3D(t,e,n);case 4:return this.getUnpackedSampler4D(t,e,n);case 5:return this.getUnpackedSampler5D(t,e,n);case 6:return this.getUnpackedSampler6D(t,e,n);default:throw new Error(`Unsupported dimension ${r.length}-D`)}}getPackedSamplerScalar(t,e){const n=`\n          vec4 ${t}() {\n            return ${(0,s.getGlsl)(this.context.glContext.version).texture2D}(${e}, halfCR);\n          }\n        `;return new i.GlslLibRoutine(n)}getPackedSampler1D(t,e,n){const r=[n.width,n.height],o=[r[1],r[0]],a=(0,s.getGlsl)(this.context.glContext.version),u=`vec4 ${t}(int index) {\n      vec2 uv = packedUVfrom1D(\n      ${o[0]}, ${o[1]}, index);\n      return ${a.texture2D}(${e}, uv);\n    }`;return new i.GlslLibRoutine(u,["coordinates.packedUVfrom1D"])}getPackedSampler2D(t,e,n){const o=n.unpackedShape,a=[n.width,n.height],u=(0,s.getGlsl)(this.context.glContext.version),l=a[0],c=a[1];if(null!=a&&r.ArrayUtil.arraysEqual(o,a)){const n=`vec4 ${t}(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2(${c}.0, ${l}.0);\n        return ${u.texture2D}(${e}, uv);\n      }`;return new i.GlslLibRoutine(n)}const d=a,h=Math.ceil(o[1]/2),p=`vec4 ${t}(int row, int col) {\n      vec2 uv = packedUVfrom2D(${d[1]}, ${d[0]}, ${h}, row, col);\n      return ${u.texture2D}(${e}, uv);\n    }`;return new i.GlslLibRoutine(p,["coordinates.packedUVfrom2D"])}getPackedSampler3D(t,e,n){const r=n.unpackedShape,o=[n.width,n.height],u=[o[0],o[1]],l=(0,s.getGlsl)(this.context.glContext.version);if(1===r[0]){const s=r.slice(1),o=[1,2],u=(0,a.squeezeInputShape)(r,s),l=["b","row","col"],c=JSON.parse(JSON.stringify(n));c.unpackedShape=u;const d=this.getPackedSamplerFromInput(t,e,c),h=`${d.routineBody}\n      vec4 ${t}(int b, int row, int col) {\n        return ${t}(${(0,a.getSqueezedParams)(l,o)});\n      } `;return new i.GlslLibRoutine(h,d.dependencies)}const c=u[0],d=u[1],h=Math.ceil(r[2]/2),p=`vec4 ${t}(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        ${d}, ${c}, ${h*Math.ceil(r[1]/2)}, ${h}, b, row, col);\n      return ${l.texture2D}(${e}, uv);}`;return new i.GlslLibRoutine(p,["coordinates.packedUVfrom3D"])}getPackedSamplerND(t,e,n){const r=n.unpackedShape,o=r.length,a=[n.width,n.height],u=(0,s.getGlsl)(this.context.glContext.version),l=[a[0],a[1]],c=l[1],d=l[0],h=Math.ceil(r[o-1]/2);let p=h*Math.ceil(r[o-2]/2),f="int b, int row, int col",g=`b * ${p} + (row / 2) * ${h} + (col / 2)`;for(let t=2;t<o-1;t++)f=`int b${t}, `+f,p*=r[o-t-1],g=`b${t} * ${p} + `+g;const m=`vec4 ${t}(${f}) {\n      int index = ${g};\n      int texR = index / ${d};\n      int texC = index - texR * ${d};\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${d}, ${c});\n      return ${u.texture2D}(${e}, uv);\n    }`;return new i.GlslLibRoutine(m)}getUnpackedSamplerScalar(t,e,n){const[r,s]=[n.width,n.height];if(1===r&&1===s){const n=`\n          float ${t}() {\n            return sampleTexture(${e}, halfCR);\n          }\n        `;return new i.GlslLibRoutine(n,["coordinates.sampleTexture"])}const o=`\n        float ${t}() {\n          int offset_${e} = coordsToOffset(TexCoords, ${r}, ${s});\n          vec2 uv = uvFromFlat(${r}, ${s}, offset_${e});\n          return sampleTexture(${e}, uv);\n        }\n      `;return new i.GlslLibRoutine(o,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}getUnpackedSampler1D(t,e,n){const r=n.width,s=n.height;if(1===s&&1===r){const n=`\n        float ${t}(int index) {\n          return sampleTexture(${e}, halfCR);\n        }\n      `;return new i.GlslLibRoutine(n,["coordinates.sampleTexture"])}if(1===s){const n=`\n          float ${t}(int index) {\n            vec2 uv = vec2((float(index) + 0.5) / ${r}.0, 0.5);\n            return sampleTexture(${e}, uv);\n          }\n        `;return new i.GlslLibRoutine(n,["coordinates.sampleTexture"])}if(1===r){const n=`\n          float ${t}(int index) {\n            vec2 uv = vec2(0.5, (float(index) + 0.5) / ${s}.0);\n            return sampleTexture(${e}, uv);\n          }\n        `;return new 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${t}(${(0,a.getSqueezedParams)(u,c)});\n          }\n        `;return new i.GlslLibRoutine(l,["coordinates.sampleTexture"])}const h=u[1],p=u[0];if(1===p){const n=`\n          float ${t}(int row, int col) {\n            int offset_${e} = coordsToOffset(TexCoords, ${h}, ${p});\n            float index = dot(vec3(row, col, offset_${e}), vec3(${s[1]}, 1, 1));\n            vec2 uv = vec2(0.5, (index + 0.5) / ${h}.0);\n            return sampleTexture(${e}, uv);\n          }\n        `;return new i.GlslLibRoutine(n,["coordinates.sampleTexture","coordinates.coordsToOffset"])}if(1===h){const n=`\n          float ${t}(int row, int col) {\n            int offset_${e} = coordsToOffset(TexCoords, ${h}, ${p});\n            float index = dot(vec3(row, col, offset_${e}), vec3(${s[1]}, 1, 1));\n            vec2 uv = vec2((index + 0.5) / ${p}.0, 0.5);\n            return sampleTexture(${e}, uv);\n          }\n        `;return new 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        // Explicitly use integer operations as dot() only works on floats.\n            int index = depth * ${s} + col * ${u} + row;\n            vec2 uv = uvFromFlat(${n.width}, ${n.height}, index);\n            return sampleTexture(${e}, uv);\n          }\n      `;return new i.GlslLibRoutine(h,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}getUnpackedSampler4D(t,e,n){const r=n.unpackedShape,s=r[3],o=r[2]*s,a=`\n        float ${t}(int row, int col, int depth, int depth2) {\n          int index = row * ${r[1]*o} + col * ${o} +\n              depth2 * ${s} + depth;\n          vec2 uv = uvFromFlat(${n.width}, ${n.height}, index);\n          return sampleTexture(${e}, uv);\n        }\n      `;return new i.GlslLibRoutine(a,["coordinates.uvFromFlat","coordinates.sampleTexture"])}getUnpackedSampler5D(t,e,n){const r=n.unpackedShape,s=r[4],u=r[3]*s,l=r[2]*u,c=r[1]*l,{newShape:d,keptDims:h}=(0,o.squeezeShape)(r);if(d.length<r.length){const s=(0,a.squeezeInputShape)(r,d),o=["row","col","depth","depth2","depth3"],u=JSON.parse(JSON.stringify(n));u.unpackedShape=s;const l=`\n          ${this.getUnpackedSamplerFromInput(t,e,u).routineBody}\n          float ${t}(int row, int col, int depth, int depth2, int depth3) {\n            return ${t}(${(0,a.getSqueezedParams)(o,h)});\n          }\n        `;return new i.GlslLibRoutine(l,["coordinates.sampleTexture","coordinates.uvFromFlat"])}const p=`\n        float ${t}(int row, int col, int depth, int depth2, int depth3) {\n          int index = row * ${c} + col * ${l} + depth * ${u} +\n          depth3 * ${s} + depth2;\n          vec2 uv = uvFromFlat(${n.width}, ${n.height}, index);\n          return sampleTexture(${e}, uv);\n        }\n      `;return new i.GlslLibRoutine(p,["coordinates.sampleTexture","coordinates.uvFromFlat"])}getUnpackedSampler6D(t,e,n){const r=n.unpackedShape,s=r[5],u=r[4]*s,l=r[3]*u,c=r[2]*l,d=r[1]*c,{newShape:h,keptDims:p}=(0,o.squeezeShape)(r);if(h.length<r.length){const s=(0,a.squeezeInputShape)(r,h),o=["row","col","depth","depth2","depth3","depth4"],u=JSON.parse(JSON.stringify(n));u.unpackedShape=s;const l=`\n            ${this.getUnpackedSamplerFromInput(t,e,u).routineBody}\n            float ${t}(int row, int col, int depth,\n              int depth2, int depth3, int depth4) {\n              return ${t}(${(0,a.getSqueezedParams)(o,p)});\n            }\n          `;return new i.GlslLibRoutine(l,["coordinates.sampleTexture","coordinates.uvFromFlat"])}const f=`\n          float ${t}(int row, int col, int depth,\n            int depth2, int depth3, int depth4) {\n            int index = row * ${d} + col * ${c} + depth * ${l} +\n            depth2 * ${u} + depth3 * ${s} + depth4;\n            vec2 uv = uvFromFlat(${n.width}, ${n.height}, index);\n            return sampleTexture(${e}, uv);\n          }\n        `;return 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i.GlslLibRoutine(this.getValueFromSingle(e,s,r.width,r.height,!1),[`shapeUtils.indicesToOffset${o}`,"coordinates.offsetToCoords","fragcolor.getColorAsFloat"]),o+="_T",t[o]=new i.GlslLibRoutine(this.getValueFromSingle(e,s,r.width,r.height,!0),[`shapeUtils.indicesToOffset${o}`,"coordinates.offsetToCoords","fragcolor.getColorAsFloat"])})),t}getValueFromSingle(t,e,n,r,i){let o=`_${t}`;return i&&(o+="_T"),`\n        float ${o}(int m[${e}]) {\n          int offset = indicesToOffset${o}(m);\n          vec2 coords = offsetToCoords(offset, ${n}, ${r});\n          float value = getColorAsFloat(${(0,s.getGlsl)(this.context.glContext.version).texture2D}(${t}, coords));\n          return value;\n        }\n        `}getPackedValueFrom(t,e,n,r,i){let o=`_${t}_Pack`;return i&&(o+="_T"),`\n        vec4 ${o}(int m[${e}]) {\n          int offset = indicesToOffset_${t}(m);\n          vec2 coords = offsetToCoords(offset, ${n}, ${r});\n          return 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Can't topologically sort routines needed for shader.");e.add(t.name);const i=t.dependencies;if(i&&i.length>0)for(let t=0;t<i.length;++t)this.dfsTraverse(i[t],e,n,r);r.push(t),n.add(t.name),e.delete(t.name)}}},7341:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.EncodingGlslLib=void 0;const r=n(8520);class i extends r.GlslLib{constructor(t){super(t)}getFunctions(){return Object.assign(Object.assign({},this.encodeFloat32()),this.decodeFloat32())}getCustomTypes(){return{}}encodeFloat32(){return{encode:new r.GlslLibRoutine("highp vec4 encode(highp float f) {\n        return vec4(f, 0.0, 0.0, 0.0);\n      }\n        ")}}decodeFloat32(){return{decode:new r.GlslLibRoutine("highp float decode(highp vec4 rgba) {\n        return rgba.r;\n      }\n        ")}}encodeUint8(){const t=i.isLittleEndian()?"rgba.rgba=rgba.abgr;":"";return{encode:new r.GlslLibRoutine(`\n      highp vec4 encode(highp float f) {\n        highp float F = abs(f);\n        highp float Sign = 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u=(l=e.length>2,c=n.cacheKey,{name:"GroupedConv",inputNames:l?["X","W","Bias"]:["X","W"],inputTypes:l?[s.TextureType.unpacked,s.TextureType.unpacked,s.TextureType.unpacked]:[s.TextureType.unpacked,s.TextureType.unpacked],cacheHint:c});var l,c;return Object.assign(Object.assign({},u),{get:()=>((t,e,n,u)=>{const l=e.length>2?"value += getBias(output_channel);":"",c=e[0].dims.slice(),d=e[1].dims.slice(),h=d[0]/u.group;r.Logger.verbose("GroupedConv",`autpPad:${u.autoPad}, dilations:${u.dilations}, group:${u.group}, kernelShape:${u.kernelShape}, pads:${u.pads}, strides:${u.strides}`);const p=(0,o.calculateOutputShape)(c,d,u.dilations,u.pads,u.strides),f=(0,i.getGlsl)(t.session.backend.glContext.version),{activationFunction:g,applyActivation:m}=(0,a.getActivationSnippet)(u),_=`\n  const ivec2 strides = ivec2(${u.strides[0]}, ${u.strides[1]});\n  const ivec2 pads = ivec2(${u.pads[0]}, ${u.pads[1]});\n  ${g}\n  void main() {\n    ivec4 coords = getOutputCoords();\n    int batch = coords.x;\n    int output_channel = coords.y;\n    ivec2 xRCCorner = coords.zw * strides - pads;\n    int group_id = output_channel / ${h};\n\n    float value = 0.0;\n    for (int wInChannel = 0; wInChannel < ${d[1]}; wInChannel++) {\n      int input_channel = group_id * ${d[1]} + wInChannel;\n      for (int wHeight = 0; wHeight < ${d[2]}; wHeight++) {\n        int xHeight = xRCCorner.x + wHeight * ${u.dilations[0]};\n\n        if (xHeight < 0 || xHeight >= ${c[2]}) {\n          continue;\n        }\n\n        for (int wWidth = 0; wWidth < ${d[3]}; wWidth++) {\n          int xWidth = xRCCorner.y + wWidth * ${u.dilations[1]};\n          if (xWidth < 0 || xWidth >= ${c[3]}) {\n            continue;\n          }\n\n          float xVal = getX(batch, input_channel, xWidth, xHeight);\n          float wVal = getW(output_channel, wInChannel, wWidth, wHeight);\n          value += xVal*wVal;\n        }\n      }\n    }\n    ${l}\n    ${m}\n    ${f.output} = vec4(value, .0, .0, .0);\n  }\n`;return Object.assign(Object.assign({},n),{output:{dims:p,type:e[0].type,textureType:s.TextureType.unpacked},shaderSource:_,hasMain:!0})})(t,e,u,n)})}},1386:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.conv2DPacked=e.conv2DPackedPointwise=void 0;const r=n(8138),i=n(8555),s=n(708);e.conv2DPackedPointwise=(t,e,n)=>{const i=e[0].dims,o=e[1].dims,a=(0,r.calculateOutputShape)(i,o,n.dilations,n.pads,n.strides),u=t.reshapePacked(e[0],[i[1],i[2]*i[3]]),l=t.reshapePacked(e[1],[o[0],o[1]]),c=e.length>2?[l,u,e[2]]:[l,u],d=t.run((0,s.createPackedMatmulProgramInfoLoader)(t,c,n),c);return t.reshapePacked(d,a)},e.conv2DPacked=(t,e,n)=>{const o=e[0].dims,a=e[1].dims,u=(0,r.calculateOutputShape)(o,a,n.dilations,n.pads,n.strides),l=t.run((0,i.createPackedIm2ColProgramInfoLoader)(t,e[0],e[1],u,n),[e[0]]),c=t.reshapePacked(e[1],[a[0],a[1]*a[2]*a[3]]),d=3===e.length?[c,l,e[2]]:[c,l],h=t.run((0,s.createPackedMatmulProgramInfoLoader)(t,d,n),d);return t.reshapePacked(h,u)}},9663:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.parseConvTransposeAttributes=e.convTranspose=void 0;const r=n(246),i=n(5060),s=n(2039),o=n(2823),a=(t,e,n,r,i,s)=>(t-1)*e+n+(r-1)*i+1-s,u=(t,e,n,r,i)=>{const s=Math.floor(t/2);"SAME_UPPER"===e?(n[r]=s,n[i]=t-s):"SAME_LOWER"===e&&(n[r]=t-s,n[i]=s)};e.convTranspose=(t,e,n)=>(h(e,n),l(t,e,n));const l=(t,e,n)=>{const r=d(n,e);return[c(t,e,r)]},c=(t,e,n)=>t.run(((t,e,n)=>{const r=(a=e.length>2,u=n.cacheKey,{name:"ConvTranspose",inputNames:a?["X","W","B"]:["X","W"],inputTypes:a?[s.TextureType.unpacked,s.TextureType.unpacked,s.TextureType.unpacked]:[s.TextureType.unpacked,s.TextureType.unpacked],cacheHint:u});var a,u;return Object.assign(Object.assign({},r),{get:()=>((t,e,n,r)=>{const a=e.length>2?"getB(output_channel)":"0.0",u=e[0].dims,l=e[1].dims,c=l[1],d=l[0]/r.group,h=[e[0].dims[0],e[1].dims[1]*r.group,...r.outputShape],p=(0,i.getGlsl)(t.session.backend.glContext.version),{activationFunction:f,applyActivation:g}=(0,o.getActivationSnippet)(r),m=`\n  const ivec2 strides = ivec2(${r.strides[0]}, ${r.strides[1]});\n  const ivec2 pads = ivec2(${r.pads[0]}, ${r.pads[1]});\n  ${f}\n  void main() {\n    ivec4 coords = getOutputCoords();\n    int batch = coords.x;\n    int output_channel = coords.y;\n\n    ivec2 loc = coords.zw + pads;\n\n    int group_id = output_channel / ${c};\n    int wOutChannel = output_channel - group_id * ${c};\n\n    float value = ${a};\n    for (int inChannelOffset = 0; inChannelOffset < ${d}; inChannelOffset++) {\n      int input_channel = group_id * ${d} + inChannelOffset;\n      for (int wWOff = 0; wWOff < ${l[2]}; wWOff++) {\n        for (int wHOff = 0; wHOff < ${l[3]}; wHOff++) {\n          ivec2 wOff = ivec2(wWOff * ${r.dilations[0]}, wHOff * ${r.dilations[1]});\n          ivec2 wLoc = loc - wOff;\n          ivec2 wLocIn = wLoc / strides;\n          if (\n            wLocIn * strides == wLoc &&\n            wLocIn.x >= 0 && wLocIn.x < ${u[2]} &&\n            wLocIn.y >= 0 && wLocIn.y < ${u[3]}\n          ) {\n            float xVal = getX(batch, input_channel, wLocIn.y, wLocIn.x);\n            float wVal = getW(input_channel, wOutChannel, wHOff, wWOff);\n            value += xVal * wVal;\n          }\n        }\n      }\n    }\n    ${g}\n    ${p.output} = vec4(value, .0, .0, .0);\n  }\n`;return Object.assign(Object.assign({},n),{output:{dims:h,type:e[0].type,textureType:s.TextureType.unpacked},shaderSource:m,hasMain:!0})})(t,e,r,n)})})(t,e,n),e),d=(t,e)=>{const n=t.kernelShape.slice();if(0===t.kernelShape.length)for(let t=2;t<e[1].dims.length;++t)n.push(e[1].dims[t]);const r=t.pads.slice(),i=t.outputShape.slice();((t,e,n,r,i,s,o,l)=>{const c=t.length-2,d=0===l.length;for(let h=0;h<c;++h){const p=d?t[h+2]*s[h]:l[h],f=a(t[h+2],s[h],i[h],e[h],n[h],p);u(f,r,i,h,h+c),d&&l.push(s[h]*(t[h+2]-1)+o[h]+(e[h]-1)*n[h]+1-i[h]-i[h+c])}})(e[0].dims,n,t.dilations,t.autoPad,r,t.strides,t.outputPadding,i);const s=Object.assign({},t);return Object.assign(s,{kernelShape:n,pads:r,outputShape:i,cacheKey:t.cacheKey}),s};e.parseConvTransposeAttributes=t=>{const e=t.attributes,n=(0,o.parseInternalActivationAttributes)(e),i=e.getString("auto_pad","NOTSET"),s=e.getInts("dilations",[1,1]),a=e.getInt("group",1),u=e.getInts("kernel_shape",[]),l=e.getInts("output_padding",[0,0]),c=e.getInts("output_shape",[]),d=e.getInts("pads",[0,0,0,0]),h=e.getInts("strides",[1,1]);return(0,r.createAttributeWithCacheKey)(Object.assign({autoPad:i,dilations:s,group:a,kernelShape:u,outputPadding:l,outputShape:c,pads:d,strides:h},n))};const h=(t,e)=>{if(!t||2!==t.length&&3!==t.length)throw new Error("Conv requires 2 or 3 inputs");if(4!==t[0].dims.length||4!==t[1].dims.length)throw new Error("currently only support 2-dimensional conv");if(t[0].dims[1]!==t[1].dims[0])throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");const n=t[1].dims[1]*e.group;if(3===t.length&&(1!==t[2].dims.length||t[2].dims[0]!==n))throw new Error("invalid bias");const r=t[0].dims.length-2;if(e.dilations.length!==r)throw new Error(`dilations should be ${r}D`);if(e.strides.length!==r)throw new Error(`strides should be ${r}D`);if(e.pads.length!==2*r)throw new Error(`pads should be ${2*r}D`);if(e.outputPadding.length!==r)throw new Error(`output_padding should be ${r}D`);if(0!==e.kernelShape.length&&e.kernelShape.length!==t[1].dims.length-2)throw new Error("invalid kernel shape");if(0!==e.outputShape.length&&e.outputShape.length!==t[0].dims.length-2)throw new Error("invalid output shape");if("float32"!==t[0].type||"float32"!==t[1].type)throw new Error("ConvTranspose input(X,W) should be float tensor");if(3===t.length&&"float32"!==t[2].type)throw new Error("ConvTranspose input(bias) should be float tensor")}},8138:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.parseConvAttributes=e.conv=e.calculateOutputShape=void 0;const r=n(246),i=n(2517),s=n(4770),o=n(1386),a=n(9828),u=n(2823),l=n(3248),c=n(5623);e.calculateOutputShape=(t,e,n,r,i)=>{const s=t[0],o=t.slice(2),a=o.length,u=e[0],l=e.slice(2).map(((t,e)=>t+(t-1)*(n[e]-1))),c=o.map(((t,e)=>t+r[e]+r[e+a])).map(((t,e)=>Math.floor((t-l[e]+i[e])/i[e])));return[s,u].concat(...c)},e.conv=(t,e,n)=>(g(e,n),d(t,e,n));const d=(t,e,n)=>{const r=f(n,e),i=t.session.pack,a=1===r.kernelShape[0]&&1===r.kernelShape[1];return r.group>1?[t.run((0,s.createUnpackedGroupedConvProgramInfoLoader)(t,e,r),e)]:a&&i?[h(t,e,r)]:i&&4===e[0].dims.length&&1===e[0].dims[0]&&!a?[(0,o.conv2DPacked)(t,e,r)]:[p(t,e,r)]},h=(t,n,r)=>{const i=n[0].dims,s=n[1].dims,o=(0,e.calculateOutputShape)(i,s,r.dilations,r.pads,r.strides),a=t.reshapeUnpacked(n[0],[i[1],i[2]*i[3]]),u=t.reshapeUnpacked(n[1],[s[0],s[1]]),l=n.length>2?[u,a,n[2]]:[u,a],d=t.run((0,c.createMatmulProgramInfoLoader)(l,r),l);return t.reshapeUnpacked(d,o)},p=(t,n,r)=>{const i=n[0].dims,s=n[1].dims,o=(0,e.calculateOutputShape)(i,s,r.dilations,r.pads,r.strides),u=t.run((0,l.createIm2ColProgramInfoLoader)(t,n[0],n[1],o,r),[n[0]]),c=3===n.length?[u,n[1],n[2]]:[u,n[1]];return t.run((0,a.createDotProductProgramInfoLoader)(t,n,o,r),c)},f=(t,e)=>{const n=t.kernelShape.slice();if(0===t.kernelShape.length)for(let t=2;t<e[1].dims.length;++t)n.push(e[1].dims[t]);const r=t.pads.slice();i.PoolConvUtil.adjustPadsBasedOnAutoPad(e[0].dims,t.strides,t.dilations,n,r,t.autoPad);const s=Object.assign({},t);return Object.assign(s,{kernelShape:n,pads:r,cacheKey:t.cacheKey}),s};e.parseConvAttributes=t=>{const e=t.attributes,n=(0,u.parseInternalActivationAttributes)(e),i=e.getString("auto_pad","NOTSET"),s=e.getInts("dilations",[1,1]),o=e.getInt("group",1),a=e.getInts("kernel_shape",[]),l=e.getInts("pads",[0,0,0,0]),c=e.getInts("strides",[1,1]);return(0,r.createAttributeWithCacheKey)(Object.assign({autoPad:i,dilations:s,group:o,kernelShape:a,pads:l,strides:c},n))};const g=(t,e)=>{if(!t||2!==t.length&&3!==t.length)throw new Error("Conv requires 2 or 3 inputs");if(4!==t[0].dims.length||4!==t[1].dims.length)throw new Error("currently only support 2-dimensional conv");if(t[0].dims[1]!==t[1].dims[1]*e.group)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");if(3===t.length&&(1!==t[2].dims.length||t[1].dims[0]!==t[2].dims[0]))throw new Error("invalid bias");const n=t[0].dims.length-2;if(e.dilations.length!==n)throw new Error(`dilations should be ${n}D`);if(e.strides.length!==n)throw new Error(`strides should be ${n}D`);if(e.pads.length!==2*n)throw new Error(`pads should be ${2*n}D`);if(0!==e.kernelShape.length&&e.kernelShape.length!==t[1].dims.length-2)throw new Error("invalid kernel shape");if("float32"!==t[0].type||"float32"!==t[1].type)throw new Error("Conv input(X,W) should be float tensor");if(3===t.length&&"float32"!==t[2].type)throw new Error("Conv input(bias) should be float tensor")}},5193:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.parseDepthToSpaceAttributes=e.depthToSpace=void 0;const r=n(3738);e.depthToSpace=(t,e,n)=>{i(e);const s=n.blocksize,o=s*s,a="DCR"===n.mode?[0,3,4,1,5,2]:[0,1,4,2,5,3],u="DCR"===n.mode?[e[0].dims[0],s,s,e[0].dims[1]/o,e[0].dims[2],e[0].dims[3]]:[e[0].dims[0],e[0].dims[1]/o,s,s,e[0].dims[2],e[0].dims[3]],l=t.reshapeUnpacked(e[0],u),c={perm:a,cacheKey:`${a}`},[d]=(0,r.transpose)(t,[l],c),h=[e[0].dims[0],e[0].dims[1]/o,e[0].dims[2]*s,e[0].dims[3]*s];return[t.reshapeUnpacked(d,h)]},e.parseDepthToSpaceAttributes=t=>{const e=t.attributes.getInt("blocksize");if(e<1)throw new Error(`blocksize must be >= 1, but got : ${e} for DepthToSpace`);const n=t.attributes.getString("mode","DCR");if("DCR"!==n&&"CRD"!==n)throw new Error(`unrecognized mode: ${n} for DepthToSpace`);return{mode:n,blocksize:e}};const i=t=>{if(1!==t.length)throw new Error(`DepthToSpace expect 1 inputs, but got ${t.length}`);if("string"===t[0].type||4!==t[0].dims.length)throw new TypeError("DepthToSpace input should be a 4-D numeric tensor")}},9828:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.createDotProductProgramInfoLoader=void 0;const r=n(2517),i=n(5060),s=n(2039),o=n(2823),a=n(3248);e.createDotProductProgramInfoLoader=(t,e,n,u)=>{const l=((t,e)=>({name:"ConvDotProduct",inputNames:t?["Im2Col","K","B"]:["Im2Col","K"],inputTypes:t?[s.TextureType.unpacked,s.TextureType.packedLastDimension,s.TextureType.unpacked]:[s.TextureType.unpacked,s.TextureType.packedLastDimension],cacheKey:e.activationCacheKey}))(e.length>2,u);return Object.assign(Object.assign({},l),{get:()=>((t,e,n,u,l)=>{const c=n[0].dims,d=n[1].dims,h=[d[0],Math.ceil(c[1]*d[2]*d[3]/4)],p=(0,a.calculateIm2ColDims)(c,d,u),[f,g]=t.calculateTextureWidthAndHeight(h,s.TextureType.packedLastDimension),m=r.ShapeUtil.computeStrides(p),[_,b]=t.calculateTextureWidthAndHeight(p,s.TextureType.packedLastDimension),y=u.length,w=n.length<3?"0.0":"_B(b)",v=Math.ceil(c[1]*d[2]*d[3]/4),{activationFunction:x,applyActivation:T}=(0,o.getActivationSnippet)(l),S=(0,i.getGlsl)(t.session.backend.glContext.version),A=`\n${x}\nfloat process(int indices[${y}]) {\n  int b[1];\n  b[0] = indices[1];\n  int im2col[4];\n  im2col[0] = indices[0];\n  im2col[1] = indices[2];\n  im2col[2] = indices[3];\n  int im2colOffset = im2col[0] * ${m[0]} + im2col[1] * ${m[1]} + im2col[2] * ${m[2]};\n  int kernelOffset = indices[1] * ${h[1]};\n  float value = ${w};\n  for (int i = 0; i < ${v}; ++i) {\n    vec2 im2colCoords = offsetToCoords(im2colOffset, ${_}, ${b});\n    vec2 kernelCoords = offsetToCoords(kernelOffset, ${f}, ${g});\n    value += dot(${S.texture2D}(Im2Col, im2colCoords), ${S.texture2D}(K, kernelCoords));\n    ++im2colOffset;\n    ++kernelOffset;\n  }\n  ${T}\n  return value;\n}`;return Object.assign(Object.assign({},e),{output:{dims:u,type:n[0].type,textureType:s.TextureType.unpacked},shaderSource:A})})(t,l,e,n,u)})}},7992:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.parseFlattenAttributes=e.flatten=void 0;const r=n(2517);e.flatten=(t,e,n)=>{i(e,n);const s=r.ShapeUtil.flattenShape(e[0].dims,n);return[t.reshapeUnpacked(e[0],s)]},e.parseFlattenAttributes=t=>t.attributes.getInt("axis",1);const i=(t,e)=>{if(!t||1!==t.length)throw new Error("Flatten requires 1 input.");const n=t[0].dims.length;if(0===n)throw new Error("scalar tensor is not supported.");if(e<-n||e>n)throw new Error("Invalid axis");if("string"===t[0].type)throw new Error("string tensor is not supported.")}},2823:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.parseInternalActivationAttributes=e.getActivationSnippet=void 0;const r=n(2517),i=n(4909);e.getActivationSnippet=function(t){let e;switch(t.activation){case"Relu":e=(0,i.glslRelu)();break;case"Sigmoid":e=(0,i.glslSigmoid)();break;case"Clip":e=(0,i.glslClip)(t.clipMin,t.clipMax);break;default:return{activationFunction:"",applyActivation:""}}const n=e.name;return{activationFunction:e.body,applyActivation:`value = ${n}_(value);`}},e.parseInternalActivationAttributes=t=>{const e=t.getString("activation","");if("Clip"===e){const[n,i]=t.getFloats("activation_params",[r.MIN_CLIP,r.MAX_CLIP]);return{activation:e,clipMax:i,clipMin:n,activationCacheKey:`${e}:${n},${i}`}}return{activation:e,activationCacheKey:e}}},1253:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.parseGatherAttributes=e.gather=void 0;const r=n(246),i=n(782),s=n(2517),o=n(2039);e.gather=(t,e,n)=>(l(e,n.axis),[t.run(u(t,e,n),e)]),e.parseGatherAttributes=t=>(0,r.createAttributeWithCacheKey)({axis:t.attributes.getInt("axis",0)});const a={name:"Gather",inputNames:["A","B"],inputTypes:[o.TextureType.unpacked,o.TextureType.unpacked]},u=(t,e,n)=>{const r=Object.assign(Object.assign({},a),{cacheHint:n.cacheKey});return Object.assign(Object.assign({},r),{get:()=>((t,e,n,r)=>{const i=n[0].dims.slice(),a=n[1].dims.slice(),u=new Array(i.length+a.length-1);r=s.ShapeUtil.normalizeAxis(r,i.length);const l=[];for(let t=0;t<u.length;t++)t<r?(u[t]=i[t],l.push(`inputIdx[${t}] = outputIdx[${t}];`)):t<r+a.length?(u[t]=a[t-r],l.push(`indexDataIdx[${t-r}] = outputIdx[${t}];`)):(u[t]=i[t-a.length+1],l.push(`inputIdx[${t-a.length+1}] = outputIdx[${t}];`));const c=`\n      float process(int outputIdx[${u.length||1}]) {\n        int inputIdx[${i.length}];\n        int indexDataIdx[${a.length||1}];\n        indexDataIdx[0] = 0;\n        ${l.join("\n        ")}\n        int idx = int(_B(indexDataIdx));\n        inputIdx[${r}] = idx < 0 ? idx + ${i[r]} : idx;\n        return _A(inputIdx);\n      }`;return Object.assign(Object.assign({},e),{output:{dims:u,type:n[0].type,textureType:o.TextureType.unpacked},shaderSource:c})})(0,r,e,n.axis)})},l=(t,e)=>{if(!t||2!==t.length)throw new Error("Gather requires 2 inputs.");const n=t[0].dims.length;if(n<1)throw new Error("Invalid input shape.");if(e<-n||e>n-1)throw new Error("Invalid axis.");if(-1===i.NUMBER_TYPES.indexOf(t[0].type))throw new Error("Invaid input type.");if("int32"!==t[1].type&&"int16"!==t[1].type)throw new Error("Invaid input type.")}},4776:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.parseGemmAttributesV11=e.parseGemmAttributesV7=e.gemm=void 0;const r=n(246),i=n(2517),s=n(2039);e.gemm=(t,e,n)=>(l(e,n),[t.run(a(e,n),e)]);const o=(t,e)=>{const n=0!==t.attributes.getInt("transA",0),i=0!==t.attributes.getInt("transB",0),s=t.attributes.getFloat("alpha",1),o=t.attributes.getFloat("beta",1);return(0,r.createAttributeWithCacheKey)({transA:n,transB:i,alpha:s,beta:o,isOptionalC:e})};e.parseGemmAttributesV7=t=>o(t,!1),e.parseGemmAttributesV11=t=>o(t,!0);const a=(t,e)=>{const n={name:"Gemm",inputNames:3===t.length?["A","B","C"]:["A","B"],inputTypes:3===t.length?[s.TextureType.unpacked,s.TextureType.unpacked,s.TextureType.unpacked]:[s.TextureType.unpacked,s.TextureType.unpacked],key:e.cacheKey};return Object.assign(Object.assign({},n),{get:()=>u(n,t,e)})},u=(t,e,n)=>{const r=e[0].dims.slice(),o=e[1].dims.slice(),[a,u]=i.GemmUtil.getShapeOfGemmResult(r,n.transA,o,n.transB,3===e.length?e[2].dims:void 0),l=[a,u];if(!l)throw new Error("Can't use gemm on the given tensors");let c=r[r.length-1],d="";n.transA&&(c=r[0]),n.transA&&n.transB?d="value += _A_T(a) * _B_T(b);":n.transA&&!n.transB?d="value += _A_T(a) * _B(b);":!n.transA&&n.transB?d="value += _A(a) * _B_T(b);":n.transA||n.transB||(d="value += _A(a) * _B(b);");const h=l.length,p=`\n      float process(int indices[${h}]) {\n          int a[${h}];\n          int b[${h}];\n          ${3===e.length?`int c[${e[2].dims.length}];`:""}\n\n          copyVec(indices, a);\n          copyVec(indices, b);\n          ${3===e.length?"bcastIndices_C(indices, c);":""}\n\n          float value = 0.0;\n          for (int k=0; k<${c}; ++k) {\n              a[${h-1}] = k;\n              b[${h-2}] = k;\n              ${d}\n          }\n\n          value = value * alpha;\n          ${3===e.length?"value += beta * _C(c);":""}\n          return value;\n      }`;return Object.assign(Object.assign({},t),{output:{dims:l,type:e[0].type,textureType:s.TextureType.unpacked},variables:[{name:"alpha",type:"float",data:n.alpha},{name:"beta",type:"float",data:n.beta}],shaderSource:p})},l=(t,e)=>{if(!t)throw new Error("Input is missing");if(e.isOptionalC&&(t.length<2||t.length>3))throw new Error("Invaid input shape.");if(!e.isOptionalC&&3!==t.length)throw new Error("Gemm requires 3 inputs");if(3===t.length&&1!==t[2].dims.length&&2!==t[2].dims.length)throw new Error("Invalid input shape of C");if("float32"!==t[0].type&&"float64"!==t[0].type||"float32"!==t[1].type&&"float64"!==t[1].type||3===t.length&&"float32"!==t[2].type&&"float64"!==t[2].type)throw new Error("Invalid input type.");if(t[0].type!==t[1].type||3===t.length&&t[0].type!==t[2].type)throw new Error("Input types are mismatched")}},8555:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.createPackedIm2ColProgramInfoLoader=void 0;const r=n(5060),i=n(2039),s=n(2827);e.createPackedIm2ColProgramInfoLoader=(t,e,n,o,a)=>{const u=(l=a.cacheKey,{name:"Im2Col (packed)",inputNames:["A"],inputTypes:[i.TextureType.packed],cacheHint:l});var l;return Object.assign(Object.assign({},u),{get:()=>((t,e,n,o,a,u)=>{const l=n.dims,c=o.dims,d=a.length,h=[c[1]*c[2]*c[3],a[2]*a[3]],p=c[2]*c[3],f=(0,s.unpackFromChannel)(),g=(0,r.getGlsl)(t.session.backend.glContext.version);let m="";for(let t=0;t<=1;t++)for(let e=0;e<=1;e++)m+=`\n            blockIndex = rc.x + ${e};\n            pos = rc.y + ${t};\n\n            if(blockIndex < ${h[1]} && pos < ${h[0]}) {\n              offsetY = int(blockIndex / (${a[d-1]})) * ${u.strides[0]} -\n                ${u.pads[0]};\n              d0 = offsetY + ${u.dilations[0]} * (imod(pos, ${p}) / ${c[2]});\n\n              if(d0 < ${l[2]} && d0 >= 0) {\n                offsetX = imod(blockIndex, ${a[d-1]}) * ${u.strides[1]} -\n                  ${u.pads[1]};\n                d1 = offsetX + ${u.dilations[1]} * imod(imod(pos, ${p}), ${c[2]});\n\n                if(d1 < ${l[3]} && d1 >= 0) {\n\n                  ch = int(float(pos)/ ${p}.);\n                    innerDims = vec2(d0, d1);\n                    result[${2*t+e}] = getChannel(\n                      getA(0, ch, int(innerDims.x),\n                      int(innerDims.y)), innerDims);\n                }\n              }\n            }\n\n          `;const _=`\n      ${f}\n\n      void main() {\n        ivec2 rc = getOutputCoords();\n          vec4 result = vec4(0.0);\n          int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n          vec2 innerDims;\n          ${m}\n          ${g.output} = result;\n      }\n            `;return Object.assign(Object.assign({},e),{output:{dims:h,type:n.type,textureType:i.TextureType.packed},shaderSource:_,hasMain:!0})})(t,u,e,n,o,a)})}},3248:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.calculateIm2ColDims=e.createIm2ColProgramInfoLoader=void 0;const r=n(2039);e.createIm2ColProgramInfoLoader=(t,n,i,s,o)=>{const a=(u=o.cacheKey,{name:"Im2Col",inputNames:["X"],inputTypes:[r.TextureType.unpacked],cacheHint:u});var u;return Object.assign(Object.assign({},a),{get:()=>((t,n,i,s,o,a)=>{const u=i.dims,l=s.dims,c=o.length,d=(0,e.calculateIm2ColDims)(u,l,o,4),h=`\n        const int XC = ${u[1]};\n        const int XH = ${u[2]};\n        const int XW = ${u[3]};\n        const int KH = ${a.kernelShape[0]};\n        const int KW = ${a.kernelShape[1]};\n        const int dilationH = ${a.dilations[0]};\n        const int dilationW = ${a.dilations[1]};\n        const int strideH = ${a.strides[0]};\n        const int strideW = ${a.strides[1]};\n        const int padH = ${a.pads[0]};\n        const int padW = ${a.pads[1]};\n        const int KHKW = KH*KW;\n        const int XCKHKW = XC * KHKW;\n        const int outputChannels = 4;\n        vec4 process(int indices[${c}]) {\n          int b  = indices[0]; // batch size\n          int oh = indices[1] * strideH - padH; //output height\n          int ow = indices[2] * strideW - padW; //output width\n          int p = indices[3] * outputChannels; //patch\n          vec4 value = vec4(0.0);\n          for(int i=0; i < outputChannels; ++i) {\n            if(p < XCKHKW) {\n              int patchC = p / KHKW;\n              int patchH = (p - patchC*KHKW) / KW;\n              int patchW = (p - patchC*KHKW) - patchH * KW;\n              int xh2 = oh + patchH * dilationH;\n              int xw2 = ow + patchW * dilationW;\n              int x[${u.length}];\n              x[0] = b;\n              x[1] = patchC;\n              x[2] = xh2;\n              x[3] = xw2;\n              if(xh2 >= 0 &&\n                  xh2 < XH &&\n                  xw2 >= 0 &&\n                  xw2 < XW) {\n                value[i] = _X(x);\n              }\n            }\n            ++p;\n          }\n          return value;\n        }\n        `;return Object.assign(Object.assign({},n),{output:{dims:d,type:i.type,textureType:r.TextureType.packedLastDimension},shaderSource:h})})(0,a,n,i,s,o)})},e.calculateIm2ColDims=(t,e,n,r=4)=>[n[0],n[2],n[3],Math.ceil(t[1]*e[2]*e[3]/r)]},6572:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.parseImageScalerAttributes=e.imageScaler=void 0;const r=n(246),i=n(2039);e.imageScaler=(t,e,n)=>(u(e),[t.run(o(t,e,n),e)]),e.parseImageScalerAttributes=t=>{const e=t.attributes.getFloat("scale"),n=t.attributes.getFloats("bias");return(0,r.createAttributeWithCacheKey)({scale:e,bias:n})};const s={name:"ImageScaler",inputNames:["X"],inputTypes:[i.TextureType.unpacked]},o=(t,e,n)=>{const r=Object.assign(Object.assign({},s),{cacheHint:n.cacheKey});return Object.assign(Object.assign({},r),{get:()=>((t,e,n,r)=>{const s=n[0].dims.slice(),o=s.length,u=`\n      ${a(r.bias.length)}\n      float process(int indices[${o}]) {\n        return _X(indices) * scale + getBias(bias, indices[1]);\n      }`;return Object.assign(Object.assign({},e),{output:{dims:s,type:n[0].type,textureType:i.TextureType.unpacked},variables:[{name:"bias",type:"float",arrayLength:r.bias.length,data:r.bias},{name:"scale",type:"float",data:r.scale}],shaderSource:u})})(0,r,e,n)})},a=t=>{const e=[`float getBias(float bias[${t}], int channel) {`];for(let n=0;n<t;++n)0===n?e.push(`\tif (channel == ${n}) { return bias[${n}]; }`):n===t-1?e.push(`\telse { return bias[${n}]; }`):e.push(`\telse if (channel == ${n}) { return bias[${n}]; }`);return e.push("\t}"),e.join("\n")},u=t=>{if(!t||1!==t.length)throw new Error("ImageScaler requires 1 input.");if(4!==t[0].dims.length)throw new Error("Invalid input shape.");if("float32"!==t[0].type&&"float64"!==t[0].type)throw new Error("Invalid input type.")}},3346:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.parseInstanceNormalizationAttributes=e.instanceNormalization=void 0;const r=n(5060),i=n(2039);e.instanceNormalization=(t,e,n)=>{l(e);const r=t.run(o(e[0]),e);return[t.run(u(t,e[0],n,r.dims),[e[0],r,e[1],e[2]])]},e.parseInstanceNormalizationAttributes=t=>t.attributes.getFloat("epsilon",1e-5);const s={name:"InstanceNormalization_MeanAndVariance",inputNames:["X"],inputTypes:[i.TextureType.unpacked]},o=t=>Object.assign(Object.assign({},s),{get:()=>((t,e)=>{const n=e.dims.slice(),r=n[1],s=n[2]*n[3],o=[n[0],r],a=`\n      vec4 process(int[2] indices) {\n        vec4 v = vec4(0.0);\n        int a[4];\n        a[0] = indices[0];\n        a[1] = indices[1];\n        float temp = 0.0;\n        for(int a2=0; a2<${n[2]}; a2++) {\n          a[2] = a2;\n          for(int a3=0; a3<${n[3]}; a3++) {\n            a[3] = a3;\n            float x = _X(a);\n            temp += x;\n          }\n        }\n        float mean = temp / float(${s});\n        temp = 0.0;\n        for(int a2=0; a2<${n[2]}; a2++) {\n          a[2] = a2;\n          for(int a3=0; a3<${n[3]}; a3++) {\n            a[3] = a3;\n            float x = _X(a);\n            temp += (x - mean) * (x - mean);\n          }\n        }\n        v.r = mean;\n        v.g = temp / float(${s});\n\n        return v;\n      }`;return Object.assign(Object.assign({},t),{output:{dims:o,type:e.type,textureType:i.TextureType.packedLastDimension},shaderSource:a})})(s,t)}),a={name:"InstanceNormalization_ComputeOutput",inputNames:["X","MeanAndVariance","Scale","B"],inputTypes:[i.TextureType.unpacked,i.TextureType.packedLastDimension,i.TextureType.unpacked,i.TextureType.unpacked]},u=(t,e,n,s)=>{const o=Object.assign(Object.assign({},a),{cacheHint:`${n}`});return Object.assign(Object.assign({},o),{get:()=>((t,e,n,s,o)=>{const a=(0,r.getGlsl)(t.session.backend.glContext.version),[u,l]=t.calculateTextureWidthAndHeight(o,i.TextureType.packedLastDimension),[c,d]=[u/4,l],h=`\n      vec4 get_MeanAndVariance(int[2] mv) {\n        int offset = indicesToOffset_MeanAndVariance(mv);\n        vec2 coords = offsetToCoords(offset, ${c}, ${d});\n        return ${a.texture2D}(MeanAndVariance, coords);\n      }\n\n      float process(int[4] indices) {\n        int mv[2];\n        mv[0] = indices[0];\n        mv[1] = indices[1];\n        vec4 mean_and_variance = get_MeanAndVariance(mv);\n        float mean = mean_and_variance.r;\n        float variance = mean_and_variance.g;\n\n        int sb[1];\n        sb[0] = indices[1];\n        float scale = _Scale(sb);\n        float b = _B(sb);\n\n        return scale * (_X(indices) - mean) / sqrt(variance + epsilon) + b;\n      }`;return Object.assign(Object.assign({},e),{output:{dims:n.dims,type:n.type,textureType:i.TextureType.unpacked},variables:[{name:"epsilon",type:"float",data:s}],shaderSource:h})})(t,o,e,n,s)})},l=t=>{if(!t||3!==t.length)throw new Error("InstanceNormalization requires 3 inputs.");const e=t[0],n=t[1],r=t[2];if(e.dims.length<3||1!==n.dims.length||1!==r.dims.length)throw new Error("Invalid input shape.");if(n.dims[0]!==e.dims[1]||r.dims[0]!==e.dims[1])throw new Error("Input shapes are mismatched.");if("float32"!==e.type&&"float64"!==e.type||"float32"!==n.type&&"float64"!==n.type||"float32"!==r.type&&"float64"!==r.type)throw new Error("Invalid input type.");if(4!==t[0].dims.length)throw new Error("Only support 4-D input shape.")}},708:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.createPackedMatmulProgramInfoLoader=void 0;const r=n(2517),i=n(5060),s=n(2039),o=n(9390),a=n(2823),u=n(5623);e.createPackedMatmulProgramInfoLoader=(t,e,n)=>{const l=(c=e.length>2,d=n.activationCacheKey,{name:"MatMul (packed)",inputNames:c?["A","B","Bias"]:["A","B"],inputTypes:c?[s.TextureType.packed,s.TextureType.packed,s.TextureType.packed]:[s.TextureType.packed,s.TextureType.packed],cacheHint:d});var c,d;return Object.assign(Object.assign({},l),{get:()=>((t,e,n,l)=>{const c=n.length>2,d=c?"value += getBiasForMatmul();":"",h=n[0].dims,p=n[1].dims,f=r.BroadcastUtil.calcShape(h,p,!0),g=!r.ShapeUtil.areEqual(n[0].dims,n[1].dims);if(!f)throw new Error("Can't use matmul on the given tensors");const m=h[h.length-1],_=Math.ceil(m/2),b=h.length,y=p.length,w=(0,i.getGlsl)(t.session.backend.glContext.version),v=(0,o.getCoordsDataType)(f.length),x=f.length,T=(0,o.getGlChannels)(),{activationFunction:S,applyActivation:A}=(0,a.getActivationSnippet)(l),k=c?`${(0,u.getBiasForMatmul)(v,T,n[2].dims,f,!0)}`:"",O=g?`${function(t,e,n,i){let s=[],o=[];const a=n[0].dims,u=n[1].dims,l=a.length,c=u.length,d=i.length,h=d-l,p=d-c;s=a.map(((t,n)=>`coords.${e[n+h]}`)),s[l-1]="i*2",s.join(", "),o=u.map(((t,n)=>`coords.${e[n+p]}`)),o[c-2]="i*2",o.join(", ");const f=r.BroadcastUtil.getBroadcastDims(a,i),g=r.BroadcastUtil.getBroadcastDims(u,i),m=f.map((t=>`coords.${e[t+h]} = 0;`)).join("\n"),_=g.map((t=>`coords.${e[t+p]} = 0;`)).join("\n"),b=`int lastDim = coords.${e[d-1]};\n  coords.${e[d-1]} = coords.${e[d-2]};\n  coords.${e[d-2]} = lastDim;`;return`\nvec4 getAAtOutCoordsMatmul(int i) {\n  ${t} coords = getOutputCoords();\n  ${b}\n  ${m}\n  vec4 outputValue = getA(${s});\n  return outputValue;\n}\n\nvec4 getBAtOutCoordsMatmul(int i) {\n  ${t} coords = getOutputCoords();\n  ${b}\n  ${_}\n  vec4 outputValue = getB(${o});\n  return outputValue;\n}`}(v,T,n,f)}`:"",E=g?"getAAtOutCoordsMatmul(i)":`getA(${function(t,e){let n="";for(let r=0;r<e-2;r++)n+=`rc.${t[r]}, `;return n+=`rc.${t[e-2]}, i*2`,n}(T,b)})`,I=g?"getBAtOutCoordsMatmul(i)":`getB(${function(t,e){let n="";for(let r=0;r<e-2;r++)n+=`rc.${t[r]}, `;return n+=`i*2, rc.${t[e-1]}`,n}(T,y)})`,P=`\n            ${O}\n            ${k}\n            ${S}\n            void main() {\n              ${g?"":`${v} rc =\n          getOutputCoords(); int lastDim = rc.${T[x-1]}; rc.${T[x-1]} =\n          rc.${T[x-2]}; rc.${T[x-2]} = lastDim;\n      `}\n\n              vec4 value = vec4(0);\n              for (int i = 0; i < ${_}; i++) {\n                vec4 a = ${E};\n                vec4 b = ${I};\n\n                value += (a.rrbb * b.rgrg);\n                value += (a.ggaa * b.baba);\n              }\n              ${d}\n              ${A}\n              ${w.output} = value;\n            }`;return Object.assign(Object.assign({},e),{output:{dims:f,type:n[0].type,textureType:s.TextureType.packed},shaderSource:P,hasMain:!0})})(t,l,e,n)})}},5623:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.getBiasForMatmul=e.createMatmulProgramInfoLoader=e.parseMatMulAttributes=e.matMul=void 0;const r=n(2517),i=n(2039),s=n(9390),o=n(2823),a=n(708);function u(t,e){const n=(a=t.length>2,u=e.activationCacheKey,{name:"MatMul",inputNames:a?["A","B","Bias"]:["A","B"],inputTypes:a?[i.TextureType.unpacked,i.TextureType.unpacked,i.TextureType.unpacked]:[i.TextureType.unpacked,i.TextureType.unpacked],cacheHint:u});var a,u;return Object.assign(Object.assign({},n),{get:()=>function(t,e,n){const a=e[0].dims,u=e[1].dims,l=r.BroadcastUtil.calcShape(a,u,!0);if(!l)throw new Error("Can't use matmul on the given tensors");const d=(0,s.getCoordsDataType)(l.length),h=(0,s.getGlChannels)(),{activationFunction:p,applyActivation:f}=(0,o.getActivationSnippet)(n),g=e.length>2,m=g?"value += getBiasForMatmul();":"",_=g?`${c(d,h,e[2].dims,l,!1)}`:"",b=l.length,y=a.length,w=u.length,v=`\n    ${p}\n    ${_}\n    float process(int indices[${b}]) {\n        int a[${y}];\n        int b[${w}];\n        bcastMatmulIndices_A(indices, a);\n        bcastMatmulIndices_B(indices, b);\n\n        float value;\n        for (int k=0; k<${a[a.length-1]}; ++k) {\n            a[${y-1}] = k;\n            b[${w-2}] = k;\n            value += _A(a) * _B(b);\n        }\n        ${m}\n        ${f}\n        return value;\n    }`;return 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process(int[${s}] indices) {\n          return padA(indices);\n      }`;return{name:"Pad",inputNames:["A"],inputTypes:[o.TextureType.unpacked],output:{dims:r,type:e.type,textureType:o.TextureType.unpacked},shaderSource:a}},c=t=>{if(!t||1!==t.length)throw new Error("Pad requires 1 input");if("float32"!==t[0].type&&"float64"!==t[0].type)throw new Error("Invalid input type.")},d=t=>{if(!t||2!==t.length&&3!==t.length)throw new Error("Pad requires 2 or 3 inputs");if("int32"!==t[1].type)throw new Error("Invalid input type.");if(t.length>=3&&"string"===t[2].type)throw new Error("Invalid input type.")