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]



[[_overview_modules]]
= Modules

``{link_module}``s define components that can be injected using the JSR-330 API.
Module definitions are highly influenced by the Guice 3.x API; however, they do not
impose a strict dependency on Guice.

[[_overview_module_definition]]
== Module Definition

All modules must implement the `{link_module}` interface shown next:

[source,java,linenums,options="nowrap"]
----
include::{rootprojectdir}/subprojects/griffon-core/src/main/java/griffon/core/injection/Module.java[lines=27..-1]
----

They also require a well defined name. This can be achieved by annotating the module
class with `@javax.inject.Named`. If a value for `@javax.inject.Named` is not defined, then
one will be automatically calculated using the fully qualified class name. For example:

[source,java,linenums,options="nowrap"]
----
package org.example;

import griffon.core.injection.Module;
import org.codehaus.griffon.runtime.core.injection.AbstractModule;
import org.kordamp.jipsy.ServiceProviderFor;

import javax.inject.Named;

@ServiceProviderFor(Module.class)
@Named
public class CustomModule extends AbstractModule {
    @Override
    protected void doConfigure() {
        // bindings
    }
}
----

Results in a module named `org.example.custom`; whereas the following definition

[source,java,linenums,options="nowrap"]
----
package org.example;

import griffon.core.injection.Module;
import org.codehaus.griffon.runtime.core.injection.AbstractModule;
import org.kordamp.jipsy.ServiceProviderFor;

import javax.inject.Named;

@ServiceProviderFor(Module.class)
@Named("custom")
public class CustomModule extends AbstractModule {
    @Override
    protected void doConfigure() {
        // bindings
    }
}
----

Results in a module simply called `custom`. A module may depend on another module; when
that's the case, then the bindings of this module are processed after their dependencies. This
allows dependent modules to override bindings made by their dependencies. Module dependencies
are specified using the `{link_depends_on}` annotation, like so:

[source,java,linenums,options="nowrap"]
----
import griffon.core.injection.Module;
import griffon.annotations.inject.DependsOn;
import org.codehaus.griffon.runtime.core.injection.AbstractModule;
import org.kordamp.jipsy.ServiceProviderFor;

import javax.inject.Named;

@ServiceProviderFor(Module.class)
@DependsOn("parent-module")
@Named
public class CustomModule extends AbstractModule {
    @Override
    protected void doConfigure() {
        // bindings
    }
}
----

[[_overview_module_configuration]]
== Module Configuration

Modules perform their duty by defining bindings, of which there are 4 kinds:

 * {link_instance_binding}
 * {link_target_binding}
 * {link_provider_binding}
 * {link_provider_type_binding}

Bindings have a scope of either `singleton` or `prototype`. `InstanceBinding` is the only
binding that has `singleton` as implicit scope; this setting can't be changed.
All bindings accept a `classifier` or an `classifier_type`. Classifiers are annotations that
have been annotated with `@javax.inject.Qualifier`. You must specify one or the other but
not both; `classifier` has precedence over `classifier_type`.

[[_overview_instance_binding]]
=== Instance Binding

This binding is used to define explicit and eager singletons, for example:

[source,java,options="nowrap"]
----
bind(Calculator.class)
    .toInstance(new GroovyShellCalculator());
----

Consumers of this binding will typically define the following:

[source,java,options="nowrap"]
----
@Inject private Calculator calculator;
----

Notice that the field type matches the _source_ type defined in the binding.

[[_overview_target_binding]]
=== Target Binding

This binding enables you to specify the _source_ type and _target_ type. Typically the
_source_ is an interface while the _target_ is a concrete implementation. If the _target_
is omitted, then the binding assumes the _source_ to be a concrete type.

[source,java,options="nowrap"]
----
bind(Calculator.class)
    .to(GroovyShellCalculator.class);
----

Consumers of this binding will use the following form:

[source,java,options="nowrap"]
----
@Inject private Calculator calculator;
----

On the other hand, if the binding where to be defined as

[source,java,options="nowrap"]
----
bind(GroovyShellCalculator.class);
----

then the consumers must use the same matching _source_/_target_ type, that is

[source,java,options="nowrap"]
----
@Inject private GroovyShellCalculator calculator;
----

Attempting to use the base type `Calculator` by the consumer will result in an unresolved binding.

[[_overview_provider_binding]]
=== Provider Binding

This binding behaves like a factory, giving you the power to decide with extreme precision
how the instance should be created. Bindings of this type require an eager instance of
type `javax.inject.Provider`.

[source,java,options="nowrap"]
----
bind(Calculator.class)
    .toProvider(new CalculatorProvider());
----

Consumers of this binding will use the following form:

[source,java,options="nowrap"]
----
@Inject private Calculator calculator;
----

[[_overview_provider_type_binding]]
=== Provider Type Binding

Finally we have the most flexible binding as it lets you specify a `javax.injectProvider`
type that will be used to lazily instantiate the provider before obtaining the type instance.

