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]


from __future__ import print_function
import collections
import itertools
import json
import os
import os.path
import re
import shutil
import string
import subprocess
import sys
import cgi

class BuildDesc:
    def __init__(self, prepend_envs=None, variables=None, build_type=None, generator=None):
        self.prepend_envs = prepend_envs or [] # [ { "var": "value" } ]
        self.variables = variables or []
        self.build_type = build_type
        self.generator = generator

    def merged_with(self, build_desc):
        """Returns a new BuildDesc by merging field content.
           Prefer build_desc fields to self fields for single valued field.
        """
        return BuildDesc(self.prepend_envs + build_desc.prepend_envs,
                          self.variables + build_desc.variables,
                          build_desc.build_type or self.build_type,
                          build_desc.generator or self.generator)

    def env(self):
        environ = os.environ.copy()
        for values_by_name in self.prepend_envs:
            for var, value in list(values_by_name.items()):
                var = var.upper()
                if type(value) is unicode:
                    value = value.encode(sys.getdefaultencoding())
                if var in environ:
                    environ[var] = value + os.pathsep + environ[var]
                else:
                    environ[var] = value
        return environ

    def cmake_args(self):
        args = ["-D%s" % var for var in self.variables]
        # skip build type for Visual Studio solution as it cause warning
        if self.build_type and 'Visual' not in self.generator:
            args.append("-DCMAKE_BUILD_TYPE=%s" % self.build_type)
        if self.generator:
            args.extend(['-G', self.generator])
        return args

    def __repr__(self):
        return "BuildDesc(%s, build_type=%s)" %  (" ".join(self.cmake_args()), self.build_type)

class BuildData:
    def __init__(self, desc, work_dir, source_dir):
        self.desc = desc
        self.work_dir = work_dir
        self.source_dir = source_dir
        self.cmake_log_path = os.path.join(work_dir, 'batchbuild_cmake.log')
        self.build_log_path = os.path.join(work_dir, 'batchbuild_build.log')
        self.cmake_succeeded = False
        self.build_succeeded = False

    def execute_build(self):
        print('Build %s' % self.desc)
        self._make_new_work_dir()
        self.cmake_succeeded = self._generate_makefiles()
        if self.cmake_succeeded:
            self.build_succeeded = self._build_using_makefiles()
        return self.build_succeeded

    def _generate_makefiles(self):
        print('  Generating makefiles: ', end=' ')
        cmd = ['cmake'] + self.desc.cmake_args() + [os.path.abspath(self.source_dir)]
        succeeded = self._execute_build_subprocess(cmd, self.desc.env(), self.cmake_log_path)
        print('done' if succeeded else 'FAILED')
        return succeeded

    def _build_using_makefiles(self):
        print('  Building:', end=' ')
        cmd = ['cmake', '--build', self.work_dir]
        if self.desc.build_type:
            cmd += ['--config', self.desc.build_type]
        succeeded = self._execute_build_subprocess(cmd, self.desc.env(), self.build_log_path)
        print('done' if succeeded else 'FAILED')
        return succeeded

    def _execute_build_subprocess(self, cmd, env, log_path):
        process = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, cwd=self.work_dir,
                                    env=env)
        stdout, _ = process.communicate()
        succeeded = (process.returncode == 0)
        with open(log_path, 'wb') as flog:
            log = ' '.join(cmd) + '\n' + stdout + '\nExit code: %r\n' % process.returncode
            flog.write(fix_eol(log))
        return succeeded

    def _make_new_work_dir(self):
        if os.path.isdir(self.work_dir):
            print('  Removing work directory', self.work_dir)
            shutil.rmtree(self.work_dir, ignore_errors=True)
        if not os.path.isdir(self.work_dir):
            os.makedirs(self.work_dir)

def fix_eol(stdout):
    """Fixes wrong EOL produced by cmake --build on Windows (\r\r\n instead of \r\n).
    """
    return re.sub('\r*\n', os.linesep, stdout)

def load_build_variants_from_config(config_path):
    with open(config_path, 'rb') as fconfig:
        data = json.load(fconfig)
    variants = data[ 'cmake_variants' ]
    build_descs_by_axis = collections.defaultdict(list)
    for axis in variants:
        axis_name = axis["name"]
        build_descs = []
        if "generators" in axis:
            for generator_data in axis["generators"]:
                for generator in generator_data["generator"]:
                    build_desc = BuildDesc(generator=generator,
                                            prepend_envs=generator_data.get("env_prepend"))
                    build_descs.append(build_desc)
        elif "variables" in axis:
            for variables in axis["variables"]:
                build_desc = BuildDesc(variables=variables)
                build_descs.append(build_desc)
        elif "build_types" in axis:
            for build_type in axis["build_types"]:
                build_desc = BuildDesc(build_type=build_type)
                build_descs.append(build_desc)
        build_descs_by_axis[axis_name].extend(build_descs)
    return build_descs_by_axis

def generate_build_variants(build_descs_by_axis):
    """Returns a list of BuildDesc generated for the partial BuildDesc for each axis."""
    axis_names = list(build_descs_by_axis.keys())
    build_descs = []
    for axis_name, axis_build_descs in list(build_descs_by_axis.items()):
        if len(build_descs):
            # for each existing build_desc and each axis build desc, create a new build_desc
            new_build_descs = []
            for prototype_build_desc, axis_build_desc in itertools.product(build_descs, axis_build_descs):
                new_build_descs.append(prototype_build_desc.merged_with(axis_build_desc))
            build_descs = new_build_descs
        else:
            build_descs = axis_build_descs
    return build_descs

