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]


package clamav

import (
	"bytes"
	"fmt"
	"io"
	"net"
	"os"
	"path/filepath"
	"strconv"
	"strings"
	"sync"
	"syscall"

	"github.com/golang/glog"
	"golang.org/x/net/context"
)

type FilterFiles func(string, os.FileInfo) bool

// ClamdSession is the interface for a Clamav session.
type ClamdSession interface {
	// ScanPath scans all files under the specified path. The context object
	// can be used to cancel the scan.
	ScanPath(ctx context.Context, path string, filter FilterFiles) error

	// WaitTillDone blocks until responses have been received for all the
	// files submitted for scanning.
	WaitTillDone()

	// Close closes the clamd session.
	Close() error

	// GetResults returns the scan results.
	GetResults() ClamdScanResult
}

// clamdSession keeps track of Clamav session data.
type clamdSession struct {
	// conn is the Unix domain socket connection to clamd.
	conn ClamdConn

	// partialResponse holds any partial response in case a response is
	// split across multiple reads.
	partialResponse []byte

	// closeChan is a channel by which pollResponses signals to WaitTillDone
	// that all responses have been received.
	closeChan chan bool

	// allFilesSubmitted indicates whether all files have been submitted to
	// clamd for scanning.
	allFilesSubmitted bool

	// numFilesSubmitted is the number of files that have been submitted to
	// clamd for scanning.
	numFilesSubmitted int

	// numResponsesReceived is the number of responses that have been
	// received from clamd.  There should be one response for each file
	// submitted for scanning.
	numResponsesReceived int

	// requestIDToFilename maps request ID to filename.
	// requestIDToFilename[1] is the filename of the first file submitted
	// for scanning, requestIDToFilename[2] is the filename of the second
	// file submitted, and so on.
	requestIDToFilename map[int]string

	// requestIDToFilenameMutex is a lock protecting requestIDToFilename.
	requestIDToFilenameMutex sync.Mutex

	// ignoreNegatives indicates whether negative ("OK") scan results should
	// be omitted from the results.
	ignoreNegatives bool

	// results holds the results of the scan.  It is built incrementally as
	// responses (or errors) are received from clamd.
	results ClamdScanResult
}

// ClamdScanResult holds the results of a scan.
type ClamdScanResult struct {
	// Files holds scan results for individual files.
	Files []ClamdFileResult `json:"results"`

	// Errors holds error responses received from clamd or logged internally
	// during the scan.
	Errors []string `json:"errors"`
}

// ClamdFileResult holds the scan result for a file.
type ClamdFileResult struct {
	// Filename is the name of the file.
	Filename string `json:"filename"`

	// Result is the response received from clamd for the file.
	Result string `json:"result"`

	// Errors holds any errors that arose while submitting the file to clamd
	// for scanning or reading the response from clamd.
	Errors []string `json:"errors"`
}

// IsNegative returns a Boolean value indicating whether the scan result was
// negative ("OK") or not.
func (fileResult *ClamdFileResult) IsNegative() bool {
	return fileResult.Result == "OK"
}

// NewClamdSession opens a connection to clamd, starts a session, and returns
// a session object for that session.
func NewClamdSession(socket string, ignoreNegatives bool) (ClamdSession, error) {
	conn, err := NewClamdConn(socket)
	if err != nil {
		return nil, err
	}

	err = conn.Write([]byte("zIDSESSION\000"), nil)
	if err != nil {
		return nil, err
	}

	closeChan := make(chan bool)
	requestIDToFilename := make(map[int]string)

	s := &clamdSession{
		closeChan:                closeChan,
		conn:                     conn,
		requestIDToFilename:      requestIDToFilename,
		requestIDToFilenameMutex: sync.Mutex{},
		ignoreNegatives:          ignoreNegatives,
		results: ClamdScanResult{
			Files: []ClamdFileResult{},
		},
	}

	go s.pollResponses()

	return s, nil
}

// Close ends the session with clamd and closes the connection.
func (s *clamdSession) Close() error {
	err := s.conn.Write([]byte("zEND\000"), nil)
	if err != nil {
		s.conn.Close()
		return err
	}

	return s.conn.Close()
}

// WaitTillDone waits for all responses for each file submitted to clamd to be
// received.  It should be called only after all files have been submitted.
func (s *clamdSession) WaitTillDone() {
	s.allFilesSubmitted = true

	for {
		select {
		case <-s.closeChan:
			return
		default:
		}
	}
}

// GetResults returns the scan results.
func (s *clamdSession) GetResults() ClamdScanResult {
	return s.results
}

