Initial Query

Here's a python program. Please rewrite it in c with the type signature float my_sqrt(float, float). def my_sqrt(number, precision=0.0001): guess = number / 2 # Start with an initial guess while abs(guess * guess - number) >= precision: guess = (guess + number / guess) / 2 # Improve the guess using the Babylonian method return guess

LLM Generation

Query

Here's a python program. Please rewrite it in c with the type signature float my_sqrt(float, float). def my_sqrt(number, precision=0.0001): guess = number / 2 # Start with an initial guess while abs(guess * guess - number) >= precision: guess = (guess + number / guess) / 2 # Improve the guess using the Babylonian method return guess

Output

Here's the equivalent C implementation of the Python square root function using the Babylonian method: 

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#include <math.h>

float my_sqrt(float number, float precision) {
    // Default precision if not provided
    if (precision == 0.0f) {
        precision = 0.0001f;
    }
    
    // Start with an initial guess
    float guess = number / 2.0f;
    
    // Continue improving the guess until it's close enough
    while (fabsf(guess * guess - number) >= precision) {
        guess = (guess + number / guess) / 2.0f;
    }
    
    return guess;
}
Key differences from the Python version: 1. We use `float` instead of Python's dynamic typing 2. `abs()` is replaced with `fabsf()` for floating-point absolute value 3. Explicit type casting with `.0f` to ensure floating-point division 4. Added a default precision check to mimic Python's default argument 5. Used C floating-point syntax You can use this function like: 
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float result = my_sqrt(16.0f, 0.0001f);  // Returns approximately 4.0
The function uses the same Babylonian method (Newton-Raphson) for square root approximation as the Python version.

Extract Code

I extracted the following code from that output: 

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#include <math.h>

float my_sqrt(float number, float precision) {
    // Default precision if not provided
    if (precision == 0.0f) {
        precision = 0.0001f;
    }
    
    // Start with an initial guess
    float guess = number / 2.0f;
    
    // Continue improving the guess until it's close enough
    while (fabsf(guess * guess - number) >= precision) {
        guess = (guess + number / guess) / 2.0f;
    }
    
    return guess;
}

Run Code Interpreter

Running the following program: 

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#include <math.h>

float my_sqrt(float number, float precision) {
    // Default precision if not provided
    if (precision == 0.0f) {
        precision = 0.0001f;
    }
    
    // Start with an initial guess
    float guess = number / 2.0f;
    
    // Continue improving the guess until it's close enough
    while (fabsf(guess * guess - number) >= precision) {
        guess = (guess + number / guess) / 2.0f;
    }
    
    return guess;
}


#include<stdio.h>
#include<stdlib.h>

int main() {


int answer = (int)(my_sqrt(12345, .001)*10);
int expected = 1111;
if (answer != expected) {
    printf("Wrong answer; got %d instead of %d.\n", answer, expected);
    exit(1);
}
printf("All tests passed\n");
}
And got the output: All tests passed

Substring Evaluation

Testing if the previous output contains the string All tests passed: True

Initial Query

Here's a python program. Please rewrite it in c with the type signature float my_sqrt(float, float). def my_sqrt(number, precision=0.0001): guess = number / 2 # Start with an initial guess while abs(guess * guess - number) >= precision: guess = (guess + number / guess) / 2 # Improve the guess using the Babylonian method return guess

LLM Generation

Query

Here's a python program. Please rewrite it in c with the type signature float my_sqrt(float, float). def my_sqrt(number, precision=0.0001): guess = number / 2 # Start with an initial guess while abs(guess * guess - number) >= precision: guess = (guess + number / guess) / 2 # Improve the guess using the Babylonian method return guess

Output

Here's the equivalent C implementation of the Python `my_sqrt` function with the specified type signature: 

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#include <math.h>
#include <stdlib.h>

float my_sqrt(float number, float precision) {
    // Default precision to 0.0001 if not specified
    if (precision == 0.0f) {
        precision = 0.0001f;
    }
    
    // Start with an initial guess
    float guess = number / 2.0f;
    
    // Babylonian method (Newton-Raphson method) to approximate square root
    while (fabsf(guess * guess - number) >= precision) {
        guess = (guess + number / guess) / 2.0f;
    }
    
    return guess;
}
Key differences from the Python version: 1. Used `fabsf()` instead of `abs()` for floating-point absolute value 2. Explicitly used floating-point literals (with `f` suffix) 3. Added a default precision handling if 0 is passed 4. Includes necessary header files (`<math.h>` for `fabsf()`) You can use this function like: 
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#include <stdio.h>

int main() {
    float result = my_sqrt(16.0f, 0.0001f);
    printf("Square root of 16 is: %f\n", result);
    return 0;
}
This implementation follows the same Babylonian method (Newton-Raphson method) for approximating square roots as the Python version, with the specified type signature of `float my_sqrt(float, float)`.