[source,java,options="nowrap"]
----
bind(Calculator.class)
    .toProvider(CalculatorProvider.class);
----

Consumers of this binding will use the following form:

[source,java,options="nowrap"]
----
@Inject private Calculator calculator;
----

[[_overview_constant_value_binding]]
=== Constant Value Binding

You may use a variation of <<_overview_instance_binding, Instance Binding>> to bind a constant value, for example an instance
of `java.lang.String`. You *must* make sure to always use a qualifier. For example, the following constant value

[source,java,options="nowrap"]
----
bind(String.class)
    .withClassifier(named(GithubAPI.GITHUB_API_URL_KEY))
    .toInstance("https://api.github.com");
----

Can be injected into a target instance as

[source,java,options="nowrap"]
----
public class GithubBean {
    @Inject @Named(GithubAPI.GITHUB_API_URL_KEY)
    private String githubApiUrl;
}
----

[[_overview_bindings_additional_settings]]
== Additional Settings

All bindings (with one particular exception) accept the following additional settings:

.withClassifierType

This method is used to define an additional annotation type that's been marked as a `@Qualifier` (such as `@javax.inject.Named`)
that should go along with the declared binding. Any qualifiers found in the _target_ type (or `Provider`) will be overridden
by this setting.

.withClassifier

Similar to the previous setting, this one allows you to supply an annotation instance, enabling the setting of a custom
annotation property, such as the `value` of `@javax.inject.Named`. Here's an excerpt of the default bindings provided
by the Griffon runtime:

[source,java,options="nowrap"]
----
bind(Context.class)
    .withClassifier(griffon.util.AnnotationUtils.named("applicationContext"))
    .toProvider(DefaultContextProvider.class)
    .asSingleton();
----

Any qualifiers found in the _target_ (or `Provider`) will be overridden by this setting.

.asSingleton

If omitted, the binding will be placed in `prototype` scope. The only binding that does not conform to this rule is *InstanceBinding*,
as it will be automatically placed in `singleton` scope.

[[_overview_binding_equivalencies]]
== Binding Equivalencies

Any binding can be overridden by an equivalent binding. The following table describes the equivalencies between bindings:

[cols="a,a",options="header"]
|===

| Binding
| Equivalence

|
[source,java,options="nowrap"]
----
bind(Calculator.class)
    .to(GroovyShellCalculator.class);
----
|
[source,java,options="nowrap"]
----
bind(Calculator.class)
    .toProvider(GroovyShellCalculatorProvider.class);
----

|
[source,java,options="nowrap"]
----
bind(Calculator.class)
    .to(GroovyShellCalculator.class);
----
|
[source,java,options="nowrap"]
----
bind(Calculator.class)
    .toProvider(new GroovyShellCalculatorProvider());
----

|
[source,java,options="nowrap"]
----
bind(Calculator.class)
    .toProvider(GroovyShellCalculatorProvider.class);
----
|
[source,java,options="nowrap"]
----
bind(Calculator.class)
    .toProvider(new GroovyShellCalculatorProvider());
----

|===

NOTE: Equivalent bindings must match qualifiers too.


[[_overview_module_evictions]]
== Module Evictions

Given binding equivalences a module may override bindings supplied by other modules, but you can't avoid the original
bindings from being added in the first case. With module evictions is possible for a module to evict another one,
effectively barring the evicted module from contributing its bindings. Let's say there's a module named "foo" defined
as follows

[source, java]
----
import griffon.core.injection.Module;
import griffon.annotations.inject.DependsOn;
import org.codehaus.griffon.runtime.core.injection.AbstractModule;
import org.kordamp.jipsy.ServiceProviderFor;

import javax.inject.Named;

@Named("foo")
@ServiceProviderFor(Module.class)
public class FooModule extends AbstractModule {
    @Override
    protected void doConfigure() {
        // binding definitions
    }
}
----

You may evict this module by defining another module annotated with `{link_evicts}`, such as

[source, java]
----
import griffon.core.injection.Module;
import griffon.annotations.inject.DependsOn;
import griffon.annotations.inject.Evicts;
import org.codehaus.griffon.runtime.core.injection.AbstractModule;
import org.kordamp.jipsy.ServiceProviderFor;

import javax.inject.Named;

@Named("foo")
@Evicts("foo")
@ServiceProviderFor(Module.class)
public class FooEvictorModule extends AbstractModule {
    @Override
    protected void doConfigure() {
        // binding definitions
    }
}
----

The evicting module (`FooEvictorModule`)  has to have the same name as the evicted module (`FooModule`) hence why both
modules are annotated with `@Named("foo")`.

[[_overview_guice_injector]]
== The Guice Injector

The dependency `griffon-guice-{griffon-version}` uses {link_google_guice} to implement the JSR-330 API
that `griffon-core-{griffon-version}` requires. As an additional feature, this dependency can automatically
load Guice modules during startup. The only requirement is a metadata file that defines the module class
that should be loaded.

Here's an example that reuses the Quartz Scheduler from {link_apache_onami}.

[source,java,linenums,options="nowrap"]
----
package com.acme;

import org.apache.onami.scheduler.QuartzModule;
import com.google.inject.Module;
import org.kordamp.jipsy.ServiceProviderFor;

@ServiceProviderFor(Module.class)
public class MyQuartzModule extends QuartzModule {
    @Override
    protected void schedule() {
        scheduleJob(MyJobClass.class);
    }
}
----

When compiled, this class generates a metadata file at `META-INF/services/com.google.inject.Module` with
contents similar to

[source,java,linenums,options="nowrap"]
----
# Generated by org.kordamp.jipsy.processor.service.ServiceProviderProcessor (0.4.0)
# Thu, 7 Aug 2014 21:02:58 +0200
com.acme.MyQuartzModule
----

Of course the usage of `@ServiceProviderFor` is just a convenience; you can generate the metadata file
by other means. The important thing is that the file must be available in the classpath.

Guice modules are added after all Griffon modules; this means they have the chance to override any bindings
set by the Griffon modules.