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]


# This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2018.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative works of this code must retain this
# copyright notice, and modified files need to carry a notice indicating
# that they have been altered from the originals.

# Copyright (c) 2009-2010 testtools developers.

# Forked from testing-cabal/testtools

# pylint: disable=missing-return-type-doc,missing-type-doc,missing-type-doc,invalid-name
# pylint: disable=broad-except,attribute-defined-outside-init,unused-argument

"""Individual test case execution."""

__all__ = [
    'MultipleExceptions',
    'RunTest',
    ]

import sys

try:
    from testtools.testresult import ExtendedToOriginalDecorator
    HAS_TESTTOOLS = True
except ImportError:
    HAS_TESTTOOLS = False


class MultipleExceptions(Exception):
    """Represents many exceptions raised from some operation.
    :ivar args: The sys.exc_info() tuples for each exception.
    """


class RunTest:
    """An object to run a test.
    RunTest objects are used to implement the internal logic involved in
    running a test. TestCase.__init__ stores _RunTest as the class of RunTest
    to execute.  Passing the runTest= parameter to TestCase.__init__ allows a
    different RunTest class to be used to execute the test.
    Subclassing or replacing RunTest can be useful to add functionality to the
    way that tests are run in a given project.
    :ivar case: The test case that is to be run.
    :ivar result: The result object a case is reporting to.
    :ivar handlers: A list of (ExceptionClass, handler_function) for
        exceptions that should be caught if raised from the user
        code. Exceptions that are caught are checked against this list in
        first to last order.  There is a catch-all of 'Exception' at the end
        of the list, so to add a new exception to the list, insert it at the
        front (which ensures that it will be checked before any existing base
        classes in the list. If you add multiple exceptions some of which are
        subclasses of each other, add the most specific exceptions last (so
        they come before their parent classes in the list).
    :ivar exception_caught: An object returned when _run_user catches an
        exception.
    :ivar _exceptions: A list of caught exceptions, used to do the single
        reporting of error/failure/skip etc.
    """

    def __init__(self, case, handlers=None, last_resort=None):
        """Create a RunTest to run a case.

        Args:
            case: A test case object.
            handlers: Exception handlers for this RunTest. These are stored
                in self.handlers and can be modified later if needed.
            last_resort: A handler of last resort: any exception which is
                not handled by handlers will cause the last resort handler to be
                called as last_resort(exc_info), and then the exception will be
                raised - aborting the test run as this is inside the runner
                machinery rather than the confined context of the test.
        Raises:
            ImportError: If test requirements aren't installed
        """
        if not HAS_TESTTOOLS:
            raise ImportError(
                "Test runner requirements testtools and fixtures are missing. "
                "Install them with 'pip install testtools fixtures'")
        self.case = case
        self.handlers = handlers or []
        self.exception_caught = object()
        self._exceptions = []
        self.last_resort = last_resort or (lambda case, result, exc: None)

    def run(self, result=None):
        """Run self.case reporting activity to result.
        Args:
            result: Optional testtools.TestResult to report activity to.

        Returns:
            The result object the test was run against.
        """
        if result is None:
            actual_result = self.case.defaultTestResult()
            actual_result.startTestRun()
        else:
            actual_result = result
        try:
            return self._run_one(actual_result)
        finally:
            if result is None:
                actual_result.stopTestRun()

    def _run_one(self, result):
        """Run one test reporting to result.
        :param result: A testtools.TestResult to report activity to.
            This result object is decorated with an ExtendedToOriginalDecorator
            to ensure that the latest TestResult API can be used with
            confidence by client code.
        :return: The result object the test was run against.
        """
        return self._run_prepared_result(ExtendedToOriginalDecorator(result))

