2 , 3 , 4 weeks hw

Author: hilmicankaradag

Week02/types_hilmican_karadag.py

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+my_int = 10
+my_float = 3.14
+my_bool = True
+my_complex = 3 + 9j

Week03/pyramid_hilmican_karadag.py

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+def calculate_pyramid_height(number_of_blocks):
+
+    height = 1
+
+    while number_of_blocks >= x:
+
+        number_of_blocks = number_of_blocks - x
+
+        height = height + 1
+
+    return height

Week03/sequences_hilmican_karadag.py

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+def remove_duplicates(seq: list) -> list:
+    """
+    This function removes duplicates from a list.
+    """
+    result = []
+    for item in seq:
+        if item not in result:
+            result.append(item)
+    return result
+
+
+def list_counts(seq: list) -> dict:
+    """
+    This function counts the number of occurrences of each item in a list.
+    """
+    counts = {}
+    for item in seq:
+        counts[item] = counts.get(item, 0) + 1
+    return counts
+
+
+def reverse_dict(d: dict) -> dict:
+    """
+    This function reverses the keys and values of a dictionary.
+    """
+    return {value: key for key, value in d.items()}

Week04/decorators_hilmican_karadag.py

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+import functools
+import time
+import tracemalloc
+
+
+def performance(fn):
+    """
+    Decorator that measures execution time and memory of the wrapped function.
+
+    Statistics are stored as attributes on the decorator itself:
+
+    - ``performance.counter``: number of decorated-function calls
+    - ``performance.total_time``: total time spent in seconds
+    - ``performance.total_mem``: total memory consumed in bytes
+
+    :param fn: the function to decorate
+    :type fn: callable
+    :return: the wrapped function
+    :rtype: callable
+    """
+
+    @functools.wraps(fn)
+    def wrapper(*args, **kwargs):
+        started_here = not tracemalloc.is_tracing()
+        if started_here:
+            tracemalloc.start()
+        tracemalloc.reset_peak()
+        mem_before = tracemalloc.get_traced_memory()[0]
+        start = time.perf_counter()
+
+        try:
+            return fn(*args, **kwargs)
+        finally:
+            elapsed = time.perf_counter() - start
+            peak = tracemalloc.get_traced_memory()[1]
+            if started_here:
+                tracemalloc.stop()
+            performance.counter += 1
+            performance.total_time += elapsed
+            performance.total_mem += max(peak - mem_before, 0)
+
+    return wrapper
+
+
+performance.counter = 0
+performance.total_time = 0.0
+performance.total_mem = 0
+
+
+if __name__ == "__main__":
+
+    @performance
+    def build_list(n: int) -> list[int]:
+        return [i * i for i in range(n)]
+
+    build_list(100_000)
+    build_list(50_000)
+    print(performance.counter, performance.total_time, performance.total_mem)