From 8d3534f46215190c70d7b54ad3e5927bd98a82f6 Mon Sep 17 00:00:00 2001
From: Pavel <you@example.com>
Date: Fri, 19 Dec 2025 11:49:29 +0300
Subject: [PATCH] =?UTF-8?q?test:=20=D0=B4=D0=BE=D0=B1=D0=B0=D0=B2=D0=BB?=
 =?UTF-8?q?=D0=B5=D0=BD?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 TEMA9/M0.py                                   |  29 ++-
 TEMA9/M1.py                                   |  95 +++++-----
 TEMA9/M2.py                                   |  43 ++---
 TEMA9/Res3030.txt                             |   9 +
 TEMA9/Ugol.png                                | Bin 0 -> 30068 bytes
 TEMA9/create_data.py                          |  15 ++
 TEMA9/test.md                                 | 165 ++++++++++++++++++
 TEMA9/ugol.dat                                | Bin 0 -> 199 bytes
 ...й текстовый документ.txt |   0
 9 files changed, 259 insertions(+), 97 deletions(-)
 create mode 100644 TEMA9/Res3030.txt
 create mode 100644 TEMA9/Ugol.png
 create mode 100644 TEMA9/create_data.py
 create mode 100644 TEMA9/test.md
 create mode 100644 TEMA9/ugol.dat
 create mode 100644 TEMA9/Новый текстовый документ.txt

diff --git a/TEMA9/M0.py b/TEMA9/M0.py
index 3786799..b04e2a9 100644
--- a/TEMA9/M0.py
+++ b/TEMA9/M0.py
@@ -1,22 +1,19 @@
-# M0.py
-import pickle
-import pylab
+# M0.pyimport sys
+import os
 import M2
 
-# Получаем данные (они уже прочитаны в M2)
-data = M2.original_data
+output_lines = []
+output_lines.append("Результаты анализа данных о запасах угля")
 
-# График
-pylab.plot(data, marker='o')
-pylab.title("Исходные данные")
-pylab.xlabel("Номер")
-pylab.ylabel("Значение")
-pylab.grid(True)
-pylab.show()
+for country, value in zip(M2.result_countries, M2.result_per_capita):
+    line = f"{country}: {value:.6f} трлн т/млн чел"
+    output_lines.append(line)
+    
+output_lines.append(f"\nОбщее отношение ресурсов к населению: {M2.result_overall:.6f}")
 
-# Запись в бинарный файл
-f = open("RES2a.bin", "wb")
-pickle.dump(data, f)
+f = open("Res3030.txt", "w", encoding="utf-8")
+for line in output_lines:
+    f.write(line + "\n")
 f.close()
 
-print("Исходные данные записаны в RES2a.bin")
+print("\nРезультаты записаны в файл Res3030.txt")
diff --git a/TEMA9/M1.py b/TEMA9/M1.py
index 2878618..0640f04 100644
--- a/TEMA9/M1.py
+++ b/TEMA9/M1.py
@@ -1,53 +1,42 @@
-# M1.py
-import os
-import math
-
-def func1(filename, KK):
-    numbers = []
-    f = open(filename, 'r')
-    for line in f:
-        parts = line.split()
-        for p in parts:
-            numbers.append(float(p))
-    f.close()
-
-    base, ext = os.path.splitext(filename)
-    f1 = open(base + '1' + ext, 'w')
-    f2 = open(base + '2' + ext, 'w')
-    
-    for x in numbers:
-        if x > KK:
-            f1.write(str(x) + '\n')
-        else:
-            f2.write(str(x) + '\n')
-    
-    f1.close()
-    f2.close()
-    return numbers
-
-
-def func2(filename):
-    numbers = []
-    f = open(filename, 'r')
-    for line in f:
-        parts = line.split()
-        for p in parts:
-            numbers.append(float(p))
-    f.close()
-
-    if len(numbers) == 0:
-        return 0, 0, 0, 0, 0  # пустой файл
-
-    n = len(numbers)
-    mean = sum(numbers) / n
-    min_val = min(numbers)
-    max_val = max(numbers)
-    std_dev = math.sqrt(sum((x - mean) ** 2 for x in numbers) / n)
-
-    sorted_nums = sorted(numbers)
-    if n % 2 == 1:
-        median = sorted_nums[n // 2]
-    else:
-        median = (sorted_nums[n // 2 - 1] + sorted_nums[n // 2]) / 2
-
-    return mean, median, min_val, max_val, std_dev
+import pylab
+def func1(data_dict):
+    """
+    Аргумент: словарь {страна: [население, ресурс]}
+    Возвращает:
+        - список стран,
+        - список ресурс/душу,
+        - общее отношение суммарных ресурсов к суммарному населению
+    """
+    countries = []
+    per_capita = []
+    total_pop = 0.0
+    total_res = 0.0
+
+    for country, values in data_dict.items():
+        pop = values[0]
+        res = values[1]
+        countries.append(country)
+        per_capita.append(res / pop if pop != 0 else 0)
+        total_pop += pop
+        total_res += res
+
+    overall_ratio = total_res / total_pop if total_pop != 0 else 0
+    return countries, per_capita, overall_ratio
+
+
+def func2(data_dict):
+    """
+    столбиковая диаграмма распределения ресурсов по странам.
+    """
+    countries = list(data_dict.keys())
+    resources = []
+    for country in countries:
+        resources.append(data_dict[country][1])
+
+    pylab.figure(figsize=(10, 5))
+    pylab.bar(countries, resources, color='blue')
+    pylab.title("Распределение угля по странам (трлн т)")
+    pylab.xlabel("Страны")
+    pylab.ylabel("Запасы угля")
+    pylab.tight_layout()
+    pylab.show()
diff --git a/TEMA9/M2.py b/TEMA9/M2.py
index 0f60e76..05b4fec 100644
--- a/TEMA9/M2.py
+++ b/TEMA9/M2.py
@@ -1,38 +1,25 @@
 # M2.py
 import os
+import pickle
 from M1 import func1, func2
 
