human
Give me a the Python program you requested given the following:
!python MRJob_NumberOfNodes.py all-pages-indexed-out.txt -r emr --num-ec2-instances 10 --ec2-task-instance-type m1.medium

%%writefile MRJob_PreprocessGraph.py
#!/usr/bin/env python
from mrjob.job import MRJob
from mrjob.step import MRStep   
from ast import literal_eval
from mrjob.compat import jobconf_from_env

class MRJobPreprocessGraph(MRJob):
    

    def steps(self):
        mapper_only = 0
        if mapper_only:
            return [MRStep(mapper_init = self.mapper_init,
                           mapper = self.mapper)]
        return [MRStep(
                mapper_init = self.mapper_init,
                mapper = self.mapper,
                reducer = self.reducer
                )]
    
    def mapper_init(self):
        G = int(jobconf_from_env('G'))
        self.PR = 1.0/G
        
    
    def mapper(self, _, line):
        line = line.strip().split('\t')
        key = line[0]
        edges = literal_eval(line[1])
        value = [self.PR, edges]
        yield int(key), value
        
        for node in edges.keys():
            yield int(node), [self.PR]

           
    def reducer(self,key,value):
        PR = 0
        edges = {}
        for v in value:
            if len(v)==1:
                PR = v[0]
            else:
                PR = v[0]
                edges = v[1]
        yield int(key), [PR, edges]

    
        
if __name__ == '__main__':
    MRJobPreprocessGraph.run()
Given the above code, generate some markdown instructions for it.
assistant
#Here is the Python program you requested.

HW 9.2: Exploring PageRank teleportation and network plots
In order to overcome  problems such as disconnected components, the damping factor (a typical value for d is 0.85) can be varied.
Using the graph in HW1, plot the test graph (using networkx, https://networkx.github.io/) for several values of the damping parameter alpha, so that each nodes radius is proportional to its PageRank score. In particular you should do this for the following damping factors:   [0,0.25,0.5,0.75, 0.85, 1].
Note your plots should look like the following:  
https://en.wikipedia.org/wiki/PageRank#/media/File:PageRanks-Example.svg
<font color='red'>
HW 9.2 from Doug's notebook
</font>  
HW 9.3: Applying PageRank to the Wikipedia hyperlinks network
Run your PageRank implementation on the Wikipedia dataset for 10 iterations, and display the top 100 ranked nodes (with alpha = 0.85).  
Run your PageRank implementation on the Wikipedia dataset for 50 iterations, and display the top 100 ranked nodes (with teleportation factor of 0.15).
Have the top 100 ranked pages changed? Comment on your findings. Plot both 100 curves.