},h=(t,e,n)=>{const r=(0,s.getGlsl)(t.session.backend.glContext.version),[a,u]=t.calculateTextureWidthAndHeight(e.dims,o.TextureType.unpacked),l=i.ShapeUtil.computeStrides(e.dims);switch(n.mode){case"constant":return p(r,e.dims,l,a,u,n.pads,n.value);case"reflect":return f(r,e.dims,l,a,u,n.pads);case"edge":return g(r,e.dims,l,a,u,n.pads);default:throw new Error("Invalid 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return;\n    }\n    for (int i = 0; i < ${t} - 1; ++i) {\n      indices[i] = offset / strides[i];\n      offset -= indices[i] * strides[i];\n    }\n    indices[${t} - 1] = offset;\n  }`},4939:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.reduceLogSumSquare=e.reduceLogSum=e.reduceProd=e.reduceMin=e.reduceMax=e.reduceMean=e.reduceSum=e.parseReduceAttributes=void 0;const r=n(246),i=n(782),s=n(2517),o=n(2039),a=(t,e,n,r,i)=>{l(e);const s={name:r,inputNames:["A"],inputTypes:[o.TextureType.unpacked]};return[t.run(Object.assign(Object.assign({},s),{cacheHint:n.cacheKey,get:()=>u(t,e,n,r,i,s)}),e)]};e.parseReduceAttributes=t=>{const e=t.attributes.getInts("axes",[]),n=1===t.attributes.getInt("keepdims",1);return(0,r.createAttributeWithCacheKey)({axes:e,keepDims:n})};const u=(t,e,n,r,i,a)=>{const u=[],l=e[0].dims.length||1,c=[],d=s.ShapeUtil.normalizeAxes(n.axes,e[0].dims.length),h=i(e,d);let p=h[1];for(let t=0;t<e[0].dims.length;t++)d.indexOf(t)>=0||0===d.length?(n.keepDims&&u.push(1),p=`\n          for(int j${t} = 0; j${t} < ${e[0].dims[t]}; j${t}++) {\n            inputIdx[${t}] = j${t};\n            ${p}\n          }`):(c.push(`inputIdx[${t}] = outputIdx[${u.length}];`),u.push(e[0].dims[t]));const f=`\n      float process(int outputIdx[${u.length||1}]) {\n        float value;                 // final result\n        int inputIdx[${l}];      // addressing input data\n        ${c.join("\n")}\n        ${h[0]}       // init ops for reduce max/min\n        ${p}\n        ${h[2]}       // final computation for reduce mean\n        return value;\n      }`;return Object.assign(Object.assign({},a),{output:{dims:u,type:e[0].type,textureType:o.TextureType.unpacked},shaderSource:f})},l=t=>{if(!t||1!==t.length)throw new Error("Reduce op requires 1 input.");if(-1===i.NUMBER_TYPES.indexOf(t[0].type))throw new Error("Invalid input type.")};e.reduceSum=(t,e,n)=>a(t,e,n,"ReduceSum",(()=>["value = 0.0;","value += _A(inputIdx);",""])),e.reduceMean=(t,e,n)=>a(t,e,n,"ReduceMean",((t,e)=>{let n=1;for(let r=0;r<t[0].dims.length;r++)(e.indexOf(r)>=0||0===e.length)&&(n*=t[0].dims[r]);return["value = 0.0;","value += _A(inputIdx);",`value /= ${n}.;`]})),e.reduceMax=(t,e,n)=>a(t,e,n,"ReduceMax",((t,e)=>{const n=[];for(let r=0;r<t[0].dims.length;r++)(e.indexOf(r)>=0||0===e.length)&&n.push(`inputIdx[${r}] = 0;`);return[`${n.join("\n")}\nvalue = _A(inputIdx);`,"value = max(value, _A(inputIdx));",""]})),e.reduceMin=(t,e,n)=>a(t,e,n,"ReduceMin",((t,e)=>{const n=[];for(let r=0;r<t[0].dims.length;r++)(e.indexOf(r)>=0||0===e.length)&&n.push(`inputIdx[${r}] = 0;`);return[`${n.join("\n")}\nvalue = _A(inputIdx);`,"value = min(value, _A(inputIdx));",""]})),e.reduceProd=(t,e,n)=>a(t,e,n,"ReduceProd",(()=>["value = 1.0;","value *= _A(inputIdx);",""])),e.reduceLogSum=(t,e,n)=>a(t,e,n,"ReduceLogSum",(()=>["value = 0.0;","value += _A(inputIdx);","value = log(value);"])),e.reduceLogSumSquare=(t,e,n)=>a(t,e,n,"ReduceLogSumSquare",(()=>["float t; value = 0.0;","t = _A(inputIdx); value += t * t;",""]))},7019:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.isReshapeCheap=e.processDims3D=e.createPackedReshape3DProgramInfoLoader=void 0;const r=n(2517),i=n(5060),s=n(2039),o=n(2827);e.createPackedReshape3DProgramInfoLoader=(t,e,n)=>{const a=(t=>({name:"Reshape (packed)",inputTypes:[s.TextureType.packed],inputNames:["A"],cacheHint:`${t}`}))(n);return Object.assign(Object.assign({},a),{get:()=>((t,e,n,a)=>{const u=e.dims,l=a;let c="";for(let t=0;t<4;t++){let e="";switch(t){case 0:e="outputCoords = rc;";break;case 1:e="outputCoords = ivec3(rc.x, rc.y+1, rc.z);";break;case 2:e="outputCoords = ivec3(rc.x, rc.y, rc.z+1);";break;case 3:e="outputCoords = ivec3(rc.x, rc.y+1, rc.z+1);";break;default:throw new Error}c+=`\n        ${e}\n        ${t>0?"if(outputCoords.y < rows && outputCoords.z < cols){":""}\n          int flattenedIndex = getFlattenedIndex(outputCoords);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flattenedIndex);\n          vec2 innerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result[${t}] = getChannel(getA(inputRC.x, inputRC.y, inputRC.z), innerDims);\n\n        ${t>0?"}":""}\n      `}const d=(0,i.getGlsl)(t.session.backend.glContext.version),h=`\n      ${function(t){const e=r.ShapeUtil.computeStrides(t),n=["b","r","c"],i="index";return`\n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      ${e.map(((t,r)=>`int ${n[r]} = ${i} / ${t}; ${r===e.length-1?`int ${n[r+1]} = ${i} - ${n[r]} * ${t}`:`index -= ${n[r]} * ${t}`};`)).join("")}\n      return ivec3(b, r, c);\n    }\n  `}(u)}\n      ${function(t){const e=r.ShapeUtil.computeStrides(t);return`\n  int getFlattenedIndex(ivec3 coords) {\n    // reverse y, z order\n    return coords.x * ${e[0]} + coords.z * ${e[1]} + coords.y;\n  }\n`}(l)}\n      ${(0,o.unpackFromChannel)()}\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.0);\n\n        ivec3 outputCoords;\n        int rows = ${l[2]};\n        int cols = ${l[1]};\n\n        ${c}\n        ${d.output} = result;\n      }\n    `;return Object.assign(Object.assign({},n),{output:{dims:l,type:e.type,textureType:s.TextureType.packed},shaderSource:h,hasMain:!0})})(t,e,a,n)})},e.processDims3D=function(t){if(0===t.length)return[1,1,1];let e=1;for(let n=0;n<t.length-2;++n)e*=t[n];return[e,t.length>1?t[t.length-2]:1,t[t.length-1]]},e.isReshapeCheap=function(t,e){let n=!1;return n=0===t.length||0===e.length||(t.length<2||e.length<2?t[t.length-1]===e[e.length-1]:t[t.length-1]===e[e.length-1]&&t[t.length-2]===e[e.length-2]),n}},718:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.reshape=void 0;const r=n(2517);e.reshape=(t,e)=>{const n=r.ShapeUtil.calculateReshapedDims(e[0].dims,e[1].integerData);return t.session.pack?[t.reshapePacked(e[0],n)]:[t.reshapeUnpacked(e[0],n)]}},2268:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.parseResizeAttributesV11=e.parseResizeAttributesV10=e.resize=void 0;const r=n(5060),i=n(2039),s=n(9390),o=n(2827),a=n(9793),u={name:"Resize",inputNames:["A"],inputTypes:[i.TextureType.packed]};e.resize=(t,e,n)=>((0,a.validateInputs)(e,n),[t.run(Object.assign(Object.assign({},u),{cacheHint:n.cacheKey,get:()=>l(t,e,n)}),e)]),e.parseResizeAttributesV10=t=>(0,a.parseUpsampleAttributes)(t,10),e.parseResizeAttributesV11=t=>(0,a.parseUpsampleAttributes)(t,11);const l=(t,e,n)=>{const a=(0,r.getGlsl)(t.session.backend.glContext.version),[l,d]=c(e,n);if(l.every((t=>1===t))&&"tf_crop_and_resize"!==n.coordinateTransformMode)return Object.assign(Object.assign({},u),{output:{dims:d,type:e[0].type,textureType:i.TextureType.packed},hasMain:!0,shaderSource:`void main() {\n                    vec4 v = ${a.texture2D}(X, TexCoords);\n                    ${a.output} = v;\n                }`});const h=d.length;if(h<2)throw new Error(`output dimension should be at least 2, but got ${h}`);const p=d[h-2],f=d[h-1],g=e[0].dims;if(h!==g.length)throw new Error(`output dimension should match input ${g.length}, but got ${h}`);const m=g[h-2],_=g[h-1],b=l[h-2],y=l[h-1];let w="";if("linear"!==n.mode)throw new Error(`resize (packed) does not support mode: '${n.mode}'`);switch(n.coordinateTransformMode){case"asymmetric":w="\n                    vec4 getSourceFracIndex(ivec4 coords) {\n                        return vec4(coords) / scaleWHWH;\n                    }\n                ";break;case"half_pixel":w="\n                    vec4 getSourceFracIndex(ivec4 coords) {\n                        return (vec4(coords) + 0.5) / scaleWHWH - 0.5;\n                    }\n                ";break;case"pytorch_half_pixel":w=`\n                    vec4 getSourceFracIndex(ivec4 coords) {\n                        vec4 fcoords = vec4(coords);\n                        return vec4(\n                            ${f}.0 > 1.0 ? (fcoords.x + 0.5) / scaleWHWH.x - 0.5 : 0.0,\n                            ${p}.0 > 1.0 ? (fcoords.y + 0.5) / scaleWHWH.y - 0.5 : 0.0,\n                            ${f}.0 > 1.0 ? (fcoords.z + 0.5) / scaleWHWH.z - 0.5 : 0.0,\n                            ${p}.0 > 1.0 ? (fcoords.w + 0.5) / scaleWHWH.w - 0.5 : 0.0\n                          );\n                    }\n                `;break;case"align_corners":w=`\n                    vec4 getSourceFracIndex(ivec4 coords) {\n                        vec4 resized = vec4(${f}.0 - 1.0, ${p}.0 - 1.0, ${f}.0 - 1.0,\n                            ${p}.0 - 1.0);\n                        vec4 original = vec4(${_}.0 - 1.0, ${m}.0 - 1.0, ${_}.0 - 1.0,\n                            ${m}.0 - 1.0);\n                        vec4 new_scale = original / resized;\n                        return vec4(coords) * new_scale;\n                    }\n                `;break;default:throw new Error(`resize (packed) does not support coordinateTransformMode:                                 '${n.coordinateTransformMode}'`)}const v=(0,s.getCoordsDataType)(h),x=`\n            const vec2 inputWH = vec2(${m}.0, ${_}.0);\n            const vec4 scaleWHWH = vec4(float(${b}), float(${y}), float(${b}), float(${y}));\n            ${(0,o.unpackFromChannel)()}\n            ${w}\n            float getAValue(int x10, int r, int c, int d) {\n                return getChannel(getA(x10, r, c, d), vec2(c, d));\n            }\n            void main() {\n                ${v} rc = getOutputCoords();\n\n                int batch = rc[0];\n                int depth = rc[1];\n\n                // retrieve the 4 coordinates that is used in the 4 packed output values.\n                ivec4 coords = ivec4(rc.wz, rc.w + 1, rc.z + 1);\n\n                // calculate the source index in fraction\n                vec4 sourceFrac = getSourceFracIndex(coords);\n\n                // get the lower and upper bound of the 4 values that will be packed into one texel.\n                ivec4 x00 = ivec4(max(sourceFrac.xy, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.xy)));\n                ivec4 x01 = ivec4(max(sourceFrac.xw, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.xw)));\n                ivec4 x10 = ivec4(max(sourceFrac.zy, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.zy)));\n                ivec4 x11 = ivec4(max(sourceFrac.zw, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.zw)));\n\n                bool hasNextRow = rc.w < ${p-1};\n                bool hasNextCol = rc.z < ${f-1};\n\n                // pack x00, x01, x10, x11's top-left corner into one vec4 structure\n                vec4 topLeft = vec4(\n                    getAValue(batch, depth, x00.x, x00.y),\n                    hasNextCol ? getAValue(batch, depth, x01.x, x01.y) : 0.0,\n                    hasNextRow ? getAValue(batch, depth, x10.x, x10.y) : 0.0,\n                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.x, x11.y) : 0.0);\n\n                // pack x00, x01, x10, x11's top-right corner into one vec4 structure\n                vec4 topRight = vec4(\n                    getAValue(batch, depth, x00.x, x00.w),\n                    hasNextCol ? getAValue(batch, depth, x01.x, x01.w) : 0.0,\n                    hasNextRow ? getAValue(batch, depth, x10.x, x10.w) : 0.0,\n                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.x, x11.w) : 0.0);\n\n                // pack x00, x01, x10, x11's bottom-left corner into one vec4 structure\n                vec4 bottomLeft = vec4(\n                    getAValue(batch, depth, x00.z, x00.y),\n                    hasNextCol ? getAValue(batch, depth, x01.z, x01.y) : 0.0,\n                    hasNextRow ? getAValue(batch, depth, x10.z, x10.y) : 0.0,\n                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.z, x11.y) : 0.0);\n\n                // pack x00, x01, x10, x11's bottom-right corner into one vec4 structure\n                vec4 bottomRight = vec4(\n                    getAValue(batch, depth, x00.z, x00.w),\n                    hasNextCol ? getAValue(batch, depth, x01.z, x01.w) : 0.0,\n                    hasNextRow ? getAValue(batch, depth, x10.z, x10.w) : 0.0,\n                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.z, x11.w) : 0.0);\n\n                // calculate the interpolation fraction on u and v direction\n                vec4 frac = vec4(sourceFrac) - floor(sourceFrac);\n                vec4 clampFrac = clamp(frac, vec4(0.0), vec4(1.0));\n\n                vec4 top = mix(topLeft, topRight, clampFrac.ywyw);\n                vec4 bottom = mix(bottomLeft, bottomRight, clampFrac.ywyw);\n                vec4 newValue = mix(top, bottom, clampFrac.xxzz);\n\n                ${a.output} = vec4(newValue);\n            }\n        `;return Object.assign(Object.assign({},u),{output:{dims:d,type:e[0].type,textureType:i.TextureType.packed},hasMain:!0,shaderSource:x})},c=(t,e)=>{const n=t[0].dims;let r,i=e.scales;if(0===i.length){const s=t[e.scalesInputIdx];if(s&&0!==s.size){if(t[e.sizesInputIdx])throw new Error("Only one of scales or sizes must be provided as input.");i=d(s,e.mode,e.isResize)}else{const s=t[e.sizesInputIdx];if(!s||0===s.size)throw new Error("Either scales or sizes MUST be provided as input.");r=Array.from(s.integerData),i=h(r,n,e.mode,e.isResize)}}else if(t[e.sizesInputIdx])throw new Error("Only one of scales or sizes must be provided as input.");const s=r||n.map(((t,e)=>Math.floor(t*i[e])));return[i,s]},d=(t,e,n)=>{const r=Array.from(t.floatData);return(0,a.scalesValidation)(r,e,n),r},h=(t,e,n,r)=>{const i=e.length,s=new Array(i);for(let n=0,r=i;n<r;n++)if(0===e[n]){if(0!==t[n])throw new Error("Input dim is zero but required output dim is non-zero.");s[n]=1}else s[n]=t[n]/e[n];return(0,a.scalesValidation)(s,n,r),s}},8117:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.shape=void 0;const r=n(9162);e.shape=(t,e)=>(i(e),[new r.Tensor([e[0].dims.length],"int32",void 0,void 0,new Int32Array(e[0].dims))]);const i=t=>{if(!t||1!==t.length)throw new Error("Shape requires 1 input.")}},2278:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.sliceV10=e.parseSliceAttributes=e.slice=void 0;const r=n(246),i=n(782),s=n(2517),o=n(2039),a={name:"Slice",inputNames:["A"],inputTypes:[o.TextureType.unpacked]};e.slice=(t,e,n)=>(l(e),[t.run(Object.assign(Object.assign({},a),{cacheHint:n.cacheKey,get:()=>u(t,e[0],n)}),e)]),e.parseSliceAttributes=t=>{const e=t.attributes.getInts("starts"),n=t.attributes.getInts("ends"),i=t.attributes.getInts("axes",[]);return(0,r.createAttributeWithCacheKey)({starts:e,ends:n,axes:i})};const u=(t,e,n)=>{const r=0===n.axes.length?e.dims.slice(0).map(((t,e)=>e)):n.axes,i=s.ShapeUtil.normalizeAxes(r,e.dims.length),u=n.starts.map(((t,n)=>t>e.dims[i[n]]-1?e.dims[i[n]]:s.ShapeUtil.normalizeAxis(t,e.dims[i[n]]))),l=n.ends.map(((t,n)=>t>e.dims[i[n]]-1?e.dims[i[n]]:s.ShapeUtil.normalizeAxis(t,e.dims[i[n]]))),c=e.dims.slice(),d=[];for(let t=0;t<i.length;t++)c[i[t]]=l[t]-u[t],u[t]>0&&d.push(`outputIdx[${i[t]}] += ${u[t]};`);const h=`\n      float process(int outputIdx[${c.length}]) {\n        ${d.join("\n      ")}\n        return _A(outputIdx);\n      }`;return Object.assign(Object.assign({},a),{output:{dims:c,type:e.type,textureType:o.TextureType.unpacked},shaderSource:h})},l=t=>{if(!t||1!==t.length)throw new Error("Slice requires 1 input.");if(-1===i.NUMBER_TYPES.indexOf(t[0].type))throw new Error("Invalid input type.")};e.sliceV10=(t,e)=>{d(e);const n=c(t,e);return[t.run(Object.assign(Object.assign({},a),{cacheHint:n.cacheKey,get:()=>u(t,e[0],n)}),[e[0]])]};const c=(t,e)=>{if(!t.session.isInitializer(e[1].dataId)||!t.session.isInitializer(e[2].dataId)||e.length>=4&&!t.session.isInitializer(e[3].dataId)||e.length>=5&&!t.session.isInitializer(e[4].dataId))throw new Error("dynamic slice attributes are not allowed");if(e.length>=5&&e[4].integerData.some((t=>1!==t)))throw new Error("currently non-1 steps is not supported for Slice");const n=Array.from(e[1].integerData),r=Array.from(e[2].integerData),i=e.length>=4?Array.from(e[3].integerData):[];return{starts:n,ends:r,axes:i,cacheKey:`${i};${n};${r}`}},d=t=>{if(!t||t.length<3||t.length>5)throw new Error("Invalid input number.");if("int32"!==t[1].type||1!==t[1].dims.length)throw new Error("Invalid input type.");if("int32"!==t[2].type||1!==t[2].dims.length)throw new Error("Invalid input type.");if(t.length>=4&&("int32"!==t[3].type||1!==t[3].dims.length))throw new Error("Invalid input type.");if(t.length>=5&&("int32"!==t[4].type||1!==t[4].dims.length))throw new Error("Invalid input type.")}},5524:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.softmaxV13=e.parseSoftmaxAttributesV13=e.parseSoftmaxAttributes=e.softmax=void 0;const r=n(246),i=n(2517),s=n(5060),o=n(2039),a=n(3738),u={name:"SoftmaxComputeMax",inputNames:["A"],inputTypes:[o.TextureType.unpacked]},l={name:"SoftmaxComputeScale",inputNames:["A","Max"],inputTypes:[o.TextureType.unpacked,o.TextureType.unpacked]},c={name:"SoftMax",inputNames:["A","Max","Norm"],inputTypes:[o.TextureType.unpacked,o.TextureType.unpacked,o.TextureType.unpacked]};e.softmax=(t,e,n)=>{g(e);const r=e[0].dims.slice(),s=i.ShapeUtil.normalizeAxis(n.axis,r.length),o=i.ShapeUtil.sizeToDimension(r,s),a=i.ShapeUtil.sizeFromDimension(r,s);return d(t,e,n,o,a)},e.parseSoftmaxAttributes=t=>(0,r.createAttributeWithCacheKey)({axis:t.attributes.getInt("axis",1)}),e.parseSoftmaxAttributesV13=t=>(0,r.createAttributeWithCacheKey)({axis:t.attributes.getInt("axis",-1)}),e.softmaxV13=(t,e,n)=>{g(e);const s=e[0].dims.slice(),o=i.ShapeUtil.normalizeAxis(n.axis,s.length),u=s.length,l=o!==u-1,c=[];let h,p=[],f=[];l&&(p=Array.from({length:u}).map(((t,e)=>e)),p[o]=u-1,p[u-1]=o,p.map((t=>c.push(s[t]))),h=(0,r.createAttributeWithCacheKey)({perm:p}),f=(0,a.transpose)(t,e,h));const m=l?i.ShapeUtil.sizeToDimension(c,u-1):i.ShapeUtil.sizeToDimension(s,u-1),_=l?i.ShapeUtil.sizeFromDimension(c,u-1):i.ShapeUtil.sizeFromDimension(s,u-1),b=d(t,l?f:e,n,m,_);return l?(0,a.transpose)(t,b,h):b};const d=(t,e,n,r,i)=>{const s=h(t,e[0],r,i,[r]),o=t.run(Object.assign(Object.assign({},u),{cacheHint:n.cacheKey,get:()=>s}),e),a=p(t,e[0],r,i,s.output.dims,[r]),d=t.run(Object.assign(Object.assign({},l),{cacheHint:n.cacheKey,get:()=>a}),[e[0],o]),g=f(t,e[0],r,i,s.output.dims,a.output.dims);return[t.run(Object.assign(Object.assign({},c),{cacheHint:n.cacheKey,get:()=>g}),[e[0],o,d])]},h=(t,e,n,r,i)=>{const[a,l]=t.calculateTextureWidthAndHeight(e.dims,o.TextureType.unpacked),c=i.length;if(n<1||r<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(1!==i.length)throw new Error("Dimensionality of the output should be 1");if(i[0]!==n)throw new Error("Shape of the output should be equal to logical row count");const d=(0,s.getGlsl)(t.session.backend.glContext.version),h=`\n      float process(int[${c}] indices) {\n        int logical_row_start_offset = indices[0] * ${r};\n\n        float max = getColorAsFloat(${d.texture2D}(A, offsetToCoords(logical_row_start_offset, ${a},\n        ${l} )));\n        for(int i=1; i<${r}; ++i)\n        {\n          float current = getColorAsFloat(${d.texture2D}(A, offsetToCoords(logical_row_start_offset + i,\n            ${a}, ${l})));\n          if(current > max)\n          max = current;\n        }\n\n        return max;\n      }`;return Object.assign(Object.assign({},u),{output:{dims:i,type:e.type,textureType:o.TextureType.unpacked},shaderSource:h})},p=(t,e,n,r,i,a)=>{const[u,c]=t.calculateTextureWidthAndHeight(e.dims,o.TextureType.unpacked),d=a.length;if(n<1||r<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(1!==a.length)throw new Error("Dimensionality of the output should be 1");if(a[0]!==n)throw new Error("Shape of the output should be equal to logical row count");if(1!==i.length)throw new Error("Dimensionality of the intermediate results should be 1");if(i[0]!==n)throw new Error("Shape of the intermediate results should be equal to logical row count");const h=`\n      float process(int[${d}] indices) {\n        int logical_row_start_offset = indices[0] * ${r};\n\n        float norm_factor = 0.0;\n        float max = _Max(indices);\n        for(int i=0; i<${r}; ++i)\n        {\n          norm_factor += exp(getColorAsFloat(${(0,s.getGlsl)(t.session.backend.glContext.version).texture2D}(A, offsetToCoords(logical_row_start_offset + i,\n            ${u}, ${c}))) - max);\n        }\n\n        return norm_factor;\n      }`;return Object.assign(Object.assign({},l),{output:{dims:a,type:e.type,textureType:o.TextureType.unpacked},shaderSource:h})},f=(t,e,n,r,i,s)=>{const[a,u]=t.calculateTextureWidthAndHeight(e.dims,o.TextureType.unpacked),l=e.dims.length;if(n<1||r<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(1!==i.length||1!==s.length)throw new Error("Dimensionality of the intermediate results should be 1");if(i[0]!==n||s[0]!==n)throw new Error("Shape of the intermediate results should be equal to logical 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n=1;n<t.length;n++){if(e!==t[n].dims.length)throw new Error("Input shapes are mismatched.");for(let r=0;r<e;r++)if(t[0].dims[r]!==t[n].dims[r])throw new Error("Input shapes are not matched.")}if("float32"!==t[0].type&&"float64"!==t[0].type)throw new Error("Invalid input type.");for(let e=1;e<t.length;e++)if(t[0].type!==t[e].type)throw new Error("Input types are not matched.")}},5723:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.tile=void 0;const r=n(782),i=n(2039);e.tile=(t,e)=>{o(e);const n={name:"Tile",inputNames:["A"],inputTypes:[i.TextureType.unpacked]};return[t.run(Object.assign(Object.assign({},n),{get:()=>s(t,e,n)}),e)]};const s=(t,e,n)=>{const r=e[0].dims.slice(),s=new Array(r.length),o=[];for(let t=0;t<r.length;t++)s[t]=r[t]*e[1].numberData[t],o.push(`inputIdx[${t}] = int(mod(float(outputIdx[${t}]), ${r[t]}.));`);const a=s.length,u=`\n      float process(int outputIdx[${a}]) {\n        int inputIdx[${a}];\n        ${o.join("\n")}\n        return 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r=n(246),i=n(2517),s=n(2039),o={name:"Transpose",inputNames:["A"],inputTypes:[s.TextureType.unpacked]};e.transpose=(t,e,n)=>(d(e),[t.run(Object.assign(Object.assign({},o),{cacheHint:n.cacheKey,get:()=>a(t,e[0],n.perm)}),e)]),e.parseTransposeAttributes=t=>(0,r.createAttributeWithCacheKey)({perm:t.attributes.getInts("perm",[])});const a=(t,e,n)=>{const r=e.dims;n=u(r,n);const i=l(r,n),a=r.length,d=`\n      ${c("perm",n,a)}\n      float process(int indices[${a}]) {\n        int a[${a}];\n        perm(a, indices);\n        return _A(a);\n      }`;return Object.assign(Object.assign({},o),{output:{dims:i,type:e.type,textureType:s.TextureType.unpacked},shaderSource:d})},u=(t,e)=>(e&&e.length!==t.length&&(e=[...t.keys()].reverse()),e),l=(t,e)=>(e=u(t,e),i.ShapeUtil.sortBasedOnPerm(t,e)),c=(t,e,n)=>{const r=[];r.push(`void ${t}(out int a[${n}], int src[${n}]) {`);for(let t=0;t<n;++t)r.push(`\ta[${e[t]}]=src[${t}];`);return r.push("\t}"),r.join("\n")},d=t=>{if(!t||1!==t.length)throw new 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vec4 ${t}_(vec4 v) {\n    return -v;\n  }\n  `,name:t,type:s.FunctionType.ValueBased}}function x(){const t="not";return{body:`\n  float ${t}_(float a) {\n    return float( ! bool(a) );\n  }\n  bool ${t}_(bool a) {\n    return !a;\n  }\n  vec4 ${t}_(vec4 v) {\n    return vec4(!bool(v.x), !bool(v.y), !bool(v.z), !bool(v.w));\n  }\n  bvec4 ${t}_(bvec4 v) {\n    return bvec4(!v.x, !v.y, !v.z, !v.w);\n  }\n  `,name:t,type:s.FunctionType.ValueBased}}function T(){return I("sin")}function S(){const t="relu";return{body:`\n  float ${t}_(float a) {\n    return max( a, 0.0 );\n  }\n  vec4 ${t}_(vec4 v) {\n    return max( v, 0.0 );\n  }\n  `,name:t,type:s.FunctionType.ValueBased}}function A(){const t="sigmoid";return{body:`\n  float ${t}_(float a) {\n    return 1.0 / (1.0 + exp(-a));\n  }\n  vec4 ${t}_(vec4 v) {\n    return 1.0 / (1.0 + exp(-v));\n  }\n  `,name:t,type:s.FunctionType.ValueBased}}function k(){return I("sqrt")}function O(){return I("tan")}function E(){const t="tanh";return{body:`\n  float ${t}_(float a) {\n    a = clamp(a, -10., 10.);\n    a = exp(2.*a);\n    return (a - 1.) / (a + 1.);\n  }\n  vec4 ${t}_(vec4 v) {\n    v = clamp(v, -10., 10.);\n    v = exp(2.*v);\n    return (v - 1.) / (v + 1.);\n  }\n  `,name:t,type:s.FunctionType.ValueBased}}function I(t){return{body:`\n  float ${t}_(float a) {\n    return ${t}(a);\n  }\n  vec4 ${t}_(vec4 v) {\n    return ${t}(v);\n  }\n  `,name:t,type:s.FunctionType.ValueBased}}e.glslAbs=u,e.glslAcos=l,e.glslAsin=c,e.glslAtan=d,e.glslCeil=h,e.glslCos=p,e.glslElu=f,e.glslExp=g,e.glslFloor=m,e.glslClip=_,e.glslIdentity=b,e.glslLeakyRelu=y,e.glslLog=w,e.glslNeg=v,e.glslNot=x,e.glslSin=T,e.glslRelu=S,e.glslSigmoid=A,e.glslSqrt=k,e.glslTan=O,e.glslTanh=E;const P=(t,e,n,r)=>{const i=t.session.pack?a.TextureType.packed:a.TextureType.unpacked,s={name:n.name,inputTypes:[i],inputNames:["A"],cacheHint:r};return Object.assign(Object.assign({},s),{get:()=>((t,e,n,r)=>{const 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n=e.length>=3?e[1].numberData[0]:i.MIN_CLIP,s=e.length>=3?e[2].numberData[0]:i.MAX_CLIP;return(0,r.createAttributeWithCacheKey)({min:n,max:s})};e.ceil=(t,e)=>[t.run(P(t,e[0],h()),e)],e.cos=(t,e)=>[t.run(P(t,e[0],p()),e)],e.elu=(t,e,n)=>[t.run(P(t,e[0],f(n.alpha),n.cacheKey),e)],e.parseEluAttributes=t=>(0,r.createAttributeWithCacheKey)({alpha:t.attributes.getFloat("alpha",1)}),e.exp=(t,e)=>[t.run(P(t,e[0],g()),e)],e.floor=(t,e)=>[t.run(P(t,e[0],m()),e)],e.identity=(t,e)=>[t.run(P(t,e[0],b()),e)],e.leakyRelu=(t,e,n)=>[t.run(P(t,e[0],y(n.alpha),n.cacheKey),e)],e.parseLeakyReluAttributes=t=>(0,r.createAttributeWithCacheKey)({alpha:t.attributes.getFloat("alpha",.01)}),e.log=(t,e)=>[t.run(P(t,e[0],w()),e)],e.neg=(t,e)=>[t.run(P(t,e[0],v()),e)],e.not=(t,e)=>[t.run(P(t,e[0],x()),e)],e.relu=(t,e)=>[t.run(P(t,e[0],S()),e)],e.sigmoid=(t,e)=>[t.run(P(t,e[0],A()),e)],e.sin=(t,e)=>[t.run(P(t,e[0],T()),e)],e.sqrt=(t,e)=>[t.run(P(t,e[0],k()),e)],e.tan=(t,e)=>[t.run(P(t,e[0],O()),e)],e.tanh=(t,e)=>[t.run(P(t,e[0],E()),e)]},5611:(t,e,n)=>{"use 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if (index_of_input_dim2 == (${e[0].dims[2]} - 1)) {\n        // It's the end in dimension 2\n        x01 = x00;\n        end_of_dim2 = true;\n      } else {\n        x01 = getInputFloat(input_index + input_pitches[2]);\n      }\n\n      if (index_of_input_dim3 == (input_pitches[2] - 1)) {\n        // It's the end in dimension 3\n        x10 = x00;\n        x11 = x01;\n      }\n      else {\n        x10 = getInputFloat(input_index + 1);\n        x11 = end_of_dim2 ? x10 : getInputFloat(input_index + input_pitches[2] + 1);\n      }\n\n      float y0 = x00 + float(y_offset) * (x01 - x00) / float(scales[2]);\n      float y1 = x10 + float(y_offset) * (x11 - x10) / float(scales[2]);\n      return y0 + float(x_offset) * (y1 - y0) / float(scales[3]);\n    }`:`\n    ${m}\n    float process(int indices[2]) {\n      int input_index = 0;\n      int output_index = coordsToOffset(TexCoords, ${c}, ${d});\n\n      ${g}\n\n      int m;\n      int index_of_dim0, index_of_dim1;\n      index_of_dim0 = 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i=this.idleTextures.get(n);i||(i=[],this.idleTextures.set(n,i)),i.push(t.texture)}}}n&&!e||(r.Logger.verbose("TextureManager",`Deleting texture of size ${t.width}x${t.height}`),this.glContext.deleteTexture(t.texture))}toTensorData(t,e){switch(t){case"int16":return e instanceof Int16Array?e:Int16Array.from(e);case"int32":return e instanceof Int32Array?e:Int32Array.from(e);case"int8":return e instanceof Int8Array?e:Int8Array.from(e);case"uint16":return e instanceof Uint16Array?e:Uint16Array.from(e);case"uint32":return e instanceof Uint32Array?e:Uint32Array.from(e);case"uint8":case"bool":return e instanceof Uint8Array?e:Uint8Array.from(e);case"float32":return e instanceof Float32Array?e:Float32Array.from(e);case"float64":return e instanceof Float64Array?e:Float64Array.from(e);default:throw new Error(`TensorData type ${t} is not supported`)}}toTextureData(t,e){if(e)return e instanceof Float32Array?e:new Float32Array(e)}toEncoderType(t){return"float"}clearActiveTextures(){this.glContext.clearActiveTextures()}}},2039:(t,e)=>{"use strict";var n;Object.defineProperty(e,"__esModule",{value:!0}),e.TextureType=void 0,(n=e.TextureType||(e.TextureType={}))[n.unpacked=0]="unpacked",n[n.unpackedReversed=1]="unpackedReversed",n[n.packed=2]="packed",n[n.downloadUint8AsFloat=3]="downloadUint8AsFloat",n[n.packedLastDimension=4]="packedLastDimension"},9390:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.getGlChannels=e.getCoordsDataType=e.getSqueezedParams=e.squeezeInputShape=e.generateShaderFuncNameFromInputSamplerNameAtOutCoords=e.generateShaderFuncNameFromInputSamplerName=e.repeatedTry=e.getPackedShape=void 0;const r=n(2517);e.getPackedShape=function(t){const e=t.length;return t.slice(0,e-1).concat(t[e-1]/4)},e.repeatedTry=async function(t,e=(t=>0),n){return new Promise(((r,i)=>{let s=0;const o=()=>{if(t())return void r();s++;const 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i=this.gl,s=i.createTexture();i.bindTexture(i.TEXTURE_2D,s),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,i.NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,i.NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,i.CLAMP_TO_EDGE);const o=r?n.encode(r,t*e):null;return i.texImage2D(i.TEXTURE_2D,0,n.internalFormat,t,e,0,n.format,n.textureType,o),this.checkError(),s}updateTexture(t,e,n,r,i){const s=this.gl;s.bindTexture(s.TEXTURE_2D,t);const o=r.encode(i,e*n);s.texSubImage2D(s.TEXTURE_2D,0,0,0,e,n,r.format,r.textureType,o),this.checkError()}attachFramebuffer(t,e,n){const r=this.gl;r.bindTexture(r.TEXTURE_2D,t),r.bindFramebuffer(r.FRAMEBUFFER,this.framebuffer),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,t,0),this.checkError(),r.viewport(0,0,e,n),r.scissor(0,0,e,n)}readTexture(t,e,n,r,i,s){const o=this.gl;s||(s=1),this.frameBufferBound||this.attachFramebuffer(t,e,n);const a=this.getEncoder(i,s),u=a.allocate(e*n);return o.bindTexture(o.TEXTURE_2D,t),o.framebufferTexture2D(o.FRAMEBUFFER,o.COLOR_ATTACHMENT0,o.TEXTURE_2D,t,0),o.readPixels(0,0,e,n,o.RGBA,a.textureType,u),this.checkError(),a.decode(u,r)}isFramebufferReady(){return!0}getActiveTexture(){const t=this.gl;return"TEXTURE"+(t.getParameter(this.gl.ACTIVE_TEXTURE)-t.TEXTURE0)}getTextureBinding(){return this.gl.getParameter(this.gl.TEXTURE_BINDING_2D)}getFramebufferBinding(){return this.gl.getParameter(this.gl.FRAMEBUFFER_BINDING)}setVertexAttributes(t,e){const n=this.gl;n.vertexAttribPointer(t,3,n.FLOAT,!1,20,0),n.enableVertexAttribArray(t),-1!==e&&(n.vertexAttribPointer(e,2,n.FLOAT,!1,20,12),n.enableVertexAttribArray(e)),this.checkError()}createProgram(t,e){const n=this.gl,r=n.createProgram();return n.attachShader(r,t),n.attachShader(r,e),n.linkProgram(r),r}compileShader(t,e){const n=this.gl,r=n.createShader(e);if(!r)throw new Error(`createShader() returned null with type ${e}`);if(n.shaderSource(r,t),n.compileShader(r),!1===n.getShaderParameter(r,n.COMPILE_STATUS))throw new Error(`Failed to compile shader: ${n.getShaderInfoLog(r)}\nShader source:\n${t}`);return r}deleteShader(t){this.gl.deleteShader(t)}bindTextureToUniform(t,e,n){const r=this.gl;r.activeTexture(r.TEXTURE0+e),this.checkError(),r.bindTexture(r.TEXTURE_2D,t),this.checkError(),r.uniform1i(n,e),this.checkError()}draw(){this.gl.drawArrays(this.gl.TRIANGLE_STRIP,0,4),this.checkError()}checkError(){if(o.env.debug){const t=this.gl,e=t.getError();let n="";switch(e){case t.NO_ERROR:return;case t.INVALID_ENUM:n="INVALID_ENUM";break;case t.INVALID_VALUE:n="INVALID_VALUE";break;case t.INVALID_OPERATION:n="INVALID_OPERATION";break;case t.INVALID_FRAMEBUFFER_OPERATION:n="INVALID_FRAMEBUFFER_OPERATION";break;case t.OUT_OF_MEMORY:n="OUT_OF_MEMORY";break;case t.CONTEXT_LOST_WEBGL:n="CONTEXT_LOST_WEBGL";break;default:n=`Unknown WebGL Error: ${e.toString(16)}`}throw new Error(n)}}deleteTexture(t){this.gl.deleteTexture(t)}deleteProgram(t){this.gl.deleteProgram(t)}getEncoder(t,e,n=0){if(2===this.version)return new a.RedFloat32DataEncoder(this.gl,e);switch(t){case"float":return 1===n||this.isRenderFloat32Supported?new a.RGBAFloatDataEncoder(this.gl,e):new a.RGBAFloatDataEncoder(this.gl,e,this.textureHalfFloatExtension.HALF_FLOAT_OES);case"int":throw new Error("not implemented");case"byte":return new a.Uint8DataEncoder(this.gl,e);default:throw new Error(`Invalid dataType: ${t}`)}}clearActiveTextures(){const t=this.gl;for(let e=0;e<this.maxTextureImageUnits;++e)t.activeTexture(t.TEXTURE0+e),t.bindTexture(t.TEXTURE_2D,null)}dispose(){if(this.disposed)return;const t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,null),t.deleteFramebuffer(this.framebuffer),t.bindBuffer(t.ARRAY_BUFFER,null),t.deleteBuffer(this.vertexbuffer),t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null),t.finish(),this.disposed=!0}createDefaultGeometry(){return new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0])}createVertexbuffer(){const t=this.gl,e=t.createBuffer();if(!e)throw new Error("createBuffer() returned null");const n=this.createDefaultGeometry();return t.bindBuffer(t.ARRAY_BUFFER,e),t.bufferData(t.ARRAY_BUFFER,n,t.STATIC_DRAW),this.checkError(),e}createFramebuffer(){const t=this.gl.createFramebuffer();if(!t)throw new Error("createFramebuffer returned null");return t}queryVitalParameters(){const t=this.gl;if(this.isFloatTextureAttachableToFrameBuffer=this.checkFloatTextureAttachableToFrameBuffer(),this.isRenderFloat32Supported=this.checkRenderFloat32(),this.isFloat32DownloadSupported=this.checkFloat32Download(),1===this.version&&!this.textureHalfFloatExtension&&!this.isRenderFloat32Supported)throw new Error("both float32 and float16 TextureType are not supported");this.isBlendSupported=!this.isRenderFloat32Supported||this.checkFloat32Blend(),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE),this.maxTextureImageUnits=t.getParameter(t.MAX_TEXTURE_IMAGE_UNITS),this.version}getExtensions(){2===this.version?(this.colorBufferFloatExtension=this.gl.getExtension("EXT_color_buffer_float"),this.disjointTimerQueryWebgl2Extension=this.gl.getExtension("EXT_disjoint_timer_query_webgl2")):(this.textureFloatExtension=this.gl.getExtension("OES_texture_float"),this.textureHalfFloatExtension=this.gl.getExtension("OES_texture_half_float"))}checkFloatTextureAttachableToFrameBuffer(){const t=this.gl,e=t.createTexture();t.bindTexture(t.TEXTURE_2D,e);const n=2===this.version?t.RGBA32F:t.RGBA;t.texImage2D(t.TEXTURE_2D,0,n,1,1,0,t.RGBA,t.FLOAT,null);const r=t.createFramebuffer();t.bindFramebuffer(t.FRAMEBUFFER,r),t.framebufferTexture2D(t.FRAMEBUFFER,t.COLOR_ATTACHMENT0,t.TEXTURE_2D,e,0);const i=t.checkFramebufferStatus(t.FRAMEBUFFER)===t.FRAMEBUFFER_COMPLETE;return t.bindTexture(t.TEXTURE_2D,null),t.bindFramebuffer(t.FRAMEBUFFER,null),t.deleteTexture(e),t.deleteFramebuffer(r),i}checkRenderFloat32(){if(2===this.version){if(!this.colorBufferFloatExtension)return!1}else if(!this.textureFloatExtension)return!1;return this.isFloatTextureAttachableToFrameBuffer}checkFloat32Download(){if(2===this.version){if(!this.colorBufferFloatExtension)return!1}else{if(!this.textureFloatExtension)return!1;if(!this.gl.getExtension("WEBGL_color_buffer_float"))return!1}return this.isFloatTextureAttachableToFrameBuffer}checkFloat32Blend(){const t=this.gl;let e,n,r,i,s;try{e=t.createTexture(),n=t.createFramebuffer(),t.bindTexture(t.TEXTURE_2D,e);const o=2===this.version?t.RGBA32F:t.RGBA;return t.texImage2D(t.TEXTURE_2D,0,o,1,1,0,t.RGBA,t.FLOAT,null),t.bindFramebuffer(t.FRAMEBUFFER,n),t.framebufferTexture2D(t.FRAMEBUFFER,t.COLOR_ATTACHMENT0,t.TEXTURE_2D,e,0),t.enable(t.BLEND),r=t.createShader(t.VERTEX_SHADER),!!r&&(t.shaderSource(r,"void main(){}"),t.compileShader(r),i=t.createShader(t.FRAGMENT_SHADER),!!i&&(t.shaderSource(i,"precision highp float;void main(){gl_FragColor=vec4(0.5);}"),t.compileShader(i),s=t.createProgram(),!!s&&(t.attachShader(s,r),t.attachShader(s,i),t.linkProgram(s),t.useProgram(s),t.drawArrays(t.POINTS,0,1),t.getError()===t.NO_ERROR)))}finally{t.disable(t.BLEND),s&&t.deleteProgram(s),r&&t.deleteShader(r),i&&t.deleteShader(i),n&&(t.bindFramebuffer(t.FRAMEBUFFER,null),t.deleteFramebuffer(n)),e&&(t.bindTexture(t.TEXTURE_2D,null),t.deleteTexture(e))}}beginTimer(){if(2===this.version&&this.disjointTimerQueryWebgl2Extension){const t=this.gl,e=this.disjointTimerQueryWebgl2Extension,n=t.createQuery();return t.beginQuery(e.TIME_ELAPSED_EXT,n),n}throw new Error("WebGL1 profiling currently not supported.")}endTimer(){if(2!==this.version||!this.disjointTimerQueryWebgl2Extension)throw new Error("WebGL1 profiling currently not supported");{const t=this.gl,e=this.disjointTimerQueryWebgl2Extension;t.endQuery(e.TIME_ELAPSED_EXT)}}isTimerResultAvailable(t){let e=!1,n=!1;if(2!==this.version||!this.disjointTimerQueryWebgl2Extension)throw new Error("WebGL1 profiling currently not supported");{const r=this.gl,i=this.disjointTimerQueryWebgl2Extension;e=r.getQueryParameter(t,r.QUERY_RESULT_AVAILABLE),n=r.getParameter(i.GPU_DISJOINT_EXT)}return e&&!n}getTimerResult(t){let e=0;if(2!==this.version)throw new Error("WebGL1 profiling currently not supported");{const n=this.gl;e=n.getQueryParameter(t,n.QUERY_RESULT),n.deleteQuery(t)}return e/1e6}async waitForQueryAndGetTime(t){return await(0,u.repeatedTry)((()=>this.isTimerResultAvailable(t))),this.getTimerResult(t)}async createAndWaitForFence(){const t=this.createFence(this.gl);return this.pollFence(t)}createFence(t){let e;const n=t,r=n.fenceSync(n.SYNC_GPU_COMMANDS_COMPLETE,0);return t.flush(),e=null===r?()=>!0:()=>{const t=n.clientWaitSync(r,0,0);return t===n.ALREADY_SIGNALED||t===n.CONDITION_SATISFIED},{query:r,isFencePassed:e}}async pollFence(t){return new Promise((e=>{this.addItemToPoll((()=>t.isFencePassed()),(()=>e()))}))}pollItems(){const t=l(this.itemsToPoll.map((t=>t.isDoneFn)));for(let e=0;e<=t;++e){const{resolveFn:t}=this.itemsToPoll[e];t()}this.itemsToPoll=this.itemsToPoll.slice(t+1)}async addItemToPoll(t,e){this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1||await(0,u.repeatedTry)((()=>(this.pollItems(),0===this.itemsToPoll.length)))}}},1036:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.ExecutionPlan=void 0;const r=n(6231);class i{constructor(t,e){this.op=t,this.node=e}}e.ExecutionPlan=class{constructor(t,e,n){this.graph=t,this.profiler=n,this.initialize(e)}initialize(t){this.profiler.event("session","ExecutionPlan.initialize",(()=>{const e=this.graph.getNodes();if(e.length!==t.length)throw new Error("The size of nodes and OPs do not match.");this._ops=t.map(((t,n)=>new i(t,e[n]))),this.reset(),this._starter=[],this._ops.forEach(((t,e)=>{let n=!0;for(const e of t.node.inputs)if(!this._values[e]&&-1===this.graph.getInputIndices().indexOf(e)){n=!1;break}n&&this._starter.push(e)}))}))}reset(){this._values=this.graph.getValues().map((t=>t.tensor))}async execute(t,e){return this.profiler.event("session","ExecutionPlan.execute",(async()=>{this.reset();const n=t.createInferenceHandler(),i=this.graph.getInputIndices();if(e.length!==i.length)throw new Error(`number of input tensors don't match the number of inputs to the model: actual: ${e.length} expected: ${i.length}`);e.forEach(((t,e)=>{const n=i[e];this._values[n]=t}));const s=this._starter.slice(0),o=this.graph.getValues(),a=this.graph.getNodes();let u=0;for(;u<s.length;){const t=s[u++],e=this._ops[t],i=e.node.inputs.map((t=>this._values[t]));if(-1!==i.indexOf(void 0))throw new Error(`unresolved input detected: op: ${e.node}`);const l=i;r.Logger.verbose("ExecPlan",`Runing op:${e.node.name} (${l.map(((t,n)=>`'${e.node.inputs[n]}': ${t.type}[${t.dims.join(",")}]`)).join(", ")})`);const c=await this.profiler.event("node",e.node.name,(async()=>e.op.impl(n,l,e.op.context)));if(c.length!==e.node.outputs.length)throw new Error("the size of output does not match model definition.");c.forEach(((t,n)=>{const r=e.node.outputs[n];if(this._values[r])throw new Error(`output [${r}] already has value: op:${e.node.name}`);this._values[r]=t}));const d=new Set;c.forEach(((t,n)=>{const r=e.node.outputs[n];for(const t of o[r].to){const e=a[t];let n=!0;for(const t of e.inputs)if(!this._values[t]){n=!1;break}n&&d.add(t)}})),s.push(...d)}const l=[];for(let t=0;t<this.graph.getOutputIndices().length;t++){const e=this.graph.getOutputIndices()[t],n=this._values[e];if(void 0===n)throw new Error(`required output [${e}] does not have value`);0===e?await n.getData():n.data,l.push(n)}return r.Logger.verbose("ExecPlan","disposing of inferenceHandler"),n.dispose(),l}))}}},7070:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.Graph=void 0;const r=n(1446),i=n(7778),s=n(9395),o=n(9162),a=n(2517);var u=s.onnxruntime.experimental.fbs;e.Graph={from:(t,e)=>new d(t,e)};class l{constructor(t){this._from=void 0,this._to=[],this.tensor=void 0,this.type=void 0,t&&(this.type=a.ProtoUtil.tensorValueTypeFromProto(t.type.tensorType))}get from(){return this._from}get to(){return this._to}}class c{constructor(t,e){t instanceof r.onnx.NodeProto?(this.name=t.name,this.opType=t.opType,this.attributes=new i.Attribute(t.attribute)):t instanceof u.Node&&(this.name=null!=e?e:t.name(),this.opType=t.opType(),this.attributes=new i.Attribute(a.ProtoUtil.tensorAttributesFromORTFormat(t))),this.inputs=[],this.outputs=[],this.executeNode=!0}}class d{constructor(t,e){if(!t)throw new TypeError("graph is empty");this.buildGraph(t),this.transformGraph(e),this.checkIsAcyclic()}getInputIndices(){return this._allInputIndices}getInputNames(){return this._allInputNames}getOutputIndices(){return this._allOutputIndices}getOutputNames(){return this._allOutputNames}getValues(){return this._allData}getNodes(){return this._nodes}buildGraph(t){if(t instanceof r.onnx.GraphProto)this.buildGraphFromOnnxFormat(t);else{if(!(t instanceof u.Graph))throw new TypeError("Graph type is not supported.");this.buildGraphFromOrtFormat(t)}}buildGraphFromOnnxFormat(t){const e=new Map;this._allData=[],this._allInputIndices=[],this._allInputNames=[],this._allOutputIndices=[],this._allOutputNames=[],this._nodes=[];const n=new Map;if(!t.input)throw new Error("missing information in graph: input");const r=[];for(const n of t.input){if(e.has(n.name))throw new Error(`duplicated input name: ${n.name}`);const t=this._allData.push(new l(n))-1;e.set(n.name,t),r.push(n.name)}if(!t.initializer)throw new Error("missing information in graph: initializer");for(const n of t.initializer){let t=e.get(n.name);if(void 0===t){const r=new l;r.type={shape:{dims:a.ProtoUtil.tensorDimsFromProto(n.dims)},tensorType:a.ProtoUtil.tensorDataTypeFromProto(n.dataType)},t=this._allData.push(r)-1,e.set(n.name,t)}this._allData[t]._from=-1,this._allData[t].tensor=o.Tensor.fromProto(n)}for(let t=0;t<this._allData.length;t++)this._allData[t].tensor||(this._allInputIndices.push(t),this._allInputNames.push(r[t]));if(!t.output)throw new Error("missing information in graph: output");for(const n of t.output){if(e.has(n.name))throw new Error(`duplicated output name: ${n.name}`);const t=this._allData.push(new l(n))-1;e.set(n.name,t),this._allOutputIndices.push(t),this._allOutputNames.push(n.name)}if(!t.node)throw new Error("missing information in graph: node");for(const e of t.node){if(!e.name)for(let t=0;;t++){const r=`unnamed_${e.opType}_${t}`;if(!n.has(r)){e.name=r;break}}if(n.has(e.name))throw new Error(`duplicated node name: ${e.name}`);const t=this._nodes.push(new c(e))-1;n.set(e.name,t)}for(let n=0;n<this._nodes.length;n++){const r=this._nodes[n],i=t.node[n];if(!i.output)throw new Error(`missing output for node: ${i.name}`);for(const t of i.output){let s=e.get(t);if(void 0===s&&(s=this._allData.push(new l)-1,e.set(t,s)),r.outputs.push(s),void 0!