init repo + add edge-telemetry puzzle

edge-telemetry/challenge.md

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+**THIS CHALLENGE GENERATED BY CHATGPT**
+
+# Edge Telemetry
+## Problem Overview:
+
+You are developing software for an edge device that collects power usage data from sensors at periodic intervals.
+The device has limited memory, so you need to design a system that efficiently stores recent data, compresses it,
+and manages memory effectively. The goal is to minimize the amount of memory used while ensuring that the telemetry
+data is still accessible and compressed.
+
+## Requirements:
+**Data Structure:** You will be given a list of telemetry readings, each consisting of a timestamp and power usage value. You need to store the readings in a compressed form, using Run-Length Encoding (RLE).
+
+**Memory Management:** The device has a limited memory capacity of N readings. If the number of readings exceeds this limit, the oldest readings should be discarded to make room for the new data.
+
+**Compression:** Use Run-Length Encoding (RLE) to compress consecutive identical readings. This will reduce the amount of memory needed for storing repeated values.
+
+## API:
+
+`add_reading(timestamp, power_usage)`: Adds a new telemetry reading and compresses the data using RLE.
+
+`get_compressed_data()`: Returns the compressed data as a list of tuples, where each tuple contains the power usage value and the count of consecutive occurrences.
+
+**END LLM GENERATED CONTENT**