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]


Q:

Java: How to compare columns of a CSV file and print specific lines

I'm new to Java programming and I've been tasked to parse a CSV file and print out the correct row of the CSV file, by comparing columns e.g. the lines printed need to have a unique 1st and 2nd column, that the 3rd column must contain "no" and that the 4th column has a value greater or equal to 
12.
There are 5 columns in total.
Also I'm not allowed to use any libraries that parse the CSV for you.
Here is my code so far: 
private static String[] routerData;

public static void main(String [] args)  {

    // Input of file which needs to be parsed
    String csvFile = "./sample.csv";
    BufferedReader csvReader = null;

    // Data split by ',' in CSV file
    String line = null;
    String csvSplitBy = ",";

    try {

        // Create the CSV file reader
        csvReader = new BufferedReader(new FileReader(csvFile));
        while ((line = csvReader.readLine()) !=null) {

            routerData = line.split(csvSplitBy, -1);
            System.out.println(routerData[0] + ", " + routerData[1] + ", " + routerData[2] + ", " + routerData[3] + ", " + routerData[4]);

        }

    } catch (FileNotFoundException e) {
        e.printStackTrace();
    } catch (IOException e) {
        e.printStackTrace();
    } finally {
        if (csvReader != null) {
            try {
                csvReader.close();
            } catch (IOException e) {
                e.printStackTrace();
            }
        }
    }
}

}
Edit Sample CSV:
For example,  a sample CSV file would look like this:
Name,IP,Working?,Version,Comments
name,0.0.0.0,No,11.2,Some GUI Bugs
name2,0.1.2.0,Yes,12.3,
name,0.0.1.0,Yes,12.2,Case broken,
name4,0.0.0.0,no,10.3

So the code has to take a CSV file and then print out the rows that have a Unique name (1st column), Unique IP (2nd column), "No" for 'Working?' (3rd column) and a version value above 12. 
I'm not sure what Data structure to use that will allow me to compare columns.
I'm very thankful for any advice! 

A:

The requirements within your question are rather confusing and things don't get any easier if there is no example CSV data. The confusing portion is in relation to Column 1 and Column 2 data regarding uniqueness. What do you consider to be UNIQUE? 
A) Is it to be Unique in the sense that Column 1 and or Column 2 contains a string or numerical value which is not duplicated in any other CSV file line (no duplicate within its respective column)?
B) Or is it to be Unique in the sense that Column 1 and or Column 2 contains a string or numerical value which is unique upon itself and can be found in other CSV file lines (duplicates allowed within its respective column)?
The example code below assumes unique condition (A). This means then, if a CSV file contained the following comma delimited lines then only two of those lines would fulfill the specified data conditions:
Jack,Flash,yes,14,Unknown Value
Bob,Stick,no,11,Unknown Value
Jack,Flash,no,22,Unknown Value
Fred,Frog,yes,6,Unknown Value
Bob,Stick,no,32,Unknown Value
Tracey,Jones,no,17,Unknown Value
Fred,Frog,no,23,Unknown Value
John,Brown,no,12,Unknown Value
Bob,Stick,yes,88,Unknown Value

since only those two lines have columns 1 and 2 which are truly unique to the entire CSV file. Can you see which lines they are?
Here is the example code:
ArrayList<String> resultList = new ArrayList<>();
ArrayList<String> linesList = new ArrayList<>();
// Input of file which needs to be parsed
String csvFile = "sample.csv";
BufferedReader csvReader;

// Data split by ',' in CSV file
String csvSplitBy = ",";
try {
    // Read the CSV file into an ArrayList array for easy processing.
    String line;
    csvReader = new BufferedReader(new FileReader(csvFile));
    while ((line = csvReader.readLine()) !=null) {
        linesList.add(line);
    }
    csvReader.close();
} 
catch (IOException e) { e.printStackTrace(); } 

// Process each CSV file line which is now contained within
// the linesList list Array
for (int i = 0; i < linesList.size(); i++) {
    String[] data = linesList.get(i).split(csvSplitBy);
    String col1 = data[0];
    String col2 = data[1];
    String col3YesNo = data[2];
    //int col4Value = Integer.parseInt(data[3]);  //WAS THIS
    double col4Value = Double.parseDouble(data[3]); // *** SHOULD BE ***
    String col5Unknown = data[4];

    // Determine if Column 1 and Column 2 data for the 
    // current line is unique to the entire CSV file.
    boolean columns1And2AreUnique = true;
    for (int j = 0; j < linesList.size(); j++) {
        String[] tmp = linesList.get(j).split(csvSplitBy);
        // Make sure we don't process the same line we are on...
        if (j != i) {
            if (col1.equals(tmp[0]) || col2.equals(tmp[1])) { 
                columns1And2AreUnique = false; 
                break;
            }
        }
    }
    if (columns1And2AreUnique && col3YesNo.equalsIgnoreCase("no") && col4Value >= 12.0) {
        resultList.add(linesList.get(i));
    }
}

// Display the determined results from the CSV file.
if (resultList.isEmpty()) {
    System.out.println("There could be no data results gathered from the supplied\n"
                     + "CSV file which meets the required criteria.");
}
else {
    System.out.println("Column 1\tColumn 2\tColumn 3\tColumn 4\tColumn 5");
    System.out.println("================================================"
                     + "========================\n");
    String padString = "        "; //Used for simple space padding in display
    for (int i = 0; i < resultList.size(); i++) {
        String[] tmp = resultList.get(i).split(csvSplitBy);
        System.out.println(tmp[0] + padString.substring(tmp[0].length()) + "\t" 
                         + tmp[1] + padString.substring(tmp[1].length()) + "\t" 
                         + tmp[2] + padString.substring(tmp[2].length()) + "\t"
                         + tmp[3] + padString.substring(tmp[3].length()) + "\t"
                         + tmp[4]);
    }
}

EDIT: Now that you have posted some sample data from your CSV file...
Well, I was very close with my columnar CSV Data Type assumptions but there does need to be a code change since I now know that the 4th data column contains Double data type values. 
You will need to change the code line that states:
int col4Value = Integer.parseInt(data[3]);

to this code line which handles the Double data type values:
double col4Value = Double.parseDouble(data[3]);

This should help you a little while you are modifying the code to suit your needs.