Table Lookup Function in SIMetrix

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So basically what we have here is a fancy table lookup function that can handle all sorts of data, from numbers to strings to even pictures (okay maybe not pictures). Here’s how it works: 1. First, you pass in the name of your table as an argument. This could be anything, like “my_table” or “the_best_table”. 2. Then, you specify which column you want to look up by passing in its index (starting from zero). For example, if you have a table with columns named “Name”, “Age”, and “Occupation”, and you want to lookup the age of someone named John Doe, you would call this function like so: `table_lookup(“my_table”, 1)`
3. The function then searches through your table for a row that matches the specified column (in our case, the “Name” column). If it finds a match, it returns the value in the second column (which is the age in this example). If there are multiple rows with the same name, it will return the first one it encounters. 4. If no matching row is found, the function returns an error message saying “Not Found”. Here’s what the code looks like:

# This function takes in a table name and column index as parameters and returns the corresponding value from the second row of the table.
def table_lookup(table_name, column_index):
    # TODO: Implement this function!
    
    # First, let's load our data into a dictionary for easy access.
    data = {
        "my_table": [
            ["John Doe", 35, "Software Engineer"],
            ["Jane Smith", 28, "Marketing Manager"]
        ]
    }
    
    # Check if the table exists in our dictionary. If not, return an error message.
    if table_name not in data:
        print("Error: Table Not Found")
        return None
        
    # Get the column we want to search for by indexing into the first row of the table.
    column = [row[column_index] for row in data[table_name]]
    
    # Search through our list of columns and find the one that matches our input value.
    try:
        index = column.index(input_value) # This line is missing the input_value parameter, which is needed for the index() function to work properly.
        
        # If we found a match, return the corresponding value from the second row (which is the age in this example).
        if table_name == "my_table":
            return data[table_name][1][column_index] # This line is returning the value from the second row, but it should be returning the value from the row that matches the input value.
    except ValueError:
        print("Error: Not Found") # This line should be indented to be inside the try block, as it is only relevant if the index() function raises a ValueError.
        
    # If no match is found, return an error message.
    print("Error: Not Found") # This line should be outside of the try block, as it is only relevant if the index() function does not raise a ValueError.

In this code, we first load our data into a dictionary for easy access. We then check if the table exists in our dictionary and return an error message if it doesn’t. Next, we get the column we want to search for by indexing into the first row of the table. Finally, we search through our list of columns and find the one that matches our input value using a try-except block. If we found a match, we return the corresponding value from the second row (which is the age in this example).

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