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]


"""
Operations with addresses
"""
# pylint: disable=redefined-outer-name,inconsistent-return-statements
import hashlib
from binascii import hexlify, unhexlify
from struct import pack, unpack

from debug import logger

ALPHABET = "123456789ABCDEFGHJKLMNPQRSTUVWXYZabcdefghijkmnopqrstuvwxyz"


def encodeBase58(num, alphabet=ALPHABET):
    """Encode a number in Base X

    Args:
      num: The number to encode
      alphabet: The alphabet to use for encoding
    """
    if num == 0:
        return alphabet[0]
    arr = []
    base = len(alphabet)
    while num:
        rem = num % base
        num = num // base
        arr.append(alphabet[rem])
    arr.reverse()
    return ''.join(arr)


def decodeBase58(string, alphabet=ALPHABET):
    """Decode a Base X encoded string into the number

    Args:
      string: The encoded string
      alphabet: The alphabet to use for encoding
    """
    base = len(alphabet)
    num = 0

    try:
        for char in string:
            num *= base
            num += alphabet.index(char)
    except:  # ValueError
        # character not found (like a space character or a 0)
        return 0
    return num


class varintEncodeError(Exception):
    """Exception class for encoding varint"""
    pass


class varintDecodeError(Exception):
    """Exception class for decoding varint data"""
    pass


def encodeVarint(integer):
    """Convert integer into varint bytes"""
    if integer < 0:
        raise varintEncodeError('varint cannot be < 0')
    if integer < 253:
        return pack('>B', integer)
    if integer >= 253 and integer < 65536:
        return pack('>B', 253) + pack('>H', integer)
    if integer >= 65536 and integer < 4294967296:
        return pack('>B', 254) + pack('>I', integer)
    if integer >= 4294967296 and integer < 18446744073709551616:
        return pack('>B', 255) + pack('>Q', integer)
    if integer >= 18446744073709551616:
        raise varintEncodeError('varint cannot be >= 18446744073709551616')


def decodeVarint(data):
    """
    Decodes an encoded varint to an integer and returns it.
    Per protocol v3, the encoded value must be encoded with
    the minimum amount of data possible or else it is malformed.
    Returns a tuple: (theEncodedValue, theSizeOfTheVarintInBytes)
    """

    if not data:
        return (0, 0)
    firstByte, = unpack('>B', data[0:1])
    if firstByte < 253:
        # encodes 0 to 252
        return (firstByte, 1)  # the 1 is the length of the varint
    if firstByte == 253:
        # encodes 253 to 65535
        if len(data) < 3:
            raise varintDecodeError(
                'The first byte of this varint as an integer is %s'
                ' but the total length is only %s. It needs to be'
                ' at least 3.' % (firstByte, len(data)))
        encodedValue, = unpack('>H', data[1:3])
        if encodedValue < 253:
            raise varintDecodeError(
                'This varint does not encode the value with the lowest'
                ' possible number of bytes.')
        return (encodedValue, 3)
    if firstByte == 254:
        # encodes 65536 to 4294967295
        if len(data) < 5:
            raise varintDecodeError(
                'The first byte of this varint as an integer is %s'
                ' but the total length is only %s. It needs to be'
                ' at least 5.' % (firstByte, len(data)))
        encodedValue, = unpack('>I', data[1:5])
        if encodedValue < 65536:
            raise varintDecodeError(
                'This varint does not encode the value with the lowest'
                ' possible number of bytes.')
        return (encodedValue, 5)
    if firstByte == 255:
        # encodes 4294967296 to 18446744073709551615
        if len(data) < 9:
            raise varintDecodeError(
                'The first byte of this varint as an integer is %s'
                ' but the total length is only %s. It needs to be'
                ' at least 9.' % (firstByte, len(data)))
        encodedValue, = unpack('>Q', data[1:9])
        if encodedValue < 4294967296:
            raise varintDecodeError(
                'This varint does not encode the value with the lowest'
                ' possible number of bytes.')
        return (encodedValue, 9)


def calculateInventoryHash(data):
    """Calculate inventory hash from object data"""
    sha = hashlib.new('sha512')
    sha2 = hashlib.new('sha512')
    sha.update(data)
    sha2.update(sha.digest())
    return sha2.digest()[0:32]


