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]


# frozen_string_literal: true

# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# Auto-generated by gapic-generator-ruby. DO NOT EDIT!


module Google
  module Cloud
    module Logging
      module V2
        # An individual entry in a log.
        # @!attribute [rw] log_name
        #   @return [::String]
        #     Required. The resource name of the log to which this log entry belongs:
        #
        #         "projects/[PROJECT_ID]/logs/[LOG_ID]"
        #         "organizations/[ORGANIZATION_ID]/logs/[LOG_ID]"
        #         "billingAccounts/[BILLING_ACCOUNT_ID]/logs/[LOG_ID]"
        #         "folders/[FOLDER_ID]/logs/[LOG_ID]"
        #
        #     A project number may be used in place of PROJECT_ID. The project number is
        #     translated to its corresponding PROJECT_ID internally and the `log_name`
        #     field will contain PROJECT_ID in queries and exports.
        #
        #     `[LOG_ID]` must be URL-encoded within `log_name`. Example:
        #     `"organizations/1234567890/logs/cloudresourcemanager.googleapis.com%2Factivity"`.
        #     `[LOG_ID]` must be less than 512 characters long and can only include the
        #     following characters: upper and lower case alphanumeric characters,
        #     forward-slash, underscore, hyphen, and period.
        #
        #     For backward compatibility, if `log_name` begins with a forward-slash, such
        #     as `/projects/...`, then the log entry is ingested as usual but the
        #     forward-slash is removed. Listing the log entry will not show the leading
        #     slash and filtering for a log name with a leading slash will never return
        #     any results.
        # @!attribute [rw] resource
        #   @return [::Google::Api::MonitoredResource]
        #     Required. The monitored resource that produced this log entry.
        #
        #     Example: a log entry that reports a database error would be associated with
        #     the monitored resource designating the particular database that reported
        #     the error.
        # @!attribute [rw] proto_payload
        #   @return [::Google::Protobuf::Any]
        #     The log entry payload, represented as a protocol buffer. Some Google
        #     Cloud Platform services use this field for their log entry payloads.
        #
        #     The following protocol buffer types are supported; user-defined types
        #     are not supported:
        #
        #       "type.googleapis.com/google.cloud.audit.AuditLog"
        #       "type.googleapis.com/google.appengine.logging.v1.RequestLog"
        # @!attribute [rw] text_payload
        #   @return [::String]
        #     The log entry payload, represented as a Unicode string (UTF-8).
        # @!attribute [rw] json_payload
        #   @return [::Google::Protobuf::Struct]
        #     The log entry payload, represented as a structure that is
        #     expressed as a JSON object.
        # @!attribute [rw] timestamp
        #   @return [::Google::Protobuf::Timestamp]
        #     Optional. The time the event described by the log entry occurred. This time is used
        #     to compute the log entry's age and to enforce the logs retention period.
        #     If this field is omitted in a new log entry, then Logging assigns it the
        #     current time. Timestamps have nanosecond accuracy, but trailing zeros in
        #     the fractional seconds might be omitted when the timestamp is displayed.
        #
        #     Incoming log entries must have timestamps that don't exceed the
        #     [logs retention
        #     period](https://cloud.google.com/logging/quotas#logs_retention_periods) in
        #     the past, and that don't exceed 24 hours in the future. Log entries outside
        #     those time boundaries aren't ingested by Logging.
        # @!attribute [r] receive_timestamp
        #   @return [::Google::Protobuf::Timestamp]
        #     Output only. The time the log entry was received by Logging.
        # @!attribute [rw] severity
        #   @return [::Google::Cloud::Logging::Type::LogSeverity]
        #     Optional. The severity of the log entry. The default value is `LogSeverity.DEFAULT`.
        # @!attribute [rw] insert_id
        #   @return [::String]
        #     Optional. A unique identifier for the log entry. If you provide a value, then
        #     Logging considers other log entries in the same project, with the same
        #     `timestamp`, and with the same `insert_id` to be duplicates which are
        #     removed in a single query result. However, there are no guarantees of
        #     de-duplication in the export of logs.
        #
        #     If the `insert_id` is omitted when writing a log entry, the Logging API
        #      assigns its own unique identifier in this field.
        #
        #     In queries, the `insert_id` is also used to order log entries that have
        #     the same `log_name` and `timestamp` values.
        # @!attribute [rw] http_request
        #   @return [::Google::Cloud::Logging::Type::HttpRequest]
        #     Optional. Information about the HTTP request associated with this log entry, if
        #     applicable.
        # @!attribute [rw] labels
        #   @return [::Google::Protobuf::Map{::String => ::String}]
        #     Optional. A set of user-defined (key, value) data that provides additional
        #     information about the log entry.
        # @!attribute [rw] operation
        #   @return [::Google::Cloud::Logging::V2::LogEntryOperation]
        #     Optional. Information about an operation associated with the log entry, if
        #     applicable.
        # @!attribute [rw] trace
        #   @return [::String]
        #     Optional. Resource name of the trace associated with the log entry, if any. If it
        #     contains a relative resource name, the name is assumed to be relative to
        #     `//tracing.googleapis.com`. Example:
        #     `projects/my-projectid/traces/06796866738c859f2f19b7cfb3214824`
        # @!attribute [rw] span_id
        #   @return [::String]
        #     Optional. The span ID within the trace associated with the log entry.
        #
        #     For Trace spans, this is the same format that the Trace API v2 uses: a
        #     16-character hexadecimal encoding of an 8-byte array, such as
        #     `000000000000004a`.
        # @!attribute [rw] trace_sampled
        #   @return [::Boolean]
        #     Optional. The sampling decision of the trace associated with the log entry.
        #
        #     True means that the trace resource name in the `trace` field was sampled
        #     for storage in a trace backend. False means that the trace was not sampled
        #     for storage when this log entry was written, or the sampling decision was
        #     unknown at the time. A non-sampled `trace` value is still useful as a
        #     request correlation identifier. The default is False.
        # @!attribute [rw] source_location
        #   @return [::Google::Cloud::Logging::V2::LogEntrySourceLocation]
        #     Optional. Source code location information associated with the log entry, if any.
        class LogEntry
          include ::Google::Protobuf::MessageExts
          extend ::Google::Protobuf::MessageExts::ClassMethods

