add: sequences homework

Week03/pyramid_khazar_abdullayev.py

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+def calculate_pyramid_height(number_of_blocks):
+    height = 0
+    needed = 1 
+    while number_of_blocks >= needed:
+        number_of_blocks -= needed
+        height += 1
+        needed += 1
+    return height
+

Week03/sequences_khazar_abdullayev.py

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+def remove_duplicates(seq: list) -> list:
+    seq.sort()
+    i = 1
+    while i < len(seq):
+        if seq[i] == seq[i - 1]:
+            seq.pop(i)
+        else:
+            i = i + 1
+
+    return seq
+
+def list_counts(seq: list) -> dict:
+    seq.sort()
+    counts = {}
+    for item in seq:
+        if item in counts:
+            counts[item] += 1
+        else:
+            counts[item] = 1
+    return counts
+
+def reverse_dict(d: dict) -> dict:
+    d_reverse = {}
+    for key in d:
+        value = d[key]
+        d_reverse[value] = key
+
+    return d_reverse

Week04/decorators_khazar_abdullayev.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

Week04/functions_khazar_abdullayev.py

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+custom_power = lambda x=0, /, e=1: x ** e
+
+
+def custom_equation(x: int = 0, y: int = 0, /, a: int = 1, b: int = 1, *, c: int = 1) -> float:
+    """
+    Calculate the custom equation (x**a + y**b) / c.
+
+    :param x: first base
+    :param y: second base
+    :param a: first exponent
+    :param b: second exponent
+    :param c: divisor
+    :return: the computed float result
+    """
+    equation = (x**a + y**b) / c
+    return equation
+
+
+def fn_w_counter() -> (int, dict[str, int]):
+    if not hasattr(fn_w_counter, "call_counter"):
+        fn_w_counter.call_counter = 0
+        fn_w_counter.caller_dict = {}
+    caller = __name__
+    fn_w_counter.call_counter += 1
+    if caller in fn_w_counter.caller_dict:
+        fn_w_counter.caller_dict[caller] += 1
+    else:
+        fn_w_counter.caller_dict[caller] = 1
+    return fn_w_counter.call_counter, fn_w_counter.caller_dict