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]


import multiprocessing
import queue
from static import settings
from processing import name_generator
from processing.wrappers import QueueReader, LoaderProgress
import sql


class RedditLoader(multiprocessing.Process):
	def __init__(self, sources, settings_json, db_lock):
		""" This is a daemon Loader class, which facilitates loading from multiple Sources
		 	and safely submitting their Posts to an internal queue.
		"""
		super().__init__()
		self.sources = sources
		self.settings = settings_json
		self._queue = multiprocessing.Queue(maxsize=2500)
		self._open_ack = set()
		self._ack_queue = multiprocessing.Queue()
		self._stop_event = multiprocessing.Event()  # This is a shared mp.Event, set when this reader should be done.
		self._reader = QueueReader(input_queue=self._queue, stop_event=self._stop_event)
		self._session = None
		self._lock = db_lock
		self.progress = LoaderProgress()
		self.daemon = True
		self.name = 'RedditElementLoader'

	def run(self):
		try:
			self.load()
		finally:
			self._stop_event.set()

	def load(self):
		""" Threaded loading of elements. """
		settings.from_json(self.settings)
		sql.init_from_settings()
		self._session = sql.session()

		self.progress.set_scanning(True)

		retry_failed = settings.get('processing.retry_failed')

		# Query for all unhandled URLs, and submit them before scanning for new Posts.
		unfinished = self._session\
			.query(sql.URL)\
			.filter((sql.URL.processed == False) | (retry_failed and sql.URL.failed == True))\
			.all()
		self._push_url_list(unfinished)

		self._scan_sources()

		self.progress.set_scanning(False)
		# Wait for any remaining ACKS to come in, before closing the writing pipe.
		# ...Until the Downloaders have confirmed completion of everything, more album URLS may come in.
		while len(self._open_ack) > 0 and not self._stop_event.is_set():
			self._handle_acks(timeout=0.5)
		print("Finished loading.")
		sql.close()

	def _scan_sources(self):
		for source in self.sources:
			try:
				self.progress.set_source(source.get_alias())
				for r in source.get_elements():
					if self._stop_event.is_set():
						return
					r.set_source(source)

					# Create the SQL objects, then submit them to the queue.
					post = self._session.query(sql.Post).filter(sql.Post.reddit_id == r.id).first()
					with self._lock:
						if not post:
							post = sql.Post.convert_element_to_post(r)

						urls = self._create_element_urls(r, post)
						for u in urls:
							self._create_url_file(u, post=post)
						self._session.add(post)
						self._session.commit()
					self._push_url_list(urls)
			except ConnectionError as ce:
				print(str(ce).upper())
			# TODO: Log failure.

	def _create_element_urls(self, reddit_element, post):
		"""
		Creates all the *new* URLS in the given RedditElement,
		then returns a list of the new URLs.
		"""
		urls = []
		for u in reddit_element.get_urls():
			if self._session.query(sql.URL.id).filter(sql.URL.address == u).first():
				# These URLS can be skipped, because they are top-level "non-album-file" urls.
				# Album URLs will be resubmitted submitted in a differet method.
				continue
			url = sql.URL.make_url(address=u, post=post, album_key=None, album_order=0)
			urls.append(url)
			self._session.add(url)
			post.urls.append(url)
		return urls

	def _create_album_urls(self, urls, post, album_key):
		""" Generates URL objects for Album URLs. """
		if not post:
			raise ValueError("The given Post does not exist - cannot generate Album URL: %s" % post)
		new_urls = []
		for idx, u in enumerate(urls):
			url = sql.URL.make_url(address=u, post=post, album_key=album_key, album_order=idx+1)
			new_urls.append(url)
			self._session.add(url)
			post.urls.append(url)
		return new_urls

	def _create_url_file(self, url, post, album_size=1):
		"""
		Builds the desired sql.File object for the given sql.URL Object.
		Automatically adds the File object to the URL.
		"""
		filename = name_generator.choose_file_name(url=url, post=post, session=self._session, album_size=album_size)
		file = sql.File(
			path=filename
		)
		self._session.add(file)
		url.file = file

	def count_remaining(self):
		""" Approximate the remaining elements in the queue. """
		return self._queue.qsize()

	def get_reader(self):
		return self._reader

	def get_ack_queue(self):
		return self._ack_queue

	def get_stop_event(self):
		return self._stop_event

	def _push_url_list(self, url_list, handle_acks=True):
		"""
		Submits the list of URLs to the Download Queue.
		:param url_list:
		:param handle_acks:
		:return:
		"""
		for u in url_list:
			if handle_acks:
				self._handle_acks()  # passively process some ACKS in a non-blocking way to prevent queue bloat.
			self.progress.increment_found()
			while not self._stop_event.is_set():
				try:  # Keep trying to add this element to the queue, with a timeout to catch any stop triggers.
					self._queue.put(u.id, timeout=1)
					self._open_ack.add(u.id)  # Replace after testing.
					break
				except queue.Full:
					pass

	def _handle_acks(self, timeout=0):
		"""
		Process an Ack Packet in the queue, if there are any.
		If not, this method will return without blocking - unless `timeout` is set.
		"""
		self.progress.set_queue_size(len(self._open_ack))
		try:
			packet = self._ack_queue.get(block=True, timeout=timeout)
			url = self._session.query(sql.URL).filter(sql.URL.id == packet.url_id).first()
			if packet.extra_urls:
				with self._lock:
					urls = self._create_album_urls(packet.extra_urls, url.post, url.album_id)
					for u in urls:
						self._create_url_file(u, post=url.post, album_size=len(urls))
					url.processed = True  # When the new URLs are committed, also prevent this URL from being reprocessed.
					self._session.commit()
				self._push_url_list(urls, handle_acks=False)
			else:
				with self._lock:
					url.processed = True
					self._session.commit()
			self._open_ack.remove(packet.url_id)
		except queue.Empty:
			pass