ДЗ к 5 уроку

#1.py

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+with open('text1.txt', mode='w') as write_dt:
+    data = input()
+    while data != '':
+        write_dt.write(f'{data}\n')
+        data = input()
+
+

#2.py

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+with open('text2.txt', 'r') as txt:
+    string = 1
+    for line in txt:
+        print(f'количество слов в строке {string} - {len(line.split())}')
+        string += 1

#3.py

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+with open('text3.txt', 'r', encoding='UTF-8') as txt:
+    average = 0
+    count = 0
+    for line in txt:
+        try:
+            salary = int(line.split(' - ')[1])
+            if salary < 20000:
+                print(line, end='')
+            average += salary
+            count += 1
+        except ValueError:
+            print('В файле обнаружена ошибка ввода заработной платы!')
+        except IndexError:
+            break
+    print(f'Средняя заработанная плата {average/count:.2f}')
+

#4.py

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+numbers = {'One': 'один', 'Two': 'два', 'Three': 'три', 'Four': 'четыре'}
+with open('text4.txt', 'r', encoding='UTF-8') as txt1:
+    with open('text4_1.txt', 'w', encoding='UTF-8') as txt2:
+        for line in txt1:
+            x = line.split(" — ")
+            try:
+                txt2.write(f'{numbers[x[0]]} — {x[1]}')
+            except KeyError:
+                print('В исходном файле обнаружена ошибка соответствия!')

#5.py

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+from random import randint
+
+
+with open('text5.txt', 'w', encoding='UTF-8') as txt:
+    for i in range(5):
+        txt.write(f'{str(randint(1, 100))} ')
+with open('text5.txt', 'r', encoding='UTF-8') as txt:
+    print(sum(map(int, txt.readline().split())))

#6.py

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+from itertools import cycle
+
+
+dict = {}
+with open('text6.txt', 'r', encoding='UTF-8') as txt:
+    for line in txt:
+        subject = ''.join(line.split()[:1])[:-1]
+        sum = 0
+        for a, n in zip(line.split()[1:], cycle([3, 4, 5])):
+            if a == '—':
+                continue
+            sum += int(a[:-n])
+        dict[subject] = sum
+print(dict)

#7.py

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+import json
+
+dict_prof = {}
+dict_aver = {}
+with open('text7.txt', 'r', encoding='UTF-8') as txt:
+    count = 0
+    suma = 0
+    for line in txt:
+        name, ownership, income, costs = line.split()
+        profit = int(income) - int(costs)
+        dict_prof[name] = profit
+        suma += profit
+        count += 1
+    dict_aver['average_profit'] = suma/count
+lists = [dict_prof, dict_aver]
+with open("text7.json", "w") as txt:
+    json.dump(lists, txt)

text1.txt

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+sf
+324
+shrt
+44444

text2.txt

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+fefef sfefsf
+sdfsf jsdkfjsdf jsfkdf
+sdfj

text3.txt

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+Иванов - 20000
+Петров - 10000
+Сидоров - 30000

text4.txt

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+One — 1
+Two — 2
+Three — 3
+Four — 4

text4_1.txt

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+один — 1
+два — 2
+три — 3
+четыре — 4

text5.txt

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+58 64 37 84 66 

text6.txt

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+Информатика: 100(л) 50(пр) 20(лаб)
+Физика: 30(л) — 10(лаб)
+Физкультура: — 30(пр) —

text7.json

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+[{"firm_1": 5500, "firm_2": 9400, "firm_3": -10000}, {"average_profit": 1633.3333333333333}]

text7.txt

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+firm_1 ООО 10500 5000
+firm_2 ОАО 10000 600
+firm_3 ЗАО 20000 30000