==this._allData[s]._from)throw new Error(`multiple nodes output to one data value: ${s}`);if(this._allData[s]._from=n,"Constant"===i.opType){if(!i.attribute||1!==i.attribute.length||!i.attribute[0].t)throw new Error("missing attributes or missing tensor value in attributes for this Constant operator");if(!i.output||1!==i.output.length)throw new Error("missing output or incorrect number of outputs for this Constant operator");r.outputs.pop(),r.executeNode=!1,this._allData[s]._from=-1,this._allData[s].tensor=o.Tensor.fromProto(i.attribute[0].t)}}}for(let n=0;n<this._nodes.length;n++){const r=this._nodes[n],i=t.node[n];if(!i.input)throw new Error(`missing input for node: ${i.name}`);for(const t of i.input){const s=e.get(t);if(void 0===s){if(""===t&&3===i.input.length&&"Resize"===i.opType)continue;throw new Error(`unrecognized input '${t}' for node: ${i.name}`)}r.inputs.push(s),this._allData[s]._to.push(n)}}return!0}buildGraphFromOrtFormat(t){var e,n,r;const i=new Map;this._allData=[],this._allInputIndices=[],this._allInputNames=[],this._allOutputIndices=[],this._allOutputNames=[],this._nodes=[];const s=new Map,d=[];for(let s=0;s<t.inputsLength();s++){const o=t.inputs(s);if(i.has(o))throw new Error(`duplicated input name: ${o}`);for(let s=0;s<t.nodeArgsLength();s++)if((null===(e=t.nodeArgs(s))||void 0===e?void 0:e.name())===o){const e=new l;if((null===(r=null===(n=t.nodeArgs(s))||void 0===n?void 0:n.type())||void 0===r?void 0:r.valueType())!==u.TypeInfoValue.tensor_type)throw new Error("Unexpected value type for the nodeArg.");const c=t.nodeArgs(s).type().value(new u.TensorTypeAndShape),h=a.ProtoUtil.tensorDataTypeFromProto(c.elemType()),p=c.shape(),f=[];for(let t=0;t<p.dimLength();t++)f.push(a.LongUtil.longToNumber(p.dim(t).value().dimValue()));e.type={shape:{dims:f},tensorType:h};const g=this._allData.push(e)-1;i.set(o,g),d.push(o)}}for(let e=0;e<t.initializersLength();e++){const n=t.initializers(e);let r=i.get(n.name());if(void 0===r){const t=new l,e=a.ProtoUtil.tensorDimsFromORTFormat(n),s=a.ProtoUtil.tensorDataTypeFromProto(n.dataType());t.type={shape:{dims:e},tensorType:s},r=this._allData.push(t)-1,i.set(n.name(),r)}this._allData[r]._from=-1,this._allData[r].tensor=o.Tensor.fromOrtTensor(n)}for(let t=0;t<this._allData.length;t++)this._allData[t].tensor||(this._allInputIndices.push(t),this._allInputNames.push(d[t]));for(let e=0;e<t.outputsLength();e++){const n=t.outputs(e);if(i.has(n))throw new Error(`duplicated output name: ${n}`);const r=this._allData.push(new l)-1;i.set(n,r),this._allOutputIndices.push(r),this._allOutputNames.push(n)}if(!t.nodes)throw new Error("missing information in graph: node");for(let e=0;e<t.nodesLength();e++){const n=t.nodes(e);let r=n.name();if(!r)for(let t=0;r=`unnamed_${n.opType()}_${t}`,s.has(r);t++);if(s.has(r))throw new Error(`duplicated node name: ${r}`);const i=this._nodes.push(new c(n,r))-1;s.set(r,i)}for(let e=0;e<this._nodes.length;e++){const n=this._nodes[e],r=t.nodes(e);if(null==r)throw new Error(`No node exists at index ${e}`);if(0===(null==r?void 0:r.outputsLength()))throw new Error(`missing output for node: ${r.name}`);for(let t=0;t<(null==r?void 0:r.outputsLength());t++){const s=null==r?void 0:r.outputs(t);let a=i.get(s);if(void 0===a&&(a=this._allData.push(new l)-1,i.set(s,a)),n.outputs.push(a),void 0!==this._allData[a]._from)throw new Error(`multiple nodes output to one data value: ${a}`);if(this._allData[a]._from=e,"Constant"===r.opType()){if(1!==r.attributesLength()||!r.attributes(0).t())throw new Error("missing attributes or missing tensor value in attributes for this Constant operator");if(1!==r.outputsLength())throw new Error("missing output or incorrect number of outputs for this Constant operator");n.outputs.pop(),n.executeNode=!1,this._allData[a]._from=-1,this._allData[a].tensor=o.Tensor.fromOrtTensor(r.attributes(0).t())}}}for(let e=0;e<this._nodes.length;e++){const n=this._nodes[e],r=t.nodes(e);if(0===r.inputsLength())throw new Error(`missing input for node: ${r.name}`);for(let t=0;t<r.inputsLength();t++){const s=r.inputs(t),o=i.get(s);if(void 0===o)throw new Error(`unrecognized input '${s}' for node: ${r.name()}`);n.inputs.push(o),this._allData[o]._to.push(e)}}}checkIsAcyclic(){const t=new Set;this._allInputIndices.forEach((e=>{this._allData[e]._to.forEach((e=>{t.add(e)}))}));const e=Array.from(t),n=new Array(this._nodes.length).fill("white");for(;e.length>0;){const t=e.pop();"gray"===n[t]?n[t]="black":(e.push(t),n[t]="gray",this._nodes[t].outputs.forEach((r=>{const i=this._allData[r];if(void 0!==i.tensor)throw new Error("node outputs should not be initialized");if(i._from!==t)throw new Error("from property of the Value object doesn't match index of Node being processed");i._to.forEach((t=>{if("gray"===n[t])throw new Error("model graph is cyclic");"white"===n[t]&&e.push(t)}))})))}}transformGraph(t){this.removeAllIdentityNodes(),this.removeAllDropoutNodes(),this.fuseConvActivationNodes(),t&&t.transformGraph(this),this.finalizeGraph()}finalizeGraph(){let t=0;for(let e=0;e<this._nodes.length;e++)this._nodes[e].executeNode?t>0&&(this._nodes[e].inputs.forEach((n=>{const r=this._allData[n]._to.indexOf(e+t);-1!==r&&(this._allData[n]._to[r]=e)})),this._nodes[e].outputs.forEach((n=>{this._allData[n]._from&&this._allData[n]._from===e+t&&(this._allData[n]._from=e)}))):(t++,this._nodes[e].outputs.forEach((t=>{this._allData[t]._from=-2})),this._nodes.splice(e,1),e--);t=0;for(let e=0;e<this._allData.length;e++)if(-2!==this._allData[e].from||-1!==this._allOutputIndices.indexOf(e+t)){if(t>0){let n=-1;void 0!==this._allData[e].from&&-1!==this._allData[e].from?(n=this._nodes[this._allData[e].from].outputs.indexOf(e+t),-1!==n&&(this._nodes[this._allData[e].from].outputs[n]=e)):(n=this._allInputIndices.indexOf(e+t),-1!==n&&(this._allInputIndices[n]=e)),this._allData[e].to.forEach((r=>{n=this._nodes[r].inputs.indexOf(e+t),-1!==n&&(this._nodes[r].inputs[n]=e)})),0===this._allData[e].to.length&&(n=this._allOutputIndices.indexOf(e+t),-1!==n&&(this._allOutputIndices[n]=e))}}else t++,this._allData.splice(e,1),e--}deleteNode(t){const e=this._nodes[t];if(e.outputs.length>1)for(let t=1;t<e.outputs.length;t++)if(this._allData[e.outputs[t]].to.length>0)throw new Error("Node deletion with more than one output connected to other nodes is not supported. ");e.executeNode=!1;const n=e.inputs[0],r=e.outputs[0],i=this._allData[r].to,s=this._allData[n].to.indexOf(t);if(-1===s)throw new Error("The Value object doesn't have the current Node in it's 'to' property ");this._allData[n].to.splice(s,1),this._allData[r]._to=[];const o=this._allOutputIndices.indexOf(r);if(-1!==o&&(this._allOutputIndices[o]=n),i&&i.length>0)for(const t of i){const e=this._nodes[t].inputs.indexOf(r);if(-1===e)throw new Error("The Node object doesn't have the output Value in it's 'inputs' property ");this._nodes[t].inputs[e]=n,this._allData[n].to.push(t)}}removeAllDropoutNodes(){let t=0;for(const e of this._nodes){if("Dropout"===e.opType){if(1!==e.inputs.length)throw new Error("Dropout nodes should only contain one input. ");if(1!==e.outputs.length&&2!==e.outputs.length)throw new Error("Dropout nodes should contain either 1 or 2 output(s)");if(2===e.outputs.length&&0!==this._allData[e.outputs[1]]._to.length)throw new Error("Dropout nodes's second output should not be referenced by other nodes");this.deleteNode(t)}t++}}removeAllIdentityNodes(){let t=0;for(const e of this._nodes)"Identity"===e.opType&&this.deleteNode(t),t++}isActivation(t){switch(t.opType){case"Relu":case"Sigmoid":case"Clip":return!0;default:return!1}}fuseConvActivationNodes(){for(const t of this._nodes)if("Conv"===t.opType){const e=this._allData[t.outputs[0]]._to;if(1===e.length&&this.isActivation(this._nodes[e[0]])){const n=this._nodes[e[0]];if("Clip"===n.opType)if(1===n.inputs.length)try{t.attributes.set("activation_params","floats",[n.attributes.getFloat("min"),n.attributes.getFloat("max")])}catch(e){t.attributes.set("activation_params","floats",[a.MIN_CLIP,a.MAX_CLIP])}else{if(!(n.inputs.length>=3&&void 0!==this._allData[n.inputs[1]].tensor&&void 0!==this._allData[n.inputs[2]].tensor))continue;t.attributes.set("activation_params","floats",[this._allData[n.inputs[1]].tensor.floatData[0],this._allData[n.inputs[2]].tensor.floatData[0]])}t.attributes.set("activation","string",n.opType),this.deleteNode(e[0])}}}}},6231:(t,e)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.now=e.Profiler=e.Logger=void 0;const n={verbose:1e3,info:2e3,warning:4e3,error:5e3,fatal:6e3},r={none:new class{log(t,e,n){}},console:new class{log(t,e,n){console.log(`${this.color(t)} ${n?""+n+" ":""}${e}`)}color(t){switch(t){case"verbose":return"v";case"info":return"i";case"warning":return"w";case"error":return"e";case"fatal":return"f";default:throw new Error(`unsupported severity: ${t}`)}}}},i={provider:"console",minimalSeverity:"warning",logDateTime:!0,logSourceLocation:!1};let s={"":i};function o(t,e,n,r){if(void 0===e)return 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addMaxNodeIndex(t,e){t.addFieldInt32(3,e,0)}static addNodeEdges(t,e){t.addFieldOffset(4,e,0)}static createNodeEdgesVector(t,e){t.startVector(4,e.length,4);for(let n=e.length-1;n>=0;n--)t.addOffset(e[n]);return t.endVector()}static startNodeEdgesVector(t,e){t.startVector(4,e,4)}static addInputs(t,e){t.addFieldOffset(5,e,0)}static createInputsVector(t,e){t.startVector(4,e.length,4);for(let n=e.length-1;n>=0;n--)t.addOffset(e[n]);return t.endVector()}static startInputsVector(t,e){t.startVector(4,e,4)}static addOutputs(t,e){t.addFieldOffset(6,e,0)}static createOutputsVector(t,e){t.startVector(4,e.length,4);for(let n=e.length-1;n>=0;n--)t.addOffset(e[n]);return t.endVector()}static startOutputsVector(t,e){t.startVector(4,e,4)}static addSparseInitializers(t,e){t.addFieldOffset(7,e,0)}static createSparseInitializersVector(t,e){t.startVector(4,e.length,4);for(let n=e.length-1;n>=0;n--)t.addOffset(e[n]);return t.endVector()}static startSparseInitializersVector(t,e){t.startVector(4,e,4)}static endGraph(t){return t.endObject()}static createGraph(t,e,r,i,s,o,a,u,l){return n.startGraph(t),n.addInitializers(t,e),n.addNodeArgs(t,r),n.addNodes(t,i),n.addMaxNodeIndex(t,s),n.addNodeEdges(t,o),n.addInputs(t,a),n.addOutputs(t,u),n.addSparseInitializers(t,l),n.endGraph(t)}}e.Graph=n}(e.fbs||(e.fbs={}))}(t.experimental||(t.experimental={}))}(e.onnxruntime||(e.onnxruntime={})),function(t){!function(e){!function(e){class n{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsModel(t,e){return(e||new n).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsModel(t,e){return t.setPosition(t.position()+r.flatbuffers.SIZE_PREFIX_LENGTH),(e||new n).__init(t.readInt32(t.position())+t.position(),t)}irVersion(){let t=this.bb.__offset(this.bb_pos,4);return t?this.bb.readInt64(this.bb_pos+t):this.bb.createLong(0,0)}opsetImport(e,n){let r=this.bb.__offset(this.bb_pos,6);return r?(n||new t.experimental.fbs.OperatorSetId).__init(this.bb.__indirect(this.bb.__vector(this.bb_pos+r)+4*e),this.bb):null}opsetImportLength(){let t=this.bb.__offset(this.bb_pos,6);return t?this.bb.__vector_len(this.bb_pos+t):0}producerName(t){let e=this.bb.__offset(this.bb_pos,8);return e?this.bb.__string(this.bb_pos+e,t):null}producerVersion(t){let e=this.bb.__offset(this.bb_pos,10);return e?this.bb.__string(this.bb_pos+e,t):null}domain(t){let e=this.bb.__offset(this.bb_pos,12);return e?this.bb.__string(this.bb_pos+e,t):null}modelVersion(){let t=this.bb.__offset(this.bb_pos,14);return t?this.bb.readInt64(this.bb_pos+t):this.bb.createLong(0,0)}docString(t){let e=this.bb.__offset(this.bb_pos,16);return e?this.bb.__string(this.bb_pos+e,t):null}graph(e){let n=this.bb.__offset(this.bb_pos,18);return n?(e||new t.experimental.fbs.Graph).__init(this.bb.__indirect(this.bb_pos+n),this.bb):null}graphDocString(t){let e=this.bb.__offset(this.bb_pos,20);return e?this.bb.__string(this.bb_pos+e,t):null}static startModel(t){t.startObject(9)}static addIrVersion(t,e){t.addFieldInt64(0,e,t.createLong(0,0))}static addOpsetImport(t,e){t.addFieldOffset(1,e,0)}static createOpsetImportVector(t,e){t.startVector(4,e.length,4);for(let n=e.length-1;n>=0;n--)t.addOffset(e[n]);return t.endVector()}static startOpsetImportVector(t,e){t.startVector(4,e,4)}static addProducerName(t,e){t.addFieldOffset(2,e,0)}static addProducerVersion(t,e){t.addFieldOffset(3,e,0)}static addDomain(t,e){t.addFieldOffset(4,e,0)}static addModelVersion(t,e){t.addFieldInt64(5,e,t.createLong(0,0))}static addDocString(t,e){t.addFieldOffset(6,e,0)}static addGraph(t,e){t.addFieldOffset(7,e,0)}static addGraphDocString(t,e){t.addFieldOffset(8,e,0)}static endModel(t){return t.endObject()}static createModel(t,e,r,i,s,o,a,u,l,c){return n.startModel(t),n.addIrVersion(t,e),n.addOpsetImport(t,r),n.addProducerName(t,i),n.addProducerVersion(t,s),n.addDomain(t,o),n.addModelVersion(t,a),n.addDocString(t,u),n.addGraph(t,l),n.addGraphDocString(t,c),n.endModel(t)}}e.Model=n}(e.fbs||(e.fbs={}))}(t.experimental||(t.experimental={}))}(e.onnxruntime||(e.onnxruntime={})),function(t){!function(t){!function(t){class e{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsKernelCreateInfos(t,n){return(n||new e).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsKernelCreateInfos(t,n){return t.setPosition(t.position()+r.flatbuffers.SIZE_PREFIX_LENGTH),(n||new e).__init(t.readInt32(t.position())+t.position(),t)}nodeIndices(t){let e=this.bb.__offset(this.bb_pos,4);return e?this.bb.readUint32(this.bb.__vector(this.bb_pos+e)+4*t):0}nodeIndicesLength(){let t=this.bb.__offset(this.bb_pos,4);return t?this.bb.__vector_len(this.bb_pos+t):0}nodeIndicesArray(){let t=this.bb.__offset(this.bb_pos,4);return t?new Uint32Array(this.bb.bytes().buffer,this.bb.bytes().byteOffset+this.bb.__vector(this.bb_pos+t),this.bb.__vector_len(this.bb_pos+t)):null}kernelDefHashes(t){let e=this.bb.__offset(this.bb_pos,6);return e?this.bb.readUint64(this.bb.__vector(this.bb_pos+e)+8*t):this.bb.createLong(0,0)}kernelDefHashesLength(){let t=this.bb.__offset(this.bb_pos,6);return t?this.bb.__vector_len(this.bb_pos+t):0}static startKernelCreateInfos(t){t.startObject(2)}static addNodeIndices(t,e){t.addFieldOffset(0,e,0)}static createNodeIndicesVector(t,e){t.startVector(4,e.length,4);for(let n=e.length-1;n>=0;n--)t.addInt32(e[n]);return t.endVector()}static startNodeIndicesVector(t,e){t.startVector(4,e,4)}static addKernelDefHashes(t,e){t.addFieldOffset(1,e,0)}static createKernelDefHashesVector(t,e){t.startVector(8,e.length,8);for(let n=e.length-1;n>=0;n--)t.addInt64(e[n]);return t.endVector()}static startKernelDefHashesVector(t,e){t.startVector(8,e,8)}static endKernelCreateInfos(t){return t.endObject()}static createKernelCreateInfos(t,n,r){return e.startKernelCreateInfos(t),e.addNodeIndices(t,n),e.addKernelDefHashes(t,r),e.endKernelCreateInfos(t)}}t.KernelCreateInfos=e}(t.fbs||(t.fbs={}))}(t.experimental||(t.experimental={}))}(e.onnxruntime||(e.onnxruntime={})),function(t){!function(e){!function(e){class n{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsSubGraphSessionState(t,e){return(e||new n).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsSubGraphSessionState(t,e){return t.setPosition(t.position()+r.flatbuffers.SIZE_PREFIX_LENGTH),(e||new n).__init(t.readInt32(t.position())+t.position(),t)}graphId(t){let e=this.bb.__offset(this.bb_pos,4);return e?this.bb.__string(this.bb_pos+e,t):null}sessionState(e){let n=this.bb.__offset(this.bb_pos,6);return n?(e||new t.experimental.fbs.SessionState).__init(this.bb.__indirect(this.bb_pos+n),this.bb):null}static startSubGraphSessionState(t){t.startObject(2)}static addGraphId(t,e){t.addFieldOffset(0,e,0)}static addSessionState(t,e){t.addFieldOffset(1,e,0)}static endSubGraphSessionState(t){let e=t.endObject();return t.requiredField(e,4),e}static createSubGraphSessionState(t,e,r){return n.startSubGraphSessionState(t),n.addGraphId(t,e),n.addSessionState(t,r),n.endSubGraphSessionState(t)}}e.SubGraphSessionState=n}(e.fbs||(e.fbs={}))}(t.experimental||(t.experimental={}))}(e.onnxruntime||(e.onnxruntime={})),function(t){!function(e){!function(e){class n{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsSessionState(t,e){return(e||new n).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsSessionState(t,e){return t.setPosition(t.position()+r.flatbuffers.SIZE_PREFIX_LENGTH),(e||new n).__init(t.readInt32(t.position())+t.position(),t)}kernels(e){let n=this.bb.__offset(this.bb_pos,4);return n?(e||new t.experimental.fbs.KernelCreateInfos).__init(this.bb.__indirect(this.bb_pos+n),this.bb):null}subGraphSessionStates(e,n){let r=this.bb.__offset(this.bb_pos,6);return r?(n||new t.experimental.fbs.SubGraphSessionState).__init(this.bb.__indirect(this.bb.__vector(this.bb_pos+r)+4*e),this.bb):null}subGraphSessionStatesLength(){let t=this.bb.__offset(this.bb_pos,6);return t?this.bb.__vector_len(this.bb_pos+t):0}static startSessionState(t){t.startObject(2)}static addKernels(t,e){t.addFieldOffset(0,e,0)}static addSubGraphSessionStates(t,e){t.addFieldOffset(1,e,0)}static createSubGraphSessionStatesVector(t,e){t.startVector(4,e.length,4);for(let n=e.length-1;n>=0;n--)t.addOffset(e[n]);return t.endVector()}static startSubGraphSessionStatesVector(t,e){t.startVector(4,e,4)}static endSessionState(t){return t.endObject()}static createSessionState(t,e,r){return n.startSessionState(t),n.addKernels(t,e),n.addSubGraphSessionStates(t,r),n.endSessionState(t)}}e.SessionState=n}(e.fbs||(e.fbs={}))}(t.experimental||(t.experimental={}))}(e.onnxruntime||(e.onnxruntime={})),function(t){!function(e){!function(e){class n{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsInferenceSession(t,e){return(e||new n).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsInferenceSession(t,e){return t.setPosition(t.position()+r.flatbuffers.SIZE_PREFIX_LENGTH),(e||new n).__init(t.readInt32(t.position())+t.position(),t)}static bufferHasIdentifier(t){return t.__has_identifier("ORTM")}ortVersion(t){let e=this.bb.__offset(this.bb_pos,4);return e?this.bb.__string(this.bb_pos+e,t):null}model(e){let n=this.bb.__offset(this.bb_pos,6);return n?(e||new t.experimental.fbs.Model).__init(this.bb.__indirect(this.bb_pos+n),this.bb):null}sessionState(e){let n=this.bb.__offset(this.bb_pos,8);return n?(e||new t.experimental.fbs.SessionState).__init(this.bb.__indirect(this.bb_pos+n),this.bb):null}static startInferenceSession(t){t.startObject(3)}static addOrtVersion(t,e){t.addFieldOffset(0,e,0)}static addModel(t,e){t.addFieldOffset(1,e,0)}static addSessionState(t,e){t.addFieldOffset(2,e,0)}static endInferenceSession(t){return t.endObject()}static finishInferenceSessionBuffer(t,e){t.finish(e,"ORTM")}static finishSizePrefixedInferenceSessionBuffer(t,e){t.finish(e,"ORTM",!0)}static createInferenceSession(t,e,r,i){return n.startInferenceSession(t),n.addOrtVersion(t,e),n.addModel(t,r),n.addSessionState(t,i),n.endInferenceSession(t)}}e.InferenceSession=n}(e.fbs||(e.fbs={}))}(t.experimental||(t.experimental={}))}(e.onnxruntime||(e.onnxruntime={}))},7448:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.OnnxjsSessionHandler=void 0;const r=n(1670),i=n(9162);e.OnnxjsSessionHandler=class{constructor(t){this.session=t,this.inputNames=this.session.inputNames,this.outputNames=this.session.outputNames}async dispose(){}async run(t,e,n){const s=new Map;for(const e in t)if(Object.hasOwnProperty.call(t,e)){const n=t[e];s.set(e,new i.Tensor(n.dims,n.type,void 0,void 0,n.data))}const o=await this.session.run(s),a={};return o.forEach(((t,e)=>{a[e]=new r.Tensor(t.type,t.data,t.dims)})),a}startProfiling(){this.session.startProfiling()}endProfiling(){this.session.endProfiling()}}},6919:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.Session=void 0;const r=n(7067),i=n(1296),s=n(7091),o=n(1036),a=n(6231),u=n(2644);e.Session=class{constructor(t={}){this._initialized=!1,this.backendHint=t.backendHint,this.profiler=a.Profiler.create(t.profiler),this.context={profiler:this.profiler,graphInputTypes:[],graphInputDims:[]}}get inputNames(){return this._model.graph.getInputNames()}get outputNames(){return this._model.graph.getOutputNames()}startProfiling(){this.profiler.start()}endProfiling(){this.profiler.stop()}async loadModel(t,e,n){await this.profiler.event("session","Session.loadModel",(async()=>{const o=await(0,s.resolveBackend)(this.backendHint);if(this.sessionHandler=o.createSessionHandler(this.context),this._model=new u.Model,"string"==typeof t){const e=t.endsWith(".ort");if("undefined"==typeof fetch){const n=await(0,i.promisify)(r.readFile)(t);this.initialize(n,e)}else{const n=await fetch(t),r=await n.arrayBuffer();this.initialize(new Uint8Array(r),e)}}else if(ArrayBuffer.isView(t))this.initialize(t);else{const r=new Uint8Array(t,e||0,n||t.byteLength);this.initialize(r)}}))}initialize(t,e){if(this._initialized)throw new Error("already initialized");this.profiler.event("session","Session.initialize",(()=>{const n=this.sessionHandler.transformGraph?this.sessionHandler:void 0;this._model.load(t,n,e),this.sessionHandler.onGraphInitialized&&this.sessionHandler.onGraphInitialized(this._model.graph),this.initializeOps(this._model.graph),this._executionPlan=new o.ExecutionPlan(this._model.graph,this._ops,this.profiler)})),this._initialized=!0}async run(t){if(!this._initialized)throw new Error("session not initialized yet");return this.profiler.event("session","Session.run",(async()=>{const e=this.normalizeAndValidateInputs(t),n=await this._executionPlan.execute(this.sessionHandler,e);return this.createOutput(n)}))}normalizeAndValidateInputs(t){const e=this._model.graph.getInputNames();if(Array.isArray(t)){if(t.length!==e.length)throw new Error(`incorrect input array length: expected ${e.length} but got ${t.length}`)}else{if(t.size!==e.length)throw new Error(`incorrect input map size: expected ${e.length} but got ${t.size}`);const n=new Array(t.size);let r=0;for(let i=0;i<e.length;++i){const s=t.get(e[i]);if(!s)throw new Error(`missing input tensor for: '${name}'`);n[r++]=s}t=n}if(this.context.graphInputTypes&&0!==this.context.graphInputTypes.length&&this.context.graphInputDims&&0!==this.context.graphInputDims.length)this.validateInputTensorDims(this.context.graphInputDims,t,!1);else{const e=this._model.graph.getInputIndices(),n=this._model.graph.getValues(),r=new Array(e.length);for(let i=0;i<e.length;++i){const s=n[e[i]];r[i]=s.type.shape.dims,this.context.graphInputTypes.push(s.type.tensorType),this.context.graphInputDims.push(t[i].dims)}this.validateInputTensorDims(r,t,!0)}return this.validateInputTensorTypes(this.context.graphInputTypes,t),t}validateInputTensorTypes(t,e){for(let n=0;n<e.length;n++){const r=t[n],i=e[n].type;if(r!==i)throw new Error(`input tensor[${n}] check failed: expected type '${r}' but got ${i}`)}}validateInputTensorDims(t,e,n){for(let r=0;r<e.length;r++){const i=t[r],s=e[r].dims;if(!this.compareTensorDims(i,s,n))throw new Error(`input tensor[${r}] check failed: expected shape '[${i.join(",")}]' but got [${s.join(",")}]`)}}compareTensorDims(t,e,n){if(t.length!==e.length)return!1;for(let r=0;r<t.length;++r)if(t[r]!==e[r]&&(!n||0!==t[r]))return!1;return!0}createOutput(t){const e=this._model.graph.getOutputNames();if(t.length!==e.length)throw new Error("expected number of outputs do not match number of generated outputs");const n=new Map;for(let r=0;r<e.length;++r)n.set(e[r],t[r]);return n}initializeOps(t){const e=t.getNodes();this._ops=new Array(e.length);for(let n=0;n<e.length;n++)this._ops[n]=this.sessionHandler.resolve(e[n],this._model.opsets,t)}}},9162:function(t,e,n){"use strict";var r=this&&this.__importDefault||function(t){return t&&t.__esModule?t:{default:t}};Object.defineProperty(e,"__esModule",{value:!0}),e.Tensor=void 0;const i=n(3442),s=r(n(3720)),o=n(1446),a=n(9395),u=n(2517);var l=a.onnxruntime.experimental.fbs;class c{get data(){if(void 0===this.cache){const t=this.dataProvider(this.dataId);if(t.length!==this.size)throw new Error("Length of data provided by the Data Provider is inconsistent with the dims of this Tensor.");this.cache=t}return this.cache}get stringData(){if("string"!==this.type)throw new TypeError("data type is not string");return this.data}get integerData(){switch(this.type){case"uint8":case"int8":case"uint16":case"int16":case"int32":case"uint32":case"bool":return this.data;default:throw new TypeError("data type is not integer (uint8, int8, uint16, int16, int32, uint32, bool)")}}get floatData(){switch(this.type){case"float32":case"float64":return this.data;default:throw new TypeError("data type is not float (float32, float64)")}}get numberData(){if("string"!==this.type)return this.data;throw new TypeError("type cannot be non-number (string)")}get(t){return this.data[u.ShapeUtil.indicesToOffset(t,this.strides)]}set(t,e){this.data[u.ShapeUtil.indicesToOffset(t,this.strides)]=e}async getData(){return void 0===this.cache&&(this.cache=await this.asyncDataProvider(this.dataId)),this.cache}get strides(){return this._strides||(this._strides=u.ShapeUtil.computeStrides(this.dims)),this._strides}constructor(t,e,n,r,s,o=i.Guid.create()){this.dims=t,this.type=e,this.dataProvider=n,this.asyncDataProvider=r,this.cache=s,this.dataId=o,this.size=u.ShapeUtil.validateDimsAndCalcSize(t);const a=this.size,l=void 0===n&&void 0===r&&void 0===s;if(void 0!==s&&s.length!==a)throw new RangeError("Input dims doesn't match data length.");if("string"===e){if(!(void 0===s||Array.isArray(s)&&s.every((t=>"string"==typeof t))))throw new TypeError("cache should be a string array");l&&(this.cache=new Array(a))}else{if(void 0!==s){const t=h(e);if(!(s instanceof t))throw new TypeError(`cache should be type ${t.name}`)}if(l){const t=new ArrayBuffer(a*function(t){switch(t){case"bool":case"int8":case"uint8":return 1;case"int16":case"uint16":return 2;case"int32":case"uint32":case"float32":return 4;case"float64":return 8;default:throw new Error(`cannot calculate sizeof() on type ${t}`)}}(e));this.cache=function(t,e){return new(h(e))(t)}(t,e)}}}static fromProto(t){if(!t)throw new Error("cannot construct Value from an empty tensor");const e=u.ProtoUtil.tensorDataTypeFromProto(t.dataType),n=u.ProtoUtil.tensorDimsFromProto(t.dims),r=new c(n,e);if("string"===e)t.stringData.forEach(((t,e)=>{r.data[e]=(0,u.decodeUtf8String)(t)}));else if(t.rawData&&"number"==typeof t.rawData.byteLength&&t.rawData.byteLength>0){const e=r.data,n=new DataView(t.rawData.buffer,t.rawData.byteOffset,t.rawData.byteLength),i=d(t.dataType),s=t.rawData.byteLength/i;if(t.rawData.byteLength%i!=0)throw new Error("invalid buffer length");if(e.length!==s)throw new Error("buffer length mismatch");for(let r=0;r<s;r++){const s=f(n,t.dataType,r*i);e[r]=s}}else{let e;switch(t.dataType){case o.onnx.TensorProto.DataType.FLOAT:e=t.floatData;break;case o.onnx.TensorProto.DataType.INT32:case o.onnx.TensorProto.DataType.INT16:case o.onnx.TensorProto.DataType.UINT16:case o.onnx.TensorProto.DataType.INT8:case o.onnx.TensorProto.DataType.UINT8:case o.onnx.TensorProto.DataType.BOOL:e=t.int32Data;break;case o.onnx.TensorProto.DataType.INT64:e=t.int64Data;break;case o.onnx.TensorProto.DataType.DOUBLE:e=t.doubleData;break;case o.onnx.TensorProto.DataType.UINT32:case o.onnx.TensorProto.DataType.UINT64:e=t.uint64Data;break;default:throw new Error("unspecific error")}if(null==e)throw new Error("failed to populate data from a tensorproto value");const n=r.data;if(n.length!==e.length)throw new Error("array length mismatch");for(let r=0;r<e.length;r++){const i=e[r];s.default.isLong(i)?n[r]=p(i,t.dataType):n[r]=i}}return r}static fromData(t,e,n){return new c(e,n,void 0,void 0,t)}static fromOrtTensor(t){if(!t)throw new Error("cannot construct Value from an empty tensor");const e=u.ProtoUtil.tensorDimsFromORTFormat(t),n=u.ProtoUtil.tensorDataTypeFromProto(t.dataType()),r=new c(e,n);if("string"===n)for(let e=0;e<t.stringDataLength();e++)r.data[e]=t.stringData(e);else if(t.rawDataArray()&&"number"==typeof t.rawDataLength()&&t.rawDataLength()>0){const e=r.data,n=new DataView(t.rawDataArray().buffer,t.rawDataArray().byteOffset,t.rawDataLength()),i=d(t.dataType()),s=t.rawDataLength()/i;if(t.rawDataLength()%i!=0)throw new Error("invalid buffer length");if(e.length!==s)throw new Error("buffer length mismatch");for(let r=0;r<s;r++){const s=f(n,t.dataType(),r*i);e[r]=s}}return r}}function d(t){switch(t){case o.onnx.TensorProto.DataType.UINT8:case o.onnx.TensorProto.DataType.INT8:case o.onnx.TensorProto.DataType.BOOL:return 1;case o.onnx.TensorProto.DataType.UINT16:case o.onnx.TensorProto.DataType.INT16:return 2;case o.onnx.TensorProto.DataType.FLOAT:case o.onnx.TensorProto.DataType.INT32:case o.onnx.TensorProto.DataType.UINT32:return 4;case o.onnx.TensorProto.DataType.INT64:case o.onnx.TensorProto.DataType.DOUBLE:case o.onnx.TensorProto.DataType.UINT64:return 8;default:throw new Error(`cannot calculate sizeof() on type ${o.onnx.TensorProto.DataType[t]}`)}}function h(t){switch(t){case"bool":case"uint8":return Uint8Array;case"int8":return Int8Array;case"int16":return Int16Array;case"uint16":return Uint16Array;case"int32":return Int32Array;case"uint32":return Uint32Array;case"float32":return Float32Array;case"float64":return Float64Array;default:throw new Error("unspecified error")}}function p(t,e){if(e===o.onnx.TensorProto.DataType.INT64||e===l.TensorDataType.INT64){if(t.greaterThanOrEqual(2147483648)||t.lessThan(-2147483648))throw new TypeError("int64 is not supported")}else{if(e!==o.onnx.TensorProto.DataType.UINT32&&e!==l.TensorDataType.UINT32&&e!==o.onnx.TensorProto.DataType.UINT64&&e!==l.TensorDataType.UINT64)throw new TypeError(`not a LONG type: ${o.onnx.TensorProto.DataType[e]}`);if(t.greaterThanOrEqual(4294967296)||t.lessThan(0))throw new TypeError("uint64 is not supported")}return t.toNumber()}function f(t,e,n){switch(e){case o.onnx.TensorProto.DataType.BOOL:case o.onnx.TensorProto.DataType.UINT8:return t.getUint8(n);case o.onnx.TensorProto.DataType.INT8:return t.getInt8(n);case o.onnx.TensorProto.DataType.UINT16:return t.getUint16(n,!0);case o.onnx.TensorProto.DataType.INT16:return t.getInt16(n,!0);case o.onnx.TensorProto.DataType.FLOAT:return t.getFloat32(n,!0);case o.onnx.TensorProto.DataType.INT32:return t.getInt32(n,!0);case o.onnx.TensorProto.DataType.UINT32:return t.getUint32(n,!0);case o.onnx.TensorProto.DataType.INT64:return p(s.default.fromBits(t.getUint32(n,!0),t.getUint32(n+4,!0),!1),e);case o.onnx.TensorProto.DataType.DOUBLE:return t.getFloat64(n,!0);case o.onnx.TensorProto.DataType.UINT64:return p(s.default.fromBits(t.getUint32(n,!0),t.getUint32(n+4,!0),!0),e);default:throw new Error(`cannot read from DataView for type ${o.onnx.TensorProto.DataType[e]}`)}}e.Tensor=c},2517:function(t,e,n){"use strict";var r=this&&this.__importDefault||function(t){return t&&t.__esModule?t:{default:t}};Object.defineProperty(e,"__esModule",{value:!0}),e.decodeUtf8String=e.MAX_CLIP=e.MIN_CLIP=e.PoolConvUtil=e.ReduceUtil=e.SplitUtil=e.MathUtil=e.ShapeUtil=e.LongUtil=e.ProtoUtil=e.GemmUtil=e.arrayCopyHelper=e.BroadcastUtil=e.MatMulUtil=e.ArrayUtil=e.assert=e.checkInputsShape=void 0;const i=n(5686),s=r(n(3720)),o=n(1446),a=n(9162);e.checkInputsShape=function(t,...e){if(!t||t.length!==e.length)return!1;for(let n=0;n<t.length;n++)if(!t[n].dims||t[n].dims.length!==e[n])return!1;return!0},e.assert=function(t,e){if(!t)throw new Error("string"==typeof e?e:e())},e.ArrayUtil=class{static arraysEqual(t,e){if(t.length!==e.length)return!1;for(let n=0;n<t.length;n++)if(t[n]!==e[n])return!1;return!0}};class u{static preprocessInputShapes(t,e){return[1===t.length?[1,t[0]]:t,1===e.length?[e[0],1]:e]}static postprocessOutputShape(t,e,n){1===e&&t.splice(t.length-2,1),1===n&&t.pop()}static calcMatMulShape(t,e){return t[1]!==e[0]?void 0:[t[0],e[1]]}}e.MatMulUtil=u;class l{static calcShape(t,e,n=!1){const r=t.length,i=e.length;if(0===r)return e;if(0===i)return t;const s=Math.max(t.length,e.length),o=new Array(s);if(n){if(r<2||i<2)return;const n=u.calcMatMulShape([t[r-2],t[r-1]],[e[i-2],e[i-1]]);if(void 0===n)return;[o[s-2],o[s-1]]=n}for(let a=n?3:1;a<=s;a++){const n=r-a<0?1:t[r-a],u=i-a<0?1:e[i-a];if(n!==u&&n>1&&u>1)return;o[s-a]=Math.max(n,u)}return o}static index(t,e){const n=new Array(e.length);return l.fillIndex(t,e,n),n}static fillIndex(t,e,n){const r=t.length-e.length;for(let i=0;i<e.length;i++)n[i]=t[r+i]%e[i]}static calc(t,e,n,r,i){const s=l.calcShape(t.dims,e.dims);if(s){if(r&&!h.areEqual(s,t.dims))return;const o=h.size(s),u=r?t:new a.Tensor(s,i||t.type);if(0===s.length)u.set([],n(t.get([]),e.get([])));else{const r=new Array(s.length),i=new Array(t.dims.length),a=new Array(e.dims.length);let c,d=0,h=0,p=!1,f=!1;0===t.dims.length&&(d=t.get([]),p=!0),0===e.dims.length&&(h=e.get([]),f=!0);for(let g=0;g<o;g++){c=g;for(let t=s.length-1;t>=0;t--)r[t]=c%s[t],c=Math.floor(c/s[t]);p||(l.fillIndex(r,t.dims,i),d=t.get(i)),f||(l.fillIndex(r,e.dims,a),h=e.get(a)),u.set(r,n(d,h))}}return u}}static isValidBroadcast(t,e){const n=t.length,r=e.length;if(n>r)return!1;for(let i=1;i<=n;i++)if(1!==t[n-i]&&t[n-i]!==e[r-i])return!1;return!0}static getBroadcastDims(t,e){const n=t.length,r=[];for(let i=0;i<n;i++){const s=n-1-i,o=t[s]||1;(e[e.length-1-i]||1)>1&&1===o&&r.unshift(s)}return r}}e.BroadcastUtil=l,e.arrayCopyHelper=function(t,e,n,r,i){if(r<0||r>=e.length)throw new Error("sourceIndex out of bounds");if(n<0||n>=t.length)throw new Error("targetIndex out of bounds");if(r+i>e.length)throw new Error("source indices to be copied are outside bounds");if(n+i>t.length)throw new Error("target array is too small to hold result");for(let s=0;s<i;s++)t[n+s]=e[r+s]},e.GemmUtil=class{static getShapeOfGemmResult(t,e,n,r,i){if(2!==t.length||2!==n.length)throw new Error("shape need to be of size 2");let s,o,a;e?(s=t[1],o=t[0]):(s=t[0],o=t[1]);let u=-1;if(r?(a=n[0],u=1):(a=n[1],u=0),n[u]!==o)throw new Error("dimension mismatch");if(s<=0||a<=0||o<=0)throw new Error("invalid shape specified");if(i&&!l.isValidBroadcast(i,[s,a]))throw new Error("gemm: invalid bias shape for broadcast");return[s,a,o]}};class c{static tensorDataTypeFromProto(t){switch(t){case o.onnx.TensorProto.DataType.INT8:return"int8";case o.onnx.TensorProto.DataType.UINT8:return"uint8";case o.onnx.TensorProto.DataType.BOOL:return"bool";case o.onnx.TensorProto.DataType.INT16:return"int16";case o.onnx.TensorProto.DataType.UINT16:return"uint16";case o.onnx.TensorProto.DataType.INT32:return"int32";case o.onnx.TensorProto.DataType.UINT32:return"uint32";case o.onnx.TensorProto.DataType.FLOAT:return"float32";case o.onnx.TensorProto.DataType.DOUBLE:return"float64";case o.onnx.TensorProto.DataType.STRING:return"string";case o.onnx.TensorProto.DataType.INT64:return"int32";case o.onnx.TensorProto.DataType.UINT64:return"uint32";default:throw new Error(`unsupported data type: ${o.onnx.TensorProto.DataType[t]}`)}}static tensorDataTypeStringToEnum(t){switch(t){case"int8":return o.onnx.TensorProto.DataType.INT8;case"uint8":return o.onnx.TensorProto.DataType.UINT8;case"bool":return o.onnx.TensorProto.DataType.BOOL;case"int16":return o.onnx.TensorProto.DataType.INT16;case"uint16":return o.onnx.TensorProto.DataType.UINT16;case"int32":return o.onnx.TensorProto.DataType.INT32;case"uint32":return o.onnx.TensorProto.DataType.UINT32;case"float32":return o.onnx.TensorProto.DataType.FLOAT;case"float64":return o.onnx.TensorProto.DataType.DOUBLE;case"string":return o.onnx.TensorProto.DataType.STRING;case"int64":return o.onnx.TensorProto.DataType.INT64;case"uint64":return o.onnx.TensorProto.DataType.UINT64;default:throw new Error(`unsupported data type: ${t}`)}}static tensorDimsFromProto(t){return t.map((t=>s.default.isLong(t)?t.toNumber():t))}static tensorValueTypeFromProto(t){return{tensorType:c.tensorDataTypeFromProto(t.elemType),shape:{dims:c.tensorDimsFromProto(t.shape.dim.map((t=>t.dimValue)))}}}static tensorDimsFromORTFormat(t){const e=[];for(let n=0;n<t.dimsLength();n++)e.push(d.longToNumber(t.dims(n)));return e}static tensorAttributesFromORTFormat(t){const e=[];for(let n=0;n<t.attributesLength();n++)e.push(t.attributes(n));return e}}e.ProtoUtil=c;class d{static longToNumber(t,e){return s.default.isLong(t)?t.toNumber():t instanceof i.flatbuffers.Long?s.default.fromValue({low:t.low,high:t.high,unsigned:null!=e&&e}).toNumber():t}static isLong(t){return s.default.isLong(t)||t instanceof i.flatbuffers.Long}}e.LongUtil=d;class h{static size(t){return h.getSizeFromDimensionRange(t,0,t.length)}static sizeFromDimension(t,e){if(e<0||e>t.length)throw new Error(`invalid dimension of ${e} for sizeFromDimension as Tensor has ${t.length} dimensions.`);return h.getSizeFromDimensionRange(t,e,t.length)}static sizeToDimension(t,e){if(e<0||e>t.length)throw new Error(`invalid dimension of ${e} for sizeToDimension as Tensor has ${t.length} dimensions.`);return h.getSizeFromDimensionRange(t,0,e)}static getSizeFromDimensionRange(t,e,n){let r=1;for(let i=e;i<n;i++){if(t[i]<=0)throw new Error("cannot get valid size from specified dimension range. Most likely the range contains 0 or negative values in them.");r*=t[i]}return r}static computeStrides(t){const e=t.length;if(0===e)return[];if(1===e)return[1];const n=new Array(e);n[e-1]=1,n[e-2]=t[e-1];for(let r=e-3;r>=0;--r)n[r]=n[r+1]*t[r+1];return n}static transpose(t){return t.slice().reverse()}static indicesToOffset(t,e,n){void 0===n&&(n=t.length);let r=0;for(let i=0;i<n;++i)r+=e[i]*t[i];return r}static offsetToIndices(t,e){const n=e.length;if(0===n)return[];if(1===n)return[t*e[0]];const r=new Array(e.length);for(let n=0;n<r.length-1;++n)r[n]=Math.floor(t/e[n]),t-=r[n]*e[n];return r[r.length-1]=t,r}static normalizeAxis(t,e){if(t<-e&&t>=e)throw new Error("unsupported axis for this operation.");return t<0?t+e:t}static normalizeAxes(t,e){return t.map((t=>this.normalizeAxis(t,e)))}static incrementIndex(t,e,n){if(0===e.length||0===t.length)throw new Error("Index incrementing unsupported for scalar Tensor");if(void 0===n)n=e.length;else if(n<=0||n>e.length)throw new Error("Incorrect axis to increment on");for(let r=n-1;r>=0&&(t[r]++,!(t[r]<e[r]));--r)t[r]=0}static calculateReshapedDims(t,e){if(0===e.length){if(0===t.length||1===h.size(t))return[];throw new Error("cannot reshape to a scalar Tensor")}const n=e.length,r=new Array(n);let i=-1,s=1;for(let o=0;o<n;o++){if(e[o]<-1)throw new Error("a dimension in shape hints cannot be less than -1");if(-1===e[o]){if(-1!==i)throw new Error("at most one dimension in shape hints can be -1");i=o}else{if(0===e[o]){if(o>=t.length)throw new Error("the dimension with value zero exceeds the dimension size of the input tensor");r[o]=t[o]}else r[o]=e[o];s*=r[o]}}const o=h.size(t);if(-1!==i){if(o%s!=0)throw new Error(`the input tensor cannot be reshaped to the requested shape. Input shape: [${t}] Output shape: [${e}]`);r[i]=o/s}else if(s!==o)throw new Error("reshapedDims and originalDims don't have matching sizes");return r}static sortBasedOnPerm(t,e){return e?e.map((e=>t[e])):t.slice().reverse()}static padShape(t,e){const n=t.length;return t.map(((t,r)=>t+e[r]+e[r+n]))}static areEqual(t,e){return t.length===e.length&&t.every(((t,n)=>t===e[n]))}static validateDimsAndCalcSize(t){if(t.length>6)throw new TypeError("Only rank 0 to 6 is supported for tensor shape.");let e=1;for(const n of t){if(!Number.isInteger(n))throw new TypeError(`Invalid shape: ${n} is not an integer`);if(n<0||n>2147483647)throw new TypeError(`Invalid shape: length ${n} is not allowed`);e*=n}return e}static flattenShape(t,e){e<0&&(e+=t.length);const n=t.reduce(((t,e)=>t*e),1),r=t.slice(e).reduce(((t,e)=>t*e),1);return[n/r,r]}static squeezeShape(t,e){const n=new Array;e=h.normalizeAxes(e,t.length);for(let r=0;r<t.length;r++){const i=e.indexOf(r)>=0;if(i&&1!==t[r])throw new Error("squeeze an axis of size different than 1");(0===e.length&&t[r]>1||e.length>0&&!i)&&n.push(t[r])}return n}static unsqueezeShape(t,e){const n=new Array(t.length+e.length);n.fill(0);for(let t=0;t<e.length;t++){const r=h.normalizeAxis(e[t],n.length);if(r>=n.length)throw new Error("'axes' has an out of range axis");if(0!==n[r])throw new Error("'axes' has a duplicate axis");n[r]=1}let r=0;for(let e=0;e<n.length;e++)0===n[e]&&(n[e]=t[r++]);if(r!==t.length)throw new Error("the unsqueezed dimension could not be established");return n}}e.ShapeUtil=h,e.MathUtil=class{static sqr(t,e,n,r,i){if(r<0||r>=e.length)throw new Error("sourceIndex out of bounds");if(n<0||n>=t.length)throw new Error("targetIndex out of bounds");if(r+i>e.length)throw new Error("source indices to be copied are outside bounds");if(n+i>t.length)throw new Error("target array is too small to hold result");for(let s=0;s<i;s++)t[n+s]+=Math.pow(e[r+s],2)}static axpy(t,e,n,r,i,s){if(r<0||r>=e.length)throw new Error("sourceIndex out of bounds");if(n<0||n>=t.length)throw new Error("targetIndex out of bounds");if(r+i>e.length)throw new Error("source indices to be copied are outside bounds");if(n+i>t.length)throw new Error("target array is too small to hold result");for(let o=0;o<i;o++)t[n+o]+=s*e[r+o]}static powx(t,e,n,r,i,s){if(r<0||r>=e.length)throw new Error("sourceIndex out of bounds");if(n<0||n>=t.length)throw new Error("targetIndex out of bounds");if(r+i>e.length)throw new Error("source indices to be copied are outside bounds");if(n+i>t.length)throw new Error("target array is too small to hold result");for(let o=0;o<i;o++)t[n+o]=Math.pow(e[r+o],s)}static mul(t,e,n,r,i){if(r<0||r>=e.length)throw new Error("sourceIndex out of bounds");if(n<0||n>=t.length)throw new Error("targetIndex out of bounds");if(r+i>e.length)throw new Error("source indices to be copied are outside bounds");if(n+i>t.length)throw new Error("target array is too small to hold result");for(let s=0;s<i;s++)t[n+s]=e[r+s]*t[n+s]}};class p{static splitShape(t,e,n,r){if(0===n.length){if(!r)throw new Error("need to know number of outputs when the 'split' attribute is not specified");p.determineSplit(t[e],r,n)}const i=[],s=[0];for(let r=0;r<n.length;++r){0!==r&&s.push(s[r-1]+n[r-1]);const o=t.slice();o[e]=n[r],i.push(o)}return[i,s]}static determineSplit(t,e,n){if(t%e!=0)throw new Error("cannot split tensor to equal sized parts");for(let r=0;r<e;++r)n.push(t/e)}}e.SplitUtil=p;class f{static calcReduce(t,e,n,r,i){const s=t.dims.slice(0);0===e.length&&s.forEach(((t,n)=>e.push(n)));const o=f.calcReduceShape(s,e,!0),u=h.size(o),c=new a.Tensor(o,t.type),d=h.computeStrides(o),p=h.computeStrides(s),g=new Array(s.length);for(let n=0;n<u;n++){const o=h.offsetToIndices(n,d);l.fillIndex(o,s,g),c.set(o,f.calcReduceByAxis(t.numberData,e,s,0,h.indicesToOffset(g,p),r,i))}return n?c:new a.Tensor(f.calcReduceShape(s,e,n),c.type,void 0,void 0,c.data,c.dataId)}static calcReduceByAxis(t,e,n,r,i,s,o){let a=0;if(r>=e.length)return s(t[i]);const u=e[r],l=u>=n.length?1:h.size(n.slice(u+1));for(let c=0;c<n[u];c++)a=0===c?f.calcReduceByAxis(t,e,n,r+1,i,s,o):o(a,f.calcReduceByAxis(t,e,n,r+1,i,s,o)),i+=l;return a}static calcReduceShape(t,e,n){const r=t.slice();for(let t=0;t<e.length;t++)r[e[t]]=n?1:0;return r.filter((t=>0!==t))}}e.ReduceUtil=f;class g{static adjustPoolAttributes(t,e,n,r,i,s){if(!t&&n.length!==e.length-2)throw new Error("length of specified kernel shapes should be 2 less than length of input dimensions");if(t)for(let t=0;t<e.length-2;t++)t>=n.length?n.push(e[t+2]):n[t]=e[t+2];for(let t=0;t<n.length;t++)if(t<r.length){if(r[t]<0)throw new Error("strides should be greater than or equal to 1")}else r.push(1);for(let t=0;t<n.length;t++)if(t<i.length){if(i[t]<0)throw new Error("dilations should be greater than or equal to 1")}else i.push(1);for(let t=0;t<2*n.length;t++)if(t<s.length){if(s[t]<0)throw new Error("pad should be greater than or equal to 1")}else s.push(0);for(let t=0;t<n.length;t++){if(n[t]<=0)throw new Error("kernel shapes need to be greater than 0");if(s[t]>=n[t]||s[t+n.length]>=n[t])throw new Error("pads should be smaller than kernel")}}static adjustPadsBasedOnAutoPad(t,e,n,r,i,s){if(s){if(i.length!==2*(t.length-2))throw new Error("length of pads should be twice the length of data dimensions");if(e.length!==t.length-2)throw new Error("length of strides should be the length of data dimensions");if(r.length!==t.length-2)throw new Error("length of kernel shapes should be the length of data dimensions");for(let o=0;o<t.length-2;o++)g.adjustPadAndReturnShape(t[o+2],e[o],n[o],r[o],i,o,o+t.length-2,s)}}static computePoolOutputShape(t,e,n,r,i,s,o){if(e.length<=0)throw new Error("input shape must be of size greater than 0");const a=[e[0],e[1]];return g.computeShapeHelper(t,e,a,n,r,i,s,o),a}static computeConvOutputShape(t,e,n,r,i,s,o){if(t.length<=0||e.length<=0)throw new Error("invalid input tensor dims or invalid filter tensor dims");const a=[t[0],e[0]];return 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o=2*i,a=3*i,u=t[r],l=t[r+i],c=t[r+o],d=t[r+a],h=u+c,p=u-c,f=l+d,g=s*(l-d);e[n]=h+f,e[n+1]=0,e[n+2]=p,e[n+3]=-g,e[n+4]=h-f,e[n+5]=0,e[n+6]=p,e[n+7]=g}}class K{constructor(t){const e=2*(t-1),n=2*(2*t-1),r=2**Math.ceil(Math.log2(n));this.bufferSize=r,this._a=e;const i=new Float64Array(n),s=new Float64Array(r);this._chirpBuffer=new Float64Array(r),this._buffer1=new Float64Array(r),this._buffer2=new Float64Array(r),this._outBuffer1=new Float64Array(r),this._outBuffer2=new Float64Array(r);const o=-2*Math.PI/t,a=Math.cos(o),u=Math.sin(o);for(let e=0;e<n>>1;++e){const n=(e+1-t)**2/2,r=Math.sqrt(a**2+u**2)**n,o=n*Math.atan2(u,a),l=2*e;i[l]=r*Math.cos(o),i[l+1]=r*Math.sin(o),s[l]=i[l],s[l+1]=-i[l+1]}this._slicedChirpBuffer=i.subarray(e,n),this._f=new Y(r>>1),this._f.transform(this._chirpBuffer,s)}_transform(t,e,n){const r=this._buffer1,i=this._buffer2,s=this._outBuffer1,o=this._outBuffer2,a=this._chirpBuffer,u=this._slicedChirpBuffer,l=this._a;if(n)for(let t=0;t<u.length;t+=2){const n=t+1,i=e[t>>1];r[t]=i*u[t],r[n]=i*u[n]}else for(let t=0;t<u.length;t+=2){const n=t+1;r[t]=e[t]*u[t]-e[n]*u[n],r[n]=e[t]*u[n]+e[n]*u[t]}this._f.transform(s,r);for(let t=0;t<a.length;t+=2){const e=t+1;i[t]=s[t]*a[t]-s[e]*a[e],i[e]=s[t]*a[e]+s[e]*a[t]}this._f.inverseTransform(o,i);for(let e=0;e<o.length;e+=2){const n=o[e+l],r=o[e+l+1],i=u[e],s=u[e+1];t[e]=n*i-r*s,t[e+1]=n*s+r*i}}transform(t,e){this._transform(t,e,!1)}realTransform(t,e){this._transform(t,e,!0)}}class Z{constructor(t){this.fft_length=t,this.isPowerOfTwo=X(t),this.isPowerOfTwo?(this.fft=new Y(t),this.outputBufferSize=2*t):(this.fft=new K(t),this.outputBufferSize=this.fft.bufferSize)}realTransform(t,e){this.fft.realTransform(t,e)}transform(t,e){this.fft.transform(t,e)}}function J(t,e){if(e%2==0||e<=0)throw new Error("Window size must be a positive odd number");const n=new t.constructor(t.length),r=new t.constructor(e),i=Math.floor(e/2);for(let e=0;e<t.length;++e){let s=0;for(let n=-i;n<=i;++n){let i=e+n;i<0?i=Math.abs(i):i>=t.length&&(i=2*(t.length-1)-i),r[s++]=t[i]}r.sort(),n[e]=r[i]}return n}function Q(t,e){const n=Math.pow(10,e);return Math.round(t*n)/n}const tt=Object.freeze({float32:Float32Array,float64:Float64Array,string:Array,int8:Int8Array,uint8:Uint8Array,int16:Int16Array,uint16:Uint16Array,int32:Int32Array,uint32:Uint32Array,int64:BigInt64Array,uint64:BigUint64Array,bool:Uint8Array}),et=x.Tensor;class nt{dims;type;data;size;constructor(...t){return t[0]instanceof et?Object.assign(this,t[0]):Object.assign(this,new et(t[0],t[1],t[2])),new Proxy(this,{get:(t,e)=>{if("string"==typeof e){let n=Number(e);if(Number.isInteger(n))return t._getitem(n)}return t[e]},set:(t,e,n)=>t[e]=n})}*[Symbol.iterator](){const[t,...e]=this.dims;if(e.length>0){const n=e.reduce(((t,e)=>t*e));for(let r=0;r<t;++r)yield this._subarray(r,n,e)}else yield*this.data}_getitem(t){const[e,...n]=this.dims;if(t=ot(t,e),n.length>0){const e=n.reduce(((t,e)=>t*e));return this._subarray(t,e,n)}return new nt(this.type,[this.data[t]],n)}indexOf(t){for(let e=0;e<this.data.length;++e)if(this.data[e]==t)return e;return-1}_subarray(t,e,n){const r=t*e,i=(t+1)*e,s="subarray"in this.data?this.data.subarray(r,i):this.data.slice(r,i);return new nt(this.type,s,n)}item(){if(1!==this.data.length)throw new Error(`a Tensor with ${this.data.length} elements cannot be converted to Scalar`);return this.data[0]}tolist(){return function(t,e){const n=t.length;if(n!==e.reduce(((t,e)=>t*e)))throw Error(`cannot reshape array of size ${n} into shape (${e})`);let r=t;for(let t=e.length-1;t>=0;t--)r=r.reduce(((n,r)=>{let i=n[n.length-1];return i.length<e[t]?i.push(r):n.push([r]),n}),[[]]);return r[0]}(this.data,this.dims)}sigmoid(){return this.clone().sigmoid_()}sigmoid_(){for(let t=0;t<this.data.length;++t)this.data[t]=1/(1+Math.exp(-this.data[t]));return this}mul(t){return this.clone().mul_(t)}mul_(t){for(let e=0;e<this.data.length;++e)this.data[e]*=t;return this}add(t){return this.clone().add_(t)}add_(t){for(let e=0;e<this.data.length;++e)this.data[e]+=t;return this}clone(){return new nt(this.type,this.data.slice(),this.dims.slice())}slice(...t){let e=[],n=[];for(let r=0;r<this.dims.length;++r){let i=t[r];if(null==i)n.push([0,this.dims[r]]),e.push(this.dims[r]);else if("number"==typeof i)i=ot(i,this.dims[r],r),n.push([i,i+1]);else{if(!Array.isArray(i)||2!==i.length)throw new Error(`Invalid slice: ${i}`);{if(i[0]>i[1])throw new Error(`Invalid slice: ${i}`);let t=[Math.max(i[0],0),Math.min(i[1],this.dims[r])];n.push(t),e.push(t[1]-t[0])}}}let r=n.map((([t,e])=>e-t)),i=r.reduce(((t,e)=>t*e)),s=new this.data.constructor(i);const o=this.stride();for(let t=0;t<i;++t){let e=0;for(let i=r.length-1,s=t;i>=0;--i){const t=r[i];e+=(s%t+n[i][0])*o[i],s=Math.floor(s/t)}s[t]=this.data[e]}return new nt(this.type,s,e)}permute(...t){return function(t,e){const[n,r]=function(t,e,n){const r=new Array(n.length),i=new Array(n.length);for(let 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nt(this.type,i,r)}normalize_(t=2,e=1){e=ot(e,this.dims.length);const n=this.norm(t,e,!0);for(let t=0;t<this.data.length;++t){let r=0;for(let n=this.dims.length-1,i=t,s=1;n>=0;--n){const t=this.dims[n];n!==e&&(r+=i%t*s,s*=this.dims[n]),i=Math.floor(i/t)}this.data[t]/=n.data[r]}return this}normalize(t=2,e=1){return this.clone().normalize_(t,e)}stride(){return function(t){const e=new Array(t.length);for(let n=t.length-1,r=1;n>=0;--n)e[n]=r,r*=t[n];return e}(this.dims)}squeeze(t=null){return new nt(this.type,this.data,it(this.dims,t))}squeeze_(t=null){return this.dims=it(this.dims,t),this}unsqueeze(t=null){return new nt(this.type,this.data,st(this.dims,t))}unsqueeze_(t=null){return this.dims=st(this.dims,t),this}flatten_(t=0,e=-1){e=(e+this.dims.length)%this.dims.length;let n=this.dims.slice(0,t),r=this.dims.slice(t,e+1),i=this.dims.slice(e+1);return this.dims=[...n,r.reduce(((t,e)=>t*e),1),...i],this}flatten(t=0,e=-1){return this.clone().flatten_(t,e)}view(...t){let e=-1;for(let 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t=0;for(;this._left(t)<this.size&&this._greater(this._left(t),t)||this._right(t)<this.size&&this._greater(this._right(t),t);){const e=this._right(t)<this.size&&this._greater(this._right(t),this._left(t))?this._right(t):this._left(t);this._swap(t,e),t=e}}}class ht{constructor(){this.root=pt.default()}extend(t){for(let e of t)this.push(e)}push(t){let e=this.root;for(let n of t){let t=e.children.get(n);void 0===t&&(t=pt.default(),e.children.set(n,t)),e=t}e.isLeaf=!0}*commonPrefixSearch(t){let e=this.root,n="";for(let r=0;r<t.length&&void 0!==e;++r){const i=t[r];n+=i,e=e.children.get(i),void 0!==e&&e.isLeaf&&(yield n)}}}class pt{constructor(t,e){this.isLeaf=t,this.children=e}static default(){return new pt(!1,new Map)}}class ft{constructor(t,e,n){this.sentence=t,this.len=t.length,this.bosTokenId=e,this.eosTokenId=n,this.nodes=[],this.beginNodes=Array.from({length:this.len+1},(()=>[])),this.endNodes=Array.from({length:this.len+1},(()=>[]));const r=new gt(this.bosTokenId,0,0,0,0),i=new 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gt{constructor(t,e,n,r,i){this.tokenId=t,this.nodeId=e,this.pos=n,this.length=r,this.score=i,this.prev=null,this.backtraceScore=0}clone(){const t=new gt(this.tokenId,this.nodeId,this.pos,this.length,this.score);return t.prev=this.prev,t.backtraceScore=this.backtraceScore,t}}var mt=Object.freeze({Text:"Text",NumericLiteral:"NumericLiteral",BooleanLiteral:"BooleanLiteral",StringLiteral:"StringLiteral",Identifier:"Identifier",Equals:"Equals",OpenParen:"OpenParen",CloseParen:"CloseParen",OpenStatement:"OpenStatement",CloseStatement:"CloseStatement",OpenExpression:"OpenExpression",CloseExpression:"CloseExpression",OpenSquareBracket:"OpenSquareBracket",CloseSquareBracket:"CloseSquareBracket",OpenCurlyBracket:"OpenCurlyBracket",CloseCurlyBracket:"CloseCurlyBracket",Comma:"Comma",Dot:"Dot",Colon:"Colon",Pipe:"Pipe",CallOperator:"CallOperator",AdditiveBinaryOperator:"AdditiveBinaryOperator",MultiplicativeBinaryOperator:"MultiplicativeBinaryOperator",ComparisonBinaryOperator:"ComparisonBinaryOperator",UnaryOperator:"UnaryOperator",Set:"Set",If:"If",For:"For",In:"In",Is:"Is",NotIn:"NotIn",Else:"Else",EndIf:"EndIf",ElseIf:"ElseIf",EndFor:"EndFor",And:"And",Or:"Or",Not:"UnaryOperator"}),_t=Object.freeze({set:mt.Set,for:mt.For,in:mt.In,is:mt.Is,if:mt.If,else:mt.Else,endif:mt.EndIf,elif:mt.ElseIf,endfor:mt.EndFor,and:mt.And,or:mt.Or,not:mt.Not,"not 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Map([["n","\n"],["t","\t"],["r","\r"],["b","\b"],["f","\f"],["v","\v"],["'","'"],['"','"'],["\\","\\"]]),Tt=class{type="Statement"},St=class extends Tt{constructor(t){super(),this.body=t}type="Program"},At=class extends Tt{constructor(t,e,n){super(),this.test=t,this.body=e,this.alternate=n}type="If"},kt=class extends Tt{constructor(t,e,n){super(),this.loopvar=t,this.iterable=e,this.body=n}type="For"},Ot=class extends Tt{constructor(t,e){super(),this.assignee=t,this.value=e}type="Set"},Et=class extends Tt{type="Expression"},It=class extends Et{constructor(t,e,n){super(),this.object=t,this.property=e,this.computed=n}type="MemberExpression"},Pt=class extends Et{constructor(t,e){super(),this.callee=t,this.args=e}type="CallExpression"},Dt=class extends Et{constructor(t){super(),this.value=t}type="Identifier"},Ct=class extends Et{constructor(t){super(),this.value=t}type="Literal"},$t=class extends Ct{type="NumericLiteral"},Mt=class extends Ct{type="StringLiteral"},Ft=class extends Ct{type="BooleanLiteral"},Lt=class extends Ct{type="ArrayLiteral"},Nt=class extends Ct{type="TupleLiteral"},Rt=class extends Ct{type="ObjectLiteral"},jt=class extends Et{constructor(t,e,n){super(),this.operator=t,this.left=e,this.right=n}type="BinaryExpression"},zt=class extends Et{constructor(t,e){super(),this.operand=t,this.filter=e}type="FilterExpression"},Bt=class extends Et{constructor(t,e,n){super(),this.operand=t,this.negate=e,this.test=n}type="TestExpression"},Ut=class extends Et{constructor(t,e){super(),this.operator=t,this.argument=e}type="UnaryExpression"},Vt=class extends Et{constructor(t=void 0,e=void 0,n=void 0){super(),this.start=t,this.stop=e,this.step=n}type="SliceExpression"},Gt=class extends Et{constructor(t,e){super(),this.key=t,this.value=e}type="KeywordArgumentExpression"};function qt(t){const e=new St([]);let n=0;function r(e,r){const i=t[n++];if(!i||i.type!==e)throw new Error(`Parser Error: ${r}. ${i.type} !== ${e}.`);return i}function i(){switch(t[n].type){case mt.Text:return new Mt(r(mt.Text,"Expected text token").value);case mt.OpenStatement:return function(){let e;switch(r(mt.OpenStatement,"Expected opening statement token"),t[n].type){case mt.Set:++n,e=a(),r(mt.CloseStatement,"Expected closing statement token");break;case mt.If:++n,e=u(),r(mt.OpenStatement,"Expected {% token"),r(mt.EndIf,"Expected endif token"),r(mt.CloseStatement,"Expected %} token");break;case mt.For:++n,e=function(){const t=l(!0);if(!(t instanceof Dt||t instanceof Nt))throw new SyntaxError(`Expected identifier/tuple for the loop variable, got ${t.type} instead`);r(mt.In,"Expected `in` keyword following loop variable");const e=c();r(mt.CloseStatement,"Expected closing statement token");const n=[];for(;s(mt.OpenStatement,mt.EndFor);)n.push(i());return new kt(t,e,n)}(),r(mt.OpenStatement,"Expected {% token"),r(mt.EndFor,"Expected endfor token"),r(mt.CloseStatement,"Expected %} token");break;default:throw new SyntaxError(`Unknown statement type: ${t[n].type}`)}return e}();case mt.OpenExpression:return function(){r(mt.OpenExpression,"Expected opening expression token");const t=c();return r(mt.CloseExpression,"Expected closing expression token"),t}();default:throw new SyntaxError(`Unexpected token type: ${t[n].type}`)}}function s(...e){return n+e.length<=t.length&&e.some(((e,r)=>e!==t[n+r].type))}function o(...e){return n+e.length<=t.length&&e.every(((e,r)=>e===t[n+r].type))}function a(){const t=c();if(o(mt.Equals)){++n;const e=a();return new Ot(t,e)}return t}function u(){const e=c();r(mt.CloseStatement,"Expected closing statement token");const s=[],a=[];for(;t[n]?.type!==mt.OpenStatement||t[n+1]?.type!==mt.ElseIf&&t[n+1]?.type!==mt.Else&&t[n+1]?.type!==mt.EndIf;)s.push(i());if(t[n]?.type===mt.OpenStatement&&t[n+1]?.type!==mt.EndIf)if(++n,o(mt.ElseIf))r(mt.ElseIf,"Expected elseif token"),a.push(u());else for(r(mt.Else,"Expected else token"),r(mt.CloseStatement,"Expected closing statement 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list");const t=function(){const t=[];for(;!o(mt.CloseParen);){let e=c();if(o(mt.Equals)){if(++n,!(e instanceof Dt))throw new SyntaxError("Expected identifier for keyword argument");const t=c();e=new Gt(e,t)}t.push(e),o(mt.Comma)&&++n}return t}();return r(mt.CloseParen,"Expected closing parenthesis for arguments list"),t}());return o(mt.OpenParen)&&(e=g(e)),e}function m(){const t=[];let e=!1;for(;!o(mt.CloseSquareBracket);)o(mt.Colon)?(t.push(void 0),++n,e=!0):(t.push(c()),o(mt.Colon)&&(++n,e=!0));if(0===t.length)throw new SyntaxError("Expected at least one argument for member/slice expression");if(e){if(t.length>3)throw new SyntaxError("Expected 0-3 arguments for slice expression");return new Vt(...t)}return t[0]}function _(){let e=b();for(;o(mt.MultiplicativeBinaryOperator);){const r=t[n];++n;const i=b();e=new jt(r,e,i)}return e}function b(){let e=function(){let e=function(){const e=function(){let e=y();for(;o(mt.Dot)||o(mt.OpenSquareBracket);){const i=t[n];let s;++n;const 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${t[n].type} instead`);return++n,e}case mt.OpenSquareBracket:{++n;const t=[];for(;!o(mt.CloseSquareBracket);)t.push(c()),o(mt.Comma)&&++n;return++n,new Lt(t)}case mt.OpenCurlyBracket:{++n;const t=new Map;for(;!o(mt.CloseCurlyBracket);){const e=c();r(mt.Colon,"Expected colon between key and value in object literal");const i=c();t.set(e,i),o(mt.Comma)&&++n}return++n,new Rt(t)}default:throw new SyntaxError(`Unexpected token: ${e.type}`)}}for(;n<t.length;)e.body.push(i());return e}function Wt(t,e,n=1){void 0===e&&(e=t,t=0);const r=[];for(let i=t;i<e;i+=n)r.push(i);return r}function Ht(t,e,n,r=1){const i=Math.sign(r);i>=0?(e=(e??=0)<0?Math.max(t.length+e,0):Math.min(e,t.length),n=(n??=t.length)<0?Math.max(t.length+n,0):Math.min(n,t.length)):(e=(e??=t.length-1)<0?Math.max(t.length+e,-1):Math.min(e,t.length-1),n=(n??=-1)<-1?Math.max(t.length+n,-1):Math.min(n,t.length-1));const s=[];for(let o=e;i*o<i*n;o+=r)s.push(t[o]);return s}function Xt(t){return t.replace(/\b\w/g,(t=>t.toUpperCase()))}var Yt=class{type="RuntimeValue";value;builtins=new Map;constructor(t=void 0){this.value=t}__bool__(){return new Jt(!!this.value)}},Kt=class extends Yt{type="NumericValue"},Zt=class extends Yt{type="StringValue";builtins=new Map([["upper",new ne((()=>new Zt(this.value.toUpperCase())))],["lower",new ne((()=>new Zt(this.value.toLowerCase())))],["strip",new ne((()=>new Zt(this.value.trim())))],["title",new ne((()=>new Zt(Xt(this.value))))],["length",new Kt(this.value.length)]])},Jt=class extends Yt{type="BooleanValue"},Qt=class extends Yt{type="ObjectValue";__bool__(){return new Jt(this.value.size>0)}builtins=new Map([["get",new ne((([t,e])=>{if(!(t instanceof Zt))throw new Error(`Object key must be a string: got ${t.type}`);return this.value.get(t.value)??e??new re}))],["items",new ne((()=>new te(Array.from(this.value.entries()).map((([t,e])=>new te([new Zt(t),e]))))))]])},te=class extends Yt{type="ArrayValue";builtins=new Map([["length",new Kt(this.value.length)]]);__bool__(){return new Jt(this.value.length>0)}},ee=class extends te{type="TupleValue"},ne=class extends Yt{type="FunctionValue"},re=class extends Yt{type="NullValue"},ie=class extends Yt{type="UndefinedValue"},se=class{constructor(t){this.parent=t}variables=new Map([["namespace",new ne((t=>{if(0===t.length)return new Qt(new Map);if(1!==t.length||!(t[0]instanceof Qt))throw new Error("`namespace` expects either zero arguments or a single object argument");return t[0]}))]]);tests=new Map([["boolean",t=>"BooleanValue"===t.type],["callable",t=>t instanceof ne],["odd",t=>{if("NumericValue"!==t.type)throw new Error(`Cannot apply test "odd" to type: ${t.type}`);return t.value%2!=0}],["even",t=>{if("NumericValue"!==t.type)throw new Error(`Cannot apply test "even" to type: ${t.type}`);return t.value%2==0}],["false",t=>"BooleanValue"===t.type&&!t.value],["true",t=>"BooleanValue"===t.type&&t.value],["number",t=>"NumericValue"===t.type],["integer",t=>"NumericValue"===t.type&&Number.isInteger(t.value)],["iterable",t=>t instanceof te||t instanceof Zt],["lower",t=>{const e=t.value;return"StringValue"===t.type&&e===e.toLowerCase()}],["upper",t=>{const e=t.value;return"StringValue"===t.type&&e===e.toUpperCase()}],["none",t=>"NullValue"===t.type],["defined",t=>"UndefinedValue"!==t.type],["undefined",t=>"UndefinedValue"===t.type],["equalto",(t,e)=>t.value===e.value]]);set(t,e){return this.declareVariable(t,ae(e))}declareVariable(t,e){if(this.variables.has(t))throw new SyntaxError(`Variable already declared: ${t}`);return this.variables.set(t,e),e}setVariable(t,e){return this.variables.set(t,e),e}resolve(t){if(this.variables.has(t))return this;if(this.parent)return this.parent.resolve(t);throw new Error(`Unknown variable: ${t}`)}lookupVariable(t){try{return this.resolve(t).variables.get(t)??new ie}catch{return new ie}}},oe=class{global;constructor(t){this.global=t??new se}run(t){return this.evaluate(t,this.global)}evaluateBinaryExpression(t,e){const n=this.evaluate(t.left,e);switch(t.operator.value){case"and":return n.__bool__().value?this.evaluate(t.right,e):n;case"or":return n.__bool__().value?n:this.evaluate(t.right,e)}const r=this.evaluate(t.right,e);switch(t.operator.value){case"==":return new Jt(n.value==r.value);case"!=":return new Jt(n.value!=r.value)}if(n instanceof ie||r instanceof ie)throw new Error("Cannot perform operation on undefined values");if(n instanceof re||r instanceof re)throw new Error("Cannot perform operation on null values");if(n instanceof Kt&&r instanceof Kt)switch(t.operator.value){case"+":return new Kt(n.value+r.value);case"-":return new Kt(n.value-r.value);case"*":return new Kt(n.value*r.value);case"/":return new Kt(n.value/r.value);case"%":return new Kt(n.value%r.value);case"<":return new Jt(n.value<r.value);case">":return new Jt(n.value>r.value);case">=":return new Jt(n.value>=r.value);case"<=":return new Jt(n.value<=r.value)}else if(n instanceof te&&r instanceof te){if("+"===t.operator.value)return new te(n.value.concat(r.value))}else if(r instanceof te){const e=void 0!==r.value.find((t=>t.value===n.value));switch(t.operator.value){case"in":return new Jt(e);case"not in":return new Jt(!e)}}if((n instanceof Zt||r instanceof Zt)&&"+"===t.operator.value)return new Zt(n.value.toString()+r.value.toString());if(n instanceof Zt&&r instanceof Zt)switch(t.operator.value){case"in":return new Jt(r.value.includes(n.value));case"not in":return new Jt(!r.value.includes(n.value))}if(n instanceof Zt&&r instanceof Qt)switch(t.operator.value){case"in":return new Jt(r.value.has(n.value));case"not in":return new Jt(!r.value.has(n.value))}throw new SyntaxError(`Unknown operator "${t.operator.value}" between ${n.type} and ${r.type}`)}evaluateFilterExpression(t,e){const n=this.evaluate(t.operand,e);if("Identifier"===t.filter.type){const e=t.filter;if(n instanceof te)switch(e.value){case"list":return n;case"first":return n.value[0];case"last":return n.value[n.value.length-1];case"length":return new Kt(n.value.length);case"reverse":return new te(n.value.reverse());case"sort":return new te(n.value.sort(((t,e)=>{if(t.type!==e.type)throw new Error(`Cannot compare different types: ${t.type} and ${e.type}`);switch(t.type){case"NumericValue":return t.value-e.value;case"StringValue":return t.value.localeCompare(e.value);default:throw new Error(`Cannot compare type: ${t.type}`)}})));default:throw new Error(`Unknown ArrayValue filter: ${e.value}`)}else if(n instanceof Zt)switch(e.value){case"length":return new Kt(n.value.length);case"upper":return new Zt(n.value.toUpperCase());case"lower":return new Zt(n.value.toLowerCase());case"title":return new Zt(Xt(n.value));case"capitalize":return new Zt(n.value.charAt(0).toUpperCase()+n.value.slice(1));case"trim":return new Zt(n.value.trim());default:throw new Error(`Unknown StringValue filter: ${e.value}`)}else{if(n instanceof Kt){if("abs"===e.value)return new Kt(Math.abs(n.value));throw new Error(`Unknown NumericValue filter: ${e.value}`)}if(n instanceof Qt)switch(e.value){case"items":return new te(Array.from(n.value.entries()).map((([t,e])=>new te([new Zt(t),e]))));case"length":return new Kt(n.value.size);default:throw new Error(`Unknown ObjectValue filter: ${e.value}`)}}throw new Error(`Cannot apply filter "${e.value}" to type: ${n.type}`)}if("CallExpression"===t.filter.type){const r=t.filter;if("Identifier"!==r.callee.type)throw new Error(`Unknown filter: ${r.callee.type}`);const i=r.callee.value;if(n instanceof te){if("selectattr"===i){if(n.value.some((t=>!(t instanceof Qt))))throw new Error("`selectattr` can only be applied to array of objects");if(r.args.some((t=>"StringLiteral"!==t.type)))throw new Error("arguments of `selectattr` must be strings");const[t,i,s]=r.args.map((t=>this.evaluate(t,e)));let o;if(i){const t=e.tests.get(i.value);if(!t)throw new Error(`Unknown test: ${i.value}`);o=t}else o=(...t)=>t[0].__bool__().value;const a=n.value.filter((e=>{const n=e.value.get(t.value);return!!n&&o(n,s)}));return new te(a)}throw new Error(`Unknown ArrayValue filter: ${i}`)}throw new Error(`Cannot apply filter "${i}" to type: ${n.type}`)}throw new Error(`Unknown filter: ${t.filter.type}`)}evaluateTestExpression(t,e){const n=this.evaluate(t.operand,e),r=e.tests.get(t.test.value);if(!r)throw new Error(`Unknown test: ${t.test.value}`);const i=r(n);return new Jt(t.negate?!i:i)}evaluateUnaryExpression(t,e){const n=this.evaluate(t.argument,e);if("not"===t.operator.value)return new Jt(!n.value);throw new SyntaxError(`Unknown operator: ${t.operator.value}`)}evalProgram(t,e){return this.evaluateBlock(t.body,e)}evaluateBlock(t,e){let n="";for(const r of t){const t=this.evaluate(r,e);"NullValue"!==t.type&&"UndefinedValue"!==t.type&&(n+=t.value)}return new Zt(n)}evaluateIdentifier(t,e){return e.lookupVariable(t.value)}evaluateCallExpression(t,e){const n=[],r=new Map;for(const i of t.args)if("KeywordArgumentExpression"===i.type){const t=i;r.set(t.key.value,this.evaluate(t.value,e))}else n.push(this.evaluate(i,e));r.size>0&&n.push(new Qt(r));const i=this.evaluate(t.callee,e);if("FunctionValue"!==i.type)throw new Error(`Cannot call something that is not a function: got ${i.type}`);return i.value(n,e)}evaluateSliceExpression(t,e,n){if(!(t instanceof te||t instanceof Zt))throw new Error("Slice object must be an array or string");const r=this.evaluate(e.start,n),i=this.evaluate(e.stop,n),s=this.evaluate(e.step,n);if(!(r instanceof Kt||r instanceof ie))throw new Error("Slice start must be numeric or undefined");if(!(i instanceof Kt||i instanceof ie))throw new Error("Slice stop must be numeric or undefined");if(!(s instanceof Kt||s instanceof ie))throw new Error("Slice step must be numeric or undefined");return t instanceof te?new te(Ht(t.value,r.value,i.value,s.value)):new Zt(Ht(Array.from(t.value),r.value,i.value,s.value).join(""))}evaluateMemberExpression(t,e){const n=this.evaluate(t.object,e);let r,i;if(t.computed){if("SliceExpression"===t.property.type)return this.evaluateSliceExpression(n,t.property,e);r=this.evaluate(t.property,e)}else r=new Zt(t.property.value);if(n instanceof Qt){if(!(r instanceof Zt))throw new Error(`Cannot access property with non-string: got ${r.type}`);i=n.value.get(r.value)??n.builtins.get(r.value)}else if(n instanceof te||n instanceof Zt)if(r instanceof Kt)i=n.value.at(r.value),n instanceof Zt&&(i=new Zt(n.value.at(r.value)));else{if(!(r instanceof Zt))throw new Error(`Cannot access property with non-string/non-number: got ${r.type}`);i=n.builtins.get(r.value)}else{if(!(r instanceof Zt))throw new Error(`Cannot access property with non-string: got ${r.type}`);i=n.builtins.get(r.value)}return i instanceof Yt?i:new ie}evaluateSet(t,e){const n=this.evaluate(t.value,e);if("Identifier"===t.assignee.type){const r=t.assignee.value;e.setVariable(r,n)}else{if("MemberExpression"!==t.assignee.type)throw new Error(`Invalid LHS inside assignment expression: ${JSON.stringify(t.assignee)}`);{const r=t.assignee,i=this.evaluate(r.object,e);if(!(i instanceof Qt))throw new Error("Cannot assign to member of non-object");if("Identifier"!==r.property.type)throw new Error("Cannot assign to member with non-identifier property");i.value.set(r.property.value,n)}}return new re}evaluateIf(t,e){const n=this.evaluate(t.test,e);return this.evaluateBlock(n.__bool__().value?t.body:t.alternate,e)}evaluateFor(t,e){const n=new se(e),r=this.evaluate(t.iterable,n);if(!(r instanceof te))throw new Error(`Expected iterable type in for loop: got ${r.type}`);let i="";for(let e=0;e<r.value.length;++e){const s=new Map([["index",new Kt(e+1)],["index0",new Kt(e)],["revindex",new Kt(r.value.length-e)],["revindex0",new Kt(r.value.length-e-1)],["first",new Jt(0===e)],["last",new Jt(e===r.value.length-1)],["length",new Kt(r.value.length)],["previtem",e>0?r.value[e-1]:new ie],["nextitem",e<r.value.length-1?r.value[e+1]:new ie]]);n.setVariable("loop",new Qt(s));const o=r.value[e];if("Identifier"===t.loopvar.type)n.setVariable(t.loopvar.value,o);else if("TupleLiteral"===t.loopvar.type){const e=t.loopvar;if("ArrayValue"!==o.type)throw new Error(`Cannot unpack non-iterable type: ${o.type}`);const r=o;if(e.value.length!==r.value.length)throw new Error(`Too ${e.value.length>r.value.length?"few":"many"} items to unpack`);for(let t=0;t<e.value.length;++t){if("Identifier"!==e.value[t].type)throw new Error(`Cannot unpack non-identifier type: ${e.value[t].type}`);n.setVariable(e.value[t].value,r.value[t])}}i+=this.evaluateBlock(t.body,n).value}return new Zt(i)}evaluate(t,e){if(void 0===t)return new ie;switch(t.type){case"Program":return this.evalProgram(t,e);case"Set":return this.evaluateSet(t,e);case"If":return this.evaluateIf(t,e);case"For":return this.evaluateFor(t,e);case"NumericLiteral":return new Kt(Number(t.value));case"StringLiteral":return new Zt(t.value);case"BooleanLiteral":return new Jt(t.value);case"ArrayLiteral":return new te(t.value.map((t=>this.evaluate(t,e))));case"TupleLiteral":return new ee(t.value.map((t=>this.evaluate(t,e))));case"ObjectLiteral":{const n=new Map;for(const[r,i]of t.value){const t=this.evaluate(r,e);if(!(t instanceof Zt))throw new Error(`Object keys must be strings: got ${t.type}`);n.set(t.value,this.evaluate(i,e))}return new Qt(n)}case"Identifier":return this.evaluateIdentifier(t,e);case"CallExpression":return this.evaluateCallExpression(t,e);case"MemberExpression":return this.evaluateMemberExpression(t,e);case"UnaryExpression":return this.evaluateUnaryExpression(t,e);case"BinaryExpression":return this.evaluateBinaryExpression(t,e);case"FilterExpression":return this.evaluateFilterExpression(t,e);case"TestExpression":return this.evaluateTestExpression(t,e);default:throw new SyntaxError(`Unknown node type: ${t.type}`)}}};function ae(t){switch(typeof t){case"number":return new Kt(t);case"string":return new Zt(t);case"boolean":return new Jt(t);case"object":return null===t?new re:Array.isArray(t)?new te(t.map(ae)):new Qt(new Map(Object.entries(t).map((([t,e])=>[t,ae(e)]))));case"function":return new ne(((e,n)=>ae(t(...e.map((t=>t.value)))??null)));default:throw new Error(`Cannot convert to runtime value: ${t}`)}}var ue=class{parsed;constructor(t){const e=function(t,e={}){const n=[],r=function(t,e={}){return t.endsWith("\n")&&(t=t.slice(0,-1)),t=t.replace(/{#.*?#}/gs,"{##}"),e.lstrip_blocks&&(t=t.replace(/^[ \t]*({[#%])/gm,"$1")),e.trim_blocks&&(t=t.replace(/([#%]})\n/g,"$1")),t.replace(/{##}/g,"").replace(/-%}\s*/g,"%}").replace(/\s*{%-/g,"{%").replace(/-}}\s*/g,"}}").replace(/\s*{{-/g,"{{")}(t,e);let i=0;const s=t=>{let e="";for(;t(r[i]);)if("\\"!==r[i]){if(e+=r[i++],i>=r.length)throw new SyntaxError("Unexpected end of input")}else{if(++i,i>=r.length)throw new SyntaxError("Unexpected end of input");const t=r[i++],n=xt.get(t);if(void 0===n)throw new SyntaxError(`Unexpected escaped character: ${t}`);e+=n}return e};t:for(;i<r.length;){const t=n.at(-1)?.type;if(void 0===t||t===mt.CloseStatement||t===mt.CloseExpression){let t="";for(;i<r.length&&("{"!==r[i]||"%"!==r[i+1]&&"{"!==r[i+1]);)t+=r[i++];if(t.length>0){n.push(new bt(t,mt.Text));continue}}s((t=>/\s/.test(t)));const e=r[i];if("-"===e||"+"===e){const t=n.at(-1)?.type;if(t===mt.Text||void 0===t)throw new SyntaxError(`Unexpected character: ${e}`);switch(t){case mt.Identifier:case mt.NumericLiteral:case mt.BooleanLiteral:case mt.StringLiteral:case mt.CloseParen:case mt.CloseSquareBracket:break;default:{++i;const t=s(wt);n.push(new bt(`${e}${t}`,t.length>0?mt.NumericLiteral:mt.UnaryOperator));continue}}}for(const[t,e]of vt)if(r.slice(i,i+t.length)===t){n.push(new bt(t,e)),i+=t.length;continue t}if("'"!==e&&'"'!==e)if(wt(e)){const t=s(wt);n.push(new bt(t,mt.NumericLiteral))}else{if(!yt(e))throw new SyntaxError(`Unexpected character: ${e}`);{const t=s(yt),e=Object.hasOwn(_t,t)?_t[t]:mt.Identifier;e===mt.In&&n.at(-1)?.type===mt.Not?(n.pop(),n.push(new bt("not in",mt.NotIn))):n.push(new bt(t,e))}}else{++i;const t=s((t=>t!==e));n.push(new bt(t,mt.StringLiteral)),++i}}return n}(t,{lstrip_blocks:!0,trim_blocks:!0});this.parsed=qt(e)}render(t){const e=new se;e.set("false",!1),e.set("true",!0),e.set("raise_exception",(t=>{throw new Error(t)})),e.set("range",Wt);for(const[n,r]of Object.entries(t))e.set(n,r);return new oe(e).run(this.parsed).value}};async function le(t,e){const n=await Promise.all([U(t,"tokenizer.json",!0,e),U(t,"tokenizer_config.json",!0,e)]);return null!==e.legacy&&(n[1].legacy=e.legacy),n}function ce(t,e=!0){if(void 0!==t.Regex){let e=t.Regex.replace(/\\([#&~])/g,"$1");for(const[t,n]of me)e=e.replaceAll(t,n);return new RegExp(e,"gu")}if(void 0!==t.String){const n=i(t.String);return new RegExp(e?n:`(${n})`,"gu")}return console.warn("Unknown pattern type:",t),null}function de(t){return new Map(Object.entries(t))}function he(t){const e=t.dims;switch(e.length){case 1:return t.tolist();case 2:if(1!==e[0])throw new Error("Unable to decode tensor with `batch size !== 1`. Use `tokenizer.batch_decode(...)` for batched inputs.");return t.tolist()[0];default:throw new Error(`Expected tensor to have 1-2 dimensions, got ${e.length}.`)}}function pe(t){return t.replace(/ \./g,".").replace(/ \?/g,"?").replace(/ \!/g,"!").replace(/ ,/g,",").replace(/ \' /g,"'").replace(/ n\'t/g,"n't").replace(/ \'m/g,"'m").replace(/ \'s/g,"'s").replace(/ \'ve/g,"'ve").replace(/ \'re/g,"'re")}function fe(t){return t.replace(/[\u0300-\u036f]/g,"")}const ge="\\p{P}\\u0021-\\u002F\\u003A-\\u0040\\u005B-\\u0060\\u007B-\\u007E",me=new Map([["(?i:'s|'t|'re|'ve|'m|'ll|'d)","(?:'([sS]|[tT]|[rR][eE]|[vV][eE]|[mM]|[lL][lL]|[dD]))"]]);class _e{constructor(t){this.content=t.content,this.id=t.id,this.single_word=t.single_word??!1,this.lstrip=t.lstrip??!1,this.rstrip=t.rstrip??!1,this.special=t.special??!1,this.normalized=t.normalized??null}}class be extends s{constructor(t){super(),this.config=t,this.vocab=[],this.tokens_to_ids=new Map,this.unk_token_id=void 0,this.unk_token=void 0,this.end_of_word_suffix=void 0,this.fuse_unk=this.config.fuse_unk??!1}static fromConfig(t,...e){switch(t.type){case"WordPiece":return new ye(t);case"Unigram":return new we(t,...e);case"BPE":return new Se(t);default:if(t.vocab)return new Ae(t,...e);throw new Error(`Unknown TokenizerModel type: ${t.type}`)}}_call(t){let e=this.encode(t);return this.fuse_unk&&(e=function(t,e,n){const r=[];let i=0;for(;i<t.length;)if(r.push(t[i]),(n.get(t[i])??e)===e)for(;i<t.length&&(n.get(t[i])??e)===e;)++i;else++i;return r}(e,this.unk_token_id,this.tokens_to_ids)),e}encode(t){throw Error("encode should be implemented in subclass.")}convert_tokens_to_ids(t){return t.map((t=>this.tokens_to_ids.get(t)??this.unk_token_id))}convert_ids_to_tokens(t){return t.map((t=>this.vocab[t]??this.unk_token))}}class ye extends be{constructor(t){super(t),this.tokens_to_ids=de(t.vocab),this.unk_token_id=this.tokens_to_ids.get(t.unk_token),this.unk_token=t.unk_token,this.max_input_chars_per_word=t.max_input_chars_per_word??100,this.vocab=new Array(this.tokens_to_ids.size);for(const[t,e]of this.tokens_to_ids)this.vocab[e]=t}encode(t){const e=[];for(const n of t){const t=[...n];if(t.length>this.max_input_chars_per_word){e.push(this.unk_token);continue}let r=!1,i=0;const s=[];for(;i<t.length;){let e=t.length,n=null;for(;i<e;){let r=t.slice(i,e).join("");if(i>0&&(r=this.config.continuing_subword_prefix+r),this.tokens_to_ids.has(r)){n=r;break}--e}if(null===n){r=!0;break}s.push(n),i=e}r?e.push(this.unk_token):e.push(...s)}return e}}class we extends be{constructor(t,e){super(t);const n=t.vocab.length;this.vocab=new Array(n),this.scores=new Array(n);for(let e=0;e<n;++e){const n=t.vocab[e];this.vocab[e]=n[0],this.scores[e]=n[1]}this.unk_token_id=t.unk_id,this.unk_token=this.vocab[t.unk_id],this.tokens_to_ids=new Map(this.vocab.map(((t,e)=>[t,e]))),this.bosToken=" ",this.bosTokenId=this.tokens_to_ids.get(this.bosToken),this.eosToken=e.eos_token,this.eosTokenId=this.tokens_to_ids.get(this.eosToken),this.unkToken=this.vocab[this.unk_token_id],this.minScore=W(this.scores)[0],this.unkScore=this.minScore-10,this.scores[this.unk_token_id]=this.unkScore,this.trie=new ht,this.trie.extend(this.vocab),this.fuse_unk=!0}populateNodes(t){const e=t.sentence,n=e.length;let r=0;for(;r<n;){const n=1;let i=!1;const s=[];for(let o of this.trie.commonPrefixSearch(e.slice(r))){s.push(o);const e=this.tokens_to_ids.get(o),a=this.scores[e],u=o.length;t.insert(r,u,a,e),i||u!==n||(i=!0)}i||t.insert(r,n,this.unkScore,this.unk_token_id),r+=n}}tokenize(t){const e=new ft(t,this.bosTokenId,this.eosTokenId);return this.populateNodes(e),e.tokens()}encode(t){const e=[];for(const n of t){const t=this.tokenize(n);e.push(...t)}return e}}const ve=(()=>{const t=[...Array.from({length:"~".charCodeAt(0)-"!".charCodeAt(0)+1},((t,e)=>e+"!".charCodeAt(0))),...Array.from({length:"¬".charCodeAt(0)-"¡".charCodeAt(0)+1},((t,e)=>e+"¡".charCodeAt(0))),...Array.from({length:"ÿ".charCodeAt(0)-"®".charCodeAt(0)+1},((t,e)=>e+"®".charCodeAt(0)))],e=t.slice();let n=0;for(let r=0;r<256;++r)t.includes(r)||(t.push(r),e.push(256+n),n+=1);const r=e.map((t=>String.fromCharCode(t)));return Object.fromEntries(t.map(((t,e)=>[t,r[e]])))})(),xe=(Te=ve,Object.fromEntries(Object.entries(Te).map((([t,e])=>[e,t]))));var Te;class Se extends be{constructor(t){super(t),this.BPE_SPLIT_TOKEN=" ",this.tokens_to_ids=de(t.vocab),this.unk_token_id=this.tokens_to_ids.get(t.unk_token),this.unk_token=t.unk_token,this.vocab=new Array(this.tokens_to_ids.size);for(const[t,e]of this.tokens_to_ids)this.vocab[e]=t;this.bpe_ranks=new Map(t.merges.map(((t,e)=>[t,e]))),this.merges=t.merges.map((t=>t.split(this.BPE_SPLIT_TOKEN))),this.end_of_word_suffix=t.end_of_word_suffix,this.continuing_subword_suffix=t.continuing_subword_suffix??null,this.byte_fallback=this.config.byte_fallback??!1,this.byte_fallback&&(this.text_encoder=new TextEncoder),this.cache=new Map}bpe(t){if(0===t.length)return[];const e=this.cache.get(t);if(void 0!==e)return e;const n=Array.from(t);this.end_of_word_suffix&&(n[n.length-1]+=this.end_of_word_suffix);let r=[];if(n.length>1){const t=new dt(((t,e)=>t.score<e.score));let e={token:n[0],bias:0,prev:null,next:null},i=e;for(let e=1;e<n.length;++e){const r={bias:e/n.length,token:n[e],prev:i,next:null};i.next=r,this._add_node(t,i),i=r}for(;!t.isEmpty();){const n=t.pop();if(n.deleted||!n.next||n.next.deleted)continue;if(n.deleted=!0,n.next.deleted=!0,n.prev){const t={...n.prev};n.prev.deleted=!0,n.prev=t,t.prev?t.prev.next=t:e=t}const r={token:n.token+n.next.token,bias:n.bias,prev:n.prev,next:n.next.next};r.prev?(r.prev.next=r,this._add_node(t,r.prev)):e=r,r.next&&(r.next.prev=r,this._add_node(t,r))}for(let t=e;null!==t;t=t.next)r.push(t.token)}else r=n;if(this.continuing_subword_suffix)for(let t=0;t<r.length-1;++t)r[t]+=this.continuing_subword_suffix;return this.cache.set(t,r),r}_add_node(t,e){const n=this.bpe_ranks.get(e.token+this.BPE_SPLIT_TOKEN+e.next.token);void 0!==n&&(e.score=n+e.bias,t.push(e))}encode(t){const e=[];for(const n of t){const t=this.bpe(n);for(const n of t)this.tokens_to_ids.has(n)?e.push(n):this.byte_fallback?e.push(...Array.from(this.text_encoder.encode(n)).map((t=>`<0x${t.toString(16).toUpperCase().padStart(2,"0")}>`))):e.push(this.unk_token)}return e}}class Ae extends be{constructor(t,e){super(t),this.tokens_to_ids=de(e.target_lang?t.vocab[e.target_lang]:t.vocab),this.bos_token=e.bos_token,this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=e.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.pad_token=e.pad_token,this.pad_token_id=this.tokens_to_ids.get(this.pad_token),this.unk_token=e.unk_token,this.unk_token_id=this.tokens_to_ids.get(this.unk_token),this.vocab=new Array(this.tokens_to_ids.size);for(const[t,e]of this.tokens_to_ids)this.vocab[e]=t}encode(t){return t}}class ke extends s{constructor(t){super(),this.config=t}static fromConfig(t){if(null===t)return null;switch(t.type){case"BertNormalizer":return new Le(t);case"Precompiled":return new un(t);case"Sequence":return new Fe(t);case"Replace":return new Oe(t);case"NFC":return new Ee(t);case"NFKC":return new Ie(t);case"NFKD":return new Pe(t);case"Strip":return new De(t);case"StripAccents":return new Ce(t);case"Lowercase":return new $e(t);case"Prepend":return new Me(t);default:throw new Error(`Unknown Normalizer type: ${t.type}`)}}normalize(t){throw Error("normalize should be implemented in subclass.")}_call(t){return this.normalize(t)}}class Oe extends ke{normalize(t){const e=ce(this.config.pattern);return null===e?t:t.replaceAll(e,this.config.content)}}class Ee extends ke{normalize(t){return t.normalize("NFC")}}class Ie extends ke{normalize(t){return t.normalize("NFKC")}}class Pe extends ke{normalize(t){return t.normalize("NFKD")}}class De extends ke{normalize(t){return this.config.strip_left&&this.config.strip_right?t=t.trim():(this.config.strip_left&&(t=t.trimStart()),this.config.strip_right&&(t=t.trimEnd())),t}}class Ce extends ke{normalize(t){return fe(t)}}class $e extends ke{normalize(t){return t.toLowerCase()}}class Me extends ke{normalize(t){return this.config.prepend+t}}class Fe extends ke{constructor(t){super(t),this.normalizers=t.normalizers.map((t=>ke.fromConfig(t)))}normalize(t){return this.normalizers.reduce(((t,e)=>e.normalize(t)),t)}}class Le extends ke{_tokenize_chinese_chars(t){const e=[];for(let n=0;n<t.length;++n){const r=t[n],i=r.charCodeAt(0);this._is_chinese_char(i)?(e.push(" "),e.push(r),e.push(" ")):e.push(r)}return e.join("")}_is_chinese_char(t){return t>=19968&&t<=40959||t>=13312&&t<=19903||t>=131072&&t<=173791||t>=173824&&t<=177983||t>=177984&&t<=178207||t>=178208&&t<=183983||t>=63744&&t<=64255||t>=194560&&t<=195103}stripAccents(t){return t.normalize("NFD").replace(/[\u0300-\u036f]/g,"")}_is_control(t){switch(t){case"\t":case"\n":case"\r":return!1;default:return/^\p{Cc}|\p{Cf}|\p{Co}|\p{Cs}$/u.test(t)}}_clean_text(t){const e=[];for(const n of t){const t=n.charCodeAt(0);0===t||65533===t||this._is_control(n)||(/^\s$/.test(n)?e.push(" "):e.push(n))}return e.join("")}normalize(t){return this.config.clean_text&&(t=this._clean_text(t)),this.config.handle_chinese_chars&&(t=this._tokenize_chinese_chars(t)),this.config.lowercase?(t=t.toLowerCase(),!1!==this.config.strip_accents&&(t=this.stripAccents(t))):this.config.strip_accents&&(t=this.stripAccents(t)),t}}class Ne extends s{static fromConfig(t){if(null===t)return null;switch(t.type){case"BertPreTokenizer":return new Re(t);case"Sequence":return new ln(t);case"Whitespace":return new cn(t);case"WhitespaceSplit":return new dn(t);case"Metaspace":return new on(t);case"ByteLevel":return new je(t);case"Split":return new ze(t);case"Punctuation":return new Be(t);case"Digits":return new Ue(t);case"Replace":return new hn(t);default:throw new Error(`Unknown PreTokenizer type: ${t.type}`)}}pre_tokenize_text(t,e){throw Error("pre_tokenize_text should be implemented in subclass.")}pre_tokenize(t,e){return(Array.isArray(t)?t.map((t=>this.pre_tokenize_text(t,e))):this.pre_tokenize_text(t,e)).flat()}_call(t,e){return this.pre_tokenize(t,e)}}class Re extends Ne{constructor(t){super(),this.pattern=new RegExp(`[^\\s${ge}]+|[${ge}]`,"gu")}pre_tokenize_text(t,e){return t.trim().match(this.pattern)||[]}}class je extends Ne{constructor(t){super(),this.config=t,this.add_prefix_space=this.config.add_prefix_space,this.trim_offsets=this.config.trim_offsets,this.use_regex=this.config.use_regex??!0,this.pattern=/'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+/gu,this.byte_encoder=ve,this.text_encoder=new TextEncoder}pre_tokenize_text(t,e){return this.add_prefix_space&&!t.startsWith(" ")&&(t=" "+t),(this.use_regex?t.match(this.pattern)||[]:[t]).map((t=>Array.from(this.text_encoder.encode(t),(t=>this.byte_encoder[t])).join("")))}}class ze extends Ne{constructor(t){super(),this.config=t,this.pattern=ce(this.config.pattern,this.config.invert)}pre_tokenize_text(t,e){return null===this.pattern?[]:this.config.invert?t.match(this.pattern)||[]:function(t,e){const n=[];let r=0;for(const i of t.matchAll(e)){const e=i[0];r<i.index&&n.push(t.slice(r,i.index)),e.length>0&&n.push(e),r=i.index+e.length}return r<t.length&&n.push(t.slice(r)),n}(t,this.pattern)}}class Be extends Ne{constructor(t){super(),this.config=t,this.pattern=new RegExp(`[^${ge}]+|[${ge}]+`,"gu")}pre_tokenize_text(t,e){return t.match(this.pattern)||[]}}class Ue extends Ne{constructor(t){super(),this.config=t;const e="[^\\d]+|\\d"+(this.config.individual_digits?"":"+");this.pattern=new RegExp(e,"gu")}pre_tokenize_text(t,e){return t.match(this.pattern)||[]}}class Ve extends s{constructor(t){super(),this.config=t}static fromConfig(t){if(null===t)return null;switch(t.type){case"TemplateProcessing":return new We(t);case"ByteLevel":return new He(t);case"RobertaProcessing":return new qe(t);case"BertProcessing":return new Ge(t);default:throw new Error(`Unknown PostProcessor type: ${t.type}`)}}post_process(t,...e){throw Error("post_process should be implemented in subclass.")