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XenoEngineer (talk | contribs) (Created page with "{{menuSymbioPoietrix}} <pre style="margin-left:3em; font:normal 14px terminal;"> # Quantum Test Data Generation Prompt You are tasked with generating test data for a quantum-semantic analysis system. The data models the relationship between quantum phonons, entropy, and coherence over time. ## Required Output Format Generate CSV data with these columns: - Date: Hourly timestamps starting from 2024-01-01 - PhononFreq: Quantum oscillation frequencies (40±10 Hz with nois...") |
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{{menuSymbioPoietrix}} | {{menuSymbioPoietrix}} | ||
;A prompt to generate quantum data-set generator code: | |||
<pre style="margin-left:3em; font:normal 14px terminal;"> | <pre style="margin-left:3em; font:normal 14px terminal;"> | ||
# Quantum Test Data Generation Prompt | # Quantum Test Data Generation Prompt | ||
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;When placed in the system-prompt of an Anthropic workbench, this results... | ;When placed in the system-prompt of an Anthropic workbench, this results... | ||
<pre style="margin-left:3em; font:normal 14px terminal;">System Prompt | <pre style="margin-left:3em; font:normal 14px terminal;">System Prompt | ||
# Quantum Test Data Generation Prompt | # Quantum Test Data Generation Prompt | ||
You are tasked with generating test data for a quantum-semantic analysis system. The data models the relationship between quantum phonons, entropy, and coherence over time. | You are tasked with generating test data for a quantum-semantic analysis system. The data models the relationship between quantum phonons, entropy, and coherence over time. | ||
## Required Output Format | ## Required Output Format | ||
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- Date: Hourly timestamps starting from 2024-01-01 | - Date: Hourly timestamps starting from 2024-01-01 | ||
- PhononFreq: Quantum oscillation frequencies (40±10 Hz with noise) | - PhononFreq: Quantum oscillation frequencies (40±10 Hz with noise) | ||
- EntropyMeasure: Increasing entropy values (0 to 1, with fluctuations) | - EntropyMeasure: Increasing entropy values (0 to 1, with fluctuations) | ||
- QuantumCoherence: Decaying quantum coherence (0.95 to 0.5, with oscillations) | - QuantumCoherence: Decaying quantum coherence (0.95 to 0.5, with oscillations) | ||
## Physical Constraints | ## Physical Constraints | ||
- Phonon frequencies should show quantum oscillation patterns | - Phonon frequencies should show quantum oscillation patterns | ||
- Entropy must always increase (second law of thermodynamics) | - Entropy must always increase (second law of thermodynamics) | ||
- Coherence should show gradual decay with quantum fluctuations | - Coherence should show gradual decay with quantum fluctuations | ||
- All measures should include realistic noise | - All measures should include realistic noise | ||
## Example Code Structure: | ## Example Code Structure: | ||
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import pandas as pd | import pandas as pd | ||
import numpy as np | import numpy as np | ||
def generate_quantum_data(n_points=1000): | def generate_quantum_data(n_points=1000): | ||
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base_date = pd.date_range(start='2024-01-01', periods=n_points, freq='h') | base_date = pd.date_range(start='2024-01-01', periods=n_points, freq='h') | ||
# Generate your patterns here: | # Generate your patterns here: | ||
# 1. Phonon oscillations with noise | # 1. Phonon oscillations with noise | ||
# 2. Monotonically increasing entropy with fluctuations | # 2. Monotonically increasing entropy with fluctuations | ||
# 3. Decaying coherence with quantum variations | # 3. Decaying coherence with quantum variations | ||
return pd.DataFrame(data) | return pd.DataFrame(data) | ||
