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try:

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    import numpy as np

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    from requests import get

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    from bs4 import BeautifulSoup

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    stars_to_explore = ( 2**np.arange( -1, 16 ) ).astype("int")

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    forks_to_explore = ( 2**np.arange( -1, 16 ) ).astype("int")

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    repo_with_stars = np.ones_like( stars_to_explore )

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    repo_with_forks = np.ones_like( forks_to_explore )

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    URL = "https://github.com/search"

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    print "Scrapping data from Github. Sorry Github..."

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    print "The data is contained in variables `foo_to_explore` and `repo_with_foo`"

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    print

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    print "stars first..."

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    payload = {"q":""}

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    for i, _star in enumerate(stars_to_explore):

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        payload["q"] = "stars:>=%d"%_star

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        r = get( URL, params = payload )

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        soup = BeautifulSoup( r.text )

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        try:

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            h3 = soup.find( class_="sort-bar").find( "h3" ).text #hopefully the github search results page plays nicely.

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            value = int( h3.split(" ")[2].replace(",", "" ) )

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        except AttributeError as e:

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            #there might be less than 10 repos, so I'll count the number of display results

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            value  = len( soup.findAll(class_= "mega-icon-public-repo" ) )

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        repo_with_stars[i] = value

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        print "number of repos with greater than or equal to %d stars: %d"%(_star, value )

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    #repo_with_stars = repo_with_stars.astype("float")/repo_with_stars[0]

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    print 

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    print "forks second..."

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    payload = {"q":""}

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    for i, _fork in enumerate(stars_to_explore):

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        payload["q"] = "forks:>=%d"%_fork

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        r = get( URL, params = payload )

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        soup = BeautifulSoup( r.text )

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        try:

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            h3 = soup.find( class_="sort-bar").find( "h3" ).text #hopefully the github search results page plays nicely.

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            value = int( h3.split(" ")[2].replace(",", "" ) )

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        except AttributeError as e:

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            #there might be less than 10 repos, so I'll count the number of display results

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            value  = len( soup.findAll(class_= "mega-icon-public-repo" ) )

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        repo_with_forks[i] = value

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        print "number of repos with greater than or equal to %d forks: %d"%(_fork, value )

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    #repo_with_forks = repo_with_forks.astype("float")/repo_with_forks[0]

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    np.savetxt( "data/gh_forks.csv", np.concatenate( [forks_to_explore, repo_with_forks], axis=1) )

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    np.savetxt( "data/gh_stars.csv", np.concatenate( [stars_to_explore, repo_with_stars], axis=1) )

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except ImportError as e:

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    print e

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    print "requests / BeautifulSoup not found. Using data pulled on Feburary 11, 2013"

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    _data = np.genfromtxt( "data/gh_forks.csv", delimiter = "," ) #check this.

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    forks_to_explore = _data[:,0]

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    repo_with_forks  = _data[:,1]    

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    _data = np.genfromtxt( "data/gh_stars.csv", delimiter = "," ) #check this.

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    stars_to_explore = _data[:,0]

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    repo_with_stars  = _data[:,1]

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