}_call(t,...e){return this.post_process(t,...e)}}class Ge extends Ve{constructor(t){super(t),this.cls=t.cls[0],this.sep=t.sep[0]}post_process(t,e=null,{add_special_tokens:n=!0}={}){n&&(t=l([this.cls],t,[this.sep]));let r=new Array(t.length).fill(0);if(null!==e){const i=n&&this instanceof qe?[this.sep]:[],s=n?[this.sep]:[];t=l(t,i,e,s),r=l(r,new Array(e.length+i.length+s.length).fill(1))}return{tokens:t,token_type_ids:r}}}class qe extends Ge{}class We extends Ve{constructor(t){super(t),this.single=t.single,this.pair=t.pair}post_process(t,e=null,{add_special_tokens:n=!0}={}){const r=null===e?this.single:this.pair;let i=[],s=[];for(const o of r)"SpecialToken"in o?n&&(i.push(o.SpecialToken.id),s.push(o.SpecialToken.type_id)):"Sequence"in o&&("A"===o.Sequence.id?(i=l(i,t),s=l(s,new Array(t.length).fill(o.Sequence.type_id))):"B"===o.Sequence.id&&(i=l(i,e),s=l(s,new Array(e.length).fill(o.Sequence.type_id))));return{tokens:i,token_type_ids:s}}}class He extends Ve{post_process(t,e=null){return e&&(t=l(t,e)),{tokens:t}}}class Xe extends s{constructor(t){super(),this.config=t,this.added_tokens=[],this.end_of_word_suffix=null,this.trim_offsets=t.trim_offsets}static fromConfig(t){if(null===t)return null;switch(t.type){case"WordPiece":return new Qe(t);case"Metaspace":return new an(t);case"ByteLevel":return new tn(t);case"Replace":return new Ye(t);case"ByteFallback":return new Ke(t);case"Fuse":return new Ze(t);case"Strip":return new Je(t);case"Sequence":return new nn(t);case"CTC":return new en(t);case"BPEDecoder":return new rn(t);default:throw new Error(`Unknown Decoder type: ${t.type}`)}}_call(t){return this.decode(t)}decode(t){return this.decode_chain(t).join("")}decode_chain(t){throw Error("`decode_chain` should be implemented in subclass.")}}class Ye extends Xe{decode_chain(t){const e=ce(this.config.pattern);return null===e?t:t.map((t=>t.replaceAll(e,this.config.content)))}}class Ke extends Xe{constructor(t){super(t),this.text_decoder=new TextDecoder}decode_chain(t){const e=[];let n=[];for(const r of t){let t=null;if(6===r.length&&r.startsWith("<0x")&&r.endsWith(">")){const e=parseInt(r.slice(3,5),16);isNaN(e)||(t=e)}if(null!==t)n.push(t);else{if(n.length>0){const t=this.text_decoder.decode(Uint8Array.from(n));e.push(t),n=[]}e.push(r)}}if(n.length>0){const t=this.text_decoder.decode(Uint8Array.from(n));e.push(t),n=[]}return e}}class Ze extends Xe{decode_chain(t){return[t.join("")]}}class Je extends Xe{constructor(t){super(t),this.content=this.config.content,this.start=this.config.start,this.stop=this.config.stop}decode_chain(t){return t.map((t=>{let e=0;for(let n=0;n<this.start&&t[n]===this.content;++n)e=n+1;let n=t.length;for(let e=0;e<this.stop;++e){const r=t.length-e-1;if(t[r]!==this.content)break;n=r}return t.slice(e,n)}))}}class Qe extends Xe{constructor(t){super(t),this.cleanup=t.cleanup}decode_chain(t){return t.map(((t,e)=>(0!==e&&(t=t.startsWith(this.config.prefix)?t.replace(this.config.prefix,""):" "+t),this.cleanup&&(t=pe(t)),t)))}}class tn extends Xe{constructor(t){super(t),this.byte_decoder=xe,this.text_decoder=new TextDecoder("utf-8",{fatal:!1,ignoreBOM:!0}),this.end_of_word_suffix=null}convert_tokens_to_string(t){const e=t.join(""),n=new Uint8Array([...e].map((t=>this.byte_decoder[t])));return this.text_decoder.decode(n)}decode_chain(t){const e=[];let n=[];for(const r of t)void 0!==this.added_tokens.find((t=>t.content===r))?(n.length>0&&(e.push(this.convert_tokens_to_string(n)),n=[]),e.push(r)):n.push(r);return n.length>0&&e.push(this.convert_tokens_to_string(n)),e}}class en extends Xe{constructor(t){super(t),this.pad_token=this.config.pad_token,this.word_delimiter_token=this.config.word_delimiter_token,this.cleanup=this.config.cleanup}convert_tokens_to_string(t){if(0===t.length)return"";const e=[t[0]];for(let n=1;n<t.length;++n)t[n]!==e.at(-1)&&e.push(t[n]);let n=e.filter((t=>t!==this.pad_token)).join("");return this.cleanup&&(n=pe(n).replaceAll(this.word_delimiter_token," ").trim()),n}decode_chain(t){return[this.convert_tokens_to_string(t)]}}class nn extends Xe{constructor(t){super(t),this.decoders=t.decoders.map((t=>Xe.fromConfig(t)))}decode_chain(t){return this.decoders.reduce(((t,e)=>e.decode_chain(t)),t)}}class rn extends Xe{constructor(t){super(t),this.suffix=this.config.suffix}decode_chain(t){return t.map(((e,n)=>e.replaceAll(this.suffix,n===t.length-1?"":" ")))}}class sn extends Xe{decode_chain(t){let e="";for(let n=1;n<t.length;n+=2)e+=t[n];return[e]}}class on extends Ne{constructor(t){super(),this.addPrefixSpace=t.add_prefix_space,this.replacement=t.replacement,this.strRep=t.str_rep||this.replacement,this.prepend_scheme=t.prepend_scheme??"always"}pre_tokenize_text(t,{section_index:e}={}){let n=t.replaceAll(" ",this.strRep);return this.addPrefixSpace&&!n.startsWith(this.replacement)&&("always"===this.prepend_scheme||"first"===this.prepend_scheme&&0===e)&&(n=this.strRep+n),[n]}}class an extends Xe{constructor(t){super(t),this.addPrefixSpace=t.add_prefix_space,this.replacement=t.replacement}decode_chain(t){const e=[];for(let n=0;n<t.length;++n){let r=t[n].replaceAll(this.replacement," ");this.addPrefixSpace&&0==n&&r.startsWith(" ")&&(r=r.substring(1)),e.push(r)}return e}}class un extends ke{constructor(t){super(t),this.charsmap=t.precompiled_charsmap}normalize(t){if((t=(t=t.replace(/[\u0001-\u0008\u000B\u000E-\u001F\u007F\u008F\u009F]/gm,"")).replace(/[\u0009\u000A\u000C\u000D\u1680\u200B\u200C\u200E\u200F\u2028\u2029\u2581\uFEFF\uFFFD]/gm," ")).includes("～")){const e=t.split("～");t=e.map((t=>t.normalize("NFKC"))).join("～")}else t=t.normalize("NFKC");return t}}class ln extends Ne{constructor(t){super(),this.tokenizers=t.pretokenizers.map((t=>Ne.fromConfig(t)))}pre_tokenize_text(t,e){return this.tokenizers.reduce(((t,n)=>n.pre_tokenize(t,e)),[t])}}class cn extends Ne{constructor(t){super()}pre_tokenize_text(t,e){return t.match(/\w+|[^\w\s]+/g)||[]}}class dn extends Ne{constructor(t){super()}pre_tokenize_text(t,e){return function(t){return t.match(/\S+/g)||[]}(t)}}class hn extends Ne{constructor(t){super(),this.config=t,this.pattern=ce(this.config.pattern),this.content=this.config.content}pre_tokenize_text(t,e){return null===this.pattern?[t]:[t.replaceAll(this.pattern,this.config.content)]}}const pn=["bos_token","eos_token","unk_token","sep_token","pad_token","cls_token","mask_token"];function fn(t,e,n,r){for(const i of Object.keys(t)){const s=e-t[i].length,o=n(i),a=new Array(s).fill(o);t[i]="right"===r?l(t[i],a):l(a,t[i])}}function gn(t,e){for(const n of Object.keys(t))t[n].length=e}class mn extends s{return_token_type_ids=!1;_default_chat_template="{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}";constructor(t,e){super(),this._tokenizer_config=e,this.normalizer=ke.fromConfig(t.normalizer),this.pre_tokenizer=Ne.fromConfig(t.pre_tokenizer),this.model=be.fromConfig(t.model,e),this.post_processor=Ve.fromConfig(t.post_processor),this.decoder=Xe.fromConfig(t.decoder),this.special_tokens=[],this.all_special_ids=[],this.added_tokens=[];for(const e of t.added_tokens){const t=new _e(e);this.added_tokens.push(t),this.model.tokens_to_ids.set(t.content,t.id),this.model.vocab[t.id]=t.content,t.special&&(this.special_tokens.push(t.content),this.all_special_ids.push(t.id))}if(this.additional_special_tokens=e.additional_special_tokens??[],this.special_tokens.push(...this.additional_special_tokens),this.special_tokens=[...new Set(this.special_tokens)],this.decoder&&(this.decoder.added_tokens=this.added_tokens,this.decoder.end_of_word_suffix=this.model.end_of_word_suffix),this.added_tokens_regex=this.added_tokens.length>0?new RegExp(this.added_tokens.map((t=>`${t.lstrip?"\\s*":""}(${i(t.content)})${t.rstrip?"\\s*":""}`)).join("|")):null,this.mask_token=this.getToken("mask_token"),this.mask_token_id=this.model.tokens_to_ids.get(this.mask_token),this.pad_token=this.getToken("pad_token","eos_token"),this.pad_token_id=this.model.tokens_to_ids.get(this.pad_token),this.sep_token=this.getToken("sep_token"),this.sep_token_id=this.model.tokens_to_ids.get(this.sep_token),this.unk_token=this.getToken("unk_token"),this.unk_token_id=this.model.tokens_to_ids.get(this.unk_token),this.model_max_length=e.model_max_length,this.remove_space=e.remove_space,this.clean_up_tokenization_spaces=e.clean_up_tokenization_spaces??!0,this.do_lowercase_and_remove_accent=e.do_lowercase_and_remove_accent??!1,this.padding_side="right",this.legacy=!1,this.chat_template=e.chat_template??null,Array.isArray(this.chat_template)){const t=Object.create(null);for(const{name:e,template:n}of this.chat_template){if("string"!=typeof e||"string"!=typeof n)throw new Error('Chat template must be a list of objects with "name" and "template" properties');t[e]=n}this.chat_template=t}this._compiled_template_cache=new Map}getToken(...t){for(const e of t){const t=this._tokenizer_config[e];if(t){if("object"==typeof t){if("AddedToken"===t.__type)return t.content;throw Error(`Unknown token: ${t}`)}return t}}return null}static async from_pretrained(t,{progress_callback:e=null,config:n=null,cache_dir:r=null,local_files_only:i=!1,revision:s="main",legacy:o=null}={}){return new this(...await le(t,{progress_callback:e,config:n,cache_dir:r,local_files_only:i,revision:s,legacy:o}))}_call(t,{text_pair:e=null,add_special_tokens:n=!0,padding:r=!1,truncation:i=null,max_length:s=null,return_tensor:o=!0}={}){const a=Array.isArray(t);let u;if(a){if(0===t.length)throw Error("text array must be non-empty");if(null!==e){if(!Array.isArray(e))throw Error("text_pair must also be an array");if(t.length!==e.length)throw Error("text and text_pair must have the same length");u=t.map(((t,r)=>this._encode_plus(t,e[r],{add_special_tokens:n})))}else u=t.map((t=>this._encode_plus(t,null,{add_special_tokens:n})))}else{if(null===t)throw Error("text may not be null");if(Array.isArray(e))throw Error("When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array).");u=[this._encode_plus(t,e,{add_special_tokens:n})]}if(null===s?s="max_length"===r?this.model_max_length:H(u.map((t=>t.input_ids.length)))[0]:i||console.warn("Truncation was not explicitly activated but `max_length` is provided a specific value, please use `truncation=true` to explicitly truncate examples to max length."),s=Math.min(s,this.model_max_length),r||i)for(let t=0;t<u.length;++t)u[t].input_ids.length!==s&&(u[t].input_ids.length>s?i&&gn(u[t],s):r&&fn(u[t],s,(t=>"input_ids"===t?this.pad_token_id:0),this.padding_side));const l={};if(o){if((!r||!i)&&u.some((t=>{for(const e of Object.keys(t))if(t[e].length!==u[0][e]?.length)return!0;return!1})))throw Error("Unable to create tensor, you should probably activate truncation and/or padding with 'padding=true' and 'truncation=true' to have batched tensors with the same length.");const t=[u.length,u[0].input_ids.length];for(const e of Object.keys(u[0]))l[e]=new nt("int64",BigInt64Array.from(u.flatMap((t=>t[e])).map(BigInt)),t)}else{for(const t of Object.keys(u[0]))l[t]=u.map((e=>e[t]));if(!a)for(const t of Object.keys(l))l[t]=l[t][0]}return l}_encode_text(t){if(null===t)return null;const e=(this.added_tokens_regex?t.split(this.added_tokens_regex).filter((t=>t)):[t]).map(((t,e)=>{if(void 0!==this.added_tokens.find((e=>e.content===t)))return t;{if(!0===this.remove_space&&(t=t.trim().split(/\s+/).join(" ")),this.do_lowercase_and_remove_accent&&(t=function(t){return fe(t.toLowerCase())}(t)),null!==this.normalizer&&(t=this.normalizer(t)),0===t.length)return[];const n=null!==this.pre_tokenizer?this.pre_tokenizer(t,{section_index:e}):[t];return this.model(n)}})).flat();return e}_encode_plus(t,e=null,{add_special_tokens:n=!0}={}){const r=this._encode_text(t),i=this._encode_text(e),s=this.post_processor?this.post_processor(r,i,{add_special_tokens:n}):{tokens:l(r??[],i??[])},o=this.model.convert_tokens_to_ids(s.tokens),a={input_ids:o,attention_mask:new Array(o.length).fill(1)};return this.return_token_type_ids&&s.token_type_ids&&(a.token_type_ids=s.token_type_ids),a}encode(t,e=null,{add_special_tokens:n=!0}={}){const{input_ids:r}=this._encode_plus(t,e,{add_special_tokens:n});return r}batch_decode(t,e={}){return t instanceof nt&&(t=t.tolist()),t.map((t=>this.decode(t,e)))}decode(t,e={}){if(t instanceof nt&&(t=he(t)),!Array.isArray(t)||0===t.length||!o(t[0]))throw Error("token_ids must be a non-empty array of integers.");return this.decode_single(t,e)}decode_single(t,{skip_special_tokens:e=!1,clean_up_tokenization_spaces:n=null}){let r=this.model.convert_ids_to_tokens(t);e&&(r=r.filter((t=>!this.special_tokens.includes(t))));let i=this.decoder?this.decoder(r):r.join(" ");return this.decoder&&this.decoder.end_of_word_suffix&&(i=i.replaceAll(this.decoder.end_of_word_suffix," "),e&&(i=i.trim())),(n??this.clean_up_tokenization_spaces)&&(i=pe(i)),i}get default_chat_template(){return this._warned_about_chat_template||(console.warn("No chat template is defined for this tokenizer - using a default chat template that implements the ChatML format. If the default is not appropriate for your model, please set `tokenizer.chat_template` to an appropriate template. See https://huggingface.co/docs/transformers/main/chat_templating for more information."),this._warned_about_chat_template=!0),this._default_chat_template}apply_chat_template(t,{chat_template:e=null,add_generation_prompt:n=!1,tokenize:r=!0,padding:i=!1,truncation:s=!1,max_length:o=null,return_tensor:a=!0,tokenizer_kwargs:u={},...l}={}){if(this.chat_template&&"object"==typeof this.chat_template||null===this.chat_template&&this.default_chat_template&&"object"==typeof this.default_chat_template){const t=this.chat_template??this.default_chat_template;if(null!==e&&Object.hasOwn(t,e))e=t[e];else if(null===e&&"default"in t)e=t.default;else if(null===e)throw Error(`This model has multiple chat templates with no default specified! Please either pass a chat template or the name of the template you wish to use to the 'chat_template' argument. Available template names are ${Object.keys(t).sort()}.`)}else e??=this.chat_template??this.default_chat_template;if("string"!=typeof e)throw Error("chat_template must be a string, but got "+typeof e);let c=this._compiled_template_cache.get(e);void 0===c&&(c=new ue(e),this._compiled_template_cache.set(e,c));const d=Object.create(null);for(const t of pn){const e=this.getToken(t);e&&(d[t]=e)}const h=c.render({messages:t,add_generation_prompt:n,...d,...l});return r?this._call(h,{add_special_tokens:!1,padding:i,truncation:s,max_length:o,return_tensor:a,...u}).input_ids:h}}class _n extends mn{return_token_type_ids=!0}class bn extends mn{return_token_type_ids=!0}class yn extends mn{return_token_type_ids=!0}class wn extends mn{return_token_type_ids=!0}class vn extends mn{return_token_type_ids=!0}class xn extends mn{return_token_type_ids=!0}class Tn extends mn{return_token_type_ids=!0}class Sn extends mn{return_token_type_ids=!0}class An extends mn{return_token_type_ids=!0}class kn extends mn{}class On extends mn{}class En extends mn{return_token_type_ids=!0;constructor(t,e){super(t,e),console.warn('WARNING: `XLMTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}}class In extends mn{return_token_type_ids=!0}class Pn extends mn{}class Dn extends mn{_default_chat_template='{% for message in messages %}" "{{ message.content }}{{ eos_token }}" "{% endfor %}'}class Cn extends mn{}class $n extends mn{constructor(t,e){super(t,e),this.languageRegex=/^[a-z]{2}_[A-Z]{2}$/,this.language_codes=this.special_tokens.filter((t=>this.languageRegex.test(t))),this.lang_to_token=t=>t}_build_translation_inputs(t,e,n){return Xn(this,t,e,n)}}class Mn extends $n{}class Fn extends mn{}class Ln extends Dn{constructor(t,e){const n=".,!?…。，、।۔،",r=t.pre_tokenizer?.pretokenizers[0]?.pattern;r&&r.Regex===` ?[^(\\s|[${n}])]+`&&(r.Regex=` ?[^\\s${n}]+`),super(t,e)}}const Nn="▁";class Rn extends mn{_default_chat_template="{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% elif USE_DEFAULT_PROMPT == true and not '<<SYS>>' in messages[0]['content'] %}{% set loop_messages = messages %}{% set system_message = 'DEFAULT_SYSTEM_MESSAGE' %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>\n' + system_message + '\n<</SYS>>\n\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + content.strip() + ' [/INST]' }}{% elif message['role'] == 'system' %}{{ '<<SYS>>\n' + content.strip() + '\n<</SYS>>\n\n' }}{% elif message['role'] == 'assistant' %}{{ ' '  + content.strip() + ' ' + eos_token }}{% endif %}{% endfor %}";DEFAULT_SYSTEM_PROMPT="You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.\n\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.";constructor(t,e){super(t,e),this.use_default_system_prompt=e.use_default_system_prompt??!1,this.legacy=e.legacy??!0,this.legacy||(this.normalizer=null,this.pre_tokenizer=new on({replacement:Nn,add_prefix_space:!0,prepend_scheme:"first"}))}_encode_text(t){if(null===t)return null;if(this.legacy||0===t.length)return super._encode_text(t);let e=super._encode_text(Nn+t.replaceAll(Nn," "));return e.length>1&&e[0]===Nn&&this.special_tokens.includes(e[1])&&(e=e.slice(1)),e}get default_chat_template(){return super.default_chat_template.replaceAll("USE_DEFAULT_PROMPT",this.use_default_system_prompt?"true":"false").replaceAll("DEFAULT_SYSTEM_MESSAGE",this.DEFAULT_SYSTEM_PROMPT.replaceAll("\n","\\n").replaceAll("'","\\'"))}}class jn extends Rn{}class zn extends mn{}class Bn extends mn{}class Un extends mn{}class Vn extends mn{}class Gn extends mn{}class qn extends mn{}class Wn extends mn{_default_chat_template="{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\n' + message['content'] | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}"}class Hn extends mn{}function Xn(t,e,n,r){if(!("language_codes"in t)||!Array.isArray(t.language_codes))throw new Error("Tokenizer must have `language_codes` attribute set and it should be an array of language ids.");if(!("languageRegex"in t&&t.languageRegex instanceof RegExp))throw new Error("Tokenizer must have `languageRegex` attribute set and it should be a regular expression.");if(!("lang_to_token"in t)||"function"!=typeof t.lang_to_token)throw new Error("Tokenizer must have `lang_to_token` attribute set and it should be a function.");const i=r.src_lang,s=r.tgt_lang;if(!t.language_codes.includes(s))throw new Error(`Target language code "${s}" is not valid. Must be one of: {${t.language_codes.join(", ")}}`);if(void 0!==i){if(!t.language_codes.includes(i))throw new Error(`Source language code "${i}" is not valid. Must be one of: {${t.language_codes.join(", ")}}`);for(const e of t.post_processor.config.single)if("SpecialToken"in e&&t.languageRegex.test(e.SpecialToken.id)){e.SpecialToken.id=t.lang_to_token(i);break}}return r.forced_bos_token_id=t.model.convert_tokens_to_ids([t.lang_to_token(s)])[0],t._call(e,n)}class Yn extends mn{constructor(t,e){super(t,e),this.languageRegex=/^[a-z]{3}_[A-Z][a-z]{3}$/,this.language_codes=this.special_tokens.filter((t=>this.languageRegex.test(t))),this.lang_to_token=t=>t}_build_translation_inputs(t,e,n){return Xn(this,t,e,n)}}class Kn extends mn{constructor(t,e){super(t,e),this.languageRegex=/^__[a-z]{2,3}__$/,this.language_codes=this.special_tokens.filter((t=>this.languageRegex.test(t))).map((t=>t.slice(2,-2))),this.lang_to_token=t=>`__${t}__`}_build_translation_inputs(t,e,n){return Xn(this,t,e,n)}}const Zn=[["en","english"],["zh","chinese"],["de","german"],["es","spanish"],["ru","russian"],["ko","korean"],["fr","french"],["ja","japanese"],["pt","portuguese"],["tr","turkish"],["pl","polish"],["ca","catalan"],["nl","dutch"],["ar","arabic"],["sv","swedish"],["it","italian"],["id","indonesian"],["hi","hindi"],["fi","finnish"],["vi","vietnamese"],["he","hebrew"],["uk","ukrainian"],["el","greek"],["ms","malay"],["cs","czech"],["ro","romanian"],["da","danish"],["hu","hungarian"],["ta","tamil"],["no","norwegian"],["th","thai"],["ur","urdu"],["hr","croatian"],["bg","bulgarian"],["lt","lithuanian"],["la","latin"],["mi","maori"],["ml","malayalam"],["cy","welsh"],["sk","slovak"],["te","telugu"],["fa","persian"],["lv","latvian"],["bn","bengali"],["sr","serbian"],["az","azerbaijani"],["sl","slovenian"],["kn","kannada"],["et","estonian"],["mk","macedonian"],["br","breton"],["eu","basque"],["is","icelandic"],["hy","armenian"],["ne","nepali"],["mn","mongolian"],["bs","bosnian"],["kk","kazakh"],["sq","albanian"],["sw","swahili"],["gl","galician"],["mr","marathi"],["pa","punjabi"],["si","sinhala"],["km","khmer"],["sn","shona"],["yo","yoruba"],["so","somali"],["af","afrikaans"],["oc","occitan"],["ka","georgian"],["be","belarusian"],["tg","tajik"],["sd","sindhi"],["gu","gujarati"],["am","amharic"],["yi","yiddish"],["lo","lao"],["uz","uzbek"],["fo","faroese"],["ht","haitian creole"],["ps","pashto"],["tk","turkmen"],["nn","nynorsk"],["mt","maltese"],["sa","sanskrit"],["lb","luxembourgish"],["my","myanmar"],["bo","tibetan"],["tl","tagalog"],["mg","malagasy"],["as","assamese"],["tt","tatar"],["haw","hawaiian"],["ln","lingala"],["ha","hausa"],["ba","bashkir"],["jw","javanese"],["su","sundanese"]],Jn=new Map(Zn),Qn=new Map([...Zn.map((([t,e])=>[e,t])),["burmese","my"],["valencian","ca"],["flemish","nl"],["haitian","ht"],["letzeburgesch","lb"],["pushto","ps"],["panjabi","pa"],["moldavian","ro"],["moldovan","ro"],["sinhalese","si"],["castilian","es"]]);class tr extends mn{_default_chat_template='{% for message in messages %}" "{{ message.content }}{{ eos_token }}" "{% endfor %}';_decode_asr(t,{return_timestamps:e=!1,return_language:n=!1,time_precision:r=null,force_full_sequences:i=!0}={}){if(null===r)throw Error("Must specify time_precision");let s=null;const o="word"===e;function a(){return{language:s,timestamp:[null,null],text:""}}const u=[];let l=a(),c=0;const d=this.model.convert_tokens_to_ids(["<|notimestamps|>"])[0]+1;let h=[],p=[],f=!1,g=null;const m=new Set(this.all_special_ids);for(const n of t){const t=n.tokens,i=o?n.token_timestamps:null;let _=null,b=d;if("stride"in n){const[e,i,s]=n.stride;if(c-=i,g=e-s,i&&(b=i/r+d),s)for(let e=t.length-1;e>=0;--e){const n=t[e];if(n>=d){if(null!==_&&(n-d)*r<g)break;_=n}}}let y=[],w=[];for(let n=0;n<t.length;++n){const g=t[n];if(m.has(g)){const t=this.decode([g]),n=Jn.get(t.slice(2,-2));if(void 0!==n){if(null!==s&&n!==s&&!e){h.push(y);const t=this.findLongestCommonSequence(h)[0],e=this.decode(t);l.text=e,u.push(l),h=[],y=[],l=a()}s=l.language=n}}else if(g>=d){const t=Q((g-d)*r+c,2);if(null!==_&&g>=_)f=!0;else if(f||h.length>0&&g<b)f=!1;else if(null===l.timestamp[0])l.timestamp[0]=t;else if(t===l.timestamp[0]);else{l.timestamp[1]=t,h.push(y),o&&p.push(w);const[e,n]=this.findLongestCommonSequence(h,p),r=this.decode(e);l.text=r,o&&(l.words=this.collateWordTimestamps(e,n,s)),u.push(l),h=[],y=[],p=[],w=[],l=a()}}else if(y.push(g),o){let t,e=Q(i[n]+c,2);t=n+1<i.length?Q(i[n+1]+c,2):null,w.push([e,t])}}if("stride"in n){const[t,e,r]=n.stride;c+=t-r}y.length>0?(h.push(y),o&&p.push(w)):h.every((t=>0===t.length))&&(l=a(),h=[],y=[],p=[],w=[])}if(h.length>0){if(i&&e)throw new Error("Whisper did not predict an ending timestamp, which can happen if audio is cut off in the middle of a word. Also make sure WhisperTimeStampLogitsProcessor was used during generation.");const[t,n]=this.findLongestCommonSequence(h,p),r=this.decode(t);l.text=r,o&&(l.words=this.collateWordTimestamps(t,n,s)),u.push(l)}let _=Object.create(null);const b=u.map((t=>t.text)).join("");if(e||n){for(let t=0;t<u.length;++t){const r=u[t];e||delete r.timestamp,n||delete r.language}if(o){const t=[];for(const e of u)for(const n of e.words)t.push(n);_={chunks:t}}else _={chunks:u}}return[b,_]}findLongestCommonSequence(t,e=null){let n=t[0],r=n.length,i=[];const s=Array.isArray(e)&&e.length>0;let o=s?[]:null,a=s?e[0]:null;for(let u=1;u<t.length;++u){const l=t[u];let c=0,d=[r,r,0,0];const h=l.length;for(let t=1;t<r+h;++t){const e=t/1e4,i=Math.max(0,r-t),s=Math.min(r,r+h-t),o=n.slice(i,s),a=Math.max(0,t-r),u=Math.min(h,t),p=l.slice(a,u);if(o.length!==p.length)throw new Error("There is a bug within whisper `decode_asr` function, please report it. Dropping to prevent bad inference.");const f=o.filter(((t,e)=>t===p[e])).length,g=f/t+e;f>1&&g>c&&(c=g,d=[i,s,a,u])}const[p,f,g,m]=d,_=Math.floor((f+p)/2),b=Math.floor((m+g)/2);i.push(...n.slice(0,_)),n=l.slice(b),r=n.length,s&&(o.push(...a.slice(0,_)),a=e[u].slice(b))}return i.push(...n),s?(o.push(...a),[i,o]):[i,[]]}collateWordTimestamps(t,e,n){const[r,i,s]=this.combineTokensIntoWords(t,n),o=[];for(let t=0;t<r.length;++t){const n=s[t];o.push({text:r[t],timestamp:[e[n.at(0)][0],e[n.at(-1)][1]]})}return o}combineTokensIntoWords(t,e,n="\"'“¡¿([{-",r="\"'.。,，!！?？:：”)]}、"){let i,s,o;return["chinese","japanese","thai","lao","myanmar"].includes(e=e??"english")?[i,s,o]=this.splitTokensOnUnicode(t):[i,s,o]=this.splitTokensOnSpaces(t),this.mergePunctuations(i,s,o,n,r)}decode(t,e){let n;return e&&e.decode_with_timestamps?(t instanceof nt&&(t=he(t)),n=this.decodeWithTimestamps(t,e)):n=super.decode(t,e),n}decodeWithTimestamps(t,e){const n=e?.time_precision??.02,r=Array.from(this.all_special_ids).at(-1)+1;let i=[[]];for(const e of t)if(e>=r){const t=Q((e-r)*n,2);i.push(`<|${t}|>`),i.push([])}else i[i.length-1].push(e);return i=i.map((t=>"string"==typeof t?t:super.decode(t,e))),i.join("")}splitTokensOnUnicode(t){const e=this.decode(t,{decode_with_timestamps:!0}),n=[],r=[],i=[];let s=[],o=[],a=0;for(let u=0;u<t.length;++u){const l=t[u];s.push(l),o.push(u);const c=this.decode(s,{decode_with_timestamps:!0});c.includes("�")&&"�"!==e[a+c.indexOf("�")]||(n.push(c),r.push(s),i.push(o),s=[],o=[],a+=c.length)}return[n,r,i]}splitTokensOnSpaces(t){const[e,n,r]=this.splitTokensOnUnicode(t),i=[],s=[],o=[],a=new RegExp(`^[${ge}]$`,"gu");for(let t=0;t<e.length;++t){const u=e[t],l=n[t],c=r[t],d=l[0]>=this.model.tokens_to_ids.get("<|endoftext|>"),h=u.startsWith(" "),p=u.trim(),f=a.test(p);if(d||h||f||0===i.length)i.push(u),s.push(l),o.push(c);else{const t=i.length-1;i[t]+=u,s[t].push(...l),o[t].push(...c)}}return[i,s,o]}mergePunctuations(t,e,n,r,i){const s=structuredClone(t),o=structuredClone(e),a=structuredClone(n);let u=s.length-2,c=s.length-1;for(;u>=0;)s[u].startsWith(" ")&&r.includes(s[u].trim())?(s[c]=s[u]+s[c],o[c]=l(o[u],o[c]),a[c]=l(a[u],a[c]),s[u]="",o[u]=[],a[u]=[]):c=u,--u;for(u=0,c=1;c<s.length;)!s[u].endsWith(" ")&&i.includes(s[c])?(s[u]+=s[c],o[u]=l(o[u],o[c]),a[u]=l(a[u],a[c]),s[c]="",o[c]=[],a[c]=[]):u=c,++c;return[s.filter((t=>t)),o.filter((t=>t.length>0)),a.filter((t=>t.length>0))]}get_decoder_prompt_ids({language:t=null,task:e=null,no_timestamps:n=!0}={}){const r=[];if(t){t=t.toLowerCase();let e=Qn.get(t);if(void 0===e){if(!Jn.has(t)){const e=2===t.length?Jn.keys():Jn.values();throw new Error(`Language "${t}" is not supported. Must be one of: ${JSON.stringify(e)}`)}e=t}const n=this.model.tokens_to_ids.get(`<|${e}|>`);if(void 0===n)throw new Error(`Unable to find language "${e}" in model vocabulary. Please report this issue at https://github.com/xenova/transformers.js/issues/new/choose.`);r.push(n)}else r.push(null);if(e){if("transcribe"!==(e=e.toLowerCase())&&"translate"!==e)throw new Error(`Task "${e}" is not supported. Must be one of: ["transcribe", "translate"]`);const t=this.model.tokens_to_ids.get(`<|${e}|>`);if(void 0===t)throw new Error(`Unable to find task "${e}" in model vocabulary. Please report this issue at https://github.com/xenova/transformers.js/issues/new/choose.`);r.push(t)}else r.push(null);if(n){const t=this.model.tokens_to_ids.get("<|notimestamps|>");if(void 0===t)throw new Error('Unable to find "<|notimestamps|>" in model vocabulary. Please report this issue at https://github.com/xenova/transformers.js/issues/new/choose.');r.push(t)}return r.map(((t,e)=>[e+1,t])).filter((t=>null!==t[1]))}}class er extends mn{}class nr extends mn{}class rr extends mn{}class ir extends mn{constructor(t,e){super(t,e),this.languageRegex=/^(>>\w+<<)\s*/g,this.supported_language_codes=this.model.vocab.filter((t=>this.languageRegex.test(t))),console.warn('WARNING: `MarianTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}_encode_text(t){if(null===t)return null;const[e,...n]=t.trim().split(this.languageRegex);if(0===n.length)return super._encode_text(e);if(2===n.length){const[t,e]=n;return this.supported_language_codes.includes(t)||console.warn(`Unsupported language code "${t}" detected, which may lead to unexpected behavior. Should be one of: ${JSON.stringify(this.supported_language_codes)}`),l([t],super._encode_text(e))}}}class sr extends mn{}class or extends mn{_default_chat_template="{% for message in messages %}{% if message['role'] == 'user' %}{{ ' ' }}{% endif %}{{ message['content'] }}{% if not loop.last %}{{ '  ' }}{% endif %}{% endfor %}{{ eos_token }}"}class ar extends or{}class ur extends mn{}class lr extends mn{}class cr extends mn{constructor(t,e){super(t,e),this.decoder=new sn({})}}class dr extends mn{}class hr{static TOKENIZER_CLASS_MAPPING={T5Tokenizer:Pn,DistilBertTokenizer:kn,CamembertTokenizer:On,DebertaTokenizer:vn,DebertaV2Tokenizer:xn,BertTokenizer:_n,HerbertTokenizer:Tn,ConvBertTokenizer:Sn,RoFormerTokenizer:An,XLMTokenizer:En,ElectraTokenizer:In,MobileBertTokenizer:yn,SqueezeBertTokenizer:wn,AlbertTokenizer:bn,GPT2Tokenizer:Dn,BartTokenizer:Cn,MBartTokenizer:$n,MBart50Tokenizer:Mn,RobertaTokenizer:Fn,WhisperTokenizer:tr,CodeGenTokenizer:er,CLIPTokenizer:nr,SiglipTokenizer:rr,MarianTokenizer:ir,BloomTokenizer:Ln,NllbTokenizer:Yn,M2M100Tokenizer:Kn,LlamaTokenizer:Rn,CodeLlamaTokenizer:jn,XLMRobertaTokenizer:zn,MPNetTokenizer:Bn,FalconTokenizer:Un,GPTNeoXTokenizer:Vn,EsmTokenizer:Gn,Wav2Vec2CTCTokenizer:sr,BlenderbotTokenizer:or,BlenderbotSmallTokenizer:ar,SpeechT5Tokenizer:ur,NougatTokenizer:lr,VitsTokenizer:cr,Qwen2Tokenizer:qn,GemmaTokenizer:Wn,Grok1Tokenizer:Hn,CohereTokenizer:dr,PreTrainedTokenizer:mn};static async from_pretrained(t,{quantized:e=!0,progress_callback:n=null,config:r=null,cache_dir:i=null,local_files_only:s=!1,revision:o="main",legacy:a=null}={}){const[u,l]=await le(t,{quantized:e,progress_callback:n,config:r,cache_dir:i,local_files_only:s,revision:o,legacy:a}),c=l.tokenizer_class?.replace(/Fast$/,"")??"PreTrainedTokenizer";let d=this.TOKENIZER_CLASS_MAPPING[c];return d||(console.warn(`Unknown tokenizer class "${c}", attempting to construct from base class.`),d=mn),new d(u,l)}}class pr{constructor(t){this.model_type=null,this.is_encoder_decoder=!1,Object.assign(this,t)}static async from_pretrained(t,{progress_callback:e=null,config:n=null,cache_dir:r=null,local_files_only:i=!1,revision:s="main"}={}){let o=n??await async function(t,e){return await U(t,"config.json",!0,e)}(t,{progress_callback:e,config:n,cache_dir:r,local_files_only:i,revision:s});return new this(o)}}class fr{static async from_pretrained(...t){return pr.from_pretrained(...t)}}class gr extends s{constructor(){super(),this.processors=[]}push(t){this.processors.push(t)}extend(t){this.processors.push(...t)}_call(t,e){for(let n of e)this.processors.forEach((e=>e(t,n)))}[Symbol.iterator](){return this.processors.values()}}class mr extends s{_call(t,e){throw Error("`_call` should be implemented in a subclass")}}class _r extends mr{constructor(t){super(),this.force_token_map=Object.fromEntries(t??[])}_call(t,e){let n=this.force_token_map[t.length];return null!=n&&(e.data.fill(-1/0),e.data[n]=0),e}}class br extends mr{constructor(t){super(),this.bos_token_id=t}_call(t,e){return 1===t.length&&(e.data.fill(-1/0),e.data[this.bos_token_id]=0),e}}class yr extends mr{constructor(t,e){super(),this.max_length=t,this.forced_eos_token_id=e}_call(t,e){}}class wr extends mr{constructor(t,e){super(),this.begin_suppress_tokens=t,this.begin_index=e}_call(t,e){if(t.length===this.begin_index)for(let t of this.begin_suppress_tokens)e.data[t]=-1/0;return e}}class vr extends mr{constructor(t){super(),this.eos_token_id=t.eos_token_id,this.no_timestamps_token_id=t.no_timestamps_token_id,this.timestamp_begin=this.no_timestamps_token_id+1,this.begin_index=(t.forced_decoder_ids||[]).length+2,t.forced_decoder_ids.slice(-1)[0][1]===this.no_timestamps_token_id&&(this.begin_index-=1),this.max_initial_timestamp_index=t.max_initial_timestamp_index}_call(t,e){const n=e.data;if(n[this.no_timestamps_token_id]=-1/0,t.length===this.begin_index-1)return n.fill(-1/0),n[this.timestamp_begin]=0,e;const r=t.slice(this.begin_index),i=r.length>=1&&r[r.length-1]>=this.timestamp_begin,s=r.length<2||r[r.length-2]>=this.timestamp_begin;if(i&&(s?n.subarray(this.timestamp_begin).fill(-1/0):n.subarray(0,this.eos_token_id).fill(-1/0)),t.length===this.begin_index&&null!==this.max_initial_timestamp_index){const t=this.timestamp_begin+this.max_initial_timestamp_index;n.subarray(t+1).fill(-1/0)}const o=G(n).map((t=>Math.log(t)));return Math.log(o.subarray(this.timestamp_begin).map(Math.exp).reduce(((t,e)=>t+e)))>H(o.subarray(0,this.timestamp_begin))[0]&&n.subarray(0,this.timestamp_begin).fill(-1/0),e}}class xr extends mr{constructor(t){super(),this.no_repeat_ngram_size=t}getNgrams(t){const e=t.length,n=[];for(let r=0;r<e+1-this.no_repeat_ngram_size;++r){const e=[];for(let n=0;n<this.no_repeat_ngram_size;++n)e.push(t[r+n]);n.push(e)}const r=new Map;for(const t of n){const e=t.slice(0,t.length-1),n=JSON.stringify(e),i=r.get(n)??[];i.push(t[t.length-1]),r.set(n,i)}return r}getGeneratedNgrams(t,e){const n=e.slice(e.length+1-this.no_repeat_ngram_size,e.length);return t.get(JSON.stringify(n))??[]}calcBannedNgramTokens(t){if(t.length+1<this.no_repeat_ngram_size)return[];{const e=this.getNgrams(t);return this.getGeneratedNgrams(e,t)}}_call(t,e){const n=this.calcBannedNgramTokens(t);for(const t of n)e.data[t]=-1/0;return e}}class Tr extends mr{constructor(t){super(),this.penalty=t}_call(t,e){for(const n of t)e.data[n]<0?e.data[n]*=this.penalty:e.data[n]/=this.penalty;return e}}class Sr extends mr{constructor(t,e){super(),this.min_length=t,this.eos_token_id=Array.isArray(e)?e:[e]}_call(t,e){if(t.length<this.min_length)for(const t of this.eos_token_id)e.data[t]=-1/0;return e}}class Ar extends mr{constructor(t,e,n){super(),this.prompt_length_to_skip=t,this.min_new_tokens=e,this.eos_token_id=Array.isArray(n)?n:[n]}_call(t,e){if(t.length-this.prompt_length_to_skip<this.min_new_tokens)for(const t of this.eos_token_id)e.data[t]=-1/0;return e}}class kr extends mr{constructor(t,e){super(),this.bad_words_ids=t,this.eos_token_id=Array.isArray(e)?e:[e]}_call(t,e){for(const n of this.bad_words_ids){let r=!0;for(let e=1;e<=n.length-1&&n.length<t.length;++e)if(n.at(-e-1)!==t.at(-e)){r=!1;break}r&&(e.data[n.at(-1)]=-1/0)}return e}}const Or=class{constructor(t={}){this.max_length=t.max_length??20,this.max_new_tokens=t.max_new_tokens??null,this.min_length=t.min_length??0,this.min_new_tokens=t.min_new_tokens??null,this.early_stopping=t.early_stopping??!1,this.max_time=t.max_time??null,this.do_sample=t.do_sample??!1,this.num_beams=t.num_beams??1,this.num_beam_groups=t.num_beam_groups??1,this.penalty_alpha=t.penalty_alpha??null,this.use_cache=t.use_cache??!0,this.temperature=t.temperature??1,this.top_k=t.top_k??50,this.top_p=t.top_p??1,this.typical_p=t.typical_p??1,this.epsilon_cutoff=t.epsilon_cutoff??0,this.eta_cutoff=t.eta_cutoff??0,this.diversity_penalty=t.diversity_penalty??0,this.repetition_penalty=t.repetition_penalty??1,this.encoder_repetition_penalty=t.encoder_repetition_penalty??1,this.length_penalty=t.length_penalty??1,this.no_repeat_ngram_size=t.no_repeat_ngram_size??0,this.bad_words_ids=t.bad_words_ids??null,this.force_words_ids=t.force_words_ids??null,this.renormalize_logits=t.renormalize_logits??!1,this.constraints=t.constraints??null,this.forced_bos_token_id=t.forced_bos_token_id??null,this.forced_eos_token_id=t.forced_eos_token_id??null,this.remove_invalid_values=t.remove_invalid_values??!1,this.exponential_decay_length_penalty=t.exponential_decay_length_penalty??null,this.suppress_tokens=t.suppress_tokens??null,this.begin_suppress_tokens=t.begin_suppress_tokens??null,this.forced_decoder_ids=t.forced_decoder_ids??null,this.num_return_sequences=t.num_return_sequences??1,this.output_attentions=t.output_attentions??!1,this.output_hidden_states=t.output_hidden_states??!1,this.output_scores=t.output_scores??!1,this.return_dict_in_generate=t.return_dict_in_generate??!1,this.pad_token_id=t.pad_token_id??null,this.bos_token_id=t.bos_token_id??null,this.eos_token_id=t.eos_token_id??null,this.encoder_no_repeat_ngram_size=t.encoder_no_repeat_ngram_size??0,this.decoder_start_token_id=t.decoder_start_token_id??null,this.generation_kwargs=t.generation_kwargs??{}}};class Er extends s{constructor(t){super(),this.generation_config=t}_call(t,e=-1){return this.sample(t,e)}sample(t,e){throw Error("sample should be implemented in subclasses.")}getLogits(t,e){let n=t.dims.at(-1),r=t.data;if(-1===e)r=r.slice(-n);else{let t=e*n;r=r.slice(t,t+n)}return this.generation_config.temperature>0&&(r=r.map((t=>t/this.generation_config.temperature))),r}randomSelect(t){let e=t.reduce(((t,e)=>t+e),0),n=Math.random()*e;for(let e=0;e<t.length;++e)if(n-=t[e],n<=0)return e;return 0}static getSampler(t){if(t.do_sample)return new Pr(t);if(t.num_beams>1)return new Dr(t);if(t.num_return_sequences>1)throw Error(`num_return_sequences has to be 1 when doing greedy search, but is ${t.num_return_sequences}.`);return new Ir(t)}}class Ir extends Er{sample(t,e=-1){return[[H(this.getLogits(t,e))[1],0]]}}class Pr extends Er{sample(t,e=-1){let n=t.dims.at(-1);this.generation_config.top_k>0&&(n=Math.min(this.generation_config.top_k,n));const r=q(this.getLogits(t,e),n),i=G(r.map((t=>t[1])));return Array.from({length:this.generation_config.num_beams},(()=>{const t=this.randomSelect(i);return[r[t][0],Math.log(i[t])]}))}}class Dr extends Er{sample(t,e=-1){let n=t.dims.at(-1);this.generation_config.top_k>0&&(n=Math.min(this.generation_config.top_k,n));const r=q(this.getLogits(t,e),n),i=G(r.map((t=>t[1])));return Array.from({length:this.generation_config.num_beams},((t,e)=>[r[e][0],Math.log(i[e])]))}}const{InferenceSession:Cr,Tensor:$r,env:Mr}=x,Fr=new Map,Lr=new Map,Nr=new Map;async function Rr(t,e,n){let r=`onnx/${e}${n.quantized?"_quantized":""}.onnx`,i=await B(t,r,!0,n);try{return await Cr.create(i,{executionProviders:T})}catch(t){if(1===T.length&&"wasm"===T[0])throw t;return console.warn(t),console.warn("Something went wrong during model construction (most likely a missing operation). Using `wasm` as a fallback. "),await Cr.create(i,{executionProviders:["wasm"]})}}async function jr(t,e){const n=function(t,e){const n=Object.create(null),r=[];for(const i of t.inputNames){const t=e[i];t instanceof nt?n[i]=Mr.wasm.proxy?t.clone():t:r.push(i)}if(r.length>0)throw new Error(`An error occurred during model execution: "Missing the following inputs: ${r.join(", ")}.`);const i=Object.keys(e).length,s=t.inputNames.length;if(i>s){let n=Object.keys(e).filter((e=>!t.inputNames.includes(e)));console.warn(`WARNING: Too many inputs were provided (${i} > ${s}). The following inputs will be ignored: "${n.join(", ")}".`)}return n}(t,e);try{let e=await t.run(n);return e=zr(e),e}catch(t){throw console.error(`An error occurred during model execution: "${t}".`),console.error("Inputs given to model:",n),t}}function zr(t){for(let e in t)t[e]instanceof $r?t[e]=new nt(t[e]):"object"==typeof t[e]&&zr(t[e]);return t}function Br(t){if(t instanceof nt)return t;if(0===t.length)throw Error("items must be non-empty");if(Array.isArray(t[0])){if(t.some((e=>e.length!==t[0].length)))throw Error("Unable to create tensor, you should probably activate truncation and/or padding with 'padding=True' and/or 'truncation=True' to have batched tensors with the same length.");return new nt("int64",BigInt64Array.from(t.flat().map((t=>BigInt(t)))),[t.length,t[0].length])}return new nt("int64",BigInt64Array.from(t.map((t=>BigInt(t)))),[1,t.length])}function Ur(t,e){let n=t.config.pad_token_id??null,r=t.config.eos_token_id??null;o(r)&&(r=[r]);let i=-1!==e.indexOf(n),s=null===r||!r.includes(n);if(i&&s){let t=BigInt64Array.from(e.data.map((t=>t!=n)));return new nt("int64",t,e.dims)}return function(t){const e=t.reduce(((t,e)=>t*e),1);return new nt("int64",new BigInt64Array(e).fill(1n),t)}(e.dims)}function Vr(t,e,n){if(!t.inputNames.includes("position_ids"))return;const r=new BigInt64Array(e.attention_mask.data.length);for(let t=0;t<e.attention_mask.dims[0];++t){let n=t*e.attention_mask.dims[1],i=BigInt(0);for(let t=0;t<e.attention_mask.dims[1];++t){const s=n+t;0n===e.attention_mask.data[s]?r[s]=BigInt(1):(r[s]=i,i+=e.attention_mask.data[s])}}e.position_ids=new nt("int64",r,e.attention_mask.dims),n&&(e.position_ids=e.position_ids.slice(null,-1).unsqueeze_(-1))}function Gr(t){return new nt("bool",[t],[1])}async function qr(t,e){let{encoder_outputs:n,past_key_values:r}=e;n||(n=(await Yr(t,e)).last_hidden_state);let i={input_ids:e.decoder_input_ids,encoder_hidden_states:n};const s=!!r;t.decoder_merged_session.inputNames.includes("use_cache_branch")&&(i.use_cache_branch=Gr(s)),t.decoder_merged_session.inputNames.includes("encoder_attention_mask")&&(i.encoder_attention_mask=e.attention_mask),Vr(t.decoder_merged_session,i,s),t.addPastKeyValues(i,r);const o=await jr(t.decoder_merged_session,i);let a=o.logits;r=t.getPastKeyValues(o,r);const u=t.getAttentions(o);return new bo({logits:a,past_key_values:r,encoder_outputs:n,...u})}function Wr(t,e,n,r){let i=[],s=0;const o=t.requires_attention_mask??!0;let a=n.decoder_input_ids??n.decoder_start_token_id??n.bos_token_id??n.eos_token_id;a instanceof nt?a=a.tolist().flat():Array.isArray(a)||(a=[a]);for(let n of e){n.dims=[1,...n.dims];let e={inputs:n,encoder_outputs:null,prev_model_outputs:null,output_token_ids:a,done:!1,score:0,id:s++};o&&(e.attention_mask=Ur(t,n)),i.push(e)}return i}async function Hr(t,e){const n=t.main_input_name;let r=e.output_token_ids;e.prev_model_outputs&&(r=r.slice(-1));let i={[n]:e.inputs,decoder_input_ids:Br(r),encoder_outputs:e.encoder_outputs,past_key_values:e.prev_model_outputs?.past_key_values};e.attention_mask&&(i.attention_mask=e.attention_mask);let s=await t.forward(i);return e.prev_model_outputs=s,e.encoder_outputs=s.encoder_outputs,s}function Xr(t,e){t.output_token_ids=[...t.output_token_ids,e]}async function Yr(t,e){const n=Object.create(null);for(const r of t.session.inputNames)n[r]=e[r];return t.session.inputNames.includes("token_type_ids")&&!n.token_type_ids&&(n.token_type_ids=new nt("int64",new BigInt64Array(n.input_ids.data.length),n.input_ids.dims)),await jr(t.session,n)}async function Kr(t,e){let{input_ids:n,past_key_values:r,attention_mask:i}=e,s={input_ids:n,attention_mask:i??Ur(t,n)};const o=!!r;t.session.inputNames.includes("use_cache_branch")&&(s.use_cache_branch=Gr(o)),Vr(t.session,s,o),t.addPastKeyValues(s,r);let a=await jr(t.session,s),u=a.logits;return r=t.getPastKeyValues(a,r),{logits:u,past_key_values:r}}function Zr(t,e,n,r,i){let s=[],o=0;for(let n of e){let e,a=n.tolist().map(Number);n.dims=[1,...n.dims],i?(e=i[o],e.dims=[1,...e.dims]):e=Ur(t,n);let u={input:n,model_input_ids:n,attention_mask:e,prev_model_outputs:null,output_token_ids:a,num_output_tokens:r,done:!1,score:0,id:o++};s.push(u)}return s}async function Jr(t,e){let n=new BigInt64Array(e.output_token_ids.length).fill(1n),r={input_ids:e.model_input_ids,attention_mask:new nt("int64",n,[1,n.length]),past_key_values:e.prev_model_outputs?.past_key_values},i=await t.forward(r);return e.prev_model_outputs=i,i}function Qr(t,e){t.output_token_ids=[...t.output_token_ids,e],t.model_input_ids=new nt("int64",[BigInt(e)],[1,1])}class ti extends s{main_input_name="input_ids";constructor(t,e){super(),this.config=t,this.session=e;const n=Nr.get(this.constructor),r=Fr.get(n);this.can_generate=!1,this._runBeam=null,this._getStartBeams=null,this._updateBeam=null,this._forward=null,4===r?