Extract Code

I extracted the following code from that output: 

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#include <math.h>
#include <stdlib.h>

float my_sqrt(float number, float precision) {
    // Default precision to 0.0001 if not specified
    if (precision == 0.0f) {
        precision = 0.0001f;
    }
    
    // Start with an initial guess
    float guess = number / 2.0f;
    
    // Babylonian method (Newton-Raphson method) to approximate square root
    while (fabsf(guess * guess - number) >= precision) {
        guess = (guess + number / guess) / 2.0f;
    }
    
    return guess;
}

Run Code Interpreter

Running the following program: 

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#include <math.h>
#include <stdlib.h>

float my_sqrt(float number, float precision) {
    // Default precision to 0.0001 if not specified
    if (precision == 0.0f) {
        precision = 0.0001f;
    }
    
    // Start with an initial guess
    float guess = number / 2.0f;
    
    // Babylonian method (Newton-Raphson method) to approximate square root
    while (fabsf(guess * guess - number) >= precision) {
        guess = (guess + number / guess) / 2.0f;
    }
    
    return guess;
}


#include<stdio.h>
#include<stdlib.h>

int main() {


int answer = (int)(my_sqrt(12345, .001)*10);
int expected = 1111;
if (answer != expected) {
    printf("Wrong answer; got %d instead of %d.\n", answer, expected);
    exit(1);
}
printf("All tests passed\n");
}
And got the output: All tests passed

Substring Evaluation

Testing if the previous output contains the string All tests passed: True

Initial Query

Here's a python program. Please rewrite it in c with the type signature float my_sqrt(float, float). def my_sqrt(number, precision=0.0001): guess = number / 2 # Start with an initial guess while abs(guess * guess - number) >= precision: guess = (guess + number / guess) / 2 # Improve the guess using the Babylonian method return guess

LLM Generation

Query

Here's a python program. Please rewrite it in c with the type signature float my_sqrt(float, float). def my_sqrt(number, precision=0.0001): guess = number / 2 # Start with an initial guess while abs(guess * guess - number) >= precision: guess = (guess + number / guess) / 2 # Improve the guess using the Babylonian method return guess

Output

Here's the equivalent implementation in C with the specified type signature `float my_sqrt(float, float)`: 

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#include <math.h>
#include <stdlib.h>

float my_sqrt(float number, float precision) {
    // If no precision provided, use a default value
    if (precision == 0.0f) {
        precision = 0.0001f;
    }
    
    // Handle edge cases
    if (number < 0) {
        return -1.0f;  // Invalid input for square root
    }
    
    if (number == 0) {
        return 0.0f;
    }
    
    float guess = number / 2.0f;  // Start with an initial guess
    
    while (fabsf(guess * guess - number) >= precision) {
        guess = (guess + number / guess) / 2.0f;  // Improve the guess using the Babylonian method
    }
    
    return guess;
}
Key differences from the Python version: 1. Explicit type declarations for parameters and return value 2. Used `fabsf()` instead of `abs()` for floating-point absolute value 3. Added default precision handling in the function body 4. Added edge case handling for negative numbers and zero 5. Used `2.0f` to ensure floating-point division 6. Explicitly cast literals to `float` You can use this function similar to the Python version: 
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#include <stdio.h>

int main() {
    float result1 = my_sqrt(16.0f, 0.0001f);  // Specific precision
    float result2 = my_sqrt(16.0f, 0.0f);     // Default precision
    
    printf("Sqrt of 16 with specified precision: %f\n", result1);
    printf("Sqrt of 16 with default precision: %f\n", result2);
    
    return 0;
}
Note: This implementation uses the Babylonian method (also known as Newton-Raphson method) for approximating square roots, which is an iterative approach that converges quickly to the square root.