HTML_TEMPLATE = string.Template('''<html>
<head>
    <title>$title</title>
    <style type="text/css">
    td.failed {background-color:#f08080;}
    td.ok {background-color:#c0eec0;}
    </style>
</head>
<body>
<table border="1">
<thead>
    <tr>
        <th>Variables</th>
        $th_vars
    </tr>
    <tr>
        <th>Build type</th>
        $th_build_types
    </tr>
</thead>
<tbody>
$tr_builds
</tbody>
</table>
</body></html>''')

def generate_html_report(html_report_path, builds):
    report_dir = os.path.dirname(html_report_path)
    # Vertical axis: generator
    # Horizontal: variables, then build_type
    builds_by_generator = collections.defaultdict(list)
    variables = set()
    build_types_by_variable = collections.defaultdict(set)
    build_by_pos_key = {} # { (generator, var_key, build_type): build }
    for build in builds:
        builds_by_generator[build.desc.generator].append(build)
        var_key = tuple(sorted(build.desc.variables))
        variables.add(var_key)
        build_types_by_variable[var_key].add(build.desc.build_type)
        pos_key = (build.desc.generator, var_key, build.desc.build_type)
        build_by_pos_key[pos_key] = build
    variables = sorted(variables)
    th_vars = []
    th_build_types = []
    for variable in variables:
        build_types = sorted(build_types_by_variable[variable])
        nb_build_type = len(build_types_by_variable[variable])
        th_vars.append('<th colspan="%d">%s</th>' % (nb_build_type, cgi.escape(' '.join(variable))))
        for build_type in build_types:
            th_build_types.append('<th>%s</th>' % cgi.escape(build_type))
    tr_builds = []
    for generator in sorted(builds_by_generator):
        tds = [ '<td>%s</td>\n' % cgi.escape(generator) ]
        for variable in variables:
            build_types = sorted(build_types_by_variable[variable])
            for build_type in build_types:
                pos_key = (generator, variable, build_type)
                build = build_by_pos_key.get(pos_key)
                if build:
                    cmake_status = 'ok' if build.cmake_succeeded else 'FAILED'
                    build_status = 'ok' if build.build_succeeded else 'FAILED'
                    cmake_log_url = os.path.relpath(build.cmake_log_path, report_dir)
                    build_log_url = os.path.relpath(build.build_log_path, report_dir)
                    td = '<td class="%s"><a href="%s" class="%s">CMake: %s</a>' % (                        build_status.lower(), cmake_log_url, cmake_status.lower(), cmake_status)
                    if build.cmake_succeeded:
                        td += '<br><a href="%s" class="%s">Build: %s</a>' % (                            build_log_url, build_status.lower(), build_status)
                    td += '</td>'
                else:
                    td = '<td></td>'
                tds.append(td)
        tr_builds.append('<tr>%s</tr>' % '\n'.join(tds))
    html = HTML_TEMPLATE.substitute(        title='Batch build report',
        th_vars=' '.join(th_vars),
        th_build_types=' '.join(th_build_types),
        tr_builds='\n'.join(tr_builds))
    with open(html_report_path, 'wt') as fhtml:
        fhtml.write(html)
    print('HTML report generated in:', html_report_path)

def main():
    usage = r"""%prog WORK_DIR SOURCE_DIR CONFIG_JSON_PATH [CONFIG2_JSON_PATH...]
Build a given CMake based project located in SOURCE_DIR with multiple generators/options.dry_run
as described in CONFIG_JSON_PATH building in WORK_DIR.

Example of call:
python devtools\batchbuild.py e:\buildbots\jsoncpp\build . devtools\agent_vmw7.json
"""
    from optparse import OptionParser
    parser = OptionParser(usage=usage)
    parser.allow_interspersed_args = True
#    parser.add_option('-v', '--verbose', dest="verbose", action='store_true',
#        help="""Be verbose.""")
    parser.enable_interspersed_args()
    options, args = parser.parse_args()
    if len(args) < 3:
        parser.error("Missing one of WORK_DIR SOURCE_DIR CONFIG_JSON_PATH.")
    work_dir = args[0]
    source_dir = args[1].rstrip('/\\')
    config_paths = args[2:]
    for config_path in config_paths:
        if not os.path.isfile(config_path):
            parser.error("Can not read: %r" % config_path)

    # generate build variants
    build_descs = []
    for config_path in config_paths:
        build_descs_by_axis = load_build_variants_from_config(config_path)
        build_descs.extend(generate_build_variants(build_descs_by_axis))
    print('Build variants (%d):' % len(build_descs))
    # assign build directory for each variant
    if not os.path.isdir(work_dir):
        os.makedirs(work_dir)
    builds = []
    with open(os.path.join(work_dir, 'matrix-dir-map.txt'), 'wt') as fmatrixmap:
        for index, build_desc in enumerate(build_descs):
            build_desc_work_dir = os.path.join(work_dir, '%03d' % (index+1))
            builds.append(BuildData(build_desc, build_desc_work_dir, source_dir))
            fmatrixmap.write('%s: %s\n' % (build_desc_work_dir, build_desc))
    for build in builds:
        build.execute_build()
    html_report_path = os.path.join(work_dir, 'batchbuild-report.html')
    generate_html_report(html_report_path, builds)
    print('Done')


if __name__ == '__main__':
    main()