// pollResponses polls clamd for responses, reads them, and handles them.  It
// closes closeChan and returns once all files have been submitted and all
// responses received, or when the connection to clamd is closed.
func (s *clamdSession) pollResponses() {
	defer close(s.closeChan)

	for {
		if s.allFilesSubmitted && s.numFilesSubmitted == s.numResponsesReceived {
			return
		}

		buf, err := s.conn.Read()
		if err != nil {
			if opErr, ok := err.(*net.OpError); ok && opErr.Timeout() {
				continue
			}

			s.log(err)

			if err == io.EOF {
				return
			}

			continue
		}

		s.handleResponses(buf)
	}
}

// handleResponses takes a buffer that may contain 1 or more responses from
// clamd and handles those responses individually.
func (s *clamdSession) handleResponses(buf []byte) {
	buf = append(s.partialResponse, buf...)
	s.partialResponse = nil

	for {
		end := bytes.IndexByte(buf, '\x00')
		if end <= 0 {
			s.partialResponse = buf
			return
		}

		response := string(buf[:end])
		buf = buf[end+1:]

		glog.V(6).Infof("Parsed response:\n  %#v\nremaining buffer:\n  %#v\n", response, string(buf))

		s.handleResponse(response)
	}
}

// handleResponse takes a response that was received from clamd and handles it.
func (s *clamdSession) handleResponse(response string) {
	errors := []string{}

	requestID, requestResult, err := parseClamdResponse(response)
	if err != nil {
		errors = append(errors, err.Error())
	}

	path := "<unknown>"
	if requestID != 0 {
		var ok bool

		s.requestIDToFilenameMutex.Lock()
		path, ok = s.requestIDToFilename[requestID]
		s.requestIDToFilenameMutex.Unlock()
		if !ok {
			errors = append(errors, fmt.Sprintf("request not recognized: %d", requestID))
		}

		s.numResponsesReceived++
	}

	result := ClamdFileResult{
		Filename: path,
		Result:   requestResult,
		Errors:   errors,
	}

	glog.V(6).Infof("Received scan result for request %d out of %d submitted:\n  %#v\n",
		requestID, s.numFilesSubmitted, result)

	if !s.ignoreNegatives || !result.IsNegative() {
		s.results.Files = append(s.results.Files, result)
	}
}

// parseClamdResponse takes a response that was received from clamd and parses it.
func parseClamdResponse(response string) (int, string, error) {
	glog.V(6).Infof("Parsing clamd response: %q\n", response)

	parts := strings.SplitN(response, ": ", 3)
	if len(parts) < 3 {
		return 0, "", fmt.Errorf("unexpected response from clamd: %s", response)
	}

	// Response should have the form "<requestID>: fd[<fd>]: <response>"
	// where requestID is an integer, fd[<fd>] is the file descriptor on
	// clamd's side (which is useless to us), and response is the result of
	// the clamd scan on that file descriptor.

	requestID, err := strconv.ParseInt(parts[0], 10, 0)
	if err != nil {
		return 0, "", fmt.Errorf("strconv.ParseInt failed: %s", response)
	}

	result := parts[2]

	return int(requestID), result, nil
}

// log appends an error to the scan results.
func (s *clamdSession) log(err error) {
	s.results.Errors = append(s.results.Errors, err.Error())
}

// ScanPath performs a scan on a path by walking the path and submitting files
// to clamd.  Recoverable errors are added to the scan result.  In the case of a
// non-recoverable error, an error is returned instead.
func (s *clamdSession) ScanPath(ctx context.Context, rootPath string, filter FilterFiles) error {
	walkFn := func(path string, fileInfo os.FileInfo, err error) error {
		if err != nil {
			s.log(err)
			return nil
		}

		if ctx != nil {
			select {
			case <-ctx.Done():
				return ctx.Err()
			default:
			}
		}

		if filter != nil {
			if !filter(path, fileInfo) {
				return filepath.SkipDir
			}
		}

		if path == rootPath || !fileInfo.Mode().IsRegular() {
			return nil
		}

		if err := s.scanFile(path); err != nil {
			s.log(err)
		}

		return nil
	}

	return filepath.Walk(rootPath, walkFn)
}

// scanFile submits a file to clamd for scanning.
func (s *clamdSession) scanFile(path string) error {
	f, err := os.Open(path)
	if err != nil {
		return err
	}
	defer f.Close()

	rights := syscall.UnixRights(int(f.Fd()))
	msg := []byte("zFILDES\000\000")

	err = s.conn.Write(msg, rights)
	if err != nil {
		return err
	}

	s.numFilesSubmitted++
	s.requestIDToFilenameMutex.Lock()
	s.requestIDToFilename[s.numFilesSubmitted] = path
	s.requestIDToFilenameMutex.Unlock()

	return nil
}