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:

Build images and some configuration files like txt and xml files with pyinstaller

I have a trouble with pyinstaller when adding some data files like images and txts to python program. For example, I have created a toolbar with icons, and I store them in a seperate folder named images. Also I have some some txt and xml files to store some configurations. These txt ant xml files are stored in another folder named data_files. All the py files are stored in another folder named source.
When I am trying to build this python program with pyinstaller, pyinstaller can successfully build all of the source folder, but the images and data_files folders can not be built. I checked the documentation of pyinstaller but I could not find any solution. I have made a lot of google searches and found only this resourse as helpful, but this is a very inadequate resource.
My main question is: How can I build an exe file with a separately built folder such as images and confs by using pyinstaller?
Edit:
I found the solution. When you create the spec file you have to a.datas parameter.
# -*- mode: python -*-
a = Analysis([os.path.join(HOMEPATH,'support/_mountzlib.py'), os.path.join(HOMEPATH,'support/useUnicode.py'), '/home/vmode/Desktop/derlem2/sources/TextSTAT.py'],
             pathex=['/home/pyinstaller'])
a.datas += [("Images/New.gif","/home/vmode/Desktop/derlem2/Images/New.gif","DATA")]
a.datas += [("Images/Open.gif","/home/vmode/Desktop/derlem2/Images/Open.gif","DATA")]
a.datas += [("Images/Column.gif","/home/vmode/Desktop/derlem2/Images/Column.gif","DATA")]
pyz = PYZ(a.pure)
exe = EXE( pyz,
          a.scripts,
          a.binaries,
          a.zipfiles,
          a.datas,
          name=os.path.join('dist', 'TextSTAT'),
          debug=False,
          strip=False,
          upx=True,
          console=1 )

The above spec code is designed for my project. As seen in this spec code I have included 3 icons to build with the python program. When the programme is generated there is a standalone executable file with embedded these icons.
But what if we have so many files? Suppose that we have 1000 icons to use in our program. It is very inadequate to write down to spec file by hand. There must be a loop system to read the file directory and add these files dynamically. But I could not find how to add these files dynamically. There is no any chance to add these so many files by hand I think. If anyone knows please share.

A:

In creating my executable, I came across this problem as well. Because the .spec file is using python, glob module was my solution.
imagesList = []
imagesList.append( ('icon.ico', '..\\pathfinder\\icon.ico',  'DATA') )
import glob
allImages = glob.glob('..\\pathfinder\\*.png')
for eachImage in allImages:
    imageParts = eachImage.split('\\')
    imagesList.append( (imageParts[-1], eachImage,  'DATA') )
print imagesList
a.datas += imagesList

Line 2 regarding icon.ico was separate because it had a different file extension, and can thus be excluded. '..\pathfinder' is the path for all of my program's files (relative from pyinstaller directory). glob searches the directory for all .png files (I have 65 and refused to write them all by hand) and returns a list of them as strings, full relative directory intact. To separate it into a list of filenames, I used string.split() on backslash. Then for each, append to a user-made list a tuple of the final part of the string split (which would end up being just the filename of the image) and the full pathname. Finally, with a list of all the files, add it to a.datas.
I've confirmed through the command line that this does indeed work correctly, and you can re-copy the loop for any additional file extensions.
Unfortunately, even though it seems to pull and attach the filenames correctly, my executable still does not seem to be created with the files (or the executable cannot find the files within its own data) and I still have to have the raw images in the same directory for it to work; perhaps I have the elements of the tuple ordered incorrectly (and thus, if so, you should adjust my code accordingly). Hopefully, this dynamic load will still work for you, though. imageParts[-1] represents each .png's filename, and eachImage represents its full path (or relative path if that's what was used in glob).