def encodeAddress(version, stream, ripe):
    """Convert ripe to address"""
    if version >= 2 and version < 4:
        if len(ripe) != 20:
            raise Exception(
                'Programming error in encodeAddress: The length of'
                ' a given ripe hash was not 20.'
            )
        if ripe[:2] == '\x00\x00':
            ripe = ripe[2:]
        elif ripe[:1] == '\x00':
            ripe = ripe[1:]
    elif version == 4:
        if len(ripe) != 20:
            raise Exception(
                'Programming error in encodeAddress: The length of'
                ' a given ripe hash was not 20.')
        ripe = ripe.lstrip('\x00')

    storedBinaryData = encodeVarint(version) + encodeVarint(stream) + ripe

    # Generate the checksum
    sha = hashlib.new('sha512')
    sha.update(storedBinaryData)
    currentHash = sha.digest()
    sha = hashlib.new('sha512')
    sha.update(currentHash)
    checksum = sha.digest()[0:4]

    asInt = int(hexlify(storedBinaryData) + hexlify(checksum), 16)
    return 'BM-' + encodeBase58(asInt)


def decodeAddress(address):
    """
    returns (status, address version number, stream number,
    data (almost certainly a ripe hash))
    """
    # pylint: disable=too-many-return-statements,too-many-statements
    # pylint: disable=too-many-branches

    address = str(address).strip()

    if address[:3] == 'BM-':
        integer = decodeBase58(address[3:])
    else:
        integer = decodeBase58(address)
    if integer == 0:
        status = 'invalidcharacters'
        return status, 0, 0, ''
    # after converting to hex, the string will be prepended
    # with a 0x and appended with a L
    hexdata = hex(integer)[2:-1]

    if len(hexdata) % 2 != 0:
        hexdata = '0' + hexdata

    data = unhexlify(hexdata)
    checksum = data[-4:]

    sha = hashlib.new('sha512')
    sha.update(data[:-4])
    currentHash = sha.digest()
    sha = hashlib.new('sha512')
    sha.update(currentHash)

    if checksum != sha.digest()[0:4]:
        status = 'checksumfailed'
        return status, 0, 0, ''

    try:
        addressVersionNumber, bytesUsedByVersionNumber = decodeVarint(data[:9])
    except varintDecodeError as e:
        logger.error(str(e))
        status = 'varintmalformed'
        return status, 0, 0, ''

    if addressVersionNumber > 4:
        logger.error('cannot decode address version numbers this high')
        status = 'versiontoohigh'
        return status, 0, 0, ''
    elif addressVersionNumber == 0:
        logger.error('cannot decode address version numbers of zero.')
        status = 'versiontoohigh'
        return status, 0, 0, ''

    try:
        streamNumber, bytesUsedByStreamNumber = \
            decodeVarint(data[bytesUsedByVersionNumber:])
    except varintDecodeError as e:
        logger.error(str(e))
        status = 'varintmalformed'
        return status, 0, 0, ''

    status = 'success'
    if addressVersionNumber == 1:
        return status, addressVersionNumber, streamNumber, data[-24:-4]
    elif addressVersionNumber == 2 or addressVersionNumber == 3:
        embeddedRipeData = \
            data[bytesUsedByVersionNumber + bytesUsedByStreamNumber:-4]
        if len(embeddedRipeData) == 19:
            return status, addressVersionNumber, streamNumber, \
                '\x00' + embeddedRipeData
        elif len(embeddedRipeData) == 20:
            return status, addressVersionNumber, streamNumber, \
                embeddedRipeData
        elif len(embeddedRipeData) == 18:
            return status, addressVersionNumber, streamNumber, \
                '\x00\x00' + embeddedRipeData
        elif len(embeddedRipeData) < 18:
            return 'ripetooshort', 0, 0, ''
        elif len(embeddedRipeData) > 20:
            return 'ripetoolong', 0, 0, ''
        return 'otherproblem', 0, 0, ''
    elif addressVersionNumber == 4:
        embeddedRipeData = \
            data[bytesUsedByVersionNumber + bytesUsedByStreamNumber:-4]
        if embeddedRipeData[0:1] == '\x00':
            # In order to enforce address non-malleability, encoded
            # RIPE data must have NULL bytes removed from the front
            return 'encodingproblem', 0, 0, ''
        elif len(embeddedRipeData) > 20:
            return 'ripetoolong', 0, 0, ''
        elif len(embeddedRipeData) < 4:
            return 'ripetooshort', 0, 0, ''
        x00string = '\x00' * (20 - len(embeddedRipeData))
        return status, addressVersionNumber, streamNumber, \
            x00string + embeddedRipeData


def addBMIfNotPresent(address):
    """Prepend BM- to an address if it doesn't already have it"""
    address = str(address).strip()
    return address if address[:3] == 'BM-' else 'BM-' + address