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def word_count_reduce_function(key_value_pairs): result = dict() # TODO: Implement code to return list containing word/count pairs return result The following code uses the functions defined previously

def word_count_reduce_function(key_value_pairs):

result = dict()

# TODO: Implement code to return list containing word/count pairs return result The following code uses the functions defined previously to run the MapReduce job.

The counted_words_dict variable should be a dictionary where the words are the keys and the total count for each word are the values. In [ ]:

# Step 1: Apply the `word_count_map_function` to each the documents map_output_values = map(word_count_map_function, documents)

# Step 2: Merge the outputs of the map function into a single list merged_output_values = reduce(merge_lists_reduce_function, map_output_values)

# Step 3: Apply the `word_count_reduce_function` to create a single word/count dictionary counted_words_dict = word_count_reduce_function(merged_output_values) counted_words_dict

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