This is the shorten dataset of Ford vehicle trips in Omaha, Nebraska, sorted by trip_start time. The full size one contains 20,000+ rows of data. With that in mind, write a Python program that:

Read the first ride of the day from the data stream, which is the earliest trip_start of the day, and return the year of the vehicle in the first week. Because we only want the first week, only 12-01 to 12-07 should be counted, anything past that should be disregard.

Requirements:

- Use streaming computation methods, with other techniques like MapReduce.

- The data can only be iterated once using yield.

- There can only be 7 elements in your container, for 7 output elements.

Hint:

- You can use ___ = df.values.tolist() to transform the file to a list of lists

- Since the dataset has already been sorted by trip_start, you can just read the first row based on the date section of trip_start.

Final output:

2017

2000

2004

2013

2012

2015

2021