Devil Rays Scorecard

Here is the code to parse the given text and extract the relevant information:

import re

# Define a function to extract games from the text
def extract_games(text):
    # Use regular expressions to find all game records in the text
    patterns = [
        r"(\d{1,2}\/\d{1,2}) ([A-Za-z ]+) (\d{3})",
        r"(\d{1,2}\/\d{1,2}) ([A-Za-z ]+) vs. ([A-Za-z ]+)"
    ]
    matches = re.findall(patterns, text)
    
    # Create a dictionary to store the game results
    games = {}
    
    for match in matches:
        date = match[0]
        home_team = match[1]
        away_team = match[2] if len(match) == 3 else None
        score_home = int(match[3]) if len(match) != 4 else None
        
        # Create a new game object with the extracted information
        game = {
            "date": date,
            "home_team": home_team,
            "away_team": away_team,
            "score": score_home
        }
        
        # Add the game to the games dictionary
        if home_team in games:
            games[home_team].append(game)
        else:
            games[home_team] = [game]
    
    return games

# Extract the games from the text
games = extract_games(text)

# Print the results
for team, team_games in games.items():
    print(f"{team}:")
    for game in team_games:
        print(f"  {game['date']} - {game['home_team']} vs. {game['away_team']} (Score: {game['score']})")

This code uses regular expressions to extract the game records from the text, and then creates a dictionary to store the results. The resulting games dictionary is then printed in a formatted manner.

Please note that this code assumes that the input text follows a specific format, with each game record containing the date, home team, away team (if applicable), and score. If the input text has a different format, you may need to adjust the regular expressions or the code's logic accordingly. Updated: June 26, 2025 at 8:56 PM