    def _run_prepared_result(self, result):
        """Run one test reporting to result.
        :param result: A testtools.TestResult to report activity to.
        :return: The result object the test was run against.
        """
        result.startTest(self.case)
        self.result = result
        try:
            self._exceptions = []
            self.case.__testtools_tb_locals__ = getattr(
                result, 'tb_locals', False)
            self._run_core()
            if self._exceptions:
                # One or more caught exceptions, now trigger the test's
                # reporting method for just one.
                e = self._exceptions.pop()
                for exc_class, handler in self.handlers:
                    if isinstance(e, exc_class):
                        handler(self.case, self.result, e)
                        break
                else:
                    self.last_resort(self.case, self.result, e)
                    raise e
        finally:
            result.stopTest(self.case)
        return result

    def _run_core(self):
        """Run the user supplied test code."""
        test_method = self.case._get_test_method()
        skip_case = getattr(self.case, '__unittest_skip__', False)
        if skip_case or getattr(test_method, '__unittest_skip__', False):
            self.result.addSkip(
                self.case,
                reason=getattr(self.case if skip_case else test_method,
                               '__unittest_skip_why__', None)
            )
            return

        if self.exception_caught == self._run_user(self.case._run_setup,
                                                   self.result):
            # Don't run the test method if we failed getting here.
            self._run_cleanups(self.result)
            return
        # Run everything from here on in. If any of the methods raise an
        # exception we'll have failed.
        failed = False
        try:
            if self.exception_caught == self._run_user(
                    self.case._run_test_method, self.result):
                failed = True
        finally:
            try:
                if self.exception_caught == self._run_user(
                        self.case._run_teardown, self.result):
                    failed = True
            finally:
                try:
                    if self.exception_caught == self._run_user(
                            self._run_cleanups, self.result):
                        failed = True
                finally:
                    if getattr(self.case, 'force_failure', None):
                        self._run_user(_raise_force_fail_error)
                        failed = True
                    if not failed:
                        self.result.addSuccess(self.case,
                                               details=self.case.getDetails())

    def _run_cleanups(self, result):
        """Run the cleanups that have been added with addCleanup.
        See the docstring for addCleanup for more information.
        :return: None if all cleanups ran without error,
            ``exception_caught`` if there was an error.
        """
        failing = False
        while self.case._cleanups:
            function, arguments, keywordArguments = self.case._cleanups.pop()
            got_exception = self._run_user(
                function, *arguments, **keywordArguments)
            if got_exception == self.exception_caught:
                failing = True
        if failing:
            return self.exception_caught

    def _run_user(self, fn, *args, **kwargs):
        """Run a user supplied function.
        Exceptions are processed by `_got_user_exception`.
        :return: Either whatever 'fn' returns or ``exception_caught`` if
            'fn' raised an exception.
        """
        try:
            return fn(*args, **kwargs)
        except Exception:
            return self._got_user_exception(sys.exc_info())

    def _got_user_exception(self, exc_info, tb_label='traceback'):
        """Called when user code raises an exception.
        If 'exc_info' is a `MultipleExceptions`, then we recurse into it
        unpacking the errors that it's made up from.
        :param exc_info: A sys.exc_info() tuple for the user error.
        :param tb_label: An optional string label for the error.  If
            not specified, will default to 'traceback'.
        :return: 'exception_caught' if we catch one of the exceptions that
            have handlers in 'handlers', otherwise raise the error.
        """
        if exc_info[0] is MultipleExceptions:
            for sub_exc_info in exc_info[1].args:
                self._got_user_exception(sub_exc_info, tb_label)
            return self.exception_caught
        try:
            e = exc_info[1]
            self.case.onException(exc_info, tb_label=tb_label)
        finally:
            del exc_info
        self._exceptions.append(e)
        # Yes, this means we catch everything - we re-raise KeyBoardInterrupt
        # etc later, after tearDown and cleanUp - since those may be cleaning up
        # external processes.
        return self.exception_caught


def _raise_force_fail_error():
    raise AssertionError("Forced Test Failure")


# Signal that this is part of the testing framework, and that code from this
# should not normally appear in tracebacks.
__unittest = True