jmalkin commented on code in PR #29:
URL: 
https://github.com/apache/datasketches-python/pull/29#discussion_r1453676490


##########
docs/source/hyper_log_log.rst:
##########
@@ -7,26 +7,49 @@ If the ONLY use case for sketching is counting uniques and 
merging, the HLL sket
 This implementation offers three different types of HLL sketch, each with 
different trade-offs with accuracy, space and performance. 
 These types are specified with the target_hll_type parameter.
 
-In terms of accuracy, all three types, for the same lg_config_k, have the same 
error distribution as a function of n, the number of unique values fed to the 
sketch.
-The configuration parameter `lg_config_k` is the log-base-2 of `K`, where `K` 
is the number of buckets or slots for the sketch.
+In terms of accuracy, all three types, for the same lg_config_k, have the same 
error distribution as a function of `n`, the number of unique values fed to the 
sketch.
+The configuration parameter `lg_config_k` is the log-base-2 of `k`, where `k`` 
is the number of buckets or slots for the sketch.

Review Comment:
   Good idea. I think I hadn't realized we need double to get the intended 
effect when I went through that file.



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