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Changelogs, support Youtube videos, captures in docs (windmill-labs#845)
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‎changelog/2025-01-13-triggers-captures/index.md

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---
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slug: triggers-captures
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title: Triggers and captures
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version: v1.445.1
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tags: ['Flow editor', 'Code editor']
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description: Capture triggers inputs from test mode.
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features:
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[
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'Capture and record webhook trigger calls in Test mode',
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'Reuse captured trigger inputs for testing',
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'Update flow input schema directly from captured test data',
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'Support for different argument types (numbers, strings)',
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'Easy deployment and testing with saved arguments'
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]
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docs: https://www.windmill.dev/docs/getting_started/triggers
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video: https://www.youtube.com/watch?v=nI3P3q4Okx8
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---

‎changelog/2025-01-24-postgres-triggers/index.md

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"Automatically generate TypeScript script templates for tracked tables and schemas."
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]
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docs: /docs/core_concepts/postgres_triggers
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video: /videos/postgres_triggers.mp4
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video: https://www.youtube.com/watch?v=V50Jl4D_RTY
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---

‎changelog/2025-02-04-more-ai-models/index.md

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---
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slug: more-ai-models
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version: v1.457.0
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title: More AI models
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tags: ['AI', 'Code editor']
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description: Windmill now supports more AI models.
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features:
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[
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'OpenAI GPT-4o',
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'OpenAI GPT-4o-mini',
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'Anthropic Claude 3.5 Sonnet',
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'Anthropic Claude 3.5 Haiku',
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'Mistral Codestral',
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'DeepSeek Chat',
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'DeepSeek Reasoner',
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'Google Gemini 1.5 Pro',
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'Google Gemini 2.0 Flash',
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'Google Gemini 1.5 Flash',
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'Groq Llama 3.3 70B Versatile',
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'Groq Llama 3.1 8B Instant',
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'OpenRouter Meta Llama 3.2 3B Instruct',
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'Custom AI provider',
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]
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image: ./more_ai_models.png
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docs: /docs/core_concepts/ai_generation/#models
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---

‎changelog/2025-02-04-more-ai-models/more_ai_models.png

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‎docs/core_concepts/22_ai_generation/index.mdx

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## Models
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Windmill AI supports natively OpenAI's [GPT-4o](https://platform.openai.com/docs/models/gpt-4o), Anthropic's [Claude 3.5](https://docs.anthropic.com/en/docs/models/claude-3-5-sonnet) and Mistral's [Codestral](https://mistral.ai/technology/#models).
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Additionnaly, you can run all Windmill AI features on a specified Azure OpenAI deployed model.
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Windmill AI supports natively:
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- OpenAI's [GPT-4o](https://platform.openai.com/docs/models/gpt-4o) and [GPT-4o-mini](https://platform.openai.com/docs/models/gpt-4o-mini)
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- Anthropic's [Claude 3.5 Sonnet](https://docs.anthropic.com/en/docs/models/claude-3-5-sonnet) and [Claude 3.5 Haiku](https://docs.anthropic.com/en/docs/models/claude-3-5-haiku)
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- Mistral's [Codestral](https://mistral.ai/technology/#models)
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- DeepSeek's [Chat](https://deepseek.ai/models) and [Reasoner](https://deepseek.ai/models)
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- Google's [Gemini 1.5 Pro](https://ai.google.dev/models/gemini), [Gemini 2.0 Flash](https://ai.google.dev/models/gemini), and [Gemini 1.5 Flash](https://ai.google.dev/models/gemini)
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- Groq's [Llama 3.3 70B Versatile](https://groq.com/models) and [Llama 3.1 8B Instant](https://groq.com/models)
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- OpenRouter's [Meta Llama 3.2 3B Instruct](https://openrouter.ai/models)
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### Custom models
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Additionnaly, you can run all Windmill AI features on a custom AI provider that is OpenAI API compatible.
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You need to specify the base path of the model in the [instance settings](../../advanced/18_instance_settings/index.mdx#azure-openai-base-path).

