Completed week 8 prompt with Python

week-8/Python/prabhjot-singh.py

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+
+# Prompt 1: https://i.imgur.com/JTOFAnY.png
+# Uses bisect module, passes everything
+from bisect import bisect_left
+from itertools import accumulate
+
+n, q = map(int, input().split())
+nums = list(map(int, input().split()))
+accumulatedSum = list(accumulate(nums))
+
+queries = list(map(int, input().split())) [:q] # Up to q (idk why they provide more than q, kinda pointless, tbh)
+
+for query in queries:
+    print(bisect_left(accumulatedSum, query) + 1)
+
+
+# Passes 2 test cases, one timed out
+# Modifies normal binary search algorithm
+# 
+# n_q = input().split()
+# n = int(n_q[0])
+# q = int(n_q[1])
+
+# nums = [int(i) for i in input().split()]
+# queries = [int(i) for i in input().split()]
+
+# accumulatedSum = []
+# accSum = 0
+# for i in range(n):
+#     accSum = accSum + nums[i]
+#     accumulatedSum.append(accSum)
+
+# for i in range(q):
+#     query = queries[i]
+#     low = 0
+#     high = n - 1
+#     minimum = n - 1
+
+#     while low <= high:
+#         mid = (high + low) // 2
+#         if accumulatedSum[mid] < query:
+#             low = mid + 1
+#         elif accumulatedSum[mid] > query:
+#             minimum = min(mid, minimum)
+#             high = mid - 1
+#         else:
+#             minimum = min(mid, minimum)
+#             break
+
+#     print(minimum + 1)
+
+
+
+# Prompt 2: https://i.imgur.com/CfuKZ5p.png
+# Conciser version using collections module and a lambda function
+from collections import Counter
+n = int(input())
+nums = list(map(int, input().split()))
+k = int(input())
+counts = Counter(nums)
+print(
+        # Returns the smallest num, count tuple
+        min(
+                # Filters through the items in the counter
+                # for counts that match k
+                filter(lambda item_freq: item_freq[1] == k, counts.items())
+        )
+[0]) # Prints the num from the the smallest num, count tuple
+
+
+# Passes all test cases using item->count dictionary
+# item_freq_dict = {}
+# for num in nums:
+#     try:
+#         item_freq_dict[num] += 1
+#     except:
+#         item_freq_dict[num] = 1
+
+# minNum = float("inf")
+# for num, count in item_freq_dict.items():
+#     if count == k:
+#         minNum = min(minNum, num)
+# print(minNum)