# -*- coding: utf-8 -*-
"""Untitled25.ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/1LFBSpLYZlnJRoQA6udz5oUJaK-iihq_8
"""

# A1
import random
random.seed(123)
mylist=[]
for i in range(10):
  x = round(random.uniform(-0.1, 0.1),3)
  # print(x) # im not sure wanted this print
  mylist.append(x)
print(mylist)

# A2
mysecondlist = mylist.copy()
mysecondlist.sort()
print(mysecondlist)

#A3 İndexin ne alak anlamadım ben açıklarsanız ona göre değiştireyim
MINIMUM_OF_COPIED_LIST = mysecondlist[0]
MAXIMIM_OF_COPIED_LIST = mysecondlist[-1]
print("Minimum: " + str(MINIMUM_OF_COPIED_LIST) +  "\n" +  "Maximum: " + str(MAXIMIM_OF_COPIED_LIST))

#B1
poz = [i for i in mylist if i > 0]
print(poz)
print("Pozitive elements count: " + str(len(poz)))

#B2
MINIMUM_OF_SUBLIST = min(poz)
MAXIMUM_OF_SUBLIST = max(poz)
AVERAGE_OF_SUBLIST = round(sum(poz) / len(poz), 3)
print("Minimum: " + str(MINIMUM_OF_SUBLIST) + "\n"  + "Maximum: " + str(MAXIMUM_OF_SUBLIST) +  "\n"  + "Average: " + str(AVERAGE_OF_SUBLIST))

with open('Amazon - 2018.txt') as f:
    text = f.read()
# print(text)

# with open('LM_SentimentWordLists_2018_Positive.txt') as f:
#     wl = f.read()
# print(wl)

# print(text)

text = text.split()
text = [i.lower() for i in text]
text.pop(0) # remove url
print(text)

import string
# mystringpunch= string.punctuation+"\’"
# table = str.maketrans('', '', mystringpunch)
table = str.maketrans('', '', string.punctuation)
text_after_remove_punch = [w.translate(table) for w in text]
print(text_after_remove_punch)
text_word_count= len(text_after_remove_punch)

uniq = set(text_after_remove_punch)
print(type(uniq))
mydict = {}
for i in uniq:
  mydict[i] = text_after_remove_punch.count(i)

# print(mydict)
for key in mydict:
  if mydict.get(key) > 25:
    print("Word: " + str(key) + " Count: " + str(mydict.get(key)) )

with open('LM_SentimentWordLists_2018_Positive.txt') as f:
    LM = f.read()
LM = LM.split()
LM = [i.upper() for i in LM]
print(LM)

uniq_list = list(uniq)

print(len(uniq_list))

print(text_after_remove_punch.count(uniq_list[505]))

def ML_words_exist_how_many_times_in_text(uniq_list, LM):
  total_sum = 0
  for i in uniq_list:
    if i.upper() in LM:
      total_sum += text_after_remove_punch.count(i)
  return total_sum
print(ML_words_exist_how_many_times_in_text(uniq_list, LM))

format_text = "The words from the LM word list appear {THE_NUMBER_OF_TIMES} times in the text".format(THE_NUMBER_OF_TIMES=ML_words_exist_how_many_times_in_text(uniq_list, LM))

print(format_text)

#text_word_count
print(len(LM))