input: Write a python function to generate the first 100 Fibonacci numbers using PySpark.
  assert generate_fibonacci()[:10] == [0, 1, 1, 2, 3, 5, 8, 13, 21, 34]
  assert generate_fibonacci()[95:100] == [31940434634990099905, 51680708854858323072, 83621143489848422977, 135301852344706746049, 218922995834555169026]
output: def generate_fibonacci():
      from pyspark.sql import SparkSession
      from pyspark.sql.functions import col, lit, when
  
      # Initialize Spark session
      spark = SparkSession.builder.master("local").appName("Fibonacci").getOrCreate()
  
      # Create an initial DataFrame with the first two Fibonacci numbers
      data = [(0, 0), (1, 1)]
      df = spark.createDataFrame(data, ["id", "value"])
  
      # Generate the next Fibonacci numbers
      for i in range(2, 100):
          next_value = df.filter(col("id") == i - 1).select("value").collect()[0][0] + df.filter(col("id") == i - 2).select("value").collect()[0][0]
          df = df.union(spark.createDataFrame([(i, next_value)], ["id", "value"]))
  
      # Collect the result as a list of Fibonacci numbers
      fibonacci_numbers = df.orderBy("id").select("value").rdd.flatMap(lambda x: x).collect()
      spark.stop()
      
      return fibonacci_numbers