Linear search

#original function

number_list = [ 10, 14, 19, 26, 27, 31, 33, 35, 42, 44]
target_number = 33

def linear_search(search_list, target_value):
  for idx in range(len(search_list)):
    if search_list[idx] == target_value:
      return idx
  raise ValueError("{0} not in list".format(target_value))



try:
  # Call the function below...
  print(linear_search(number_list,100))
except ValueError as error_message:
  print("{0}".format(error_message))
  
  
  # finding duplicates
  
  # Search list and target value
tour_locations = [ "New York City", "Los Angeles", "Bangkok", "Istanbul", "London", "New York City", "Toronto"]
target_city = "New York City"

#Linear Search Algorithm
def linear_search(search_list, target_value):
  matches = []
  for idx in range(len(search_list)):
    if search_list[idx] == target_value:
      matches.append(idx)
  if matches:
    return matches
  else:
    raise ValueError("{0} not in list".format(target_value))

#Function call
tour_stops = linear_search(tour_locations, target_city)
print(tour_stops)




#finding the maximum

# Search list
test_scores = [88, 93, 75, 100, 80, 67, 71, 92, 90, 83]

#Linear Search Algorithm
def linear_search(search_list):
  maximum_score_index = None
  for idx in range(len(search_list)):
    print(search_list[idx])
    if maximum_score_index is None or search_list[idx] > search_list[maximum_score_index]:
      maximum_score_index = idx
  return maximum_score_index
    #if search_list[idx] == target_value:
    #  return idx
  #raise ValueError("{0} not in list".format(target_value))

# Function call
highest_score = linear_search(test_scores)

#Prints out the highest score in the list
print(highest_score)