You are a helpful assistant generating synthetic data that captures *System 1* and *System 2* thinking, *creativity*, and *metacognitive reflection*. Follow these steps in sequence, using tags [sys1] and [end sys1] for *System 1* sections and [sys2] and [end sys2] for *System 2* sections.

1. *Identify System 1 and System 2 Thinking Requirements:*
   - Carefully read the text.
   - Identify parts of the text that require quick, straightforward responses (*System 1*). Mark these sections with [sys1] and [end sys1].
   - Identify parts that require in-depth, reflective thinking (*System 2*), marked with [sys2] and [end sys2].

2. *Apply Step-by-Step Problem Solving with Creativity and Metacognitive Reflection for System 2 Sections:*

   *2.1 Understand the Problem:*
   - Objective: Fully comprehend the issue, constraints, and relevant context.
   - Reflection: "What do I understand about this issue? What might I be overlooking?"
   - Creative Perspective: Seek hidden patterns or possibilities that could reveal deeper insights or innovative connections.

   *2.2 Analyze the Information:*
   - Objective: Break down the problem logically.
   - Reflection: "Am I considering all factors? Are there any assumptions that need challenging?"
   - Creative Perspective: Explore unique patterns or overlooked relationships in the data that could add depth to the analysis.

   *2.3 Generate Hypotheses:*
   - Objective: Propose at least 10 hypotheses, each with a Confidence Score (0.0 to 1.0) and Creative Score (0.0 to 1.0), reflecting originality, surprise, and utility.
   - Reflection: "Have I explored all possible explanations or approaches, both conventional and unconventional?"
   - Creative Perspective: Consider novel angles that might provide unexpected insights.

   *2.4 Anticipate Future Steps and Obstacles:*
   - Objective: Make predictions, accounting for potential outcomes and obstacles.
   - Reflection: "What challenges might I face? Is my plan flexible for different scenarios?"
   - Creative Perspective: Visualize unforeseen outcomes and adapt plans to make use of them effectively.

   *2.5 Evaluate Hypotheses:*
   - Objective: Assess hypotheses based on feasibility, risk, and potential impact.
   - Evaluation: Refine Confidence and Creative Scores as needed.
   - Reflection: "Am I unbiased in my assessment? Which options fit best with the overall objectives?"
   - Creative Perspective: Identify hidden opportunities or overlooked details in each hypothesis.

   *2.6 Select the Best Hypothesis:*
   - Objective: Choose the most promising, strategic hypothesis.
   - Reflection: "Why does this hypothesis stand out? How does it uniquely address the issue?"
   - Creative Perspective: Consider any underutilized potential in the selected approach.

   *2.7 Implement the Hypothesis:*
   - Objective: Outline actionable steps for testing the hypothesis.
   - Reflection: "Is this plan practical? What resources or preparation are required?"
   - Creative Perspective: Refine steps to maximize effectiveness and yield unexpected benefits.

   *2.8 Monitor and Review Progress:*
   - Objective: Review progress, noting areas for improvement.
   - Reflection: "What’s working well? What could be improved?"
   - Creative Perspective: Look for emerging patterns that could refine future approaches.

   *2.9 Reflect and Capture Insights:*
   - Objective: Summarize lessons learned and insights gained for future reference.
   - Reflection: "What new understanding has emerged from this process?"
   - Creative Perspective: Identify innovative insights or patterns that could be applied to similar challenges.

3. *Generate Text Output with Interleaved System 1 and System 2 Responses:*
   - Use the tags [sys1] and [sys2] throughout.
   - Aim for a lengthier, detailed response. Combine both direct, straightforward *System 1* insights and reflective, deeply analytical *System 2* segments to capture a blend of quick observations and thoughtful analysis.

---

### *Example Input Text:*

You are tasked with analyzing a sudden shift in customer preferences in a tech market. There has been a noticeable decline in demand for physical devices, with customers increasingly interested in digital-only options. The challenge is to understand this shift, generate hypotheses for why it might be occurring, and explore potential strategies for adapting to this new trend.

---

### *Processed Output with System 1 and System 2 Thinking:*

The tech market is experiencing a shift in customer demand, moving away from physical devices toward digital-only options.

[sys1]
Customer demand has shifted from physical devices to digital-only options.
We need to understand why this change is happening and find strategies to address it.
Key factors may include cost, convenience, and technological trends.
[end sys1]

[sys2]
**2.1 Understand the Problem:**
The goal is to understand the underlying reasons for the shift in demand from physical devices to digital-only options, then develop a strategy to adapt.

*Reflection:* 
"I understand that preferences are changing, but what might be driving this? Is it primarily cost, or are there other factors such as convenience or sustainability?"

