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]


/**
 * (C) Copyright 2016-2020 Intel Corporation.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 *
 * GOVERNMENT LICENSE RIGHTS-OPEN SOURCE SOFTWARE
 * The Government's rights to use, modify, reproduce, release, perform, display,
 * or disclose this software are subject to the terms of the Apache License as
 * provided in Contract No. B609815.
 * Any reproduction of computer software, computer software documentation, or
 * portions thereof marked with this legend must also reproduce the markings.
 */
/*
 * This file is part of common DAOS library.
 *
 * common/tse_internal.h
 *
 * DAOS client will use scheduler/task to manage the asynchronous tasks.
 * Tasks will be attached to one scheduler, when scheduler is executed,
 * it will walk through the task list of the scheduler and pick up those
 * ready tasks to executed.
 *
 * Author: Di Wang  <<PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>>
 */

#include <daos/tse.h>

struct tse_task_private {
	struct tse_sched_private	*dtp_sched;

	/* function for the task */
	tse_task_func_t			 dtp_func;

	/* links to user task list like tse_task_list_add/_del etc APIs */
	d_list_t			 dtp_task_list;

	/* links to scheduler */
	d_list_t			 dtp_list;

	/* links to tasks which dependent on it */
	d_list_t			 dtp_dep_list;

	/* daos prepare task callback list */
	d_list_t			 dtp_prep_cb_list;

	/* daos complete task callback list */
	d_list_t			 dtp_comp_cb_list;

	uint32_t			/* task has been completed, no chance to
					 * be re-initialized.
					 */
					 dtp_completed:1,
					/* task is being completed, before those
					 * complete callbacks are being called,
					 * if the task is re-initialized, then
					 * this dtp_completing will be reset
					 * to 0.
					 */
					 dtp_completing:1,
					/* task is in running state */
					 dtp_running:1,
					 dtp_dep_cnt:29;
	/* refcount of the task */
	uint32_t			 dtp_refcnt;
	/**
	 * task parameter pointer, it can be assigned while creating task,
	 * or explicitly call API tse_task_priv_set. User can just use
	 * \a dtp_buf instead of this if parameter structure is enough to
	 * fit in.
	 */
	void				*dtp_priv;
	/**
	 * DAOS internal task parameter pointer.
	 */
	void				*dtp_priv_internal;
	/**
	 * reserved buffer for user to assign embedded parameters, it also can
	 * be used as task stack space that can push/pop parameters to
	 * facilitate I/O handling. The embedded parameter uses buffer from the
	 * bottom, and the stack space grows down from top.
	 *
	 * The sum of dtp_stack_top and dtp_embed_top should not exceed
	 * TSE_TASK_ARG_LEN.
	 */
	uint32_t			 dtp_stack_top;
	uint32_t			 dtp_embed_top;
	char				 dtp_buf[TSE_TASK_ARG_LEN];
};

struct tse_task_cb {
	d_list_t		dtc_list;
	tse_task_cb_t		dtc_cb;
	daos_size_t		dtc_arg_size;
	char			dtc_arg[0];
};

struct tse_sched_private {
	/* lock to protect schedule status and sub task list */
	pthread_mutex_t dsp_lock;

	/* The task will be added to init list when it is initially
	 * added to scheduler.
	 **/
	d_list_t	dsp_init_list;

	/* The task will be moved to complete list after the
	 * complete callback is being executed
	 **/
	d_list_t	dsp_complete_list;

	/**
	 * The task running list.
	 **/
	d_list_t	dsp_running_list;

	/* the list for complete callback */
	d_list_t	dsp_comp_cb_list;

	int		dsp_refcount;

	/* number of tasks being executed */
	int		dsp_inflight;

	uint32_t	dsp_cancelling:1,
			dsp_completing:1;
};

struct tse_sched_comp {
	d_list_t		dsc_list;
	tse_sched_comp_cb_t	dsc_comp_cb;
	void			*dsc_arg;
};


static inline struct tse_task_private *
tse_task2priv(tse_task_t *task)
{
	return (struct tse_task_private *)&task->dt_private;
}

static inline tse_task_t *
tse_priv2task(struct tse_task_private *priv)
{
	return container_of(priv, tse_task_t, dt_private);
}

static inline struct tse_sched_private *
tse_sched2priv(tse_sched_t *sched)
{
	return (struct tse_sched_private *)&sched->ds_private;
}

static inline tse_sched_t *
tse_priv2sched(struct tse_sched_private *priv)
{
	return container_of(priv, tse_sched_t, ds_private);
}