          # @!attribute [rw] key
          #   @return [::String]
          # @!attribute [rw] value
          #   @return [::String]
          class LabelsEntry
            include ::Google::Protobuf::MessageExts
            extend ::Google::Protobuf::MessageExts::ClassMethods
          end
        end

        # Additional information about a potentially long-running operation with which
        # a log entry is associated.
        # @!attribute [rw] id
        #   @return [::String]
        #     Optional. An arbitrary operation identifier. Log entries with the same
        #     identifier are assumed to be part of the same operation.
        # @!attribute [rw] producer
        #   @return [::String]
        #     Optional. An arbitrary producer identifier. The combination of `id` and
        #     `producer` must be globally unique. Examples for `producer`:
        #     `"MyDivision.MyBigCompany.com"`, `"github.com/MyProject/MyApplication"`.
        # @!attribute [rw] first
        #   @return [::Boolean]
        #     Optional. Set this to True if this is the first log entry in the operation.
        # @!attribute [rw] last
        #   @return [::Boolean]
        #     Optional. Set this to True if this is the last log entry in the operation.
        class LogEntryOperation
          include ::Google::Protobuf::MessageExts
          extend ::Google::Protobuf::MessageExts::ClassMethods
        end

        # Additional information about the source code location that produced the log
        # entry.
        # @!attribute [rw] file
        #   @return [::String]
        #     Optional. Source file name. Depending on the runtime environment, this
        #     might be a simple name or a fully-qualified name.
        # @!attribute [rw] line
        #   @return [::Integer]
        #     Optional. Line within the source file. 1-based; 0 indicates no line number
        #     available.
        # @!attribute [rw] function
        #   @return [::String]
        #     Optional. Human-readable name of the function or method being invoked, with
        #     optional context such as the class or package name. This information may be
        #     used in contexts such as the logs viewer, where a file and line number are
        #     less meaningful. The format can vary by language. For example:
        #     `qual.if.ied.Class.method` (Java), `dir/package.func` (Go), `function`
        #     (Python).
        class LogEntrySourceLocation
          include ::Google::Protobuf::MessageExts
          extend ::Google::Protobuf::MessageExts::ClassMethods
        end
      end
    end
  end
end