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python code, help me fix the error pls, I need the complete code CODE import copy import random import Assignment2 import time import pandas as

python code, help me fix the error pls, I need the complete code

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import copy import random import Assignment2 import time import pandas as pd import time import matplotlib.pyplot as plt def display_hash(hash_table): # good for i in range(len(hash_table)): print(i, hash_table[i]) print() def hash_chaining_build(arr): # good size = int(len(arr) / 10) hash_table = [[] for _ in range(size)] for key in arr: hash_key = hash_function(key, size) hash_table[hash_key].append(key) return hash_table def hash_probing_build(arr): # good size = len(arr) * 2 hash_table = [None for _ in range(size)] k = 0 for key in arr: hash_key = hash_function(key, size) if hash_table[hash_key] is None: hash_table[hash_key] = key else: i = 0 while hash_table[hash_key] is not None: # collision # is not None i += 1 hash_key = hash_function_probing(hash_key, size, i) hash_table[hash_key] = key k += 1 return hash_table def hash_chaining_search(hash_table, arr): # good size = len(hash_table) found = [False] * len(arr) for j in range(len(arr)): key = arr[j] hash_key = hash_function(key, size) for item in hash_table[hash_key]: if item == key: found[j] = True break return found def hash_probing_search(hash_table, arr): size = len(hash_table) found = [False] * len(arr) print() for j in range(len(arr)): key = arr[j] hash_key = hash_function(key, size) i = 0 while hash_table[hash_key] is None or hash_table[hash_key] != key: i += 1 hash_key = hash_function_probing(hash_key, size, i) found[j] = True return found def hash_function_probing(hash_key, size, i): a, b, c = 0, 1, 0 new_hash_key = (hash_key + 1) % size return new_hash_key def hash_function(key, size): return key % size def run_algs(algs, sizes, trials): dict_algs = {} test_map = {} for alg in algs: dict_algs[alg[2]] = {} for size in sizes: for alg in algs: dict_algs[alg[2]][size] = 0 for trial in range(1, trials + 1): arr = random_list(size) arr_copy = copy.copy(arr) random.shuffle(arr_copy) for alg in algs: start_time = time.time() build = alg[0] ds = build(arr) search = alg[1] found = search(ds, arr_copy) if size == sizes[0]: print(alg[2]) print(ds) print(found) end_time = time.time() net_time = end_time - start_time dict_algs[alg[2]][size] += 1000 * net_time return dict_algs def random_list(size): arr = [i**3 for i in range(size)] random.shuffle(arr) return arr def mini_test(): size = 1000 arr = random_list(size) print(arr) ht_probing = hash_probing_build(arr) print("Hash probing disp hash: ") display_hash(ht_probing) random.shuffle(arr) print("Hash pROBING PRINT: ") print(ht_probing) found = hash_probing_search(ht_probing, arr) print("Hash Probing Search22: ") print(found) def big_test(): assn = "Assignment6" sizes = [100, 1000, 10000] algs = [(hash_probing_build, hash_probing_search, "Hash Probing"), (hash_chaining_build, hash_chaining_search, "Hash Chaining") ] # algs = [(hash_probing_build, hash_probing_search, "Hash Probing") # ] trials = 1 title = "Runtime of Search Structures (Build and Search)" dict_algs = run_algs(algs, sizes, trials) Assignment2.print_times(dict_algs) Assignment2.plot_times(dict_algs, sizes, trials, algs, title, assn + ".png") def main(): # mini_test() big_test() if __name__ == "__main__": main()

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