-# Запрос имени файла с проверкой существования
-filename = input("Введите имя файла с исходными данными: ")
-while not os.path.isfile(filename):
-    print("Файл не найден.")
-    filename = input("Введите имя файла с исходными данными: ")
+filename = input("Введите имя файла с данными: ").strip()
 
-# Запрос порога
-KK = float(input("Введите пороговое значение KK: "))
+f = open(filename, "rb")
+data = pickle.load(f)
+f.close()
 
-# Вызов func1
-data = func1(filename, KK)
+countries, per_capita, overall_ratio = func1(data)
 
-# Имена новых файлов
-base, ext = os.path.splitext(filename)
-file1 = base + '1' + ext
-file2 = base + '2' + ext
+print("\nСтраны и ресурс на душу населения:")
+for i in range(len(countries)):
+    print(f"{countries[i]}: {per_capita[i]:.6f} трлн т/млн чел")
 
-# Три вызова func2
-files = [filename, file1, file2]
-labels = ["Исходный", "Больше KK", "Не больше KK"]
+print(f"\nОбщее отношение суммарных ресурсов к суммарному населению: {overall_ratio:.6f}")
 
-print("\nРезультаты статистики:")
-print("-" * 50)
-for i in range(3):
-    mean, median, minv, maxv, std = func2(files[i])
-    print(f"\n{labels[i]} файл:")
-    print(f"  Среднее:        {mean:.4f}")
-    print(f"  Медиана:        {median:.4f}")
-    print(f"  Минимум:        {minv:.4f}")
-    print(f"  Максимум:       {maxv:.4f}")
-    print(f"  Ст. откл.:      {std:.4f}")
+func2(data)
 