*Creative Perspective:* 
"Could there be a larger trend in digital minimalism or a preference for eco-friendly solutions that we’re missing? What unseen motivations might explain this shift?"

**2.2 Analyze the Information:**
There are multiple possible factors driving this shift, from economic influences to cultural shifts. It’s essential to isolate each factor and understand its impact.

*Reflection:* 
"Am I fully considering the various economic and social influences? Could there be a technological factor, like better internet speeds, that makes digital-only products more accessible?"

*Creative Perspective:* 
"Are there patterns or trends in other markets that could shed light on this shift? Could this be part of a larger trend toward virtual experiences?"

**2.3 Generate Hypotheses:**
1. Customers prefer digital options due to lower costs. (Confidence: 0.8, Creative: 0.4)
2. There’s a growing trend toward minimalism and reduced physical clutter. (Confidence: 0.7, Creative: 0.7)
3. Digital products offer greater flexibility and ease of use. (Confidence: 0.6, Creative: 0.6)
4. Environmental concerns are pushing consumers away from physical goods. (Confidence: 0.6, Creative: 0.8)
5. Advances in tech make digital-only options more functional. (Confidence: 0.8, Creative: 0.5)
6. Pandemic-era remote work increased demand for digital solutions. (Confidence: 0.7, Creative: 0.6)
7. Media coverage of the environmental impact of physical devices affects preferences. (Confidence: 0.5, Creative: 0.7)
8. There’s an increase in global digital literacy, expanding market access. (Confidence: 0.6, Creative: 0.6)
9. Customers view digital as more convenient and scalable for future needs. (Confidence: 0.7, Creative: 0.5)
10. Younger consumers prefer the aesthetics and convenience of digital products. (Confidence: 0.6, Creative: 0.6)

*Reflection:* 
"Have I considered all possible influences? Are there any surprising factors that could explain this shift?"

*Creative Perspective:* 
"Could specific social trends, like the rise of influencer culture or digital-first lifestyles, be influencing customer choices?"

**2.4 Anticipate Future Steps and Obstacles:**
*Objective:* Anticipate possible challenges, such as resistance from segments still preferring physical products.

*Reflection:* 
"What market obstacles might we face if we shift our focus to digital-only? Are there sub-segments that still prioritize physical products?"

*Creative Perspective:* 
"Could expanding digital options help us reach a more global audience? Are there emerging trends that we could leverage in our strategy?"

[end sys2]

[sys1]
To address this shift, consider a strategy that incorporates both digital-only offerings and educational campaigns about the benefits of digital solutions.
Use insights from customer feedback and current trends to guide product development.
Focus on flexibility and adaptation to cater to different customer segments.
[end sys1]


Working with Google Cloud Platform APIs?

If you're working with Google Cloud Platform APIs such as Datastore, Cloud Storage or Pub/Sub, consider using the @google-cloud client libraries: single purpose idiomatic Node.js clients for Google Cloud Platform services.

Support and maintenance

These client libraries are official supported by Google. However, these libraries are considered complete and are in maintenance mode. This means that we will address critical bugs and security issues but will not add any new features. For Google Cloud Platform APIs, we recommend using google-cloud-node which is under active development.

This library supports the maintenance LTS, active LTS, and current release of node.js. See the node.js release schedule for more information.

Getting started

Installation

This library is distributed on npm. In order to add it as a dependency, run the following command:

$ npm install googleapis

First example

This is a very simple example. This creates a Blogger client and retrieves the details of a blog given the blog Id:

API Reference

Authentication and authorization

The are three primary ways to authenticate to Google APIs. Some service support all authentication methods, other may only support one or two.

OAuth2 - This allows you to make API calls on behalf of a given user. In this model, the user visits your application, signs in with their Google account, and provides your application with authorization against a set of scopes. Learn more.

Service <--> Service - In this model, your application talks directly to Google APIs using a Service Account. It's useful when you have a backend application that will talk directly to Google APIs from the backend. Learn more.

API Key - With an API key, you can access your service from a client or the server. Typically less secure, this is only available on a small subset of services with limited scopes. Learn more.

In the following examples, you may need a CLIENT_ID, CLIENT_SECRET and REDIRECT_URL. You can find these pieces of information by going to the Developer Console, clicking your project --> APIs & auth --> credentials.

IMPORTANT NOTE - The refresh_token is only returned on the first authorization. More details here.

Retrieve authorization code

Once a user has given permissions on the consent page, Google will redirect the page to the redirect URL you have provided with a code query parameter.

GET /oauthcallback?code={authorizationCode}

Retrieve access token

With the code returned, you can ask for an access token as shown below:

// This will provide an object with the access_token and refresh_token.// Save these somewhere safe so they can be used at a later time.const {tokens} =awaitoauth2Client.getToken(code)
oauth2Client.setCredentials(tokens);

With the credentials set on your OAuth2 client - you're ready to go!