(this.can_generate=!0,this._runBeam=Jr,this._getStartBeams=Zr,this._updateBeam=Qr,this._forward=Kr):2===r||3===r?(this.can_generate=!0,this._runBeam=Hr,this._getStartBeams=Wr,this._updateBeam=Xr,this._forward=qr):this._forward=Yr}async dispose(){const t=[];for(let e of Object.keys(this)){const n=this[e];n instanceof Cr&&t.push(n.handler.dispose())}return await Promise.all(t)}static async from_pretrained(t,{quantized:e=!0,progress_callback:n=null,config:r=null,cache_dir:i=null,local_files_only:s=!1,revision:o="main",model_file_name:a=null}={}){let u={quantized:e,progress_callback:n,config:r,cache_dir:i,local_files_only:s,revision:o,model_file_name:a};const l=Nr.get(this),c=Fr.get(l);let d;return 4===c?d=await Promise.all([fr.from_pretrained(t,u),Rr(t,u.model_file_name??"decoder_model_merged",u),U(t,"generation_config.json",!1,u)]):2===c||3===c?d=await Promise.all([fr.from_pretrained(t,u),Rr(t,"encoder_model",u),Rr(t,"decoder_model_merged",u),U(t,"generation_config.json",!1,u)]):5===c?d=await Promise.all([fr.from_pretrained(t,u),Rr(t,"vision_encoder",u),Rr(t,"prompt_encoder_mask_decoder",u)]):1===c?d=await Promise.all([fr.from_pretrained(t,u),Rr(t,"encoder_model",u),Rr(t,"decoder_model_merged",u)]):(0!==c&&console.warn(`Model type for '${l??r?.model_type}' not found, assuming encoder-only architecture. Please report this at https://github.com/xenova/transformers.js/issues/new/choose.`),d=await Promise.all([fr.from_pretrained(t,u),Rr(t,u.model_file_name??"model",u)])),new this(...d)}async _call(t){return await this.forward(t)}async forward(t){return await this._forward(this,t)}_get_logits_processor(t,e,n=null){const r=new gr;if(null!==t.repetition_penalty&&1!==t.repetition_penalty&&r.push(new Tr(t.repetition_penalty)),null!==t.no_repeat_ngram_size&&t.no_repeat_ngram_size>0&&r.push(new xr(t.no_repeat_ngram_size)),null!==t.bad_words_ids&&r.push(new kr(t.bad_words_ids,t.eos_token_id)),null!==t.min_length&&null!==t.eos_token_id&&t.min_length>0&&r.push(new Sr(t.min_length,t.eos_token_id)),null!==t.min_new_tokens&&null!==t.eos_token_id&&t.min_new_tokens>0&&r.push(new Ar(e,t.min_new_tokens,t.eos_token_id)),null!==t.forced_bos_token_id&&r.push(new br(t.forced_bos_token_id)),null!==t.forced_eos_token_id&&r.push(new yr(t.max_length,t.forced_eos_token_id)),null!==t.begin_suppress_tokens){let n=e>1||null===t.forced_bos_token_id?e:e+1;null!==t.forced_decoder_ids&&(n+=t.forced_decoder_ids[t.forced_decoder_ids.length-1][0]),r.push(new wr(t.begin_suppress_tokens,n))}return null!==t.forced_decoder_ids&&r.push(new _r(t.forced_decoder_ids)),null!==n&&r.extend(n),r}_get_generation_config(t){let e=new Or(this.config);return"generation_config"in this&&Object.assign(e,this.generation_config),null!==t&&Object.assign(e,t),e}async generate(t,e=null,n=null,{inputs_attention_mask:r=null}={}){if(!this.can_generate){let t=`The current model class (${Nr.get(this.constructor)}) is not compatible with \`.generate()\`, as it doesn't have a language model head.`;const e=this.config.model_type,n=Hs.get(e)??Ws.get(e)??Bs.get(e)??Ks.get(e);throw n&&(t+=` Please use the following class instead: '${n[0]}'`),Error(t)}if(!(t instanceof nt||(i=t,"TypedArray"===i?.prototype?.__proto__?.constructor?.name)||Array.isArray(t)))throw Error(`\`inputs\` must be a Tensor, TypedArray, or Array, but is "${t.constructor.name}".`);var i;let s;if(this.config.is_encoder_decoder)s=0;else if(s=t instanceof nt?t.dims.at(-1):t.length,0===s)throw Error("Must supply a non-empty array of input token ids.");e=this._get_generation_config(e),n=n??new gr,n=this._get_logits_processor(e,s,n);let o=e.eos_token_id;null===o||Array.isArray(o)||(o=[o]);let a=1;const u=a+(e.max_new_tokens??1/0),l=Number.isInteger(e.max_length)&&null===(e.max_new_tokens??null);let c=Er.getSampler(e),d=this.getStartBeams(t,e,a,r);for(;d.some((t=>!t.done))&&a<u;){let t=[];for(let r of d){if(r.done){t.push(r);continue}if(l&&r.output_token_ids.length>=e.max_length){r.done=!0,t.push(r);continue}let i=await this.runBeam(r);e.output_attentions&&this.addAttentionsToBeam(r,i),e.output_scores;let s=i.logits.slice(null,-1,null);n(r.output_token_ids,s);let a=c(s);for(let[e,n]of a){let i={...r};this.updateBeam(i,e),i.score+=n,o&&o.includes(e)&&(i.done=!0),t.push(i)}}++a,t=this.groupBeams(t).map((t=>t.sort(((t,e)=>e.score-t.score)).slice(0,e.num_beams))),d=t.flat(),e.callback_function&&e.callback_function(d)}const h=this.groupBeams(d),p=t=>h.map((n=>e.num_return_sequences>1?n.slice(0,e.num_return_sequences).map((e=>e[t])):[n[0][t]])).flat(),f=p("output_token_ids");return e.return_dict_in_generate?{sequences:f,decoder_attentions:p("decoder_attentions"),cross_attentions:p("cross_attentions")}:f}addAttentionsToBeam(t,e){if(this.config.is_encoder_decoder){if(!e.cross_attentions||0===e.cross_attentions.length)throw Error("`output_attentions` is true, but the model did not produce cross-attentions. This is most likely because the model was not exported with `output_attentions=True`.");t.cross_attentions||(t.cross_attentions=[]),t.cross_attentions.push(e.cross_attentions)}if(!e.decoder_attentions||0===e.decoder_attentions.length)throw Error("`output_attentions` is true, but the model did not produce decoder-attentions. This is most likely because the model was not exported with `output_attentions=True`.");t.decoder_attentions||(t.decoder_attentions=[]),t.decoder_attentions.push(e.decoder_attentions)}groupBeams(t){const e=Object.create(null);for(const n of t)void 0===e[n.id]?e[n.id]=[n]:e[n.id].push(n);return Object.values(e)}getPastKeyValues(t,e){const n=Object.create(null);for(const r in t)if(r.startsWith("present")){let i=r.replace("present","past_key_values");e&&r.includes("encoder")?n[i]=e[i]:n[i]=t[r]}return n}getAttentions(t){const e=Object.create(null);for(const n of["cross_attentions","decoder_attentions"]){const r=[];for(const e in t)e.startsWith(n)&&(r[e.split(".").pop()]=t[e]);e[n]=r}return e}addPastKeyValues(t,e){if(e)Object.assign(t,e);else{const e=1;if(this.config.is_encoder_decoder&&(this.add_encoder_pkv??1)){let n=[e,this.num_encoder_heads,0,this.encoder_dim_kv],r=[e,this.num_decoder_heads,0,this.decoder_dim_kv];for(let e=0;e<this.num_decoder_layers;++e)t[`past_key_values.${e}.encoder.key`]=new nt("float32",[],n),t[`past_key_values.${e}.encoder.value`]=new nt("float32",[],n),t[`past_key_values.${e}.decoder.key`]=new nt("float32",[],r),t[`past_key_values.${e}.decoder.value`]=new nt("float32",[],r)}else if("falcon"===this.config.model_type){let n=[e*this.num_heads,0,this.dim_kv];for(let e=0;e<this.num_layers;++e)t[`past_key_values.${e}.key`]=new nt("float32",[],n),t[`past_key_values.${e}.value`]=new nt("float32",[],n)}else if(this.config.multi_query){let n=[e*this.num_heads,0,2*this.dim_kv];for(let e=0;e<this.num_layers;++e)t[`past_key_values.${e}.key_value`]=new nt("float32",[],n)}else if("bloom"===this.config.model_type){let n=[e*this.num_heads,this.dim_kv,0],r=[e*this.num_heads,0,this.dim_kv];for(let e=0;e<this.num_layers;++e)t[`past_key_values.${e}.key`]=new nt("float32",[],n),t[`past_key_values.${e}.value`]=new nt("float32",[],r)}else{let n=[e,this.num_heads,0,this.dim_kv];for(let e=0;e<this.num_layers;++e)t[`past_key_values.${e}.key`]=new nt("float32",[],n),t[`past_key_values.${e}.value`]=new nt("float32",[],n)}}}getStartBeams(t,e,n,r){return this._getStartBeams(this,t,e,n,r)}async runBeam(t){return await this._runBeam(this,t)}updateBeam(t,e){return this._updateBeam(t,e)}}class ei{}class ni extends ti{}class ri extends ti{}class ii extends ti{}class si extends ti{}class oi extends ti{}class ai extends ti{}class ui extends ti{}class li extends ti{}class ci extends ti{}class di extends ti{}class hi extends ti{}class pi extends ti{}class fi extends ti{}class gi extends ti{}class mi extends ti{}class _i extends ti{}class bi extends ti{}class yi extends ti{}class wi extends ti{}class vi extends ti{}class xi extends ti{}class Ti extends ti{}class Si extends ti{}class Ai extends ti{}class ki extends ti{}class Oi extends ti{}class Ei extends ti{main_input_name="pixel_values";constructor(t,e,n,r){super(t,e),this.decoder_merged_session=n,this.generation_config=r;const i=this.config.encoder,s=this.config.decoder,o=i.model_type;(Rs.get(o)??js.get(o))||console.warn(`Model type for encoder '${o}' not found, assuming encoder-only architecture. Please report this at https://github.com/xenova/transformers.js/issues/new/choose.`);const a=Hs.get(s.model_type);if(!a)throw new Error(`Unable to construct \`VisionEncoderDecoder\` due to unsupported decoder: "${this.config.decoder.model_type}"`);const u=new(0,a[1])(s,n,r);this.add_encoder_pkv="num_decoder_layers"in u,this.add_encoder_pkv?(this.num_decoder_layers=u.num_decoder_layers,this.num_decoder_heads=u.num_decoder_heads,this.decoder_dim_kv=u.decoder_dim_kv,this.num_encoder_layers=u.num_encoder_layers,this.num_encoder_heads=u.num_encoder_heads,this.encoder_dim_kv=u.encoder_dim_kv):(this.num_layers=u.num_layers,this.num_heads=u.num_heads,this.dim_kv=u.dim_kv)}}class Ii extends ti{}class Pi extends ti{}class Di extends ti{}class Ci extends ti{}class $i extends ti{constructor(t,e,n){super(t,e),this.generation_config=n,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.n_head,this.num_layers=this.config.n_layer,this.dim_kv=this.config.n_embd/this.num_heads}}class Mi extends ti{constructor(t,e,n){super(t,e),this.generation_config=n,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.num_heads,this.num_layers=this.config.num_layers,this.dim_kv=this.config.hidden_size/this.num_heads}}class Fi extends ti{constructor(t,e,n){super(t,e),this.generation_config=n,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.num_attention_heads,this.num_layers=this.config.num_hidden_layers,this.dim_kv=this.config.hidden_size/this.num_heads}}class Li extends ti{constructor(t,e,n){super(t,e),this.generation_config=n,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.n_head,this.num_layers=this.config.n_layer,this.dim_kv=this.config.n_embd/this.num_heads}}class Ni extends ti{constructor(t,e,n){super(t,e),this.generation_config=n,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.n_head,this.num_layers=this.config.n_layer,this.dim_kv=this.config.n_embd/this.num_heads}}class Ri extends ti{constructor(t,e,n){super(t,e),this.generation_config=n,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.n_head,this.num_layers=this.config.n_layer,this.dim_kv=this.config.n_embd/this.num_heads}}class ji extends ti{constructor(t,e,n){super(t,e),this.generation_config=n,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.num_key_value_heads??this.config.num_attention_heads,this.num_layers=this.config.num_hidden_layers,this.dim_kv=this.config.hidden_size/this.config.num_attention_heads}}class zi extends ti{constructor(t,e,n){super(t,e),this.generation_config=n,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.num_key_value_heads??this.config.num_attention_heads,this.num_layers=this.config.num_hidden_layers,this.dim_kv=this.config.hidden_size/this.config.num_attention_heads}}class Bi extends ti{constructor(t,e,n){super(t,e),this.generation_config=n,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.num_attention_heads,this.num_layers=this.config.num_hidden_layers,this.dim_kv=this.config.hidden_size/this.num_heads}}class Ui extends ti{constructor(t,e,n){super(t,e),this.generation_config=n,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.n_head,this.num_layers=this.config.n_layer,this.dim_kv=this.config.hidden_size/this.num_heads}}class Vi extends ti{constructor(t,e,n){super(t,e),this.generation_config=n,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.n_heads,this.num_layers=this.config.n_layers,this.dim_kv=this.config.d_model/this.num_heads}}class Gi extends ti{constructor(t,e,n){super(t,e),this.generation_config=n,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.num_attention_heads,this.num_layers=this.config.num_hidden_layers,this.dim_kv=this.config.hidden_size/this.num_heads}}class qi extends ti{}class Wi extends ti{}class Hi extends ti{}class Xi extends ti{}class Yi extends ti{}class Ki extends ti{}class Zi extends ti{}class Ji extends ei{constructor({logits:t,pred_boxes:e}){super(),this.logits=t,this.pred_boxes=e}}class Qi extends ei{constructor({logits:t,pred_boxes:e,pred_masks:n}){super(),this.logits=t,this.pred_boxes=e,this.pred_masks=n}}class ts extends ti{}class es extends Ji{}class ns extends ti{}class rs extends ti{}class is extends ti{}class ss extends ti{}class os extends ti{}class as extends ti{}class us extends ti{}class ls extends ti{}class cs extends ti{}class ds extends ti{}class hs extends ti{}class ps extends ti{}class fs extends ei{constructor({logits:t,pred_boxes:e}){super(),this.logits=t,this.pred_boxes=e}}class gs extends ti{}class ms extends ei{constructor({iou_scores:t,pred_masks:e}){super(),this.iou_scores=t,this.pred_masks=e}}class _s extends ti{}class bs extends ti{}class ys extends ti{}class ws extends ti{}class vs extends ti{}class xs extends ti{}class Ts extends ti{}class Ss extends ti{}class As extends Ss{constructor(t,e,n,r){super(t,e),this.decoder_merged_session=n,this.generation_config=r,this.num_decoder_layers=this.config.decoder_layers,this.num_decoder_heads=this.config.decoder_attention_heads,this.decoder_dim_kv=this.config.hidden_size/this.num_decoder_heads,this.num_encoder_layers=this.config.encoder_layers,this.num_encoder_heads=this.config.encoder_attention_heads,this.encoder_dim_kv=this.config.hidden_size/this.num_encoder_heads}async generate_speech(t,e,{threshold:n=.5,minlenratio:r=0,maxlenratio:i=20,vocoder:s=null}={}){const o={input_ids:t},{encoder_outputs:a,encoder_attention_mask:u}=await Yr(this,o),l=a.dims[1]/this.config.reduction_factor,c=Math.floor(l*i),d=Math.floor(l*r),h=this.config.num_mel_bins;let p=[],f=null,g=null,m=0;for(;;){++m;const t=Gr(!!g);let r;r=g?g.output_sequence_out:new nt("float32",new Float32Array(h),[1,1,h]);let i={use_cache_branch:t,output_sequence:r,encoder_attention_mask:u,speaker_embeddings:e,encoder_hidden_states:a};this.addPastKeyValues(i,f),g=await jr(this.decoder_merged_session,i),f=this.getPastKeyValues(g,f);const{prob:s,spectrum:o}=g;if(p.push(o),m>=d&&(Array.from(s.data).filter((t=>t>=n)).length>0||m>=c))break}const _=at(p),{waveform:b}=await jr(s.session,{spectrogram:_});return{spectrogram:_,waveform:b}}}class ks extends ti{main_input_name="spectrogram"}class Os extends ti{constructor(t,e,n){super(t,e),this.generation_config=n,this.config.pad_token_id=this.config.eos_token_id,this.num_encoder_layers=this.num_decoder_layers=this.config.decoder_layers,this.num_encoder_heads=this.num_decoder_heads=this.config.decoder_attention_heads,this.encoder_dim_kv=this.decoder_dim_kv=this.config.d_model/this.num_decoder_heads}}class Es extends ti{constructor(t,e,n){super(t,e),this.generation_config=n,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.num_key_value_heads,this.num_layers=this.config.num_hidden_layers,this.dim_kv=this.config.hidden_size/this.config.num_attention_heads}}class Is extends ti{constructor(t,e,n){super(t,e),this.generation_config=n,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.num_key_value_heads,this.num_layers=this.config.num_hidden_layers,this.dim_kv=this.config.hidden_size/this.config.num_attention_heads}}class Ps extends ti{constructor(t,e,n){super(t,e),this.generation_config=n,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.num_attention_heads,this.num_layers=this.config.num_hidden_layers,this.dim_kv=this.config.hidden_size/this.config.num_attention_heads}}class Ds extends ti{}class Cs extends ti{}class $s extends Cs{async _call(t){return new ko(await super._call(t))}}class Ms extends ti{}class Fs extends ti{constructor(t,e,n){super(t,e),this.generation_config=n,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.num_attention_heads,this.num_layers=this.config.num_hidden_layers,this.dim_kv=this.config.hidden_size/this.num_heads}}class Ls extends ti{}class Ns{static MODEL_CLASS_MAPPINGS=null;static BASE_IF_FAIL=!1;static async from_pretrained(t,{quantized:e=!0,progress_callback:n=null,config:r=null,cache_dir:i=null,local_files_only:s=!1,revision:o="main",model_file_name:a=null}={}){let u={quantized:e,progress_callback:n,config:r,cache_dir:i,local_files_only:s,revision:o,model_file_name:a};if(r=await fr.from_pretrained(t,u),u.config||(u.config=r),!this.MODEL_CLASS_MAPPINGS)throw new Error("`MODEL_CLASS_MAPPINGS` not implemented for this type of `AutoClass`: "+this.name);for(let e of this.MODEL_CLASS_MAPPINGS){const n=e.get(r.model_type);if(n)return await n[1].from_pretrained(t,u)}if(this.BASE_IF_FAIL)return console.warn(`Unknown model class "${r.model_type}", attempting to construct from base class.`),await ti.from_pretrained(t,u);throw Error(`Unsupported model type: ${r.model_type}`)}}const Rs=new Map([["bert",["BertModel",class extends ni{}]],["nomic_bert",["NomicBertModel",class extends ri{}]],["roformer",["RoFormerModel",class extends ii{}]],["electra",["ElectraModel",class extends oi{}]],["esm",["EsmModel",class extends di{}]],["convbert",["ConvBertModel",class extends si{}]],["camembert",["CamembertModel",class extends ai{}]],["deberta",["DebertaModel",class extends ui{}]],["deberta-v2",["DebertaV2Model",class extends li{}]],["mpnet",["MPNetModel",class extends pi{}]],["albert",["AlbertModel",class extends gi{}]],["distilbert",["DistilBertModel",class extends ci{}]],["roberta",["RobertaModel",class extends Ti{}]],["xlm",["XLMModel",class extends Si{}]],["xlm-roberta",["XLMRobertaModel",class extends Ai{}]],["clap",["ClapModel",class extends Ds{}]],["clip",["CLIPModel",class extends Ii{}]],["clipseg",["CLIPSegModel",class extends Ci{}]],["chinese_clip",["ChineseCLIPModel",class extends Di{}]],["siglip",["SiglipModel",class extends Pi{}]],["mobilebert",["MobileBertModel",class extends hi{}]],["squeezebert",["SqueezeBertModel",class extends fi{}]],["wav2vec2",["Wav2Vec2Model",class extends ys{}]],["wav2vec2-bert",["Wav2Vec2BertModel",class extends xs{}]],["unispeech",["UniSpeechModel",class extends ws{}]],["unispeech-sat",["UniSpeechSatModel",class extends vs{}]],["hubert",["HubertModel",class extends ys{}]],["wavlm",["WavLMModel",class extends Ts{}]],["audio-spectrogram-transformer",["ASTModel",class extends ki{}]],["vits",["VitsModel",$s]],["detr",["DetrModel",class extends Zi{}]],["table-transformer",["TableTransformerModel",class extends ts{}]],["vit",["ViTModel",class extends qi{}]],["mobilevit",["MobileViTModel",class extends Hi{}]],["owlvit",["OwlViTModel",class extends Xi{}]],["owlv2",["Owlv2Model",class extends Yi{}]],["beit",["BeitModel",class extends Ki{}]],["deit",["DeiTModel",class extends ns{}]],["convnext",["ConvNextModel",class extends cs{}]],["convnextv2",["ConvNextV2Model",class extends ds{}]],["dinov2",["Dinov2Model",class extends hs{}]],["resnet",["ResNetModel",class extends rs{}]],["swin",["SwinModel",class extends is{}]],["swin2sr",["Swin2SRModel",class extends ss{}]],["donut-swin",["DonutSwinModel",class extends ls{}]],["yolos",["YolosModel",class extends ps{}]],["dpt",["DPTModel",class extends os{}]],["glpn",["GLPNModel",class extends us{}]],["hifigan",["SpeechT5HifiGan",ks]],["efficientnet",["EfficientNetModel",class extends Ls{}]]]),js=new Map([["t5",["T5Model",class extends mi{}]],["longt5",["LongT5Model",class extends _i{}]],["mt5",["MT5Model",class extends bi{}]],["bart",["BartModel",class extends yi{}]],["mbart",["MBartModel",class extends wi{}]],["marian",["MarianModel",class extends _s{}]],["whisper",["WhisperModel",class extends Oi{}]],["m2m_100",["M2M100Model",class extends bs{}]],["blenderbot",["BlenderbotModel",class extends vi{}]],["blenderbot-small",["BlenderbotSmallModel",class extends xi{}]]]),zs=new Map([["bloom",["BloomModel",class extends Ui{}]],["gpt2",["GPT2Model",class extends $i{}]],["gptj",["GPTJModel",class extends Li{}]],["gpt_bigcode",["GPTBigCodeModel",class extends Ni{}]],["gpt_neo",["GPTNeoModel",class extends Mi{}]],["gpt_neox",["GPTNeoXModel",class extends Fi{}]],["codegen",["CodeGenModel",class extends Ri{}]],["llama",["LlamaModel",class extends ji{}]],["qwen2",["Qwen2Model",class extends zi{}]],["phi",["PhiModel",class extends Bi{}]],["mpt",["MptModel",class extends Vi{}]],["opt",["OPTModel",class extends Gi{}]],["mistral",["MistralModel",class extends Es{}]],["starcoder2",["Starcoder2Model",class extends Is{}]],["falcon",["FalconModel",class extends Ps{}]]]),Bs=new Map([["speecht5",["SpeechT5ForSpeechToText",class extends Ss{}]],["whisper",["WhisperForConditionalGeneration",class extends Oi{requires_attention_mask=!1;main_input_name="input_features";constructor(t,e,n,r){super(t,e),this.decoder_merged_session=n,this.generation_config=r,this.num_decoder_layers=this.config.decoder_layers,this.num_decoder_heads=this.config.decoder_attention_heads,this.decoder_dim_kv=this.config.d_model/this.num_decoder_heads,this.num_encoder_layers=this.config.encoder_layers,this.num_encoder_heads=this.config.encoder_attention_heads,this.encoder_dim_kv=this.config.d_model/this.num_encoder_heads}async generate(t,e=null,n=null){if(e=this._get_generation_config(e),e.return_timestamps??=!1,e.return_timestamps&&(n=[new vr(e)]),e.return_token_timestamps&&(e.output_attentions=!0,e.return_dict_in_generate=!0,"translate"===e.task&&console.warn("Token-level timestamps may not be reliable for task 'translate'."),!e.alignment_heads))throw new Error("Model generation config has no `alignment_heads`, token-level timestamps not available. See https://gist.github.com/hollance/42e32852f24243b748ae6bc1f985b13a on how to add this property to the generation config.");const r=await super.generate(t,e,n);return e.return_token_timestamps&&e.alignment_heads&&(r.token_timestamps=this._extract_token_timestamps(r,e.alignment_heads,e.num_frames)),r}_extract_token_timestamps(t,e,n=null,r=.02){if(!t.cross_attentions)throw new Error("Model outputs must contain cross attentions to extract timestamps. This is most likely because the model was not exported with `output_attentions=True`.");let i=this.config.median_filter_width;void 0===i&&(console.warn("Model config has no `median_filter_width`, using default value of 7."),i=7);const s=t.cross_attentions.map((t=>{let r=Array.from({length:this.config.decoder_layers},((e,n)=>at(t.map((t=>t[n])),2))),s=ut(e.map((([t,e])=>n?r[t].slice(null,e,null,[0,n]):r[t].slice(null,e))));s=s.transpose(1,0,2,3);let[o,a]=function(t,e=null,n=1,r=!1){if(null===e){const e=t.data.reduce(((t,e)=>t+e),0)/t.data.length,r=Math.sqrt(t.data.reduce(((t,n)=>t+(n-e)**2),0)/(t.data.length-n)),i=new nt(t.type,[e],[]);return[new nt(t.type,[r],[]),i]}const i=lt(t,e=ot(e,t.dims.length),r),s=t.dims.slice();s[e]=1;const o=new t.data.constructor(t.data.length/t.dims[e]);for(let n=0;n<t.data.length;++n){let r=0;for(let i=t.dims.length-1,o=n,a=1;i>=0;--i){const n=t.dims[i];i!==e&&(r+=o%n*a,a*=s[i]),o=Math.floor(o/n)}o[r]+=(t.data[n]-i.data[r])**2}for(let r=0;r<o.length;++r)o[r]=Math.sqrt(o[r]/(t.dims[e]-n));return r||s.splice(e,1),[new nt(t.type,o,s),i]}(s,-2,0,!0),u=s.clone();for(let t=0;t<u.dims[0];++t){let e=u[t];for(let n=0;n<e.dims[0];++n){let r=e[n];const s=o[t][n][0],u=a[t][n][0];for(let t=0;t<r.dims[0];++t){let e=r[t];for(let t=0;t<e.data.length;++t)e.data[t]=(e.data[t]-u.data[t])/s.data[t];e.data.set(J(e.data,i))}}}return lt(u,1)})),o=[t.sequences.length,t.sequences[0].length],a=new nt("float32",new Float32Array(o[0]*o[1]),o);for(let t=0;t<o[0];++t){const e=s[t].neg().squeeze_(0);let[n,i]=ct(e),o=l([1],Array.from({length:n.length-1},((t,e)=>n[e+1]-n[e]))).map((t=>!!t)),u=[];for(let t=0;t<o.length;++t)o[t]&&u.push(i[t]*r);a[t].data.set(u,1)}return a}}]]]),Us=new Map([["speecht5",["SpeechT5ForTextToSpeech",As]]]),Vs=new Map([["vits",["VitsModel",$s]]]),Gs=new Map([["bert",["BertForSequenceClassification",class extends ni{async _call(t){return new yo(await super._call(t))}}]],["roformer",["RoFormerForSequenceClassification",class extends ii{async _call(t){return new yo(await super._call(t))}}]],["electra",["ElectraForSequenceClassification",class extends oi{async _call(t){return new yo(await super._call(t))}}]],["esm",["EsmForSequenceClassification",class extends di{async _call(t){return new yo(await super._call(t))}}]],["convbert",["ConvBertForSequenceClassification",class extends si{async _call(t){return new yo(await super._call(t))}}]],["camembert",["CamembertForSequenceClassification",class extends ai{async _call(t){return new yo(await super._call(t))}}]],["deberta",["DebertaForSequenceClassification",class extends ui{async _call(t){return new yo(await super._call(t))}}]],["deberta-v2",["DebertaV2ForSequenceClassification",class extends li{async _call(t){return new yo(await super._call(t))}}]],["mpnet",["MPNetForSequenceClassification",class extends pi{async _call(t){return new yo(await super._call(t))}}]],["albert",["AlbertForSequenceClassification",class extends gi{async _call(t){return new yo(await super._call(t))}}]],["distilbert",["DistilBertForSequenceClassification",class extends ci{async _call(t){return new yo(await super._call(t))}}]],["roberta",["RobertaForSequenceClassification",class extends Ti{async _call(t){return new yo(await super._call(t))}}]],["xlm",["XLMForSequenceClassification",class extends Si{async _call(t){return new yo(await super._call(t))}}]],["xlm-roberta",["XLMRobertaForSequenceClassification",class extends Ai{async _call(t){return new yo(await super._call(t))}}]],["bart",["BartForSequenceClassification",class extends yi{async _call(t){return new yo(await super._call(t))}}]],["mbart",["MBartForSequenceClassification",class extends wi{async _call(t){return new yo(await super._call(t))}}]],["mobilebert",["MobileBertForSequenceClassification",class extends hi{async _call(t){return new yo(await super._call(t))}}]],["squeezebert",["SqueezeBertForSequenceClassification",class extends fi{async _call(t){return new yo(await super._call(t))}}]]]),qs=new Map([["bert",["BertForTokenClassification",class extends ni{async _call(t){return new vo(await super._call(t))}}]],["roformer",["RoFormerForTokenClassification",class extends ii{async _call(t){return new vo(await super._call(t))}}]],["electra",["ElectraForTokenClassification",class extends oi{async _call(t){return new vo(await super._call(t))}}]],["esm",["EsmForTokenClassification",class extends di{async _call(t){return new vo(await super._call(t))}}]],["convbert",["ConvBertForTokenClassification",class extends si{async _call(t){return new vo(await super._call(t))}}]],["camembert",["CamembertForTokenClassification",class extends ai{async _call(t){return new vo(await super._call(t))}}]],["deberta",["DebertaForTokenClassification",class extends ui{async _call(t){return new vo(await super._call(t))}}]],["deberta-v2",["DebertaV2ForTokenClassification",class extends li{async _call(t){return new vo(await super._call(t))}}]],["mpnet",["MPNetForTokenClassification",class extends pi{async _call(t){return new vo(await super._call(t))}}]],["distilbert",["DistilBertForTokenClassification",class extends ci{async _call(t){return new vo(await super._call(t))}}]],["roberta",["RobertaForTokenClassification",class extends Ti{async _call(t){return new vo(await super._call(t))}}]],["xlm",["XLMForTokenClassification",class extends Si{async _call(t){return new vo(await super._call(t))}}]],["xlm-roberta",["XLMRobertaForTokenClassification",class extends Ai{async _call(t){return new vo(await super._call(t))}}]]]),Ws=new Map([["t5",["T5ForConditionalGeneration",class extends mi{constructor(t,e,n,r){super(t,e),this.decoder_merged_session=n,this.generation_config=r,this.num_decoder_layers=this.config.num_decoder_layers,this.num_decoder_heads=this.config.num_heads,this.decoder_dim_kv=this.config.d_kv,this.num_encoder_layers=this.config.num_layers,this.num_encoder_heads=this.config.num_heads,this.encoder_dim_kv=this.config.d_kv}}]],["longt5",["LongT5ForConditionalGeneration",class extends _i{constructor(t,e,n,r){super(t,e),this.decoder_merged_session=n,this.generation_config=r,this.num_decoder_layers=this.config.num_decoder_layers,this.num_decoder_heads=this.config.num_heads,this.decoder_dim_kv=this.config.d_kv,this.num_encoder_layers=this.config.num_layers,this.num_encoder_heads=this.config.num_heads,this.encoder_dim_kv=this.config.d_kv}}]],["mt5",["MT5ForConditionalGeneration",class extends bi{constructor(t,e,n,r){super(t,e),this.decoder_merged_session=n,this.generation_config=r,this.num_decoder_layers=this.config.num_decoder_layers,this.num_decoder_heads=this.config.num_heads,this.decoder_dim_kv=this.config.d_kv,this.num_encoder_layers=this.config.num_layers,this.num_encoder_heads=this.config.num_heads,this.encoder_dim_kv=this.config.d_kv}}]],["bart",["BartForConditionalGeneration",class extends yi{constructor(t,e,n,r){super(t,e),this.decoder_merged_session=n,this.generation_config=r,this.num_decoder_layers=this.config.decoder_layers,this.num_decoder_heads=this.config.decoder_attention_heads,this.decoder_dim_kv=this.config.d_model/this.num_decoder_heads,this.num_encoder_layers=this.config.encoder_layers,this.num_encoder_heads=this.config.encoder_attention_heads,this.encoder_dim_kv=this.config.d_model/this.num_encoder_heads}}]],["mbart",["MBartForConditionalGeneration",class extends wi{constructor(t,e,n,r){super(t,e),this.decoder_merged_session=n,this.generation_config=r,this.num_decoder_layers=this.config.decoder_layers,this.num_decoder_heads=this.config.decoder_attention_heads,this.decoder_dim_kv=this.config.d_model/this.num_decoder_heads,this.num_encoder_layers=this.config.encoder_layers,this.num_encoder_heads=this.config.encoder_attention_heads,this.encoder_dim_kv=this.config.d_model/this.num_encoder_heads}}]],["marian",["MarianMTModel",class extends _s{constructor(t,e,n,r){super(t,e),this.decoder_merged_session=n,this.generation_config=r,this.num_decoder_layers=this.config.decoder_layers,this.num_decoder_heads=this.config.decoder_attention_heads,this.decoder_dim_kv=this.config.d_model/this.num_decoder_heads,this.num_encoder_layers=this.config.encoder_layers,this.num_encoder_heads=this.config.encoder_attention_heads,this.encoder_dim_kv=this.config.d_model/this.num_encoder_heads}}]],["m2m_100",["M2M100ForConditionalGeneration",class extends bs{constructor(t,e,n,r){super(t,e),this.decoder_merged_session=n,this.generation_config=r,this.num_decoder_layers=this.config.decoder_layers,this.num_decoder_heads=this.config.decoder_attention_heads,this.decoder_dim_kv=this.config.d_model/this.num_decoder_heads,this.num_encoder_layers=this.config.encoder_layers,this.num_encoder_heads=this.config.encoder_attention_heads,this.encoder_dim_kv=this.config.d_model/this.num_encoder_heads}}]],["blenderbot",["BlenderbotForConditionalGeneration",class extends vi{constructor(t,e,n,r){super(t,e),this.decoder_merged_session=n,this.generation_config=r,this.num_decoder_layers=this.config.decoder_layers,this.num_decoder_heads=this.config.decoder_attention_heads,this.decoder_dim_kv=this.config.d_model/this.num_decoder_heads,this.num_encoder_layers=this.config.encoder_layers,this.num_encoder_heads=this.config.encoder_attention_heads,this.encoder_dim_kv=this.config.d_model/this.num_encoder_heads}}]],["blenderbot-small",["BlenderbotSmallForConditionalGeneration",class extends xi{constructor(t,e,n,r){super(t,e),this.decoder_merged_session=n,this.generation_config=r,this.num_decoder_layers=this.config.decoder_layers,this.num_decoder_heads=this.config.decoder_attention_heads,this.decoder_dim_kv=this.config.d_model/this.num_decoder_heads,this.num_encoder_layers=this.config.encoder_layers,this.num_encoder_heads=this.config.encoder_attention_heads,this.encoder_dim_kv=this.config.d_model/this.num_encoder_heads}}]]]),Hs=new Map([["bloom",["BloomForCausalLM",class extends Ui{}]],["gpt2",["GPT2LMHeadModel",class extends $i{}]],["gptj",["GPTJForCausalLM",class extends Li{}]],["gpt_bigcode",["GPTBigCodeForCausalLM",class extends Ni{}]],["gpt_neo",["GPTNeoForCausalLM",class extends Mi{}]],["gpt_neox",["GPTNeoXForCausalLM",class extends Fi{}]],["codegen",["CodeGenForCausalLM",class extends Ri{}]],["llama",["LlamaForCausalLM",class extends ji{}]],["qwen2",["Qwen2ForCausalLM",class extends zi{}]],["phi",["PhiForCausalLM",class extends Bi{}]],["mpt",["MptForCausalLM",class extends Vi{}]],["opt",["OPTForCausalLM",class extends Gi{}]],["mbart",["MBartForCausalLM",class extends wi{constructor(t,e,n){super(t,e),this.generation_config=n,this.num_decoder_layers=this.config.decoder_layers,this.num_decoder_heads=this.config.decoder_attention_heads,this.decoder_dim_kv=this.config.d_model/this.num_decoder_heads,this.num_encoder_layers=this.config.encoder_layers,this.num_encoder_heads=this.config.encoder_attention_heads,this.encoder_dim_kv=this.config.d_model/this.num_encoder_heads}}]],["mistral",["MistralForCausalLM",class extends Es{}]],["starcoder2",["Starcoder2ForCausalLM",class extends Is{}]],["falcon",["FalconForCausalLM",class extends Ps{}]],["trocr",["TrOCRForCausalLM",class extends Os{}]],["stablelm",["StableLmForCausalLM",class extends Fs{}]]]),Xs=new Map([["bert",["BertForMaskedLM",class extends ni{async _call(t){return new xo(await super._call(t))}}]],["roformer",["RoFormerForMaskedLM",class extends ii{async _call(t){return new xo(await super._call(t))}}]],["electra",["ElectraForMaskedLM",class extends oi{async _call(t){return new xo(await super._call(t))}}]],["esm",["EsmForMaskedLM",class extends di{async _call(t){return new xo(await super._call(t))}}]],["convbert",["ConvBertForMaskedLM",class extends si{async _call(t){return new xo(await super._call(t))}}]],["camembert",["CamembertForMaskedLM",class extends ai{async _call(t){return new xo(await super._call(t))}}]],["deberta",["DebertaForMaskedLM",class extends ui{async _call(t){return new xo(await super._call(t))}}]],["deberta-v2",["DebertaV2ForMaskedLM",class extends li{async _call(t){return new xo(await super._call(t))}}]],["mpnet",["MPNetForMaskedLM",class extends pi{async _call(t){return new xo(await super._call(t))}}]],["albert",["AlbertForMaskedLM",class extends gi{async _call(t){return new xo(await super._call(t))}}]],["distilbert",["DistilBertForMaskedLM",class extends ci{async _call(t){return new xo(await super._call(t))}}]],["roberta",["RobertaForMaskedLM",class extends Ti{async _call(t){return new xo(await super._call(t))}}]],["xlm",["XLMWithLMHeadModel",class extends Si{async _call(t){return new xo(await super._call(t))}}]],["xlm-roberta",["XLMRobertaForMaskedLM",class extends Ai{async _call(t){return new xo(await super._call(t))}}]],["mobilebert",["MobileBertForMaskedLM",class extends hi{async _call(t){return new xo(await super._call(t))}}]],["squeezebert",["SqueezeBertForMaskedLM",class extends fi{async _call(t){return new xo(await super._call(t))}}]]]),Ys=new Map([["bert",["BertForQuestionAnswering",class extends ni{async _call(t){return new To(await super._call(t))}}]],["roformer",["RoFormerForQuestionAnswering",class extends ii{async _call(t){return new To(await super._call(t))}}]],["electra",["ElectraForQuestionAnswering",class extends oi{async _call(t){return new To(await super._call(t))}}]],["convbert",["ConvBertForQuestionAnswering",class extends si{async _call(t){return new To(await super._call(t))}}]],["camembert",["CamembertForQuestionAnswering",class extends ai{async _call(t){return new To(await super._call(t))}}]],["deberta",["DebertaForQuestionAnswering",class extends ui{async _call(t){return new To(await super._call(t))}}]],["deberta-v2",["DebertaV2ForQuestionAnswering",class extends li{async _call(t){return new To(await super._call(t))}}]],["mpnet",["MPNetForQuestionAnswering",class extends pi{async _call(t){return new To(await super._call(t))}}]],["albert",["AlbertForQuestionAnswering",class extends gi{async _call(t){return new To(await super._call(t))}}]],["distilbert",["DistilBertForQuestionAnswering",class extends ci{async _call(t){return new To(await super._call(t))}}]],["roberta",["RobertaForQuestionAnswering",class extends Ti{async _call(t){return new To(await super._call(t))}}]],["xlm",["XLMForQuestionAnswering",class extends Si{async _call(t){return new To(await super._call(t))}}]],["xlm-roberta",["XLMRobertaForQuestionAnswering",class extends Ai{async _call(t){return new To(await super._call(t))}}]],["mobilebert",["MobileBertForQuestionAnswering",class extends hi{async _call(t){return new To(await super._call(t))}}]],["squeezebert",["SqueezeBertForQuestionAnswering",class extends fi{async _call(t){return new To(await super._call(t))}}]]]),Ks=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",Ei]]]),Zs=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",Ei]]]),Js=new Map([["vit",["ViTForImageClassification",class extends qi{async _call(t){return new yo(await super._call(t))}}]],["mobilevit",["MobileViTForImageClassification",class extends Hi{async _call(t){return new yo(await super._call(t))}}]],["beit",["BeitForImageClassification",class extends Ki{async _call(t){return new yo(await super._call(t))}}]],["deit",["DeiTForImageClassification",class extends ns{async _call(t){return new yo(await super._call(t))}}]],["convnext",["ConvNextForImageClassification",class extends cs{async _call(t){return new yo(await super._call(t))}}]],["convnextv2",["ConvNextV2ForImageClassification",class extends ds{async _call(t){return new yo(await super._call(t))}}]],["dinov2",["Dinov2ForImageClassification",class extends hs{async _call(t){return new yo(await super._call(t))}}]],["resnet",["ResNetForImageClassification",class extends rs{async _call(t){return new yo(await super._call(t))}}]],["swin",["SwinForImageClassification",class extends is{async _call(t){return new yo(await super._call(t))}}]],["segformer",["SegformerForImageClassification",class extends Ms{}]],["efficientnet",["EfficientNetForImageClassification",class extends Ls{async _call(t){return new yo(await super._call(t))}}]]]),Qs=new Map([["detr",["DetrForObjectDetection",class extends Zi{async _call(t){return new Ji(await super._call(t))}}]],["table-transformer",["TableTransformerForObjectDetection",class extends ts{async _call(t){return new es(await super._call(t))}}]],["yolos",["YolosForObjectDetection",class extends ps{async _call(t){return new fs(await super._call(t))}}]]]),to=new Map([["owlvit",["OwlViTForObjectDetection",class extends Xi{}]],["owlv2",["Owlv2ForObjectDetection",class extends Yi{}]]]),eo=new Map([["detr",["DetrForSegmentation",class extends Zi{async _call(t){return new Qi(await super._call(t))}}]],["clipseg",["CLIPSegForImageSegmentation",class extends Ci{}]]]),no=new Map([["segformer",["SegformerForSemanticSegmentation",class extends Ms{}]]]),ro=new Map([["sam",["SamModel",class extends gs{constructor(t,e,n){super(t,e),this.prompt_encoder_mask_decoder=n}async get_image_embeddings({pixel_values:t}){return await Yr(this,{pixel_values:t})}async forward(t){if(t.image_embeddings&&t.image_positional_embeddings||(t={...t,...await this.get_image_embeddings(t)}),!t.input_labels){const e=t.input_points.dims.slice(0,-1),n=e.reduce(((t,e)=>t*e),1);t.input_labels=new nt("int64",new BigInt64Array(n).fill(1n),e)}return await jr(this.prompt_encoder_mask_decoder,{input_points:t.input_points,input_labels:t.input_labels,image_embeddings:t.image_embeddings,image_positional_embeddings:t.image_positional_embeddings})}async _call(t){return new ms(await super._call(t))}}]]]),io=new Map([["wav2vec2",["Wav2Vec2ForCTC",class extends ys{async _call(t){return new So(await super._call(t))}}]],["wav2vec2-bert",["Wav2Vec2BertForCTC",class extends xs{async _call(t){return new So(await super._call(t))}}]],["unispeech",["UniSpeechForCTC",class extends ws{async _call(t){return new So(await super._call(t))}}]],["unispeech-sat",["UniSpeechSatForCTC",class extends vs{async _call(t){return new So(await super._call(t))}}]],["wavlm",["WavLMForCTC",class extends Ts{async _call(t){return new So(await super._call(t))}}]],["hubert",["HubertForCTC",class extends ys{async _call(t){return new So(await super._call(t))}}]]]),so=new Map([["wav2vec2",["Wav2Vec2ForSequenceClassification",class extends ys{async _call(t){return new yo(await super._call(t))}}]],["wav2vec2-bert",["Wav2Vec2BertForSequenceClassification",class extends xs{async _call(t){return new yo(await super._call(t))}}]],["unispeech",["UniSpeechForSequenceClassification",class extends ws{async _call(t){return new yo(await super._call(t))}}]],["unispeech-sat",["UniSpeechSatForSequenceClassification",class extends vs{async _call(t){return new yo(await super._call(t))}}]],["wavlm",["WavLMForSequenceClassification",class extends Ts{async _call(t){return new yo(await super._call(t))}}]],["hubert",["HubertForSequenceClassification",class extends ys{async _call(t){return new yo(await super._call(t))}}]],["audio-spectrogram-transformer",["ASTForAudioClassification",class extends ki{}]]]),oo=new Map([["wavlm",["WavLMForXVector",class extends Ts{async _call(t){return new wo(await super._call(t))}}]]]),ao=new Map([["unispeech-sat",["UniSpeechSatForAudioFrameClassification",class extends vs{async _call(t){return new vo(await super._call(t))}}]],["wavlm",["WavLMForAudioFrameClassification",class extends Ts{async _call(t){return new vo(await super._call(t))}}]],["wav2vec2",["Wav2Vec2ForAudioFrameClassification",class extends ys{async _call(t){return new vo(await super._call(t))}}]]]),uo=new Map([["vitmatte",["VitMatteForImageMatting",class extends Wi{async _call(t){return new Ao(await super._call(t))}}]]]),lo=new Map([["swin2sr",["Swin2SRForImageSuperResolution",class extends ss{}]]]),co=new Map([["dpt",["DPTForDepthEstimation",class extends os{}]],["depth_anything",["DepthAnythingForDepthEstimation",class extends as{}]],["glpn",["GLPNForDepthEstimation",class extends us{}]]]),ho=new Map([["clip",["CLIPVisionModelWithProjection",class extends Ii{static async from_pretrained(t,e={}){return e.model_file_name??="vision_model",super.from_pretrained(t,e)}}]],["siglip",["SiglipVisionModel",class extends Ii{static async from_pretrained(t,e={}){return e.model_file_name??="vision_model",super.from_pretrained(t,e)}}]]]),po=[[Rs,0],[js,1],[zs,4],[Gs,0],[qs,0],[Ws,2],[Bs,2],[Hs,4],[Xs,0],[Ys,0],[Ks,3],[Js,0],[eo,0],[no,0],[uo,0],[lo,0],[co,0],[Qs,0],[to,0],[ro,5],[io,0],[so,0],[Us,2],[Vs,0],[oo,0],[ao,0],[ho,0]];for(const[t,e]of po)for(const[n,r]of t.values())Fr.set(n,e),Nr.set(r,n),Lr.set(n,r);const fo=[["CLIPTextModelWithProjection",class extends Ii{static async from_pretrained(t,e={}){return e.model_file_name??="text_model",super.from_pretrained(t,e)}},0],["SiglipTextModel",class extends Pi{static async from_pretrained(t,e={}){return e.model_file_name??="text_model",super.from_pretrained(t,e)}},0],["ClapTextModelWithProjection",class extends Ds{static async from_pretrained(t,e={}){return e.model_file_name??="text_model",super.from_pretrained(t,e)}},0],["ClapAudioModelWithProjection",class extends Ds{static async from_pretrained(t,e={}){return e.model_file_name??="audio_model",super.from_pretrained(t,e)}},0]];for(const[t,e,n]of fo)Fr.set(t,n),Nr.set(e,t),Lr.set(t,e);class go extends Ns{static MODEL_CLASS_MAPPINGS=po.map((t=>t[0]));static BASE_IF_FAIL=!0}class mo extends Ns{static MODEL_CLASS_MAPPINGS=[Gs]}class _o extends Ns{static MODEL_CLASS_MAPPINGS=[Ws]}class bo extends ei{constructor({logits:t,past_key_values:e,encoder_outputs:n,decoder_attentions:r=null,cross_attentions:i=null}){super(),this.logits=t,this.past_key_values=e,this.encoder_outputs=n,this.decoder_attentions=r,this.cross_attentions=i}}class yo extends ei{constructor({logits:t}){super(),this.logits=t}}class wo extends ei{constructor({logits:t,embeddings:e}){super(),this.logits=t,this.embeddings=e}}class vo extends ei{constructor({logits:t}){super(),this.logits=t}}class xo extends ei{constructor({logits:t}){super(),this.logits=t}}class To extends ei{constructor({start_logits:t,end_logits:e}){super(),this.start_logits=t,this.end_logits=e}}class So extends ei{constructor({logits:t}){super(),this.logits=t}}class Ao extends ei{constructor({alphas:t}){super(),this.alphas=t}}class ko extends ei{constructor({waveform:t,spectrogram:e}){super(),this.waveform=t,this.spectrogram=e}}var Oo=n(806);const Eo="undefined"!