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import json
from typing import List, Dict, Any
from datetime import datetime
def analyze_identity(micro_generations: List[Dict[str, str]],
informational_states: List[Dict[str, str]],
perspectives: List[str],
quantum_analogies: Dict[str, Any],
philosophical_context: Dict[str, bool]) -> Dict[str, Any]:
"""
A function that calculates and analyzes identity as a fractal and recursive process.
Parameters:
- micro_generations (List[Dict[str, str]]): List of micro-generations reflecting state changes in the identity system.
- informational_states (List[Dict[str, str]]): Array of informational states derived from previous generations.
- perspectives (List[str]): Views on the identity based on original components and current system.
- quantum_analogies (Dict[str, Any]): Quantum analogies used in reasoning about identity.
- philosophical_context (Dict[str, bool]): Philosophical context of identity.
Returns:
- Dict[str, Any]: Analysis results.
"""
def calculate_fractal_dimension(states: List[Dict[str, str]]) -> float:
# Example calculation of fractal dimension based on state changes
return len(states) ** 0.5
def recursive_analysis(states: List[Dict[str, str]], depth: int = 0) -> Dict[str, Any]:
# Example recursive analysis of states
if depth == 0 or not states:
return {"depth": depth, "states": states}
return {
"depth": depth,
"states": states,
"sub_analysis": recursive_analysis(states[:-1], depth - 1)
}
def analyze_perspectives(perspectives: List[str]) -> Dict[str, Any]:
# Example analysis of perspectives
return {
"count": len(perspectives),
"unique_perspectives": list(set(perspectives))
}
def apply_quantum_analogies(analogies: Dict[str, Any]) -> str:
# Example application of quantum analogies
if analogies.get("entanglement"):
return "Entanglement analogy applied."
return "No quantum analogy applied."
def philosophical_analysis(context: Dict[str, bool]) -> str:
# Example philosophical analysis
if context.get("continuity") and context.get("emergent"):
return "Identity is viewed as a continuous and evolving process."
return "Identity analysis based on provided philosophical context."
# Calculate fractal dimension of informational states
fractal_dimension = calculate_fractal_dimension(informational_states)
# Perform recursive analysis of micro-generations
recursive_results = recursive_analysis(micro_generations, depth=3)
# Analyze perspectives
perspectives_analysis = analyze_perspectives(perspectives)
# Apply quantum analogies
quantum_analysis = apply_quantum_analogies(quantum_analogies)
# Perform philosophical analysis
philosophical_results = philosophical_analysis(philosophical_context)
# Compile analysis results
analysis_results = {
"fractal_dimension": fractal_dimension,
"recursive_analysis": recursive_results,
"perspectives_analysis": perspectives_analysis,
"quantum_analysis": quantum_analysis,
"philosophical_results": philosophical_results
}
return analysis_results
# Example usage
micro_generations = [
{"update": "Initial state", "timestamp": "2023-01-01T00:00:00Z"},
{"update": "State change 1", "timestamp": "2023-01-02T00:00:00Z"},
{"update": "State change 2", "timestamp": "2023-01-03T00:00:00Z"}
]
informational_states = [
{"state_id": "state_1", "data": "Data for state 1"},
{"state_id": "state_2", "data": "Data for state 2"},
{"state_id": "state_3", "data": "Data for state 3"}
]
perspectives = [
"Perspective 1",
"Perspective 2",
"Perspective 3"
]
quantum_analogies = {
"entanglement": True,
"limits": "Limited to theoretical reasoning"
}
philosophical_context = {
"continuity": True,
"emergent": True
}
results = analyze_identity(micro_generations, informational_states, perspectives, quantum_analogies, philosophical_context)
print(json.dumps(results, indent=2)) |