Modified Python Code for Pede's vote-loss analysis

# Program to find any vote-switching due to problems in the vote counting machines
# fraudcatchv2.py (modified from what Pede created)

import json


def findfraudAgainstTrump(NAME):
    """ Function to find vote-switching fraud against Trump in any particular US state 2020 election JSON file """
    with open(NAME + '.json', encoding="utf8") as f:
        x = json.load(f)
    TotalVotesLost = 0

    # If the votes in a particular time-series entry for Trump are less than in the previous time-series entry, but those for Biden are more,
    # calculate the number of votes switched in favor of Biden.
    for i in range(len(x["data"]["races"][0]["timeseries"])):
        if i != 0 and x["data"]["races"][0]["timeseries"][i]["votes"] * x["data"]["races"][0]["timeseries"][i]["vote_shares"]["trumpd"] < x["data"]["races"][0]["timeseries"][i-1]["votes"] * x["data"]["races"][0]["timeseries"][i-1]["vote_shares"]["trumpd"]:
            if x["data"]["races"][0]["timeseries"][i]["votes"] * x["data"]["races"][0]["timeseries"][i]["vote_shares"]["bidenj"] > x["data"]["races"][0]["timeseries"][i-1]["votes"] * x["data"]["races"][0]["timeseries"][i-1]["vote_shares"]["bidenj"]:
                print ("Index : " + str(i) + " ~~~ " + \
                            "EEVP_SOURCE: " + x["data"]["races"][0]["timeseries"][i]["eevp_source"] + " ~~~ " + \
                            x["data"]["races"][0]["timeseries"][i]["timestamp"] + " ~~~ " + \
                            " Past Index : " + str(i-1) + " ~~~ " + \
                            "EEVP_SOURCE: " + x["data"]["races"][0]["timeseries"][i-1]["eevp_source"] + " ~~~ " + \
                            x["data"]["races"][0]["timeseries"][i-1]["timestamp"] + " ~~~ ")
                print (x["data"]["races"][0]["timeseries"][i]["votes"] * x["data"]["races"][0]["timeseries"][i]["vote_shares"]["trumpd"] - x["data"]["races"][0]["timeseries"][i-1]["votes"] * x["data"]["races"][0]["timeseries"][i-1]["vote_shares"]["trumpd"])
                TotalVotesLost += x["data"]["races"][0]["timeseries"][i]["votes"] * x["data"]["races"][0]["timeseries"][i]["vote_shares"]["trumpd"] - x["data"]["races"][0]["timeseries"][i-1]["votes"] * x["data"]["races"][0]["timeseries"][i-1]["vote_shares"]["trumpd"]
    print ("Votes reduced for Trump: ", str(str(TotalVotesLost)  + " Flo" + "\n"))

def findfraudAgainstBiden(NAME):
    """ Function to find vote-switching fraud against Biden in any particular US state 2020 election JSON file """
    with open(NAME + '.json', encoding="utf8") as f:
        x = json.load(f)
    TotalVotesLost = 0

    # If the votes in a particular time-series entry for Biden are less than in the previous time-series entry, but those for Trump are more,
    # calculate the number of votes switched in favor of Trump.
    for i in range(len(x["data"]["races"][0]["timeseries"])):
        if i != 0 and x["data"]["races"][0]["timeseries"][i]["votes"] * x["data"]["races"][0]["timeseries"][i]["vote_shares"]["bidenj"] < x["data"]["races"][0]["timeseries"][i-1]["votes"] * x["data"]["races"][0]["timeseries"][i-1]["vote_shares"]["bidenj"]:
            if x["data"]["races"][0]["timeseries"][i]["votes"] * x["data"]["races"][0]["timeseries"][i]["vote_shares"]["trumpd"] > x["data"]["races"][0]["timeseries"][i-1]["votes"] * x["data"]["races"][0]["timeseries"][i-1]["vote_shares"]["trumpd"]:
                print ("Index : " + str(i) + " ~~~ " + \
                            "EEVP_SOURCE: " + x["data"]["races"][0]["timeseries"][i]["eevp_source"] + " ~~~ " + \
                            x["data"]["races"][0]["timeseries"][i]["timestamp"] + " ~~~ " + \
                            " Past Index : " + str(i-1) + " ~~~ " + \
                            "EEVP_SOURCE: " + x["data"]["races"][0]["timeseries"][i-1]["eevp_source"] + " ~~~ " + \
                            x["data"]["races"][0]["timeseries"][i-1]["timestamp"] + " ~~~ ")
                print (x["data"]["races"][0]["timeseries"][i]["votes"] * x["data"]["races"][0]["timeseries"][i]["vote_shares"]["bidenj"] - x["data"]["races"][0]["timeseries"][i-1]["votes"] * x["data"]["races"][0]["timeseries"][i-1]["vote_shares"]["bidenj"])
                TotalVotesLost += x["data"]["races"][0]["timeseries"][i]["votes"] * x["data"]["races"][0]["timeseries"][i]["vote_shares"]["bidenj"] - x["data"]["races"][0]["timeseries"][i-1]["votes"] * x["data"]["races"][0]["timeseries"][i-1]["vote_shares"]["bidenj"]
    print ("Votes reduced for Biden: ", str(str(TotalVotesLost)  + " Flo" + "\n"))

def findfraud2(NAME):
    """ Function to find total votes lost (for both candidates together) in any particular US state 2020 election JSON file """
    with open(NAME + '.json', encoding="utf8") as f:
        x = json.load(f)
    TotalVotesLost = 0
    for i in range(len(x["data"]["races"][0]["timeseries"])):
        if i != 0 and x["data"]["races"][0]["timeseries"][i]["votes"] < x["data"]["races"][0]["timeseries"][i-1]["votes"]:
            TotalVotesLost += x["data"]["races"][0]["timeseries"][i]["votes"] - x["data"]["races"][0]["timeseries"][i-1]["votes"]
    print (TotalVotesLost)

def main():
    """ The main part of the program, where execution starts """

    list_of_state_files_without_json_extension = ["alabama", "alaska", "arizona",
        "arkansas", "california", "colorado", "connecticut", "delaware",
        "districtofcolumbia", "florida", "georgia", "idaho", "illinois", "indiana",
        "iowa", "jersey", "kansas", "kentucky", "louisiana", "maine", "maryland",
        "massachusetts", "mexico", "michigan", "minnesota", "mississippi", "missouri",
        "montana", "nebraska", "nevada", "newhamp", "newyork", "northcarolina",
        "northdakota", "ohio", "oklahoma", "oregon", "pennsylvania", "rhode",
        "southcarolina", "southdakota", "tenn", "texas", "utah", "vermont", "virginia",
        "washington", "westvirginia", "wisconsin", "wyoming"]

    for state in list_of_state_files_without_json_extension:
        print(state.upper(), " VOTES REDUCED FOR TRUMP - ANALYSIS")
        print("------------------------------")
        findfraudAgainstTrump(state)
        print(state.upper(), " VOTES REDUCED FOR BIDEN - ANALYSIS")
        print("------------------------------")
        findfraudAgainstBiden(state)
        print(state.upper(), " VOTES LOST (FOR BOTH CANDIDATES TOGETHER) - ANALYSIS")
        print("------------------------------")
        findfraud2(state)
        print()
        print()

if __name__ == '__main__':
    main()