-# Возвращаем исходные данные для M0
-original_data = data
+result_countries = countries
+result_per_capita = per_capita
+result_overall = overall_ratio
+result_data = data
diff --git a/TEMA9/Res3030.txt b/TEMA9/Res3030.txt
new file mode 100644
index 0000000..5ebd531
--- /dev/null
+++ b/TEMA9/Res3030.txt
@@ -0,0 +1,9 @@
+Результаты анализа данных о запасах угля
+США: 0.076821 трлн т/млн чел
+Россия: 0.103425 трлн т/млн чел
+Австралия: 0.500000 трлн т/млн чел
+Китай: 0.009217 трлн т/млн чел
+Индия: 0.007279 трлн т/млн чел
+Германия: 0.039759 трлн т/млн чел
+
+Общее отношение ресурсов к населению: 0.023178
diff --git a/TEMA9/Ugol.png b/TEMA9/Ugol.png
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diff --git a/TEMA9/create_data.py b/TEMA9/create_data.py
new file mode 100644
index 0000000..83bf2b4
--- /dev/null
+++ b/TEMA9/create_data.py
@@ -0,0 +1,15 @@
+import pickle
+
+data = {
+    "США": [302, 23.2],
+    "Россия": [146, 15.1],
+    "Австралия": [28, 14.0],
+    "Китай": [1443, 13.3],
+    "Индия": [1415, 10.3],
+    "Германия": [83, 3.3]
+}
+
+f = open("ugol.dat", "wb")
+pickle.dump(data, f)
+f.close()
+print("Бинарный файл ugol.dat создан.")
diff --git a/TEMA9/test.md b/TEMA9/test.md
new file mode 100644
index 0000000..250abd9
--- /dev/null
+++ b/TEMA9/test.md
@@ -0,0 +1,165 @@
+## Индивидуальное контрольное задание по теме 9 вариант 6
+
+Анисенков Павел А-01-23
+
+## Задание 
+1) Создайте модуль М1, содержащий две функции: 
+
+- функция 1: аргумент - словарь с исходными данными (ключи - страны, значения - списки с 2 значениями: население, объем некоторого ресурса); функция должна создать два списка: список стран и  список с элементами - для каждой страны значение ресурса на душу населения, а также значение отношения суммарных ресурсов к суммарному населению;
+
+- функция 2: аргумент - словарь, такой же, как в функции1; функция должна построить столбиковую диаграмму, демонстрирующую распределение ресурса по странам. 
+
+2) Создайте еще один модуль М2, в котором должны выполняться операции: 
+
+- запрашивается и вводится имя бинарного файла, проверяется его наличие, и если он существует, то из него считывается объект-словарь с исходными данными;
+
+- вызывается функция 1 и отображаются результаты;
+
+- вызывается функция 2.
+
+3) Создайте модуль М0 - главную программу, которая вызывает М2 и после завершения ее работы записывает полученные результаты в текстовый файл Res3030.txt.
+
+4) Проверьте программу с данными о запасах угля в разных странах:
+
+США 302 23.2
+
+Россия 146 15.1
+
+Австралия 28 14
+
+Китай 1443 13.3
+
+Индия 1415 10.3
+
+Германия 83 3.3
+
+## Решение
+Сначала создадим бинарный файл с данными:
+```py
+import pickle
+
+data = {
+    "США": [302, 23.2],
+    "Россия": [146, 15.1],
+    "Австралия": [28, 14.0],
+    "Китай": [1443, 13.3],
+    "Индия": [1415, 10.3],
+    "Германия": [83, 3.3]
+}
+
+f = open("ugol.dat", "wb")
+pickle.dump(data, f)
+f.close()
+print("Бинарный файл ugol.dat создан.")
+
+
+M1
+import pylab
+def func1(data_dict):
+    """
+    Аргумент: словарь {страна: [население, ресурс]}
+    Возвращает:
+        - список стран,
+        - список ресурс/душу,
+        - общее отношение суммарных ресурсов к суммарному населению
+    """
+    countries = []
+    per_capita = []
+    total_pop = 0.0
+    total_res = 0.0
+
+    for country, values in data_dict.items():
+        pop = values[0]
+        res = values[1]
+        countries.append(country)
+        per_capita.append(res / pop if pop != 0 else 0)
+        total_pop += pop
+        total_res += res
+
+    overall_ratio = total_res / total_pop if total_pop != 0 else 0
+    return countries, per_capita, overall_ratio
+
+
+def func2(data_dict):
+    """
+    столбиковая диаграмма распределения ресурсов по странам.
+    """
+    countries = list(data_dict.keys())
+    resources = []
+    for country in countries:
+        resources.append(data_dict[country][1])
+
+    pylab.figure(figsize=(10, 5))
+    pylab.bar(countries, resources, color='blue')
+    pylab.title("Распределение угля по странам (трлн т)")
+    pylab.xlabel("Страны")
+    pylab.ylabel("Запасы угля")
+    pylab.tight_layout()
+    pylab.show()
+
+
+M2
+import os
+import pickle
+from M1 import func1, func2
+
+filename = input("Введите имя файла с данными: ").strip()
+
+f = open(filename, "rb")
+data = pickle.load(f)
+f.close()
+
+countries, per_capita, overall_ratio = func1(data)
+
+print("\nСтраны и ресурс на душу населения:")
+for i in range(len(countries)):
+    print(f"{countries[i]}: {per_capita[i]:.6f} трлн т/млн чел")
+
+print(f"\nОбщее отношение суммарных ресурсов к суммарному населению: {overall_ratio:.6f}")
+
+func2(data)
+
+result_countries = countries
+result_per_capita = per_capita
+result_overall = overall_ratio
+result_data = data
+
+M0
+import os
+import M2
+
+output_lines = []
+output_lines.append("Результаты анализа данных о запасах угля")
+
+for country, value in zip(M2.result_countries, M2.result_per_capita):
+    line = f"{country}: {value:.6f} трлн т/млн чел"
+    output_lines.append(line)
+
+output_lines.append(f"\nОбщее отношение ресурсов к населению: {M2.result_overall:.6f}")
+
+f = open("Res3030.txt", "w", encoding="utf-8")
+for line in output_lines:
+    f.write(line + "\n")
+f.close()
+
+print("\nРезультаты записаны в файл Res3030.txt")
+```
+
+Отображение результата: 
+
+```py
+Введите имя файла с данными: ugol.dat
+
+Страны и ресурс на душу населения:
+США: 0.076821 трлн т/млн чел
+Россия: 0.103425 трлн т/млн чел
+Австралия: 0.500000 трлн т/млн чел
+Китай: 0.009217 трлн т/млн чел
+Индия: 0.007279 трлн т/млн чел
+Германия: 0.039759 трлн т/млн чел
+
+Общее отношение суммарных ресурсов к суммарному населению: 0.023178
+
+Результаты записаны в файл Res3030.txt
+```
+![](Ugol.png)
\ No newline at end of file
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