=typeof self,Io=Eo&&"DedicatedWorkerGlobalScope"===self.constructor.name;let Po,Do,Co;if(Eo)Po=(t,e)=>{if(!self.OffscreenCanvas)throw new Error("OffscreenCanvas not supported by this browser.");return new self.OffscreenCanvas(t,e)},Co=self.createImageBitmap,Do=self.ImageData;else{if(!Oo)throw new Error("Unable to load image processing library.");Co=async t=>{const e=(await t.metadata()).channels;let{data:n,info:r}=await t.raw().toBuffer({resolveWithObject:!0});const i=new Fo(new Uint8ClampedArray(n),r.width,r.height,r.channels);return void 0!==e&&e!==r.channels&&i.convert(e),i}}const $o={0:"nearest",1:"lanczos",2:"bilinear",3:"bicubic",4:"box",5:"hamming"},Mo=new Map([["png","image/png"],["jpg","image/jpeg"],["jpeg","image/jpeg"],["gif","image/gif"]]);class Fo{constructor(t,e,n,r){this.data=t,this.width=e,this.height=n,this.channels=r}get size(){return[this.width,this.height]}static async read(t){if(t instanceof Fo)return t;if("string"==typeof t||t instanceof URL)return await this.fromURL(t);throw new Error("Unsupported input type: "+typeof t)}static async fromURL(t){let e=await R(t);if(200!==e.status)throw new Error(`Unable to read image from "${t}" (${e.status} ${e.statusText})`);let n=await e.blob();return this.fromBlob(n)}static async fromBlob(t){if(Eo){let e=await Co(t);const n=Po(e.width,e.height).getContext("2d");return n.drawImage(e,0,0),new this(n.getImageData(0,0,e.width,e.height).data,e.width,e.height,4)}{let e=Oo(await t.arrayBuffer());return await Co(e)}}static fromTensor(t,e="CHW"){if(3!==t.dims.length)throw new Error(`Tensor should have 3 dimensions, but has ${t.dims.length} dimensions.`);if("CHW"===e)t=t.transpose(1,2,0);else if("HWC"!==e)throw new Error(`Unsupported channel format: ${e}`);if(!(t.data instanceof Uint8ClampedArray||t.data instanceof Uint8Array))throw new Error(`Unsupported tensor type: ${t.type}`);switch(t.dims[2]){case 1:case 2:case 3:case 4:return new Fo(t.data,t.dims[1],t.dims[0],t.dims[2]);default:throw new Error(`Unsupported number of channels: ${t.dims[2]}`)}}grayscale(){if(1===this.channels)return this;let t=new Uint8ClampedArray(this.width*this.height*1);switch(this.channels){case 3:case 4:for(let e=0,n=0;e<this.data.length;e+=this.channels){const r=this.data[e],i=this.data[e+1],s=this.data[e+2];t[n++]=Math.round(.2989*r+.587*i+.114*s)}break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(t,this.width,this.height,1)}rgb(){if(3===this.channels)return this;let t=new Uint8ClampedArray(this.width*this.height*3);switch(this.channels){case 1:for(let e=0,n=0;e<this.data.length;++e)t[n++]=this.data[e],t[n++]=this.data[e],t[n++]=this.data[e];break;case 4:for(let e=0,n=0;e<this.data.length;e+=4)t[n++]=this.data[e],t[n++]=this.data[e+1],t[n++]=this.data[e+2];break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(t,this.width,this.height,3)}rgba(){if(4===this.channels)return this;let t=new Uint8ClampedArray(this.width*this.height*4);switch(this.channels){case 1:for(let e=0,n=0;e<this.data.length;++e)t[n++]=this.data[e],t[n++]=this.data[e],t[n++]=this.data[e],t[n++]=255;break;case 3:for(let e=0,n=0;e<this.data.length;e+=3)t[n++]=this.data[e],t[n++]=this.data[e+1],t[n++]=this.data[e+2],t[n++]=255;break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(t,this.width,this.height,4)}async resize(t,e,{resample:n=2}={}){let r=$o[n]??n;if(Eo){let n=this.channels,r=this.toCanvas();const i=Po(t,e).getContext("2d");return i.drawImage(r,0,0,t,e),new Fo(i.getImageData(0,0,t,e).data,t,e,4).convert(n)}{let n=this.toSharp();switch(r){case"box":case"hamming":"box"!==r&&"hamming"!==r||(console.warn(`Resampling method ${r} is not yet supported. 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n=this.channels,r=this.toCanvas(),o=Po(i,s).getContext("2d");return o.drawImage(r,t,e,i,s,0,0,i,s),new Fo(o.getImageData(0,0,i,s).data,i,s,4).convert(n)}{const n=this.toSharp().extract({left:t,top:e,width:i,height:s});return await Co(n)}}async center_crop(t,e){if(this.width===t&&this.height===e)return this;let n=(this.width-t)/2,r=(this.height-e)/2;if(Eo){let i=this.channels,s=this.toCanvas();const o=Po(t,e).getContext("2d");let a=0,u=0,l=0,c=0;return n>=0?a=n:l=-n,r>=0?u=r:c=-r,o.drawImage(s,a,u,t,e,l,c,t,e),new Fo(o.getImageData(0,0,t,e).data,t,e,4).convert(i)}{let i=this.toSharp();if(n>=0&&r>=0)i=i.extract({left:Math.floor(n),top:Math.floor(r),width:t,height:e});else if(n<=0&&r<=0){let s=Math.floor(-r),o=Math.floor(-n);i=i.extend({top:s,left:o,right:t-this.width-o,bottom:e-this.height-s})}else{let s=[0,0],o=0;r<0?(s[0]=Math.floor(-r),s[1]=e-this.height-s[0]):o=Math.floor(r);let a=[0,0],u=0;n<0?(a[0]=Math.floor(-n),a[1]=t-this.width-a[0]):u=Math.floor(n),i=i.extend({top:s[0],bottom:s[1],left:a[0],right:a[1]}).extract({left:u,top:o,width:t,height:e})}return await Co(i)}}async toBlob(t="image/png",e=1){if(!Eo)throw new Error("toBlob() is only supported in browser environments.");const n=this.toCanvas();return await n.convertToBlob({type:t,quality:e})}toTensor(t="CHW"){let e=new nt("uint8",new Uint8Array(this.data),[this.height,this.width,this.channels]);if("HWC"===t);else{if("CHW"!==t)throw new Error(`Unsupported channel format: ${t}`);e=e.permute(2,0,1)}return e}toCanvas(){if(!Eo)throw new Error("toCanvas() is only supported in browser environments.");let t=this.clone().rgba(),e=Po(t.width,t.height),n=new Do(t.data,t.width,t.height);return e.getContext("2d").putImageData(n,0,0),e}_update(t,e,n,r=null){return this.data=t,this.width=e,this.height=n,null!==r&&(this.channels=r),this}clone(){return new Fo(this.data.slice(),this.width,this.height,this.channels)}convert(t){if(this.channels===t)return this;switch(t){case 1:this.grayscale();break;case 3:this.rgb();break;case 4:this.rgba();break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this}async save(t){if(!Eo){if(M.useFS){const e=this.toSharp();return await e.toFile(t)}throw new Error("Unable to save the image because filesystem is disabled in this environment.")}{if(Io)throw new Error("Unable to save an image from a Web Worker.");const e=t.split(".").pop().toLowerCase(),n=Mo.get(e)??"image/png",r=await this.toBlob(n),i=URL.createObjectURL(r),s=document.createElement("a");s.href=i,s.download=t,s.click(),s.remove()}}toSharp(){if(Eo)throw new Error("toSharp() is only supported in server-side environments.");return Oo(this.data,{raw:{width:this.width,height:this.height,channels:this.channels}})}}function Lo(t){if(t<1)return new Float64Array;if(1===t)return new Float64Array([1]);const e=t-1,n=Math.PI/e,r=new Float64Array(t);for(let i=0;i<t;++i){const t=2*i-e;r[i]=.5+.5*Math.cos(n*t)}return r}const No={htk:t=>2595*Math.log10(1+t/700),kaldi:t=>1127*Math.log(1+t/700),slaney:(t,e=1e3,n=15,r=27/Math.log(6.4))=>t>=e?n+Math.log(t/e)*r:3*t/200};function Ro(t,e="htk"){const n=No[e];if(!n)throw new Error('mel_scale should be one of "htk", "slaney" or "kaldi".');return"number"==typeof t?n(t):t.map((t=>n(t)))}const jo={htk:t=>700*(10**(t/2595)-1),kaldi:t=>700*(Math.exp(t/1127)-1),slaney:(t,e=1e3,n=15,r=Math.log(6.4)/27)=>t>=n?e*Math.exp(r*(t-n)):200*t/3};function zo(t,e,n){const r=(e-t)/(n-1);return Float64Array.from({length:n},((e,n)=>t+r*n))}function Bo(t,e,n,r,i,s=null,o="htk",a=!1){if(null!==s&&"slaney"!==s)throw new Error('norm must be one of null or "slaney"');const u=zo(Ro(n,o),Ro(r,o),e+2);let l,c=function(t,e="htk"){const n=jo[e];if(!n)throw new Error('mel_scale should be one of "htk", "slaney" or "kaldi".');return"number"==typeof t?n(t):t.map((t=>n(t)))}(u,o);if(a){const e=i/(2*t);l=Ro(Float64Array.from({length:t},((t,n)=>n*e)),o),c=u}else l=zo(0,Math.floor(i/2),t);const d=function(t,e){const n=Float64Array.from({length:e.length-1},((t,n)=>e[n+1]-e[n])),r=Array.from({length:t.length},(()=>new Array(e.length)));for(let n=0;n<t.length;++n){const i=r[n];for(let r=0;r<e.length;++r)i[r]=e[r]-t[n]}const i=e.length-2,s=Array.from({length:i},(()=>new Array(t.length)));for(let e=0;e<t.length;++e){const t=r[e];for(let r=0;r<i;++r){const i=-t[r]/n[r],o=t[r+2]/n[r+1];s[r][e]=Math.max(0,Math.min(i,o))}}return s}(l,c);if(null!==s&&"slaney"===s)for(let n=0;n<e;++n){const e=d[n],r=2/(c[n+2]-c[n]);for(let n=0;n<t;++n)e[n]*=r}return d}function Uo(t,e,n,r,i){if(n<=0)throw new Error("reference must be greater than zero");if(r<=0)throw new Error("min_value must be greater than zero");n=Math.max(r,n);const s=Math.log10(n);for(let n=0;n<t.length;++n)t[n]=e*Math.log10(Math.max(r,t[n])-s);if(null!==i){if(i<=0)throw new Error("db_range 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x=Math.floor(1+Math.floor((t.length-n)/r)),T=u?Math.floor(i/2)+1:i;let S=x,A=x;null!==b&&(b>x?y&&(A=b):A=S=b);const k=new Z(i),O=new Float64Array(i),E=new Float64Array(k.outputBufferSize),I=new Array(S);for(let i=0;i<S;++i){const s=i*r;for(let e=0;e<n;++e)O[e]=t[s+e];if(_){let t=0;for(let e=0;e<n;++e)t+=O[e];const e=t/n;for(let t=0;t<n;++t)O[t]-=e}if(null!==l){for(let t=n-1;t>=1;--t)O[t]-=l*O[t-1];O[0]*=1-l}for(let t=0;t<e.length;++t)O[t]*=e[t];k.realTransform(E,O);const o=new Array(T);for(let t=0;t<o.length;++t){const e=t<<1;o[t]=E[e]**2+E[e+1]**2}I[i]=o}if(null!==s&&2!==s){const t=2/s;for(let e=0;e<I.length;++e){const n=I[e];for(let e=0;e<n.length;++e)n[e]**=t}}const P=c.length,D=new Float32Array(P*A),C=w?[A,P]:[P,A];for(let t=0;t<P;++t){const e=c[t];for(let n=0;n<S;++n){const r=I[n];let i=0;for(let t=0;t<T;++t)i+=e[t]*r[t];D[w?n*P+t:t*S+n]=Math.max(h,i)}}if(null!==s&&null!==p){const t=Math.min(D.length,S*P);switch(p){case"log":for(let e=0;e<t;++e)D[e]=Math.log(D[e]);break;case"log10":for(let e=0;e<t;++e)D[e]=Math.log10(D[e]);break;case"dB":if(1===s)!function(t,e=1,n=1e-5,r=null){Uo(t,20,e,n,r)}(D,f,g,m);else{if(2!==s)throw new Error(`Cannot use log_mel option '${p}' with power ${s}`);!function(t,e=1,n=1e-10,r=null){Uo(t,10,e,n,r)}(D,f,g,m)}break;default:throw new Error(`log_mel must be one of null, 'log', 'log10' or 'dB'. Got '${p}'`)}}return{data:D,dims:C}}function Go(t,e,{periodic:n=!0,frame_length:r=null,center:i=!0}={}){const s=n?t+1:t;let o;switch(e){case"boxcar":o=new Float64Array(s).fill(1);break;case"hann":case"hann_window":o=Lo(s);break;case"povey":o=Lo(s).map((t=>Math.pow(t,.85)));break;default:throw new Error(`Unknown window type ${e}.`)}if(n&&(o=o.subarray(0,t)),null===r)return o;if(t>r)throw new Error(`Length of the window (${t}) may not be larger than frame_length (${r})`);return o}function qo([t,e,n,r]){return[t-n/2,e-r/2,t+n/2,e+r/2]}function Wo(t,e=.5,n=null,r=!1){const i=t.logits,s=t.pred_boxes,[o,a,u]=i.dims;if(null!==n&&n.length!==o)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");let l=[];for(let t=0;t<o;++t){let o=null!==n?n[t]:null,c={boxes:[],classes:[],scores:[]},d=i[t],h=s[t];for(let t=0;t<a;++t){let n,i=d[t],s=[];if(r){n=i.sigmoid().data;for(let t=0;t<n.length;++t)n[t]>e&&s.push(t)}else{let t=H(i.data)[1];if(t===u-1)continue;s.push(t),n=G(i.data)}for(const e of s){let r=h[t].data;r=qo(r),null!==o&&(r=r.map(((t,e)=>t*o[(e+1)%2]))),c.boxes.push(r),c.classes.push(e),c.scores.push(n[e])}}l.push(c)}return l}function Ho(t,e){if(!(t instanceof Float32Array||t instanceof Float64Array))throw new Error(`${e} expects input to be a Float32Array or a Float64Array, but got ${t?.constructor?.name??typeof t} instead. If using the feature extractor directly, remember to use \`read_audio(url, sampling_rate)\` to obtain the raw audio data of the file/url.`)}function Xo(t,e,n=0,r=null){const i=t/e;let s=function(t){const e=Math.round(t);return Math.abs(t)%1==.5?e%2==0?e:e-1:e}(i)*e;return null!==r&&s>r&&(s=Math.floor(i)*e),s<n&&(s=Math.ceil(i)*e),s}function Yo([t,e],n){return[Math.max(Math.floor(t/n),1)*n,Math.max(Math.floor(e/n),1)*n]}class Ko extends s{constructor(t){super(),this.config=t}}class Zo extends Ko{constructor(t){super(t),this.image_mean=this.config.image_mean??this.config.mean,this.image_std=this.config.image_std??this.config.std,this.resample=this.config.resample??2,this.do_rescale=this.config.do_rescale??!0,this.rescale_factor=this.config.rescale_factor??1/255,this.do_normalize=this.config.do_normalize,this.do_resize=this.config.do_resize,this.do_thumbnail=this.config.do_thumbnail,this.size=this.config.size,this.size_divisibility=this.config.size_divisibility??this.config.size_divisor,this.do_center_crop=this.config.do_center_crop,this.crop_size=this.config.crop_size,this.do_convert_rgb=this.config.do_convert_rgb??!0,this.do_crop_margin=this.config.do_crop_margin,this.pad_size=this.config.pad_size,this.do_pad=this.config.do_pad,this.do_pad&&!this.pad_size&&this.size&&void 0!==this.size.width&&void 0!==this.size.height&&(this.pad_size=this.size)}async thumbnail(t,e,n=2){const r=t.height,i=t.width,s=e.height,o=e.width;let a=Math.min(r,s),u=Math.min(i,o);return a===r&&u===i?t:(r>i?u=Math.floor(i*a/r):i>r&&(a=Math.floor(r*u/i)),await t.resize(u,a,{resample:n}))}async crop_margin(t,e=200){const n=t.clone().grayscale(),r=W(n.data)[0],i=H(n.data)[0]-r;if(0===i)return t;const s=e/255;let o=n.width,a=n.height,u=0,l=0;for(let t=0;t<n.height;++t){const e=t*n.width;for(let c=0;c<n.width;++c)(n.data[e+c]-r)/i<s&&(o=Math.min(o,c),a=Math.min(a,t),u=Math.max(u,c),l=Math.max(l,t))}return await t.crop([o,a,u,l])}pad_image(t,e,n,{mode:r="constant",center:i=!1,constant_values:s=0}={}){const[o,a,u]=e;let l,c;if("number"==typeof n?(l=n,c=n):(l=n.width,c=n.height),l!==a||c!==o){const n=new Float32Array(l*c*u);if(Array.isArray(s))for(let t=0;t<n.length;++t)n[t]=s[t%u];else 0!==s&&n.fill(s);const[h,p]=i?[Math.floor((l-a)/2),Math.floor((c-o)/2)]:[0,0];for(let e=0;e<o;++e){const r=(e+p)*l,i=e*a;for(let e=0;e<a;++e){const s=(r+e+h)*u,o=(i+e)*u;for(let e=0;e<u;++e)n[s+e]=t[o+e]}}if("symmetric"===r){if(i)throw new Error("`center` padding is not supported when `mode` is set to `symmetric`.");const e=o-1,r=a-1;for(let i=0;i<c;++i){const s=i*l,c=d(i,e)*a;for(let e=0;e<l;++e){if(i<o&&e<a)continue;const l=(s+e)*u,h=(c+d(e,r))*u;for(let e=0;e<u;++e)n[l+e]=t[h+e]}}}t=n,e=[c,l,u]}return[t,e]}rescale(t){for(let e=0;e<t.length;++e)t[e]=this.rescale_factor*t[e]}get_resize_output_image_size(t,e){const[n,r]=t.size;let i,s;if(this.do_thumbnail){const{height:t,width:n}=e;i=Math.min(t,n)}else Number.isInteger(e)?(i=e,s=this.config.max_size??i):void 0!==e&&(i=e.shortest_edge,s=e.longest_edge);if(void 0!==i||void 0!==s){const t=void 0===i?1:Math.max(i/n,i/r),e=n*t,o=r*t,a=void 0===s?1:Math.min(s/e,s/o);let u=Math.floor(Number((e*a).toFixed(2))),l=Math.floor(Number((o*a).toFixed(2)));return void 0!==this.size_divisibility&&([u,l]=Yo([u,l],this.size_divisibility)),[u,l]}if(void 0!==e&&void 0!==e.width&&void 0!==e.height){let t=e.width,i=e.height;if(this.config.keep_aspect_ratio&&this.config.ensure_multiple_of){let e=i/r,s=t/n;Math.abs(1-s)<Math.abs(1-e)?e=s:s=e,i=Xo(e*r,this.config.ensure_multiple_of),t=Xo(s*n,this.config.ensure_multiple_of)}return[t,i]}if(void 0!==this.size_divisibility)return Yo([n,r],this.size_divisibility);throw new Error(`Could not resize image due to unsupported \`this.size\` option in config: ${JSON.stringify(e)}`)}async resize(t){const[e,n]=this.get_resize_output_image_size(t,this.size);return await t.resize(e,n,{resample:this.resample})}async preprocess(t,{do_normalize:e=null,do_pad:n=null,do_convert_rgb:r=null,do_convert_grayscale:i=null}={}){this.do_crop_margin&&(t=await this.crop_margin(t));const[s,o]=t.size;if(r??this.do_convert_rgb?t=t.rgb():i&&(t=t.grayscale()),this.do_resize&&(t=await this.resize(t)),this.do_thumbnail&&(t=await this.thumbnail(t,this.size,this.resample)),this.do_center_crop){let e,n;Number.isInteger(this.crop_size)?(e=this.crop_size,n=this.crop_size):(e=this.crop_size.width,n=this.crop_size.height),t=await t.center_crop(e,n)}const a=[t.height,t.width];let u=Float32Array.from(t.data),l=[t.height,t.width,t.channels];if(this.do_rescale&&this.rescale(u),e??this.do_normalize){let e=this.image_mean;Array.isArray(this.image_mean)||(e=new Array(t.channels).fill(e));let n=this.image_std;if(Array.isArray(this.image_std)||(n=new Array(t.channels).fill(e)),e.length!==t.channels||n.length!==t.channels)throw new Error(`When set to arrays, the length of \`image_mean\` (${e.length}) and \`image_std\` (${n.length}) must match the number of channels in the image (${t.channels}).`);for(let r=0;r<u.length;r+=t.channels)for(let i=0;i<t.channels;++i)u[r+i]=(u[r+i]-e[i])/n[i]}if(n??this.do_pad)if(this.pad_size){const e=this.pad_image(u,[t.height,t.width,t.channels],this.pad_size);[u,l]=e}else if(this.size_divisibility){const[t,e]=Yo([l[1],l[0]],this.size_divisibility);[u,l]=this.pad_image(u,l,{width:t,height:e})}return{original_size:[o,s],reshaped_input_size:a,pixel_values:new nt("float32",u,l).permute(2,0,1)}}async _call(t,...e){Array.isArray(t)||(t=[t]);const n=await Promise.all(t.map((t=>this.preprocess(t))));return{pixel_values:ut(n.map((t=>t.pixel_values)),0),original_sizes:n.map((t=>t.original_size)),reshaped_input_sizes:n.map((t=>t.reshaped_input_size))}}}class Jo extends Zo{post_process_semantic_segmentation(t,e=null){const n=t.logits,r=n.dims[0];if(null!==e&&e.length!==r)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");const i=[];for(let t=0;t<r;++t){const r=null!==e?e[t]:null;let s=n[t];null!==r&&(s=rt(s,r,"bilinear",!1));const[o,a]=r??s.dims.slice(-2),u=new nt("int32",new Int32Array(o*a),[o,a]),l=s[0].data;for(let t=1;t<s.dims[0];++t){const e=s[t].data;for(let n=0;n<e.length;++n)e[n]>l[n]&&(l[n]=e[n],u.data[n]=t)}const c=new Array(s.dims[0]),d=u.data;for(let t=0;t<d.length;++t){const e=d[t];c[e]=e}const h=c.filter((t=>void 0!==t));i.push({segmentation:u,labels:h})}return i}}class Qo extends Zo{}class ta extends Qo{}class ea extends Zo{}class na extends Zo{}class ra extends Zo{}class ia extends Zo{}class sa extends Zo{}class oa extends Zo{constructor(t){super(t),this.crop_pct=this.config.crop_pct??.875}async resize(t){const e=this.size?.shortest_edge;if(void 0===e)throw new Error("Size dictionary must contain 'shortest_edge' key.");if(e<384){const n=Math.floor(e/this.crop_pct),[r,i]=this.get_resize_output_image_size(t,{shortest_edge:n});t=await t.resize(r,i,{resample:this.resample}),t=await t.center_crop(e,e)}else t=await t.resize(e,e,{resample:this.resample});return t}}class aa extends oa{}class ua extends Zo{}class la extends Zo{}class ca extends Zo{constructor(t){super(t),this.include_top=this.config.include_top??!0,this.include_top&&(this.image_std=this.image_std.map((t=>t*t)))}}class da extends Zo{}class ha extends Zo{post_process_object_detection(...t){return Wo(...t)}}class pa extends ha{}class fa extends Zo{}class ga extends Zo{}class ma extends Zo{pad_image(t,e,n,r={}){const[i,s,o]=e;let a=this.image_mean;Array.isArray(this.image_mean)||(a=new Array(o).fill(a));let u=this.image_std;Array.isArray(u)||(u=new Array(o).fill(a));const l=a.map(((t,e)=>-t/u[e]));return super.pad_image(t,e,n,{center:!0,constant_values:l,...r})}}class _a extends ma{}class ba extends Zo{async _call(t){const e=await super._call(t),n=[e.pixel_values.dims[0],64,64],r=new nt("int64",new BigInt64Array(n.reduce(((t,e)=>t*e))).fill(1n),n);return{...e,pixel_mask:r}}post_process_object_detection(...t){return Wo(...t)}remove_low_and_no_objects(t,e,n,r){let i=[],s=[],o=[];for(let a=0;a<t.dims[0];++a){let u=t[a],l=e[a],c=H(u.data)[1];if(c===r)continue;let d=G(u.data)[c];d>n&&(i.push(l),s.push(d),o.push(c))}return[i,s,o]}check_segment_validity(t,e,n,r=.5,i=.8){let s=[],o=0,a=0;for(let i=0;i<t.length;++i)t[i]===n&&(s.push(i),++o),e[n].data[i]>=r&&++a;let u=o>0&&a>0;return u&&(u=o/a>i),[u,s]}compute_segments(t,e,n,r,i,s=null,o=null){let[a,u]=o??t[0].dims,l=new nt("int32",new Int32Array(a*u),[a,u]),c=[];if(null!==o)for(let e=0;e<t.length;++e)t[e]=rt(t[e],o,"bilinear",!1);let d=new Int32Array(t[0].data.length),h=new Float32Array(t[0].data.length);for(let n=0;n<t.length;++n){let r=e[n];for(let e=0;e<t[n].data.length;++e)t[n].data[e]*=r,t[n].data[e]>h[e]&&(d[e]=n,h[e]=t[n].data[e])}let p=0;for(let s=0;s<n.length;++s){let o=n[s],[a,u]=this.check_segment_validity(d,t,s,r,i);if(a){++p;for(let t of u)l.data[t]=p;c.push({id:p,label_id:o,score:e[s]})}}return[l,c]}post_process_panoptic_segmentation(t,e=.5,n=.5,r=.8,i=null,s=null){null===i&&(console.warn("`label_ids_to_fuse` unset. No instance will be fused."),i=new Set);const o=t.logits,a=t.pred_masks.sigmoid();let[u,l,c]=o.dims;if(c-=1,null!==s&&s.length!==u)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");let d=[];for(let t=0;t<u;++t){let u=null!==s?s[t]:null,l=o[t],h=a[t],[p,f,g]=this.remove_low_and_no_objects(l,h,e,c);if(0===g.length){let[t,e]=u??h.dims.slice(-2),n=new nt("int32",new Int32Array(t*e).fill(-1),[t,e]);d.push({segmentation:n,segments_info:[]});continue}let[m,_]=this.compute_segments(p,f,g,n,r,i,u);d.push({segmentation:m,segments_info:_})}return d}post_process_instance_segmentation(){throw Error("Not implemented yet")}}class ya extends Zo{post_process_object_detection(...t){return Wo(...t)}}class wa extends Zo{reshape_input_points(t,e,n){let r=a(t=structuredClone(t));if(3===r.length)r=[1,...r],t=[t];else if(4!==r.length)throw Error("The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`.");for(let r=0;r<t.length;++r){let i=e[r],s=n[r],o=[s[0]/i[0],s[1]/i[1]];for(let e=0;e<t[r].length;++e)for(let n=0;n<t[r][e].length;++n)for(let i=0;i<t[r][e][n].length;++i)t[r][e][n][i]*=o[i]}return new nt("float32",Float32Array.from(t.flat(1/0)),r)}add_input_labels(t,e){let n=a(t);if(2===n.length)n=[1,...n],t=[t];else if(3!==n.length)throw Error("The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`.");if(n.some(((t,n)=>t!==e.dims[n])))throw Error(`The first ${n.length} dimensions of 'input_points' and 'input_labels' must be the same.`);return new nt("int64",t.flat(1/0).map(BigInt),n)}async _call(t,e=null,n=null){const r=await super._call(t);if(e&&(r.input_points=this.reshape_input_points(e,r.original_sizes,r.reshaped_input_sizes)),n){if(!r.input_points)throw Error("`input_points` must be provided if `input_labels` are provided.");r.input_labels=this.add_input_labels(n,r.input_points)}return r}post_process_masks(t,e,n,{mask_threshold:r=0,binarize:i=!0,pad_size:s=null}={}){const o=[],a=[(s=s??this.pad_size).height,s.width];for(let s=0;s<e.length;++s){const u=e[s],l=n[s],c=t[s],d=[];for(let t=0;t<c.dims[0];++t){let e=rt(c[t],a,"bilinear",!1);if(e=e.slice(null,[0,l[0]],[0,l[1]]),e=rt(e,u,"bilinear",!1),i){const t=new Uint8Array(e.data.length);for(let n=0;n<e.data.length;++n)e.data[n]>r&&(t[n]=1);e=new nt("bool",t,e.dims)}d.push(e)}o.push(ut(d))}return o}}class va extends Zo{pad_image(t,e,n,r={}){const[i,s,o]=e;return super.pad_image(t,e,{width:s+(n-s%n)%n,height:i+(n-i%n)%n},{mode:"symmetric",center:!1,constant_values:-1,...r})}}class xa extends Zo{async _call(t,e){Array.isArray(t)||(t=[t]),Array.isArray(e)||(e=[e]);const n=await Promise.all(t.map((t=>this.preprocess(t)))),r=await Promise.all(e.map((t=>this.preprocess(t,{do_normalize:!1,do_convert_rgb:!1,do_convert_grayscale:!0}))));return{pixel_values:ut(n.map(((t,e)=>at([t.pixel_values,r[e].pixel_values],0))),0),original_sizes:n.map((t=>t.original_size)),reshaped_input_sizes:n.map((t=>t.reshaped_input_size))}}}class Ta extends Ko{constructor(t){super(t),this.config.mel_filters??=Bo(Math.floor(1+this.config.n_fft/2),this.config.feature_size,0,8e3,this.config.sampling_rate,"slaney","slaney"),this.window=Go(this.config.n_fft,"hann")}_extract_fbank_features(t){const{data:e,dims:n}=Vo(t,this.window,this.config.n_fft,this.config.hop_length,{power:2,mel_filters:this.config.mel_filters,log_mel:"log10",max_num_frames:this.config.nb_max_frames}),r=H(e)[0];for(let t=0;t<e.length;++t)e[t]=(Math.max(e[t],r-8)+4)/4;return{data:e,dims:n}}async _call(t){let e;Ho(t,"WhisperFeatureExtractor"),t.length>this.config.n_samples?(console.warn("Attempting to extract features for audio longer than 30 seconds. If using a pipeline to extract transcript from a long audio clip, remember to specify `chunk_length_s` and/or `stride_length_s`."),e=t.slice(0,this.config.n_samples)):(e=new Float32Array(this.config.n_samples),e.set(t));const{data:n,dims:r}=this._extract_fbank_features(e);return{input_features:new nt("float32",n,[1,...r])}}}class Sa extends Ko{_zero_mean_unit_var_norm(t){const e=t.reduce(((t,e)=>t+e),0)/t.length,n=t.reduce(((t,n)=>t+(n-e)**2),0)/t.length;return t.map((t=>(t-e)/Math.sqrt(n+1e-7)))}async _call(t){Ho(t,"Wav2Vec2FeatureExtractor"),t instanceof Float64Array&&(t=new Float32Array(t));let e=t;this.config.do_normalize&&(e=this._zero_mean_unit_var_norm(e));const n=[1,e.length];return{input_values:new nt("float32",e,n),attention_mask:new nt("int64",new BigInt64Array(e.length).fill(1n),n)}}}class Aa extends Ko{constructor(t){super(t);const e=this.config.sampling_rate,n=Bo(256,this.config.num_mel_bins,20,Math.floor(e/2),e,null,"kaldi",!0);for(let t=0;t<n.length;++t)n[t].push(0);this.mel_filters=n,this.window=Go(400,"povey",{periodic:!1})}_extract_fbank_features(t,e){return Vo(t=t.map((t=>32768*t)),this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:"log",mel_floor:1.192092955078125e-7,remove_dc_offset:!0,max_num_frames:e,transpose:!0})}async _call(t,{padding:e=!0,pad_to_multiple_of:n=2,do_normalize_per_mel_bins:r=!0,return_attention_mask:i=!0}={}){Ho(t,"SeamlessM4TFeatureExtractor");let s,o=this._extract_fbank_features(t,this.config.max_length);if(r){const[t,e]=o.dims;for(let n=0;n<e;++n){let r=0;for(let i=0;i<t;++i)r+=o.data[i*e+n];const i=r/t;let s=0;for(let r=0;r<t;++r)s+=(o.data[r*e+n]-i)**2;s/=t-1;const a=Math.sqrt(s+1e-7);for(let r=0;r<t;++r){const t=r*e+n;o.data[t]=(o.data[t]-i)/a}}}if(e){const[t,e]=o.dims,r=t%n;if(r>0){const n=new Float32Array(e*(t+r));n.set(o.data),n.fill(this.config.padding_value,o.data.length);const a=t+r;o={data:n,dims:[a,e]},i&&(s=new nt("int64",new BigInt64Array(a),[1,a]),s.data.fill(1n,0,t))}}const[a,u]=o.dims,l=this.config.stride;if(0!=a%l)throw new Error(`The number of frames (${a}) must be a multiple of the stride (${l}).`);const c=new nt("float32",o.data,o.dims).view(1,Math.floor(a/l),u*l),d={input_features:c};if(i){const t=c.dims[1],e=new nt("int64",new BigInt64Array(t),[1,t]);if(s)for(let t=1,n=0;t<a;t+=l,++n)e.data[n]=s.data[t];else e.data.fill(1n);d.attention_mask=e}return d}}class ka extends Ko{constructor(t){super(t);const e=this.config.sampling_rate,n=Bo(256,this.config.num_mel_bins,20,Math.floor(e/2),e,null,"kaldi",!0);for(let t=0;t<n.length;++t)n[t].push(0);this.mel_filters=n,this.window=Go(400,"hann",{periodic:!1}),this.mean=this.config.mean,this.std=this.config.std}_extract_fbank_features(t,e){return Vo(t,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:"log",mel_floor:1.192092955078125e-7,remove_dc_offset:!0,max_num_frames:e,transpose:!0})}async _call(t){Ho(t,"ASTFeatureExtractor");const e=this._extract_fbank_features(t,this.config.max_length);if(this.config.do_normalize){const t=2*this.std;for(let n=0;n<e.data.length;++n)e.data[n]=(e.data[n]-this.mean)/t}return{input_values:new nt("float32",e.data,[1,...e.dims])}}}class Oa extends Ko{constructor(t){super(t),this.mel_filters=Bo(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,null,"htk"),this.mel_filters_slaney=Bo(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,"slaney","slaney"),this.window=Go(this.config.fft_window_size,"hann")}_get_input_mel(t,e,n,r){let i,s=!1;const o=t.length-e;if(o>0){if("rand_trunc"!==n)throw new Error(`Truncation strategy "${n}" not implemented`);{s=!0;const n=Math.floor(Math.random()*(o+1));t=t.subarray(n,n+e),i=this._extract_fbank_features(t,this.mel_filters_slaney,this.config.nb_max_samples),i.dims=[1,...i.dims]}}else{if(o<0){let n=new Float64Array(e);if(n.set(t),"repeat"===r)for(let r=t.length;r<e;r+=t.length)n.set(t.subarray(0,Math.min(t.length,e-r)),r);else if("repeatpad"===r)for(let e=t.length;e<-o;e+=t.length)n.set(t,e);t=n}if("fusion"===n)throw new Error(`Truncation strategy "${n}" not implemented`);i=this._extract_fbank_features(t,this.mel_filters_slaney,this.config.nb_max_samples),i.dims=[1,...i.dims]}return{...i,longer:s}}_extract_fbank_features(t,e,n=null){return Vo(t,this.window,this.config.fft_window_size,this.config.hop_length,{power:2,mel_filters:e,log_mel:"dB",max_num_frames:n,do_pad:!1,transpose:!0})}async _call(t,{max_length:e=null}={}){Ho(t,"ClapFeatureExtractor");const n=this._get_input_mel(t,e??this.config.nb_max_samples,this.config.truncation,this.config.padding);return{input_features:new nt("float32",n.data,[1,...n.dims])}}}class Ea extends Ko{}class Ia extends s{constructor(t){super(),this.feature_extractor=t}async _call(t,...e){return await this.feature_extractor(t,...e)}}class Pa extends Ia{async _call(...t){return await this.feature_extractor(...t)}post_process_masks(...t){return this.feature_extractor.post_process_masks(...t)}reshape_input_points(...t){return this.feature_extractor.reshape_input_points(...t)}}class Da extends Ia{async _call(t){return await this.feature_extractor(t)}}class Ca extends Ia{async _call(t){return await this.feature_extractor(t)}}class $a extends Ia{async _call(t){return await this.feature_extractor(t)}}class Ma extends Ia{}class Fa{static FEATURE_EXTRACTOR_CLASS_MAPPING={ImageFeatureExtractor:Zo,WhisperFeatureExtractor:Ta,ViTFeatureExtractor:ua,MobileViTFeatureExtractor:da,OwlViTFeatureExtractor:ha,Owlv2ImageProcessor:pa,CLIPFeatureExtractor:ra,ChineseCLIPFeatureExtractor:ia,SiglipImageProcessor:sa,ConvNextFeatureExtractor:oa,ConvNextImageProcessor:aa,SegformerFeatureExtractor:Jo,BitImageProcessor:ea,DPTImageProcessor:ta,DPTFeatureExtractor:Qo,GLPNFeatureExtractor:na,BeitFeatureExtractor:ga,DeiTFeatureExtractor:fa,DetrFeatureExtractor:ba,YolosFeatureExtractor:ya,DonutFeatureExtractor:ma,NougatImageProcessor:_a,EfficientNetImageProcessor:ca,ViTImageProcessor:la,VitMatteImageProcessor:xa,SamImageProcessor:wa,Swin2SRImageProcessor:va,Wav2Vec2FeatureExtractor:Sa,SeamlessM4TFeatureExtractor:Aa,SpeechT5FeatureExtractor:Ea,ASTFeatureExtractor:ka,ClapFeatureExtractor:Oa};static PROCESSOR_CLASS_MAPPING={WhisperProcessor:Da,Wav2Vec2ProcessorWithLM:Ca,SamProcessor:Pa,SpeechT5Processor:$a,OwlViTProcessor:Ma};static async from_pretrained(t,{progress_callback:e=null,config:n=null,cache_dir:r=null,local_files_only:i=!1,revision:s="main"}={}){let o=n??await U(t,"preprocessor_config.json",!0,{progress_callback:e,config:n,cache_dir:r,local_files_only:i,revision:s}),a=o.feature_extractor_type??o.image_processor_type,u=this.FEATURE_EXTRACTOR_CLASS_MAPPING[a];if(!u){if(void 0===o.size)throw new Error(`Unknown Feature Extractor type: ${a}`);console.warn(`Feature extractor type "${a}" not found, assuming ImageFeatureExtractor due to size parameter in config.`),u=Zo}return new(this.PROCESSOR_CLASS_MAPPING[o.processor_class]??Ia)(new u(o))}}async function La(t){return Array.isArray(t)||(t=[t]),await Promise.all(t.map((t=>Fo.read(t))))}async function Na(t,e){return Array.isArray(t)||(t=[t]),await Promise.all(t.map((t=>"string"==typeof t||t instanceof URL?async function(t,e){if("undefined"==typeof AudioContext)throw Error("Unable to load audio from path/URL since `AudioContext` is not available in your environment. Instead, audio data should be passed directly to the pipeline/processor. For more information and some example code, see https://huggingface.co/docs/transformers.js/guides/node-audio-processing.");const n=await(await R(t)).arrayBuffer(),r=new AudioContext({sampleRate:e});void 0===e&&console.warn(`No sampling rate provided, using default of ${r.sampleRate}Hz.`);const i=await r.decodeAudioData(n);let s;if(2===i.numberOfChannels){const t=Math.sqrt(2),e=i.getChannelData(0),n=i.getChannelData(1);s=new Float32Array(e.length);for(let r=0;r<i.length;++r)s[r]=t*(e[r]+n[r])/2}else s=i.getChannelData(0);return s}(t,e):t instanceof Float64Array?new Float32Array(t):t)))}function Ra(t,e){e&&(t=t.map((t=>0|t)));const[n,r,i,s]=t;return{xmin:n,ymin:r,xmax:i,ymax:s}}class ja extends s{constructor({task:t,model:e,tokenizer:n=null,processor:r=null}){super(),this.task=t,this.model=e,this.tokenizer=n,this.processor=r}async dispose(){await this.model.dispose()}}class za extends ja{_key="generated_text";constructor(t){super(t)}async _call(t,e={}){Array.isArray(t)||(t=[t]),this.model.config.prefix&&(t=t.map((t=>this.model.config.prefix+t)));const n=this.model.config.task_specific_params;n&&n[this.task]&&n[this.task].prefix&&(t=t.map((t=>n[this.task].prefix+t)));const r=this.tokenizer,i={padding:!0,truncation:!0};let s;s=this instanceof Ba&&"_build_translation_inputs"in r?r._build_translation_inputs(t,i,e).input_ids:r(t,i).input_ids;const o=await this.model.generate(s,e);return r.batch_decode(o,{skip_special_tokens:!0}).map((t=>({[this._key]:t})))}}class Ba extends za{_key="translation_text";constructor(t){super(t)}}Object.freeze({"text-classification":{tokenizer:hr,pipeline:class extends ja{constructor(t){super(t)}async _call(t,{topk:e=1}={}){const n=this.tokenizer(t,{padding:!0,truncation:!0}),r=await this.model(n),i="multi_label_classification"===this.model.config.problem_type?t=>t.sigmoid().data:t=>G(t.data),s=this.model.config.id2label,o=[];for(const t of r.logits){const n=q(i(t),e).map((t=>({label:s[t[0]],score:t[1]})));1===e?o.push(...n):o.push(n)}return Array.isArray(t)||1===e?o:o[0]}},model:mo,default:{model:"Xenova/distilbert-base-uncased-finetuned-sst-2-english"},type:"text"},"token-classification":{tokenizer:hr,pipeline:class extends ja{constructor(t){super(t)}async _call(t,{ignore_labels:e=["O"]}={}){const n=Array.isArray(t),r=this.tokenizer(n?t:[t],{padding:!0,truncation:!0}),i=(await this.model(r)).logits,s=this.model.config.id2label,o=[];for(let t=0;t<i.dims[0];++t){const n=r.input_ids[t],a=i[t],u=[];for(let t=0;t<a.dims[0];++t){const r=a[t],i=H(r.data)[1],o=s?s[i]:`LABEL_${i}`;if(e.includes(o))continue;const l=this.tokenizer.decode([n[t].item()],{skip_special_tokens:!0});if(""===l)continue;const c=G(r.data);u.push({entity:o,score:c[i],index:t,word:l,start:null,end:null})}o.push(u)}return n?o:o[0]}},model:class extends Ns{static MODEL_CLASS_MAPPINGS=[qs]},default:{model:"Xenova/bert-base-multilingual-cased-ner-hrl"},type:"text"},"question-answering":{tokenizer:hr,pipeline:class extends ja{constructor(t){super(t)}async _call(t,e,{topk:n=1}={}){const r=this.tokenizer(t,{text_pair:e,padding:!0,truncation:!0}),i=await this.model(r),s=[];for(let t=0;t<i.start_logits.dims[0];++t){const e=r.input_ids[t],o=e.indexOf(this.tokenizer.sep_token_id),a=c(Array.from(G(i.start_logits[t].data)).map(((t,e)=>[t,e])).filter((t=>t[1]>o)),Array.from(G(i.end_logits[t].data)).map(((t,e)=>[t,e])).filter((t=>t[1]>o))).filter((t=>t[0][1]<=t[1][1])).map((t=>[t[0][1],t[1][1],t[0][0]*t[1][0]])).sort(((t,e)=>e[2]-t[2]));for(let t=0;t<Math.min(a.length,n);++t){const[n,r,i]=a[t],o=[...e].slice(n,r+1),u=this.tokenizer.decode(o,{skip_special_tokens:!0});s.push({answer:u,score:i})}}return 1===n?s[0]:s}},model:class extends Ns{static MODEL_CLASS_MAPPINGS=[Ys]},default:{model:"Xenova/distilbert-base-cased-distilled-squad"},type:"text"},"fill-mask":{tokenizer:hr,pipeline:class extends ja{constructor(t){super(t)}async _call(t,{topk:e=5}={}){const n=this.tokenizer(t,{padding:!0,truncation:!0}),r=await this.model(n),i=[];for(let t=0;t<n.input_ids.dims[0];++t){const s=n.input_ids[t],o=s.indexOf(this.tokenizer.mask_token_id);if(-1===o)throw Error(`Mask token (${this.tokenizer.mask_token}) not found in text.`);const a=q(G(r.logits[t][o].data),e);i.push(a.map((t=>{const e=[...s];return e[o]=t[0],{score:t[1],token:t[0],token_str:this.tokenizer.model.vocab[t[0]],sequence:this.tokenizer.decode(e,{skip_special_tokens:!0})}})))}return Array.isArray(t)?i:i[0]}},model:class extends Ns{static MODEL_CLASS_MAPPINGS=[Xs]},default:{model:"Xenova/bert-base-uncased"},type:"text"},summarization:{tokenizer:hr,pipeline:class extends za{_key="summary_text";constructor(t){super(t)}},model:_o,default:{model:"Xenova/distilbart-cnn-6-6"},type:"text"},translation:{tokenizer:hr,pipeline:Ba,model:_o,default:{model:"Xenova/t5-small"},type:"text"},"text2text-generation":{tokenizer:hr,pipeline:za,model:_o,default:{model:"Xenova/flan-t5-small"},type:"text"},"text-generation":{tokenizer:hr,pipeline:class extends ja{constructor(t){super(t)}async _call(t,e={}){const n=Array.isArray(t);n||(t=[t]);const r=e.add_special_tokens??!1;this.tokenizer.padding_side="left";const{input_ids:i,attention_mask:s}=this.tokenizer(t,{add_special_tokens:r,padding:!0,truncation:!0}),o=await this.model.generate(i,e,null,{inputs_attention_mask:s}),a=this.tokenizer.batch_decode(o,{skip_special_tokens:!0}),u=Array.from({length:t.length},(t=>[]));for(let e=0;e<a.length;++e)u[Math.floor(e/o.length*t.length)].push({generated_text:a[e]});return n||1!==u.length?u:u[0]}},model:class extends Ns{static MODEL_CLASS_MAPPINGS=[Hs]},default:{model:"Xenova/gpt2"},type:"text"},"zero-shot-classification":{tokenizer:hr,pipeline:class extends ja{constructor(t){super(t),this.label2id=Object.fromEntries(Object.entries(this.model.config.label2id).map((([t,e])=>[t.toLowerCase(),e]))),this.entailment_id=this.label2id.entailment,void 0===this.entailment_id&&(console.warn("Could not find 'entailment' in label2id mapping. Using 2 as entailment_id."),this.entailment_id=2),this.contradiction_id=this.label2id.contradiction??this.label2id.not_entailment,void 0===this.contradiction_id&&(console.warn("Could not find 'contradiction' in label2id mapping. Using 0 as contradiction_id."),this.contradiction_id=0)}async _call(t,e,{hypothesis_template:n="This example is {}.",multi_label:r=!1}={}){const i=Array.isArray(t);i||(t=[t]),Array.isArray(e)||(e=[e]);const s=e.map((t=>n.replace("{}",t))),o=r||1===e.length,a=[];for(const n of t){const t=[];for(const e of s){const r=this.tokenizer(n,{text_pair:e,padding:!0,truncation:!0}),i=await this.model(r);o?t.push([i.logits.data[this.contradiction_id],i.logits.data[this.entailment_id]]):t.push(i.logits.data[this.entailment_id])}const r=(o?t.map((t=>G(t)[1])):G(t)).map(((t,e)=>[t,e])).sort(((t,e)=>e[0]-t[0]));a.push({sequence:n,labels:r.map((t=>e[t[1]])),scores:r.map((t=>t[0]))})}return i?a:a[0]}},model:mo,default:{model:"Xenova/distilbert-base-uncased-mnli"},type:"text"},"audio-classification":{pipeline:class extends ja{constructor(t){super(t)}async _call(t,{topk:e=null}={}){const n=!Array.isArray(t),r=this.processor.feature_extractor.config.sampling_rate,i=await Na(t,r),s=this.model.config.id2label,o=[];for(const t of i){const n=await this.processor(t),r=q(G((await this.model(n)).logits[0].data),e).map((t=>({label:s[t[0]],score:t[1]})));1===e?o.push(...r):o.push(r)}return n&&1!==e?o[0]:o}},model:class extends Ns{static MODEL_CLASS_MAPPINGS=[so]},processor:Fa,default:{model:"Xenova/wav2vec2-base-superb-ks"},type:"audio"},"zero-shot-audio-classification":{tokenizer:hr,pipeline:class extends ja{constructor(t){super(t)}async _call(t,e,{hypothesis_template:n="This is a sound of {}."}={}){const r=!Array.isArray(t);r&&(t=[t]);const i=e.map((t=>n.replace("{}",t))),s=this.tokenizer(i,{padding:!0,truncation:!0}),o=this.processor.feature_extractor.config.sampling_rate,a=await Na(t,o),u=[];for(const t of a){const n=await this.processor(t),r=G((await this.model({...s,...n})).logits_per_audio.data);u.push([...r].map(((t,n)=>({score:t,label:e[n]}))))}return r?u[0]:u}},model:go,processor:Fa,default:{model:"Xenova/clap-htsat-unfused"},type:"multimodal"},"automatic-speech-recognition":{tokenizer:hr,pipeline:class extends ja{constructor(t){super(t)}async _call(t,e={}){switch(this.model.config.model_type){case"whisper":return this._call_whisper(t,e);case"wav2vec2":case"wav2vec2-bert":case"unispeech":case"unispeech-sat":case"hubert":return this._call_wav2vec2(t,e);default:throw new Error(`AutomaticSpeechRecognitionPipeline does not support model type '${this.model.config.model_type}'.`)}}async _call_wav2vec2(t,e={}){e.language&&console.warn('`language` parameter is not yet supported for `wav2vec2` models, defaulting to "English".'),e.task&&console.warn('`task` parameter is not yet supported for `wav2vec2` models, defaulting to "transcribe".');const n=!Array.isArray(t);n&&(t=[t]);const r=this.processor.feature_extractor.config.sampling_rate,i=await Na(t,r),s=[];for(const t of i){const e=await this.processor(t),n=(await this.model(e)).logits[0],r=[];for(const t of n)r.push(H(t.data)[1]);const i=this.tokenizer.decode(r);s.push({text:i})}return n?s[0]:s}async _call_whisper(t,e={}){const n=e.return_timestamps??!1,r=e.chunk_length_s??0,i=e.chunk_callback??null,s=e.force_full_sequences??!1;let o=e.stride_length_s??null;"word"===n&&(e.return_token_timestamps=!0);const a=u(e,"language",null),l=u(e,"task",null);if(a||l||n){if(e.forced_decoder_ids)throw new Error("Cannot specify `language`/`task`/`return_timestamps` and `forced_decoder_ids` at the same time.");const t=this.tokenizer.get_decoder_prompt_ids({language:a,task:l,no_timestamps:!n});t.length>0&&(e.forced_decoder_ids=t)}const c=!Array.isArray(t);c&&(t=[t]);const d=this.processor.feature_extractor.config.chunk_length/this.model.config.max_source_positions,h=this.processor.feature_extractor.config.hop_length,p=this.processor.feature_extractor.config.sampling_rate,f=await Na(t,p),g=[];for(const t of f){let a=[];if(r>0){if(null===o)o=r/6;else if(r<=o)throw Error("`chunk_length_s` must be larger than `stride_length_s`.");const e=p*r,n=p*o,i=e-2*n;let s=0;for(;s<t.length;){const r=t.subarray(s,s+e),o=await this.processor(r),u=0===s,l=s+i>=t.length;a.push({stride:[r.length,u?0:n,l?0:n],input_features:o.input_features,is_last:l}),s+=i}}else a=[{stride:[t.length,0,0],input_features:(await this.processor(t)).input_features,is_last:!0}];for(const t of a){e.num_frames=Math.floor(t.stride[0]/h);const r=await this.model.generate(t.input_features,e);"word"===n?(t.tokens=r.sequences[0],t.token_timestamps=r.token_timestamps.tolist()[0].map((t=>Q(t,2)))):t.tokens=r[0],t.stride=t.stride.map((t=>t/p)),null!==i&&i(t)}const[u,l]=this.tokenizer._decode_asr(a,{time_precision:d,return_timestamps:n,force_full_sequences:s});g.push({text:u,...l})}return c?g[0]:g}},model:[class extends Ns{static MODEL_CLASS_MAPPINGS=[Bs]},class extends Ns{static MODEL_CLASS_MAPPINGS=[io]}],processor:Fa,default:{model:"Xenova/whisper-tiny.en"},type:"multimodal"},"text-to-audio":{tokenizer:hr,pipeline:class extends ja{DEFAULT_VOCODER_ID="Xenova/speecht5_hifigan";constructor(t){super(t),this.vocoder=t.vocoder??null}async _call(t,{speaker_embeddings:e=null}={}){return this.processor?this._call_text_to_spectrogram(t,{speaker_embeddings:e}):this._call_text_to_waveform(t)}async _call_text_to_waveform(t){const e=this.tokenizer(t,{padding:!0,truncation:!0}),{waveform:n}=await this.model(e),r=this.model.config.sampling_rate;return{audio:n.data,sampling_rate:r}}async _call_text_to_spectrogram(t,{speaker_embeddings:e}){if(this.vocoder||(console.log("No vocoder specified, using default HifiGan vocoder."),this.vocoder=await go.from_pretrained(this.DEFAULT_VOCODER_ID,{quantized:!1})),("string"==typeof e||e instanceof URL)&&(e=new Float32Array(await(await fetch(e)).arrayBuffer())),e instanceof Float32Array)e=new nt("float32",e,[1,e.length]);else if(!