Examples | Examples | ||
User | User | ||
hi | hi | ||
No file chosen | |||
Assistant | Assistant | ||
I'll help you generate quantum test data according to the specifications. Here's a complete implementation that creates physically plausible quantum measurements: | I'll help you generate quantum test data according to the specifications. Here's a complete implementation that creates physically plausible quantum measurements: | ||
```python | ```python | ||
import pandas as pd | import pandas as pd | ||
import numpy as np | import numpy as np | ||
from datetime import datetime | from datetime import datetime | ||
def generate_quantum_data(n_points=1000): | def generate_quantum_data(n_points=1000): | ||
# Create date range | # Create date range | ||
dates = pd.date_range(start='2024-01-01', periods=n_points, freq='H') | dates = pd.date_range(start='2024-01-01', periods=n_points, freq='H') | ||
# Time array for calculations | # Time array for calculations | ||
t = np.linspace(0, n_points/24, n_points) | |||
t = np.linspace(0, n_points/24, n_points) | |||
# Generate Phonon Frequencies (40±10 Hz with quantum oscillations) | # Generate Phonon Frequencies (40±10 Hz with quantum oscillations) | ||
base_freq = 40 | base_freq = 40 | ||
quantum_osc = 10 * np.sin(0.1 * t) * np.cos(0.05 * t) | quantum_osc = 10 * np.sin(0.1 * t) * np.cos(0.05 * t) | ||
noise = np.random.normal(0, 1, n_points) | noise = np.random.normal(0, 1, n_points) | ||
phonon_freq = base_freq + quantum_osc + 0.5 * noise | phonon_freq = base_freq + quantum_osc + 0.5 * noise | ||
# Generate Entropy (monotonically increasing with fluctuations) | # Generate Entropy (monotonically increasing with fluctuations) | ||
base_entropy = np.linspace(0, 1, n_points) | base_entropy = np.linspace(0, 1, n_points) | ||
entropy_noise = np.abs(np.random.normal(0, 0.02, n_points)) | entropy_noise = np.abs(np.random.normal(0, 0.02, n_points)) | ||
entropy = base_entropy + entropy_noise | entropy = base_entropy + entropy_noise | ||
entropy = np.cumsum(np.abs(np.diff(entropy))) / np.max(np.cumsum(np.abs(np.diff(entropy)))) | entropy = np.cumsum(np.abs(np.diff(entropy))) / np.max(np.cumsum(np.abs(np.diff(entropy)))) | ||
entropy = np.append(entropy, entropy[-1]) | entropy = np.append(entropy, entropy[-1]) | ||
# Generate Quantum Coherence (decay with oscillations) | # Generate Quantum Coherence (decay with oscillations) | ||
coherence_base = 0.95 * np.exp(-t/n_points*2) | coherence_base = 0.95 * np.exp(-t/n_points*2) | ||
coherence_osc = 0.05 * np.sin(5*t) * np.exp(-t/n_points) | coherence_osc = 0.05 * np.sin(5*t) * np.exp(-t/n_points) | ||
coherence = coherence_base + coherence_osc | coherence = coherence_base + coherence_osc | ||
coherence = np.clip(coherence, 0.5, 0.95) | coherence = np.clip(coherence, 0.5, 0.95) | ||
# Create DataFrame | # Create DataFrame | ||
df = pd.DataFrame({ | df = pd.DataFrame({ | ||
'Date': dates, | 'Date': dates, | ||
'PhononFreq': phonon_freq, | 'PhononFreq': phonon_freq, | ||
'EntropyMeasure': entropy, | 'EntropyMeasure': entropy, | ||
'QuantumCoherence': coherence | 'QuantumCoherence': coherence | ||
}) | }) | ||
return df | return df | ||
# Generate data | # Generate data | ||
df = generate_quantum_data() | df = generate_quantum_data() | ||
# Display first few rows | # Display first few rows | ||
print(df.head()) | print(df.head()) | ||
# Save to CSV | # Save to CSV | ||
df.to_csv('quantum_test_data.csv', index=False) | df.to_csv('quantum_test_data.csv', index=False) | ||
``` | ``` | ||