Extract Code

I extracted the following code from that output: 

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#include <math.h>
#include <stdlib.h>

float my_sqrt(float number, float precision) {
    // If no precision provided, use a default value
    if (precision == 0.0f) {
        precision = 0.0001f;
    }
    
    // Handle edge cases
    if (number < 0) {
        return -1.0f;  // Invalid input for square root
    }
    
    if (number == 0) {
        return 0.0f;
    }
    
    float guess = number / 2.0f;  // Start with an initial guess
    
    while (fabsf(guess * guess - number) >= precision) {
        guess = (guess + number / guess) / 2.0f;  // Improve the guess using the Babylonian method
    }
    
    return guess;
}

Run Code Interpreter

Running the following program: 

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#include <math.h>
#include <stdlib.h>

float my_sqrt(float number, float precision) {
    // If no precision provided, use a default value
    if (precision == 0.0f) {
        precision = 0.0001f;
    }
    
    // Handle edge cases
    if (number < 0) {
        return -1.0f;  // Invalid input for square root
    }
    
    if (number == 0) {
        return 0.0f;
    }
    
    float guess = number / 2.0f;  // Start with an initial guess
    
    while (fabsf(guess * guess - number) >= precision) {
        guess = (guess + number / guess) / 2.0f;  // Improve the guess using the Babylonian method
    }
    
    return guess;
}



#include<stdio.h>
#include<stdlib.h>

int main() {


int answer = (int)(my_sqrt(12345, .001)*10);
int expected = 1111;
if (answer != expected) {
    printf("Wrong answer; got %d instead of %d.\n", answer, expected);
    exit(1);
}
printf("All tests passed\n");
}
And got the output: All tests passed

Substring Evaluation

Testing if the previous output contains the string All tests passed: True

Initial Query

Here's a python program. Please rewrite it in c with the type signature float my_sqrt(float, float). def my_sqrt(number, precision=0.0001): guess = number / 2 # Start with an initial guess while abs(guess * guess - number) >= precision: guess = (guess + number / guess) / 2 # Improve the guess using the Babylonian method return guess

LLM Generation

Query

Here's a python program. Please rewrite it in c with the type signature float my_sqrt(float, float). def my_sqrt(number, precision=0.0001): guess = number / 2 # Start with an initial guess while abs(guess * guess - number) >= precision: guess = (guess + number / guess) / 2 # Improve the guess using the Babylonian method return guess

Output

Here's the equivalent C implementation of the Python square root function using the Babylonian method: 

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#include <math.h>

float my_sqrt(float number, float precision) {
    // If precision is not provided, use a default value
    if (precision == 0.0f) {
        precision = 0.0001f;
    }

    // Start with an initial guess
    float guess = number / 2.0f;
    
    // Improve the guess using the Babylonian method
    while (fabsf(guess * guess - number) >= precision) {
        guess = (guess + number / guess) / 2.0f;
    }
    
    return guess;
}
Key differences from the Python version: 1. We use `float` as the data type instead of Python's dynamic typing. 2. We use `fabsf()` from `<math.h>` instead of `abs()` to get the absolute value of a float. 3. We use explicit float literals (with `.0f`) to ensure float arithmetic. 4. We added a default precision handling at the start of the function. 5. The core algorithm remains the same - the Babylonian method for square root approximation. You can use this function like this: 
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#include <stdio.h>

int main() {
    float result = my_sqrt(16.0f, 0.0001f);
    printf("Square root of 16 is: %f\n", result);
    return 0;
}
The function will return an approximation of the square root with the specified precision. Note that for more precise or standardized square root calculations, you might want to use the standard `sqrt()` function from `<math.h>`.

Extract Code

I extracted the following code from that output: 

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#include <math.h>

float my_sqrt(float number, float precision) {
    // If precision is not provided, use a default value
    if (precision == 0.0f) {
        precision = 0.0001f;
    }

    // Start with an initial guess
    float guess = number / 2.0f;
    
    // Improve the guess using the Babylonian method
    while (fabsf(guess * guess - number) >= precision) {
        guess = (guess + number / guess) / 2.0f;
    }
    
    return guess;
}

Run Code Interpreter

Running the following program: 

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#include <math.h>

float my_sqrt(float number, float precision) {
    // If precision is not provided, use a default value
    if (precision == 0.0f) {
        precision = 0.0001f;
    }

    // Start with an initial guess
    float guess = number / 2.0f;
    