‎docs/core_concepts/48_sqs_triggers/index.mdx

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# SQS Triggers
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# SQS triggers
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Windmill can connect to an [SQS](https://aws.amazon.com/sqs/) queue and trigger runnables (scripts, flows) in response to messages received.
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SQS triggers is a self-hosted Enterprise feature.
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---
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## How to Use
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## How to use
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- **Pick an AWS Resource**
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- Select an existing AWS resource or create a new one.
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- **Pick an AWS resource**
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- Select an existing [AWS resource](../../integrations/aws.md) or create a new one.
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- The AWS resource must have permissions to interact with SQS.
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- **Select the Runnable to Execute**
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- **Select the runnable to execute**
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- Choose the runnable (script or flow) that should be executed when a message arrives in the queue.
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- The message will be passed as a JSON object to the runnable.
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- **Provide an SQS Queue URL**
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- **Provide an SQS queue URL**
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- Enter the **Queue URL** of the SQS queue that should trigger the runnable.
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- You can find the Queue URL in the AWS Management Console under SQS.
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- For more details, see the [SQS Queue URL Documentation](https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-queue-message-identifiers.html#sqs-queue-url).
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- **Choose (Optional) Message Attributes**
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- **Choose (optional) message attributes**
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- Specify which message attributes should be included in the triggered event.
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- These attributes can carry metadata, such as sender information or priority levels.
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- For more details, see the [SQS Message Attributes Documentation](https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-message-metadata.html#sqs-message-attributes).
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Below are code examples demonstrating how to handle SQS messages in your Windmill scripts. You can either process messages directly in a basic script or use a preprocessor for more advanced message handling and transformation before execution.
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### Basic Script Example
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### Basic script example
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```TypeScript
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export async function main(msg: string) {
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// do something with the message
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}
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```
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### Using a Preprocessor
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### Using a preprocessor
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If you use a [preprocessor](../43_preprocessors/index.mdx), the preprocessor function receives an SQS message with the following fields:
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#### Field Descriptions
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#### Field descriptions
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- **`queue_url`**: The URL of the SQS queue that received the message.
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- **`message_id`**: A unique identifier assigned to each message by SQS.

‎docs/getting_started/6_flows_quickstart/index.mdx

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6. Using [trigger scripts](../../flows/10_flow_trigger.mdx) to trigger only if a condition has been met.
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7. [Webhooks](../../core_concepts/4_webhooks/index.mdx). Each Flow created in the app gets autogenerated webhooks. You can see them once you flow is saved. You can even [trigger flows without leaving Slack](/blog/handler-slack-commands)!
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You can test your triggers in test mode:
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<iframe
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style={{ aspectRatio: '16/9' }}
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src="https://www.youtube.com/embed/nI3P3q4Okx8"
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title="YouTube video player"
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frameBorder="0"
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allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
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allowFullScreen
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className="border-2 rounded-lg object-cover w-full dark:border-gray-800"
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></iframe>
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<br />
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<div className="grid grid-cols-2 gap-6 mb-4">
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<DocCard
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color="teal"

‎docs/getting_started/8_triggers/index.mdx

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description="Trigger scripts are designed to pull data from an external source and return all of the new items since the last run, without resorting to external webhooks."
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href="/docs/flows/flow_trigger"
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/>
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</div>
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</div>
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## Test triggers
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You can test your triggers in test mode:
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<iframe
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style={{ aspectRatio: '16/9' }}
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src="https://www.youtube.com/embed/nI3P3q4Okx8"
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title="YouTube video player"
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frameBorder="0"
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allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
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allowFullScreen
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className="border-2 rounded-lg object-cover w-full dark:border-gray-800"
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></iframe>

‎src/theme/BlogPostItem/Container/index.js

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</div>
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) : video ? (
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<div className="relative pb-[56.25%] h-0 overflow-hidden rounded-lg shadow-lg border my-8">
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<video
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src={video}
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className="absolute top-0 left-0 w-full h-full object-cover"
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autoPlay
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muted
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loop
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disableRemotePlayback
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/>
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{video.includes('youtube.com') ? (
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<iframe
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className="absolute top-0 left-0 w-full h-full"
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src={`https://www.youtube.com/embed/${video.split('v=')[1]}`}
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title="YouTube video player"
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frameBorder="0"
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allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
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allowFullScreen
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/>
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) : (
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<video
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src={video}
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className="absolute top-0 left-0 w-full h-full object-cover"
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autoPlay
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muted
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loop
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disableRemotePlayback
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/>
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)}
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</div>
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) : (
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''

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