<gh_stars>0

def recommend_task(mood, time, task_list):
    for i, x in enumerate(0, len(task_list)):
      print(str(i+1) + ") ")
      task_list.display_full_task(x)

def recommend_study_strat(mood):
    '''
    Given the user productivity, recommend a study strategy 

    Args:
      Mood: int showing productivity of the user
      Time: int of number of minutes allocated to this task
      Task: given task
    Returns:
      string of the recommended study strategy
    '''

    '''
    Feel free to change these bounds, I just sort of did them by how long
    the focus time takes for each method
    '''
    if 0 <= mood <= 3:
      return 'Pomodoro Method'
    elif 3 < mood <= 5:
      return 'Brain-Break Method'
    elif 5 < mood <= 8:
      return 'The Abby Method'
    elif 8 < mood <= 10:
      return 'The Sima Method'

    


def recommend_task(mood, time, task_list):
    for i, x in enumerate(0, len(task_list)):
      print(str(i+1) + ") ")
      task_list.display_full_task(x)

def recommend_study_strat(mood):
    '''
    Given the user productivity, recommend a study strategy 

    Args:
      Mood: int showing productivity of the user
      Time: int of number of minutes allocated to this task
      Task: given task
    Returns:
      string of the recommended study strategy
    '''

    '''
    Feel free to change these bounds, I just sort of did them by how long
    the focus time takes for each method
    '''
    if 0 <= mood <= 3:
      return 'Pomodoro Method'
    elif 3 < mood <= 5:
      return 'Brain-Break Method'
    elif 5 < mood <= 8:
      return 'The Abby Method'
    elif 8 < mood <= 10:
      return 'The Sima Method'
Given the user productivity, recommend a study strategy       Args:       Mood: int showing productivity of the user       Time: int of number of minutes allocated to this task       Task: given task     Returns:       string of the recommended study strategy Feel free to change these bounds, I just sort of did them by how long     the focus time takes for each method