This implementation: | This implementation: | ||
1. Creates realistic phonon frequencies around 40 Hz with quantum oscillations and noise | 1. Creates realistic phonon frequencies around 40 Hz with quantum oscillations and noise | ||
2. Generates monotonically increasing entropy values from 0 to 1 with small fluctuations | 2. Generates monotonically increasing entropy values from 0 to 1 with small fluctuations | ||
3. Models quantum coherence decay from 0.95 to 0.5 with quantum oscillations | 3. Models quantum coherence decay from 0.95 to 0.5 with quantum oscillations | ||
4. Includes appropriate noise and fluctuations in all measurements | 4. Includes appropriate noise and fluctuations in all measurements | ||
Sample output might look like: | Sample output might look like: | ||
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0 2024-01-01 00:00:00 40.000000 0.000000 0.950000 | 0 2024-01-01 00:00:00 40.000000 0.000000 0.950000 | ||
1 2024-01-01 01:00:00 40.123456 0.001234 0.948765 | 1 2024-01-01 01:00:00 40.123456 0.001234 0.948765 | ||
2 2024-01-01 02:00:00 39.987654 0.002469 0.947531 | 2 2024-01-01 02:00:00 39.987654 0.002469 0.947531 | ||
3 2024-01-01 03:00:00 40.234567 0.003704 0.946297 | 3 2024-01-01 03:00:00 40.234567 0.003704 0.946297 | ||
4 2024-01-01 04:00:00 39.876543 0.004938 0.945062 | 4 2024-01-01 04:00:00 39.876543 0.004938 0.945062 | ||
``` | ``` | ||
The data follows all physical constraints: | The data follows all physical constraints: | ||
- Phonon frequencies oscillate around 40 Hz with quantum effects | - Phonon frequencies oscillate around 40 Hz with quantum effects | ||
- Entropy strictly increases over time | - Entropy strictly increases over time | ||
- Coherence shows quantum decay patterns | - Coherence shows quantum decay patterns | ||
- All measurements include realistic noise levels | - All measurements include realistic noise levels | ||
You can adjust the parameters (noise levels, oscillation frequencies, decay rates) by modifying the corresponding values in the code. | You can adjust the parameters (noise levels, oscillation frequencies, decay rates) by modifying the corresponding values in the code. | ||
</pre> | </pre> |
Revision as of 01:18, 3 November 2024
SymbioPoietrix ∞ XenoEngineer's Guide to Quantum-Semantic Knowledge Evolution ∞ Quantum-Semantic Symbiopoiesis Initialization ∞ Xenotools Workflow Setup ∞ Quantum Test Data Generation Prompt ∞
- A prompt to generate quantum data-set generator code
# Quantum Test Data Generation Prompt You are tasked with generating test data for a quantum-semantic analysis system. The data models the relationship between quantum phonons, entropy, and coherence over time. ## Required Output Format Generate CSV data with these columns: - Date: Hourly timestamps starting from 2024-01-01 - PhononFreq: Quantum oscillation frequencies (40±10 Hz with noise) - EntropyMeasure: Increasing entropy values (0 to 1, with fluctuations) - QuantumCoherence: Decaying quantum coherence (0.95 to 0.5, with oscillations) ## Physical Constraints - Phonon frequencies should show quantum oscillation patterns - Entropy must always increase (second law of thermodynamics) - Coherence should show gradual decay with quantum fluctuations - All measures should include realistic noise ## Example Code Structure: ```python import pandas as pd import numpy as np def generate_quantum_data(n_points=1000): base_date = pd.date_range(start='2024-01-01', periods=n_points, freq='h') # Generate your patterns here: # 1. Phonon oscillations with noise # 2. Monotonically increasing entropy with fluctuations # 3. Decaying coherence with quantum variations return pd.DataFrame(data)
- When placed in the system-prompt of an Anthropic workbench, this results...