(e instanceof nt))throw new Error("Speaker embeddings must be a `Tensor`, `Float32Array`, `string`, or `URL`.");const{input_ids:n}=this.tokenizer(t,{padding:!0,truncation:!0}),{waveform:r}=await this.model.generate_speech(n,e,{vocoder:this.vocoder}),i=this.processor.feature_extractor.config.sampling_rate;return{audio:r.data,sampling_rate:i}}},model:[class extends Ns{static MODEL_CLASS_MAPPINGS=[Vs]},class extends Ns{static MODEL_CLASS_MAPPINGS=[Us]}],processor:[Fa,null],default:{model:"Xenova/speecht5_tts"},type:"text"},"image-to-text":{tokenizer:hr,pipeline:class extends ja{constructor(t){super(t)}async _call(t,e={}){const n=Array.isArray(t),r=await La(t),{pixel_values:i}=await this.processor(r),s=[];for(const t of i){t.dims=[1,...t.dims];const n=await this.model.generate(t,e),r=this.tokenizer.batch_decode(n,{skip_special_tokens:!0}).map((t=>({generated_text:t.trim()})));s.push(r)}return n?s:s[0]}},model:class extends Ns{static MODEL_CLASS_MAPPINGS=[Ks]},processor:Fa,default:{model:"Xenova/vit-gpt2-image-captioning"},type:"multimodal"},"image-classification":{pipeline:class extends ja{constructor(t){super(t)}async _call(t,{topk:e=1}={}){const n=Array.isArray(t),r=await La(t),{pixel_values:i}=await this.processor(r),s=await this.model({pixel_values:i}),o=this.model.config.id2label,a=[];for(const t of s.logits){const n=q(G(t.data),e).map((t=>({label:o[t[0]],score:t[1]})));1===e?a.push(...n):a.push(n)}return n||1===e?a:a[0]}},model:class extends Ns{static MODEL_CLASS_MAPPINGS=[Js]},processor:Fa,default:{model:"Xenova/vit-base-patch16-224"},type:"multimodal"},"image-segmentation":{pipeline:class extends ja{constructor(t){super(t),this.subtasks_mapping={panoptic:"post_process_panoptic_segmentation",instance:"post_process_instance_segmentation",semantic:"post_process_semantic_segmentation"}}async _call(t,{threshold:e=.5,mask_threshold:n=.5,overlap_mask_area_threshold:r=.8,label_ids_to_fuse:i=null,target_sizes:s=null,subtask:o=null}={}){if(Array.isArray(t)&&1!==t.length)throw Error("Image segmentation pipeline currently only supports a batch size of 1.");const a=await La(t),u=a.map((t=>[t.height,t.width])),{pixel_values:l,pixel_mask:c}=await this.processor(a),d=await this.model({pixel_values:l,pixel_mask:c});let h=null;if(null!==o)h=this.subtasks_mapping[o];else for(let[t,e]of Object.entries(this.subtasks_mapping))if(e in this.processor.feature_extractor){h=this.processor.feature_extractor[e].bind(this.processor.feature_extractor),o=t;break}const p=this.model.config.id2label,f=[];if("panoptic"===o||"instance"===o){const t=h(d,e,n,r,i,s??u)[0],o=t.segmentation;for(const e of t.segments_info){const t=new Uint8ClampedArray(o.data.length);for(let n=0;n<o.data.length;++n)o.data[n]===e.id&&(t[n]=255);const n=new Fo(t,o.dims[1],o.dims[0],1);f.push({score:e.score,label:p[e.label_id],mask:n})}}else{if("semantic"!==o)throw Error(`Subtask ${o} not supported.`);{const{segmentation:t,labels:e}=h(d,s??u)[0];for(const n of e){const e=new Uint8ClampedArray(t.data.length);for(let r=0;r<t.data.length;++r)t.data[r]===n&&(e[r]=255);const r=new Fo(e,t.dims[1],t.dims[0],1);f.push({score:null,label:p[n],mask:r})}}}return f}},model:[class extends Ns{static MODEL_CLASS_MAPPINGS=[eo]},class extends Ns{static MODEL_CLASS_MAPPINGS=[no]}],processor:Fa,default:{model:"Xenova/detr-resnet-50-panoptic"},type:"multimodal"},"zero-shot-image-classification":{tokenizer:hr,pipeline:class extends ja{constructor(t){super(t)}async _call(t,e,{hypothesis_template:n="This is a photo of {}"}={}){const r=Array.isArray(t),i=await La(t),s=e.map((t=>n.replace("{}",t))),o=this.tokenizer(s,{padding:"siglip"!==this.model.config.model_type||"max_length",truncation:!0}),{pixel_values:a}=await this.processor(i),u=await this.model({...o,pixel_values:a}),l="siglip"===this.model.config.model_type?t=>t.sigmoid().data:t=>G(t.data),c=[];for(const t of u.logits_per_image){const n=[...l(t)].map(((t,n)=>({score:t,label:e[n]})));n.sort(((t,e)=>e.score-t.score)),c.push(n)}return r?c:c[0]}},model:go,processor:Fa,default:{model:"Xenova/clip-vit-base-patch32"},type:"multimodal"},"object-detection":{pipeline:class extends ja{constructor(t){super(t)}async _call(t,{threshold:e=.9,percentage:n=!1}={}){const r=Array.isArray(t);if(r&&1!==t.length)throw Error("Object detection pipeline currently only supports a batch size of 1.");const i=await La(t),s=n?null:i.map((t=>[t.height,t.width])),{pixel_values:o,pixel_mask:a}=await this.processor(i),u=await this.model({pixel_values:o,pixel_mask:a}),l=this.processor.feature_extractor.post_process_object_detection(u,e,s),c=this.model.config.id2label,d=l.map((t=>t.boxes.map(((e,r)=>({score:t.scores[r],label:c[t.classes[r]],box:Ra(e,!n)})))));return r?d:d[0]}},model:class extends Ns{static MODEL_CLASS_MAPPINGS=[Qs]},processor:Fa,default:{model:"Xenova/detr-resnet-50"},type:"multimodal"},"zero-shot-object-detection":{tokenizer:hr,pipeline:class extends ja{constructor(t){super(t)}async _call(t,e,{threshold:n=.1,topk:r=null,percentage:i=!1}={}){const s=Array.isArray(t),o=await La(t),a=this.tokenizer(e,{padding:!0,truncation:!0}),u=await this.processor(o),l=[];for(let t=0;t<o.length;++t){const s=o[t],c=i?null:[[s.height,s.width]],d=u.pixel_values[t].unsqueeze_(0),h=await this.model({...a,pixel_values:d}),p=this.processor.feature_extractor.post_process_object_detection(h,n,c,!0)[0];let f=p.boxes.map(((t,n)=>({score:p.scores[n],label:e[p.classes[n]],box:Ra(t,!i)}))).sort(((t,e)=>e.score-t.score));null!==r&&(f=f.slice(0,r)),l.push(f)}return s?l:l[0]}},model:class extends Ns{static MODEL_CLASS_MAPPINGS=[to]},processor:Fa,default:{model:"Xenova/owlvit-base-patch32"},type:"multimodal"},"document-question-answering":{tokenizer:hr,pipeline:class extends ja{constructor(t){super(t)}async _call(t,e,n={}){const r=(await La(t))[0],{pixel_values:i}=await this.processor(r),s=`<s_docvqa><s_question>${e}</s_question><s_answer>`,o=this.tokenizer(s,{add_special_tokens:!1,padding:!0,truncation:!0}).input_ids,a=await this.model.generate(i,{...n,decoder_input_ids:o,max_length:this.model.config.decoder.max_position_embeddings}),u=this.tokenizer.batch_decode(a)[0].match(/<s_answer>(.*?)<\/s_answer>/);let l=null;return u&&u.length>=2&&(l=u[1].trim()),[{answer:l}]}},model:class extends Ns{static MODEL_CLASS_MAPPINGS=[Zs]},processor:Fa,default:{model:"Xenova/donut-base-finetuned-docvqa"},type:"multimodal"},"image-to-image":{pipeline:class extends ja{constructor(t){super(t)}async _call(t){const e=await La(t),n=await this.processor(e),r=await this.model(n),i=[];for(const t of r.reconstruction){const e=t.squeeze().clamp_(0,1).mul_(255).round_().to("uint8");i.push(Fo.fromTensor(e))}return i.length>1?i:i[0]}},model:class extends Ns{static MODEL_CLASS_MAPPINGS=[lo]},processor:Fa,default:{model:"Xenova/swin2SR-classical-sr-x2-64"},type:"image"},"depth-estimation":{pipeline:class extends ja{constructor(t){super(t)}async _call(t){const e=await La(t),n=await this.processor(e),{predicted_depth:r}=await this.model(n),i=[];for(let t=0;t<e.length;++t){const n=rt(r[t],e[t].size.reverse(),"bilinear",!1),s=n.mul_(255/H(n.data)[0]).to("uint8");i.push({predicted_depth:r[t],depth:Fo.fromTensor(s)})}return i.length>1?i:i[0]}},model:class extends Ns{static MODEL_CLASS_MAPPINGS=[co]},processor:Fa,default:{model:"Xenova/dpt-large"},type:"image"},"feature-extraction":{tokenizer:hr,pipeline:class extends ja{constructor(t){super(t)}async _call(t,{pooling:e="none",normalize:n=!1}={}){const r=this.tokenizer(t,{padding:!0,truncation:!0}),i=await this.model(r);let s=i.last_hidden_state??i.logits;if("none"===e);else if("mean"===e)s=function(t,e){let n=[t.dims[0],t.dims[2]],r=new t.data.constructor(n[0]*n[1]),[i,s,o]=t.dims,a=0;for(let n=0;n<i;++n){let i=n*o*s;for(let u=0;u<o;++u){let l=0,c=0,d=n*s,h=i+u;for(let n=0;n<s;++n){let r=Number(e.data[d+n]);c+=r,l+=t.data[h+n*o]*r}let p=l/c;r[a++]=p}}return new nt(t.type,r,n)}(s,r.attention_mask);else{if("cls"!==e)throw Error(`Pooling method '${e}' not supported.`);s=s.slice(null,0)}return n&&(s=s.normalize(2,-1)),s}},model:go,default:{model:"Xenova/all-MiniLM-L6-v2"},type:"text"},"image-feature-extraction":{processor:Fa,pipeline:class extends ja{constructor(t){super(t)}async _call(t,{pool:e=null}={}){const n=await La(t),{pixel_values:r}=await this.processor(n),i=await this.model({pixel_values:r});let s;if(e){if(!("pooler_output"in i))throw Error("No pooled output was returned. Make sure the model has a 'pooler' layer when using the 'pool' option.");s=i.pooler_output}else s=i.last_hidden_state??i.logits??i.image_embeds;return s}},model:[class extends Ns{static MODEL_CLASS_MAPPINGS=[ho]},go],default:{model:"Xenova/vit-base-patch16-224-in21k"},type:"image"}}),Object.freeze({"sentiment-analysis":"text-classification",ner:"token-classification",asr:"automatic-speech-recognition","text-to-speech":"text-to-audio",embeddings:"feature-extraction"})}}]);
\ No newline at end of file
diff --git a/g4f/gui/client/static/js/text_to_speech/index.js b/g4f/gui/client/static/js/text_to_speech/index.js
new file mode 100644
index 00000000..705d5618
--- /dev/null
+++ b/g4f/gui/client/static/js/text_to_speech/index.js
@@ -0,0 +1 @@
+(()=>{"use strict";var e={m:{},u:e=>e+".index.js"};e.g=function(){if("object"==typeof globalThis)return globalThis;try{return this||new Function("return this")()}catch(e){if("object"==typeof window)return window}}(),e.o=(e,c)=>Object.prototype.hasOwnProperty.call(e,c),(()=>{var c;e.g.importScripts&&(c=e.g.location+"");var t=e.g.document;if(!c&&t&&(t.currentScript&&(c=t.currentScript.src),!c)){var a=t.getElementsByTagName("script");if(a.length)for(var r=a.length-1;r>-1&&(!c||!/^http(s?):/.test(c));)c=a[r--].src}if(!c)throw new Error("Automatic publicPath is not supported in this browser");c=c.replace(/#.*$/,"").replace(/\?.*$/,"").replace(/\/[^\/]+$/,"/"),e.p=c})(),e.b=document.baseURI||self.location.href;const c={};c.current||(c.current=new Worker(new URL(e.p+e.u(630),e.b),{type:void 0})),window.doSpeech=!1,c.current.addEventListener("message",(e=>{switch(e.data.status){case"error":window.onSpeechResponse(null),window.doSpeech=!1;break;case"complete":const c=URL.createObjectURL(e.data.output);window.onSpeechResponse(c),window.doSpeech=!1}})),window.SPEAKERS={"US female 1":"cmu_us_slt_arctic-wav-arctic_a0001","US female 2":"cmu_us_clb_arctic-wav-arctic_a0001","US male 1":"cmu_us_bdl_arctic-wav-arctic_a0003","US male 2":"cmu_us_rms_arctic-wav-arctic_a0003","Canadian male":"cmu_us_jmk_arctic-wav-arctic_a0002","Scottish male":"cmu_us_awb_arctic-wav-arctic_b0002","Indian male":"cmu_us_ksp_arctic-wav-arctic_a0007"},window.handleGenerateSpeech=(e,t="cmu_us_slt_arctic-wav-arctic_a0001")=>{window.doSpeech=!0,c.current.postMessage({text:e,speaker_id:t})},window.onSpeechResponse=e=>console.log(e)})();
\ No newline at end of file
diff --git a/g4f/gui/server/api.py b/g4f/gui/server/api.py
index 7c09fdbe..2b3f2fb6 100644
--- a/g4f/gui/server/api.py
+++ b/g4f/gui/server/api.py
@@ -80,13 +80,12 @@ class Api():
         Returns:
             dict: Arguments prepared for chat completion.
         """ 
-        provider = json_data.get('provider', None)
-        if "image" in kwargs and provider is None:
-            provider = "Bing"
-        if provider == 'OpenaiChat':
-            kwargs['auto_continue'] = True
-
+        model = json_data.get('model') or models.default
+        provider = json_data.get('provider')
         messages = json_data['messages']
+        api_key = json_data.get("api_key")
+        if api_key is not None:
+            kwargs["api_key"] = api_key
         if json_data.get('web_search'):
             if provider == "Bing":
                 kwargs['web_search'] = True
@@ -98,8 +97,6 @@ class Api():
         if conversation_id and provider in conversations and conversation_id in conversations[provider]:
             kwargs["conversation"] = conversations[provider][conversation_id]
 
-        model = json_data.get('model') or models.default
-
         return {
             "model": model,
             "provider": provider,
diff --git a/g4f/gui/server/js_api.py b/g4f/gui/server/js_api.py
index e5550f27..08eed947 100644
--- a/g4f/gui/server/js_api.py
+++ b/g4f/gui/server/js_api.py
@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-import logging
 import json
 import os.path
 from typing import Iterator
diff --git a/g4f/gui/server/website.py b/g4f/gui/server/website.py
index 4e611177..5e633674 100644
--- a/g4f/gui/server/website.py
+++ b/g4f/gui/server/website.py
@@ -4,9 +4,11 @@ from flask import render_template, redirect
 class Website:
     def __init__(self, app) -> None:
         self.app = app
+        def redirect_home():
+            return redirect('/chat')
         self.routes = {
             '/': {
-                'function': lambda: redirect('/chat'),
+                'function': redirect_home,
                 'methods': ['GET', 'POST']
             },
             '/chat/': {
@@ -17,6 +19,14 @@ class Website:
                 'function': self._chat,
                 'methods': ['GET', 'POST']
             },
+            '/menu/': {
+                'function': redirect_home,
+                'methods': ['GET', 'POST']
+            },
+            '/settings/': {
+                'function': redirect_home,
+                'methods': ['GET', 'POST']
+            },
         }
 
     def _chat(self, conversation_id):
diff --git a/projects/android/buildozer.spec b/projects/android/buildozer.spec
new file mode 100644
index 00000000..2b67c28d
--- /dev/null
+++ b/projects/android/buildozer.spec
@@ -0,0 +1,455 @@
+[app]
+
+# (str) Title of your application
+title = g4f
+
+# (str) Package name
+package.name = g4a
+
+# (str) Package domain (needed for android/ios packaging)
+package.domain = org.g4f
+
+# (str) Source code where the main.py live
+source.dir = .
+
+# (list) Source files to include (let empty to include all the files)
+#source.include_exts = py,png,jpg,kv,atlas,html,css,js,png
+
+# (list) List of inclusions using pattern matching
+source.include_patterns = main.py
+
+# (list) Source files to exclude (let empty to not exclude anything)
+#source.exclude_exts = spec
+
+# (list) List of directory to exclude (let empty to not exclude anything)
+source.exclude_dirs = etc, docker, docs, .github
+
+# (list) List of exclusions using pattern matching
+# Do not prefix with './'
+#source.exclude_patterns = license,images/*/*.jpg
+
+# (str) Application versioning (method 1)
+version = 0.1
+
+# (str) Application versioning (method 2)
+# version.regex = __version__ = ['"](.*)['"]
+# version.filename = %(source.dir)s/main.py
+
+# (list) Application requirements
+# comma separated e.g. requirements = sqlite3,kivy
+requirements = python3==3.11.7,kivy==2.3.0,aiohttp==3.9.3,aiosignal==1.3.1,attrs==23.2.0,beautifulsoup4==4.12.3,certifi==2024.2.2,charset-normalizer==3.3.2,docutils==0.20.1,frozenlist==1.4.1,idna==3.6,multidict==6.0.5,requests==2.31.0,soupsieve==2.5,Unidecode==1.3.8,urllib3==2.2.0,yarl==1.9.4,pywebview,pillow,platformdirs,python-for-android,plyer,/home/heiner/gpt4free2/,proxy_tools,bottle,typing_extensions,cryptography,brotli,android
+
+# (str) Custom source folders for requirements
+# Sets custom source for any requirements with recipes
+# requirements.source.g4f = /home/.../gpt4free
+
+# (str) Presplash of the application
+#presplash.filename = %(source.dir)s/data/presplash.png
+
+# (str) Icon of the application
+icon.filename = %(source.dir)s/g4f/gui/client/static/img/android-chrome-512x512.png
+
+# (list) Supported orientations
+# Valid options are: landscape, portrait, portrait-reverse or landscape-reverse
+orientation = portrait
+
+# (list) List of service to declare
+#services = NAME:ENTRYPOINT_TO_PY,NAME2:ENTRYPOINT2_TO_PY
+
+#
+# OSX Specific
+#
+
+#
+# author = © Copyright Info
+
+# change the major version of python used by the app
+osx.python_version = 3
+
+# Kivy version to use
+osx.kivy_version = 1.9.1
+
+#
+# Android specific
+#
+
+# (bool) Indicate if the application should be fullscreen or not
+fullscreen = 0
+
+# (string) Presplash background color (for android toolchain)
+# Supported formats are: #RRGGBB #AARRGGBB or one of the following names:
+# red, blue, green, black, white, gray, cyan, magenta, yellow, lightgray,
+# darkgray, grey, lightgrey, darkgrey, aqua, fuchsia, lime, maroon, navy,
+# olive, purple, silver, teal.
+#android.presplash_color = #FFFFFF
+
+# (string) Presplash animation using Lottie format.
+# see https://lottiefiles.com/ for examples and https://airbnb.design/lottie/
+# for general documentation.
+# Lottie files can be created using various tools, like Adobe After Effect or Synfig.
+#android.presplash_lottie = "path/to/lottie/file.json"
+
+# (str) Adaptive icon of the application (used if Android API level is 26+ at runtime)
+#icon.adaptive_foreground.filename = %(source.dir)s/data/icon_fg.png
+#icon.adaptive_background.filename = %(source.dir)s/data/icon_bg.png
+
+# (list) Permissions
+# (See https://python-for-android.readthedocs.io/en/latest/buildoptions/#build-options-1 for all the supported syntaxes and properties)
+android.permissions = android.permission.INTERNET, android.permission.CAMERA, android.permission.WRITE_EXTERNAL_STORAGE, android.permission.READ_EXTERNAL_STORAGE
+
+# (list) features (adds uses-feature -tags to manifest)
+#android.features = android.hardware.usb.host
+
+# (int) Target Android API, should be as high as possible.
+android.api = 21
+#31
+
+# (int) Minimum API your APK / AAB will support.
+android.minapi = 21
+
+# (int) Android SDK version to use
+#android.sdk = 23
+# File path exposed error
+
+# (str) Android NDK version to use
+#android.ndk = 23b
+
+# (int) Android NDK API to use. This is the minimum API your app will support, it should usually match android.minapi.
+#android.ndk_api = 21
+
+# (bool) Use --private data storage (True) or --dir public storage (False)
+#android.private_storage = True
+
+# (str) Android NDK directory (if empty, it will be automatically downloaded.)
+#android.ndk_path =
+
+# (str) Android SDK directory (if empty, it will be automatically downloaded.)
+#android.sdk_path =
+
+# (str) ANT directory (if empty, it will be automatically downloaded.)
+#android.ant_path =
+
+# (bool) If True, then skip trying to update the Android sdk
+# This can be useful to avoid excess Internet downloads or save time
+# when an update is due and you just want to test/build your package
+# android.skip_update = False
+
+# (bool) If True, then automatically accept SDK license
+# agreements. This is intended for automation only. If set to False,
+# the default, you will be shown the license when first running
+# buildozer.
+# android.accept_sdk_license = False
+
+# (str) Android entry point, default is ok for Kivy-based app
+#android.entrypoint = org.kivy.android.PythonActivity
+
+# (str) Full name including package path of the Java class that implements Android Activity
+# use that parameter together with android.entrypoint to set custom Java class instead of PythonActivity
+#android.activity_class_name = org.kivy.android.PythonActivity
+
+# (str) Extra xml to write directly inside the <manifest> element of AndroidManifest.xml
+# use that parameter to provide a filename from where to load your custom XML code
+#android.extra_manifest_xml = ./src/android/extra_manifest.xml
+
+# (str) Extra xml to write directly inside the <manifest><application> tag of AndroidManifest.xml
+# use that parameter to provide a filename from where to load your custom XML arguments:
+#android.extra_manifest_application_arguments = ./src/android/extra_manifest_application_arguments.xml
+
+# (str) Full name including package path of the Java class that implements Python Service
+# use that parameter to set custom Java class which extends PythonService
+#android.service_class_name = org.kivy.android.PythonService
+
+# (str) Android app theme, default is ok for Kivy-based app
+# android.apptheme = "@android:style/Theme.NoTitleBar"
+
+# (list) Pattern to whitelist for the whole project
+#android.whitelist =
+
+# (str) Path to a custom whitelist file
+#android.whitelist_src =
+
+# (str) Path to a custom blacklist file
+#android.blacklist_src =
+
+# (list) List of Java .jar files to add to the libs so that pyjnius can access
+# their classes. Don't add jars that you do not need, since extra jars can slow
+# down the build process. Allows wildcards matching, for example:
+# OUYA-ODK/libs/*.jar
+android.add_jars = /home/heiner/.local/lib/python3.10/site-packages/webview/lib/pywebview-android.jar
+
+# (list) List of Java files to add to the android project (can be java or a
+# directory containing the files)
+#android.add_src =
+
+# (list) Android AAR archives to add
+#android.add_aars =
+
+# (list) Put these files or directories in the apk assets directory.
+# Either form may be used, and assets need not be in 'source.include_exts'.
+# 1) android.add_assets = source_asset_relative_path
+# 2) android.add_assets = source_asset_path:destination_asset_relative_path
+#android.add_assets =
+
+# (list) Put these files or directories in the apk res directory.
+# The option may be used in three ways, the value may contain one or zero ':'
+# Some examples:
+# 1) A file to add to resources, legal resource names contain ['a-z','0-9','_']
+# android.add_resources = my_icons/all-inclusive.png:drawable/all_inclusive.png
+# 2) A directory, here  'legal_icons' must contain resources of one kind
+# android.add_resources = legal_icons:drawable
+# 3) A directory, here 'legal_resources' must contain one or more directories, 
+# each of a resource kind:  drawable, xml, etc...
+# android.add_resources = legal_resources
+#android.add_resources =
+
+# (list) Gradle dependencies to add
+#android.gradle_dependencies =
+
+# (bool) Enable AndroidX support. Enable when 'android.gradle_dependencies'
+# contains an 'androidx' package, or any package from Kotlin source.
+# android.enable_androidx requires android.api >= 28
+#android.enable_androidx = True
+
+# (list) add java compile options
+# this can for example be necessary when importing certain java libraries using the 'android.gradle_dependencies' option
+# see https://developer.android.com/studio/write/java8-support for further information
+# android.add_compile_options = "sourceCompatibility = 1.8", "targetCompatibility = 1.8"
+
+# (list) Gradle repositories to add {can be necessary for some android.gradle_dependencies}
+# please enclose in double quotes 
+# e.g. android.gradle_repositories = "maven { url 'https://kotlin.bintray.com/ktor' }"
+#android.add_gradle_repositories =
+
+# (list) packaging options to add 
+# see https://google.github.io/android-gradle-dsl/current/com.android.build.gradle.internal.dsl.PackagingOptions.html
+# can be necessary to solve conflicts in gradle_dependencies
+# please enclose in double quotes 
+# e.g. android.add_packaging_options = "exclude 'META-INF/common.kotlin_module'", "exclude 'META-INF/*.kotlin_module'"
+#android.add_packaging_options =
+
+# (list) Java classes to add as activities to the manifest.
+#android.add_activities = com.example.ExampleActivity
+
+# (str) OUYA Console category. Should be one of GAME or APP
+# If you leave this blank, OUYA support will not be enabled
+#android.ouya.category = GAME
+
+# (str) Filename of OUYA Console icon. It must be a 732x412 png image.
+#android.ouya.icon.filename = %(source.dir)s/data/ouya_icon.png
+
+# (str) XML file to include as an intent filters in <activity> tag
+#android.manifest.intent_filters =
+
+# (list) Copy these files to src/main/res/xml/ (used for example with intent-filters)
+#android.res_xml = PATH_TO_FILE,
+
+# (str) launchMode to set for the main activity
+#android.manifest.launch_mode = standard
+
+# (str) screenOrientation to set for the main activity.
+# Valid values can be found at https://developer.android.com/guide/topics/manifest/activity-element
+#android.manifest.orientation = fullSensor
+
+# (list) Android additional libraries to copy into libs/armeabi
+#android.add_libs_armeabi = libs/android/*.so
+#android.add_libs_armeabi_v7a = libs/android-v7/*.so
+#android.add_libs_arm64_v8a = libs/android-v8/*.so
+#android.add_libs_x86 = libs/android-x86/*.so
+#android.add_libs_mips = libs/android-mips/*.so
+
+# (bool) Indicate whether the screen should stay on
+# Don't forget to add the WAKE_LOCK permission if you set this to True
+#android.wakelock = False
+
+# (list) Android application meta-data to set (key=value format)
+#android.meta_data =
+
+# (list) Android library project to add (will be added in the
+# project.properties automatically.)
+#android.library_references =
+
+# (list) Android shared libraries which will be added to AndroidManifest.xml using <uses-library> tag
+#android.uses_library =
+
+# (str) Android logcat filters to use
+#android.logcat_filters = *:S python:D
+
+# (bool) Android logcat only display log for activity's pid
+#android.logcat_pid_only = False
+
+# (str) Android additional adb arguments
+#android.adb_args = -H host.docker.internal
+
+# (bool) Copy library instead of making a libpymodules.so
+#android.copy_libs = 1
+
+# (list) The Android archs to build for, choices: armeabi-v7a, arm64-v8a, x86, x86_64
+# In past, was `android.arch` as we weren't supporting builds for multiple archs at the same time.
+android.archs = arm64-v8a
+#, armeabi-v7a
+
+# (int) overrides automatic versionCode computation (used in build.gradle)
+# this is not the same as app version and should only be edited if you know what you're doing
+# android.numeric_version = 1
+
+# (bool) enables Android auto backup feature (Android API >=23)
+android.allow_backup = True
+
+# (str) XML file for custom backup rules (see official auto backup documentation)
+# android.backup_rules =
+
+# (str) If you need to insert variables into your AndroidManifest.xml file,
+# you can do so with the manifestPlaceholders property.
+# This property takes a map of key-value pairs. (via a string)
+# Usage example : android.manifest_placeholders = [myCustomUrl:\"org.kivy.customurl\"]
+# android.manifest_placeholders = [:]
+
+# (bool) Skip byte compile for .py files
+# android.no-byte-compile-python = False
+
+# (str) The format used to package the app for release mode (aab or apk or aar).
+# android.release_artifact = aab
+
+# (str) The format used to package the app for debug mode (apk or aar).
+# android.debug_artifact = apk
+
+#
+# Python for android (p4a) specific
+#
+
+# (str) python-for-android URL to use for checkout
+#p4a.url =
+
+# (str) python-for-android fork to use in case if p4a.url is not specified, defaults to upstream (kivy)
+#p4a.fork = kivy
+
+# (str) python-for-android branch to use, defaults to master
+#p4a.branch = master
+
+# (str) python-for-android specific commit to use, defaults to HEAD, must be within p4a.branch
+#p4a.commit = HEAD
+
+# (str) python-for-android git clone directory (if empty, it will be automatically cloned from github)
+#p4a.source_dir =
+
+# (str) The directory in which python-for-android should look for your own build recipes (if any)
+#p4a.local_recipes =
+
+# (str) Filename to the hook for p4a
+#p4a.hook =
+
+# (str) Bootstrap to use for android builds
+# p4a.bootstrap = sdl2
+
+# (int) port number to specify an explicit --port= p4a argument (eg for bootstrap flask)
+#p4a.port =
+
+# Control passing the --use-setup-py vs --ignore-setup-py to p4a
+# "in the future" --use-setup-py is going to be the default behaviour in p4a, right now it is not
+# Setting this to false will pass --ignore-setup-py, true will pass --use-setup-py
+# NOTE: this is general setuptools integration, having pyproject.toml is enough, no need to generate
+# setup.py if you're using Poetry, but you need to add "toml" to source.include_exts.
+#p4a.setup_py = false
+
+# (str) extra command line arguments to pass when invoking pythonforandroid.toolchain
+#p4a.extra_args =
+
+
+
+#
+# iOS specific
+#
+
+# (str) Path to a custom kivy-ios folder
+#ios.kivy_ios_dir = ../kivy-ios
+# Alternately, specify the URL and branch of a git checkout:
+ios.kivy_ios_url = https://github.com/kivy/kivy-ios
+ios.kivy_ios_branch = master
+
+# Another platform dependency: ios-deploy
+# Uncomment to use a custom checkout
+#ios.ios_deploy_dir = ../ios_deploy
+# Or specify URL and branch
+ios.ios_deploy_url = https://github.com/phonegap/ios-deploy
+ios.ios_deploy_branch = 1.10.0
+
+# (bool) Whether or not to sign the code
+ios.codesign.allowed = false
+
+# (str) Name of the certificate to use for signing the debug version
+# Get a list of available identities: buildozer ios list_identities
+#ios.codesign.debug = "iPhone Developer: <lastname> <firstname> (<hexstring>)"
+
+# (str) The development team to use for signing the debug version
+#ios.codesign.development_team.debug = <hexstring>
+
+# (str) Name of the certificate to use for signing the release version
+#ios.codesign.release = %(ios.codesign.debug)s
+
+# (str) The development team to use for signing the release version
+#ios.codesign.development_team.release = <hexstring>
+
+# (str) URL pointing to .ipa file to be installed
+# This option should be defined along with `display_image_url` and `full_size_image_url` options.
+#ios.manifest.app_url =
+
+# (str) URL pointing to an icon (57x57px) to be displayed during download
+# This option should be defined along with `app_url` and `full_size_image_url` options.
+#ios.manifest.display_image_url =
+
+# (str) URL pointing to a large icon (512x512px) to be used by iTunes
+# This option should be defined along with `app_url` and `display_image_url` options.
+#ios.manifest.full_size_image_url =
+
+
+[buildozer]
+
+# (int) Log level (0 = error only, 1 = info, 2 = debug (with command output))
+log_level = 2
+
+# (int) Display warning if buildozer is run as root (0 = False, 1 = True)
+warn_on_root = 1
+
+# (str) Path to build artifact storage, absolute or relative to spec file
+# build_dir = ./.buildozer
+
+# (str) Path to build output (i.e. .apk, .aab, .ipa) storage
+# bin_dir = ./bin
+
+#    -----------------------------------------------------------------------------
+#    List as sections
+#
+#    You can define all the "list" as [section:key].
+#    Each line will be considered as a option to the list.
+#    Let's take [app] / source.exclude_patterns.
+#    Instead of doing:
+#
+#[app]
+#source.exclude_patterns = license,data/audio/*.wav,data/images/original/*
+#
+#    This can be translated into:
+#
+#[app:source.exclude_patterns]
+#license
+#data/audio/*.wav
+#data/images/original/*
+#
+
+
+#    -----------------------------------------------------------------------------
+#    Profiles
+#
+#    You can extend section / key with a profile
+#    For example, you want to deploy a demo version of your application without
+#    HD content. You could first change the title to add "(demo)" in the name
+#    and extend the excluded directories to remove the HD content.
+#
+#[app@demo]
+#title = My Application (demo)
+#
+#[app:source.exclude_patterns@demo]
+#images/hd/*
+#
+#    Then, invoke the command line with the "demo" profile:
+#
+#buildozer --profile demo android debug
diff --git a/projects/text_to_speech/README.md b/projects/text_to_speech/README.md
new file mode 100644
index 00000000..c1d401ac
--- /dev/null
+++ b/projects/text_to_speech/README.md
@@ -0,0 +1,3 @@
+Fork from:
+
+https://github.com/xenova/transformers.js/tree/main/examples/text-to-speech-client
\ No newline at end of file
diff --git a/projects/text_to_speech/constants.js b/projects/text_to_speech/constants.js
new file mode 100644
index 00000000..23362616
--- /dev/null
+++ b/projects/text_to_speech/constants.js
@@ -0,0 +1,11 @@
+export const SPEAKERS = {
+    "US female 1": "cmu_us_slt_arctic-wav-arctic_a0001",
+    "US female 2": "cmu_us_clb_arctic-wav-arctic_a0001",
+    "US male 1": "cmu_us_bdl_arctic-wav-arctic_a0003",
+    "US male 2": "cmu_us_rms_arctic-wav-arctic_a0003",
+    "Canadian male": "cmu_us_jmk_arctic-wav-arctic_a0002",
+    "Scottish male": "cmu_us_awb_arctic-wav-arctic_b0002",
+    "Indian male": "cmu_us_ksp_arctic-wav-arctic_a0007",
+}
+
+export const DEFAULT_SPEAKER = "cmu_us_slt_arctic-wav-arctic_a0001";
\ No newline at end of file
diff --git a/projects/text_to_speech/index.js b/projects/text_to_speech/index.js
new file mode 100644
index 00000000..63059a8d
--- /dev/null
+++ b/projects/text_to_speech/index.js
@@ -0,0 +1,38 @@
+const worker = {}
+if (!worker.current) {
+    // Create the worker if it does not yet exist.
+    worker.current = new Worker(new URL('./worker.js', import.meta.url), {
+        type: 'module'
+    });
+}
+
+window.doSpeech = false;
+
+const onMessageReceived = (e) => {
+    switch (e.data.status) {
+        case 'error':
+            window.onSpeechResponse(null); 
+            window.doSpeech = false;
+        break;
+        case 'complete':
+            const blobUrl = URL.createObjectURL(e.data.output);
+            window.onSpeechResponse(blobUrl); 
+            window.doSpeech = false;
+        break;
+    }
+};
+worker.current.addEventListener('message', onMessageReceived);
+
+import { DEFAULT_SPEAKER, SPEAKERS } from './constants';
+
+const handleGenerateSpeech = (text, speaker_id=DEFAULT_SPEAKER) => {
+    window.doSpeech = true;
+    worker.current.postMessage({
+        text,
+        speaker_id: speaker_id,
+    });
+};
+
+window.SPEAKERS = SPEAKERS;
+window.handleGenerateSpeech = handleGenerateSpeech;
+window.onSpeechResponse = (url) => console.log(url);
\ No newline at end of file
diff --git a/projects/text_to_speech/package-lock.json b/projects/text_to_speech/package-lock.json
new file mode 100644
index 00000000..a674f737
--- /dev/null
+++ b/projects/text_to_speech/package-lock.json
@@ -0,0 +1,3574 @@
+{
+  "name": "text_to_speech",
+  "lockfileVersion": 2,
+  "requires": true,
+  "packages": {
+    "": {
+      "bundleDependencies": [
+        "@xenova/transformers"
+      ],
+      "dependencies": {
+        "@xenova/transformers": "^2.16.1",
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+        "webpack-node-externals": "^3.0.0"
+      },
+      "devDependencies": {
+        "pack": "^2.2.0",
+        "web": "^0.0.2",
+        "webpack-cli": "^5.1.4"
+      }
+    },
+    "node_modules/@discoveryjs/json-ext": {
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+      "engines": {
+        "node": ">=10.0.0"
+      }
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+    "node_modules/@huggingface/jinja": {
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diff --git a/projects/text_to_speech/package.json b/projects/text_to_speech/package.json
new file mode 100644
index 00000000..a5da57df
--- /dev/null
+++ b/projects/text_to_speech/package.json
@@ -0,0 +1,19 @@
+{
+  "main": "index.js",
+  "dependencies": {
+    "@xenova/transformers": "^2.16.1",
+    "webpack": "^5.91.0",
+    "webpack-node-externals": "^3.0.0"
+  },
+  "bundledDependencies": [
+    "@xenova/transformers"
+  ],
+  "devDependencies": {
+    "pack": "^2.2.0",
+    "web": "^0.0.2",
+    "webpack-cli": "^5.1.4"
+  },
+  "bundleDependencies": [
+    "@xenova/transformers"
+  ]
+}
diff --git a/projects/text_to_speech/utils.js b/projects/text_to_speech/utils.js
new file mode 100644
index 00000000..4f53dea8
--- /dev/null
+++ b/projects/text_to_speech/utils.js
@@ -0,0 +1,47 @@
+// Adapted from https://www.npmjs.com/package/audiobuffer-to-wav
+
+export function encodeWAV(samples) {
+    let offset = 44;
+    const buffer = new ArrayBuffer(offset + samples.length * 4);
+    const view = new DataView(buffer);
+    const sampleRate = 16000;
+
+    /* RIFF identifier */
+    writeString(view, 0, 'RIFF')
+    /* RIFF chunk length */
+    view.setUint32(4, 36 + samples.length * 4, true)
+    /* RIFF type */
+    writeString(view, 8, 'WAVE')
+    /* format chunk identifier */
+    writeString(view, 12, 'fmt ')
+    /* format chunk length */
+    view.setUint32(16, 16, true)
+    /* sample format (raw) */
+    view.setUint16(20, 3, true)
+    /* channel count */
+    view.setUint16(22, 1, true)
+    /* sample rate */
+    view.setUint32(24, sampleRate, true)
+    /* byte rate (sample rate * block align) */
+    view.setUint32(28, sampleRate * 4, true)
+    /* block align (channel count * bytes per sample) */
+    view.setUint16(32, 4, true)
+    /* bits per sample */
+    view.setUint16(34, 32, true)
+    /* data chunk identifier */
+    writeString(view, 36, 'data')
+    /* data chunk length */
+    view.setUint32(40, samples.length * 4, true)
+
+    for (let i = 0; i < samples.length; ++i, offset += 4) {
+        view.setFloat32(offset, samples[i], true)
+    }
+
+    return buffer
+}
+
+function writeString(view, offset, string) {
+    for (let i = 0; i < string.length; ++i) {
+        view.setUint8(offset + i, string.charCodeAt(i))
+    }
+}
\ No newline at end of file
diff --git a/projects/text_to_speech/webpack.config.js b/projects/text_to_speech/webpack.config.js
new file mode 100644
index 00000000..0b984592
--- /dev/null
+++ b/projects/text_to_speech/webpack.config.js
@@ -0,0 +1,20 @@
+const path = require('path');
+const webpack = require('webpack');
+
+module.exports = {
+    mode: 'production',
+    entry: {
+        server: './index.js',
+    },
+    output: {
+        path: path.join(__dirname, 'build'),
+        filename: 'index.js'
+    },
+    module: {
+        rules: [
+            {
+                exclude: /node_modules/
+            }
+        ]
+    }
+};
\ No newline at end of file
diff --git a/projects/text_to_speech/worker.js b/projects/text_to_speech/worker.js
new file mode 100644
index 00000000..249208d0
--- /dev/null
+++ b/projects/text_to_speech/worker.js
@@ -0,0 +1,105 @@
+import { env, Tensor, AutoTokenizer, SpeechT5ForTextToSpeech, SpeechT5HifiGan } from '@xenova/transformers';
+import { encodeWAV } from './utils';
+
+// Disable local model checks
+env.allowLocalModels = false;
+
+// Use the Singleton pattern to enable lazy construction of the pipeline.
+class MyTextToSpeechPipeline {
+
+    static BASE_URL = 'https://huggingface.co/datasets/Xenova/cmu-arctic-xvectors-extracted/resolve/main/';
+
+    static model_id = 'Xenova/speecht5_tts';
+    static vocoder_id = 'Xenova/speecht5_hifigan';
+
+    static tokenizer_instance = null;
+    static model_instance = null;
+    static vocoder_instance = null;
+
+    static async getInstance(progress_callback = null) {
+        if (this.tokenizer_instance === null) {
+            this.tokenizer = AutoTokenizer.from_pretrained(this.model_id, { progress_callback });
+        }
+
+        if (this.model_instance === null) {
+            this.model_instance = SpeechT5ForTextToSpeech.from_pretrained(this.model_id, {
+                quantized: false,
+                progress_callback,
+            });
+        }
+
+        if (this.vocoder_instance === null) {
+            this.vocoder_instance = SpeechT5HifiGan.from_pretrained(this.vocoder_id, {
+                quantized: false,
+                progress_callback,
+            });
+        }
+
+        return new Promise(async (resolve, reject) => {
+            const result = await Promise.all([
+                this.tokenizer,
+                this.model_instance,
+                this.vocoder_instance,
+            ]);
+            self.postMessage({
+                status: 'ready',
+            });
+            resolve(result);
+        });
+    }
+
+    static async getSpeakerEmbeddings(speaker_id) {
+        // e.g., `cmu_us_awb_arctic-wav-arctic_a0001`
+        const speaker_embeddings_url = `${this.BASE_URL}${speaker_id}.bin`;
+        const speaker_embeddings = new Tensor(
+            'float32',
+            new Float32Array(await (await fetch(speaker_embeddings_url)).arrayBuffer()),
+            [1, 512]
+        )
+        return speaker_embeddings;
+    }
+}
+
+// Mapping of cached speaker embeddings
+const speaker_embeddings_cache = new Map();
+
+// Listen for messages from the main thread
+self.addEventListener('message', async (event) => {
+    // Load the pipeline
+    const [tokenizer, model, vocoder] = await MyTextToSpeechPipeline.getInstance(x => {
+        // We also add a progress callback so that we can track model loading.
+        self.postMessage(x);
+    });
+
+    // Tokenize the input
+    const { input_ids } = tokenizer(event.data.text);
+
+    // Load the speaker embeddings
+    let speaker_embeddings = speaker_embeddings_cache.get(event.data.speaker_id);
+    if (speaker_embeddings === undefined) {
+        speaker_embeddings = await MyTextToSpeechPipeline.getSpeakerEmbeddings(event.data.speaker_id);
+        speaker_embeddings_cache.set(event.data.speaker_id, speaker_embeddings);
+    }
+
+    // Generate the waveform
+    let response;
+    try {
+        response = await model.generate_speech(input_ids, speaker_embeddings, { vocoder });
+    } catch(e) {
+        self.postMessage({
+            status: 'error',
+            exception: e,
+        });
+        throw e;
+    }
+    const { waveform } = response;
+
+    // Encode the waveform as a WAV file
+    const wav = encodeWAV(waveform.data);
+
+    // Send the output back to the main thread
+    self.postMessage({
+        status: 'complete',
+        output: new Blob([wav], { type: 'audio/wav' }),
+    });
+});
\ No newline at end of file
diff --git a/projects/windows/copy.sh b/projects/windows/copy.sh
new file mode 100755
index 00000000..58faadd5
--- /dev/null
+++ b/projects/windows/copy.sh
@@ -0,0 +1,5 @@
+cp -r * /var/win/shared/
+cp -r windows/* /var/win/shared/
+cp setup.py /var/win/shared/
+cp README.md /var/win/shared/
+#git clone https://github.com/pyinstaller/pyinstaller/ /var/win/shared/pyinstaller 
\ No newline at end of file
diff --git a/windows/docker-compose.yml b/projects/windows/docker-compose.yml
index 1aa59caf..1aa59caf 100644
--- a/windows/docker-compose.yml
+++ b/projects/windows/docker-compose.yml
diff --git a/windows/icon.ico b/projects/windows/icon.ico
index 56ee955e..56ee955e 100644
--- a/windows/icon.ico
+++ b/projects/windows/icon.ico
diff --git a/windows/main.py b/projects/windows/main.py
index 11a3f902..11a3f902 100644
--- a/windows/main.py
+++ b/projects/windows/main.py
diff --git a/windows/main.spec b/projects/windows/main.spec
index 9dd1d098..35f6d3ac 100644
--- a/windows/main.spec
+++ b/projects/windows/main.spec
@@ -1,9 +1,6 @@
 # -*- mode: python ; coding: utf-8 -*-
 
 
-block_cipher = None
-
-
 a = Analysis(
     ['main.py'],
     pathex=[],
@@ -14,29 +11,21 @@ a = Analysis(
     hooksconfig={},
     runtime_hooks=[],
     excludes=[],
-    win_no_prefer_redirects=False,
-    win_private_assemblies=False,
-    cipher=block_cipher,
     noarchive=False,
 )
-pyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher)
+pyz = PYZ(a.pure)
 
 exe = EXE(
     pyz,
     a.scripts,
-    a.binaries,
-    Tree('C:/Users/Docker/AppData/Local/Packages/PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0/LocalCache/local-packages/Python311/site-packages/g4f/gui/client', prefix='client'),
-    a.zipfiles,
-    a.datas,
     [],
+    exclude_binaries=True,
     name='g4f',
     debug=False,
     bootloader_ignore_signals=False,
     strip=False,
     upx=True,
-    upx_exclude=[],
-    runtime_tmpdir=None,
-    console=False,
+    console=True,
     disable_windowed_traceback=False,
     argv_emulation=False,
     target_arch=None,
@@ -44,3 +33,13 @@ exe = EXE(
     entitlements_file=None,
     icon='icon.ico',
 )
+coll = COLLECT(
+    exe,
+    a.binaries,
+    Tree('//host.lan/Data/g4f/gui/client', prefix='client'),
+    a.datas,
+    strip=False,
+    upx=True,
+    upx_exclude=[],
+    name='g4f',
+)
\ No newline at end of file