Video: Add example for ruff

2024/tuesday_tips/ruff/formatted.py

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+import random
+
+
+def generate_random_numbers(count: int, range_start: int, range_end: int) -> list[int]:
+    """Generate a list of random integers within a specified range."""
+    return [random.randint(range_start, range_end) for _ in range(count)]
+
+
+def calculate_mean(numbers: list[int]) -> float:
+    """Calculate the mean of a list of numbers."""
+
+    return sum(numbers) / len(numbers)
+
+
+def calculate_median(numbers: list[int]) -> float:
+    """Calculate the median of a list of numbers."""
+    sorted_numbers = sorted(numbers)
+
+    n = len(sorted_numbers)
+    mid = n // 2
+
+    if n % 2 == 0:
+        return (sorted_numbers[mid - 1] + sorted_numbers[mid]) / 2
+    else:
+        return sorted_numbers[mid]
+
+
+def calculate_std_dev(numbers: list[int], mean: float) -> float:
+    """Calculate the standard deviation of a list of numbers."""
+    variance = sum((x - mean) ** 2 for x in numbers) / len(numbers)
+
+    return variance**0.5
+
+
+def print_histogram(numbers: list[int], bins: int) -> None:
+    """Print a text-based histogram of the numbers."""
+
+    max_value = max(numbers)
+    min_value = min(numbers)
+
+    range_size = (max_value - min_value) / bins
+    histogram = [0] * bins
+    for number in numbers:
+        index = int((number - min_value) / range_size)
+
+        if index == bins:  # This happens when number is the maximum value
+            index -= 1
+        histogram[index] += 1
+    for i in range(bins):
+        print(
+            f"{min_value + i * range_size:.1f}-{min_value + (i + 1) * range_size:.1f}: {'#' * histogram[i]}"
+        )
+
+
+def main() -> None:
+    num_numbers = 100  # Number of random numbers to generate
+    start = 1  # Start of range
+    end = 100  # End of range
+    bins = 10  # Number of bins in the histogram
+
+    # Generate random numbers
+    random_numbers = generate_random_numbers(num_numbers, start, end)
+
+    # Calculate statistics
+    mean = calculate_mean(random_numbers)
+
+    median = calculate_median(random_numbers)
+    std_dev = calculate_std_dev(random_numbers, mean)
+    print(f"Mean: {mean}, Median: {median}, Standard Deviation: {std_dev}")
+
+    # Print the histogram
+    print_histogram(random_numbers, bins)
+
+
+# Main program
+if __name__ == "__main__":
+    main()

2024/tuesday_tips/ruff/git/hooks/pre-commit

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+#!/bin/sh
+
+echo "Running Ruff format..."
+ruff format
+
+# Add changes to staging area
+git add $(git diff --name-only --cached)
+
+echo "Formatted and re-staged files."

2024/tuesday_tips/ruff/pyproject.toml

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+[tool.poetry]
+name = "ruff"
+version = "0.1.0"
+description = ""
+authors = ["Andreas Bergman <[email protected]>"]
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = "^3.12"
+
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"

2024/tuesday_tips/ruff/unformatted.py

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+import random
+
+
+def generate_random_numbers(count: int, range_start: int, range_end: int) -> list[int]:
+    """Generate a list of random integers within a specified range."""
+
+    return [random.randint(range_start, range_end) for _ in range(count)]
+
+
+def calculate_mean(numbers: list[int]) -> float:
+    """Calculate the mean of a list of numbers."""
+
+    return sum(numbers) / len(numbers)
+
+
+def calculate_median(numbers: list[int]) -> float:
+    """Calculate the median of a list of numbers."""
+
+    sorted_numbers = sorted(numbers)
+
+    n = len(sorted_numbers)
+    mid = n // 2
+
+    if n % 2 == 0:
+        return (sorted_numbers[mid - 1] + sorted_numbers[mid]) / 2
+    else:
+        return sorted_numbers[mid]
+
+
+def calculate_std_dev(numbers: list[int], mean: float) -> float:
+    """Calculate the standard deviation of a list of numbers."""
+
+    variance = sum((x - mean) ** 2 for x in numbers) / len(numbers)
+
+    return variance**0.5
+
+
+def print_histogram(numbers: list[int], bins: int) -> None:
+    """Print a text-based histogram of the numbers."""
+
+    max_value = max(numbers)
+    min_value = min(numbers)
+
+    range_size = (max_value - min_value) / bins
+    histogram = [0] * bins
+    for number in numbers:
+        index = int((number - min_value) / range_size)
+
+        if index == bins:  # This happens when number is the maximum value
+            index -= 1
+        histogram[index] += 1
+    for i in range(bins):
+        print(
+            f"{min_value + i * range_size:.1f}-{min_value + (i + 1) * range_size:.1f}: {'#' * histogram[i]}"
+        )
+
+
+def main() -> None:
+    num_numbers = 100  # Number of random numbers to generate
+    start = 1  # Start of range
+    end = 100  # End of range
+    bins = 10  # Number of bins in the histogram
+
+    # Generate random numbers
+    random_numbers = generate_random_numbers(num_numbers, start, end)
+
+    # Calculate statistics
+    mean = calculate_mean(random_numbers)
+
+    median = calculate_median(random_numbers)
+    std_dev = calculate_std_dev(random_numbers, mean)
+    print(f"Mean: {mean}, Median: {median}, Standard Deviation: {std_dev}")
+
+    # Print the histogram
+    print_histogram(random_numbers, bins)
+
+
+# Main program
+if __name__ == "__main__":
+    main()