Command Line Interface

def main(args, text, imagefile):
    """
    Generate word cloud from command line arguments.

    Creates WordCloud instance with provided arguments, generates word cloud from text,
    and saves result to specified image file.

    Parameters:
    - args (dict): Parsed command line arguments as WordCloud parameters
    - text (str): Input text for word cloud generation  
    - imagefile (file-like): Output file object for PNG image

    Returns:
    - None: Saves word cloud directly to imagefile
    """

def make_parser():
    """
    Create argument parser for wordcloud CLI.

    Builds ArgumentParser with all available WordCloud parameters as command line options,
    including input/output handling, styling options, and text processing controls.

    Returns:
    - argparse.ArgumentParser: Configured argument parser
    """

def parse_args(arguments):
    """
    Parse and validate command line arguments.

    Processes command line arguments, validates options, handles file I/O,
    and converts arguments to WordCloud-compatible format.

    Parameters:
    - arguments (list): Command line argument list (typically sys.argv[1:])

    Returns:
    - tuple: (args_dict, text_string, output_file) ready for main() function

    Raises:
    - ValueError: For incompatible argument combinations
    - ArgumentTypeError: For invalid file paths or regexp patterns
    """

def main():
    """
    Entry point for 'python -m wordcloud' command.

    Parses sys.argv arguments and calls wordcloud_cli_main with results.
    This function is registered as the script entry point in setup.py.
    """

class FileType:
    def __init__(self, mode='r', bufsize=-1):
        """
        Factory for creating file object types with Unicode support.
        
        Parameters:
        - mode (str): File open mode (default: 'r')
        - bufsize (int): Buffer size (default: -1)
        """
        
    def __call__(self, string):
        """
        Convert string to file object, handling stdin/stdout redirection.
        
        Parameters:
        - string (str): File path or '-' for stdin/stdout
        
        Returns:
        - file-like: Opened file object with UTF-8 encoding
        """

class RegExpAction:
    def __call__(self, parser, namespace, values, option_string=None):
        """
        Validate regular expression arguments.
        
        Parameters:
        - parser (ArgumentParser): The argument parser
        - namespace (Namespace): Parsed arguments namespace
        - values (str): Regular expression string to validate
        - option_string (str): Option that triggered this action
        
        Raises:
        - ArgumentError: If regular expression is invalid
        """

# Generate word cloud from text file
wordcloud_cli --text input.txt --imagefile output.png

# Read from stdin, write to stdout
cat document.txt | wordcloud_cli > wordcloud.png

# Using python -m syntax
python -m wordcloud --text input.txt --imagefile output.png

# Custom size and colors
wordcloud_cli --text input.txt --width 1200 --height 800 \
              --background white --colormap plasma --imagefile large.png

# Using mask for custom shape
wordcloud_cli --text input.txt --mask shape.png \
              --contour_width 2 --contour_color blue --imagefile shaped.png

# Single color variation
wordcloud_cli --text input.txt --color darkblue --imagefile blue.png

# Custom font and text processing
wordcloud_cli --text input.txt --fontfile /path/to/font.ttf \
              --stopwords custom_stops.txt --min_word_length 3 \
              --imagefile custom.png

# Image-based coloring
wordcloud_cli --text input.txt --colormask reference.jpg \
              --imagefile colored.png

# Fine-tuned layout
wordcloud_cli --text input.txt --max_words 500 --relative_scaling 0.8 \
              --prefer_horizontal 0.7 --scale 2 --imagefile detailed.png

# Custom tokenization
wordcloud_cli --text input.txt --regexp "[a-zA-Z]{4,}" \
              --no_collocations --include_numbers --imagefile tokens.png

# Reproducible generation
wordcloud_cli --text input.txt --random_state 42 --imagefile consistent.png

# Process PDF documents
pdftotext document.pdf - | wordcloud_cli --imagefile doc_cloud.png

# Filter and process
grep -E "important|critical|urgent" log.txt | \
wordcloud_cli --colormap Reds --imagefile alerts.png

# Multiple files
cat *.txt | wordcloud_cli --max_words 1000 --imagefile combined.png

# Using custom stopwords
echo -e "said\nwould\ncould\nmight" > mystops.txt
wordcloud_cli --text input.txt --stopwords mystops.txt --imagefile filtered.png

# Batch processing with consistent settings
for file in *.txt; do
    wordcloud_cli --text "$file" --width 800 --height 600 \
                  --colormap viridis --imagefile "${file%.txt}.png"
done

# Display help message
wordcloud_cli --help
python -m wordcloud --help

# Show version
wordcloud_cli --version
python -m wordcloud --version