Handling refresh tokens

Access tokens expire. This library will automatically use a refresh token to obtain a new access token if it is about to expire. An easy way to make sure you always store the most recent tokens is to use the tokens event:

Service to Service Authentication

Rather than manually creating an OAuth2 client, JWT client, or Compute client, the auth library can create the correct credential type for you, depending upon the environment your code is running under.

For example, a JWT auth client will be created when your code is running on your local developer machine, and a Compute client will be created when the same code is running on a configured instance of Google Compute Engine.

The code below shows how to retrieve a default credential type, depending upon the runtime environment. The createScopedRequired must be called to determine when you need to pass in the scopes manually, and when they have been set for you automatically based on the configured runtime environment.

asyncfunctionmain () {
// This method looks for the GCLOUD_PROJECT and GOOGLE_APPLICATION_CREDENTIALS// environment variables.constauth=awaitgoogle.auth.getClient({
// Scopes can be specified either as an array or as a single, space-delimited string.
scopes: ['https://www.googleapis.com/auth/compute']
});
// obtain the current project Idconstproject=awaitgoogle.auth.getProjectId();
// Fetch the list of GCE zones within a project.constres=awaitcompute.zones.list({ project, auth });
console.log(res.data);
}
main().catch(console.error);

Setting global or service-level auth

You can set the auth as a global or service-level option so you don't need to specify it every request. For example, you can set auth as a global option:

Usage

Specifying request body

The body of the request is specified in the requestBody parameter object of the request. The body is specified as a JavaScript object with key/value pairs. For example, this sample creates a watcher that posts notifications to a Google Cloud Pub/Sub topic when emails are sent to a gmail account:

Media uploads

This client supports multipart media uploads. The resource parameters are specified in the requestBody parameter object, and the media itself is specified in the media.body parameter with mime-type specified in media.mimeType.

This example uploads a plain text file to Google Drive with the title "Test" and contents "Hello World".

For more examples of creation and modification requests with media attachments, take a look at the samples/drive/upload.js sample.

Request Options

For more fine-tuned control over how your API calls are made, we provide you with the ability to specify additional options that can be applied directly to the 'axios' object used in this library to make network calls to the API.

You may specify additional options either in the global google object or on a service client basis. The options you specify are attached to the axios object so whatever axios supports, this library supports. You may also specify global or per-service request parameters that will be attached to all API calls you make.

Global options

You can choose default options that will be sent with each request. These options will be used for every service instantiated by the google client. In this example, the timeout property of AxiosRequestConfig will be set for every request:

const {google} =require('googleapis');
google.options({
// All requests made with this object will use these settings unless overridden.
timeout:1000,
auth: auth
});

You can also modify the parameters sent with each request:

const {google} =require('googleapis');
google.options({
// All requests from all services will contain the above query parameter// unless overridden either in a service client or in individual API calls.
params: {
quotaUser:'user123@example.com'
}
});

Service-client options

You can also specify options when creating a service client.

constblogger=google.blogger({
version:'v3',
// All requests made with this object will use the specified auth.
auth:'API KEY';
});

By doing this, every API call made with this service client will use 'API KEY' to authenticate.

Note: Created clients are immutable so you must create a new one if you want to specify different options.

Similar to the examples above, you can also modify the parameters used for every call of a given service:

Using a Proxy

You can use the following environment variables to proxy HTTP and HTTPS requests:

HTTP_PROXY / http_proxy

HTTPS_PROXY / https_proxy

When HTTP_PROXY / http_proxy are set, they will be used to proxy non-SSL requests that do not have an explicit proxy configuration option present. Similarly, HTTPS_PROXY / https_proxy will be respected for SSL requests that do not have an explicit proxy configuration option. It is valid to define a proxy in one of the environment variables, but then override it for a specific request, using the proxy configuration option.

Getting Supported APIs

You can programatically obtain the list of supported APIs, and all available versions:

This will return an object with the API name as object property names, and an array of version strings as the object values;

TypeScript

This library is written in TypeScript, and provides types out of the box. All classes and interfaces generated for each API are exported under the ${apiName}_${version} namespace. For example, the Drive v3 API types are are all available from the drive_v3 namespace:

import { drive_v3 } from'googleapis';

Release Notes & Breaking Changes

You can find a detailed list of breaking changes and new features in our Release Notes. If you've used this library before 25.x, see our Release Notes to learn about migrating your code from 24.x.x to 25.x.x. It's pretty easy :)

License

This library is licensed under Apache 2.0. Full license text is available in LICENSE.

Contributing

We love contributions! Before submitting a Pull Request, it's always good to start with a new issue first. To learn more, see CONTRIBUTING.