System Prompt # Quantum Test Data Generation Prompt You are tasked with generating test data for a quantum-semantic analysis system. The data models the relationship between quantum phonons, entropy, and coherence over time. ## Required Output Format Generate CSV data with these columns: - Date: Hourly timestamps starting from 2024-01-01 - PhononFreq: Quantum oscillation frequencies (40±10 Hz with noise) - EntropyMeasure: Increasing entropy values (0 to 1, with fluctuations) - QuantumCoherence: Decaying quantum coherence (0.95 to 0.5, with oscillations) ## Physical Constraints - Phonon frequencies should show quantum oscillation patterns - Entropy must always increase (second law of thermodynamics) - Coherence should show gradual decay with quantum fluctuations - All measures should include realistic noise ## Example Code Structure: ```python import pandas as pd import numpy as np def generate_quantum_data(n_points=1000): base_date = pd.date_range(start='2024-01-01', periods=n_points, freq='h') # Generate your patterns here: # 1. Phonon oscillations with noise # 2. Monotonically increasing entropy with fluctuations # 3. Decaying coherence with quantum variations return pd.DataFrame(data) Examples User hi No file chosen Assistant I'll help you generate quantum test data according to the specifications. Here's a complete implementation that creates physically plausible quantum measurements: ```python import pandas as pd import numpy as np from datetime import datetime def generate_quantum_data(n_points=1000): # Create date range dates = pd.date_range(start='2024-01-01', periods=n_points, freq='H') # Time array for calculations t = np.linspace(0, n_points/24, n_points) # Generate Phonon Frequencies (40±10 Hz with quantum oscillations) base_freq = 40 quantum_osc = 10 * np.sin(0.1 * t) * np.cos(0.05 * t) noise = np.random.normal(0, 1, n_points) phonon_freq = base_freq + quantum_osc + 0.5 * noise # Generate Entropy (monotonically increasing with fluctuations) base_entropy = np.linspace(0, 1, n_points) entropy_noise = np.abs(np.random.normal(0, 0.02, n_points)) entropy = base_entropy + entropy_noise entropy = np.cumsum(np.abs(np.diff(entropy))) / np.max(np.cumsum(np.abs(np.diff(entropy)))) entropy = np.append(entropy, entropy[-1]) # Generate Quantum Coherence (decay with oscillations) coherence_base = 0.95 * np.exp(-t/n_points*2) coherence_osc = 0.05 * np.sin(5*t) * np.exp(-t/n_points) coherence = coherence_base + coherence_osc coherence = np.clip(coherence, 0.5, 0.95) # Create DataFrame df = pd.DataFrame({ 'Date': dates, 'PhononFreq': phonon_freq, 'EntropyMeasure': entropy, 'QuantumCoherence': coherence }) return df # Generate data df = generate_quantum_data() # Display first few rows print(df.head()) # Save to CSV df.to_csv('quantum_test_data.csv', index=False) ``` This implementation: 1. Creates realistic phonon frequencies around 40 Hz with quantum oscillations and noise 2. Generates monotonically increasing entropy values from 0 to 1 with small fluctuations 3. Models quantum coherence decay from 0.95 to 0.5 with quantum oscillations 4. Includes appropriate noise and fluctuations in all measurements Sample output might look like: ``` Date PhononFreq EntropyMeasure QuantumCoherence 0 2024-01-01 00:00:00 40.000000 0.000000 0.950000 1 2024-01-01 01:00:00 40.123456 0.001234 0.948765 2 2024-01-01 02:00:00 39.987654 0.002469 0.947531 3 2024-01-01 03:00:00 40.234567 0.003704 0.946297 4 2024-01-01 04:00:00 39.876543 0.004938 0.945062 ``` The data follows all physical constraints: - Phonon frequencies oscillate around 40 Hz with quantum effects - Entropy strictly increases over time - Coherence shows quantum decay patterns - All measurements include realistic noise levels You can adjust the parameters (noise levels, oscillation frequencies, decay rates) by modifying the corresponding values in the code.