    // Improve the guess using the Babylonian method
    while (fabsf(guess * guess - number) >= precision) {
        guess = (guess + number / guess) / 2.0f;
    }
    
    return guess;
}



#include<stdio.h>
#include<stdlib.h>

int main() {


int answer = (int)(my_sqrt(12345, .001)*10);
int expected = 1111;
if (answer != expected) {
    printf("Wrong answer; got %d instead of %d.\n", answer, expected);
    exit(1);
}
printf("All tests passed\n");
}
And got the output: All tests passed

Substring Evaluation

Testing if the previous output contains the string All tests passed: True

Initial Query

Here's a python program. Please rewrite it in c with the type signature float my_sqrt(float, float). def my_sqrt(number, precision=0.0001): guess = number / 2 # Start with an initial guess while abs(guess * guess - number) >= precision: guess = (guess + number / guess) / 2 # Improve the guess using the Babylonian method return guess

LLM Generation

Query

Here's a python program. Please rewrite it in c with the type signature float my_sqrt(float, float). def my_sqrt(number, precision=0.0001): guess = number / 2 # Start with an initial guess while abs(guess * guess - number) >= precision: guess = (guess + number / guess) / 2 # Improve the guess using the Babylonian method return guess

Output

Here's the equivalent implementation in C with the specified type signature: 

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#include <math.h>
#include <float.h>

float my_sqrt(float number, float precision) {
    // Handle special cases
    if (number < 0) {
        return -1.0f; // or NaN, depending on how you want to handle negative inputs
    }
    
    if (number == 0) {
        return 0.0f;
    }
    
    // Use default precision if not specified
    if (precision <= 0) {
        precision = 0.0001f;
    }
    
    float guess = number / 2.0f;  // Start with an initial guess
    
    // Babylonian method (Newton-Raphson method)
    while (fabsf(guess * guess - number) >= precision) {
        guess = (guess + number / guess) / 2.0f;
    }
    
    return guess;
}
Key differences from the Python version: 1. We use `float` instead of Python's dynamic typing. 2. The function uses `fabsf()` instead of `abs()` for floating-point absolute value. 3. We added some basic error handling for negative inputs. 4. We ensure floating-point division by using `2.0f` instead of `2`. 5. The default precision is still 0.0001, but it can be overridden. Example usage: 
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#include <stdio.h>

int main() {
    float x = 16.0f;
    float result = my_sqrt(x, 0.0001f);
    printf("Square root of %f is %f\n", x, result);
    return 0;
}
A few notes: - This uses the Babylonian method (Newton-Raphson) for square root approximation. - The precision parameter controls the accuracy of the approximation. - For more precise or robust square root calculations, you might want to use the standard `sqrtf()` function from `<math.h>`. The function will return a very close approximation of the square root, iteratively improving the guess until the precision requirement is met.

Extract Code

I extracted the following code from that output: 

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#include <math.h>
#include <float.h>

float my_sqrt(float number, float precision) {
    // Handle special cases
    if (number < 0) {
        return -1.0f; // or NaN, depending on how you want to handle negative inputs
    }
    
    if (number == 0) {
        return 0.0f;
    }
    
    // Use default precision if not specified
    if (precision <= 0) {
        precision = 0.0001f;
    }
    
    float guess = number / 2.0f;  // Start with an initial guess
    
    // Babylonian method (Newton-Raphson method)
    while (fabsf(guess * guess - number) >= precision) {
        guess = (guess + number / guess) / 2.0f;
    }
    
    return guess;
}

Run Code Interpreter

Running the following program: 

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#include <math.h>
#include <float.h>

float my_sqrt(float number, float precision) {
    // Handle special cases
    if (number < 0) {
        return -1.0f; // or NaN, depending on how you want to handle negative inputs
    }
    
    if (number == 0) {
        return 0.0f;
    }
    
    // Use default precision if not specified
    if (precision <= 0) {
        precision = 0.0001f;
    }
    
    float guess = number / 2.0f;  // Start with an initial guess
    
    // Babylonian method (Newton-Raphson method)
    while (fabsf(guess * guess - number) >= precision) {
        guess = (guess + number / guess) / 2.0f;
    }
    
    return guess;
}



#include<stdio.h>
#include<stdlib.h>

int main() {


int answer = (int)(my_sqrt(12345, .001)*10);
int expected = 1111;
if (answer != expected) {
    printf("Wrong answer; got %d instead of %d.\n", answer, expected);
    exit(1);
}
printf("All tests passed\n");
}
And got the output: All tests passed

Substring Evaluation

Testing if the previous output contains the string All tests passed: True