Tidy up

Author: Shehab Abdel-Salam

chapters/chapter10_oop/exercises/exercise_70.py

@@ -10,7 +10,7 @@
 # circle = Circle(5)
 # assert circle.area() == 78.54
 
-from abc import ABC, abstractmethod
+from abc import ABC, abstractmethod  # noqa: F401
 
 PI = 3.14159
 

chapters/chapter10_oop/exercises/exercise_72.py

@@ -21,7 +21,7 @@
 # assert shelf.get_books_by_genre(Genre.Fiction) == [book1, book2]
 # shelf.remove_book(book1)
 
-from .exercise_71 import Book, Genre
+from .exercise_71 import Book, Genre  # noqa: F401
 
 
 class BookShelf:

chapters/chapter10_oop/exercises/exercise_73.py

@@ -26,8 +26,8 @@
 # assert library.is_book_in_library(Book("Non Existing Book", author, 2021, Genre.Fiction)) is False
 # library.remove_shelf(shelf1)
 # assert library.get_books() == [book2]
-from .exercise_71 import Book, Genre
-from .exercise_72 import BookShelf
+from .exercise_71 import Book, Genre  # noqa: F401
+from .exercise_72 import BookShelf  # noqa: F401
 
 
 class Library:

chapters/chapter10_oop/exercises/exercise_74.py

@@ -24,7 +24,7 @@
 # 5. total_balance (a float)
 
 from __future__ import annotations
-from dataclasses import dataclass, field
+from dataclasses import dataclass, field  # noqa: F401
 
 
 @dataclass

chapters/chapter11_standard_library/exercises/exercise_81.py

@@ -1,13 +1,9 @@
 # Exercise 81 - Functools
 # Write a function that uses `functools.partial` to create a function that always multiplies by 10.
-from functools import partial
 
 
 def multiply(x, y):
     return x * y
 
 
-def multiply(): ...
-
-
 multiply_by_10 = ...

chapters/chapter11_standard_library/exercises/exercise_82.py

@@ -1,7 +1,6 @@
 # Exercise 82 - Flatten a List of Lists
 # Write a function that flattens a list of lists using `itertools.chain`.
 # The function should take a list of lists and return a single flattened list.
-from itertools import chain
 
 # Example:
 # flatten_list_of_lists([[1, 2, 3], [4, 5], [6, 7, 8, 9]]) == [1, 2, 3, 4, 5, 6, 7, 8, 9]

chapters/chapter11_standard_library/exercises/exercise_83.py

@@ -1,6 +1,5 @@
 # Exercise 83 - Cached Fibonacci
 # Given this fibonacci function, we want to cache the results using `functools.lru`.
-from functools import lru_cache
 
 
 def compute_fibonacci(n: int) -> int:

chapters/chapter11_standard_library/exercises/exercise_84.py

@@ -5,7 +5,7 @@
 
 # Can you fix this?
 
-import logging
+import logging  # noqa: F401
 
 
 class RateInterestCalculator:

chapters/chapter11_standard_library/exercises/exercise_85.py

@@ -4,7 +4,7 @@
 # The timestamp should be converted to a `datetime` object.
 #
 from dataclasses import dataclass
-from datetime import datetime
+from datetime import datetime  # noqa: F401
 
 # Example:
 # 2024-09-01,Sold 100 shares of AAPL

chapters/chapter14_testing/tests/test_ch14.py

@@ -1,7 +1,7 @@
-import pytest
-from ..exercises.exercise_94 import clean_text
-from ..exercises.exercise_95 import SalaryCalculator
-from ..exercises.exercise_96 import ProductSalesCalculator, Discount
+import pytest  # noqa: F401
+from ..exercises.exercise_94 import clean_text  # noqa
+from ..exercises.exercise_95 import SalaryCalculator  # noqa: F401
+from ..exercises.exercise_96 import ProductSalesCalculator, Discount  # noqa: F401
 
 
 def test_e94():

chapters/chapter15_concurrency/exercises/exercise_100.py

@@ -1,5 +1,7 @@
 # Exercise 100 - Decorator for Async Functions
 # Given the following `time_it` decorator, extend it to support async functions.
+# NOTE: To run the unit tests for this exercise, you need to install the following:
+# $ pip install pytest pytest-asyncio
 
 import asyncio
 from functools import wraps

chapters/chapter15_concurrency/exercises/exercise_97.py

@@ -5,7 +5,7 @@
 # Spin up a new thread for each row in the matrix to calculate the
 #  sum of the two matrices.
 # Use the threading module to accomplish this task.
-import threading
+import threading  # noqa
 
 
 def add_matrices(matrix1: list[list[int]], matrix2: list[list[int]]) -> list[list[int]]:

chapters/chapter15_concurrency/exercises/exercise_98.py

@@ -1,6 +1,8 @@
 # Exercise 98 - Asynchronous Processing
 # Write an asynchronous function that fetches data from multiple sources and processes it concurrently.
 # The function should take a list of sources and return a list of processed data.
+# NOTE: To run the unit tests for this exercise, you need to install the following:
+# $ pip install pytest pytest-asyncio
 
 import asyncio
 import random

chapters/chapter15_concurrency/exercises/exercise_99.py

@@ -3,7 +3,7 @@
 # and withdraw operations.
 # Modify the class to make it thread-safe so that it can handle
 # concurrent deposits and withdrawals correctly.
-import threading
+import threading  # noqa
 
 
 class BankAccount: