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  ---
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  language: en
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  tags:
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- - llama
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- - llama-3.2
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- - function-calling
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- - instruction-tuning
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  - conversational
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- license: llama2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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- # NazareAI
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  language: en
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  tags:
 
 
 
 
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  - conversational
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+ - python
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+ - programmer
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+ license: llama3
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+ base_model: unsloth/Llama-3.2-3B-Instruct
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+ widget:
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+ - example_title: Python Programmer Example
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+ messages:
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+ - role: system
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+ content: >-
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+ You are a Python Programmer AI, designed to provide code solutions,
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+ technical guidance, and development best practices.
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+ - role: user
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+ content: Create a function to calculate Fibonacci numbers recursively
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+ model-index:
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+ - name: NazareAI-Python-Programmer
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+ results: []
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+ library_name: transformers
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+ datasets:
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+ - 0xroyce/NazareAI-Python-Programmer
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  ---
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+ # NazareAI - Python Programmer
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+
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+ ### Overview
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+ **NazareAI** is redefining the workforce with its **Autonomous AI Workforce** solution—tackling scalability, cost, and efficiency challenges in one fell swoop. This demo spotlights the **Python Programmer** AI, a specialized agent engineered to deliver expert-level coding solutions, technical architecture guidance, and implementation best practices for Python-based projects.
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+
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+ NarazeAI AI Workforce: https://seedgularity.com/nazareai-ai-workforce/
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+
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+ ### Features
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+ - **Technical Expertise**
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+ Draws from comprehensive knowledge of Python programming, design patterns, and software architecture principles.
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+ - **Intelligent Code Generation**
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+ Produces clean, efficient, and well-documented code that follows best practices and industry standards.
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+ - **Problem-Solving Capability**
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+ Analyzes requirements and provides optimal technical solutions while considering performance and scalability.
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+
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+ ### Use Cases
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+ 1. **Application Development**
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+ Build complete Python applications with proper structure, error handling, and documentation.
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+ 2. **Code Optimization**
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+ Analyze existing code and recommend improvements for better performance and maintainability.
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+ 3. **API Development**
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+ Design and implement RESTful APIs using modern Python frameworks like FastAPI or Flask.
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+ 4. **Technical Documentation**
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+ Generate comprehensive documentation including API specs, setup guides, and code documentation.
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+
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+ ## Response Format
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+
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+ NazareAI Python Programmer provides two types of responses:
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+
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+ 1. **Default Mode**: Provides detailed explanations along with the code, including:
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+ - Problem analysis
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+ - Solution approach
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+ - Code explanation
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+ - Implementation considerations
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+ - Best practices and recommendations
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+ - Usage examples
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+
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+ 2. **Code-Only Mode**: When users add `[CODE ONLY]` at the end of their prompt, it provides:
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+ - Clean, production-ready code without explanations
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+ - Necessary comments and docstrings
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+ - Complete implementation focused on the requested functionality
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+
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+ ### Example Interactions
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+
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+ #### Default Mode
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+ ```plaintext
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+ User: Create a function to calculate Fibonacci numbers recursively
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+
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+ AI: To create a recursive function for calculating Fibonacci numbers, we need to understand that the sequence is defined as:
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+ - F(0) = 0
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+ - F(1) = 1
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+ - For n > 1, F(n) = F(n-1) + F(n-2)
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+
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+ Below is a Python implementation of such a function:
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+
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+ ```python
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+ def fibonacci_recursive(n):
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+ """
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+ Calculate the nth Fibonacci number recursively.
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+
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+ Args:
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+ n (int): The index of the Fibonacci sequence (0-indexed).
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+
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+ Returns:
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+ int: The nth Fibonacci number.
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+
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+ Raises:
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+ ValueError: If n is negative or not an integer.
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+ """
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+ # Error handling for invalid input
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+ if not isinstance(n, int):
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+ raise TypeError("Input must be an integer.")
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+ if n < 0:
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+ raise ValueError("Input must be a non-negative integer.")
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+
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+ # Base cases
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+ if n == 0:
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+ return 0
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+ elif n == 1:
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+ return 1
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+
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+ # Recursive case
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+ return fibonacci_recursive(n - 1) + fibonacci_recursive(n - 2)
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+
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+ # Example usage with error handling
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+ if __name__ == "__main__":
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+ try:
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+ print(fibonacci_recursive(10)) # Output: 55 (Fibonacci number at index 10)
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+ print(fibonacci_recursive(-5)) # Raises ValueError
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+ except Exception as e:
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+ print("Error:", e)
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+
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+ ### Key Technical Notes:
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+
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+ 1. **Recursion**: This implementation uses the recursive definition of Fibonacci numbers to calculate each term by adding two preceding terms.
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+
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+ 2. **Time Complexity**: The time complexity for calculating `fibonacci_recursive` is exponential, O(2^n), due to its recursive nature and constant space used per
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+ call (`O(n)`). For large inputs, this can lead to performance issues.
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+
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+ 3. **Space Complexity**: Space usage is also linear in terms of recursion depth (since each function call has a stack frame).
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+
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+ 4. **Memoization or Iteration**: To improve efficiency, consider using memoization or an iterative approach like the "Matrix Exponentiation" method which would
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+ reduce time complexity to O(log n) and space complexity to O(1). Here’s how you could implement it iteratively:
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+
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+ ```python
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+ def fibonacci_iterative(n):
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+ if not isinstance(n, int):
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+ raise TypeError("Input must be an integer.")
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+ if n < 0:
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+ raise ValueError("Input must be a non-negative integer.")
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+
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+ # Initialize variables to store previous two Fibonacci numbers
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+ prev1, prev2 = 0, 1
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+
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+ for _ in range(2, n + 1):
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+ curr = prev1 + prev2
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+ prev1 = prev2
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+ prev2 = curr
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+
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+ return curr
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+
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+ # Example usage with error handling remains unchanged.
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+
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+ This iterative approach is more efficient and suitable for larger inputs while retaining the same functionality as your recursive implementation.
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+ ```
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+
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+ #### Code-Only Mode
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+ ```plaintext
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+ User: Create a function to calculate Fibonacci numbers recursively [CODE ONLY]
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+
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+ AI:
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+ ```python
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+ def fibonacci_recursive(n):
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+ if not isinstance(n, int):
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+ raise TypeError("Input must be an integer.")
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+ if n < 0:
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+ raise ValueError("Input must be a non-negative integer.")
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+
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+ # Base cases
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+ if n == 0:
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+ return 0
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+ elif n == 1:
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+ return 1
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+
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+ # Recursive case
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+ return fibonacci_recursive(n - 1) + fibonacci_recursive(n - 2)
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+ ```